Console Output

Started by upstream project "CE_gpkit_Push_dependency_tests" build number 501
originally caused by:
 Started by GitHub push by bqpd
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on macys_VM in workspace /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
Wiping out workspace first.
Cloning the remote Git repository
 > JGit fetch # timeout=10
remote: Enumerating objects
remote: Counting objects
remote: Compressing objects
Receiving objects
Resolving deltas
Avoid second fetch
Checking out Revision 668067fe8c819fbcfd22371fbcee93ec60f9f10d (refs/remotes/origin/master)
Commit message: "Fix broken links in install docs (#1577)"
First time build. Skipping changelog.
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
[GitCheckoutListener] Recording commits of 'git https://github.com/convexengineering/gpkit'
[GitCheckoutListener] Found no previous build with recorded Git commits
[GitCheckoutListener] -> Starting initial recording of commits
[GitCheckoutListener] -> Single parent commit found - branch is already descendant of target branch head
[GitCheckoutListener] -> Using head commit '668067f' as starting point
[GitCheckoutListener] -> Recorded 200 new commits
[GitCheckoutListener] -> Git commit decorator successfully obtained 'hudson.plugins.git.browser.GithubWeb@196f88c7' to render commit links
Run condition [Execution node ] enabling prebuild for step [Execute shell]
[Execution node] check if [macys_VM] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[0.18] $ /bin/bash -xe /var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/jenkins11978821883946159606.sh
+ git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit
Cloning into 'JenkinsGPkit'...
+ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/gpkit_PR_dependencies.sh
++ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/all_machines.sh
+++ export PYTHONHASHSEED=0
+++ PYTHONHASHSEED=0
+++ echo 'Python hash seed set to: 0'
Python hash seed set to: 0
+++ [[ macys_VM == *macys* ]]
+++ export PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ virtualenv --python=python3 /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins
created virtual environment CPython3.11.5.final.0-64 in 5711ms
  creator CPython3Posix(dest=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/jenkins/Library/Application Support/virtualenv)
    added seed packages: pip==23.3.2, setuptools==69.0.3, wheel==0.42.0
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
+++ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/activate
++++ '[' /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/activate = /var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/jenkins11978821883946159606.sh ']'
++++ deactivate nondestructive
++++ unset -f pydoc
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ hash -r
++++ '[' -z '' ']'
++++ unset VIRTUAL_ENV
++++ unset VIRTUAL_ENV_PROMPT
++++ '[' '!' nondestructive = nondestructive ']'
++++ VIRTUAL_ENV=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins
++++ '[' darwin20 = cygwin ']'
++++ '[' darwin20 = msys ']'
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
++++ PATH=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
++++ export PATH
++++ '[' x '!=' x ']'
+++++ basename /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins
++++ VIRTUAL_ENV_PROMPT=venv_jenkins
++++ export VIRTUAL_ENV_PROMPT
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ _OLD_VIRTUAL_PS1=
++++ PS1='(venv_jenkins) '
++++ export PS1
++++ alias pydoc
++++ true
++++ hash -r
+++ ls /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18
CODE_OF_CONDUCT.md
JenkinsGPkit
LICENSE
MANIFEST
README.md
docs
fulltests.sh
gpkit
linecount.sh
pylint.sh
rtd_requirements.txt
runtests.sh
setup.py
venv_jenkins
++++ which pip
+++ export PIP=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip
+++ PIP=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip
+++ pip_install pip
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade pip
Requirement already satisfied: pip in ./venv_jenkins/lib/python3.11/site-packages (23.3.2)

real	0m3.308s
user	0m1.759s
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++ export optimizer=mosek
++ optimizer=mosek
++ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/mosek_installs.sh
+++ [[ mosek == mosek ]]
+++ [[ macys_VM == *reynolds* ]]
+++ [[ macys_VM == *macys* ]]
+++ export PATH=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ PATH=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ export DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ python /Users/jenkins/mosek/9.1/tools/platform/osx64x86/python/3/setup.py install
/Library/Developer/CommandLineTools/usr/bin/install_name_tool: warning: changes being made to the file will invalidate the code signature in: /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib/python3.11/site-packages/mosek/libcilkrts.5.dylib (for architecture i386)
/Library/Developer/CommandLineTools/usr/bin/install_name_tool: warning: changes being made to the file will invalidate the code signature in: /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib/python3.11/site-packages/mosek/libcilkrts.5.dylib (for architecture x86_64)
+++ msktestlic
Mosek license manager: License path: /Users/jenkins/mosek/mosek.lic
Mosek license manager:  Checkout license feature 'PTS' from flexlm.
Mosek license manager:  Checkout time 0.05. r: 0 status: 0
Problem
  Name                   :                 
  Objective sense        : min             
  Type                   : LO (linear optimization problem)
  Constraints            : 1               
  Cones                  : 0               
  Scalar variables       : 5000            
  Matrix variables       : 0               
  Integer variables      : 0               

Optimizer started.
Presolve started.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator - tries                  : 2                 time                   : 0.00            
Lin. dep.  - tries                  : 0                 time                   : 0.00            
Lin. dep.  - number                 : 0               
Presolve terminated. Time: 0.00    
Optimizer terminated. Time: 0.00    

************************************
A license was checked out correctly.
************************************
+++ export 'GPKITSOLVERS=mosek_cli, mosek_conif'
+++ GPKITSOLVERS='mosek_cli, mosek_conif'
+++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py
++ export optimizer=cvxopt
++ optimizer=cvxopt
++ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/cvxopt_installs.sh
+++ [[ cvxopt == cvxopt ]]
+++ pip_install cvxopt
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade cvxopt
Collecting cvxopt
  Using cached cvxopt-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl.metadata (1.3 kB)
Using cached cvxopt-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl (13.8 MB)
Installing collected packages: cvxopt
Successfully installed cvxopt-1.3.2

real	0m2.970s
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+++ python -c 'import cvxopt'
+++ export GPKITSOLVERS=cvxopt
+++ GPKITSOLVERS=cvxopt
+++ COVERAGE_OMIT='gpkit/solvers/mosek*'
++ export 'GPKITSOLVERS=mosek_cli, mosek_conif, cvxopt'
++ GPKITSOLVERS='mosek_cli, mosek_conif, cvxopt'
++ source /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/pip_installs_base.sh
+++ pip_install adce
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade adce
Collecting adce
  Using cached adce-1.3.3.2-py3-none-any.whl
Installing collected packages: adce
Successfully installed adce-1.3.3.2

real	0m1.754s
user	0m0.881s
sys	0m0.213s
+++ pip_install unittest-xml-reporting
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade unittest-xml-reporting
Collecting unittest-xml-reporting
  Using cached unittest_xml_reporting-3.2.0-py2.py3-none-any.whl (20 kB)
Collecting lxml (from unittest-xml-reporting)
  Using cached lxml-5.0.0-cp311-cp311-macosx_11_0_universal2.whl.metadata (6.7 kB)
Using cached lxml-5.0.0-cp311-cp311-macosx_11_0_universal2.whl (8.8 MB)
Installing collected packages: lxml, unittest-xml-reporting
Successfully installed lxml-5.0.0 unittest-xml-reporting-3.2.0

real	0m2.311s
user	0m1.476s
sys	0m0.433s
+++ pip_install pandas
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade pandas
Collecting pandas
  Using cached pandas-2.1.4-cp311-cp311-macosx_10_9_x86_64.whl.metadata (18 kB)
Collecting numpy<2,>=1.23.2 (from pandas)
  Using cached numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl.metadata (61 kB)
Collecting python-dateutil>=2.8.2 (from pandas)
  Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting pytz>=2020.1 (from pandas)
  Using cached pytz-2023.3.post1-py2.py3-none-any.whl.metadata (22 kB)
Collecting tzdata>=2022.1 (from pandas)
  Using cached tzdata-2023.4-py2.py3-none-any.whl.metadata (1.4 kB)
Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas)
  Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Using cached pandas-2.1.4-cp311-cp311-macosx_10_9_x86_64.whl (11.6 MB)
Using cached numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl (20.6 MB)
Using cached pytz-2023.3.post1-py2.py3-none-any.whl (502 kB)
Using cached tzdata-2023.4-py2.py3-none-any.whl (346 kB)
Installing collected packages: pytz, tzdata, six, numpy, python-dateutil, pandas
Successfully installed numpy-1.26.3 pandas-2.1.4 python-dateutil-2.8.2 pytz-2023.3.post1 six-1.16.0 tzdata-2023.4

real	0m21.608s
user	0m12.788s
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+++ pip_install matplotlib
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade matplotlib
Collecting matplotlib
  Using cached matplotlib-3.8.2-cp311-cp311-macosx_10_12_x86_64.whl.metadata (5.8 kB)
Collecting contourpy>=1.0.1 (from matplotlib)
  Using cached contourpy-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl.metadata (5.8 kB)
Collecting cycler>=0.10 (from matplotlib)
  Using cached cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
Collecting fonttools>=4.22.0 (from matplotlib)
  Using cached fonttools-4.47.0-cp311-cp311-macosx_10_9_x86_64.whl.metadata (157 kB)
Collecting kiwisolver>=1.3.1 (from matplotlib)
  Using cached kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl.metadata (6.4 kB)
Requirement already satisfied: numpy<2,>=1.21 in ./venv_jenkins/lib/python3.11/site-packages (from matplotlib) (1.26.3)
Collecting packaging>=20.0 (from matplotlib)
  Using cached packaging-23.2-py3-none-any.whl.metadata (3.2 kB)
Collecting pillow>=8 (from matplotlib)
  Using cached pillow-10.2.0-cp311-cp311-macosx_10_10_x86_64.whl.metadata (9.7 kB)
Collecting pyparsing>=2.3.1 (from matplotlib)
  Using cached pyparsing-3.1.1-py3-none-any.whl.metadata (5.1 kB)
Requirement already satisfied: python-dateutil>=2.7 in ./venv_jenkins/lib/python3.11/site-packages (from matplotlib) (2.8.2)
Requirement already satisfied: six>=1.5 in ./venv_jenkins/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)
Using cached matplotlib-3.8.2-cp311-cp311-macosx_10_12_x86_64.whl (7.6 MB)
Using cached contourpy-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl (258 kB)
Using cached cycler-0.12.1-py3-none-any.whl (8.3 kB)
Using cached fonttools-4.47.0-cp311-cp311-macosx_10_9_x86_64.whl (2.3 MB)
Using cached kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl (68 kB)
Using cached packaging-23.2-py3-none-any.whl (53 kB)
Using cached pillow-10.2.0-cp311-cp311-macosx_10_10_x86_64.whl (3.5 MB)
Using cached pyparsing-3.1.1-py3-none-any.whl (103 kB)
Installing collected packages: pyparsing, pillow, packaging, kiwisolver, fonttools, cycler, contourpy, matplotlib
Successfully installed contourpy-1.2.0 cycler-0.12.1 fonttools-4.47.0 kiwisolver-1.4.5 matplotlib-3.8.2 packaging-23.2 pillow-10.2.0 pyparsing-3.1.1

real	0m16.543s
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+++ pip_install coverage
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade coverage
Collecting coverage
  Using cached coverage-7.4.0-cp311-cp311-macosx_10_9_x86_64.whl.metadata (8.1 kB)
Using cached coverage-7.4.0-cp311-cp311-macosx_10_9_x86_64.whl (205 kB)
Installing collected packages: coverage
Successfully installed coverage-7.4.0

real	0m2.189s
user	0m1.342s
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+++ pip_install ipywidgets
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade ipywidgets
Collecting ipywidgets
  Using cached ipywidgets-8.1.1-py3-none-any.whl.metadata (2.4 kB)
Collecting comm>=0.1.3 (from ipywidgets)
  Using cached comm-0.2.1-py3-none-any.whl.metadata (3.7 kB)
Collecting ipython>=6.1.0 (from ipywidgets)
  Using cached ipython-8.19.0-py3-none-any.whl.metadata (5.9 kB)
Collecting traitlets>=4.3.1 (from ipywidgets)
  Using cached traitlets-5.14.1-py3-none-any.whl.metadata (10 kB)
Collecting widgetsnbextension~=4.0.9 (from ipywidgets)
  Using cached widgetsnbextension-4.0.9-py3-none-any.whl.metadata (1.6 kB)
Collecting jupyterlab-widgets~=3.0.9 (from ipywidgets)
  Using cached jupyterlab_widgets-3.0.9-py3-none-any.whl.metadata (4.1 kB)
Collecting decorator (from ipython>=6.1.0->ipywidgets)
  Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting jedi>=0.16 (from ipython>=6.1.0->ipywidgets)
  Using cached jedi-0.19.1-py2.py3-none-any.whl.metadata (22 kB)
Collecting matplotlib-inline (from ipython>=6.1.0->ipywidgets)
  Using cached matplotlib_inline-0.1.6-py3-none-any.whl (9.4 kB)
Collecting prompt-toolkit<3.1.0,>=3.0.41 (from ipython>=6.1.0->ipywidgets)
  Using cached prompt_toolkit-3.0.43-py3-none-any.whl.metadata (6.5 kB)
Collecting pygments>=2.4.0 (from ipython>=6.1.0->ipywidgets)
  Using cached pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)
Collecting stack-data (from ipython>=6.1.0->ipywidgets)
  Using cached stack_data-0.6.3-py3-none-any.whl.metadata (18 kB)
Collecting pexpect>4.3 (from ipython>=6.1.0->ipywidgets)
  Using cached pexpect-4.9.0-py2.py3-none-any.whl.metadata (2.5 kB)
Collecting parso<0.9.0,>=0.8.3 (from jedi>=0.16->ipython>=6.1.0->ipywidgets)
  Using cached parso-0.8.3-py2.py3-none-any.whl (100 kB)
Collecting ptyprocess>=0.5 (from pexpect>4.3->ipython>=6.1.0->ipywidgets)
  Using cached ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB)
Collecting wcwidth (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets)
  Using cached wcwidth-0.2.12-py2.py3-none-any.whl.metadata (14 kB)
Collecting executing>=1.2.0 (from stack-data->ipython>=6.1.0->ipywidgets)
  Using cached executing-2.0.1-py2.py3-none-any.whl.metadata (9.0 kB)
Collecting asttokens>=2.1.0 (from stack-data->ipython>=6.1.0->ipywidgets)
  Using cached asttokens-2.4.1-py2.py3-none-any.whl.metadata (5.2 kB)
Collecting pure-eval (from stack-data->ipython>=6.1.0->ipywidgets)
  Using cached pure_eval-0.2.2-py3-none-any.whl (11 kB)
Requirement already satisfied: six>=1.12.0 in ./venv_jenkins/lib/python3.11/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets) (1.16.0)
Using cached ipywidgets-8.1.1-py3-none-any.whl (139 kB)
Using cached comm-0.2.1-py3-none-any.whl (7.2 kB)
Using cached ipython-8.19.0-py3-none-any.whl (808 kB)
Using cached jupyterlab_widgets-3.0.9-py3-none-any.whl (214 kB)
Using cached traitlets-5.14.1-py3-none-any.whl (85 kB)
Using cached widgetsnbextension-4.0.9-py3-none-any.whl (2.3 MB)
Using cached jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)
Using cached pexpect-4.9.0-py2.py3-none-any.whl (63 kB)
Using cached prompt_toolkit-3.0.43-py3-none-any.whl (386 kB)
Using cached pygments-2.17.2-py3-none-any.whl (1.2 MB)
Using cached stack_data-0.6.3-py3-none-any.whl (24 kB)
Using cached asttokens-2.4.1-py2.py3-none-any.whl (27 kB)
Using cached executing-2.0.1-py2.py3-none-any.whl (24 kB)
Using cached wcwidth-0.2.12-py2.py3-none-any.whl (34 kB)
Installing collected packages: wcwidth, pure-eval, ptyprocess, widgetsnbextension, traitlets, pygments, prompt-toolkit, pexpect, parso, jupyterlab-widgets, executing, decorator, asttokens, stack-data, matplotlib-inline, jedi, comm, ipython, ipywidgets
Successfully installed asttokens-2.4.1 comm-0.2.1 decorator-5.1.1 executing-2.0.1 ipython-8.19.0 ipywidgets-8.1.1 jedi-0.19.1 jupyterlab-widgets-3.0.9 matplotlib-inline-0.1.6 parso-0.8.3 pexpect-4.9.0 prompt-toolkit-3.0.43 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.17.2 stack-data-0.6.3 traitlets-5.14.1 wcwidth-0.2.12 widgetsnbextension-4.0.9

real	0m24.574s
user	0m5.441s
sys	0m2.149s
+++ pip_install ipysankeywidget
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade ipysankeywidget
Collecting ipysankeywidget
  Using cached ipysankeywidget-0.5.0-py3-none-any.whl (330 kB)
Requirement already satisfied: ipywidgets<9,>=7.6.0 in ./venv_jenkins/lib/python3.11/site-packages (from ipysankeywidget) (8.1.1)
Requirement already satisfied: comm>=0.1.3 in ./venv_jenkins/lib/python3.11/site-packages (from ipywidgets<9,>=7.6.0->ipysankeywidget) (0.2.1)
Requirement already satisfied: ipython>=6.1.0 in ./venv_jenkins/lib/python3.11/site-packages (from ipywidgets<9,>=7.6.0->ipysankeywidget) (8.19.0)
Requirement already satisfied: traitlets>=4.3.1 in ./venv_jenkins/lib/python3.11/site-packages (from ipywidgets<9,>=7.6.0->ipysankeywidget) (5.14.1)
Requirement already satisfied: widgetsnbextension~=4.0.9 in ./venv_jenkins/lib/python3.11/site-packages (from ipywidgets<9,>=7.6.0->ipysankeywidget) (4.0.9)
Requirement already satisfied: jupyterlab-widgets~=3.0.9 in ./venv_jenkins/lib/python3.11/site-packages (from ipywidgets<9,>=7.6.0->ipysankeywidget) (3.0.9)
Requirement already satisfied: decorator in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (5.1.1)
Requirement already satisfied: jedi>=0.16 in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.19.1)
Requirement already satisfied: matplotlib-inline in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.1.6)
Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (3.0.43)
Requirement already satisfied: pygments>=2.4.0 in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (2.17.2)
Requirement already satisfied: stack-data in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.6.3)
Requirement already satisfied: pexpect>4.3 in ./venv_jenkins/lib/python3.11/site-packages (from ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (4.9.0)
Requirement already satisfied: parso<0.9.0,>=0.8.3 in ./venv_jenkins/lib/python3.11/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.8.3)
Requirement already satisfied: ptyprocess>=0.5 in ./venv_jenkins/lib/python3.11/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.7.0)
Requirement already satisfied: wcwidth in ./venv_jenkins/lib/python3.11/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.2.12)
Requirement already satisfied: executing>=1.2.0 in ./venv_jenkins/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (2.0.1)
Requirement already satisfied: asttokens>=2.1.0 in ./venv_jenkins/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (2.4.1)
Requirement already satisfied: pure-eval in ./venv_jenkins/lib/python3.11/site-packages (from stack-data->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (0.2.2)
Requirement already satisfied: six>=1.12.0 in ./venv_jenkins/lib/python3.11/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets<9,>=7.6.0->ipysankeywidget) (1.16.0)
Installing collected packages: ipysankeywidget
Successfully installed ipysankeywidget-0.5.0

real	0m2.169s
user	0m1.300s
sys	0m0.195s
+++ pip_install plotly
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade plotly
Collecting plotly
  Using cached plotly-5.18.0-py3-none-any.whl.metadata (7.0 kB)
Collecting tenacity>=6.2.0 (from plotly)
  Using cached tenacity-8.2.3-py3-none-any.whl.metadata (1.0 kB)
Requirement already satisfied: packaging in ./venv_jenkins/lib/python3.11/site-packages (from plotly) (23.2)
Using cached plotly-5.18.0-py3-none-any.whl (15.6 MB)
Using cached tenacity-8.2.3-py3-none-any.whl (24 kB)
Installing collected packages: tenacity, plotly
Successfully installed plotly-5.18.0 tenacity-8.2.3

real	2m35.237s
user	0m12.674s
sys	0m14.380s
+++ pip_install pytest
+++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade pytest
Collecting pytest
  Using cached pytest-7.4.4-py3-none-any.whl.metadata (7.9 kB)
Collecting iniconfig (from pytest)
  Using cached iniconfig-2.0.0-py3-none-any.whl (5.9 kB)
Requirement already satisfied: packaging in ./venv_jenkins/lib/python3.11/site-packages (from pytest) (23.2)
Collecting pluggy<2.0,>=0.12 (from pytest)
  Using cached pluggy-1.3.0-py3-none-any.whl.metadata (4.3 kB)
Using cached pytest-7.4.4-py3-none-any.whl (325 kB)
Using cached pluggy-1.3.0-py3-none-any.whl (18 kB)
Installing collected packages: pluggy, iniconfig, pytest
Successfully installed iniconfig-2.0.0 pluggy-1.3.0 pytest-7.4.4

real	0m3.130s
user	0m1.896s
sys	0m0.397s
++++ which coverage
+++ export COVERAGE=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/coverage
+++ COVERAGE=/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/coverage
++ pip_install numpy==1.19.5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Downloading numpy-1.19.5.zip (7.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.3/7.3 MB 20.8 MB/s eta 0:00:00
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-ab1jzd7d/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4yif80a/numpy_cebfc79148234112b421b839704216f0/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	3m0.897s
user	2m10.962s
sys	0m15.360s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-l7w2yn0e/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9xjefggx/numpy_f3e08c8f649b46cfb5c1dab011b64b09/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: numpy/core/src/umath/extobj.c
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.423s
user	1m58.455s
sys	0m12.699s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-r1ies_l3/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/reduction.c
      clang: numpy/core/src/multiarray/shape.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-uykwhrnx/numpy_9e18738d0ebe47e589503681e799fc8d/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.069s
user	1m58.385s
sys	0m12.705s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-btj7qqqx/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/common/mem_overlap.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: numpy/core/src/umath/extobj.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-vx3hx3vh/numpy_1412068293604012ab08558cdb46b08b/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m15.409s
user	1m58.494s
sys	0m12.820s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-1pc9srk4/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/umath/extobj.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zdk_poge/numpy_84402709ad8c4babb26564c2485a7f90/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m15.236s
user	1m58.839s
sys	0m12.610s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-s1o4ew8p/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      running build_clib
      customize UnixCCompiler
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      creating build/temp.macosx-11-x86_64-3.11
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      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
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      clang: numpy/core/src/npymath/halffloat.c
      xcrun: adding 4 object files to build/temp.macosx-11-x86_64-3.11/libnpymath.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpymath.a
      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/reduction.c
      clang: numpy/core/src/multiarray/shape.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: numpy/core/src/umath/extobj.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-7fhh133o/numpy_3ed0f74ca7734246835817d261122681/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.739s
user	1m59.186s
sys	0m12.521s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-5e9wvwq0/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-n4uli2c0/numpy_9aa227944bb54a5c89ef058e7af188fa/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.174s
user	1m58.521s
sys	0m12.563s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-3lwkyqqd/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/reduction.c
      clang: numpy/core/src/multiarray/shape.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-k4v3exi1/numpy_b3dcc1a5888a45938cb0553dabf25614/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.798s
user	1m58.928s
sys	0m12.546s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-zpy82hn8/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-zqy3dnq7/numpy_916f9af880c44a81a5c2bc06bcd44e1c/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.794s
user	1m59.018s
sys	0m12.654s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-nngrqfxb/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: numpy/core/src/umath/extobj.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-0gv0mn0v/numpy_24425de4b9084c7f91729233c4676bfc/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      1 warning generated.
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.278s
user	1m58.615s
sys	0m12.629s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-90ju8r4m/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1p2cvmr6/numpy_343f6e63a0d443d0a665b10201bf250c/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.348s
user	1m58.759s
sys	0m12.482s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-qs5j5b12/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-m_wd8ngv/numpy_fa94ad2aa8f44cc4800ebeedc0db3a90/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.053s
user	1m58.713s
sys	0m12.600s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-pwda701r/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/sequence.c
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-s4gwem7i/numpy_cb4165b2f39e47a99cf05ca9f3119109/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m15.127s
user	1m59.569s
sys	0m12.618s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-ga1a65k0/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-w94hs3tp/numpy_0afddbc551e6414991f449ef245c9d6e/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m17.530s
user	2m1.374s
sys	0m13.023s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-_0x9b6ai/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/reduction.c
      clang: numpy/core/src/multiarray/shape.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/umath/extobj.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-f1hrwcnf/numpy_f50fc5d782f44d20ae047dcaee71acf7/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.140s
user	1m58.827s
sys	0m12.572s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-nie5u8xa/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-adwmgzcz/numpy_60c67a4bf0ca47c6a8bef0c656e4c003/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.328s
user	1m58.953s
sys	0m12.630s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-ial2coyf/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:1 warning generated.
      9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/umath/override.c
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: numpy/core/src/umath/extobj.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-1op3ad0_/numpy_99c889218fd443629f5f4803bce04765/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m29.206s
user	2m12.287s
sys	0m13.013s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-okb_vvtf/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/umath/extobj.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ctzzu8_n/numpy_273ed56e309e4aa78ba808c7e3e884de/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m31.693s
user	2m14.670s
sys	0m14.573s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-wyanyc7_/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-3z629kc5/numpy_73cf808f666442b38b720ec8e31afee4/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.025s
user	1m59.166s
sys	0m12.513s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-td1uhedw/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7clang: numpy/core/src/multiarray/nditer_pywrap.c
       errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-485qrp55/numpy_1808b0272773467e9e3e2bf1f48e437c/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.091s
user	1m59.187s
sys	0m12.497s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-71lnh8eq/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/sequence.c
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-5_wnlpy_/numpy_207fc342e8194121bd84a7eafb291b55/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.373s
user	1m58.916s
sys	0m12.602s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-xxjq52tr/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' warning generated.
      
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-rm3br1y0/numpy_c58c7e00443243e08129552b9f78f5d0/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.481s
user	1m58.989s
sys	0m12.682s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-6w9piu8t/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-qcqpc5la/numpy_ebfbb804864844e48cdcae07d3968185/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: numpy/core/src/umath/extobj.c
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m18.974s
user	2m3.121s
sys	0m12.674s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-4eu4ywac/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-b5e1ph8s/numpy_012d79891ceb4488bea73bb41333b990/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.220s
user	1m58.735s
sys	0m12.727s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-yht2dvpg/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-d01qemc9/numpy_a2aec9018f51466db155dc9c423a3c54/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.405s
user	1m58.792s
sys	0m12.745s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-v2ct4_ct/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      clang: numpy/core/src/multiarray/sequence.c
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ig1bvdee/numpy_b922328eee824fac934c18137d153d91/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: numpy/core/src/umath/extobj.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.391s
user	1m59.049s
sys	0m12.571s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-82qruoc8/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/core/src/common/mem_overlap.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-oae90hvh/numpy_b6ec2906482148b0b7f565c7ba21ed09/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.100s
user	1m58.668s
sys	0m12.676s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-hfau2o63/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: 1 warning generated.
      expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'clang: numpy/core/src/umath/override.c
      
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/npymath/npy_math.c
      clang: numpy/core/src/umath/ufunc_object.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: numpy/core/src/umath/extobj.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-9agtqqae/numpy_07df4f55c2274e89baef25b4ef6c6488/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      1 warning generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.160s
user	1m58.745s
sys	0m12.546s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: numpy
  Building wheel for numpy (pyproject.toml): started
  Building wheel for numpy (pyproject.toml): still running...
  Building wheel for numpy (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Building wheel for numpy (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [1537 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      numpy/random/_bounded_integers.pxd.in has not changed
      numpy/random/_philox.pyx has not changed
      numpy/random/_bounded_integers.pyx.in has not changed
      numpy/random/_sfc64.pyx has not changed
      numpy/random/_mt19937.pyx has not changed
      numpy/random/bit_generator.pyx has not changed
      Processing numpy/random/_bounded_integers.pyx
      numpy/random/mtrand.pyx has not changed
      numpy/random/_generator.pyx has not changed
      numpy/random/_pcg64.pyx has not changed
      numpy/random/_common.pyx has not changed
      Cythonizing sources
      blas_opt_info:
      blas_mkl_info:
      customize UnixCCompiler
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      blis_info:
        libraries blis not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries tatlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_blas_info:
        libraries satlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_threads_info:
      Setting PTATLAS=ATLAS
        libraries ptf77blas,ptcblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_blas_info:
        libraries f77blas,cblas,atlas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      accelerate_info:
        libraries accelerate not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library accelerate was not found. Ignoring
        libraries veclib not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
      Library veclib was not found. Ignoring
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      non-existing path in 'numpy/distutils': 'site.cfg'
      lapack_opt_info:
      lapack_mkl_info:
        libraries mkl_rt not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_lapack_info:
        libraries openblas not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      openblas_clapack_info:
        libraries openblas,lapack not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      flame_info:
        libraries flame not found in ['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib', '/usr/local/lib', '/usr/lib']
        NOT AVAILABLE
      
      atlas_3_10_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries tatlas,tatlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries tatlas,tatlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries tatlas,tatlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
        NOT AVAILABLE
      
      atlas_3_10_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries satlas,satlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries satlas,satlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries satlas,satlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_3_10_info'>
        NOT AVAILABLE
      
      atlas_threads_info:
      Setting PTATLAS=ATLAS
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries ptf77blas,ptcblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries ptf77blas,ptcblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_threads_info'>
        NOT AVAILABLE
      
      atlas_info:
        libraries lapack_atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries f77blas,cblas,atlas not found in /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib
        libraries lapack_atlas not found in /usr/local/lib
        libraries f77blas,cblas,atlas not found in /usr/local/lib
        libraries lapack_atlas not found in /usr/lib
        libraries f77blas,cblas,atlas not found in /usr/lib
      <class 'numpy.distutils.system_info.atlas_info'>
        NOT AVAILABLE
      
        FOUND:
          extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
          extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
          define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
      
      /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-cpalopho/overlay/lib/python3.11/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running config_cc
      unifing config_cc, config, build_clib, build_ext, build commands --compiler options
      running config_fc
      unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
      running build_src
      build_src
      building py_modules sources
      building library "npymath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
      building library "npysort" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      None - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_binsearch.h']
      building library "npyrandom" sources
      building extension "numpy.core._multiarray_tests" sources
      building extension "numpy.core._multiarray_umath" sources
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
        adding 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common' to include_dirs.
      numpy.core - nothing done with h_files = ['build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__ufunc_api.h']
      building extension "numpy.core._umath_tests" sources
      building extension "numpy.core._rational_tests" sources
      building extension "numpy.core._struct_ufunc_tests" sources
      building extension "numpy.core._operand_flag_tests" sources
      building extension "numpy.fft._pocketfft_internal" sources
      building extension "numpy.linalg.lapack_lite" sources
      building extension "numpy.linalg._umath_linalg" sources
      building extension "numpy.random._mt19937" sources
      building extension "numpy.random._philox" sources
      building extension "numpy.random._pcg64" sources
      building extension "numpy.random._sfc64" sources
      building extension "numpy.random._common" sources
      building extension "numpy.random.bit_generator" sources
      building extension "numpy.random._generator" sources
      building extension "numpy.random._bounded_integers" sources
      building extension "numpy.random.mtrand" sources
      building data_files sources
      build_src: building npy-pkg config files
      running build_py
      creating build/lib.macosx-11-x86_64-3.11
      creating build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/conftest.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/version.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_globals.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/dual.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_distributor_init.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying numpy/_pytesttester.py -> build/lib.macosx-11-x86_64-3.11/numpy
      copying build/src.macosx-11-x86_64-3.11/numpy/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/py3k.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      copying numpy/compat/_inspect.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat
      creating build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      copying numpy/compat/tests/test_compat.py -> build/lib.macosx-11-x86_64-3.11/numpy/compat/tests
      creating build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/fromnumeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_add_newdocs.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_internal.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_string_helpers.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/_asarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
      copying numpy/core/setup_common.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
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      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
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      building 'npysort' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/quicksort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/mergesort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/timsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/heapsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/radixsort.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npysort/binsearch.c
      22 warnings generated.
      xcrun: adding 7 object files to build/temp.macosx-11-x86_64-3.11/libnpysort.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/random
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src
      creating build/temp.macosx-11-x86_64-3.11/numpy/random/src/distributions
      compile options: '-Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: numpy/random/src/distributions/logfactorial.c
      clang: numpy/random/src/distributions/distributions.c
      clang: numpy/random/src/distributions/random_mvhg_count.c
      clang: numpy/random/src/distributions/random_mvhg_marginals.c
      clang: numpy/random/src/distributions/random_hypergeometric.c
      xcrun: adding 5 object files to build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      ranlib:@ build/temp.macosx-11-x86_64-3.11/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/common
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
      clang: numpy/core/src/common/mem_overlap.c
      clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-11-x86_64-3.11/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-11-x86_64-3.11 -lnpymath -o build/lib.macosx-11-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-darwin.so
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk
      
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/multiarray
      creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/umath
      creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/common
      creating build/temp.macosx-11-x86_64-3.11/private
      creating build/temp.macosx-11-x86_64-3.11/private/var
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708/numpy
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708/numpy/_build_utils
      creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c'
      extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
      clang: numpy/core/src/multiarray/alloc.c
      clang: numpy/core/src/multiarray/convert.c
      clang: numpy/core/src/multiarray/arrayfunction_override.c
      clang: numpy/core/src/multiarray/datetime_strings.c
      clang: numpy/core/src/multiarray/arrayobject.c
      clang: numpy/core/src/multiarray/buffer.c
      clang: numpy/core/src/multiarray/convert_datatype.c
      clang: numpy/core/src/multiarray/datetime_busday.c
      clang: numpy/core/src/multiarray/calculation.c
      clang: numpy/core/src/multiarray/conversion_utils.c
      clang: numpy/core/src/multiarray/datetime_busdaycal.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
      clang: numpy/core/src/multiarray/ctors.c
      clang: numpy/core/src/multiarray/descriptor.c
      clang: numpy/core/src/multiarray/compiled_base.c
      clang: numpy/core/src/multiarray/dragon4.c
      clang: numpy/core/src/multiarray/common.c
      clang: numpy/core/src/multiarray/datetime.c
      clang: numpy/core/src/multiarray/dtype_transfer.c
      clang: numpy/core/src/multiarray/item_selection.c
      clang: numpy/core/src/multiarray/multiarraymodule.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/einsum.c
      numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
      #pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                                     ^
      clang: numpy/core/src/multiarray/iterators.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
      clang: numpy/core/src/multiarray/nditer_api.c
      clang: numpy/core/src/multiarray/nditer_constr.c
      1 warning generated.
      clang: numpy/core/src/multiarray/flagsobject.c
      clang: numpy/core/src/multiarray/getset.c
      clang: numpy/core/src/multiarray/hashdescr.c
      clang: numpy/core/src/multiarray/number.c
      clang: numpy/core/src/multiarray/array_assign_scalar.c
      clang: numpy/core/src/multiarray/array_assign_array.c
      clang: numpy/core/src/multiarray/nditer_pywrap.c
      clang: numpy/core/src/multiarray/refcount.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
      numpy/core/src/multiarray/scalartypes.c.src:2968:65: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                 ~~~~~~~~~~~~~~                                       ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).real);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:48: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CFloat).imag);
                                                     ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2968:70: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                 ~~~~~~~~~~~~~~                                            ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2977:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).real);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2983:53: error: too few arguments to function call, expected 2, have 1
                  PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      numpy/core/src/multiarray/scalartypes.c.src:2998:75: error: too few arguments to function call, expected 2, have 1
          return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                 ~~~~~~~~~~~~~~                                                 ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyhash.h:10:23: note: '_Py_HashDouble' declared here
      PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                            ^
      7 errors generated.
      clang: numpy/core/src/multiarray/vdot.c
      clang: numpy/core/src/multiarray/sequence.c
      clang: numpy/core/src/multiarray/shape.c
      clang: numpy/core/src/umath/umathmodule.c
      clang: numpy/core/src/umath/reduction.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/clip.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/loops.c
      clang: numpy/core/src/multiarray/scalarapi.c
      numpy/core/src/multiarray/scalarapi.c:759:38: warning: 'ob_shash' is deprecated [-Wdeprecated-declarations]
                  ((PyStringObject *)obj)->ob_shash = -1;
                                           ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/cpython/bytesobject.h:7:5: note: 'ob_shash' has been explicitly marked deprecated here
          Py_DEPRECATED(3.11) Py_hash_t ob_shash;
          ^
      /usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11/pyport.h:336:54: note: expanded from macro 'Py_DEPRECATED'
      #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                           ^
      1 warning generated.
      clang: numpy/core/src/umath/override.c
      In file included from numpy/core/src/umath/loops.c.src:50:
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) &&
               ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
          ((abs(steps[0]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[1]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
              ^
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
           (abs(steps[2]) < MAX_STEP_SIZE)  && \
            ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
          if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
              ^
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead
      numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
          (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                                  ^
      clang: numpy/core/src/umath/ufunc_object.c
      clang: numpy/core/src/npymath/npy_math.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
      clang: numpy/core/src/npymath/halffloat.c
      clang: numpy/core/src/common/array_assign.c
      clang: numpy/core/src/common/mem_overlap.c
      clang: numpy/core/src/common/npy_longdouble.c
      clang: numpy/core/src/common/ucsnarrow.c
      clang: numpy/core/src/common/ufunc_override.c
      clang: numpy/core/src/common/numpyos.c
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/common/cblasfuncs.c
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code]
              npy_intp n = dimensions[0];
                           ^~~~~~~~~~
      numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead
          if (IS_BINARY_REDUCE && 0) {
                                  ^
                                  /* DISABLES CODE */ ( )
      clang: numpy/core/src/umath/extobj.c
      clang: numpy/core/src/common/python_xerbla.c
      clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708/numpy/_build_utils/src/apple_sgemv_fix.c
      In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-ku1pv942/numpy_29a2a2e439594d5ca2a4c1ba41eb0708/numpy/_build_utils/src/apple_sgemv_fix.c:26:
      In file included from numpy/core/include/numpy/arrayobject.h:4:
      In file included from numpy/core/include/numpy/ndarrayobject.h:21:
      build/src.macosx-11-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function]
      _import_array(void)
      ^
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/scalarmath.c
      1 warning generated.
      clang: numpy/core/src/umath/ufunc_type_resolution.c
      clang: numpy/core/src/multiarray/mapping.c
      clang: numpy/core/src/multiarray/methods.c
      60 warnings generated.
      clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/umath/matmul.c
      error: Command "clang -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX11.sdk -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/umath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/include -I/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/include/python3.11 -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/common -Ibuild/src.macosx-11-x86_64-3.11/numpy/core/src/npymath -c build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects

real	2m14.731s
user	1m59.226s
sys	0m12.468s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/pip install --upgrade numpy==1.19.5
Collecting numpy==1.19.5
  Using cached numpy-1.19.5.zip (7.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
Build was aborted
Aborted by galbramc
  Preparing metadata (pyproject.toml): finished with status 'error'
  error: subprocess-exited-with-error
  
  × Preparing metadata (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [48 lines of output]
      setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.11.
        warnings.warn(
      Running from numpy source directory.
      setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates
        run_build = parse_setuppy_commands()
      Processing numpy/random/_bounded_integers.pxd.in
      Processing numpy/random/_philox.pyx
      Processing numpy/random/_bounded_integers.pyx.in
      Traceback (most recent call last):
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 235, in <module>
          main()
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 231, in main
          find_process_files(root_dir)
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 222, in find_process_files
          process(root_dir, fromfile, tofile, function, hash_db)
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 188, in process
          processor_function(fromfile, tofile)
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 91, in process_tempita_pyx
          process_pyx(pyxfile, tofile)
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-imf256rc/numpy_4e9d14b20bf843f6ba80723248c3fd53/tools/cythonize.py", line 77, in process_pyx
          subprocess.check_call(
        File "/usr/local/Cellar/python@3.11/3.11.5/Frameworks/Python.framework/Versions/3.11/lib/python3.11/subprocess.py", line 413, in check_call
          raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/bin/python', '-m', 'cython', '-3', '--fast-fail', '-o', '_bounded_integers.c', '_bounded_integers.pyx']' died with <Signals.SIGTERM: 15>.
      Cythonizing sources
      Traceback (most recent call last):
        File "/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
          main()
        File "/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/venv_jenkins/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 149, in prepare_metadata_for_build_wheel
          return hook(metadata_directory, config_settings)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-f_h4sjcf/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 157, in prepare_metadata_for_build_wheel
          self.run_setup()
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-f_h4sjcf/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 249, in run_setup
          self).run_setup(setup_script=setup_script)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-build-env-f_h4sjcf/overlay/lib/python3.11/site-packages/setuptools/build_meta.py", line 142, in run_setup
          exec(compile(code, __file__, 'exec'), locals())
        File "setup.py", line 508, in <module>
          setup_package()
        File "setup.py", line 488, in setup_package
          generate_cython()
        File "setup.py", line 285, in generate_cython
          raise RuntimeError("Running cythonize failed!")
      RuntimeError: Running cythonize failed!
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
/Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.18/JenkinsGPkit/all_machines.sh: line 20: 60355 Terminated: 15          python $PIP install --upgrade $@

real	0m7.586s
user	0m5.255s
sys	0m1.415s
++ sleep 5
Recording test results
ERROR: Step ‘Publish JUnit test result report’ aborted due to exception: 
java.lang.InterruptedException
	at java.base/java.lang.Object.wait(Native Method)
	at hudson.remoting.Request.call(Request.java:177)
	at hudson.remoting.Channel.call(Channel.java:1002)
	at hudson.FilePath.act(FilePath.java:1192)
	at hudson.FilePath.act(FilePath.java:1181)
	at hudson.tasks.junit.JUnitParser.parseResult(JUnitParser.java:120)
	at hudson.tasks.junit.JUnitResultArchiver.parse(JUnitResultArchiver.java:160)
	at hudson.tasks.junit.JUnitResultArchiver.parseAndSummarize(JUnitResultArchiver.java:254)
	at hudson.tasks.junit.JUnitResultArchiver.perform(JUnitResultArchiver.java:177)
	at jenkins.tasks.SimpleBuildStep.perform(SimpleBuildStep.java:123)
	at hudson.tasks.BuildStepCompatibilityLayer.perform(BuildStepCompatibilityLayer.java:80)
	at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20)
	at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:818)
	at hudson.model.AbstractBuild$AbstractBuildExecution.performAllBuildSteps(AbstractBuild.java:767)
	at hudson.model.Build$BuildExecution.post2(Build.java:179)
	at hudson.model.AbstractBuild$AbstractBuildExecution.post(AbstractBuild.java:711)
	at hudson.model.Run.execute(Run.java:1918)
	at hudson.matrix.MatrixRun.run(MatrixRun.java:153)
	at hudson.model.ResourceController.execute(ResourceController.java:101)
	at hudson.model.Executor.run(Executor.java:442)
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: ABORTED