content stringlengths 1 103k ⌀ | path stringlengths 8 216 | filename stringlengths 2 179 | language stringclasses 15
values | size_bytes int64 2 189k | quality_score float64 0.5 0.95 | complexity float64 0 1 | documentation_ratio float64 0 1 | repository stringclasses 5
values | stars int64 0 1k | created_date stringdate 2023-07-10 19:21:08 2025-07-09 19:11:45 | license stringclasses 4
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\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\common_rules.cpython-313.pyc | common_rules.cpython-313.pyc | Other | 7,549 | 0.8 | 0.033058 | 0.008772 | react-lib | 765 | 2025-03-22T02:27:38.408913 | BSD-3-Clause | false | 00c6356bbfd795241fcfb9442d87cb8e |
\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\diagnose.cpython-313.pyc | diagnose.cpython-313.pyc | Other | 6,638 | 0.95 | 0.018519 | 0.02 | vue-tools | 915 | 2025-02-05T04:31:55.277192 | Apache-2.0 | false | dc2b355d4ed2e61c3e1dd6160c62489a |
\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\f2py2e.cpython-313.pyc | f2py2e.cpython-313.pyc | Other | 34,802 | 0.95 | 0.035581 | 0.00207 | react-lib | 704 | 2025-05-25T09:40:31.962864 | GPL-3.0 | false | b65cb805b95f7d89d6ab0c146f4dce59 |
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\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\func2subr.cpython-313.pyc | func2subr.cpython-313.pyc | Other | 12,050 | 0.95 | 0.05 | 0 | python-kit | 786 | 2023-09-03T07:04:31.224348 | MIT | false | 00390418ab85c78f826730df690f0161 |
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\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\_isocbind.cpython-313.pyc | _isocbind.cpython-313.pyc | Other | 1,900 | 0.95 | 0.033333 | 0 | react-lib | 826 | 2024-06-06T18:18:39.674754 | BSD-3-Clause | false | d8f8cdce9d724e0382cd7299bb018faa |
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\n\n | .venv\Lib\site-packages\numpy\f2py\__pycache__\__version__.cpython-313.pyc | __version__.cpython-313.pyc | Other | 236 | 0.7 | 0 | 0 | react-lib | 714 | 2024-07-02T11:18:02.482732 | Apache-2.0 | false | 4828949606cf6d177c7942cae0cdc2b2 |
def __getattr__(attr_name):\n import warnings\n\n from numpy.fft import _helper\n ret = getattr(_helper, attr_name, None)\n if ret is None:\n raise AttributeError(\n f"module 'numpy.fft.helper' has no attribute {attr_name}")\n warnings.warn(\n "The numpy.fft.helper has been made ... | .venv\Lib\site-packages\numpy\fft\helper.py | helper.py | Python | 628 | 0.85 | 0.117647 | 0 | python-kit | 835 | 2023-08-28T03:40:44.909819 | GPL-3.0 | false | f55dd430897e11ea62427c063168142d |
from typing import Any\nfrom typing import Literal as L\n\nfrom typing_extensions import deprecated\n\nimport numpy as np\nfrom numpy._typing import ArrayLike, NDArray, _ShapeLike\n\nfrom ._helper import integer_types as integer_types\n\n__all__ = ["fftfreq", "fftshift", "ifftshift", "rfftfreq"]\n\n###\n\n@deprecated("... | .venv\Lib\site-packages\numpy\fft\helper.pyi | helper.pyi | Other | 913 | 0.95 | 0.181818 | 0.0625 | node-utils | 700 | 2025-03-14T22:21:39.523638 | GPL-3.0 | false | 4a604e66aafb8e9e976450e117881309 |
"""\nDiscrete Fourier Transforms - _helper.py\n\n"""\nfrom numpy._core import arange, asarray, empty, integer, roll\nfrom numpy._core.overrides import array_function_dispatch, set_module\n\n# Created by Pearu Peterson, September 2002\n\n__all__ = ['fftshift', 'ifftshift', 'fftfreq', 'rfftfreq']\n\ninteger_types = (int,... | .venv\Lib\site-packages\numpy\fft\_helper.py | _helper.py | Python | 7,022 | 0.95 | 0.114894 | 0.005291 | node-utils | 953 | 2024-02-15T00:46:39.107540 | BSD-3-Clause | false | 5ec4f15092560d138153c1638e9c778c |
from typing import Any, Final, TypeVar, overload\nfrom typing import Literal as L\n\nfrom numpy import complexfloating, floating, generic, integer\nfrom numpy._typing import (\n ArrayLike,\n NDArray,\n _ArrayLike,\n _ArrayLikeComplex_co,\n _ArrayLikeFloat_co,\n _ShapeLike,\n)\n\n__all__ = ["fftfreq", ... | .venv\Lib\site-packages\numpy\fft\_helper.pyi | _helper.pyi | Other | 1,439 | 0.95 | 0.177778 | 0.142857 | python-kit | 524 | 2023-08-13T17:26:04.481912 | BSD-3-Clause | false | 61b6b158770a76f1cc7ea9b753d7c9d2 |
"""\nDiscrete Fourier Transforms\n\nRoutines in this module:\n\nfft(a, n=None, axis=-1, norm="backward")\nifft(a, n=None, axis=-1, norm="backward")\nrfft(a, n=None, axis=-1, norm="backward")\nirfft(a, n=None, axis=-1, norm="backward")\nhfft(a, n=None, axis=-1, norm="backward")\nihfft(a, n=None, axis=-1, norm="backward"... | .venv\Lib\site-packages\numpy\fft\_pocketfft.py | _pocketfft.py | Python | 64,291 | 0.75 | 0.100413 | 0.011086 | python-kit | 40 | 2023-09-18T13:55:18.852152 | Apache-2.0 | false | 3fa1f49a2447276e2f7a8fa839c5df0b |
from collections.abc import Sequence\nfrom typing import Literal as L\nfrom typing import TypeAlias\n\nfrom numpy import complex128, float64\nfrom numpy._typing import ArrayLike, NDArray, _ArrayLikeNumber_co\n\n__all__ = [\n "fft",\n "ifft",\n "rfft",\n "irfft",\n "hfft",\n "ihfft",\n "rfftn",\n ... | .venv\Lib\site-packages\numpy\fft\_pocketfft.pyi | _pocketfft.pyi | Other | 3,312 | 0.95 | 0.101449 | 0.008264 | vue-tools | 305 | 2024-11-01T04:33:39.259867 | BSD-3-Clause | false | b37eca93a5eeed3fa8f3c8bb6a0192dd |
!<arch>\n/ -1 0 206 `\n | .venv\Lib\site-packages\numpy\fft\_pocketfft_umath.cp313-win_amd64.lib | _pocketfft_umath.cp313-win_amd64.lib | Other | 2,176 | 0.8 | 0 | 0 | vue-tools | 789 | 2025-06-06T02:32:07.530046 | GPL-3.0 | false | 0962ba8c17e0105a7730e50cef750b32 |
"""\nDiscrete Fourier Transform\n==========================\n\n.. currentmodule:: numpy.fft\n\nThe SciPy module `scipy.fft` is a more comprehensive superset\nof `numpy.fft`, which includes only a basic set of routines.\n\nStandard FFTs\n-------------\n\n.. autosummary::\n :toctree: generated/\n\n fft Discrete... | .venv\Lib\site-packages\numpy\fft\__init__.py | __init__.py | Python | 8,506 | 0.95 | 0.083721 | 0.012048 | awesome-app | 60 | 2024-10-04T22:15:39.149395 | Apache-2.0 | false | c94471751c52c78cd0bd265bc36dcc1c |
from ._helper import (\n fftfreq,\n fftshift,\n ifftshift,\n rfftfreq,\n)\nfrom ._pocketfft import (\n fft,\n fft2,\n fftn,\n hfft,\n ifft,\n ifft2,\n ifftn,\n ihfft,\n irfft,\n irfft2,\n irfftn,\n rfft,\n rfft2,\n rfftn,\n)\n\n__all__ = [\n "fft",\n "ifft",\n... | .venv\Lib\site-packages\numpy\fft\__init__.pyi | __init__.pyi | Other | 557 | 0.85 | 0 | 0 | node-utils | 256 | 2023-12-26T18:05:00.696666 | Apache-2.0 | false | e39142f6802fd14b323791247d20f0f6 |
"""Test functions for fftpack.helper module\n\nCopied from fftpack.helper by Pearu Peterson, October 2005\n\n"""\nimport numpy as np\nfrom numpy import fft, pi\nfrom numpy.testing import assert_array_almost_equal\n\n\nclass TestFFTShift:\n\n def test_definition(self):\n x = [0, 1, 2, 3, 4, -4, -3, -2, -1]\n ... | .venv\Lib\site-packages\numpy\fft\tests\test_helper.py | test_helper.py | Python | 6,321 | 0.95 | 0.143713 | 0.051095 | node-utils | 499 | 2023-08-10T19:49:28.513738 | GPL-3.0 | true | 2ed1e7034405377d2d33a2245c5e758d |
import queue\nimport threading\n\nimport pytest\n\nimport numpy as np\nfrom numpy.random import random\nfrom numpy.testing import IS_WASM, assert_allclose, assert_array_equal, assert_raises\n\n\ndef fft1(x):\n L = len(x)\n phase = -2j * np.pi * (np.arange(L) / L)\n phase = np.arange(L).reshape(-1, 1) * phase\n... | .venv\Lib\site-packages\numpy\fft\tests\test_pocketfft.py | test_pocketfft.py | Python | 25,035 | 0.95 | 0.169779 | 0.06501 | awesome-app | 747 | 2025-03-30T05:27:39.888968 | GPL-3.0 | true | 9ae85d31a45366f0d218c34ed518f8dc |
\n\n | .venv\Lib\site-packages\numpy\fft\tests\__pycache__\test_helper.cpython-313.pyc | test_helper.cpython-313.pyc | Other | 9,087 | 0.95 | 0.013158 | 0 | node-utils | 162 | 2023-07-14T03:07:28.658003 | GPL-3.0 | true | 43bd243756274a37d1b3261cf10acd2f |
\n\n | .venv\Lib\site-packages\numpy\fft\tests\__pycache__\test_pocketfft.cpython-313.pyc | test_pocketfft.cpython-313.pyc | Other | 46,319 | 0.8 | 0.002865 | 0.005988 | python-kit | 482 | 2024-10-15T18:27:01.681906 | GPL-3.0 | true | 73b3fe6dcf39b9218c0ab648e6f6a04d |
\n\n | .venv\Lib\site-packages\numpy\fft\tests\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 190 | 0.7 | 0 | 0 | node-utils | 582 | 2024-10-30T10:28:03.253178 | MIT | true | ce7db631f9709e597c22b22e9c23f37b |
\n\n | .venv\Lib\site-packages\numpy\fft\__pycache__\helper.cpython-313.pyc | helper.cpython-313.pyc | Other | 913 | 0.85 | 0 | 0 | python-kit | 704 | 2023-09-08T19:11:54.556154 | GPL-3.0 | false | ec9c4005d490733fe1db97a293e01668 |
\n\n | .venv\Lib\site-packages\numpy\fft\__pycache__\_helper.cpython-313.pyc | _helper.cpython-313.pyc | Other | 7,566 | 0.95 | 0.069652 | 0 | python-kit | 398 | 2024-10-18T01:28:52.178096 | MIT | false | d740aee709d2e6f63977623d26d62aa1 |
\n\n | .venv\Lib\site-packages\numpy\fft\__pycache__\_pocketfft.cpython-313.pyc | _pocketfft.cpython-313.pyc | Other | 60,105 | 0.75 | 0.07788 | 0.006462 | react-lib | 61 | 2024-05-25T03:53:46.834174 | Apache-2.0 | false | d2a46cd6f84713e1faf96ac3e16c9f28 |
\n\n | .venv\Lib\site-packages\numpy\fft\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 8,403 | 0.95 | 0.084112 | 0.006024 | vue-tools | 481 | 2024-11-09T19:30:41.815853 | Apache-2.0 | false | d3abac69afb3112bf4a30fa52514b2ec |
from ._array_utils_impl import ( # noqa: F401\n __all__,\n __doc__,\n byte_bounds,\n normalize_axis_index,\n normalize_axis_tuple,\n)\n | .venv\Lib\site-packages\numpy\lib\array_utils.py | array_utils.py | Python | 151 | 0.95 | 0 | 0 | react-lib | 482 | 2024-11-11T19:17:30.383402 | Apache-2.0 | false | b865d1600d995b85baa34514b29e33c0 |
from ._array_utils_impl import (\n __all__ as __all__,\n)\nfrom ._array_utils_impl import (\n byte_bounds as byte_bounds,\n)\nfrom ._array_utils_impl import (\n normalize_axis_index as normalize_axis_index,\n)\nfrom ._array_utils_impl import (\n normalize_axis_tuple as normalize_axis_tuple,\n)\n | .venv\Lib\site-packages\numpy\lib\array_utils.pyi | array_utils.pyi | Other | 308 | 0.85 | 0 | 0 | vue-tools | 432 | 2024-01-09T19:11:46.814242 | MIT | false | 071982cb93277cf619bb1317ecb98d1b |
from ._format_impl import ( # noqa: F401\n ARRAY_ALIGN,\n BUFFER_SIZE,\n EXPECTED_KEYS,\n GROWTH_AXIS_MAX_DIGITS,\n MAGIC_LEN,\n MAGIC_PREFIX,\n __all__,\n __doc__,\n descr_to_dtype,\n drop_metadata,\n dtype_to_descr,\n header_data_from_array_1_0,\n isfileobj,\n magic,\n op... | .venv\Lib\site-packages\numpy\lib\format.py | format.py | Python | 501 | 0.95 | 0 | 0 | node-utils | 839 | 2023-11-01T22:31:37.004782 | GPL-3.0 | false | 9f856071e1809634b4114db977895ea4 |
from ._format_impl import (\n ARRAY_ALIGN as ARRAY_ALIGN,\n)\nfrom ._format_impl import (\n BUFFER_SIZE as BUFFER_SIZE,\n)\nfrom ._format_impl import (\n EXPECTED_KEYS as EXPECTED_KEYS,\n)\nfrom ._format_impl import (\n GROWTH_AXIS_MAX_DIGITS as GROWTH_AXIS_MAX_DIGITS,\n)\nfrom ._format_impl import (\n M... | .venv\Lib\site-packages\numpy\lib\format.pyi | format.pyi | Other | 1,548 | 0.85 | 0 | 0 | awesome-app | 86 | 2023-12-29T15:18:31.881558 | GPL-3.0 | false | 7071a53df1876fc7f672838f3628e220 |
"""\nIntrospection helper functions.\n"""\n\n__all__ = ['opt_func_info']\n\n\ndef opt_func_info(func_name=None, signature=None):\n """\n Returns a dictionary containing the currently supported CPU dispatched\n features for all optimized functions.\n\n Parameters\n ----------\n func_name : str (optiona... | .venv\Lib\site-packages\numpy\lib\introspect.py | introspect.py | Python | 2,844 | 0.85 | 0.147368 | 0 | node-utils | 641 | 2025-02-17T21:50:41.994515 | Apache-2.0 | false | f884dc39bae045204843f2f9e8ab2f79 |
__all__ = ["opt_func_info"]\n\ndef opt_func_info(func_name: str | None = None, signature: str | None = None) -> dict[str, dict[str, dict[str, str]]]: ...\n | .venv\Lib\site-packages\numpy\lib\introspect.pyi | introspect.pyi | Other | 155 | 0.85 | 0.333333 | 0 | python-kit | 698 | 2023-10-16T06:56:42.093774 | MIT | false | 9d1949f2e4e3e6f90bd7bc6563d8634f |
"""\nMixin classes for custom array types that don't inherit from ndarray.\n"""\n\n__all__ = ['NDArrayOperatorsMixin']\n\n\ndef _disables_array_ufunc(obj):\n """True when __array_ufunc__ is set to None."""\n try:\n return obj.__array_ufunc__ is None\n except AttributeError:\n return False\n\n\nde... | .venv\Lib\site-packages\numpy\lib\mixins.py | mixins.py | Python | 7,380 | 0.95 | 0.194444 | 0.045752 | python-kit | 643 | 2023-10-10T21:32:13.021448 | Apache-2.0 | false | 4f5d88357e980305823d6d9c780f7cc8 |
from abc import ABC, abstractmethod\nfrom typing import Any\nfrom typing import Literal as L\n\nfrom numpy import ufunc\n\n__all__ = ["NDArrayOperatorsMixin"]\n\n# NOTE: `NDArrayOperatorsMixin` is not formally an abstract baseclass,\n# even though it's reliant on subclasses implementing `__array_ufunc__`\n\n# NOTE: The... | .venv\Lib\site-packages\numpy\lib\mixins.pyi | mixins.pyi | Other | 3,206 | 0.95 | 0.706667 | 0.1 | vue-tools | 871 | 2025-01-16T05:37:59.367676 | Apache-2.0 | false | 6d996ab341f6e5a870bbb8ea8c038d2b |
from ._npyio_impl import DataSource, NpzFile, __doc__ # noqa: F401\n | .venv\Lib\site-packages\numpy\lib\npyio.py | npyio.py | Python | 69 | 0.75 | 0 | 0 | node-utils | 261 | 2025-02-18T05:22:18.875627 | BSD-3-Clause | false | 30a65bcc4eac6a4d60b70ef70480c69b |
from numpy.lib._npyio_impl import (\n DataSource as DataSource,\n)\nfrom numpy.lib._npyio_impl import (\n NpzFile as NpzFile,\n)\nfrom numpy.lib._npyio_impl import (\n __doc__ as __doc__,\n)\n | .venv\Lib\site-packages\numpy\lib\npyio.pyi | npyio.pyi | Other | 201 | 0.85 | 0 | 0 | vue-tools | 107 | 2023-10-24T11:24:50.530267 | MIT | false | 248241c0b44b55b97adfa6ce0d0366b8 |
"""\nCollection of utilities to manipulate structured arrays.\n\nMost of these functions were initially implemented by John Hunter for\nmatplotlib. They have been rewritten and extended for convenience.\n\n"""\nimport itertools\n\nimport numpy as np\nimport numpy.ma as ma\nimport numpy.ma.mrecords as mrec\nfrom numpy.... | .venv\Lib\site-packages\numpy\lib\recfunctions.py | recfunctions.py | Python | 61,220 | 0.75 | 0.160619 | 0.070588 | python-kit | 861 | 2024-03-04T16:17:41.456932 | GPL-3.0 | false | 208d59521b7cc33e36a46fafc26c8359 |
from collections.abc import Callable, Iterable, Mapping, Sequence\nfrom typing import Any, Literal, TypeAlias, overload\n\nfrom _typeshed import Incomplete\nfrom typing_extensions import TypeVar\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _AnyShape, _DTypeLike, _DTypeLikeVoid\nfrom nump... | .venv\Lib\site-packages\numpy\lib\recfunctions.pyi | recfunctions.pyi | Other | 13,651 | 0.95 | 0.112644 | 0.081081 | node-utils | 323 | 2025-01-31T23:49:04.980862 | BSD-3-Clause | false | b7c0511b46a1cb8f88f6bdb61f7f3b99 |
from ._scimath_impl import ( # noqa: F401\n __all__,\n __doc__,\n arccos,\n arcsin,\n arctanh,\n log,\n log2,\n log10,\n logn,\n power,\n sqrt,\n)\n | .venv\Lib\site-packages\numpy\lib\scimath.py | scimath.py | Python | 182 | 0.95 | 0 | 0 | node-utils | 813 | 2025-05-01T01:22:32.527419 | MIT | false | db4b3c6289e11aae867569d4409c6c7d |
from ._scimath_impl import (\n __all__ as __all__,\n)\nfrom ._scimath_impl import (\n arccos as arccos,\n)\nfrom ._scimath_impl import (\n arcsin as arcsin,\n)\nfrom ._scimath_impl import (\n arctanh as arctanh,\n)\nfrom ._scimath_impl import (\n log as log,\n)\nfrom ._scimath_impl import (\n log2 as ... | .venv\Lib\site-packages\numpy\lib\scimath.pyi | scimath.pyi | Other | 542 | 0.85 | 0 | 0 | node-utils | 381 | 2024-06-17T04:04:40.729317 | MIT | false | 6c808b33f491c90a511fb526bb13b546 |
from ._stride_tricks_impl import __doc__, as_strided, sliding_window_view # noqa: F401\n | .venv\Lib\site-packages\numpy\lib\stride_tricks.py | stride_tricks.py | Python | 89 | 0.75 | 0 | 0 | python-kit | 133 | 2024-08-31T09:14:16.278216 | Apache-2.0 | false | a7ec66cbea0f4fcc4bb3f4462e85d787 |
from numpy.lib._stride_tricks_impl import (\n as_strided as as_strided,\n)\nfrom numpy.lib._stride_tricks_impl import (\n sliding_window_view as sliding_window_view,\n)\n | .venv\Lib\site-packages\numpy\lib\stride_tricks.pyi | stride_tricks.pyi | Other | 176 | 0.85 | 0 | 0 | react-lib | 386 | 2025-04-03T02:05:28.173541 | Apache-2.0 | false | e62d5c7c69c36b4f9d7298e9513432e6 |
from ._user_array_impl import __doc__, container # noqa: F401\n | .venv\Lib\site-packages\numpy\lib\user_array.py | user_array.py | Python | 64 | 0.75 | 0 | 0 | vue-tools | 911 | 2025-05-29T07:00:43.080599 | GPL-3.0 | false | 1cf31a900ad92ca6073dc2ac37becc9f |
from ._user_array_impl import container as container\n | .venv\Lib\site-packages\numpy\lib\user_array.pyi | user_array.pyi | Other | 54 | 0.65 | 0 | 0 | react-lib | 422 | 2024-02-18T13:37:54.188915 | Apache-2.0 | false | e68c9a2d9b222abafdeead2978bb5b63 |
"""\nThe arraypad module contains a group of functions to pad values onto the edges\nof an n-dimensional array.\n\n"""\nimport numpy as np\nfrom numpy._core.overrides import array_function_dispatch\nfrom numpy.lib._index_tricks_impl import ndindex\n\n__all__ = ['pad']\n\n\n##############################################... | .venv\Lib\site-packages\numpy\lib\_arraypad_impl.py | _arraypad_impl.py | Python | 33,186 | 0.95 | 0.134831 | 0.12349 | node-utils | 578 | 2024-11-10T19:27:33.415410 | Apache-2.0 | false | f78d8950de430ec4003c370226fe2e03 |
from typing import (\n Any,\n Protocol,\n TypeAlias,\n TypeVar,\n overload,\n type_check_only,\n)\nfrom typing import (\n Literal as L,\n)\n\nfrom numpy import generic\nfrom numpy._typing import (\n ArrayLike,\n NDArray,\n _ArrayLike,\n _ArrayLikeInt,\n)\n\n__all__ = ["pad"]\n\n_ScalarT... | .venv\Lib\site-packages\numpy\lib\_arraypad_impl.pyi | _arraypad_impl.pyi | Other | 1,926 | 0.95 | 0.067416 | 0.085366 | node-utils | 8 | 2025-04-01T10:44:41.568286 | Apache-2.0 | false | 6d71c8490b1af7566ee81c80da852f26 |
"""\nSet operations for arrays based on sorting.\n\nNotes\n-----\n\nFor floating point arrays, inaccurate results may appear due to usual round-off\nand floating point comparison issues.\n\nSpeed could be gained in some operations by an implementation of\n`numpy.sort`, that can provide directly the permutation vectors,... | .venv\Lib\site-packages\numpy\lib\_arraysetops_impl.py | _arraysetops_impl.py | Python | 42,535 | 0.95 | 0.13254 | 0.072336 | awesome-app | 382 | 2023-07-30T08:57:04.643178 | GPL-3.0 | false | 26c275b692484cf99ac61aef295d0a1c |
from typing import Any, Generic, NamedTuple, SupportsIndex, TypeAlias, overload\nfrom typing import Literal as L\n\nfrom typing_extensions import TypeVar, deprecated\n\nimport numpy as np\nfrom numpy._typing import (\n ArrayLike,\n NDArray,\n _ArrayLike,\n _ArrayLikeBool_co,\n _ArrayLikeNumber_co,\n)\n\n... | .venv\Lib\site-packages\numpy\lib\_arraysetops_impl.pyi | _arraysetops_impl.pyi | Other | 13,247 | 0.95 | 0.123874 | 0.109005 | node-utils | 521 | 2025-05-08T19:31:59.954852 | MIT | false | 62ea03125def41d131d8bb15bf4847e8 |
"""\nA buffered iterator for big arrays.\n\nThis module solves the problem of iterating over a big file-based array\nwithout having to read it into memory. The `Arrayterator` class wraps\nan array object, and when iterated it will return sub-arrays with at most\na user-specified number of elements.\n\n"""\nfrom functoo... | .venv\Lib\site-packages\numpy\lib\_arrayterator_impl.py | _arrayterator_impl.py | Python | 7,442 | 0.95 | 0.196429 | 0.07027 | awesome-app | 776 | 2024-01-06T08:09:08.543371 | Apache-2.0 | false | 6ac7583d5b1203ac31c4a62998552078 |
# pyright: reportIncompatibleMethodOverride=false\n\nfrom collections.abc import Generator\nfrom types import EllipsisType\nfrom typing import Any, Final, TypeAlias, overload\n\nfrom typing_extensions import TypeVar\n\nimport numpy as np\nfrom numpy._typing import _AnyShape, _Shape\n\n__all__ = ["Arrayterator"]\n\n_Sha... | .venv\Lib\site-packages\numpy\lib\_arrayterator_impl.pyi | _arrayterator_impl.pyi | Other | 1,922 | 0.95 | 0.173913 | 0.171429 | vue-tools | 485 | 2023-10-22T02:34:44.234430 | MIT | false | 976e37d812a33b174503a63b14a78d69 |
"""\nMiscellaneous utils.\n"""\nfrom numpy._core import asarray\nfrom numpy._core.numeric import normalize_axis_index, normalize_axis_tuple\nfrom numpy._utils import set_module\n\n__all__ = ["byte_bounds", "normalize_axis_tuple", "normalize_axis_index"]\n\n\n@set_module("numpy.lib.array_utils")\ndef byte_bounds(a):\n ... | .venv\Lib\site-packages\numpy\lib\_array_utils_impl.py | _array_utils_impl.py | Python | 1,759 | 0.95 | 0.064516 | 0.018519 | python-kit | 259 | 2024-06-16T00:10:50.181800 | MIT | false | 96bb2c48aa5101bba98c17b0e2343a87 |
from collections.abc import Iterable\nfrom typing import Any\n\nfrom numpy import generic\nfrom numpy.typing import NDArray\n\n__all__ = ["byte_bounds", "normalize_axis_tuple", "normalize_axis_index"]\n\n# NOTE: In practice `byte_bounds` can (potentially) take any object\n# implementing the `__array_interface__` protoc... | .venv\Lib\site-packages\numpy\lib\_array_utils_impl.pyi | _array_utils_impl.pyi | Other | 846 | 0.95 | 0.153846 | 0.190476 | awesome-app | 32 | 2024-04-20T08:35:31.906405 | MIT | false | 9318f6ff079be444bf208cd36ee7e215 |
"""A file interface for handling local and remote data files.\n\nThe goal of datasource is to abstract some of the file system operations\nwhen dealing with data files so the researcher doesn't have to know all the\nlow-level details. Through datasource, a researcher can obtain and use a\nfile with one function call, ... | .venv\Lib\site-packages\numpy\lib\_datasource.py | _datasource.py | Python | 23,431 | 0.95 | 0.162857 | 0.075676 | vue-tools | 953 | 2024-01-24T03:34:29.753069 | BSD-3-Clause | false | 90d66371a10c7a654cf3b6406adea5d5 |
from pathlib import Path\nfrom typing import IO, Any, TypeAlias\n\nfrom _typeshed import OpenBinaryMode, OpenTextMode\n\n_Mode: TypeAlias = OpenBinaryMode | OpenTextMode\n\n###\n\n# exported in numpy.lib.nppyio\nclass DataSource:\n def __init__(self, /, destpath: Path | str | None = ...) -> None: ...\n def __del_... | .venv\Lib\site-packages\numpy\lib\_datasource.pyi | _datasource.pyi | Other | 1,027 | 0.95 | 0.322581 | 0.166667 | awesome-app | 9 | 2024-11-06T01:26:36.491929 | MIT | false | a9a7c33b706898a0789dd6d310d52ddc |
"""\nBinary serialization\n\nNPY format\n==========\n\nA simple format for saving numpy arrays to disk with the full\ninformation about them.\n\nThe ``.npy`` format is the standard binary file format in NumPy for\npersisting a *single* arbitrary NumPy array on disk. The format stores all\nof the shape and dtype informa... | .venv\Lib\site-packages\numpy\lib\_format_impl.py | _format_impl.py | Python | 37,901 | 0.95 | 0.130309 | 0.097477 | vue-tools | 912 | 2023-11-30T07:46:59.551993 | BSD-3-Clause | false | 7e91467dad3db30d131b7a267362bea8 |
from typing import Final, Literal\n\nfrom numpy.lib._utils_impl import drop_metadata # noqa: F401\n\n__all__: list[str] = []\n\nEXPECTED_KEYS: Final[set[str]]\nMAGIC_PREFIX: Final[bytes]\nMAGIC_LEN: Literal[8]\nARRAY_ALIGN: Literal[64]\nBUFFER_SIZE: Literal[262144] # 2**18\nGROWTH_AXIS_MAX_DIGITS: Literal[21]\n\ndef ... | .venv\Lib\site-packages\numpy\lib\_format_impl.pyi | _format_impl.pyi | Other | 895 | 0.95 | 0.5 | 0 | python-kit | 497 | 2025-03-02T23:07:31.010445 | Apache-2.0 | false | a8f8717818aca25e9982a0f2e515621f |
# ruff: noqa: ANN401\nfrom collections.abc import Callable, Iterable, Sequence\nfrom typing import (\n Any,\n Concatenate,\n ParamSpec,\n Protocol,\n SupportsIndex,\n SupportsInt,\n TypeAlias,\n TypeVar,\n overload,\n type_check_only,\n)\nfrom typing import Literal as L\n\nfrom _typeshed i... | .venv\Lib\site-packages\numpy\lib\_function_base_impl.pyi | _function_base_impl.pyi | Other | 25,101 | 0.95 | 0.117766 | 0.055378 | vue-tools | 555 | 2024-07-31T16:16:36.277078 | BSD-3-Clause | false | 97c08576ff274b70ba3e3b1cc5c6bdce |
"""\nHistogram-related functions\n"""\nimport contextlib\nimport functools\nimport operator\nimport warnings\n\nimport numpy as np\nfrom numpy._core import overrides\n\n__all__ = ['histogram', 'histogramdd', 'histogram_bin_edges']\n\narray_function_dispatch = functools.partial(\n overrides.array_function_dispatch, m... | .venv\Lib\site-packages\numpy\lib\_histograms_impl.py | _histograms_impl.py | Python | 39,517 | 0.95 | 0.142857 | 0.086809 | python-kit | 461 | 2025-06-12T08:00:49.292759 | BSD-3-Clause | false | 5d3fa42522bed5a1473ac265e19380d6 |
from collections.abc import Sequence\nfrom typing import (\n Any,\n SupportsIndex,\n TypeAlias,\n)\nfrom typing import (\n Literal as L,\n)\n\nfrom numpy._typing import (\n ArrayLike,\n NDArray,\n)\n\n__all__ = ["histogram", "histogramdd", "histogram_bin_edges"]\n\n_BinKind: TypeAlias = L[\n "stone... | .venv\Lib\site-packages\numpy\lib\_histograms_impl.pyi | _histograms_impl.pyi | Other | 1,143 | 0.85 | 0.06 | 0 | python-kit | 666 | 2024-01-14T06:09:32.332255 | BSD-3-Clause | false | 9331bdb106187219ebc3893533291908 |
import functools\nimport math\nimport sys\nimport warnings\n\nimport numpy as np\nimport numpy._core.numeric as _nx\nimport numpy.matrixlib as matrixlib\nfrom numpy._core import linspace, overrides\nfrom numpy._core.multiarray import ravel_multi_index, unravel_index\nfrom numpy._core.numeric import ScalarType, array\nf... | .venv\Lib\site-packages\numpy\lib\_index_tricks_impl.py | _index_tricks_impl.py | Python | 33,253 | 0.95 | 0.109653 | 0.041522 | node-utils | 718 | 2024-02-20T23:33:59.505826 | BSD-3-Clause | false | dace44f8860cd962f544f4d3c83530fb |
from collections.abc import Sequence\nfrom typing import Any, ClassVar, Final, Generic, Self, SupportsIndex, final, overload\nfrom typing import Literal as L\n\nfrom _typeshed import Incomplete\nfrom typing_extensions import TypeVar, deprecated\n\nimport numpy as np\nfrom numpy._core.multiarray import ravel_multi_index... | .venv\Lib\site-packages\numpy\lib\_index_tricks_impl.pyi | _index_tricks_impl.pyi | Other | 6,521 | 0.95 | 0.270408 | 0.072727 | node-utils | 890 | 2024-11-06T08:24:17.769941 | GPL-3.0 | false | 36fbef371ba5e8e54433d6ec3633cbf7 |
"""A collection of functions designed to help I/O with ascii files.\n\n"""\n__docformat__ = "restructuredtext en"\n\nimport itertools\n\nimport numpy as np\nimport numpy._core.numeric as nx\nfrom numpy._utils import asbytes, asunicode\n\n\ndef _decode_line(line, encoding=None):\n """Decode bytes from binary input st... | .venv\Lib\site-packages\numpy\lib\_iotools.py | _iotools.py | Python | 31,776 | 0.95 | 0.192222 | 0.072633 | vue-tools | 407 | 2024-07-15T02:45:16.496255 | BSD-3-Clause | false | cdc648b6be4beaf384869aa70cfb9191 |
from collections.abc import Callable, Iterable, Sequence\nfrom typing import (\n Any,\n ClassVar,\n Final,\n Literal,\n TypedDict,\n TypeVar,\n Unpack,\n overload,\n type_check_only,\n)\n\nimport numpy as np\nimport numpy.typing as npt\n\n_T = TypeVar("_T")\n\n@type_check_only\nclass _Validat... | .venv\Lib\site-packages\numpy\lib\_iotools.pyi | _iotools.pyi | Other | 3,507 | 0.95 | 0.210526 | 0.050505 | awesome-app | 678 | 2024-11-13T19:11:23.169268 | GPL-3.0 | false | 706b3f354ee006d8f620a3dc73ab95d8 |
"""\nFunctions that ignore NaN.\n\nFunctions\n---------\n\n- `nanmin` -- minimum non-NaN value\n- `nanmax` -- maximum non-NaN value\n- `nanargmin` -- index of minimum non-NaN value\n- `nanargmax` -- index of maximum non-NaN value\n- `nansum` -- sum of non-NaN values\n- `nanprod` -- product of non-NaN values\n- `nancums... | .venv\Lib\site-packages\numpy\lib\_nanfunctions_impl.py | _nanfunctions_impl.py | Python | 73,973 | 0.75 | 0.130435 | 0.037725 | awesome-app | 739 | 2023-08-04T15:47:25.957139 | GPL-3.0 | false | 5ff24b874321f6631cbba397fa596408 |
from numpy._core.fromnumeric import (\n amax,\n amin,\n argmax,\n argmin,\n cumprod,\n cumsum,\n mean,\n prod,\n std,\n sum,\n var,\n)\nfrom numpy.lib._function_base_impl import (\n median,\n percentile,\n quantile,\n)\n\n__all__ = [\n "nansum",\n "nanmax",\n "nanmin",... | .venv\Lib\site-packages\numpy\lib\_nanfunctions_impl.pyi | _nanfunctions_impl.pyi | Other | 885 | 0.95 | 0 | 0.04 | python-kit | 554 | 2025-07-02T08:09:12.958949 | MIT | false | 9d08f654b951a1eb3ce130a4757b63d4 |
"""\nIO related functions.\n"""\nimport contextlib\nimport functools\nimport itertools\nimport operator\nimport os\nimport pickle\nimport re\nimport warnings\nimport weakref\nfrom collections.abc import Mapping\nfrom operator import itemgetter\n\nimport numpy as np\nfrom numpy._core import overrides\nfrom numpy._core._... | .venv\Lib\site-packages\numpy\lib\_npyio_impl.py | _npyio_impl.py | Python | 101,876 | 0.75 | 0.164869 | 0.093054 | node-utils | 466 | 2023-09-11T15:45:59.806986 | MIT | false | 2147d506f7511927458dff4ab97e6c94 |
import types\nimport zipfile\nfrom collections.abc import Callable, Collection, Iterable, Iterator, Mapping, Sequence\nfrom re import Pattern\nfrom typing import (\n IO,\n Any,\n ClassVar,\n Generic,\n Protocol,\n Self,\n TypeAlias,\n overload,\n type_check_only,\n)\nfrom typing import Litera... | .venv\Lib\site-packages\numpy\lib\_npyio_impl.pyi | _npyio_impl.pyi | Other | 9,689 | 0.95 | 0.116279 | 0.053571 | vue-tools | 911 | 2024-07-18T01:03:12.946651 | Apache-2.0 | false | 72895b101df0244d9a8e24eb681cd213 |
"""\nFunctions to operate on polynomials.\n\n"""\n__all__ = ['poly', 'roots', 'polyint', 'polyder', 'polyadd',\n 'polysub', 'polymul', 'polydiv', 'polyval', 'poly1d',\n 'polyfit']\n\nimport functools\nimport re\nimport warnings\n\nimport numpy._core.numeric as NX\nfrom numpy._core import (\n abs,... | .venv\Lib\site-packages\numpy\lib\_polynomial_impl.py | _polynomial_impl.py | Python | 45,599 | 0.95 | 0.117406 | 0.024723 | python-kit | 73 | 2024-06-23T22:19:29.584407 | Apache-2.0 | false | 0f0a7a78238b3a109b29d24b15ec9a6c |
from typing import (\n Any,\n NoReturn,\n SupportsIndex,\n SupportsInt,\n TypeAlias,\n TypeVar,\n overload,\n)\nfrom typing import (\n Literal as L,\n)\n\nimport numpy as np\nfrom numpy import (\n complex128,\n complexfloating,\n float64,\n floating,\n int32,\n int64,\n obje... | .venv\Lib\site-packages\numpy\lib\_polynomial_impl.pyi | _polynomial_impl.pyi | Other | 7,315 | 0.95 | 0.136076 | 0.009934 | node-utils | 586 | 2023-08-27T12:49:32.603059 | Apache-2.0 | false | c4815b81822a2e63167cf0a9203aaada |
"""\nWrapper functions to more user-friendly calling of certain math functions\nwhose output data-type is different than the input data-type in certain\ndomains of the input.\n\nFor example, for functions like `log` with branch cuts, the versions in this\nmodule provide the mathematically valid answers in the complex p... | .venv\Lib\site-packages\numpy\lib\_scimath_impl.py | _scimath_impl.py | Python | 16,334 | 0.95 | 0.070093 | 0 | node-utils | 820 | 2024-09-22T23:31:40.131777 | BSD-3-Clause | false | 9768ec30fec11d0476ddcc9453c29041 |
from typing import Any, overload\n\nfrom numpy import complexfloating\nfrom numpy._typing import (\n NDArray,\n _ArrayLikeComplex_co,\n _ArrayLikeFloat_co,\n _ComplexLike_co,\n _FloatLike_co,\n)\n\n__all__ = ["sqrt", "log", "log2", "logn", "log10", "power", "arccos", "arcsin", "arctanh"]\n\n@overload\nde... | .venv\Lib\site-packages\numpy\lib\_scimath_impl.pyi | _scimath_impl.pyi | Other | 2,867 | 0.85 | 0.387097 | 0 | node-utils | 621 | 2023-09-14T21:56:07.275369 | MIT | false | 9c292822a7498826c0f807b460aa30a8 |
import functools\nimport warnings\n\nimport numpy._core.numeric as _nx\nfrom numpy._core import atleast_3d, overrides, vstack\nfrom numpy._core._multiarray_umath import _array_converter\nfrom numpy._core.fromnumeric import reshape, transpose\nfrom numpy._core.multiarray import normalize_axis_index\nfrom numpy._core.num... | .venv\Lib\site-packages\numpy\lib\_shape_base_impl.py | _shape_base_impl.py | Python | 40,780 | 0.95 | 0.108378 | 0.039623 | vue-tools | 42 | 2024-02-09T21:33:21.702694 | MIT | false | c005279982129430b0c783efc0b379fc |
from collections.abc import Callable, Sequence\nfrom typing import (\n Any,\n Concatenate,\n ParamSpec,\n Protocol,\n SupportsIndex,\n TypeVar,\n overload,\n type_check_only,\n)\n\nfrom typing_extensions import deprecated\n\nimport numpy as np\nfrom numpy import (\n _CastingKind,\n complex... | .venv\Lib\site-packages\numpy\lib\_shape_base_impl.pyi | _shape_base_impl.pyi | Other | 5,647 | 0.95 | 0.157447 | 0.042453 | python-kit | 466 | 2024-10-12T00:59:12.041590 | BSD-3-Clause | false | fcfd7d197bd962777752f8b7cfa6018c |
"""\nUtilities that manipulate strides to achieve desirable effects.\n\nAn explanation of strides can be found in the :ref:`arrays.ndarray`.\n\n"""\nimport numpy as np\nfrom numpy._core.numeric import normalize_axis_tuple\nfrom numpy._core.overrides import array_function_dispatch, set_module\n\n__all__ = ['broadcast_to... | .venv\Lib\site-packages\numpy\lib\_stride_tricks_impl.py | _stride_tricks_impl.py | Python | 18,574 | 0.95 | 0.10929 | 0.05298 | awesome-app | 701 | 2024-09-28T05:49:56.047156 | Apache-2.0 | false | 12f4813761e8c5b71aea2c4a8fff1932 |
from collections.abc import Iterable\nfrom typing import Any, SupportsIndex, TypeVar, overload\n\nfrom numpy import generic\nfrom numpy._typing import ArrayLike, NDArray, _AnyShape, _ArrayLike, _ShapeLike\n\n__all__ = ["broadcast_to", "broadcast_arrays", "broadcast_shapes"]\n\n_ScalarT = TypeVar("_ScalarT", bound=gener... | .venv\Lib\site-packages\numpy\lib\_stride_tricks_impl.pyi | _stride_tricks_impl.pyi | Other | 1,889 | 0.85 | 0.135135 | 0.046154 | node-utils | 294 | 2023-11-06T02:30:25.999186 | BSD-3-Clause | false | 1bd8861c68d87b9e139702bbab62d466 |
""" Basic functions for manipulating 2d arrays\n\n"""\nimport functools\nimport operator\n\nfrom numpy._core import iinfo, overrides\nfrom numpy._core._multiarray_umath import _array_converter\nfrom numpy._core.numeric import (\n arange,\n asanyarray,\n asarray,\n diagonal,\n empty,\n greater_equal,\n... | .venv\Lib\site-packages\numpy\lib\_twodim_base_impl.py | _twodim_base_impl.py | Python | 35,126 | 0.95 | 0.104913 | 0.011423 | node-utils | 461 | 2024-04-06T18:02:46.140747 | Apache-2.0 | false | 148b2969ac0238827e16628840a66324 |
from collections.abc import Callable, Sequence\nfrom typing import (\n Any,\n TypeAlias,\n TypeVar,\n overload,\n)\nfrom typing import (\n Literal as L,\n)\n\nimport numpy as np\nfrom numpy import (\n _OrderCF,\n complex128,\n complexfloating,\n datetime64,\n float64,\n floating,\n g... | .venv\Lib\site-packages\numpy\lib\_twodim_base_impl.pyi | _twodim_base_impl.pyi | Other | 11,631 | 0.95 | 0.100457 | 0.033735 | react-lib | 754 | 2023-07-14T09:37:20.472693 | GPL-3.0 | false | a176c9c0b3d89081dd54a66f28edcd35 |
"""Automatically adapted for numpy Sep 19, 2005 by convertcode.py\n\n"""\nimport functools\n\n__all__ = ['iscomplexobj', 'isrealobj', 'imag', 'iscomplex',\n 'isreal', 'nan_to_num', 'real', 'real_if_close',\n 'typename', 'mintypecode',\n 'common_type']\n\nimport numpy._core.numeric as _nx\n... | .venv\Lib\site-packages\numpy\lib\_type_check_impl.py | _type_check_impl.py | Python | 19,920 | 0.95 | 0.118741 | 0.008787 | awesome-app | 339 | 2023-09-25T09:04:01.000587 | MIT | false | 3a001879460df0bcb962e897676c70bd |
from collections.abc import Container, Iterable\nfrom typing import Any, Protocol, TypeAlias, overload, type_check_only\nfrom typing import Literal as L\n\nfrom _typeshed import Incomplete\nfrom typing_extensions import TypeVar\n\nimport numpy as np\nfrom numpy._typing import (\n ArrayLike,\n NDArray,\n _16Bit... | .venv\Lib\site-packages\numpy\lib\_type_check_impl.pyi | _type_check_impl.pyi | Other | 10,063 | 0.95 | 0.22 | 0.093656 | vue-tools | 311 | 2025-02-14T21:25:16.446258 | Apache-2.0 | false | cabdd77f2c16c8c551e6b27e6a1fc34c |
"""\nModule of functions that are like ufuncs in acting on arrays and optionally\nstoring results in an output array.\n\n"""\n__all__ = ['fix', 'isneginf', 'isposinf']\n\nimport numpy._core.numeric as nx\nfrom numpy._core.overrides import array_function_dispatch\n\n\ndef _dispatcher(x, out=None):\n return (x, out)\n... | .venv\Lib\site-packages\numpy\lib\_ufunclike_impl.py | _ufunclike_impl.py | Python | 6,516 | 0.95 | 0.115942 | 0.017544 | awesome-app | 391 | 2024-03-15T16:40:53.318417 | BSD-3-Clause | false | b4a89db96c9d017f9619a70931889ece |
from typing import Any, TypeVar, overload\n\nimport numpy as np\nfrom numpy import floating, object_\nfrom numpy._typing import (\n NDArray,\n _ArrayLikeFloat_co,\n _ArrayLikeObject_co,\n _FloatLike_co,\n)\n\n__all__ = ["fix", "isneginf", "isposinf"]\n\n_ArrayT = TypeVar("_ArrayT", bound=NDArray[Any])\n\n@o... | .venv\Lib\site-packages\numpy\lib\_ufunclike_impl.pyi | _ufunclike_impl.pyi | Other | 1,355 | 0.95 | 0.149254 | 0 | react-lib | 958 | 2024-10-24T08:35:50.921166 | BSD-3-Clause | false | 221f234dcfd0ec7a50245d650f22d0be |
"""\nContainer class for backward compatibility with NumArray.\n\nThe user_array.container class exists for backward compatibility with NumArray\nand is not meant to be used in new code. If you need to create an array\ncontainer class, we recommend either creating a class that wraps an ndarray\nor subclasses ndarray.\n... | .venv\Lib\site-packages\numpy\lib\_user_array_impl.py | _user_array_impl.py | Python | 7,996 | 0.95 | 0.26087 | 0.030837 | react-lib | 665 | 2025-06-26T11:44:02.400076 | Apache-2.0 | false | a0b4a629273c349a7037a1e9a155901a |
from types import EllipsisType\nfrom typing import Any, Generic, Self, SupportsIndex, TypeAlias, overload\n\nfrom _typeshed import Incomplete\nfrom typing_extensions import TypeVar, override\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import (\n _AnyShape,\n _ArrayLike,\n _ArrayLikeBo... | .venv\Lib\site-packages\numpy\lib\_user_array_impl.pyi | _user_array_impl.pyi | Other | 9,335 | 0.95 | 0.333333 | 0.130208 | node-utils | 591 | 2023-07-17T03:45:26.162038 | Apache-2.0 | false | 77a1260109c4005e9583752b7304bab5 |
import functools\nimport os\nimport platform\nimport sys\nimport textwrap\nimport types\nimport warnings\n\nimport numpy as np\nfrom numpy._core import ndarray\nfrom numpy._utils import set_module\n\n__all__ = [\n 'get_include', 'info', 'show_runtime'\n]\n\n\n@set_module('numpy')\ndef show_runtime():\n """\n P... | .venv\Lib\site-packages\numpy\lib\_utils_impl.py | _utils_impl.py | Python | 24,125 | 0.95 | 0.160462 | 0.054348 | react-lib | 962 | 2024-04-12T23:11:14.212658 | Apache-2.0 | false | a2639d4fce3d62c05da8911108369cc8 |
from _typeshed import SupportsWrite\n\nfrom numpy._typing import DTypeLike\n\n__all__ = ["get_include", "info", "show_runtime"]\n\ndef get_include() -> str: ...\ndef show_runtime() -> None: ...\ndef info(object: object = ..., maxwidth: int = ..., output: SupportsWrite[str] | None = ..., toplevel: str = ...) -> None: ..... | .venv\Lib\site-packages\numpy\lib\_utils_impl.pyi | _utils_impl.pyi | Other | 381 | 0.85 | 0.4 | 0 | python-kit | 221 | 2025-05-03T00:20:56.978760 | Apache-2.0 | false | 27f15d2a9ae7313a19ed0b20c844ab27 |
"""Utility to compare (NumPy) version strings.\n\nThe NumpyVersion class allows properly comparing numpy version strings.\nThe LooseVersion and StrictVersion classes that distutils provides don't\nwork; they don't recognize anything like alpha/beta/rc/dev versions.\n\n"""\nimport re\n\n__all__ = ['NumpyVersion']\n\n\nc... | .venv\Lib\site-packages\numpy\lib\_version.py | _version.py | Python | 5,005 | 0.95 | 0.201299 | 0.01626 | vue-tools | 530 | 2025-03-22T21:03:37.026217 | GPL-3.0 | false | 72f9fe3d8527784a9706ab6463d04fda |
__all__ = ["NumpyVersion"]\n\nclass NumpyVersion:\n vstring: str\n version: str\n major: int\n minor: int\n bugfix: int\n pre_release: str\n is_devversion: bool\n def __init__(self, vstring: str) -> None: ...\n def __lt__(self, other: str | NumpyVersion) -> bool: ...\n def __le__(self, oth... | .venv\Lib\site-packages\numpy\lib\_version.pyi | _version.pyi | Other | 658 | 0.95 | 0.470588 | 0 | vue-tools | 288 | 2025-07-08T01:56:37.841622 | BSD-3-Clause | false | 8bce29b1dc8fa2ece35157afdadad88a |
"""\n``numpy.lib`` is mostly a space for implementing functions that don't\nbelong in core or in another NumPy submodule with a clear purpose\n(e.g. ``random``, ``fft``, ``linalg``, ``ma``).\n\n``numpy.lib``'s private submodules contain basic functions that are used by\nother public modules and are useful to have in th... | .venv\Lib\site-packages\numpy\lib\__init__.py | __init__.py | Python | 3,101 | 0.95 | 0.082474 | 0.069767 | vue-tools | 383 | 2024-05-14T08:04:35.447261 | MIT | false | 8fe8b00b65c229c3505603235511f601 |
from numpy._core.function_base import add_newdoc\nfrom numpy._core.multiarray import add_docstring, tracemalloc_domain\n\n# all submodules of `lib` are accessible at runtime through `__getattr__`,\n# so we implicitly re-export them here\nfrom . import _array_utils_impl as _array_utils_impl\nfrom . import _arraypad_impl... | .venv\Lib\site-packages\numpy\lib\__init__.pyi | __init__.pyi | Other | 1,695 | 0.95 | 0 | 0.047619 | vue-tools | 442 | 2024-09-22T14:35:31.071514 | Apache-2.0 | false | cddfd62bb23ed6d37e8960678dfe4355 |
"""Tests for the array padding functions.\n\n"""\nimport pytest\n\nimport numpy as np\nfrom numpy.lib._arraypad_impl import _as_pairs\nfrom numpy.testing import assert_allclose, assert_array_equal, assert_equal\n\n_numeric_dtypes = (\n np._core.sctypes["uint"]\n + np._core.sctypes["int"]\n + np._core.sctypes["... | .venv\Lib\site-packages\numpy\lib\tests\test_arraypad.py | test_arraypad.py | Python | 57,570 | 0.75 | 0.09258 | 0.017213 | react-lib | 429 | 2024-12-08T21:21:10.677200 | BSD-3-Clause | true | 7ceada4e32f033ed143f9aa75e1a2a00 |
"""Test functions for 1D array set operations.\n\n"""\nimport pytest\n\nimport numpy as np\nfrom numpy import ediff1d, intersect1d, isin, setdiff1d, setxor1d, union1d, unique\nfrom numpy.exceptions import AxisError\nfrom numpy.testing import (\n assert_array_equal,\n assert_equal,\n assert_raises,\n assert_... | .venv\Lib\site-packages\numpy\lib\tests\test_arraysetops.py | test_arraysetops.py | Python | 41,519 | 0.95 | 0.10987 | 0.091703 | python-kit | 167 | 2024-01-16T10:15:12.506368 | Apache-2.0 | true | 048501a9659b6293ac2e548d7a6b3b6d |
from functools import reduce\nfrom operator import mul\n\nimport numpy as np\nfrom numpy.lib import Arrayterator\nfrom numpy.random import randint\nfrom numpy.testing import assert_\n\n\ndef test():\n np.random.seed(np.arange(10))\n\n # Create a random array\n ndims = randint(5) + 1\n shape = tuple(randint(... | .venv\Lib\site-packages\numpy\lib\tests\test_arrayterator.py | test_arrayterator.py | Python | 1,347 | 0.95 | 0.173913 | 0.2 | awesome-app | 839 | 2024-04-07T19:47:36.484572 | GPL-3.0 | true | 300e63a788c3f4058752bcdbfc39cedc |
import numpy as np\nfrom numpy.lib import array_utils\nfrom numpy.testing import assert_equal\n\n\nclass TestByteBounds:\n def test_byte_bounds(self):\n # pointer difference matches size * itemsize\n # due to contiguity\n a = np.arange(12).reshape(3, 4)\n low, high = array_utils.byte_boun... | .venv\Lib\site-packages\numpy\lib\tests\test_array_utils.py | test_array_utils.py | Python | 1,150 | 0.95 | 0.1875 | 0.148148 | node-utils | 248 | 2024-08-06T10:22:22.081342 | Apache-2.0 | true | 0f0a4c924874dd153c8799d44e35bf76 |
# doctest\nr''' Test the .npy file format.\n\nSet up:\n\n >>> import sys\n >>> from io import BytesIO\n >>> from numpy.lib import format\n >>>\n >>> scalars = [\n ... np.uint8,\n ... np.int8,\n ... np.uint16,\n ... np.int16,\n ... np.uint32,\n ... np.int32,\n ... | .venv\Lib\site-packages\numpy\lib\tests\test_format.py | test_format.py | Python | 43,010 | 0.95 | 0.077799 | 0.08306 | vue-tools | 850 | 2023-12-16T04:32:22.083783 | MIT | true | a530290e6c9811de9b71745e29c998f9 |
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