# This file is generated by numpy's build process
# It contains system_info results at the time of building this package.
from enum import Enum
from numpy._core._multiarray_umath import (
__cpu_features__,
__cpu_baseline__,
__cpu_dispatch__,
)
__all__ = ["show"]
_built_with_meson = True
class DisplayModes(Enum):
stdout = "stdout"
dicts = "dicts"
def _cleanup(d):
"""
Removes empty values in a `dict` recursively
This ensures we remove values that Meson could not provide to CONFIG
"""
if isinstance(d, dict):
return {k: _cleanup(v) for k, v in d.items() if v and _cleanup(v)}
else:
return d
CONFIG = _cleanup(
{
"Compilers": {
"c": {
"name": "clang",
"linker": r"ld64",
"version": "15.0.0",
"commands": r"cc",
"args": r"",
"linker args": r"",
},
"cython": {
"name": "cython",
"linker": r"cython",
"version": "3.0.11",
"commands": r"cython",
"args": r"",
"linker args": r"",
},
"c++": {
"name": "clang",
"linker": r"ld64",
"version": "15.0.0",
"commands": r"c++",
"args": r"",
"linker args": r"",
},
},
"Machine Information": {
"host": {
"cpu": "x86_64",
"family": "x86_64",
"endian": "little",
"system": "darwin",
},
"build": {
"cpu": "x86_64",
"family": "x86_64",
"endian": "little",
"system": "darwin",
},
"cross-compiled": bool("False".lower().replace("false", "")),
},
"Build Dependencies": {
"blas": {
"name": "accelerate",
"found": bool("True".lower().replace("false", "")),
"version": "unknown",
"detection method": "system",
"include directory": r"unknown",
"lib directory": r"unknown",
"openblas configuration": r"unknown",
"pc file directory": r"unknown",
},
"lapack": {
"name": "accelerate",
"found": bool("True".lower().replace("false", "")),
"version": "unknown",
"detection method": "system",
"include directory": r"unknown",
"lib directory": r"unknown",
"openblas configuration": r"unknown",
"pc file directory": r"unknown",
},
},
"Python Information": {
"path": r"/private/var/folders/nj/wh528zms06j9t8y7bmlvpmjm0000gn/T/build-env-_j0z15p5/bin/python",
"version": "3.13",
},
"SIMD Extensions": {
"baseline": __cpu_baseline__,
"found": [
feature for feature in __cpu_dispatch__ if __cpu_features__[feature]
],
"not found": [
feature for feature in __cpu_dispatch__ if not __cpu_features__[feature]
],
},
}
)
def _check_pyyaml():
import yaml
return yaml
def show(mode=DisplayModes.stdout.value):
"""
Show libraries and system information on which NumPy was built
and is being used
Parameters
----------
mode : {`'stdout'`, `'dicts'`}, optional.
Indicates how to display the config information.
`'stdout'` prints to console, `'dicts'` returns a dictionary
of the configuration.
Returns
-------
out : {`dict`, `None`}
If mode is `'dicts'`, a dict is returned, else None
See Also
--------
get_include : Returns the directory containing NumPy C
header files.
Notes
-----
1. The `'stdout'` mode will give more readable
output if ``pyyaml`` is installed
"""
if mode == DisplayModes.stdout.value:
try: # Non-standard library, check import
yaml = _check_pyyaml()
print(yaml.dump(CONFIG))
except ModuleNotFoundError:
import warnings
import json
warnings.warn("Install `pyyaml` for better output", stacklevel=1)
print(json.dumps(CONFIG, indent=2))
elif mode == DisplayModes.dicts.value:
return CONFIG
else:
raise AttributeError(
f"Invalid `mode`, use one of: {', '.join([e.value for e in DisplayModes])}"
)