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			171 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			Python
		
	
			
		
		
	
	
			171 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			Python
		
	
# This file is generated by numpy's build process
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# It contains system_info results at the time of building this package.
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from enum import Enum
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from numpy._core._multiarray_umath import (
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    __cpu_features__,
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    __cpu_baseline__,
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    __cpu_dispatch__,
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)
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__all__ = ["show_config"]
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_built_with_meson = True
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class DisplayModes(Enum):
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    stdout = "stdout"
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    dicts = "dicts"
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def _cleanup(d):
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    """
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    Removes empty values in a `dict` recursively
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    This ensures we remove values that Meson could not provide to CONFIG
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    """
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    if isinstance(d, dict):
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        return {k: _cleanup(v) for k, v in d.items() if v and _cleanup(v)}
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    else:
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        return d
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CONFIG = _cleanup(
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    {
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        "Compilers": {
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            "c": {
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                "name": "gcc",
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                "linker": r"ld.bfd",
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                "version": "14.2.1",
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                "commands": r"cc",
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                "args": r"",
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                "linker args": r"",
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            },
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            "cython": {
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                "name": "cython",
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                "linker": r"cython",
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                "version": "3.1.3",
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                "commands": r"cython",
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                "args": r"",
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                "linker args": r"",
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            },
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            "c++": {
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                "name": "gcc",
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                "linker": r"ld.bfd",
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                "version": "14.2.1",
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                "commands": r"c++",
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                "args": r"",
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                "linker args": r"",
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            },
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        },
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        "Machine Information": {
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            "host": {
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                "cpu": "x86_64",
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                "family": "x86_64",
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                "endian": "little",
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                "system": "linux",
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            },
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            "build": {
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                "cpu": "x86_64",
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                "family": "x86_64",
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                "endian": "little",
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                "system": "linux",
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            },
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            "cross-compiled": bool("False".lower().replace("false", "")),
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        },
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        "Build Dependencies": {
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            "blas": {
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                "name": "scipy-openblas",
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                "found": bool("True".lower().replace("false", "")),
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                "version": "0.3.30",
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                "detection method": "pkgconfig",
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                "include directory": r"/opt/_internal/cpython-3.12.11/lib/python3.12/site-packages/scipy_openblas64/include",
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                "lib directory": r"/opt/_internal/cpython-3.12.11/lib/python3.12/site-packages/scipy_openblas64/lib",
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                "openblas configuration": r"OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64",
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                "pc file directory": r"/project/.openblas",
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            },
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            "lapack": {
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                "name": "scipy-openblas",
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                "found": bool("True".lower().replace("false", "")),
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                "version": "0.3.30",
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                "detection method": "pkgconfig",
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                "include directory": r"/opt/_internal/cpython-3.12.11/lib/python3.12/site-packages/scipy_openblas64/include",
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                "lib directory": r"/opt/_internal/cpython-3.12.11/lib/python3.12/site-packages/scipy_openblas64/lib",
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                "openblas configuration": r"OpenBLAS 0.3.30  USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64",
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                "pc file directory": r"/project/.openblas",
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            },
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        },
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        "Python Information": {
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            "path": r"/tmp/build-env-w4xgk5bb/bin/python",
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            "version": "3.12",
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        },
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        "SIMD Extensions": {
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            "baseline": __cpu_baseline__,
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            "found": [
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                feature for feature in __cpu_dispatch__ if __cpu_features__[feature]
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            ],
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            "not found": [
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                feature for feature in __cpu_dispatch__ if not __cpu_features__[feature]
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            ],
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        },
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    }
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)
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def _check_pyyaml():
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    import yaml
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    return yaml
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def show(mode=DisplayModes.stdout.value):
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    """
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    Show libraries and system information on which NumPy was built
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    and is being used
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    Parameters
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    ----------
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    mode : {`'stdout'`, `'dicts'`}, optional.
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        Indicates how to display the config information.
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        `'stdout'` prints to console, `'dicts'` returns a dictionary
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        of the configuration.
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    Returns
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    -------
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    out : {`dict`, `None`}
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        If mode is `'dicts'`, a dict is returned, else None
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    See Also
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    --------
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    get_include : Returns the directory containing NumPy C
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                  header files.
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    Notes
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    -----
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    1. The `'stdout'` mode will give more readable
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       output if ``pyyaml`` is installed
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    """
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    if mode == DisplayModes.stdout.value:
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        try:  # Non-standard library, check import
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            yaml = _check_pyyaml()
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            print(yaml.dump(CONFIG))
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        except ModuleNotFoundError:
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            import warnings
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            import json
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            warnings.warn("Install `pyyaml` for better output", stacklevel=1)
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            print(json.dumps(CONFIG, indent=2))
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    elif mode == DisplayModes.dicts.value:
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        return CONFIG
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    else:
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        raise AttributeError(
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            f"Invalid `mode`, use one of: {', '.join([e.value for e in DisplayModes])}"
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        )
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def show_config(mode=DisplayModes.stdout.value):
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    return show(mode)
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show_config.__doc__ = show.__doc__
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show_config.__module__ = "numpy"
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