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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 #11

Open chricro opened 3 months ago

chricro commented 3 months ago

I try to follow the installation suggested in the README file, but get the following error when running pip install -r requirements.txt:

Installing build dependencies ... error
  error: subprocess-exited-with-error

  × pip subprocess to install build dependencies did not run successfully.
  │ exit code: 1
  ╰─> [950 lines of output]
      Ignoring numpy: markers 'python_version < "3.9"' don't match your environment
      Collecting cython>=0.29
        Using cached Cython-3.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB)
      Collecting numpy==1.19.4
        Using cached numpy-1.19.4.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'
      Collecting setuptools
        Using cached setuptools-70.0.0-py3-none-any.whl.metadata (5.9 kB)
      Collecting setuptools_scm
        Using cached setuptools_scm-8.1.0-py3-none-any.whl.metadata (6.6 kB)
      Collecting wheel
        Using cached wheel-0.43.0-py3-none-any.whl.metadata (2.2 kB)
      Collecting packaging>=20 (from setuptools_scm)
        Using cached packaging-24.1-py3-none-any.whl.metadata (3.2 kB)
      Using cached Cython-3.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
      Using cached setuptools-70.0.0-py3-none-any.whl (863 kB)
      Using cached setuptools_scm-8.1.0-py3-none-any.whl (43 kB)
      Using cached wheel-0.43.0-py3-none-any.whl (65 kB)
      Using cached packaging-24.1-py3-none-any.whl (53 kB)
      Building wheels for collected packages: numpy
        Building wheel for numpy (pyproject.toml): started
        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
        ╰─> [912 lines of output]
            setup.py:67: RuntimeWarning: NumPy 1.19.4 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/_common.pyx has not changed
            numpy/random/_bounded_integers.pyx.in has not changed
            Processing numpy/random/_bounded_integers.pyx
            numpy/random/_pcg64.pyx has not changed
            numpy/random/bit_generator.pyx has not changed
            numpy/random/_generator.pyx has not changed
            numpy/random/_sfc64.pyx has not changed
            numpy/random/_philox.pyx has not changed
            numpy/random/mtrand.pyx has not changed
            numpy/random/_mt19937.pyx has not changed
            Cythonizing sources
            blas_opt_info:
            blas_mkl_info:
            customize UnixCCompiler
              libraries mkl_rt not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            blis_info:
              libraries blis not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            openblas_info:
              libraries openblas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            atlas_3_10_blas_threads_info:
            Setting PTATLAS=ATLAS
              libraries tatlas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            atlas_3_10_blas_info:
              libraries satlas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            atlas_blas_threads_info:
            Setting PTATLAS=ATLAS
              libraries ptf77blas,ptcblas,atlas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            atlas_blas_info:
              libraries f77blas,cblas,atlas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            accelerate_info:
              NOT AVAILABLE

            /tmp/pip-install-ul6a4h44/numpy_74a49f23cd684fb9bb4261b82c0ecb1a/numpy/distutils/system_info.py:1914: UserWarning:
                Optimized (vendor) Blas libraries are not found.
                Falls back to netlib Blas library which has worse performance.
                A better performance should be easily gained by switching
                Blas library.
              if self._calc_info(blas):
            blas_info:
            C compiler: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating /tmp/tmprmst0930/tmp
            creating /tmp/tmprmst0930/tmp/tmprmst0930
            compile options: '-I/usr/local/include -I/usr/include -I/home/paperspace/Dragonfly/venv/include -c'
            x86_64-linux-gnu-gcc: /tmp/tmprmst0930/source.c
            x86_64-linux-gnu-gcc /tmp/tmprmst0930/tmp/tmprmst0930/source.o -L/usr/lib/x86_64-linux-gnu -lblas -o /tmp/tmprmst0930/a.out
              FOUND:
                libraries = ['blas', 'blas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                include_dirs = ['/usr/local/include', '/usr/include', '/home/paperspace/Dragonfly/venv/include']
                language = c
                define_macros = [('HAVE_CBLAS', None)]

              FOUND:
                define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
                libraries = ['blas', 'blas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                include_dirs = ['/usr/local/include', '/usr/include', '/home/paperspace/Dragonfly/venv/include']
                language = c

            non-existing path in 'numpy/distutils': 'site.cfg'
            lapack_opt_info:
            lapack_mkl_info:
              libraries mkl_rt not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            openblas_lapack_info:
              libraries openblas not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            openblas_clapack_info:
              libraries openblas,lapack not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            flame_info:
              libraries flame not found in ['/home/paperspace/Dragonfly/venv/lib', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            atlas_3_10_threads_info:
            Setting PTATLAS=ATLAS
              libraries lapack_atlas not found in /home/paperspace/Dragonfly/venv/lib
              libraries tatlas,tatlas not found in /home/paperspace/Dragonfly/venv/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/lib64
              libraries tatlas,tatlas not found in /usr/lib64
              libraries lapack_atlas not found in /usr/lib
              libraries tatlas,tatlas not found in /usr/lib
              libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
              libraries tatlas,tatlas not found in /usr/lib/x86_64-linux-gnu
            <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
              NOT AVAILABLE

            atlas_3_10_info:
              libraries lapack_atlas not found in /home/paperspace/Dragonfly/venv/lib
              libraries satlas,satlas not found in /home/paperspace/Dragonfly/venv/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/lib64
              libraries satlas,satlas not found in /usr/lib64
              libraries lapack_atlas not found in /usr/lib
              libraries satlas,satlas not found in /usr/lib
              libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
              libraries satlas,satlas not found in /usr/lib/x86_64-linux-gnu
            <class 'numpy.distutils.system_info.atlas_3_10_info'>
              NOT AVAILABLE

            atlas_threads_info:
            Setting PTATLAS=ATLAS
              libraries lapack_atlas not found in /home/paperspace/Dragonfly/venv/lib
              libraries ptf77blas,ptcblas,atlas not found in /home/paperspace/Dragonfly/venv/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/lib64
              libraries ptf77blas,ptcblas,atlas not found in /usr/lib64
              libraries lapack_atlas not found in /usr/lib
              libraries ptf77blas,ptcblas,atlas not found in /usr/lib
              libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
              libraries ptf77blas,ptcblas,atlas not found in /usr/lib/x86_64-linux-gnu
            <class 'numpy.distutils.system_info.atlas_threads_info'>
              NOT AVAILABLE

            atlas_info:
              libraries lapack_atlas not found in /home/paperspace/Dragonfly/venv/lib
              libraries f77blas,cblas,atlas not found in /home/paperspace/Dragonfly/venv/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/lib64
              libraries f77blas,cblas,atlas not found in /usr/lib64
              libraries lapack_atlas not found in /usr/lib
              libraries f77blas,cblas,atlas not found in /usr/lib
              libraries lapack_atlas not found in /usr/lib/x86_64-linux-gnu
              libraries f77blas,cblas,atlas not found in /usr/lib/x86_64-linux-gnu
            <class 'numpy.distutils.system_info.atlas_info'>
              NOT AVAILABLE

            lapack_info:
              FOUND:
                libraries = ['lapack', 'lapack']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = f77

              FOUND:
                libraries = ['lapack', 'lapack', 'blas', 'blas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = c
                define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
                include_dirs = ['/usr/local/include', '/usr/include', '/home/paperspace/Dragonfly/venv/include']

            /tmp/pip-build-env-9aduoj6_/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.linux-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
            None - nothing done with h_files = ['build/src.linux-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h']
            building library "npysort" sources
              adding 'build/src.linux-x86_64-3.11/numpy/core/src/common' to include_dirs.
            None - nothing done with h_files = ['build/src.linux-x86_64-3.11/numpy/core/src/common/npy_sort.h', 'build/src.linux-x86_64-3.11/numpy/core/src/common/npy_partition.h', 'build/src.linux-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.linux-x86_64-3.11/numpy/core/src/umath' to include_dirs.
              adding 'build/src.linux-x86_64-3.11/numpy/core/src/npymath' to include_dirs.
              adding 'build/src.linux-x86_64-3.11/numpy/core/src/common' to include_dirs.
            numpy.core - nothing done with h_files = ['build/src.linux-x86_64-3.11/numpy/core/src/umath/funcs.inc', 'build/src.linux-x86_64-3.11/numpy/core/src/umath/simd.inc', 'build/src.linux-x86_64-3.11/numpy/core/src/umath/loops.h', 'build/src.linux-x86_64-3.11/numpy/core/src/umath/matmul.h', 'build/src.linux-x86_64-3.11/numpy/core/src/umath/clip.h', 'build/src.linux-x86_64-3.11/numpy/core/src/npymath/npy_math_internal.h', 'build/src.linux-x86_64-3.11/numpy/core/src/common/templ_common.h', 'build/src.linux-x86_64-3.11/numpy/core/include/numpy/config.h', 'build/src.linux-x86_64-3.11/numpy/core/include/numpy/_numpyconfig.h', 'build/src.linux-x86_64-3.11/numpy/core/include/numpy/__multiarray_api.h', 'build/src.linux-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.linux-x86_64-3.11
            creating build/lib.linux-x86_64-3.11/numpy
            copying numpy/dual.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/matlib.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/_globals.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/_pytesttester.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/ctypeslib.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/_distributor_init.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/__init__.py -> build/lib.linux-x86_64-3.11/numpy
            copying numpy/setup.py -> build/lib.linux-x86_64-3.11/numpy
            (...)
            copying numpy/tests/test_public_api.py -> build/lib.linux-x86_64-3.11/numpy/tests
            copying numpy/tests/test_warnings.py -> build/lib.linux-x86_64-3.11/numpy/tests
            copying numpy/tests/test_matlib.py -> build/lib.linux-x86_64-3.11/numpy/tests
            copying numpy/tests/__init__.py -> build/lib.linux-x86_64-3.11/numpy/tests
            copying numpy/tests/test_numpy_version.py -> build/lib.linux-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: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating build/temp.linux-x86_64-3.11
            creating build/temp.linux-x86_64-3.11/numpy
            creating build/temp.linux-x86_64-3.11/numpy/core
            creating build/temp.linux-x86_64-3.11/numpy/core/src
            creating build/temp.linux-x86_64-3.11/numpy/core/src/npymath
            creating build/temp.linux-x86_64-3.11/build
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/npymath
            compile options: '-Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c'
            extra options: '-std=c99'
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npymath/ieee754.c
            x86_64-linux-gnu-gcc: numpy/core/src/npymath/npy_math.c
            x86_64-linux-gnu-gcc: numpy/core/src/npymath/halffloat.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
            x86_64-linux-gnu-gcc-ar: adding 4 object files to build/temp.linux-x86_64-3.11/libnpymath.a
            building 'npysort' library
            compiling C sources
            C compiler: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/npysort
            compile options: '-Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c'
            extra options: '-std=c99'
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/mergesort.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/timsort.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/heapsort.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/quicksort.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/selection.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/radixsort.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npysort/binsearch.c
            x86_64-linux-gnu-gcc-ar: adding 7 object files to build/temp.linux-x86_64-3.11/libnpysort.a
            building 'npyrandom' library
            compiling C sources
            C compiler: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating build/temp.linux-x86_64-3.11/numpy/random
            creating build/temp.linux-x86_64-3.11/numpy/random/src
            creating build/temp.linux-x86_64-3.11/numpy/random/src/distributions
            compile options: '-Inumpy/core/include -Ibuild/src.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c'
            extra options: '-std=c99'
            x86_64-linux-gnu-gcc: numpy/random/src/distributions/random_hypergeometric.c
            x86_64-linux-gnu-gcc: numpy/random/src/distributions/random_mvhg_count.c
            x86_64-linux-gnu-gcc: numpy/random/src/distributions/random_mvhg_marginals.c
            x86_64-linux-gnu-gcc: numpy/random/src/distributions/distributions.c
            x86_64-linux-gnu-gcc: numpy/random/src/distributions/logfactorial.c
            x86_64-linux-gnu-gcc-ar: adding 5 object files to build/temp.linux-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: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/multiarray
            creating build/temp.linux-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.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c'
            extra options: '-std=c99'
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/mem_overlap.c
            x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/multiarray/_multiarray_tests.o build/temp.linux-x86_64-3.11/numpy/core/src/common/mem_overlap.o -L/usr/lib/x86_64-linux-gnu -Lbuild/temp.linux-x86_64-3.11 -lnpymath -o build/lib.linux-x86_64-3.11/numpy/core/_multiarray_tests.cpython-311-x86_64-linux-gnu.so
            building 'numpy.core._multiarray_umath' extension
            compiling C sources
            C compiler: x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

            creating build/temp.linux-x86_64-3.11/numpy/core/src/multiarray
            creating build/temp.linux-x86_64-3.11/numpy/core/src/umath
            creating build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/umath
            creating build/temp.linux-x86_64-3.11/build/src.linux-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 -DNO_ATLAS_INFO=1 -DHAVE_CBLAS -I/usr/local/include -I/usr/include -I/home/paperspace/Dragonfly/venv/include -Ibuild/src.linux-x86_64-3.11/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c'
            extra options: '-std=c99'
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/alloc.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/array_assign_scalar.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/buffer.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/common.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/conversion_utils.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/datetime_strings.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/descriptor.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/einsum.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/arrayobject.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/array_assign_array.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/ctors.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/convert.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/calculation.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/datetime_busday.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/arrayfunction_override.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/convert_datatype.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/hashdescr.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/item_selection.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/datetime_busdaycal.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/compiled_base.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/arraytypes.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/dragon4.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/lowlevel_strided_loops.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/multiarraymodule.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/datetime.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/dtype_transfer.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/nditer_constr.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/iterators.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/refcount.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/sequence.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/nditer_pywrap.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/scalarapi.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/shape.c
            numpy/core/src/multiarray/scalarapi.c: In function ‘PyArray_Scalar’:
            numpy/core/src/multiarray/scalarapi.c:759:13: warning: ‘ob_shash’ is deprecated [-Wdeprecated-declarations]
              759 |             ((PyStringObject *)obj)->ob_shash = -1;
                  |             ^
            In file included from /usr/include/python3.11/bytesobject.h:62,
                             from /usr/include/python3.11/Python.h:50,
                             from numpy/core/src/multiarray/scalarapi.c:2:
            /usr/include/python3.11/cpython/bytesobject.h:7:35: note: declared here
                7 |     Py_DEPRECATED(3.11) Py_hash_t ob_shash;
                  |                                   ^~~~~~~~
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/temp_elide.c
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’
             2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                  |            ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘cfloat_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2975 |     hashreal = _Py_HashDouble((double)
                  |                               ^~~~~~~~
                  |                               |
                  |                               double
             2976 |             PyArrayScalar_VAL(obj, C@name@).real);
                  |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’
             2975 |     hashreal = _Py_HashDouble((double)
                  |                ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2981 |     hashimag = _Py_HashDouble((double)
                  |                               ^~~~~~~~
                  |                               |
                  |                               double
             2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
                  |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’
             2981 |     hashimag = _Py_HashDouble((double)
                  |                ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’
             2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                  |            ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘clongdouble_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2975 |     hashreal = _Py_HashDouble((double)
                  |                               ^~~~~~~~
                  |                               |
                  |                               double
             2976 |             PyArrayScalar_VAL(obj, C@name@).real);
                  |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’
             2975 |     hashreal = _Py_HashDouble((double)
                  |                ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2981 |     hashimag = _Py_HashDouble((double)
                  |                               ^~~~~~~~
                  |                               |
                  |                               double
             2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
                  |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’
             2981 |     hashimag = _Py_HashDouble((double)
                  |                ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2997:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
             2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                  |                           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
                  |                           |
                  |                           double
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                                      ^~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src:2997:12: error: too few arguments to function ‘_Py_HashDouble’
             2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                  |            ^~~~~~~~~~~~~~
            In file included from /usr/include/python3.11/Python.h:47,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /usr/include/python3.11/pyhash.h:10:23: note: declared here
               10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                  |                       ^~~~~~~~~~~~~~
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
             2968 | }
                  | ^
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
             2968 | }
                  | ^
            numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’:
            numpy/core/src/multiarray/scalartypes.c.src:2998:1: warning: control reaches end of non-void function [-Wreturn-type]
             2998 | }
                  | ^
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/vdot.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/typeinfo.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/umath/loops.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/usertypes.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/umathmodule.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/number.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/ufunc_object.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/reduction.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/multiarray/nditer_templ.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/ufunc_type_resolution.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/flagsobject.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npymath/ieee754.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/npymath/npy_math_complex.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/getset.c
            x86_64-linux-gnu-gcc: numpy/core/src/npymath/halffloat.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/override.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/nditer_api.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/array_assign.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/ucsnarrow.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/mem_overlap.c
            x86_64-linux-gnu-gcc: numpy/core/src/npymath/npy_math.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/ufunc_override.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/numpyos.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/common/npy_cpu_features.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/npy_longdouble.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/cblasfuncs.c
            x86_64-linux-gnu-gcc: numpy/core/src/umath/extobj.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/umath/scalarmath.c
            x86_64-linux-gnu-gcc: numpy/core/src/common/python_xerbla.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/mapping.c
            x86_64-linux-gnu-gcc: numpy/core/src/multiarray/methods.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/umath/matmul.c
            x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.11/numpy/core/src/umath/clip.c
            error: Command "x86_64-linux-gnu-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -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=1 -DHAVE_CBLAS -I/usr/local/include -I/usr/include -I/home/paperspace/Dragonfly/venv/include -Ibuild/src.linux-x86_64-3.11/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/home/paperspace/Dragonfly/venv/include -I/usr/include/python3.11 -Ibuild/src.linux-x86_64-3.11/numpy/core/src/common -Ibuild/src.linux-x86_64-3.11/numpy/core/src/npymath -c build/src.linux-x86_64-3.11/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-3.11/build/src.linux-x86_64-3.11/numpy/core/src/multiarray/scalartypes.o.d -std=c99" 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
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

Is there a specific version of Python required? I'm not very familiar with package dependencies. I didn't use the conda command for creating the environment but python3 -m venv venv.

AwayFromKeyboardwarrior commented 3 months ago

same error occurred to me.

rthapa84 commented 2 months ago

Hey, apologies of delayed response. Could you please specify your system specifications. What cuda version are you using, your OS, and python version.