(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
^
numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
(steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
^
numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:129:29: 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: numpy/core/src/umath/extobj.c
clang: /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-_6cpw3yu/numpy_a1494e3389b14456bda23ac89edda6cf/numpy/_build_utils/src/apple_sgemv_fix.c
In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-_6cpw3yu/numpy_a1494e3389b14456bda23ac89edda6cf/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/0.20.1/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 2m14.304s
user 1m58.895s
sys 0m12.527s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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/0.20.1/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-n0ntu04e/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
copying numpy/core/memmap.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/overrides.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/getlimits.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/_dtype_ctypes.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/defchararray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/shape_base.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/machar.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/numeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/function_base.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/einsumfunc.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/umath_tests.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/_ufunc_config.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/_exceptions.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/numerictypes.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/_type_aliases.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/cversions.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/arrayprint.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.macosx-11-x86_64-3.11/numpy/core
creating build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_numerictypes.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalar_methods.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalarmath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_item_selection.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_machar.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_unicode.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_arrayprint.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalarbuffer.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_indexerrors.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_print.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_half.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_mem_overlap.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_shape_base.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_deprecations.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_errstate.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_records.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalarinherit.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_indexing.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_umath.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_numeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_function_base.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_datetime.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test__exceptions.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_extint128.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_umath_complex.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/_locales.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_defchararray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_conversion_utils.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalarprint.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_abc.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_ufunc.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_dtype.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_umath_accuracy.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_getlimits.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_einsum.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_api.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_longdouble.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_overrides.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_scalar_ctors.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_memmap.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_nditer.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_cpu_features.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_protocols.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
copying numpy/core/tests/test_regression.py -> build/lib.macosx-11-x86_64-3.11/numpy/core/tests
creating build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/unixccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/numpy_distribution.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/conv_template.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/cpuinfo.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/ccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/msvc9compiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/npy_pkg_config.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/misc_util.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/log.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/line_endings.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/lib2def.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/pathccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/system_info.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/core.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/exec_command.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/from_template.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/mingw32ccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/extension.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/msvccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/intelccompiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying numpy/distutils/_shell_utils.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
copying build/src.macosx-11-x86_64-3.11/numpy/distutils/__config__.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils
creating build/lib.macosx-11-x86_64-3.11/numpy/distutils/command
copying numpy/distutils/command/build.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils/command
copying numpy/distutils/command/config_compiler.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils/command
copying numpy/distutils/command/build_ext.py -> build/lib.macosx-11-x86_64-3.11/numpy/distutils/command
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copying numpy/matrixlib/tests/test_matrix_linalg.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_defmatrix.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_interaction.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_numeric.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_masked_matrix.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_multiarray.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_regression.py -> build/lib.macosx-11-x86_64-3.11/numpy/matrixlib/tests
creating build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/laguerre.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/_polybase.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/polyutils.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/hermite_e.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/chebyshev.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/polynomial.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/legendre.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
copying numpy/polynomial/hermite.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial
creating build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_chebyshev.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite_e.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polynomial.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_laguerre.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_legendre.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_printing.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_classes.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polyutils.py -> build/lib.macosx-11-x86_64-3.11/numpy/polynomial/tests
creating build/lib.macosx-11-x86_64-3.11/numpy/random
copying numpy/random/_pickle.py -> build/lib.macosx-11-x86_64-3.11/numpy/random
copying numpy/random/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/random
copying numpy/random/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/random
creating build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_randomstate.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_direct.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_extending.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_smoke.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_randomstate_regression.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_seed_sequence.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937_regressions.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_random.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
copying numpy/random/tests/test_regression.py -> build/lib.macosx-11-x86_64-3.11/numpy/random/tests
creating build/lib.macosx-11-x86_64-3.11/numpy/testing
copying numpy/testing/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing
copying numpy/testing/setup.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing
copying numpy/testing/utils.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing
copying numpy/testing/print_coercion_tables.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing
creating build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/nosetester.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/noseclasses.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/utils.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/parameterized.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
copying numpy/testing/_private/decorators.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/_private
creating build/lib.macosx-11-x86_64-3.11/numpy/testing/tests
copying numpy/testing/tests/test_utils.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/tests
copying numpy/testing/tests/test_decorators.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/tests
copying numpy/testing/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/tests
copying numpy/testing/tests/test_doctesting.py -> build/lib.macosx-11-x86_64-3.11/numpy/testing/tests
creating build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_warnings.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_matlib.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_ctypeslib.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_numpy_version.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/__init__.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_reloading.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_public_api.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
copying numpy/tests/test_scripts.py -> build/lib.macosx-11-x86_64-3.11/numpy/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using new_build_clib
building 'npymath' 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
creating build/temp.macosx-11-x86_64-3.11/numpy
creating build/temp.macosx-11-x86_64-3.11/numpy/core
creating build/temp.macosx-11-x86_64-3.11/numpy/core/src
creating build/temp.macosx-11-x86_64-3.11/numpy/core/src/npymath
creating build/temp.macosx-11-x86_64-3.11/build
creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11
creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy
creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core
creating build/temp.macosx-11-x86_64-3.11/build/src.macosx-11-x86_64-3.11/numpy/core/src
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/0.20.1/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/npymath/npy_math_complex.c
clang: build/src.macosx-11-x86_64-3.11/numpy/core/src/npymath/ieee754.c
clang: numpy/core/src/npymath/npy_math.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/0.20.1/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/0.20.1/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/logfactorial.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/0.20.1/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-mgj8icy_
creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3
creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3/numpy
creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3/numpy/_build_utils
creating build/temp.macosx-11-x86_64-3.11/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3/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/0.20.1/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
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);
^
clang: numpy/core/src/multiarray/nditer_pywrap.c
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-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3/numpy/_build_utils/src/apple_sgemv_fix.c
In file included from /private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-mgj8icy_/numpy_005bf8174f38492c855bd101a75266c3/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/0.20.1/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 2m14.885s
user 1m59.191s
sys 0m12.542s
++ sleep 5
++ python /Users/jenkins/workspace/CE_gpkit_Push_dependency_tests/buildnode/macys_VM/numpyversion/1.19.5/pintversion/0.20.1/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
Processing numpy/random/_sfc64.pyx
Processing numpy/random/_mt19937.pyx
Traceback (most recent call last):
File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-aqti6rn8/numpy_e28d6e031f1e4ba4a74404f58e6d0e75/tools/cythonize.py", line 235, in <module>
main()
File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-aqti6rn8/numpy_e28d6e031f1e4ba4a74404f58e6d0e75/tools/cythonize.py", line 231, in main
find_process_files(root_dir)
File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-aqti6rn8/numpy_e28d6e031f1e4ba4a74404f58e6d0e75/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-aqti6rn8/numpy_e28d6e031f1e4ba4a74404f58e6d0e75/tools/cythonize.py", line 188, in process
processor_function(fromfile, tofile)
File "/private/var/folders/qk/9zkf0syn149fvhw9mh7hgd5w0000gp/T/pip-install-aqti6rn8/numpy_e28d6e031f1e4ba4a74404f58e6d0e75/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/0.20.1/venv_jenkins/bin/python', '-m', 'cython', '-3', '--fast-fail', '-o', '_mt19937.c', '_mt19937.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/0.20.1/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/0.20.1/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/0.20.1/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-x6g8fo5t/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-x6g8fo5t/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-x6g8fo5t/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/0.20.1/JenkinsGPkit/all_machines.sh: line 20: 60357 Terminated: 15 python $PIP install --upgrade $@
real 0m9.508s
user 0m6.477s
sys 0m1.599s
++ 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
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