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YaleDHLab / pix-plot

A WebGL viewer for UMAP or TSNE-clustered images
MIT License
593 stars 139 forks source link

Could not build wheels for scipy, #279

Closed Jalilnkh closed 11 months ago

Jalilnkh commented 11 months ago 
 Hi I have Ubuntu 22 and I tried to install your code but unfortunately I could not. I got the following error.

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for scipy Successfully built pixplot Failed to build scipy ERROR: Could not build wheels for scipy, which is required to install pyproject.toml-based projects

Any idea how can I handle it?

segalinc commented 7 months ago

how did you solve? I have a similar error

duhaime commented 7 months ago

@segalinc if you can paste the full stacktrace you get when you try to install the dependencies that would be helpful to see!

segalinc commented 7 months ago 

pip install pixplot
Looking in indexes: https://pypi.XXXX.net/simple
Collecting pixplot
  Using cached https://pypi.XXXX.net/packages/9527945538/pixplot-0.0.112.tar.gz (4.3 MB)
  Preparing metadata (setup.py) ... done
Collecting cmake>=3.15.3 (from pixplot)
  Using cached https://pypi.XXXX.net/packages/8301837443/cmake-3.28.3-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (26.3 MB)
Requirement already satisfied: Cython>=0.29.21 in /root/miniforge3/envs/animedm/lib/python3.10/site-packages (from pixplot) (0.29.37)
Requirement already satisfied: glob2>=0.6 in /root/miniforge3/envs/animedm/lib/python3.10/site-packages (from pixplot) (0.7)
Collecting h5py==3.1.0 (from pixplot)
  Using cached https://pypi.XXXX.net/packages/68862835/h5py-3.1.0.tar.gz (371 kB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... error
  error: subprocess-exited-with-error

  × pip subprocess to install backend dependencies did not run successfully.
  │ exit code: 1
  ╰─> [812 lines of output]
      Looking in indexes: https://pypi.XXXX.net/simple
      Collecting numpy==1.19.3
        Using cached https://pypi.XXXX.net/packages/892303/numpy-1.19.3.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 pkgconfig
        Using cached https://pypi.XXXX.net/packages/233475789/pkgconfig-1.5.5-py3-none-any.whl (6.7 kB)
      Collecting Cython>=0.29.14
        Using cached https://pypi.XXXX.net/packages/5514939602/Cython-3.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
      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
        ╰─> [785 lines of output]
            setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10.
              warnings.warn(
            Running from numpy source directory.
            numpy/random/_bounded_integers.pxd.in has not changed
            numpy/random/_mt19937.pyx has not changed
            numpy/random/_generator.pyx has not changed
            numpy/random/_philox.pyx has not changed
            numpy/random/_bounded_integers.pyx.in has not changed
            numpy/random/_common.pyx has not changed
            numpy/random/_sfc64.pyx has not changed
            numpy/random/bit_generator.pyx has not changed
            numpy/random/_pcg64.pyx has not changed
            numpy/random/mtrand.pyx has not changed
            Processing numpy/random/_bounded_integers.pyx
            Cythonizing sources
            blas_opt_info:
            blas_mkl_info:
            customize UnixCCompiler
              libraries mkl_rt not found in ['/root/miniforge3/envs/animedm/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            blis_info:
              libraries blis not found in ['/root/miniforge3/envs/animedm/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            openblas_info:
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating /tmp/tmpdwx_pe82/tmp
            creating /tmp/tmpdwx_pe82/tmp/tmpdwx_pe82
            compile options: '-c'
            gcc: /tmp/tmpdwx_pe82/source.c
            gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat /tmp/tmpdwx_pe82/tmp/tmpdwx_pe82/source.o -L/usr/lib/x86_64-linux-gnu -lopenblas -o /tmp/tmpdwx_pe82/a.out
              FOUND:
                libraries = ['openblas', 'openblas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = c
                define_macros = [('HAVE_CBLAS', None)]

              FOUND:
                libraries = ['openblas', 'openblas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = c
                define_macros = [('HAVE_CBLAS', None)]

            non-existing path in 'numpy/distutils': 'site.cfg'
            lapack_opt_info:
            lapack_mkl_info:
              libraries mkl_rt not found in ['/root/miniforge3/envs/animedm/lib', '/usr/local/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu']
              NOT AVAILABLE

            openblas_lapack_info:
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating /tmp/tmp6rvfkgzj/tmp
            creating /tmp/tmp6rvfkgzj/tmp/tmp6rvfkgzj
            compile options: '-c'
            gcc: /tmp/tmp6rvfkgzj/source.c
            gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat /tmp/tmp6rvfkgzj/tmp/tmp6rvfkgzj/source.o -L/usr/lib/x86_64-linux-gnu -lopenblas -o /tmp/tmp6rvfkgzj/a.out
              FOUND:
                libraries = ['openblas', 'openblas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = c
                define_macros = [('HAVE_CBLAS', None)]

              FOUND:
                libraries = ['openblas', 'openblas']
                library_dirs = ['/usr/lib/x86_64-linux-gnu']
                language = c
                define_macros = [('HAVE_CBLAS', None)]

            /data/tmp/pip-build-env-zrapuenj/overlay/lib/python3.10/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_64-3.10/numpy/core/src/npymath' to include_dirs.
            None - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h']
            building library "npysort" sources
              adding 'build/src.linux-x86_64-3.10/numpy/core/src/common' to include_dirs.
            None - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/common/npy_sort.h', 'build/src.linux-x86_64-3.10/numpy/core/src/common/npy_partition.h', 'build/src.linux-x86_64-3.10/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_64-3.10/numpy/core/src/umath' to include_dirs.
              adding 'build/src.linux-x86_64-3.10/numpy/core/src/npymath' to include_dirs.
              adding 'build/src.linux-x86_64-3.10/numpy/core/src/common' to include_dirs.
            numpy.core - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/umath/funcs.inc', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/simd.inc', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.h', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.h', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.h', 'build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h', 'build/src.linux-x86_64-3.10/numpy/core/src/common/templ_common.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/config.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/_numpyconfig.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/__multiarray_api.h', 'build/src.linux-x86_64-3.10/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_64-3.10
            creating build/lib.linux-x86_64-3.10/numpy
            copying numpy/setup.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/__init__.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/dual.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/_globals.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/_distributor_init.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/conftest.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/matlib.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/version.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/_pytesttester.py -> build/lib.linux-x86_64-3.10/numpy
            copying numpy/ctypeslib.py -> build/lib.linux-x86_64-3.10/numpy
            copying build/src.linux-x86_64-3.10/numpy/__config__.py -> build/lib.linux-x86_64-3.10/numpy
            creating build/lib.linux-x86_64-3.10/numpy/compat
            copying numpy/compat/setup.py -> build/lib.linux-x86_64-3.10/numpy/compat
            copying numpy/compat/__init__.py -> build/lib.linux-x86_64-3.10/numpy/compat
            copying numpy/compat/_inspect.py -> build/lib.linux-x86_64-3.10/numpy/compat
            copying numpy/compat/py3k.py -> build/lib.linux-x86_64-3.10/numpy/compat
            creating build/lib.linux-x86_64-3.10/numpy/compat/tests
            copying numpy/compat/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/compat/tests
            copying numpy/compat/tests/test_compat.py -> build/lib.linux-x86_64-3.10/numpy/compat/tests
            creating build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_internal.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/fromnumeric.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_string_helpers.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/getlimits.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_add_newdocs.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/defchararray.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_type_aliases.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/einsumfunc.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/setup.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_asarray.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/__init__.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/records.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/memmap.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/function_base.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/multiarray.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/arrayprint.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/overrides.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/numeric.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_dtype_ctypes.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_dtype.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/cversions.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/umath.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/numerictypes.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/shape_base.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_exceptions.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/umath_tests.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_ufunc_config.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/setup_common.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/machar.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/_methods.py -> build/lib.linux-x86_64-3.10/numpy/core
            copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.linux-x86_64-3.10/numpy/core
            creating build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_half.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_extint128.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_umath_accuracy.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_protocols.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_function_base.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_ufunc.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test__exceptions.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_nditer.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_umath_complex.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_memmap.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_item_selection.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_shape_base.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_mem_overlap.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_records.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_numerictypes.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_defchararray.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalar_methods.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalarinherit.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_dtype.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_arrayprint.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_datetime.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalarbuffer.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_longdouble.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_numeric.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_einsum.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_abc.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_indexing.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/_locales.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalarmath.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_api.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_overrides.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_multiarray.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_unicode.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalarprint.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_conversion_utils.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_deprecations.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_cpu_features.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_print.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_scalar_ctors.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_getlimits.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_machar.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_errstate.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_indexerrors.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            copying numpy/core/tests/test_umath.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
            creating build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/exec_command.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/core.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/npy_pkg_config.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/mingw32ccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/setup.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/__init__.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/conv_template.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/unixccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/from_template.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/numpy_distribution.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/misc_util.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/msvc9compiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/pathccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/ccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/system_info.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/lib2def.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/intelccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/cpuinfo.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/_shell_utils.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/msvccompiler.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/log.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/line_endings.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying numpy/distutils/extension.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            copying build/src.linux-x86_64-3.10/numpy/distutils/__config__.py -> build/lib.linux-x86_64-3.10/numpy/distutils
            creating build/lib.linux-x86_64-3.10/numpy/distutils/command
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            copying numpy/polynomial/polyutils.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
            copying numpy/polynomial/hermite_e.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
            copying numpy/polynomial/_polybase.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
            creating build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_classes.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_legendre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_hermite.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_chebyshev.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_printing.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_hermite_e.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_polyutils.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_laguerre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            copying numpy/polynomial/tests/test_polynomial.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
            creating build/lib.linux-x86_64-3.10/numpy/random
            copying numpy/random/setup.py -> build/lib.linux-x86_64-3.10/numpy/random
            copying numpy/random/__init__.py -> build/lib.linux-x86_64-3.10/numpy/random
            copying numpy/random/_pickle.py -> build/lib.linux-x86_64-3.10/numpy/random
            creating build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_generator_mt19937_regressions.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_extending.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_seed_sequence.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_randomstate.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_smoke.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_generator_mt19937.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_randomstate_regression.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_direct.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            copying numpy/random/tests/test_random.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
            creating build/lib.linux-x86_64-3.10/numpy/testing
            copying numpy/testing/utils.py -> build/lib.linux-x86_64-3.10/numpy/testing
            copying numpy/testing/setup.py -> build/lib.linux-x86_64-3.10/numpy/testing
            copying numpy/testing/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing
            copying numpy/testing/print_coercion_tables.py -> build/lib.linux-x86_64-3.10/numpy/testing
            creating build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/utils.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/nosetester.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/noseclasses.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/decorators.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            copying numpy/testing/_private/parameterized.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
            creating build/lib.linux-x86_64-3.10/numpy/testing/tests
            copying numpy/testing/tests/test_decorators.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
            copying numpy/testing/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
            copying numpy/testing/tests/test_doctesting.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
            copying numpy/testing/tests/test_utils.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
            creating build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_scripts.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_matlib.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_numpy_version.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_reloading.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_public_api.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_ctypeslib.py -> build/lib.linux-x86_64-3.10/numpy/tests
            copying numpy/tests/test_warnings.py -> build/lib.linux-x86_64-3.10/numpy/tests
            running build_clib
            customize UnixCCompiler
            customize UnixCCompiler using new_build_clib
            building 'npymath' library
            compiling C sources
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating build/temp.linux-x86_64-3.10
            creating build/temp.linux-x86_64-3.10/numpy
            creating build/temp.linux-x86_64-3.10/numpy/core
            creating build/temp.linux-x86_64-3.10/numpy/core/src
            creating build/temp.linux-x86_64-3.10/numpy/core/src/npymath
            creating build/temp.linux-x86_64-3.10/build
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/npymath
            compile options: '-Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
            gcc: numpy/core/src/npymath/npy_math.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
            gcc: numpy/core/src/npymath/halffloat.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c
            ar: adding 4 object files to build/temp.linux-x86_64-3.10/libnpymath.a
            building 'npysort' library
            compiling C sources
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/npysort
            compile options: '-Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/quicksort.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/mergesort.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/timsort.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/binsearch.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/selection.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/radixsort.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/heapsort.c
            ar: adding 7 object files to build/temp.linux-x86_64-3.10/libnpysort.a
            building 'npyrandom' library
            compiling C sources
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating build/temp.linux-x86_64-3.10/numpy/random
            creating build/temp.linux-x86_64-3.10/numpy/random/src
            creating build/temp.linux-x86_64-3.10/numpy/random/src/distributions
            compile options: '-Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
            gcc: numpy/random/src/distributions/distributions.c
            gcc: numpy/random/src/distributions/logfactorial.c
            gcc: numpy/random/src/distributions/random_mvhg_marginals.c
            gcc: numpy/random/src/distributions/random_hypergeometric.c
            gcc: numpy/random/src/distributions/random_mvhg_count.c
            ar: adding 5 object files to build/temp.linux-x86_64-3.10/libnpyrandom.a
            running build_ext
            customize UnixCCompiler
            customize UnixCCompiler using new_build_ext
            building 'numpy.core._multiarray_tests' extension
            compiling C sources
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray
            creating build/temp.linux-x86_64-3.10/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_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.c
            gcc: numpy/core/src/common/mem_overlap.c
            gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/root/miniforge3/envs/animedm/lib -Wl,-rpath-link,/root/miniforge3/envs/animedm/lib -L/root/miniforge3/envs/animedm/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/root/miniforge3/envs/animedm/lib -Wl,-rpath-link,/root/miniforge3/envs/animedm/lib -L/root/miniforge3/envs/animedm/lib build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.o build/temp.linux-x86_64-3.10/numpy/core/src/common/mem_overlap.o -Lbuild/temp.linux-x86_64-3.10 -lnpymath -o build/lib.linux-x86_64-3.10/numpy/core/_multiarray_tests.cpython-310-x86_64-linux-gnu.so
            building 'numpy.core._multiarray_umath' extension
            compiling C sources
            C compiler: gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC

            creating build/temp.linux-x86_64-3.10/numpy/core/src/multiarray
            creating build/temp.linux-x86_64-3.10/numpy/core/src/umath
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/umath
            creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/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 -DHAVE_CBLAS -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
            gcc: numpy/core/src/multiarray/alloc.c
            gcc: numpy/core/src/multiarray/descriptor.c
            gcc: numpy/core/src/multiarray/array_assign_scalar.c
            gcc: numpy/core/src/multiarray/conversion_utils.c
            gcc: numpy/core/src/multiarray/buffer.c
            gcc: numpy/core/src/multiarray/common.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/einsum.c
            gcc: numpy/core/src/multiarray/datetime_strings.c
            gcc: numpy/core/src/multiarray/arrayobject.c
            gcc: numpy/core/src/multiarray/array_assign_array.c
            gcc: numpy/core/src/multiarray/ctors.c
            gcc: numpy/core/src/multiarray/convert.c
            gcc: numpy/core/src/multiarray/calculation.c
            gcc: numpy/core/src/multiarray/datetime_busday.c
            gcc: numpy/core/src/multiarray/arrayfunction_override.c
            gcc: numpy/core/src/multiarray/convert_datatype.c
            gcc: numpy/core/src/multiarray/hashdescr.c
            gcc: numpy/core/src/multiarray/dragon4.c
            gcc: numpy/core/src/multiarray/compiled_base.c
            gcc: numpy/core/src/multiarray/datetime_busdaycal.c
            gcc: numpy/core/src/multiarray/item_selection.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/arraytypes.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/lowlevel_strided_loops.c
            gcc: numpy/core/src/multiarray/multiarraymodule.c
            gcc: numpy/core/src/multiarray/datetime.c
            gcc: numpy/core/src/multiarray/dtype_transfer.c
            gcc: numpy/core/src/multiarray/nditer_constr.c
            gcc: numpy/core/src/multiarray/refcount.c
            gcc: numpy/core/src/multiarray/iterators.c
            gcc: numpy/core/src/multiarray/scalarapi.c
            gcc: numpy/core/src/multiarray/sequence.c
            gcc: numpy/core/src/multiarray/nditer_pywrap.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c
            gcc: numpy/core/src/multiarray/shape.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’
                 return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                                       ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                        ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 hashreal = _Py_HashDouble((double)
                                           ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 hashreal = _Py_HashDouble((double)
                            ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 hashimag = _Py_HashDouble((double)
                                           ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 hashimag = _Py_HashDouble((double)
                            ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                                       ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
                        ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 hashreal = _Py_HashDouble((double)
                                           ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 hashreal = _Py_HashDouble((double)
                            ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 hashimag = _Py_HashDouble((double)
                                           ^
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 hashimag = _Py_HashDouble((double)
                            ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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’
                 return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                                       ^~~~~~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: expected ‘PyObject * {aka struct _object *}’ but argument is of type ‘double’
             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’
                 return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                        ^~~~~~~~~~~~~~
            In file included from /root/miniforge3/envs/animedm/include/python3.10/Python.h:77:0,
                             from numpy/core/src/multiarray/scalartypes.c.src:3:
            /root/miniforge3/envs/animedm/include/python3.10/pyhash.h:10:23: note: declared here
             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]
             }
             ^
            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]
             }
             ^
            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]
             }
             ^
            gcc: numpy/core/src/multiarray/temp_elide.c
            gcc: numpy/core/src/multiarray/vdot.c
            gcc: numpy/core/src/multiarray/typeinfo.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.c
            gcc: numpy/core/src/umath/umathmodule.c
            gcc: numpy/core/src/multiarray/number.c
            gcc: numpy/core/src/multiarray/usertypes.c
            gcc: numpy/core/src/multiarray/flagsobject.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/nditer_templ.c
            gcc: numpy/core/src/umath/reduction.c
            gcc: numpy/core/src/umath/ufunc_object.c
            gcc: numpy/core/src/multiarray/getset.c
            gcc: numpy/core/src/umath/ufunc_type_resolution.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
            gcc: numpy/core/src/common/array_assign.c
            gcc: numpy/core/src/multiarray/nditer_api.c
            gcc: numpy/core/src/common/mem_overlap.c
            gcc: numpy/core/src/npymath/halffloat.c
            gcc: numpy/core/src/umath/override.c
            gcc: numpy/core/src/common/ucsnarrow.c
            gcc: numpy/core/src/npymath/npy_math.c
            gcc: numpy/core/src/common/ufunc_override.c
            gcc: numpy/core/src/common/npy_longdouble.c
            gcc: numpy/core/src/common/numpyos.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c
            gcc: numpy/core/src/umath/extobj.c
            gcc: numpy/core/src/common/cblasfuncs.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c
            gcc: numpy/core/src/common/python_xerbla.c
            gcc: numpy/core/src/multiarray/mapping.c
            gcc: numpy/core/src/multiarray/methods.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.c
            gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.c
            error: Command "gcc -pthread -B /root/miniforge3/envs/animedm/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -O2 -isystem /root/miniforge3/envs/animedm/include -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DHAVE_CBLAS -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/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/root/miniforge3/envs/animedm/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o.d" 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 backend 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.
segalinc commented 7 months ago

could this be bc of numpy version is so old by now? 1.19 vs 1.26 also I tried to use directly the code and in fact I get another issue about rasterfairy which doens't seem to be supporting python3 and the error is module numpy has no attribute float

segalinc commented 7 months ago

if a create a conda env for python3.7 there is no problem. I was using python3.10 any plan to make it compatible to 3.10? Any plant to allow to load huggingface datasets instead of manually passing a dir of folder and cvs as huggingface dataset have all those info? also is is possible to import pixplot as python module in a notebook or script?

duhaime commented 7 months ago

Thanks for looking into this!

If someone sent a merge request to add support for loading a huggingface dataset, we'd happily review it! Ditto for Python 3.10 support (if backwards compatable with earlier Python versions).

You can import pixplot functions if needed, but it wasn't designed for that use case, so no promises!