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# pyright: reportIncompatibleMethodOverride=false\n# ruff: noqa: ANN001, ANN002, ANN003, ANN201, ANN202 ANN204, ANN401\n\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Self, SupportsIndex, TypeAlias, overload\n\nfrom _typeshed import Incomplete\nfrom typing_extensions import TypeIs, TypeVar\n\n... | .venv\Lib\site-packages\numpy\ma\core.pyi | core.pyi | Other | 41,921 | 0.95 | 0.216826 | 0.043447 | node-utils | 639 | 2025-05-23T15:36:27.364172 | MIT | false | d774717a75ef5d8871eab0bc7fc75c90 |
"""\nMasked arrays add-ons.\n\nA collection of utilities for `numpy.ma`.\n\n:author: Pierre Gerard-Marchant\n:contact: pierregm_at_uga_dot_edu\n\n"""\n__all__ = [\n 'apply_along_axis', 'apply_over_axes', 'atleast_1d', 'atleast_2d',\n 'atleast_3d', 'average', 'clump_masked', 'clump_unmasked', 'column_stack',\n ... | .venv\Lib\site-packages\numpy\ma\extras.py | extras.py | Python | 73,024 | 0.75 | 0.123294 | 0.04557 | awesome-app | 135 | 2023-08-01T02:40:19.479964 | Apache-2.0 | false | 5191cd3f7284a78e03b63bc2b1eaa952 |
from _typeshed import Incomplete\n\nimport numpy as np\nfrom numpy.lib._function_base_impl import average\nfrom numpy.lib._index_tricks_impl import AxisConcatenator\n\nfrom .core import MaskedArray, dot\n\n__all__ = [\n "apply_along_axis",\n "apply_over_axes",\n "atleast_1d",\n "atleast_2d",\n "atleast_3... | .venv\Lib\site-packages\numpy\ma\extras.pyi | extras.pyi | Other | 3,928 | 0.95 | 0.350746 | 0.008547 | node-utils | 0 | 2024-12-01T06:51:58.057769 | MIT | false | d1187e8d7d671789d20c3c405c2411cf |
* Copyright (c) 2006, University of Georgia and Pierre G.F. Gerard-Marchant\n* All rights reserved.\n* Redistribution and use in source and binary forms, with or without\n* modification, are permitted provided that the following conditions are met:\n*\n* * Redistributions of source code must retain the above copyri... | .venv\Lib\site-packages\numpy\ma\LICENSE | LICENSE | Other | 1,616 | 0.7 | 0 | 1 | node-utils | 90 | 2024-11-20T19:22:58.462194 | GPL-3.0 | false | 560a44ba225da50f5d488426818c8474 |
""":mod:`numpy.ma..mrecords`\n\nDefines the equivalent of :class:`numpy.recarrays` for masked arrays,\nwhere fields can be accessed as attributes.\nNote that :class:`numpy.ma.MaskedArray` already supports structured datatypes\nand the masking of individual fields.\n\n.. moduleauthor:: Pierre Gerard-Marchant\n\n"""\n# ... | .venv\Lib\site-packages\numpy\ma\mrecords.py | mrecords.py | Python | 27,846 | 0.95 | 0.192755 | 0.104634 | vue-tools | 761 | 2025-03-31T20:03:28.997035 | MIT | false | 3ae018cad2f20298d542ab56af3b8e1c |
from typing import Any, TypeVar\n\nfrom numpy import dtype\n\nfrom . import MaskedArray\n\n__all__ = [\n "MaskedRecords",\n "mrecarray",\n "fromarrays",\n "fromrecords",\n "fromtextfile",\n "addfield",\n]\n\n_ShapeT_co = TypeVar("_ShapeT_co", covariant=True, bound=tuple[int, ...])\n_DTypeT_co = TypeVa... | .venv\Lib\site-packages\numpy\ma\mrecords.pyi | mrecords.pyi | Other | 2,069 | 0.95 | 0.208333 | 0.034884 | react-lib | 727 | 2025-04-17T21:22:56.970089 | Apache-2.0 | false | b3a0f750a5aa1e49ba895f405609e379 |
==================================\nA guide to masked arrays in NumPy\n==================================\n\n.. Contents::\n\nSee http://www.scipy.org/scipy/numpy/wiki/MaskedArray (dead link)\nfor updates of this document.\n\n\nHistory\n-------\n\nAs a regular user of MaskedArray, I (Pierre G.F. Gerard-Marchant) became... | .venv\Lib\site-packages\numpy\ma\README.rst | README.rst | Other | 10,110 | 0.95 | 0.144068 | 0.141304 | awesome-app | 788 | 2025-03-05T10:15:39.737847 | BSD-3-Clause | false | 583d4eb4a51d72e84a0c5064af3d0c44 |
"""Miscellaneous functions for testing masked arrays and subclasses\n\n:author: Pierre Gerard-Marchant\n:contact: pierregm_at_uga_dot_edu\n\n"""\nimport operator\n\nimport numpy as np\nimport numpy._core.umath as umath\nimport numpy.testing\nfrom numpy import ndarray\nfrom numpy.testing import ( # noqa: F401\n asse... | .venv\Lib\site-packages\numpy\ma\testutils.py | testutils.py | Python | 10,529 | 0.95 | 0.173469 | 0.038627 | react-lib | 481 | 2024-03-01T19:04:26.745681 | Apache-2.0 | true | 1e1b2913676a102db9b1664b3c5ab552 |
"""\n=============\nMasked Arrays\n=============\n\nArrays sometimes contain invalid or missing data. When doing operations\non such arrays, we wish to suppress invalid values, which is the purpose masked\narrays fulfill (an example of typical use is given below).\n\nFor example, examine the following array:\n\n>>> x ... | .venv\Lib\site-packages\numpy\ma\__init__.py | __init__.py | Python | 1,459 | 0.85 | 0.018868 | 0 | awesome-app | 965 | 2023-10-26T15:19:00.355432 | Apache-2.0 | false | 6922504978ebdd8a0a467e7cb05d4862 |
from . import core, extras\nfrom .core import (\n MAError,\n MaskedArray,\n MaskError,\n MaskType,\n abs,\n absolute,\n add,\n all,\n allclose,\n allequal,\n alltrue,\n amax,\n amin,\n angle,\n anom,\n anomalies,\n any,\n append,\n arange,\n arccos,\n arcco... | .venv\Lib\site-packages\numpy\ma\__init__.pyi | __init__.pyi | Other | 7,404 | 0.85 | 0 | 0 | react-lib | 664 | 2025-03-04T07:08:26.168106 | BSD-3-Clause | false | 1c28ee5c05d8e1876c73bca6600d623e |
import pytest\n\nimport numpy as np\nfrom numpy.ma import masked_array\nfrom numpy.testing import assert_array_equal\n\n\ndef test_matrix_transpose_raises_error_for_1d():\n msg = "matrix transpose with ndim < 2 is undefined"\n ma_arr = masked_array(data=[1, 2, 3, 4, 5, 6],\n mask=[1, 0, 1... | .venv\Lib\site-packages\numpy\ma\tests\test_arrayobject.py | test_arrayobject.py | Python | 1,139 | 0.85 | 0.075 | 0 | react-lib | 315 | 2024-06-20T00:44:00.362011 | BSD-3-Clause | true | 45774d88d0f34efd5992b1ed35e65564 |
"""Test deprecation and future warnings.\n\n"""\nimport io\nimport textwrap\n\nimport pytest\n\nimport numpy as np\nfrom numpy.ma.core import MaskedArrayFutureWarning\nfrom numpy.ma.testutils import assert_equal\nfrom numpy.testing import assert_warns\n\n\nclass TestArgsort:\n """ gh-8701 """\n def _test_base(sel... | .venv\Lib\site-packages\numpy\ma\tests\test_deprecations.py | test_deprecations.py | Python | 2,656 | 0.95 | 0.126437 | 0.095238 | react-lib | 645 | 2024-12-30T04:15:49.946273 | Apache-2.0 | true | 8576db1312798f04a74011e11ee04b59 |
"""Tests suite for MaskedArray.\nAdapted from the original test_ma by Pierre Gerard-Marchant\n\n:author: Pierre Gerard-Marchant\n:contact: pierregm_at_uga_dot_edu\n\n"""\nimport itertools\nimport warnings\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.numeric import normalize_axis_tuple\nfrom numpy.ma.core im... | .venv\Lib\site-packages\numpy\ma\tests\test_extras.py | test_extras.py | Python | 80,433 | 0.75 | 0.081582 | 0.098324 | vue-tools | 181 | 2024-03-02T00:10:30.917230 | GPL-3.0 | true | 3bfed528dec04314a237b36514219711 |
"""Tests suite for mrecords.\n\n:author: Pierre Gerard-Marchant\n:contact: pierregm_at_uga_dot_edu\n\n"""\nimport pickle\n\nimport numpy as np\nimport numpy.ma as ma\nfrom numpy._core.records import fromarrays as recfromarrays\nfrom numpy._core.records import fromrecords as recfromrecords\nfrom numpy._core.records impo... | .venv\Lib\site-packages\numpy\ma\tests\test_mrecords.py | test_mrecords.py | Python | 20,391 | 0.95 | 0.076459 | 0.105145 | vue-tools | 405 | 2024-05-15T18:57:20.089469 | BSD-3-Clause | true | 6986e7d6be178aaf6e6392f3c9b370ef |
import pickle\nfrom functools import reduce\n\nimport pytest\n\nimport numpy as np\nimport numpy._core.fromnumeric as fromnumeric\nimport numpy._core.umath as umath\nfrom numpy.ma import (\n MaskedArray,\n MaskType,\n absolute,\n add,\n all,\n allclose,\n allequal,\n alltrue,\n arange,\n a... | .venv\Lib\site-packages\numpy\ma\tests\test_old_ma.py | test_old_ma.py | Python | 33,960 | 0.95 | 0.072187 | 0.034602 | python-kit | 653 | 2024-10-26T22:52:54.924185 | GPL-3.0 | true | c5ad3013be4adc4b853a23fd0348ebdc |
import numpy as np\nfrom numpy.testing import (\n assert_,\n assert_allclose,\n assert_array_equal,\n suppress_warnings,\n)\n\n\nclass TestRegression:\n def test_masked_array_create(self):\n # Ticket #17\n x = np.ma.masked_array([0, 1, 2, 3, 0, 4, 5, 6],\n mask... | .venv\Lib\site-packages\numpy\ma\tests\test_regression.py | test_regression.py | Python | 3,403 | 0.95 | 0.15 | 0.188235 | awesome-app | 678 | 2024-12-09T22:33:23.788541 | MIT | true | 2d5bb9984db58ab8eb9a5314e1cd7f5f |
"""Tests suite for MaskedArray & subclassing.\n\n:author: Pierre Gerard-Marchant\n:contact: pierregm_at_uga_dot_edu\n\n"""\nimport numpy as np\nfrom numpy.lib.mixins import NDArrayOperatorsMixin\nfrom numpy.ma.core import (\n MaskedArray,\n add,\n arange,\n array,\n asanyarray,\n asarray,\n divide,... | .venv\Lib\site-packages\numpy\ma\tests\test_subclassing.py | test_subclassing.py | Python | 17,405 | 0.95 | 0.162047 | 0.145408 | awesome-app | 140 | 2023-08-22T23:58:53.244064 | BSD-3-Clause | true | 1e7a38b6cb7e3e5e4e4d7c173eee786b |
\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\test_arrayobject.cpython-313.pyc | test_arrayobject.cpython-313.pyc | Other | 2,221 | 0.8 | 0 | 0.064516 | vue-tools | 407 | 2024-04-14T11:06:38.012140 | MIT | true | 16ca1bb643f5baa7b0096ef1006827a3 |
\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\test_deprecations.cpython-313.pyc | test_deprecations.cpython-313.pyc | Other | 4,863 | 0.95 | 0 | 0 | awesome-app | 149 | 2025-06-13T01:51:49.806603 | BSD-3-Clause | true | c60db4ec686f95b310ca12e7df730e59 |
\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\test_mrecords.cpython-313.pyc | test_mrecords.cpython-313.pyc | Other | 30,424 | 0.8 | 0.004348 | 0 | awesome-app | 413 | 2024-03-13T06:46:29.090205 | Apache-2.0 | true | 8bcd5b3d35701e723790f3247c2afa9e |
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\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\test_regression.cpython-313.pyc | test_regression.cpython-313.pyc | Other | 7,464 | 0.8 | 0 | 0.022222 | python-kit | 385 | 2024-04-30T06:10:45.813577 | GPL-3.0 | true | 4c27ef4363743cc5f817357dce6a6e42 |
\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\test_subclassing.cpython-313.pyc | test_subclassing.cpython-313.pyc | Other | 27,816 | 0.95 | 0.013393 | 0 | node-utils | 423 | 2024-05-19T06:29:40.072351 | GPL-3.0 | true | 906d3e82d0cc6eda7778de90897f5e72 |
\n\n | .venv\Lib\site-packages\numpy\ma\tests\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 189 | 0.7 | 0 | 0 | node-utils | 692 | 2024-06-21T03:43:36.550880 | GPL-3.0 | true | 33eefbbada4ad432b0a431bef5a7e423 |
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\n\n | .venv\Lib\site-packages\numpy\ma\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 1,679 | 0.7 | 0.022222 | 0 | node-utils | 911 | 2024-07-10T21:22:11.145824 | BSD-3-Clause | false | f118b42f1fa0853bc429e9c56b283f62 |
__all__ = ['matrix', 'bmat', 'asmatrix']\n\nimport ast\nimport sys\nimport warnings\n\nimport numpy._core.numeric as N\nfrom numpy._core.numeric import concatenate, isscalar\nfrom numpy._utils import set_module\n\n# While not in __all__, matrix_power used to be defined here, so we import\n# it for backward compatibilit... | .venv\Lib\site-packages\numpy\matrixlib\defmatrix.py | defmatrix.py | Python | 31,994 | 0.95 | 0.111707 | 0.014024 | awesome-app | 689 | 2025-02-02T00:43:23.205086 | Apache-2.0 | false | c7854566aa25ea2dbac2b9004b6e8b44 |
from collections.abc import Mapping, Sequence\nfrom typing import Any\n\nfrom numpy import matrix\nfrom numpy._typing import ArrayLike, DTypeLike, NDArray\n\n__all__ = ["asmatrix", "bmat", "matrix"]\n\ndef bmat(\n obj: str | Sequence[ArrayLike] | NDArray[Any],\n ldict: Mapping[str, Any] | None = ...,\n gdict: ... | .venv\Lib\site-packages\numpy\matrixlib\defmatrix.pyi | defmatrix.pyi | Other | 495 | 0.85 | 0.117647 | 0 | react-lib | 368 | 2024-10-20T13:46:26.433772 | GPL-3.0 | false | 92bd4260b37ec6d87fd2e5abc58dd017 |
"""Sub-package containing the matrix class and related functions.\n\n"""\nfrom . import defmatrix\nfrom .defmatrix import *\n\n__all__ = defmatrix.__all__\n\nfrom numpy._pytesttester import PytestTester\n\ntest = PytestTester(__name__)\ndel PytestTester\n | .venv\Lib\site-packages\numpy\matrixlib\__init__.py | __init__.py | Python | 255 | 0.85 | 0.083333 | 0 | node-utils | 755 | 2024-01-01T14:52:02.958794 | MIT | false | 7d994df4df45924c064760bd0e6201bf |
from numpy import matrix\n\nfrom .defmatrix import asmatrix, bmat\n\n__all__ = ["matrix", "bmat", "asmatrix"]\n | .venv\Lib\site-packages\numpy\matrixlib\__init__.pyi | __init__.pyi | Other | 111 | 0.85 | 0 | 0 | react-lib | 391 | 2023-11-06T15:23:41.953782 | BSD-3-Clause | false | ab72d00833d0dddaaf8f839d7e931c66 |
import collections.abc\n\nimport numpy as np\nfrom numpy import asmatrix, bmat, matrix\nfrom numpy.linalg import matrix_power\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_array_almost_equal,\n assert_array_equal,\n assert_equal,\n assert_raises,\n)\n\n\nclass TestCtor:\n ... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_defmatrix.py | test_defmatrix.py | Python | 15,432 | 0.95 | 0.12967 | 0.015915 | vue-tools | 712 | 2024-03-29T02:05:14.021606 | Apache-2.0 | true | c9c411c8ac37b1bbd5b80b56ef470f46 |
"""Tests of interaction of matrix with other parts of numpy.\n\nNote that tests with MaskedArray and linalg are done in separate files.\n"""\nimport textwrap\nimport warnings\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_array_almost_equal,\n ... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_interaction.py | test_interaction.py | Python | 12,234 | 0.95 | 0.108333 | 0.176471 | node-utils | 167 | 2024-08-12T19:12:48.533614 | Apache-2.0 | true | 025a7c881eb4bbd55f4e46af0dd94604 |
import pickle\n\nimport numpy as np\nfrom numpy.ma.core import (\n MaskedArray,\n MaskType,\n add,\n allequal,\n divide,\n getmask,\n hypot,\n log,\n masked,\n masked_array,\n masked_values,\n nomask,\n)\nfrom numpy.ma.extras import mr_\nfrom numpy.ma.testutils import assert_, assert... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_masked_matrix.py | test_masked_matrix.py | Python | 9,027 | 0.95 | 0.1125 | 0.109524 | vue-tools | 898 | 2024-10-13T16:21:52.616291 | BSD-3-Clause | true | 24e6b6e466f8debcc3ae31bfecb44c88 |
""" Test functions for linalg module using the matrix class."""\nimport numpy as np\nfrom numpy.linalg.tests.test_linalg import (\n CondCases,\n DetCases,\n EigCases,\n EigvalsCases,\n InvCases,\n LinalgCase,\n LinalgTestCase,\n LstsqCases,\n PinvCases,\n SolveCases,\n SVDCases,\n _T... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_matrix_linalg.py | test_matrix_linalg.py | Python | 2,254 | 0.95 | 0.171429 | 0.041667 | python-kit | 747 | 2023-07-18T01:45:01.274625 | Apache-2.0 | true | 3bebae6b4bf742c5f8ae613982863255 |
import numpy as np\nfrom numpy.testing import assert_, assert_array_equal, assert_equal\n\n\nclass TestView:\n def test_type(self):\n x = np.array([1, 2, 3])\n assert_(isinstance(x.view(np.matrix), np.matrix))\n\n def test_keywords(self):\n x = np.array([(1, 2)], dtype=[('a', np.int8), ('b', ... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_multiarray.py | test_multiarray.py | Python | 572 | 0.95 | 0.176471 | 0.076923 | node-utils | 734 | 2024-07-16T13:13:26.665435 | MIT | true | 95190713fe73f389a32174dca27eae37 |
import numpy as np\nfrom numpy.testing import assert_equal\n\n\nclass TestDot:\n def test_matscalar(self):\n b1 = np.matrix(np.ones((3, 3), dtype=complex))\n assert_equal(b1 * 1.0, b1)\n\n\ndef test_diagonal():\n b1 = np.matrix([[1, 2], [3, 4]])\n diag_b1 = np.matrix([[1, 4]])\n array_b1 = np.... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_numeric.py | test_numeric.py | Python | 465 | 0.85 | 0.166667 | 0 | python-kit | 137 | 2023-09-08T21:52:24.939710 | GPL-3.0 | true | b91a5777e2f4e1e9e65714ac1be0411d |
import numpy as np\nfrom numpy.testing import assert_, assert_equal, assert_raises\n\n\nclass TestRegression:\n def test_kron_matrix(self):\n # Ticket #71\n x = np.matrix('[1 0; 1 0]')\n assert_equal(type(np.kron(x, x)), type(x))\n\n def test_matrix_properties(self):\n # Ticket #125\n ... | .venv\Lib\site-packages\numpy\matrixlib\tests\test_regression.py | test_regression.py | Python | 965 | 0.95 | 0.193548 | 0.16 | python-kit | 750 | 2023-08-23T17:27:21.994511 | GPL-3.0 | true | 12ae70eea7f2740c625ff7cd9a478083 |
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\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_interaction.cpython-313.pyc | test_interaction.cpython-313.pyc | Other | 21,476 | 0.95 | 0 | 0.022346 | awesome-app | 274 | 2024-11-18T02:36:21.351106 | BSD-3-Clause | true | 1d5606e08fdd552f62ec6d25b85609f0 |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_masked_matrix.cpython-313.pyc | test_masked_matrix.cpython-313.pyc | Other | 16,631 | 0.8 | 0 | 0.014706 | awesome-app | 893 | 2024-10-27T16:01:59.688700 | Apache-2.0 | true | c65afc3ab284885dba36b75eedabbfd7 |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_matrix_linalg.cpython-313.pyc | test_matrix_linalg.cpython-313.pyc | Other | 4,586 | 0.95 | 0.057143 | 0 | awesome-app | 403 | 2025-01-30T11:18:27.139702 | BSD-3-Clause | true | 6d268b9e05ab7fdf226cc320aac87d78 |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_multiarray.cpython-313.pyc | test_multiarray.cpython-313.pyc | Other | 1,664 | 0.7 | 0 | 0 | node-utils | 794 | 2024-01-19T15:29:38.462231 | Apache-2.0 | true | a5a4cbee306fc9b2f2c392ea2a0c0dbf |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_numeric.cpython-313.pyc | test_numeric.cpython-313.pyc | Other | 1,490 | 0.8 | 0 | 0 | react-lib | 473 | 2025-02-27T14:46:08.680609 | Apache-2.0 | true | b407e76c4041781876d05c076acae4b8 |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\tests\__pycache__\test_regression.cpython-313.pyc | test_regression.cpython-313.pyc | Other | 2,891 | 0.8 | 0 | 0 | vue-tools | 120 | 2025-04-11T05:49:37.882335 | Apache-2.0 | true | afbcf54f41579a88d58ef3f9539ee966 |
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\n\n | .venv\Lib\site-packages\numpy\matrixlib\__pycache__\defmatrix.cpython-313.pyc | defmatrix.cpython-313.pyc | Other | 31,626 | 0.95 | 0.044419 | 0 | react-lib | 729 | 2024-01-12T05:07:52.974915 | MIT | false | 2d9af5c69288b99d8630c6dbfce8907c |
\n\n | .venv\Lib\site-packages\numpy\matrixlib\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 484 | 0.85 | 0.142857 | 0 | python-kit | 426 | 2024-01-26T05:13:48.196904 | BSD-3-Clause | false | ecee9bbc07dd076e601596b231125bad |
"""\n====================================================\nChebyshev Series (:mod:`numpy.polynomial.chebyshev`)\n====================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with Chebyshev series, including a `Chebyshev` class that\nencapsulates... | .venv\Lib\site-packages\numpy\polynomial\chebyshev.py | chebyshev.py | Python | 64,325 | 0.75 | 0.091363 | 0.022741 | node-utils | 957 | 2024-12-19T18:47:06.189735 | MIT | false | 5e6fa3d7ef2fc0ef005df2ad2259eac7 |
from collections.abc import Callable, Iterable\nfrom typing import Any, Concatenate, Final, Self, TypeVar, overload\nfrom typing import Literal as L\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _IntLike_co\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n ... | .venv\Lib\site-packages\numpy\polynomial\chebyshev.pyi | chebyshev.pyi | Other | 4,968 | 0.95 | 0.071823 | 0.011628 | node-utils | 496 | 2023-10-14T18:31:56.476025 | MIT | false | da85e6bb2dd48461d0ba968704a307d7 |
"""\n==============================================================\nHermite Series, "Physicists" (:mod:`numpy.polynomial.hermite`)\n==============================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with Hermite series, including a `Hermite... | .venv\Lib\site-packages\numpy\polynomial\hermite.py | hermite.py | Python | 56,343 | 0.75 | 0.084483 | 0.019816 | react-lib | 763 | 2025-05-16T18:38:16.289584 | GPL-3.0 | false | 01074bfc4d08093a4ce2b566cc813a87 |
from typing import Any, Final, TypeVar\nfrom typing import Literal as L\n\nimport numpy as np\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n _Array2,\n _FuncBinOp,\n _FuncCompanion,\n _FuncDer,\n _FuncFit,\n _FuncFromRoots,\n _FuncGauss,\n _FuncInteg,\n _Func... | .venv\Lib\site-packages\numpy\polynomial\hermite.pyi | hermite.pyi | Other | 2,570 | 0.85 | 0.018692 | 0 | vue-tools | 421 | 2024-12-29T22:45:04.897465 | Apache-2.0 | false | 403e9a6519209f448b5652b2c72c1f33 |
"""\n===================================================================\nHermiteE Series, "Probabilists" (:mod:`numpy.polynomial.hermite_e`)\n===================================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with Hermite_e series, inc... | .venv\Lib\site-packages\numpy\polynomial\hermite_e.py | hermite_e.py | Python | 53,947 | 0.75 | 0.089525 | 0.02099 | python-kit | 417 | 2024-03-31T16:40:41.396472 | MIT | false | f58c17989254578f244dabc6dd1f1dc5 |
from typing import Any, Final, TypeVar\nfrom typing import Literal as L\n\nimport numpy as np\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n _Array2,\n _FuncBinOp,\n _FuncCompanion,\n _FuncDer,\n _FuncFit,\n _FuncFromRoots,\n _FuncGauss,\n _FuncInteg,\n _Func... | .venv\Lib\site-packages\numpy\polynomial\hermite_e.pyi | hermite_e.pyi | Other | 2,662 | 0.85 | 0.018692 | 0 | react-lib | 885 | 2024-04-14T14:48:56.314884 | MIT | false | 92320443330c4090e677a819fcea809a |
"""\n==================================================\nLaguerre Series (:mod:`numpy.polynomial.laguerre`)\n==================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with Laguerre series, including a `Laguerre` class that\nencapsulates the usu... | .venv\Lib\site-packages\numpy\polynomial\laguerre.py | laguerre.py | Python | 54,149 | 0.75 | 0.08 | 0.020588 | python-kit | 240 | 2025-03-05T20:57:25.561182 | Apache-2.0 | false | 4175de8331b4ec4a4ece2401542dc092 |
from typing import Final\nfrom typing import Literal as L\n\nimport numpy as np\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n _Array2,\n _FuncBinOp,\n _FuncCompanion,\n _FuncDer,\n _FuncFit,\n _FuncFromRoots,\n _FuncGauss,\n _FuncInteg,\n _FuncLine,\n _Fu... | .venv\Lib\site-packages\numpy\polynomial\laguerre.pyi | laguerre.pyi | Other | 2,291 | 0.85 | 0.01 | 0 | python-kit | 268 | 2025-01-20T08:15:22.713079 | BSD-3-Clause | false | 998b4cb6d1498a3278cc8c59ac3bc655 |
"""\n==================================================\nLegendre Series (:mod:`numpy.polynomial.legendre`)\n==================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with Legendre series, including a `Legendre` class that\nencapsulates the usu... | .venv\Lib\site-packages\numpy\polynomial\legendre.py | legendre.py | Python | 52,734 | 0.75 | 0.086604 | 0.023006 | node-utils | 235 | 2024-05-03T02:43:37.546516 | GPL-3.0 | false | 6b11a990b86530e221b2895a1f4ff0b4 |
from typing import Final\nfrom typing import Literal as L\n\nimport numpy as np\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n _Array2,\n _FuncBinOp,\n _FuncCompanion,\n _FuncDer,\n _FuncFit,\n _FuncFromRoots,\n _FuncGauss,\n _FuncInteg,\n _FuncLine,\n _Fu... | .venv\Lib\site-packages\numpy\polynomial\legendre.pyi | legendre.pyi | Other | 2,291 | 0.85 | 0.01 | 0 | python-kit | 895 | 2023-08-07T13:23:49.975564 | BSD-3-Clause | false | 9cb7f65714f22fa0d1dd962da36e98e4 |
"""\n=================================================\nPower Series (:mod:`numpy.polynomial.polynomial`)\n=================================================\n\nThis module provides a number of objects (mostly functions) useful for\ndealing with polynomials, including a `Polynomial` class that\nencapsulates the usual ar... | .venv\Lib\site-packages\numpy\polynomial\polynomial.py | polynomial.py | Python | 53,812 | 0.75 | 0.084158 | 0.02187 | react-lib | 279 | 2025-06-02T12:07:23.330085 | BSD-3-Clause | false | dd5ce63c673cd82ec678f82736f6a854 |
from typing import Final\nfrom typing import Literal as L\n\nimport numpy as np\n\nfrom ._polybase import ABCPolyBase\nfrom ._polytypes import (\n _Array1,\n _Array2,\n _FuncBinOp,\n _FuncCompanion,\n _FuncDer,\n _FuncFit,\n _FuncFromRoots,\n _FuncInteg,\n _FuncLine,\n _FuncPow,\n _Func... | .venv\Lib\site-packages\numpy\polynomial\polynomial.pyi | polynomial.pyi | Other | 2,110 | 0.85 | 0.011236 | 0 | node-utils | 467 | 2025-01-04T20:49:08.232589 | MIT | false | 59eb8b18529fd22a1b076942d4667f7e |
"""\nUtility classes and functions for the polynomial modules.\n\nThis module provides: error and warning objects; a polynomial base class;\nand some routines used in both the `polynomial` and `chebyshev` modules.\n\nFunctions\n---------\n\n.. autosummary::\n :toctree: generated/\n\n as_series convert list of ar... | .venv\Lib\site-packages\numpy\polynomial\polyutils.py | polyutils.py | Python | 23,416 | 0.95 | 0.175231 | 0.036278 | python-kit | 721 | 2024-02-20T04:31:09.841171 | GPL-3.0 | false | bcd8df9b71846bb21117212f4d2e4b1d |
from collections.abc import Callable, Iterable, Sequence\nfrom typing import (\n Final,\n Literal,\n SupportsIndex,\n TypeAlias,\n TypeVar,\n overload,\n)\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import (\n _ArrayLikeComplex_co,\n _ArrayLikeFloat_co,\n _FloatLike_... | .venv\Lib\site-packages\numpy\polynomial\polyutils.pyi | polyutils.pyi | Other | 10,658 | 0.95 | 0.13948 | 0.012376 | node-utils | 700 | 2025-04-16T04:24:25.921200 | GPL-3.0 | false | fe6bdf224621db2498ec8daa751608c9 |
"""\nAbstract base class for the various polynomial Classes.\n\nThe ABCPolyBase class provides the methods needed to implement the common API\nfor the various polynomial classes. It operates as a mixin, but uses the\nabc module from the stdlib, hence it is only available for Python >= 2.6.\n\n"""\nimport abc\nimport nu... | .venv\Lib\site-packages\numpy\polynomial\_polybase.py | _polybase.py | Python | 40,549 | 0.95 | 0.18136 | 0.040241 | vue-tools | 530 | 2024-12-12T16:42:06.481126 | BSD-3-Clause | false | 3549f3b4bb55a37647984a2e6776a944 |
import abc\nimport decimal\nimport numbers\nfrom collections.abc import Iterator, Mapping, Sequence\nfrom typing import (\n Any,\n ClassVar,\n Generic,\n Literal,\n LiteralString,\n Self,\n SupportsIndex,\n TypeAlias,\n overload,\n)\n\nfrom typing_extensions import TypeIs, TypeVar\n\nimport n... | .venv\Lib\site-packages\numpy\polynomial\_polybase.pyi | _polybase.pyi | Other | 8,472 | 0.95 | 0.214035 | 0.015504 | react-lib | 590 | 2024-02-09T07:24:37.390896 | BSD-3-Clause | false | cebde57278ac21f44af6e5f682bea385 |
# ruff: noqa: PYI046, PYI047\n\nfrom collections.abc import Callable, Sequence\nfrom typing import (\n Any,\n Literal,\n LiteralString,\n NoReturn,\n Protocol,\n Self,\n SupportsIndex,\n SupportsInt,\n TypeAlias,\n TypeVar,\n overload,\n type_check_only,\n)\n\nimport numpy as np\nimp... | .venv\Lib\site-packages\numpy\polynomial\_polytypes.pyi | _polytypes.pyi | Other | 23,274 | 0.95 | 0.14574 | 0.017773 | node-utils | 272 | 2025-01-11T11:27:17.950881 | BSD-3-Clause | false | 65ae25a87a258cc70d342ff378fbddc1 |
"""\nA sub-package for efficiently dealing with polynomials.\n\nWithin the documentation for this sub-package, a "finite power series,"\ni.e., a polynomial (also referred to simply as a "series") is represented\nby a 1-D numpy array of the polynomial's coefficients, ordered from lowest\norder term to highest. For exam... | .venv\Lib\site-packages\numpy\polynomial\__init__.py | __init__.py | Python | 6,913 | 0.95 | 0.149733 | 0.006452 | node-utils | 384 | 2024-12-13T03:07:34.869111 | GPL-3.0 | false | 665c38237cac093a51c4ab2b734fa659 |
from typing import Final, Literal\n\nfrom . import chebyshev, hermite, hermite_e, laguerre, legendre, polynomial\nfrom .chebyshev import Chebyshev\nfrom .hermite import Hermite\nfrom .hermite_e import HermiteE\nfrom .laguerre import Laguerre\nfrom .legendre import Legendre\nfrom .polynomial import Polynomial\n\n__all__... | .venv\Lib\site-packages\numpy\polynomial\__init__.pyi | __init__.pyi | Other | 713 | 0.85 | 0.04 | 0 | awesome-app | 759 | 2024-07-26T23:00:54.523472 | BSD-3-Clause | false | 9f8ff8c5548e7c0c4ddf43f92c579f4b |
"""Tests for chebyshev module.\n\n"""\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.chebyshev as cheb\nfrom numpy.polynomial.polynomial import polyval\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\n\ndef trim(x):\n retu... | .venv\Lib\site-packages\numpy\polynomial\tests\test_chebyshev.py | test_chebyshev.py | Python | 21,273 | 0.95 | 0.186196 | 0.114398 | vue-tools | 719 | 2024-04-06T08:14:00.453497 | MIT | true | 5456674811bcd2af436cf3c0ef10bdbd |
"""Test inter-conversion of different polynomial classes.\n\nThis tests the convert and cast methods of all the polynomial classes.\n\n"""\nimport operator as op\nfrom numbers import Number\n\nimport pytest\n\nimport numpy as np\nfrom numpy.exceptions import RankWarning\nfrom numpy.polynomial import (\n Chebyshev,\n... | .venv\Lib\site-packages\numpy\polynomial\tests\test_classes.py | test_classes.py | Python | 19,170 | 0.95 | 0.10356 | 0.085271 | node-utils | 994 | 2024-09-28T19:51:11.453861 | Apache-2.0 | true | 7fcbcb38f4b422cdaf02d03dfc7e0898 |
"""Tests for hermite module.\n\n"""\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.hermite as herm\nfrom numpy.polynomial.polynomial import polyval\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\nH0 = np.array([1])\nH1 = np.... | .venv\Lib\site-packages\numpy\polynomial\tests\test_hermite.py | test_hermite.py | Python | 19,245 | 0.95 | 0.179211 | 0.119826 | awesome-app | 300 | 2024-04-22T10:21:35.586156 | BSD-3-Clause | true | 819512e2794b23d0e57b4abda2108e7f |
"""Tests for hermite_e module.\n\n"""\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.hermite_e as herme\nfrom numpy.polynomial.polynomial import polyval\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\nHe0 = np.array([1])\nHe... | .venv\Lib\site-packages\numpy\polynomial\tests\test_hermite_e.py | test_hermite_e.py | Python | 19,585 | 0.95 | 0.178891 | 0.119565 | vue-tools | 970 | 2024-02-20T19:49:31.394143 | Apache-2.0 | true | f6944afb3eccf77ae9ec7738758da184 |
"""Tests for laguerre module.\n\n"""\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.laguerre as lag\nfrom numpy.polynomial.polynomial import polyval\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\nL0 = np.array([1]) / 1\nL1 ... | .venv\Lib\site-packages\numpy\polynomial\tests\test_laguerre.py | test_laguerre.py | Python | 18,177 | 0.95 | 0.181481 | 0.11991 | vue-tools | 586 | 2023-09-10T03:03:09.447607 | BSD-3-Clause | true | c60937ddcde7e4beea7f7676642b8dc3 |
"""Tests for legendre module.\n\n"""\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.legendre as leg\nfrom numpy.polynomial.polynomial import polyval\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\nL0 = np.array([1])\nL1 = np... | .venv\Lib\site-packages\numpy\polynomial\tests\test_legendre.py | test_legendre.py | Python | 19,376 | 0.95 | 0.182137 | 0.117271 | python-kit | 734 | 2024-08-19T09:26:42.693100 | MIT | true | f542afe97ff45c27421790aa4ff759a5 |
"""Tests for polynomial module.\n\n"""\nimport pickle\nfrom copy import deepcopy\nfrom fractions import Fraction\nfrom functools import reduce\n\nimport numpy as np\nimport numpy.polynomial.polynomial as poly\nimport numpy.polynomial.polyutils as pu\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n... | .venv\Lib\site-packages\numpy\polynomial\tests\test_polynomial.py | test_polynomial.py | Python | 23,580 | 0.95 | 0.165919 | 0.127698 | vue-tools | 286 | 2025-02-09T08:05:23.615004 | GPL-3.0 | true | c256efa10ba3cff3fccd86cf9553073d |
"""Tests for polyutils module.\n\n"""\nimport numpy as np\nimport numpy.polynomial.polyutils as pu\nfrom numpy.testing import (\n assert_,\n assert_almost_equal,\n assert_equal,\n assert_raises,\n)\n\n\nclass TestMisc:\n\n def test_trimseq(self):\n tgt = [1]\n for num_trailing_zeros in rang... | .venv\Lib\site-packages\numpy\polynomial\tests\test_polyutils.py | test_polyutils.py | Python | 3,908 | 0.95 | 0.195313 | 0.157407 | awesome-app | 534 | 2024-03-14T00:36:11.822988 | Apache-2.0 | true | bce9f9d35643efd723ec2de1ac8be064 |
from decimal import Decimal\n\n# For testing polynomial printing with object arrays\nfrom fractions import Fraction\nfrom math import inf, nan\n\nimport pytest\n\nimport numpy.polynomial as poly\nfrom numpy._core import arange, array, printoptions\nfrom numpy.testing import assert_, assert_equal\n\n\nclass TestStrUnico... | .venv\Lib\site-packages\numpy\polynomial\tests\test_printing.py | test_printing.py | Python | 21,958 | 0.95 | 0.117117 | 0.04 | python-kit | 62 | 2024-12-06T05:44:27.755385 | MIT | true | 53b4608d428fe37509e214b383c0fdd9 |
"""\nTests related to the ``symbol`` attribute of the ABCPolyBase class.\n"""\n\nimport pytest\n\nimport numpy.polynomial as poly\nfrom numpy._core import array\nfrom numpy.testing import assert_, assert_equal, assert_raises\n\n\nclass TestInit:\n """\n Test polynomial creation with symbol kwarg.\n """\n c ... | .venv\Lib\site-packages\numpy\polynomial\tests\test_symbol.py | test_symbol.py | Python | 5,592 | 0.95 | 0.202765 | 0.024242 | vue-tools | 618 | 2023-09-18T00:27:25.650369 | Apache-2.0 | true | deefbd7800b82c54b2f47d45a1d1ceef |
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\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\laguerre.cpython-313.pyc | laguerre.cpython-313.pyc | Other | 55,773 | 0.75 | 0.046496 | 0.006436 | vue-tools | 427 | 2024-09-05T23:21:40.018197 | Apache-2.0 | false | 5084383c5c7e0f20eb1e4e03b8c742db |
\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\legendre.cpython-313.pyc | legendre.cpython-313.pyc | Other | 54,613 | 0.75 | 0.050283 | 0.005063 | node-utils | 776 | 2025-05-15T02:51:13.079143 | Apache-2.0 | false | 679b6b9c6ffbfb78257fb06f6b459a17 |
\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\polynomial.cpython-313.pyc | polynomial.cpython-313.pyc | Other | 54,368 | 0.75 | 0.048421 | 0.003336 | python-kit | 282 | 2025-06-13T05:51:59.502584 | Apache-2.0 | false | 307ad39103211f0d823af20b4d402e84 |
\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\polyutils.cpython-313.pyc | polyutils.cpython-313.pyc | Other | 27,695 | 0.95 | 0.088129 | 0.006303 | vue-tools | 762 | 2023-10-08T04:57:45.366987 | MIT | false | c421264001b7304f442db3b09aa0d443 |
\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\_polybase.cpython-313.pyc | _polybase.cpython-313.pyc | Other | 45,868 | 0.95 | 0.102493 | 0 | awesome-app | 776 | 2024-12-20T07:28:49.032821 | GPL-3.0 | false | 8205bb14cc814cf0621fae7edb742c61 |
\n\n | .venv\Lib\site-packages\numpy\polynomial\__pycache__\__init__.cpython-313.pyc | __init__.cpython-313.pyc | Other | 6,812 | 0.95 | 0.14881 | 0.007092 | react-lib | 203 | 2024-03-03T18:32:22.077137 | GPL-3.0 | false | 1a4eb1b0dba1db5c18a99ad6246a7ae7 |
!<arch>\n/ -1 0 194 `\n | .venv\Lib\site-packages\numpy\random\bit_generator.cp313-win_amd64.lib | bit_generator.cp313-win_amd64.lib | Other | 2,120 | 0.8 | 0 | 0 | awesome-app | 369 | 2025-05-03T10:54:02.162878 | GPL-3.0 | false | dc1de00876a25a08a53f5b478b3b5b80 |
cimport numpy as np\nfrom libc.stdint cimport uint32_t, uint64_t\n\ncdef extern from "numpy/random/bitgen.h":\n struct bitgen:\n void *state\n uint64_t (*next_uint64)(void *st) nogil\n uint32_t (*next_uint32)(void *st) nogil\n double (*next_double)(void *st) nogil\n uint64_t (*next... | .venv\Lib\site-packages\numpy\random\bit_generator.pxd | bit_generator.pxd | Other | 1,042 | 0.85 | 0.085714 | 0 | awesome-app | 348 | 2025-03-14T13:20:37.223490 | MIT | false | de57fbbeaf4ec95b9d17509ec886e3e9 |
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