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import numpy as np\n\nnp.isdtype(np.float64, (np.int64, np.float64))\nnp.isdtype(np.int64, "signed integer")\n\nnp.issubdtype("S1", np.bytes_)\nnp.issubdtype(np.float64, np.float32)\n\nnp.ScalarType\nnp.ScalarType[0]\nnp.ScalarType[3]\nnp.ScalarType[8]\nnp.ScalarType[10]\n\nnp.typecodes["Character"]\nnp.typecodes["Comp... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\numerictypes.py | numerictypes.py | Python | 348 | 0.85 | 0 | 0 | awesome-app | 744 | 2024-06-01T11:55:07.071342 | BSD-3-Clause | true | f72033713c47d34986443de8dd1bdd8b |
from __future__ import annotations\n\nfrom typing import Any\nimport numpy as np\n\nSEED_NONE = None\nSEED_INT = 4579435749574957634658964293569\nSEED_ARR: np.ndarray[Any, np.dtype[np.int64]] = np.array([1, 2, 3, 4], dtype=np.int64)\nSEED_ARRLIKE: list[int] = [1, 2, 3, 4]\nSEED_SEED_SEQ: np.random.SeedSequence = np.ran... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\random.py | random.py | Python | 63,321 | 0.75 | 0 | 0.00301 | awesome-app | 421 | 2023-12-06T11:57:27.320434 | GPL-3.0 | true | c4d97d21c67b8152eb2a9a6e32845523 |
"""These tests are based on the doctests from `numpy/lib/recfunctions.py`."""\n\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy.lib import recfunctions as rfn\n\n\ndef test_recursive_fill_fields() -> None:\n a: npt.NDArray[np.void] = np.array(\n [(1, 10.0), (... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\recfunctions.py | recfunctions.py | Python | 5,164 | 0.85 | 0.099379 | 0 | node-utils | 145 | 2024-08-29T23:15:56.643250 | MIT | true | cda56694a391a6f1cfc1bedaad81d44a |
import datetime as dt\n\nimport pytest\nimport numpy as np\n\nb = np.bool()\nb_ = np.bool_()\nu8 = np.uint64()\ni8 = np.int64()\nf8 = np.float64()\nc16 = np.complex128()\nU = np.str_()\nS = np.bytes_()\n\n\n# Construction\nclass D:\n def __index__(self) -> int:\n return 0\n\n\nclass C:\n def __complex__(se... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\scalars.py | scalars.py | Python | 3,972 | 0.95 | 0.032258 | 0.028302 | awesome-app | 356 | 2025-05-23T17:44:13.122191 | GPL-3.0 | true | 11f1c9f5e4438d42d2076adb8f73e4a5 |
from typing import Any, NamedTuple, cast\n\nimport numpy as np\n\n\n# Subtype of tuple[int, int]\nclass XYGrid(NamedTuple):\n x_axis: int\n y_axis: int\n\n# Test variance of _ShapeT_co\ndef accepts_2d(a: np.ndarray[tuple[int, int], Any]) -> None:\n return None\n\n\naccepts_2d(np.empty(XYGrid(2, 2)))\naccepts_2... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\shape.py | shape.py | Python | 464 | 0.95 | 0.105263 | 0.153846 | awesome-app | 270 | 2024-09-29T23:18:46.386235 | GPL-3.0 | true | 8d1232bf01dcd859fa40b6a71ec281f2 |
"""Simple expression that should pass with mypy."""\nimport operator\n\nimport numpy as np\nimport numpy.typing as npt\nfrom collections.abc import Iterable\n\n# Basic checks\narray = np.array([1, 2])\n\n\ndef ndarray_func(x: npt.NDArray[np.float64]) -> npt.NDArray[np.float64]:\n return x\n\n\nndarray_func(np.array(... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\simple.py | simple.py | Python | 2,919 | 0.95 | 0.011905 | 0.083333 | awesome-app | 945 | 2024-09-27T05:19:11.087482 | Apache-2.0 | true | b11a5cf176533a4f1a50bd597efeb6fe |
import numpy as np\n\narray = np.array([1, 2])\n\n# The @ operator is not in python 2\narray @ array\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\simple_py3.py | simple_py3.py | Python | 102 | 0.75 | 0 | 0.25 | awesome-app | 932 | 2023-09-27T14:19:17.358026 | GPL-3.0 | true | 70084d6fa5985cacabb3dba5d12737c8 |
from __future__ import annotations\nfrom typing import Any\nimport numpy as np\n\n\nclass Object:\n def __ceil__(self) -> Object:\n return self\n\n def __floor__(self) -> Object:\n return self\n\n def __ge__(self, value: object) -> bool:\n return True\n\n def __array__(self, dtype: np.t... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\ufunclike.py | ufunclike.py | Python | 1,172 | 0.85 | 0.106383 | 0 | vue-tools | 94 | 2025-05-12T21:30:00.090442 | MIT | true | 411abf6ae3640b5b5439226ab3ea78dc |
import numpy as np\n\nnp.sin(1)\nnp.sin([1, 2, 3])\nnp.sin(1, out=np.empty(1))\nnp.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)])\nnp.sin(1, signature="D->D")\n# NOTE: `np.generic` subclasses are not guaranteed to support addition;\n# re-enable this we can infer the exact return type of `... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\ufuncs.py | ufuncs.py | Python | 438 | 0.95 | 0 | 0.285714 | python-kit | 625 | 2025-05-30T01:48:45.187852 | BSD-3-Clause | true | 102ae072e929170082286b5136e9635c |
"""Typing tests for `numpy._core._ufunc_config`."""\n\nimport numpy as np\n\n\ndef func1(a: str, b: int) -> None:\n return None\n\n\ndef func2(a: str, b: int, c: float = 1.0) -> None:\n return None\n\n\ndef func3(a: str, b: int) -> int:\n return 0\n\n\nclass Write1:\n def write(self, a: str) -> None:\n ... | .venv\Lib\site-packages\numpy\typing\tests\data\pass\ufunc_config.py | ufunc_config.py | Python | 1,269 | 0.85 | 0.171875 | 0 | vue-tools | 111 | 2025-01-19T18:53:26.568932 | Apache-2.0 | true | f57768e014dc0389ae9114f031ddfeb5 |
import numpy.exceptions as ex\n\nex.AxisError("test")\nex.AxisError(1, ndim=2)\nex.AxisError(1, ndim=2, msg_prefix="error")\nex.AxisError(1, ndim=2, msg_prefix=None)\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\warnings_and_errors.py | warnings_and_errors.py | Python | 167 | 0.85 | 0 | 0 | awesome-app | 634 | 2024-08-21T15:31:27.011162 | Apache-2.0 | true | 7aa98a8d99debc7b950bc2536a83b526 |
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\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\fromnumeric.cpython-313.pyc | fromnumeric.cpython-313.pyc | Other | 11,995 | 0.8 | 0.006667 | 0 | awesome-app | 292 | 2024-12-04T07:31:10.803138 | GPL-3.0 | true | ff6827fdfda103a0bf2d9147db20f594 |
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\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\literal.cpython-313.pyc | literal.cpython-313.pyc | Other | 2,710 | 0.8 | 0 | 0 | node-utils | 948 | 2024-03-15T05:54:03.312137 | Apache-2.0 | true | 301ef62131c3025373ada14247c8e66f |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ma.cpython-313.pyc | ma.cpython-313.pyc | Other | 5,077 | 0.8 | 0 | 0.011236 | python-kit | 200 | 2025-02-21T02:37:47.593295 | Apache-2.0 | true | c2a79dbb14ca2182e0f69329825b6f19 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\mod.cpython-313.pyc | mod.cpython-313.pyc | Other | 3,442 | 0.7 | 0 | 0 | node-utils | 148 | 2025-06-29T17:55:54.035026 | BSD-3-Clause | true | 52b68851c5f7c6dde2b1215c672ef450 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\modules.cpython-313.pyc | modules.cpython-313.pyc | Other | 2,246 | 0.8 | 0 | 0 | node-utils | 70 | 2024-03-11T04:38:40.538271 | MIT | true | d9d8d66ba779a391ebed05df74e02e75 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\multiarray.cpython-313.pyc | multiarray.cpython-313.pyc | Other | 3,375 | 0.8 | 0 | 0 | python-kit | 124 | 2025-07-01T10:40:33.068971 | Apache-2.0 | true | 0038daee70d228bc2972241b05f85ddd |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ndarray_conversion.cpython-313.pyc | ndarray_conversion.cpython-313.pyc | Other | 3,389 | 0.8 | 0 | 0.193548 | node-utils | 188 | 2023-12-05T14:11:43.604148 | GPL-3.0 | true | 25d260dcded8402033f862588e250761 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ndarray_misc.cpython-313.pyc | ndarray_misc.cpython-313.pyc | Other | 9,358 | 0.95 | 0.034091 | 0 | vue-tools | 472 | 2024-03-20T17:03:27.896138 | MIT | true | 7a0101acad3755d5cefe2c7997d6f790 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ndarray_shape_manipulation.cpython-313.pyc | ndarray_shape_manipulation.cpython-313.pyc | Other | 1,715 | 0.8 | 0 | 0 | react-lib | 515 | 2025-06-17T09:35:48.376105 | BSD-3-Clause | true | f6a081c8bf1cb1460a41eecef8c71636 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\nditer.cpython-313.pyc | nditer.cpython-313.pyc | Other | 359 | 0.7 | 0 | 0 | python-kit | 932 | 2024-04-21T15:29:38.640583 | GPL-3.0 | true | 6c315287ccb6070fa9cd8962b9b5833f |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\numeric.cpython-313.pyc | numeric.cpython-313.pyc | Other | 4,560 | 0.8 | 0.026316 | 0 | node-utils | 798 | 2024-09-13T11:15:46.631599 | Apache-2.0 | true | a88a37ffe959263ebfc2de1a8be9ee91 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\numerictypes.cpython-313.pyc | numerictypes.cpython-313.pyc | Other | 1,079 | 0.7 | 0 | 0 | awesome-app | 533 | 2024-03-05T07:28:03.321231 | GPL-3.0 | true | d1e82d11c88ddf597550aea370b5a7a9 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\random.cpython-313.pyc | random.cpython-313.pyc | Other | 81,805 | 0.6 | 0 | 0 | vue-tools | 160 | 2024-11-16T22:00:55.992394 | BSD-3-Clause | true | d021ffe133e384194962eb7a040ac9d8 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\recfunctions.cpython-313.pyc | recfunctions.cpython-313.pyc | Other | 12,168 | 0.95 | 0 | 0.032258 | node-utils | 139 | 2023-11-24T11:59:30.489586 | GPL-3.0 | true | 0cbc6cf1e7a9daffb74d65498bddb610 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\scalars.cpython-313.pyc | scalars.cpython-313.pyc | Other | 11,760 | 0.8 | 0 | 0 | node-utils | 72 | 2024-07-12T22:53:17.793525 | GPL-3.0 | true | 5b57400e9575bc1b49b91c5f5a1c6f2a |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\shape.cpython-313.pyc | shape.cpython-313.pyc | Other | 1,236 | 0.7 | 0 | 0 | react-lib | 940 | 2024-05-27T18:04:47.056927 | GPL-3.0 | true | be9eace717dfa49bb0d464438b0e8ae7 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\simple.cpython-313.pyc | simple.cpython-313.pyc | Other | 4,963 | 0.8 | 0 | 0 | react-lib | 789 | 2025-04-19T02:42:02.912581 | GPL-3.0 | true | 45fbd6a36a0384ff54263d190c374b30 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\simple_py3.cpython-313.pyc | simple_py3.cpython-313.pyc | Other | 323 | 0.8 | 0 | 0 | python-kit | 452 | 2025-06-16T10:20:25.751190 | BSD-3-Clause | true | 72840efc692b71befc1db268497a8c61 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ufunclike.cpython-313.pyc | ufunclike.cpython-313.pyc | Other | 2,671 | 0.8 | 0 | 0 | node-utils | 392 | 2023-12-07T19:59:22.483158 | BSD-3-Clause | true | 7b889c537de219c0c58b585e2442045a |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ufuncs.cpython-313.pyc | ufuncs.cpython-313.pyc | Other | 1,029 | 0.7 | 0 | 0 | python-kit | 568 | 2023-12-19T13:04:05.813181 | GPL-3.0 | true | 0dfb3b2f8f06f5b0223c041ef707f54d |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\ufunc_config.cpython-313.pyc | ufunc_config.cpython-313.pyc | Other | 3,581 | 0.8 | 0.020833 | 0 | awesome-app | 452 | 2024-09-14T03:43:26.729645 | BSD-3-Clause | true | 00e8e8dbd50350d7a46c84246031c0c1 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\warnings_and_errors.cpython-313.pyc | warnings_and_errors.cpython-313.pyc | Other | 526 | 0.7 | 0 | 0 | react-lib | 255 | 2023-09-14T17:38:54.019053 | Apache-2.0 | true | 4b67ce49c4066c5be2693b42ae336c76 |
import datetime as dt\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _32Bit, _64Bit, _128Bit\n\nb: bool\nc: complex\nf: float\ni: int\n\nc16: np.complex128\nc8: np.complex64\n\n# Can't directly import `np.float128` as it is not available on all platform... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\arithmetic.pyi | arithmetic.pyi | Other | 28,144 | 0.95 | 0.001389 | 0.025932 | node-utils | 783 | 2023-07-11T03:57:48.223827 | MIT | true | 5c35471e1b2a6d77fd0efbe1414069ce |
from collections.abc import Mapping\nfrom typing import Any, SupportsIndex, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\ndef mode_func(\n ar: npt.NDArray[np.number],\n width: tuple[int, int],\n iaxis: SupportsIndex,\n kwargs: Mapping[str, Any],\n) -> None: ...\n\nAR_i8: npt.NDArray[np.in... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\arraypad.pyi | arraypad.pyi | Other | 675 | 0.85 | 0.045455 | 0 | python-kit | 768 | 2023-10-19T23:29:46.050589 | Apache-2.0 | true | d102661d95dbc8001f8b8b35c18c7236 |
import contextlib\nfrom collections.abc import Callable\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._core.arrayprint import _FormatOptions\n\nAR: npt.NDArray[np.int64]\nfunc_float: Callable[[np.floating], str]\nfunc_int: Callable[[np.integer], str]\n\nassert_type(n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\arrayprint.pyi | arrayprint.pyi | Other | 802 | 0.85 | 0 | 0 | vue-tools | 938 | 2025-04-12T05:58:49.167395 | BSD-3-Clause | true | 928f2791a3cb5c53f0de08ba7a52cc1b |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy.lib._arraysetops_impl import (\n UniqueAllResult,\n UniqueCountsResult,\n UniqueInverseResult,\n)\n\nAR_b: npt.NDArray[np.bool]\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\nAR_M: npt.NDArray[np.d... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\arraysetops.pyi | arraysetops.pyi | Other | 4,485 | 0.85 | 0 | 0 | node-utils | 248 | 2024-04-05T03:06:40.423726 | MIT | true | 02e89f232340f1b41eae28a3facb28eb |
from collections.abc import Generator\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_i8: npt.NDArray[np.int64]\nar_iter = np.lib.Arrayterator(AR_i8)\n\nassert_type(ar_iter.var, npt.NDArray[np.int64])\nassert_type(ar_iter.buf_size, int | None)\nassert_type(ar_iter.start, lis... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\arrayterator.pyi | arrayterator.pyi | Other | 1,066 | 0.85 | 0.037037 | 0 | react-lib | 730 | 2024-11-25T17:08:07.130343 | BSD-3-Clause | true | f19a77f71954971df5b58643e4dc9649 |
from typing import Literal, Never, assert_type\n\nimport numpy as np\n\ninfo = np.__array_namespace_info__()\n\nassert_type(info.__module__, Literal["numpy"])\n\nassert_type(info.default_device(), Literal["cpu"])\nassert_type(info.devices()[0], Literal["cpu"])\nassert_type(info.devices()[-1], Literal["cpu"])\n\nassert_... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\array_api_info.pyi | array_api_info.pyi | Other | 3,087 | 0.85 | 0 | 0 | node-utils | 117 | 2024-12-20T08:10:17.699478 | MIT | true | b4c858d2b6f52e5bc7ac4427bd21d4cc |
import sys\nfrom collections import deque\nfrom pathlib import Path\nfrom typing import Any, TypeVar, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\n_ScalarT_co = TypeVar("_ScalarT_co", bound=np.generic, covariant=True)\n\nclass SubClass(npt.NDArray[_ScalarT_co]): ...\n\ni8: np.int64\n\nA: npt.NDArray... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\array_constructors.pyi | array_constructors.pyi | Other | 13,179 | 0.95 | 0.016194 | 0 | awesome-app | 766 | 2025-06-10T03:57:29.300228 | GPL-3.0 | true | 3a12088df8436cdae81bdf449ddd8016 |
from typing import Any, TypeAlias, assert_type\nfrom typing import Literal as L\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _32Bit, _64Bit\n\nFalseType: TypeAlias = L[False]\nTrueType: TypeAlias = L[True]\n\ni4: np.int32\ni8: np.int64\n\nu4: np.uint32\nu8: np.uint64\n\nb_: np.bool[bool]... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\bitwise_ops.pyi | bitwise_ops.pyi | Other | 5,079 | 0.85 | 0 | 0 | node-utils | 103 | 2024-01-26T01:43:41.282862 | BSD-3-Clause | true | cdb940b66dc0333c238fb847d0846df4 |
from typing import TypeAlias, assert_type\n\nimport numpy as np\nimport numpy._typing as np_t\nimport numpy.typing as npt\n\nAR_T_alias: TypeAlias = np.ndarray[np_t._AnyShape, np.dtypes.StringDType]\nAR_TU_alias: TypeAlias = AR_T_alias | npt.NDArray[np.str_]\n\nAR_U: npt.NDArray[np.str_]\nAR_S: npt.NDArray[np.bytes_]\n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\char.pyi | char.pyi | Other | 10,990 | 0.85 | 0 | 0 | python-kit | 490 | 2025-01-27T12:09:15.723285 | Apache-2.0 | true | 87ef75fac0d83358d2330342496d9513 |
from typing import Any, TypeAlias, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\n_BytesCharArray: TypeAlias = np.char.chararray[tuple[Any, ...], np.dtype[np.bytes_]]\n_StrCharArray: TypeAlias = np.char.chararray[tuple[Any, ...], np.dtype[np.str_]]\n\nAR_U: _StrCharArray\nAR_S: _BytesCharArray\n\nasse... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\chararray.pyi | chararray.pyi | Other | 5,336 | 0.85 | 0 | 0 | vue-tools | 876 | 2024-01-11T17:33:56.625563 | MIT | true | ebc44e472d31f85ab9a9839cb789519b |
import decimal\nimport fractions\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nc16 = np.complex128()\nf8 = np.float64()\ni8 = np.int64()\nu8 = np.uint64()\n\nc8 = np.complex64()\nf4 = np.float32()\ni4 = np.int32()\nu4 = np.uint32()\n\ndt = np.datetime64(0, "D")\ntd = np.timed... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\comparisons.pyi | comparisons.pyi | Other | 7,459 | 0.95 | 0 | 0.026201 | awesome-app | 191 | 2025-01-20T00:28:54.678365 | GPL-3.0 | true | 376434f099a5e02998268a799c93dacf |
from typing import Literal, assert_type\n\nimport numpy as np\n\nassert_type(np.e, float)\nassert_type(np.euler_gamma, float)\nassert_type(np.inf, float)\nassert_type(np.nan, float)\nassert_type(np.pi, float)\n\nassert_type(np.little_endian, bool)\n\nassert_type(np.True_, np.bool[Literal[True]])\nassert_type(np.False_,... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\constants.pyi | constants.pyi | Other | 347 | 0.85 | 0 | 0 | node-utils | 142 | 2025-05-05T00:43:02.257634 | GPL-3.0 | true | aa13a52c4351cfe2c176704e7874bd85 |
import ctypes as ct\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy import ctypeslib\n\nAR_bool: npt.NDArray[np.bool]\nAR_ubyte: npt.NDArray[np.ubyte]\nAR_ushort: npt.NDArray[np.ushort]\nAR_uintc: npt.NDArray[np.uintc]\nAR_ulong: npt.NDArray[np.ulong]\nAR_ulonglong: np... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ctypeslib.pyi | ctypeslib.pyi | Other | 4,215 | 0.85 | 0 | 0 | react-lib | 952 | 2025-07-09T12:53:24.794612 | BSD-3-Clause | true | 4c6c08ed920ff5f24d27c566d6840fbc |
from pathlib import Path\nfrom typing import IO, Any, assert_type\n\nimport numpy as np\n\npath1: Path\npath2: str\n\nd1 = np.lib.npyio.DataSource(path1)\nd2 = np.lib.npyio.DataSource(path2)\nd3 = np.lib.npyio.DataSource(None)\n\nassert_type(d1.abspath("..."), str)\nassert_type(d2.abspath("..."), str)\nassert_type(d3.a... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\datasource.pyi | datasource.pyi | Other | 606 | 0.85 | 0 | 0 | react-lib | 415 | 2024-04-04T17:52:08.814495 | Apache-2.0 | true | 249714261654196cf5998b18d343ad7d |
import ctypes as ct\nimport datetime as dt\nfrom decimal import Decimal\nfrom fractions import Fraction\nfrom typing import Any, Literal, LiteralString, TypeAlias, assert_type\n\nimport numpy as np\nfrom numpy.dtypes import StringDType\n\n# a combination of likely `object` dtype-like candidates (no `_co`)\n_PyObjectLik... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\dtype.pyi | dtype.pyi | Other | 5,216 | 0.95 | 0.007353 | 0.098214 | python-kit | 830 | 2023-12-26T12:38:25.884511 | GPL-3.0 | true | b13b8caa446119d542d2b8e2236b2d82 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_LIKE_b: list[bool]\nAR_LIKE_u: list[np.uint32]\nAR_LIKE_i: list[int]\nAR_LIKE_f: list[float]\nAR_LIKE_c: list[complex]\nAR_LIKE_U: list[str]\nAR_o: npt.NDArray[np.object_]\n\nOUT_f: npt.NDArray[np.float64]\n\nassert_type(np.eins... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\einsumfunc.pyi | einsumfunc.pyi | Other | 1,965 | 0.85 | 0 | 0 | react-lib | 456 | 2023-10-29T18:21:17.900738 | BSD-3-Clause | true | 472f6bf24588eacacde5aebe5dae40ad |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nf8: np.float64\nc16: np.complex128\n\nassert_type(np.emath.sqrt(f8), Any)\nassert_type(np.emath.sqrt(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.sqrt(c16), np.... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\emath.pyi | emath.pyi | Other | 2,179 | 0.85 | 0 | 0 | awesome-app | 141 | 2024-03-08T03:31:47.409513 | Apache-2.0 | true | 6a3e8613d2395fa57e0b7aafb1c91258 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nAR_LIKE_f8: list[float]\n\nassert_type(np.fft.fftshift(AR_f8), npt.NDArray[np.float64])\nassert_type(np.fft.fftshift(AR_LIKE_f8, axes=0), npt.NDArray[Any])\n\nasse... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\fft.pyi | fft.pyi | Other | 1,638 | 0.85 | 0 | 0 | react-lib | 974 | 2025-02-27T18:54:45.845057 | Apache-2.0 | true | ec7b75f1838878e5d0bc016db4a2e506 |
from typing import Literal, TypeAlias, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\na: np.flatiter[npt.NDArray[np.str_]]\na_1d: np.flatiter[np.ndarray[tuple[int], np.dtype[np.bytes_]]]\n\nSize: TypeAlias = Literal[42]\na_1d_fixed: np.flatiter[np.ndarray[tuple[Size], np.dtype[np.object_]]]\n\nassert_... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\flatiter.pyi | flatiter.pyi | Other | 1,394 | 0.85 | 0 | 0 | python-kit | 814 | 2024-12-25T17:21:18.495802 | MIT | true | 1fd58822e50c4d2df584e3788f98409c |
"""Tests for :mod:`_core.fromnumeric`."""\n\nfrom typing import Any, assert_type\nfrom typing import Literal as L\n\nimport numpy as np\nimport numpy.typing as npt\n\nclass NDArraySubclass(npt.NDArray[np.complex128]): ...\n\nAR_b: npt.NDArray[np.bool]\nAR_f4: npt.NDArray[np.float32]\nAR_c16: npt.NDArray[np.complex128]\... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\fromnumeric.pyi | fromnumeric.pyi | Other | 15,413 | 0.95 | 0.014409 | 0.019934 | node-utils | 663 | 2024-09-23T17:19:58.293525 | GPL-3.0 | true | 9eb43113b11a24be19ceb23f7b8eba0a |
from typing import Any, LiteralString, assert_type\n\nimport numpy as np\nfrom numpy._typing import _64Bit\n\nf: float\nf8: np.float64\nc8: np.complex64\n\ni: int\ni8: np.int64\nu4: np.uint32\n\nfinfo_f8: np.finfo[np.float64]\niinfo_i8: np.iinfo[np.int64]\n\nassert_type(np.finfo(f), np.finfo[np.float64])\nassert_type(n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\getlimits.pyi | getlimits.pyi | Other | 1,598 | 0.85 | 0 | 0 | node-utils | 113 | 2024-04-02T19:23:03.891206 | BSD-3-Clause | true | 1f462594bf1d42d6f5706a8dbee2cc27 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\n\nassert_type(np.histogram_bin_edges(AR_i8, bins="auto"), npt.NDArray[Any])\nassert_type(np.histogram_bin_edges(AR_i8, bins="rice", range=(0, 3)), npt.NDArray[Any])\nass... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\histograms.pyi | histograms.pyi | Other | 1,282 | 0.85 | 0 | 0 | node-utils | 364 | 2024-01-15T07:09:17.901500 | BSD-3-Clause | true | 720ea94531e0a0cc2d61b7818a4ec752 |
from types import EllipsisType\nfrom typing import Any, Literal, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_LIKE_b: list[bool]\nAR_LIKE_i: list[int]\nAR_LIKE_f: list[float]\nAR_LIKE_U: list[str]\nAR_LIKE_O: list[object]\n\nAR_i8: npt.NDArray[np.int64]\nAR_O: npt.NDArray[np.object_]\n\nassert_ty... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\index_tricks.pyi | index_tricks.pyi | Other | 3,311 | 0.85 | 0 | 0 | node-utils | 650 | 2024-06-10T18:14:53.155080 | BSD-3-Clause | true | d40a5b6c45a11fd7e84e948a98b9c676 |
from collections.abc import Callable\nfrom fractions import Fraction\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nvectorized_func: np.vectorize\n\nf8: np.float64\nAR_LIKE_f8: list[float]\nAR_LIKE_c16: list[complex]\nAR_LIKE_O: list[Fraction]\n\nAR_i8: npt.NDArray[np.int64]\n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\lib_function_base.pyi | lib_function_base.pyi | Other | 10,325 | 0.95 | 0.004695 | 0.005682 | awesome-app | 167 | 2023-09-05T19:57:55.477242 | Apache-2.0 | true | 78fe7ae99e9c9239fd45f70569e31bb1 |
from collections.abc import Iterator\nfrom typing import Any, NoReturn, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_b: npt.NDArray[np.bool]\nAR_u4: npt.NDArray[np.uint32]\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nAR_O: npt.NDArray[np.objec... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\lib_polynomial.pyi | lib_polynomial.pyi | Other | 5,804 | 0.85 | 0 | 0 | python-kit | 100 | 2024-12-30T04:03:19.295970 | MIT | true | 2c679f96401ed221ed373aaf278165d9 |
from io import StringIO\nfrom typing import assert_type\n\nimport numpy as np\nimport numpy.lib.array_utils as array_utils\nimport numpy.typing as npt\n\nAR: npt.NDArray[np.float64]\nAR_DICT: dict[str, npt.NDArray[np.float64]]\nFILE: StringIO\n\ndef func(a: int) -> bool: ...\n\nassert_type(array_utils.byte_bounds(AR), ... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\lib_utils.pyi | lib_utils.pyi | Other | 453 | 0.85 | 0.058824 | 0 | vue-tools | 566 | 2024-06-20T02:00:31.516830 | GPL-3.0 | true | 3e8a15e5cec0bb37002bd44f08c89e4f |
from typing import assert_type\n\nfrom numpy.lib import NumpyVersion\n\nversion = NumpyVersion("1.8.0")\n\nassert_type(version.vstring, str)\nassert_type(version.version, str)\nassert_type(version.major, int)\nassert_type(version.minor, int)\nassert_type(version.bugfix, int)\nassert_type(version.pre_release, str)\nasse... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\lib_version.pyi | lib_version.pyi | Other | 592 | 0.85 | 0 | 0 | awesome-app | 879 | 2024-01-16T07:39:02.242758 | MIT | true | 249877cb6f704783a3c75dfcd236ba4c |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy.linalg._linalg import (\n EighResult,\n EigResult,\n QRResult,\n SlogdetResult,\n SVDResult,\n)\n\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nAR_O: npt.... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\linalg.pyi | linalg.pyi | Other | 6,065 | 0.85 | 0 | 0 | react-lib | 978 | 2024-09-29T17:12:45.223678 | MIT | true | f87f47ddf70ccfe83d7315ef9917eeaa |
from typing import Any, Literal, TypeAlias, TypeVar, assert_type\n\nimport numpy as np\nfrom numpy import dtype, generic\nfrom numpy._typing import NDArray, _AnyShape\n\n_ScalarT = TypeVar("_ScalarT", bound=generic)\nMaskedArray: TypeAlias = np.ma.MaskedArray[_AnyShape, dtype[_ScalarT]]\n_Array1D: TypeAlias = np.ndarra... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ma.pyi | ma.pyi | Other | 16,668 | 0.95 | 0.008108 | 0.016393 | node-utils | 102 | 2024-08-08T12:35:39.790896 | GPL-3.0 | true | 6159e3c8f38d8ec98da600532ec48139 |
from typing import Any, TypeAlias, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\n_Shape2D: TypeAlias = tuple[int, int]\n\nmat: np.matrix[_Shape2D, np.dtype[np.int64]]\nar_f8: npt.NDArray[np.float64]\nar_ip: npt.NDArray[np.intp]\n\nassert_type(mat * 5, np.matrix[_Shape2D, Any])\nassert_type(5 * mat, n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\matrix.pyi | matrix.pyi | Other | 3,113 | 0.85 | 0 | 0 | python-kit | 940 | 2023-09-23T17:06:58.270889 | BSD-3-Clause | true | 4de6fa3e2ddfe49a76768b6e0dddb63f |
from typing import Any, assert_type\n\nimport numpy as np\n\nmemmap_obj: np.memmap[Any, np.dtype[np.str_]]\n\nassert_type(np.memmap.__array_priority__, float)\nassert_type(memmap_obj.__array_priority__, float)\nassert_type(memmap_obj.filename, str | None)\nassert_type(memmap_obj.offset, int)\nassert_type(memmap_obj.mod... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\memmap.pyi | memmap.pyi | Other | 738 | 0.85 | 0 | 0 | vue-tools | 847 | 2024-04-29T02:20:06.178095 | BSD-3-Clause | true | dade539faa379cebf4281a976ae0e4e9 |
import datetime as dt\nfrom typing import Literal as L\nfrom typing import assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _64Bit\n\nf8: np.float64\ni8: np.int64\nu8: np.uint64\n\nf4: np.float32\ni4: np.int32\nu4: np.uint32\n\nm: np.timedelta64\nm_nat: np.timedelta64[None]\nm_in... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\mod.pyi | mod.pyi | Other | 7,779 | 0.95 | 0.027778 | 0.058824 | python-kit | 250 | 2024-05-11T22:03:10.135517 | Apache-2.0 | true | d06fa7397b5d4bf8d995c02ff8a7e8dd |
import types\nfrom typing import assert_type\n\nimport numpy as np\nfrom numpy import f2py\n\nassert_type(np, types.ModuleType)\n\nassert_type(np.char, types.ModuleType)\nassert_type(np.ctypeslib, types.ModuleType)\nassert_type(np.emath, types.ModuleType)\nassert_type(np.fft, types.ModuleType)\nassert_type(np.lib, type... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\modules.pyi | modules.pyi | Other | 1,909 | 0.85 | 0 | 0 | python-kit | 574 | 2025-02-18T03:42:32.567656 | BSD-3-Clause | true | 699243d9bf373787aa130b8b44bef479 |
import datetime as dt\nfrom typing import Any, Literal, TypeVar, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\n_ScalarT_co = TypeVar("_ScalarT_co", bound=np.generic, covariant=True)\n\nclass SubClass(npt.NDArray[_ScalarT_co]): ...\n\nsubclass: SubClass[np.float64]\n\nAR_f8: npt.NDArray[np.float64]\nA... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\multiarray.pyi | multiarray.pyi | Other | 7,973 | 0.85 | 0.020619 | 0.006623 | react-lib | 451 | 2024-09-01T03:05:52.411973 | Apache-2.0 | true | 8ea7f72619cf2b572cc9678547cca6d7 |
from typing import TypeVar, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy._typing import _32Bit, _64Bit\n\nT1 = TypeVar("T1", bound=npt.NBitBase) # type: ignore[deprecated] # pyright: ignore[reportDeprecated]\nT2 = TypeVar("T2", bound=npt.NBitBase) # type: ignore[deprecated] # pyright: i... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\nbit_base_example.pyi | nbit_base_example.pyi | Other | 708 | 0.95 | 0.047619 | 0 | react-lib | 759 | 2024-12-22T12:42:48.967152 | MIT | true | c15da9c1626518a5dae65ef8a849e728 |
from typing import Protocol, TypeAlias, TypeVar, assert_type\n\nimport numpy as np\nfrom numpy._typing import _64Bit\n\n_T = TypeVar("_T")\n_T_co = TypeVar("_T_co", covariant=True)\n\nclass CanAbs(Protocol[_T_co]):\n def __abs__(self, /) -> _T_co: ...\n\nclass CanInvert(Protocol[_T_co]):\n def __invert__(self, /)... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ndarray_assignability.pyi | ndarray_assignability.pyi | Other | 2,745 | 0.95 | 0.155844 | 0.031746 | vue-tools | 48 | 2023-10-18T04:53:22.407170 | BSD-3-Clause | true | 34a41ee6d3f4d3f4772020c241e97bb1 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nb1_0d: np.ndarray[tuple[()], np.dtype[np.bool]]\nu2_1d: np.ndarray[tuple[int], np.dtype[np.uint16]]\ni4_2d: np.ndarray[tuple[int, int], np.dtype[np.int32]]\nf8_3d: np.ndarray[tuple[int, int, int], np.dtype[np.float64]]\ncG_4d: np.n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ndarray_conversion.pyi | ndarray_conversion.pyi | Other | 3,394 | 0.95 | 0.011765 | 0.202899 | node-utils | 418 | 2023-09-26T07:01:50.311821 | Apache-2.0 | true | 9ca6c07adf210acd9dc4794f1d1e46d9 |
"""\nTests for miscellaneous (non-magic) ``np.ndarray``/``np.generic`` methods.\n\nMore extensive tests are performed for the methods'\nfunction-based counterpart in `../from_numeric.py`.\n\n"""\n\nfrom collections.abc import Iterator\nimport ctypes as ct\nimport operator\nfrom types import ModuleType\nfrom typing impo... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ndarray_misc.pyi | ndarray_misc.pyi | Other | 8,910 | 0.95 | 0.016194 | 0 | react-lib | 497 | 2024-06-04T23:20:06.649076 | Apache-2.0 | true | 66fb947df7fe605fd6ef05db4f44eaec |
from typing import assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nnd: npt.NDArray[np.int64]\n\n# reshape\nassert_type(nd.reshape(None), npt.NDArray[np.int64])\nassert_type(nd.reshape(4), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(nd.reshape((4,)), np.ndarray[tuple[int], np.dtype[np.int64... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\ndarray_shape_manipulation.pyi | ndarray_shape_manipulation.pyi | Other | 1,433 | 0.95 | 0 | 0.241379 | awesome-app | 10 | 2025-05-30T20:32:35.806961 | Apache-2.0 | true | 8f49e989bca7c2a8a2020a1d7084ffbd |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nnditer_obj: np.nditer\n\nassert_type(np.nditer([0, 1], flags=["c_index"]), np.nditer)\nassert_type(np.nditer([0, 1], op_flags=[["readonly", "readonly"]]), np.nditer)\nassert_type(np.nditer([0, 1], op_dtypes=np.int_), np.nditer)\nas... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\nditer.pyi | nditer.pyi | Other | 1,947 | 0.85 | 0 | 0 | python-kit | 991 | 2025-01-20T20:35:50.144545 | Apache-2.0 | true | fb342f0a63c5e76276a50b96728f2554 |
from collections.abc import Sequence\nfrom typing import Any, assert_type\n\nfrom numpy._typing import _NestedSequence\n\na: Sequence[int]\nb: Sequence[Sequence[int]]\nc: Sequence[Sequence[Sequence[int]]]\nd: Sequence[Sequence[Sequence[Sequence[int]]]]\ne: Sequence[bool]\nf: tuple[int, ...]\ng: list[int]\nh: Sequence[A... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\nested_sequence.pyi | nested_sequence.pyi | Other | 637 | 0.85 | 0.04 | 0 | python-kit | 771 | 2025-06-19T22:41:25.682349 | BSD-3-Clause | true | b828e225c3baa11013e5a88f4a7b26d2 |
import pathlib\nimport re\nimport zipfile\nfrom collections.abc import Mapping\nfrom typing import IO, Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\nfrom numpy.lib._npyio_impl import BagObj\n\nstr_path: str\npathlib_path: pathlib.Path\nstr_file: IO[str]\nbytes_file: IO[bytes]\n\nnpz_file: np.lib.n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\npyio.pyi | npyio.pyi | Other | 3,576 | 0.85 | 0.060241 | 0 | python-kit | 75 | 2025-03-12T13:57:26.181960 | Apache-2.0 | true | f078acacd0b519c12eb11ea8f0c877be |
"""\nTests for :mod:`_core.numeric`.\n\nDoes not include tests which fall under ``array_constructors``.\n\n"""\n\nfrom typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nclass SubClass(npt.NDArray[np.int64]): ...\n\ni8: np.int64\n\nAR_b: npt.NDArray[np.bool]\nAR_u8: npt.NDArray[np.uint6... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\numeric.pyi | numeric.pyi | Other | 6,003 | 0.85 | 0.014925 | 0 | vue-tools | 661 | 2025-02-19T08:57:44.997130 | GPL-3.0 | true | a3f42389cdeca5e4e12552af4a432a7d |
from typing import Literal, assert_type\n\nimport numpy as np\n\nassert_type(\n np.ScalarType,\n tuple[\n type[int],\n type[float],\n type[complex],\n type[bool],\n type[bytes],\n type[str],\n type[memoryview],\n type[np.bool],\n type[np.csingle],\n ... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\numerictypes.pyi | numerictypes.pyi | Other | 1,382 | 0.85 | 0 | 0 | react-lib | 313 | 2025-02-11T17:21:08.558004 | BSD-3-Clause | true | 70bcf4cff5da348729fef6fe8e0beff1 |
from collections.abc import Sequence\nfrom decimal import Decimal\nfrom fractions import Fraction\nfrom typing import Any, LiteralString, TypeAlias, TypeVar, assert_type\nfrom typing import Literal as L\n\nimport numpy as np\nimport numpy.polynomial as npp\nimport numpy.typing as npt\n\n_Ar_x: TypeAlias = npt.NDArray[n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\polynomial_polybase.pyi | polynomial_polybase.pyi | Other | 8,145 | 0.95 | 0 | 0.022346 | awesome-app | 384 | 2023-12-26T01:12:29.038221 | BSD-3-Clause | true | 348f59d28b0f4633e87525d51f2dea3b |
from collections.abc import Sequence\nfrom decimal import Decimal\nfrom fractions import Fraction\nfrom typing import Any, TypeAlias, assert_type\nfrom typing import Literal as L\n\nimport numpy as np\nimport numpy.polynomial.polyutils as pu\nimport numpy.typing as npt\nfrom numpy.polynomial._polytypes import _Tuple2\n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\polynomial_polyutils.pyi | polynomial_polyutils.pyi | Other | 10,861 | 0.95 | 0 | 0.033333 | node-utils | 3 | 2025-02-27T11:21:42.456422 | MIT | true | 895d36d3e1c5a6cfc910050f854d2ba8 |
from collections.abc import Sequence\nfrom typing import Any, TypeAlias, assert_type\n\nimport numpy as np\nimport numpy.polynomial as npp\nimport numpy.typing as npt\n\n_ArrFloat1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.floating]]\n_ArrFloat1D64: TypeAlias = np.ndarray[tuple[int], np.dtype[np.float64]]\n_ArrC... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\polynomial_series.pyi | polynomial_series.pyi | Other | 6,991 | 0.95 | 0 | 0.026549 | python-kit | 915 | 2024-04-12T11:29:46.687539 | Apache-2.0 | true | 67380292a15235dfef9a6af326cfa185 |
import io\nfrom typing import Any, TypeAlias, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\n_RecArray: TypeAlias = np.recarray[tuple[Any, ...], np.dtype[np.record]]\n\nAR_i8: npt.NDArray[np.int64]\nREC_AR_V: _RecArray\nAR_LIST: list[npt.NDArray[np.int64]]\n\nrecord: np.record\nfile_obj: io.BufferedIO... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\rec.pyi | rec.pyi | Other | 3,549 | 0.85 | 0 | 0 | python-kit | 679 | 2025-05-26T09:58:11.934183 | MIT | true | 81e0647b503f20e932a8283014bd38f9 |
from typing import Any, Literal, TypeAlias, assert_type\n\nimport numpy as np\n\n_1: TypeAlias = Literal[1]\n\nb: np.bool\nu8: np.uint64\ni8: np.int64\nf8: np.float64\nc8: np.complex64\nc16: np.complex128\nm: np.timedelta64\nU: np.str_\nS: np.bytes_\nV: np.void\nO: np.object_ # cannot exists at runtime\n\narray_nd: np... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\scalars.pyi | scalars.pyi | Other | 6,569 | 0.95 | 0 | 0.11465 | vue-tools | 224 | 2023-10-20T09:00:50.649771 | GPL-3.0 | true | c6a0eb4d12239b0c537f9e49365684b0 |
from typing import Any, NamedTuple, assert_type\n\nimport numpy as np\n\n# Subtype of tuple[int, int]\nclass XYGrid(NamedTuple):\n x_axis: int\n y_axis: int\n\narr: np.ndarray[XYGrid, Any]\n\n# Test shape property matches shape typevar\nassert_type(arr.shape, XYGrid)\n | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\shape.pyi | shape.pyi | Other | 275 | 0.95 | 0.076923 | 0.222222 | node-utils | 70 | 2025-06-21T13:22:44.915229 | Apache-2.0 | true | f6ad799ef9d51d3830f4227a67c0daf3 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\ni8: np.int64\nf8: np.float64\n\nAR_b: npt.NDArray[np.bool]\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\n\nAR_LIKE_f8: list[float]\n\nassert_type(np.take_along_axis(AR_f8, AR_i8, axis=1), npt.NDArray[np.float64])\n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\shape_base.pyi | shape_base.pyi | Other | 2,058 | 0.85 | 0 | 0 | awesome-app | 683 | 2024-12-30T10:16:53.149178 | MIT | true | e0fe92cfcb2daacfbc69ea0915f57405 |
from typing import Any, assert_type\n\nimport numpy as np\nimport numpy.typing as npt\n\nAR_f8: npt.NDArray[np.float64]\nAR_LIKE_f: list[float]\ninterface_dict: dict[str, Any]\n\nassert_type(np.lib.stride_tricks.as_strided(AR_f8), npt.NDArray[np.float64])\nassert_type(np.lib.stride_tricks.as_strided(AR_LIKE_f), npt.NDA... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\stride_tricks.pyi | stride_tricks.pyi | Other | 1,342 | 0.85 | 0 | 0 | react-lib | 880 | 2025-07-09T16:32:07.627431 | BSD-3-Clause | true | 5325010e839b42746a47ac5a96112e35 |
from typing import TypeAlias, assert_type\n\nimport numpy as np\nimport numpy._typing as np_t\nimport numpy.typing as npt\n\nAR_T_alias: TypeAlias = np.ndarray[np_t._AnyShape, np.dtypes.StringDType]\nAR_TU_alias: TypeAlias = AR_T_alias | npt.NDArray[np.str_]\n\nAR_U: npt.NDArray[np.str_]\nAR_S: npt.NDArray[np.bytes_]\n... | .venv\Lib\site-packages\numpy\typing\tests\data\reveal\strings.pyi | strings.pyi | Other | 9,743 | 0.85 | 0 | 0 | awesome-app | 513 | 2024-07-15T05:43:29.237934 | Apache-2.0 | true | 91f201ff838c5f42af0a51b7835c81a5 |
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