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
values | is_test bool 2
classes | file_hash stringlengths 32 32 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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["Complex"]\nnp.typecodes["All"]\n | .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.random.SeedSequence(0)\nSEED_MT19937: np.random.MT19937 = np.random.MT19937(0)\nSEED_PCG64: np.random.PCG64 = np.random.PCG64(0)\nSEED_PHILOX: np.random.Philox = np.random.Philox(0)\nSEED_SFC64: np.random.SFC64 = np.random.SFC64(0)\n\n# default rng\nnp.random.default_rng()\nnp.random.default_rng(SEED_NONE)\nnp.random.default_rng(SEED_INT)\nnp.random.default_rng(SEED_ARR)\nnp.random.default_rng(SEED_ARRLIKE)\nnp.random.default_rng(SEED_SEED_SEQ)\nnp.random.default_rng(SEED_MT19937)\nnp.random.default_rng(SEED_PCG64)\nnp.random.default_rng(SEED_PHILOX)\nnp.random.default_rng(SEED_SFC64)\n\n# Seed Sequence\nnp.random.SeedSequence(SEED_NONE)\nnp.random.SeedSequence(SEED_INT)\nnp.random.SeedSequence(SEED_ARR)\nnp.random.SeedSequence(SEED_ARRLIKE)\n\n# Bit Generators\nnp.random.MT19937(SEED_NONE)\nnp.random.MT19937(SEED_INT)\nnp.random.MT19937(SEED_ARR)\nnp.random.MT19937(SEED_ARRLIKE)\nnp.random.MT19937(SEED_SEED_SEQ)\n\nnp.random.PCG64(SEED_NONE)\nnp.random.PCG64(SEED_INT)\nnp.random.PCG64(SEED_ARR)\nnp.random.PCG64(SEED_ARRLIKE)\nnp.random.PCG64(SEED_SEED_SEQ)\n\nnp.random.Philox(SEED_NONE)\nnp.random.Philox(SEED_INT)\nnp.random.Philox(SEED_ARR)\nnp.random.Philox(SEED_ARRLIKE)\nnp.random.Philox(SEED_SEED_SEQ)\n\nnp.random.SFC64(SEED_NONE)\nnp.random.SFC64(SEED_INT)\nnp.random.SFC64(SEED_ARR)\nnp.random.SFC64(SEED_ARRLIKE)\nnp.random.SFC64(SEED_SEED_SEQ)\n\nseed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence(SEED_NONE)\nseed_seq.spawn(10)\nseed_seq.generate_state(3)\nseed_seq.generate_state(3, "u4")\nseed_seq.generate_state(3, "uint32")\nseed_seq.generate_state(3, "u8")\nseed_seq.generate_state(3, "uint64")\nseed_seq.generate_state(3, np.uint32)\nseed_seq.generate_state(3, np.uint64)\n\n\ndef_gen: np.random.Generator = np.random.default_rng()\n\nD_arr_0p1: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.1])\nD_arr_0p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.5])\nD_arr_0p9: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.9])\nD_arr_1p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.5])\nI_arr_10: np.ndarray[Any, np.dtype[np.int_]] = np.array([10], dtype=np.int_)\nI_arr_20: np.ndarray[Any, np.dtype[np.int_]] = np.array([20], dtype=np.int_)\nD_arr_like_0p1: list[float] = [0.1]\nD_arr_like_0p5: list[float] = [0.5]\nD_arr_like_0p9: list[float] = [0.9]\nD_arr_like_1p5: list[float] = [1.5]\nI_arr_like_10: list[int] = [10]\nI_arr_like_20: list[int] = [20]\nD_2D_like: list[list[float]] = [[1, 2], [2, 3], [3, 4], [4, 5.1]]\nD_2D: np.ndarray[Any, np.dtype[np.float64]] = np.array(D_2D_like)\n\nS_out: np.ndarray[Any, np.dtype[np.float32]] = np.empty(1, dtype=np.float32)\nD_out: np.ndarray[Any, np.dtype[np.float64]] = np.empty(1)\n\ndef_gen.standard_normal()\ndef_gen.standard_normal(dtype=np.float32)\ndef_gen.standard_normal(dtype="float32")\ndef_gen.standard_normal(dtype="double")\ndef_gen.standard_normal(dtype=np.float64)\ndef_gen.standard_normal(size=None)\ndef_gen.standard_normal(size=1)\ndef_gen.standard_normal(size=1, dtype=np.float32)\ndef_gen.standard_normal(size=1, dtype="f4")\ndef_gen.standard_normal(size=1, dtype="float32", out=S_out)\ndef_gen.standard_normal(dtype=np.float32, out=S_out)\ndef_gen.standard_normal(size=1, dtype=np.float64)\ndef_gen.standard_normal(size=1, dtype="float64")\ndef_gen.standard_normal(size=1, dtype="f8")\ndef_gen.standard_normal(out=D_out)\ndef_gen.standard_normal(size=1, dtype="float64")\ndef_gen.standard_normal(size=1, dtype="float64", out=D_out)\n\ndef_gen.random()\ndef_gen.random(dtype=np.float32)\ndef_gen.random(dtype="float32")\ndef_gen.random(dtype="double")\ndef_gen.random(dtype=np.float64)\ndef_gen.random(size=None)\ndef_gen.random(size=1)\ndef_gen.random(size=1, dtype=np.float32)\ndef_gen.random(size=1, dtype="f4")\ndef_gen.random(size=1, dtype="float32", out=S_out)\ndef_gen.random(dtype=np.float32, out=S_out)\ndef_gen.random(size=1, dtype=np.float64)\ndef_gen.random(size=1, dtype="float64")\ndef_gen.random(size=1, dtype="f8")\ndef_gen.random(out=D_out)\ndef_gen.random(size=1, dtype="float64")\ndef_gen.random(size=1, dtype="float64", out=D_out)\n\ndef_gen.standard_cauchy()\ndef_gen.standard_cauchy(size=None)\ndef_gen.standard_cauchy(size=1)\n\ndef_gen.standard_exponential()\ndef_gen.standard_exponential(method="inv")\ndef_gen.standard_exponential(dtype=np.float32)\ndef_gen.standard_exponential(dtype="float32")\ndef_gen.standard_exponential(dtype="double")\ndef_gen.standard_exponential(dtype=np.float64)\ndef_gen.standard_exponential(size=None)\ndef_gen.standard_exponential(size=None, method="inv")\ndef_gen.standard_exponential(size=1, method="inv")\ndef_gen.standard_exponential(size=1, dtype=np.float32)\ndef_gen.standard_exponential(size=1, dtype="f4", method="inv")\ndef_gen.standard_exponential(size=1, dtype="float32", out=S_out)\ndef_gen.standard_exponential(dtype=np.float32, out=S_out)\ndef_gen.standard_exponential(size=1, dtype=np.float64, method="inv")\ndef_gen.standard_exponential(size=1, dtype="float64")\ndef_gen.standard_exponential(size=1, dtype="f8")\ndef_gen.standard_exponential(out=D_out)\ndef_gen.standard_exponential(size=1, dtype="float64")\ndef_gen.standard_exponential(size=1, dtype="float64", out=D_out)\n\ndef_gen.zipf(1.5)\ndef_gen.zipf(1.5, size=None)\ndef_gen.zipf(1.5, size=1)\ndef_gen.zipf(D_arr_1p5)\ndef_gen.zipf(D_arr_1p5, size=1)\ndef_gen.zipf(D_arr_like_1p5)\ndef_gen.zipf(D_arr_like_1p5, size=1)\n\ndef_gen.weibull(0.5)\ndef_gen.weibull(0.5, size=None)\ndef_gen.weibull(0.5, size=1)\ndef_gen.weibull(D_arr_0p5)\ndef_gen.weibull(D_arr_0p5, size=1)\ndef_gen.weibull(D_arr_like_0p5)\ndef_gen.weibull(D_arr_like_0p5, size=1)\n\ndef_gen.standard_t(0.5)\ndef_gen.standard_t(0.5, size=None)\ndef_gen.standard_t(0.5, size=1)\ndef_gen.standard_t(D_arr_0p5)\ndef_gen.standard_t(D_arr_0p5, size=1)\ndef_gen.standard_t(D_arr_like_0p5)\ndef_gen.standard_t(D_arr_like_0p5, size=1)\n\ndef_gen.poisson(0.5)\ndef_gen.poisson(0.5, size=None)\ndef_gen.poisson(0.5, size=1)\ndef_gen.poisson(D_arr_0p5)\ndef_gen.poisson(D_arr_0p5, size=1)\ndef_gen.poisson(D_arr_like_0p5)\ndef_gen.poisson(D_arr_like_0p5, size=1)\n\ndef_gen.power(0.5)\ndef_gen.power(0.5, size=None)\ndef_gen.power(0.5, size=1)\ndef_gen.power(D_arr_0p5)\ndef_gen.power(D_arr_0p5, size=1)\ndef_gen.power(D_arr_like_0p5)\ndef_gen.power(D_arr_like_0p5, size=1)\n\ndef_gen.pareto(0.5)\ndef_gen.pareto(0.5, size=None)\ndef_gen.pareto(0.5, size=1)\ndef_gen.pareto(D_arr_0p5)\ndef_gen.pareto(D_arr_0p5, size=1)\ndef_gen.pareto(D_arr_like_0p5)\ndef_gen.pareto(D_arr_like_0p5, size=1)\n\ndef_gen.chisquare(0.5)\ndef_gen.chisquare(0.5, size=None)\ndef_gen.chisquare(0.5, size=1)\ndef_gen.chisquare(D_arr_0p5)\ndef_gen.chisquare(D_arr_0p5, size=1)\ndef_gen.chisquare(D_arr_like_0p5)\ndef_gen.chisquare(D_arr_like_0p5, size=1)\n\ndef_gen.exponential(0.5)\ndef_gen.exponential(0.5, size=None)\ndef_gen.exponential(0.5, size=1)\ndef_gen.exponential(D_arr_0p5)\ndef_gen.exponential(D_arr_0p5, size=1)\ndef_gen.exponential(D_arr_like_0p5)\ndef_gen.exponential(D_arr_like_0p5, size=1)\n\ndef_gen.geometric(0.5)\ndef_gen.geometric(0.5, size=None)\ndef_gen.geometric(0.5, size=1)\ndef_gen.geometric(D_arr_0p5)\ndef_gen.geometric(D_arr_0p5, size=1)\ndef_gen.geometric(D_arr_like_0p5)\ndef_gen.geometric(D_arr_like_0p5, size=1)\n\ndef_gen.logseries(0.5)\ndef_gen.logseries(0.5, size=None)\ndef_gen.logseries(0.5, size=1)\ndef_gen.logseries(D_arr_0p5)\ndef_gen.logseries(D_arr_0p5, size=1)\ndef_gen.logseries(D_arr_like_0p5)\ndef_gen.logseries(D_arr_like_0p5, size=1)\n\ndef_gen.rayleigh(0.5)\ndef_gen.rayleigh(0.5, size=None)\ndef_gen.rayleigh(0.5, size=1)\ndef_gen.rayleigh(D_arr_0p5)\ndef_gen.rayleigh(D_arr_0p5, size=1)\ndef_gen.rayleigh(D_arr_like_0p5)\ndef_gen.rayleigh(D_arr_like_0p5, size=1)\n\ndef_gen.standard_gamma(0.5)\ndef_gen.standard_gamma(0.5, size=None)\ndef_gen.standard_gamma(0.5, dtype="float32")\ndef_gen.standard_gamma(0.5, size=None, dtype="float32")\ndef_gen.standard_gamma(0.5, size=1)\ndef_gen.standard_gamma(D_arr_0p5)\ndef_gen.standard_gamma(D_arr_0p5, dtype="f4")\ndef_gen.standard_gamma(0.5, size=1, dtype="float32", out=S_out)\ndef_gen.standard_gamma(D_arr_0p5, dtype=np.float32, out=S_out)\ndef_gen.standard_gamma(D_arr_0p5, size=1)\ndef_gen.standard_gamma(D_arr_like_0p5)\ndef_gen.standard_gamma(D_arr_like_0p5, size=1)\ndef_gen.standard_gamma(0.5, out=D_out)\ndef_gen.standard_gamma(D_arr_like_0p5, out=D_out)\ndef_gen.standard_gamma(D_arr_like_0p5, size=1)\ndef_gen.standard_gamma(D_arr_like_0p5, size=1, out=D_out, dtype=np.float64)\n\ndef_gen.vonmises(0.5, 0.5)\ndef_gen.vonmises(0.5, 0.5, size=None)\ndef_gen.vonmises(0.5, 0.5, size=1)\ndef_gen.vonmises(D_arr_0p5, 0.5)\ndef_gen.vonmises(0.5, D_arr_0p5)\ndef_gen.vonmises(D_arr_0p5, 0.5, size=1)\ndef_gen.vonmises(0.5, D_arr_0p5, size=1)\ndef_gen.vonmises(D_arr_like_0p5, 0.5)\ndef_gen.vonmises(0.5, D_arr_like_0p5)\ndef_gen.vonmises(D_arr_0p5, D_arr_0p5)\ndef_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.vonmises(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.wald(0.5, 0.5)\ndef_gen.wald(0.5, 0.5, size=None)\ndef_gen.wald(0.5, 0.5, size=1)\ndef_gen.wald(D_arr_0p5, 0.5)\ndef_gen.wald(0.5, D_arr_0p5)\ndef_gen.wald(D_arr_0p5, 0.5, size=1)\ndef_gen.wald(0.5, D_arr_0p5, size=1)\ndef_gen.wald(D_arr_like_0p5, 0.5)\ndef_gen.wald(0.5, D_arr_like_0p5)\ndef_gen.wald(D_arr_0p5, D_arr_0p5)\ndef_gen.wald(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.wald(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.wald(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.uniform(0.5, 0.5)\ndef_gen.uniform(0.5, 0.5, size=None)\ndef_gen.uniform(0.5, 0.5, size=1)\ndef_gen.uniform(D_arr_0p5, 0.5)\ndef_gen.uniform(0.5, D_arr_0p5)\ndef_gen.uniform(D_arr_0p5, 0.5, size=1)\ndef_gen.uniform(0.5, D_arr_0p5, size=1)\ndef_gen.uniform(D_arr_like_0p5, 0.5)\ndef_gen.uniform(0.5, D_arr_like_0p5)\ndef_gen.uniform(D_arr_0p5, D_arr_0p5)\ndef_gen.uniform(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.uniform(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.beta(0.5, 0.5)\ndef_gen.beta(0.5, 0.5, size=None)\ndef_gen.beta(0.5, 0.5, size=1)\ndef_gen.beta(D_arr_0p5, 0.5)\ndef_gen.beta(0.5, D_arr_0p5)\ndef_gen.beta(D_arr_0p5, 0.5, size=1)\ndef_gen.beta(0.5, D_arr_0p5, size=1)\ndef_gen.beta(D_arr_like_0p5, 0.5)\ndef_gen.beta(0.5, D_arr_like_0p5)\ndef_gen.beta(D_arr_0p5, D_arr_0p5)\ndef_gen.beta(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.beta(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.beta(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.f(0.5, 0.5)\ndef_gen.f(0.5, 0.5, size=None)\ndef_gen.f(0.5, 0.5, size=1)\ndef_gen.f(D_arr_0p5, 0.5)\ndef_gen.f(0.5, D_arr_0p5)\ndef_gen.f(D_arr_0p5, 0.5, size=1)\ndef_gen.f(0.5, D_arr_0p5, size=1)\ndef_gen.f(D_arr_like_0p5, 0.5)\ndef_gen.f(0.5, D_arr_like_0p5)\ndef_gen.f(D_arr_0p5, D_arr_0p5)\ndef_gen.f(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.f(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.f(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.gamma(0.5, 0.5)\ndef_gen.gamma(0.5, 0.5, size=None)\ndef_gen.gamma(0.5, 0.5, size=1)\ndef_gen.gamma(D_arr_0p5, 0.5)\ndef_gen.gamma(0.5, D_arr_0p5)\ndef_gen.gamma(D_arr_0p5, 0.5, size=1)\ndef_gen.gamma(0.5, D_arr_0p5, size=1)\ndef_gen.gamma(D_arr_like_0p5, 0.5)\ndef_gen.gamma(0.5, D_arr_like_0p5)\ndef_gen.gamma(D_arr_0p5, D_arr_0p5)\ndef_gen.gamma(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.gamma(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.gumbel(0.5, 0.5)\ndef_gen.gumbel(0.5, 0.5, size=None)\ndef_gen.gumbel(0.5, 0.5, size=1)\ndef_gen.gumbel(D_arr_0p5, 0.5)\ndef_gen.gumbel(0.5, D_arr_0p5)\ndef_gen.gumbel(D_arr_0p5, 0.5, size=1)\ndef_gen.gumbel(0.5, D_arr_0p5, size=1)\ndef_gen.gumbel(D_arr_like_0p5, 0.5)\ndef_gen.gumbel(0.5, D_arr_like_0p5)\ndef_gen.gumbel(D_arr_0p5, D_arr_0p5)\ndef_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.gumbel(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.laplace(0.5, 0.5)\ndef_gen.laplace(0.5, 0.5, size=None)\ndef_gen.laplace(0.5, 0.5, size=1)\ndef_gen.laplace(D_arr_0p5, 0.5)\ndef_gen.laplace(0.5, D_arr_0p5)\ndef_gen.laplace(D_arr_0p5, 0.5, size=1)\ndef_gen.laplace(0.5, D_arr_0p5, size=1)\ndef_gen.laplace(D_arr_like_0p5, 0.5)\ndef_gen.laplace(0.5, D_arr_like_0p5)\ndef_gen.laplace(D_arr_0p5, D_arr_0p5)\ndef_gen.laplace(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.laplace(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.logistic(0.5, 0.5)\ndef_gen.logistic(0.5, 0.5, size=None)\ndef_gen.logistic(0.5, 0.5, size=1)\ndef_gen.logistic(D_arr_0p5, 0.5)\ndef_gen.logistic(0.5, D_arr_0p5)\ndef_gen.logistic(D_arr_0p5, 0.5, size=1)\ndef_gen.logistic(0.5, D_arr_0p5, size=1)\ndef_gen.logistic(D_arr_like_0p5, 0.5)\ndef_gen.logistic(0.5, D_arr_like_0p5)\ndef_gen.logistic(D_arr_0p5, D_arr_0p5)\ndef_gen.logistic(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.logistic(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.lognormal(0.5, 0.5)\ndef_gen.lognormal(0.5, 0.5, size=None)\ndef_gen.lognormal(0.5, 0.5, size=1)\ndef_gen.lognormal(D_arr_0p5, 0.5)\ndef_gen.lognormal(0.5, D_arr_0p5)\ndef_gen.lognormal(D_arr_0p5, 0.5, size=1)\ndef_gen.lognormal(0.5, D_arr_0p5, size=1)\ndef_gen.lognormal(D_arr_like_0p5, 0.5)\ndef_gen.lognormal(0.5, D_arr_like_0p5)\ndef_gen.lognormal(D_arr_0p5, D_arr_0p5)\ndef_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.lognormal(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.noncentral_chisquare(0.5, 0.5)\ndef_gen.noncentral_chisquare(0.5, 0.5, size=None)\ndef_gen.noncentral_chisquare(0.5, 0.5, size=1)\ndef_gen.noncentral_chisquare(D_arr_0p5, 0.5)\ndef_gen.noncentral_chisquare(0.5, D_arr_0p5)\ndef_gen.noncentral_chisquare(D_arr_0p5, 0.5, size=1)\ndef_gen.noncentral_chisquare(0.5, D_arr_0p5, size=1)\ndef_gen.noncentral_chisquare(D_arr_like_0p5, 0.5)\ndef_gen.noncentral_chisquare(0.5, D_arr_like_0p5)\ndef_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5)\ndef_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.normal(0.5, 0.5)\ndef_gen.normal(0.5, 0.5, size=None)\ndef_gen.normal(0.5, 0.5, size=1)\ndef_gen.normal(D_arr_0p5, 0.5)\ndef_gen.normal(0.5, D_arr_0p5)\ndef_gen.normal(D_arr_0p5, 0.5, size=1)\ndef_gen.normal(0.5, D_arr_0p5, size=1)\ndef_gen.normal(D_arr_like_0p5, 0.5)\ndef_gen.normal(0.5, D_arr_like_0p5)\ndef_gen.normal(D_arr_0p5, D_arr_0p5)\ndef_gen.normal(D_arr_like_0p5, D_arr_like_0p5)\ndef_gen.normal(D_arr_0p5, D_arr_0p5, size=1)\ndef_gen.normal(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\ndef_gen.triangular(0.1, 0.5, 0.9)\ndef_gen.triangular(0.1, 0.5, 0.9, size=None)\ndef_gen.triangular(0.1, 0.5, 0.9, size=1)\ndef_gen.triangular(D_arr_0p1, 0.5, 0.9)\ndef_gen.triangular(0.1, D_arr_0p5, 0.9)\ndef_gen.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)\ndef_gen.triangular(0.1, D_arr_0p5, 0.9, size=1)\ndef_gen.triangular(D_arr_like_0p1, 0.5, D_arr_0p9)\ndef_gen.triangular(0.5, D_arr_like_0p5, 0.9)\ndef_gen.triangular(D_arr_0p1, D_arr_0p5, 0.9)\ndef_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9)\ndef_gen.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)\ndef_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)\n\ndef_gen.noncentral_f(0.1, 0.5, 0.9)\ndef_gen.noncentral_f(0.1, 0.5, 0.9, size=None)\ndef_gen.noncentral_f(0.1, 0.5, 0.9, size=1)\ndef_gen.noncentral_f(D_arr_0p1, 0.5, 0.9)\ndef_gen.noncentral_f(0.1, D_arr_0p5, 0.9)\ndef_gen.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)\ndef_gen.noncentral_f(0.1, D_arr_0p5, 0.9, size=1)\ndef_gen.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9)\ndef_gen.noncentral_f(0.5, D_arr_like_0p5, 0.9)\ndef_gen.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9)\ndef_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9)\ndef_gen.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)\ndef_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)\n\ndef_gen.binomial(10, 0.5)\ndef_gen.binomial(10, 0.5, size=None)\ndef_gen.binomial(10, 0.5, size=1)\ndef_gen.binomial(I_arr_10, 0.5)\ndef_gen.binomial(10, D_arr_0p5)\ndef_gen.binomial(I_arr_10, 0.5, size=1)\ndef_gen.binomial(10, D_arr_0p5, size=1)\ndef_gen.binomial(I_arr_like_10, 0.5)\ndef_gen.binomial(10, D_arr_like_0p5)\ndef_gen.binomial(I_arr_10, D_arr_0p5)\ndef_gen.binomial(I_arr_like_10, D_arr_like_0p5)\ndef_gen.binomial(I_arr_10, D_arr_0p5, size=1)\ndef_gen.binomial(I_arr_like_10, D_arr_like_0p5, size=1)\n\ndef_gen.negative_binomial(10, 0.5)\ndef_gen.negative_binomial(10, 0.5, size=None)\ndef_gen.negative_binomial(10, 0.5, size=1)\ndef_gen.negative_binomial(I_arr_10, 0.5)\ndef_gen.negative_binomial(10, D_arr_0p5)\ndef_gen.negative_binomial(I_arr_10, 0.5, size=1)\ndef_gen.negative_binomial(10, D_arr_0p5, size=1)\ndef_gen.negative_binomial(I_arr_like_10, 0.5)\ndef_gen.negative_binomial(10, D_arr_like_0p5)\ndef_gen.negative_binomial(I_arr_10, D_arr_0p5)\ndef_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5)\ndef_gen.negative_binomial(I_arr_10, D_arr_0p5, size=1)\ndef_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1)\n\ndef_gen.hypergeometric(20, 20, 10)\ndef_gen.hypergeometric(20, 20, 10, size=None)\ndef_gen.hypergeometric(20, 20, 10, size=1)\ndef_gen.hypergeometric(I_arr_20, 20, 10)\ndef_gen.hypergeometric(20, I_arr_20, 10)\ndef_gen.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1)\ndef_gen.hypergeometric(20, I_arr_20, 10, size=1)\ndef_gen.hypergeometric(I_arr_like_20, 20, I_arr_10)\ndef_gen.hypergeometric(20, I_arr_like_20, 10)\ndef_gen.hypergeometric(I_arr_20, I_arr_20, 10)\ndef_gen.hypergeometric(I_arr_like_20, I_arr_like_20, 10)\ndef_gen.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1)\ndef_gen.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1)\n\nI_int64_100: np.ndarray[Any, np.dtype[np.int64]] = np.array([100], dtype=np.int64)\n\ndef_gen.integers(0, 100)\ndef_gen.integers(100)\ndef_gen.integers([100])\ndef_gen.integers(0, [100])\n\nI_bool_low: np.ndarray[Any, np.dtype[np.bool]] = np.array([0], dtype=np.bool)\nI_bool_low_like: list[int] = [0]\nI_bool_high_open: np.ndarray[Any, np.dtype[np.bool]] = np.array([1], dtype=np.bool)\nI_bool_high_closed: np.ndarray[Any, np.dtype[np.bool]] = np.array([1], dtype=np.bool)\n\ndef_gen.integers(2, dtype=bool)\ndef_gen.integers(0, 2, dtype=bool)\ndef_gen.integers(1, dtype=bool, endpoint=True)\ndef_gen.integers(0, 1, dtype=bool, endpoint=True)\ndef_gen.integers(I_bool_low_like, 1, dtype=bool, endpoint=True)\ndef_gen.integers(I_bool_high_open, dtype=bool)\ndef_gen.integers(I_bool_low, I_bool_high_open, dtype=bool)\ndef_gen.integers(0, I_bool_high_open, dtype=bool)\ndef_gen.integers(I_bool_high_closed, dtype=bool, endpoint=True)\ndef_gen.integers(I_bool_low, I_bool_high_closed, dtype=bool, endpoint=True)\ndef_gen.integers(0, I_bool_high_closed, dtype=bool, endpoint=True)\n\ndef_gen.integers(2, dtype=np.bool)\ndef_gen.integers(0, 2, dtype=np.bool)\ndef_gen.integers(1, dtype=np.bool, endpoint=True)\ndef_gen.integers(0, 1, dtype=np.bool, endpoint=True)\ndef_gen.integers(I_bool_low_like, 1, dtype=np.bool, endpoint=True)\ndef_gen.integers(I_bool_high_open, dtype=np.bool)\ndef_gen.integers(I_bool_low, I_bool_high_open, dtype=np.bool)\ndef_gen.integers(0, I_bool_high_open, dtype=np.bool)\ndef_gen.integers(I_bool_high_closed, dtype=np.bool, endpoint=True)\ndef_gen.integers(I_bool_low, I_bool_high_closed, dtype=np.bool, endpoint=True)\ndef_gen.integers(0, I_bool_high_closed, dtype=np.bool, endpoint=True)\n\nI_u1_low: np.ndarray[Any, np.dtype[np.uint8]] = np.array([0], dtype=np.uint8)\nI_u1_low_like: list[int] = [0]\nI_u1_high_open: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)\nI_u1_high_closed: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8)\n\ndef_gen.integers(256, dtype="u1")\ndef_gen.integers(0, 256, dtype="u1")\ndef_gen.integers(255, dtype="u1", endpoint=True)\ndef_gen.integers(0, 255, dtype="u1", endpoint=True)\ndef_gen.integers(I_u1_low_like, 255, dtype="u1", endpoint=True)\ndef_gen.integers(I_u1_high_open, dtype="u1")\ndef_gen.integers(I_u1_low, I_u1_high_open, dtype="u1")\ndef_gen.integers(0, I_u1_high_open, dtype="u1")\ndef_gen.integers(I_u1_high_closed, dtype="u1", endpoint=True)\ndef_gen.integers(I_u1_low, I_u1_high_closed, dtype="u1", endpoint=True)\ndef_gen.integers(0, I_u1_high_closed, dtype="u1", endpoint=True)\n\ndef_gen.integers(256, dtype="uint8")\ndef_gen.integers(0, 256, dtype="uint8")\ndef_gen.integers(255, dtype="uint8", endpoint=True)\ndef_gen.integers(0, 255, dtype="uint8", endpoint=True)\ndef_gen.integers(I_u1_low_like, 255, dtype="uint8", endpoint=True)\ndef_gen.integers(I_u1_high_open, dtype="uint8")\ndef_gen.integers(I_u1_low, I_u1_high_open, dtype="uint8")\ndef_gen.integers(0, I_u1_high_open, dtype="uint8")\ndef_gen.integers(I_u1_high_closed, dtype="uint8", endpoint=True)\ndef_gen.integers(I_u1_low, I_u1_high_closed, dtype="uint8", endpoint=True)\ndef_gen.integers(0, I_u1_high_closed, dtype="uint8", endpoint=True)\n\ndef_gen.integers(256, dtype=np.uint8)\ndef_gen.integers(0, 256, dtype=np.uint8)\ndef_gen.integers(255, dtype=np.uint8, endpoint=True)\ndef_gen.integers(0, 255, dtype=np.uint8, endpoint=True)\ndef_gen.integers(I_u1_low_like, 255, dtype=np.uint8, endpoint=True)\ndef_gen.integers(I_u1_high_open, dtype=np.uint8)\ndef_gen.integers(I_u1_low, I_u1_high_open, dtype=np.uint8)\ndef_gen.integers(0, I_u1_high_open, dtype=np.uint8)\ndef_gen.integers(I_u1_high_closed, dtype=np.uint8, endpoint=True)\ndef_gen.integers(I_u1_low, I_u1_high_closed, dtype=np.uint8, endpoint=True)\ndef_gen.integers(0, I_u1_high_closed, dtype=np.uint8, endpoint=True)\n\nI_u2_low: np.ndarray[Any, np.dtype[np.uint16]] = np.array([0], dtype=np.uint16)\nI_u2_low_like: list[int] = [0]\nI_u2_high_open: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)\nI_u2_high_closed: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16)\n\ndef_gen.integers(65536, dtype="u2")\ndef_gen.integers(0, 65536, dtype="u2")\ndef_gen.integers(65535, dtype="u2", endpoint=True)\ndef_gen.integers(0, 65535, dtype="u2", endpoint=True)\ndef_gen.integers(I_u2_low_like, 65535, dtype="u2", endpoint=True)\ndef_gen.integers(I_u2_high_open, dtype="u2")\ndef_gen.integers(I_u2_low, I_u2_high_open, dtype="u2")\ndef_gen.integers(0, I_u2_high_open, dtype="u2")\ndef_gen.integers(I_u2_high_closed, dtype="u2", endpoint=True)\ndef_gen.integers(I_u2_low, I_u2_high_closed, dtype="u2", endpoint=True)\ndef_gen.integers(0, I_u2_high_closed, dtype="u2", endpoint=True)\n\ndef_gen.integers(65536, dtype="uint16")\ndef_gen.integers(0, 65536, dtype="uint16")\ndef_gen.integers(65535, dtype="uint16", endpoint=True)\ndef_gen.integers(0, 65535, dtype="uint16", endpoint=True)\ndef_gen.integers(I_u2_low_like, 65535, dtype="uint16", endpoint=True)\ndef_gen.integers(I_u2_high_open, dtype="uint16")\ndef_gen.integers(I_u2_low, I_u2_high_open, dtype="uint16")\ndef_gen.integers(0, I_u2_high_open, dtype="uint16")\ndef_gen.integers(I_u2_high_closed, dtype="uint16", endpoint=True)\ndef_gen.integers(I_u2_low, I_u2_high_closed, dtype="uint16", endpoint=True)\ndef_gen.integers(0, I_u2_high_closed, dtype="uint16", endpoint=True)\n\ndef_gen.integers(65536, dtype=np.uint16)\ndef_gen.integers(0, 65536, dtype=np.uint16)\ndef_gen.integers(65535, dtype=np.uint16, endpoint=True)\ndef_gen.integers(0, 65535, dtype=np.uint16, endpoint=True)\ndef_gen.integers(I_u2_low_like, 65535, dtype=np.uint16, endpoint=True)\ndef_gen.integers(I_u2_high_open, dtype=np.uint16)\ndef_gen.integers(I_u2_low, I_u2_high_open, dtype=np.uint16)\ndef_gen.integers(0, I_u2_high_open, dtype=np.uint16)\ndef_gen.integers(I_u2_high_closed, dtype=np.uint16, endpoint=True)\ndef_gen.integers(I_u2_low, I_u2_high_closed, dtype=np.uint16, endpoint=True)\ndef_gen.integers(0, I_u2_high_closed, dtype=np.uint16, endpoint=True)\n\nI_u4_low: np.ndarray[Any, np.dtype[np.uint32]] = np.array([0], dtype=np.uint32)\nI_u4_low_like: list[int] = [0]\nI_u4_high_open: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)\nI_u4_high_closed: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32)\n\ndef_gen.integers(4294967296, dtype="u4")\ndef_gen.integers(0, 4294967296, dtype="u4")\ndef_gen.integers(4294967295, dtype="u4", endpoint=True)\ndef_gen.integers(0, 4294967295, dtype="u4", endpoint=True)\ndef_gen.integers(I_u4_low_like, 4294967295, dtype="u4", endpoint=True)\ndef_gen.integers(I_u4_high_open, dtype="u4")\ndef_gen.integers(I_u4_low, I_u4_high_open, dtype="u4")\ndef_gen.integers(0, I_u4_high_open, dtype="u4")\ndef_gen.integers(I_u4_high_closed, dtype="u4", endpoint=True)\ndef_gen.integers(I_u4_low, I_u4_high_closed, dtype="u4", endpoint=True)\ndef_gen.integers(0, I_u4_high_closed, dtype="u4", endpoint=True)\n\ndef_gen.integers(4294967296, dtype="uint32")\ndef_gen.integers(0, 4294967296, dtype="uint32")\ndef_gen.integers(4294967295, dtype="uint32", endpoint=True)\ndef_gen.integers(0, 4294967295, dtype="uint32", endpoint=True)\ndef_gen.integers(I_u4_low_like, 4294967295, dtype="uint32", endpoint=True)\ndef_gen.integers(I_u4_high_open, dtype="uint32")\ndef_gen.integers(I_u4_low, I_u4_high_open, dtype="uint32")\ndef_gen.integers(0, I_u4_high_open, dtype="uint32")\ndef_gen.integers(I_u4_high_closed, dtype="uint32", endpoint=True)\ndef_gen.integers(I_u4_low, I_u4_high_closed, dtype="uint32", endpoint=True)\ndef_gen.integers(0, I_u4_high_closed, dtype="uint32", endpoint=True)\n\ndef_gen.integers(4294967296, dtype=np.uint32)\ndef_gen.integers(0, 4294967296, dtype=np.uint32)\ndef_gen.integers(4294967295, dtype=np.uint32, endpoint=True)\ndef_gen.integers(0, 4294967295, dtype=np.uint32, endpoint=True)\ndef_gen.integers(I_u4_low_like, 4294967295, dtype=np.uint32, endpoint=True)\ndef_gen.integers(I_u4_high_open, dtype=np.uint32)\ndef_gen.integers(I_u4_low, I_u4_high_open, dtype=np.uint32)\ndef_gen.integers(0, I_u4_high_open, dtype=np.uint32)\ndef_gen.integers(I_u4_high_closed, dtype=np.uint32, endpoint=True)\ndef_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.uint32, endpoint=True)\ndef_gen.integers(0, I_u4_high_closed, dtype=np.uint32, endpoint=True)\n\nI_u8_low: np.ndarray[Any, np.dtype[np.uint64]] = np.array([0], dtype=np.uint64)\nI_u8_low_like: list[int] = [0]\nI_u8_high_open: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)\nI_u8_high_closed: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64)\n\ndef_gen.integers(18446744073709551616, dtype="u8")\ndef_gen.integers(0, 18446744073709551616, dtype="u8")\ndef_gen.integers(18446744073709551615, dtype="u8", endpoint=True)\ndef_gen.integers(0, 18446744073709551615, dtype="u8", endpoint=True)\ndef_gen.integers(I_u8_low_like, 18446744073709551615, dtype="u8", endpoint=True)\ndef_gen.integers(I_u8_high_open, dtype="u8")\ndef_gen.integers(I_u8_low, I_u8_high_open, dtype="u8")\ndef_gen.integers(0, I_u8_high_open, dtype="u8")\ndef_gen.integers(I_u8_high_closed, dtype="u8", endpoint=True)\ndef_gen.integers(I_u8_low, I_u8_high_closed, dtype="u8", endpoint=True)\ndef_gen.integers(0, I_u8_high_closed, dtype="u8", endpoint=True)\n\ndef_gen.integers(18446744073709551616, dtype="uint64")\ndef_gen.integers(0, 18446744073709551616, dtype="uint64")\ndef_gen.integers(18446744073709551615, dtype="uint64", endpoint=True)\ndef_gen.integers(0, 18446744073709551615, dtype="uint64", endpoint=True)\ndef_gen.integers(I_u8_low_like, 18446744073709551615, dtype="uint64", endpoint=True)\ndef_gen.integers(I_u8_high_open, dtype="uint64")\ndef_gen.integers(I_u8_low, I_u8_high_open, dtype="uint64")\ndef_gen.integers(0, I_u8_high_open, dtype="uint64")\ndef_gen.integers(I_u8_high_closed, dtype="uint64", endpoint=True)\ndef_gen.integers(I_u8_low, I_u8_high_closed, dtype="uint64", endpoint=True)\ndef_gen.integers(0, I_u8_high_closed, dtype="uint64", endpoint=True)\n\ndef_gen.integers(18446744073709551616, dtype=np.uint64)\ndef_gen.integers(0, 18446744073709551616, dtype=np.uint64)\ndef_gen.integers(18446744073709551615, dtype=np.uint64, endpoint=True)\ndef_gen.integers(0, 18446744073709551615, dtype=np.uint64, endpoint=True)\ndef_gen.integers(I_u8_low_like, 18446744073709551615, dtype=np.uint64, endpoint=True)\ndef_gen.integers(I_u8_high_open, dtype=np.uint64)\ndef_gen.integers(I_u8_low, I_u8_high_open, dtype=np.uint64)\ndef_gen.integers(0, I_u8_high_open, dtype=np.uint64)\ndef_gen.integers(I_u8_high_closed, dtype=np.uint64, endpoint=True)\ndef_gen.integers(I_u8_low, I_u8_high_closed, dtype=np.uint64, endpoint=True)\ndef_gen.integers(0, I_u8_high_closed, dtype=np.uint64, endpoint=True)\n\nI_i1_low: np.ndarray[Any, np.dtype[np.int8]] = np.array([-128], dtype=np.int8)\nI_i1_low_like: list[int] = [-128]\nI_i1_high_open: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)\nI_i1_high_closed: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8)\n\ndef_gen.integers(128, dtype="i1")\ndef_gen.integers(-128, 128, dtype="i1")\ndef_gen.integers(127, dtype="i1", endpoint=True)\ndef_gen.integers(-128, 127, dtype="i1", endpoint=True)\ndef_gen.integers(I_i1_low_like, 127, dtype="i1", endpoint=True)\ndef_gen.integers(I_i1_high_open, dtype="i1")\ndef_gen.integers(I_i1_low, I_i1_high_open, dtype="i1")\ndef_gen.integers(-128, I_i1_high_open, dtype="i1")\ndef_gen.integers(I_i1_high_closed, dtype="i1", endpoint=True)\ndef_gen.integers(I_i1_low, I_i1_high_closed, dtype="i1", endpoint=True)\ndef_gen.integers(-128, I_i1_high_closed, dtype="i1", endpoint=True)\n\ndef_gen.integers(128, dtype="int8")\ndef_gen.integers(-128, 128, dtype="int8")\ndef_gen.integers(127, dtype="int8", endpoint=True)\ndef_gen.integers(-128, 127, dtype="int8", endpoint=True)\ndef_gen.integers(I_i1_low_like, 127, dtype="int8", endpoint=True)\ndef_gen.integers(I_i1_high_open, dtype="int8")\ndef_gen.integers(I_i1_low, I_i1_high_open, dtype="int8")\ndef_gen.integers(-128, I_i1_high_open, dtype="int8")\ndef_gen.integers(I_i1_high_closed, dtype="int8", endpoint=True)\ndef_gen.integers(I_i1_low, I_i1_high_closed, dtype="int8", endpoint=True)\ndef_gen.integers(-128, I_i1_high_closed, dtype="int8", endpoint=True)\n\ndef_gen.integers(128, dtype=np.int8)\ndef_gen.integers(-128, 128, dtype=np.int8)\ndef_gen.integers(127, dtype=np.int8, endpoint=True)\ndef_gen.integers(-128, 127, dtype=np.int8, endpoint=True)\ndef_gen.integers(I_i1_low_like, 127, dtype=np.int8, endpoint=True)\ndef_gen.integers(I_i1_high_open, dtype=np.int8)\ndef_gen.integers(I_i1_low, I_i1_high_open, dtype=np.int8)\ndef_gen.integers(-128, I_i1_high_open, dtype=np.int8)\ndef_gen.integers(I_i1_high_closed, dtype=np.int8, endpoint=True)\ndef_gen.integers(I_i1_low, I_i1_high_closed, dtype=np.int8, endpoint=True)\ndef_gen.integers(-128, I_i1_high_closed, dtype=np.int8, endpoint=True)\n\nI_i2_low: np.ndarray[Any, np.dtype[np.int16]] = np.array([-32768], dtype=np.int16)\nI_i2_low_like: list[int] = [-32768]\nI_i2_high_open: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)\nI_i2_high_closed: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16)\n\ndef_gen.integers(32768, dtype="i2")\ndef_gen.integers(-32768, 32768, dtype="i2")\ndef_gen.integers(32767, dtype="i2", endpoint=True)\ndef_gen.integers(-32768, 32767, dtype="i2", endpoint=True)\ndef_gen.integers(I_i2_low_like, 32767, dtype="i2", endpoint=True)\ndef_gen.integers(I_i2_high_open, dtype="i2")\ndef_gen.integers(I_i2_low, I_i2_high_open, dtype="i2")\ndef_gen.integers(-32768, I_i2_high_open, dtype="i2")\ndef_gen.integers(I_i2_high_closed, dtype="i2", endpoint=True)\ndef_gen.integers(I_i2_low, I_i2_high_closed, dtype="i2", endpoint=True)\ndef_gen.integers(-32768, I_i2_high_closed, dtype="i2", endpoint=True)\n\ndef_gen.integers(32768, dtype="int16")\ndef_gen.integers(-32768, 32768, dtype="int16")\ndef_gen.integers(32767, dtype="int16", endpoint=True)\ndef_gen.integers(-32768, 32767, dtype="int16", endpoint=True)\ndef_gen.integers(I_i2_low_like, 32767, dtype="int16", endpoint=True)\ndef_gen.integers(I_i2_high_open, dtype="int16")\ndef_gen.integers(I_i2_low, I_i2_high_open, dtype="int16")\ndef_gen.integers(-32768, I_i2_high_open, dtype="int16")\ndef_gen.integers(I_i2_high_closed, dtype="int16", endpoint=True)\ndef_gen.integers(I_i2_low, I_i2_high_closed, dtype="int16", endpoint=True)\ndef_gen.integers(-32768, I_i2_high_closed, dtype="int16", endpoint=True)\n\ndef_gen.integers(32768, dtype=np.int16)\ndef_gen.integers(-32768, 32768, dtype=np.int16)\ndef_gen.integers(32767, dtype=np.int16, endpoint=True)\ndef_gen.integers(-32768, 32767, dtype=np.int16, endpoint=True)\ndef_gen.integers(I_i2_low_like, 32767, dtype=np.int16, endpoint=True)\ndef_gen.integers(I_i2_high_open, dtype=np.int16)\ndef_gen.integers(I_i2_low, I_i2_high_open, dtype=np.int16)\ndef_gen.integers(-32768, I_i2_high_open, dtype=np.int16)\ndef_gen.integers(I_i2_high_closed, dtype=np.int16, endpoint=True)\ndef_gen.integers(I_i2_low, I_i2_high_closed, dtype=np.int16, endpoint=True)\ndef_gen.integers(-32768, I_i2_high_closed, dtype=np.int16, endpoint=True)\n\nI_i4_low: np.ndarray[Any, np.dtype[np.int32]] = np.array([-2147483648], dtype=np.int32)\nI_i4_low_like: list[int] = [-2147483648]\nI_i4_high_open: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)\nI_i4_high_closed: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32)\n\ndef_gen.integers(2147483648, dtype="i4")\ndef_gen.integers(-2147483648, 2147483648, dtype="i4")\ndef_gen.integers(2147483647, dtype="i4", endpoint=True)\ndef_gen.integers(-2147483648, 2147483647, dtype="i4", endpoint=True)\ndef_gen.integers(I_i4_low_like, 2147483647, dtype="i4", endpoint=True)\ndef_gen.integers(I_i4_high_open, dtype="i4")\ndef_gen.integers(I_i4_low, I_i4_high_open, dtype="i4")\ndef_gen.integers(-2147483648, I_i4_high_open, dtype="i4")\ndef_gen.integers(I_i4_high_closed, dtype="i4", endpoint=True)\ndef_gen.integers(I_i4_low, I_i4_high_closed, dtype="i4", endpoint=True)\ndef_gen.integers(-2147483648, I_i4_high_closed, dtype="i4", endpoint=True)\n\ndef_gen.integers(2147483648, dtype="int32")\ndef_gen.integers(-2147483648, 2147483648, dtype="int32")\ndef_gen.integers(2147483647, dtype="int32", endpoint=True)\ndef_gen.integers(-2147483648, 2147483647, dtype="int32", endpoint=True)\ndef_gen.integers(I_i4_low_like, 2147483647, dtype="int32", endpoint=True)\ndef_gen.integers(I_i4_high_open, dtype="int32")\ndef_gen.integers(I_i4_low, I_i4_high_open, dtype="int32")\ndef_gen.integers(-2147483648, I_i4_high_open, dtype="int32")\ndef_gen.integers(I_i4_high_closed, dtype="int32", endpoint=True)\ndef_gen.integers(I_i4_low, I_i4_high_closed, dtype="int32", endpoint=True)\ndef_gen.integers(-2147483648, I_i4_high_closed, dtype="int32", endpoint=True)\n\ndef_gen.integers(2147483648, dtype=np.int32)\ndef_gen.integers(-2147483648, 2147483648, dtype=np.int32)\ndef_gen.integers(2147483647, dtype=np.int32, endpoint=True)\ndef_gen.integers(-2147483648, 2147483647, dtype=np.int32, endpoint=True)\ndef_gen.integers(I_i4_low_like, 2147483647, dtype=np.int32, endpoint=True)\ndef_gen.integers(I_i4_high_open, dtype=np.int32)\ndef_gen.integers(I_i4_low, I_i4_high_open, dtype=np.int32)\ndef_gen.integers(-2147483648, I_i4_high_open, dtype=np.int32)\ndef_gen.integers(I_i4_high_closed, dtype=np.int32, endpoint=True)\ndef_gen.integers(I_i4_low, I_i4_high_closed, dtype=np.int32, endpoint=True)\ndef_gen.integers(-2147483648, I_i4_high_closed, dtype=np.int32, endpoint=True)\n\nI_i8_low: np.ndarray[Any, np.dtype[np.int64]] = np.array([-9223372036854775808], dtype=np.int64)\nI_i8_low_like: list[int] = [-9223372036854775808]\nI_i8_high_open: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)\nI_i8_high_closed: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64)\n\ndef_gen.integers(9223372036854775808, dtype="i8")\ndef_gen.integers(-9223372036854775808, 9223372036854775808, dtype="i8")\ndef_gen.integers(9223372036854775807, dtype="i8", endpoint=True)\ndef_gen.integers(-9223372036854775808, 9223372036854775807, dtype="i8", endpoint=True)\ndef_gen.integers(I_i8_low_like, 9223372036854775807, dtype="i8", endpoint=True)\ndef_gen.integers(I_i8_high_open, dtype="i8")\ndef_gen.integers(I_i8_low, I_i8_high_open, dtype="i8")\ndef_gen.integers(-9223372036854775808, I_i8_high_open, dtype="i8")\ndef_gen.integers(I_i8_high_closed, dtype="i8", endpoint=True)\ndef_gen.integers(I_i8_low, I_i8_high_closed, dtype="i8", endpoint=True)\ndef_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="i8", endpoint=True)\n\ndef_gen.integers(9223372036854775808, dtype="int64")\ndef_gen.integers(-9223372036854775808, 9223372036854775808, dtype="int64")\ndef_gen.integers(9223372036854775807, dtype="int64", endpoint=True)\ndef_gen.integers(-9223372036854775808, 9223372036854775807, dtype="int64", endpoint=True)\ndef_gen.integers(I_i8_low_like, 9223372036854775807, dtype="int64", endpoint=True)\ndef_gen.integers(I_i8_high_open, dtype="int64")\ndef_gen.integers(I_i8_low, I_i8_high_open, dtype="int64")\ndef_gen.integers(-9223372036854775808, I_i8_high_open, dtype="int64")\ndef_gen.integers(I_i8_high_closed, dtype="int64", endpoint=True)\ndef_gen.integers(I_i8_low, I_i8_high_closed, dtype="int64", endpoint=True)\ndef_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="int64", endpoint=True)\n\ndef_gen.integers(9223372036854775808, dtype=np.int64)\ndef_gen.integers(-9223372036854775808, 9223372036854775808, dtype=np.int64)\ndef_gen.integers(9223372036854775807, dtype=np.int64, endpoint=True)\ndef_gen.integers(-9223372036854775808, 9223372036854775807, dtype=np.int64, endpoint=True)\ndef_gen.integers(I_i8_low_like, 9223372036854775807, dtype=np.int64, endpoint=True)\ndef_gen.integers(I_i8_high_open, dtype=np.int64)\ndef_gen.integers(I_i8_low, I_i8_high_open, dtype=np.int64)\ndef_gen.integers(-9223372036854775808, I_i8_high_open, dtype=np.int64)\ndef_gen.integers(I_i8_high_closed, dtype=np.int64, endpoint=True)\ndef_gen.integers(I_i8_low, I_i8_high_closed, dtype=np.int64, endpoint=True)\ndef_gen.integers(-9223372036854775808, I_i8_high_closed, dtype=np.int64, endpoint=True)\n\n\ndef_gen.bit_generator\n\ndef_gen.bytes(2)\n\ndef_gen.choice(5)\ndef_gen.choice(5, 3)\ndef_gen.choice(5, 3, replace=True)\ndef_gen.choice(5, 3, p=[1 / 5] * 5)\ndef_gen.choice(5, 3, p=[1 / 5] * 5, replace=False)\n\ndef_gen.choice(["pooh", "rabbit", "piglet", "Christopher"])\ndef_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3)\ndef_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4)\ndef_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True)\ndef_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4]))\n\ndef_gen.dirichlet([0.5, 0.5])\ndef_gen.dirichlet(np.array([0.5, 0.5]))\ndef_gen.dirichlet(np.array([0.5, 0.5]), size=3)\n\ndef_gen.multinomial(20, [1 / 6.0] * 6)\ndef_gen.multinomial(20, np.array([0.5, 0.5]))\ndef_gen.multinomial(20, [1 / 6.0] * 6, size=2)\ndef_gen.multinomial([[10], [20]], [1 / 6.0] * 6, size=(2, 2))\ndef_gen.multinomial(np.array([[10], [20]]), np.array([0.5, 0.5]), size=(2, 2))\n\ndef_gen.multivariate_hypergeometric([3, 5, 7], 2)\ndef_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2)\ndef_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=4)\ndef_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=(4, 7))\ndef_gen.multivariate_hypergeometric([3, 5, 7], 2, method="count")\ndef_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, method="marginals")\n\ndef_gen.multivariate_normal([0.0], [[1.0]])\ndef_gen.multivariate_normal([0.0], np.array([[1.0]]))\ndef_gen.multivariate_normal(np.array([0.0]), [[1.0]])\ndef_gen.multivariate_normal([0.0], np.array([[1.0]]))\n\ndef_gen.permutation(10)\ndef_gen.permutation([1, 2, 3, 4])\ndef_gen.permutation(np.array([1, 2, 3, 4]))\ndef_gen.permutation(D_2D, axis=1)\ndef_gen.permuted(D_2D)\ndef_gen.permuted(D_2D_like)\ndef_gen.permuted(D_2D, axis=1)\ndef_gen.permuted(D_2D, out=D_2D)\ndef_gen.permuted(D_2D_like, out=D_2D)\ndef_gen.permuted(D_2D_like, out=D_2D)\ndef_gen.permuted(D_2D, axis=1, out=D_2D)\n\ndef_gen.shuffle(np.arange(10))\ndef_gen.shuffle([1, 2, 3, 4, 5])\ndef_gen.shuffle(D_2D, axis=1)\n\ndef_gen.__str__()\ndef_gen.__repr__()\ndef_gen.__setstate__(dict(def_gen.bit_generator.state))\n\n# RandomState\nrandom_st: np.random.RandomState = np.random.RandomState()\n\nrandom_st.standard_normal()\nrandom_st.standard_normal(size=None)\nrandom_st.standard_normal(size=1)\n\nrandom_st.random()\nrandom_st.random(size=None)\nrandom_st.random(size=1)\n\nrandom_st.standard_cauchy()\nrandom_st.standard_cauchy(size=None)\nrandom_st.standard_cauchy(size=1)\n\nrandom_st.standard_exponential()\nrandom_st.standard_exponential(size=None)\nrandom_st.standard_exponential(size=1)\n\nrandom_st.zipf(1.5)\nrandom_st.zipf(1.5, size=None)\nrandom_st.zipf(1.5, size=1)\nrandom_st.zipf(D_arr_1p5)\nrandom_st.zipf(D_arr_1p5, size=1)\nrandom_st.zipf(D_arr_like_1p5)\nrandom_st.zipf(D_arr_like_1p5, size=1)\n\nrandom_st.weibull(0.5)\nrandom_st.weibull(0.5, size=None)\nrandom_st.weibull(0.5, size=1)\nrandom_st.weibull(D_arr_0p5)\nrandom_st.weibull(D_arr_0p5, size=1)\nrandom_st.weibull(D_arr_like_0p5)\nrandom_st.weibull(D_arr_like_0p5, size=1)\n\nrandom_st.standard_t(0.5)\nrandom_st.standard_t(0.5, size=None)\nrandom_st.standard_t(0.5, size=1)\nrandom_st.standard_t(D_arr_0p5)\nrandom_st.standard_t(D_arr_0p5, size=1)\nrandom_st.standard_t(D_arr_like_0p5)\nrandom_st.standard_t(D_arr_like_0p5, size=1)\n\nrandom_st.poisson(0.5)\nrandom_st.poisson(0.5, size=None)\nrandom_st.poisson(0.5, size=1)\nrandom_st.poisson(D_arr_0p5)\nrandom_st.poisson(D_arr_0p5, size=1)\nrandom_st.poisson(D_arr_like_0p5)\nrandom_st.poisson(D_arr_like_0p5, size=1)\n\nrandom_st.power(0.5)\nrandom_st.power(0.5, size=None)\nrandom_st.power(0.5, size=1)\nrandom_st.power(D_arr_0p5)\nrandom_st.power(D_arr_0p5, size=1)\nrandom_st.power(D_arr_like_0p5)\nrandom_st.power(D_arr_like_0p5, size=1)\n\nrandom_st.pareto(0.5)\nrandom_st.pareto(0.5, size=None)\nrandom_st.pareto(0.5, size=1)\nrandom_st.pareto(D_arr_0p5)\nrandom_st.pareto(D_arr_0p5, size=1)\nrandom_st.pareto(D_arr_like_0p5)\nrandom_st.pareto(D_arr_like_0p5, size=1)\n\nrandom_st.chisquare(0.5)\nrandom_st.chisquare(0.5, size=None)\nrandom_st.chisquare(0.5, size=1)\nrandom_st.chisquare(D_arr_0p5)\nrandom_st.chisquare(D_arr_0p5, size=1)\nrandom_st.chisquare(D_arr_like_0p5)\nrandom_st.chisquare(D_arr_like_0p5, size=1)\n\nrandom_st.exponential(0.5)\nrandom_st.exponential(0.5, size=None)\nrandom_st.exponential(0.5, size=1)\nrandom_st.exponential(D_arr_0p5)\nrandom_st.exponential(D_arr_0p5, size=1)\nrandom_st.exponential(D_arr_like_0p5)\nrandom_st.exponential(D_arr_like_0p5, size=1)\n\nrandom_st.geometric(0.5)\nrandom_st.geometric(0.5, size=None)\nrandom_st.geometric(0.5, size=1)\nrandom_st.geometric(D_arr_0p5)\nrandom_st.geometric(D_arr_0p5, size=1)\nrandom_st.geometric(D_arr_like_0p5)\nrandom_st.geometric(D_arr_like_0p5, size=1)\n\nrandom_st.logseries(0.5)\nrandom_st.logseries(0.5, size=None)\nrandom_st.logseries(0.5, size=1)\nrandom_st.logseries(D_arr_0p5)\nrandom_st.logseries(D_arr_0p5, size=1)\nrandom_st.logseries(D_arr_like_0p5)\nrandom_st.logseries(D_arr_like_0p5, size=1)\n\nrandom_st.rayleigh(0.5)\nrandom_st.rayleigh(0.5, size=None)\nrandom_st.rayleigh(0.5, size=1)\nrandom_st.rayleigh(D_arr_0p5)\nrandom_st.rayleigh(D_arr_0p5, size=1)\nrandom_st.rayleigh(D_arr_like_0p5)\nrandom_st.rayleigh(D_arr_like_0p5, size=1)\n\nrandom_st.standard_gamma(0.5)\nrandom_st.standard_gamma(0.5, size=None)\nrandom_st.standard_gamma(0.5, size=1)\nrandom_st.standard_gamma(D_arr_0p5)\nrandom_st.standard_gamma(D_arr_0p5, size=1)\nrandom_st.standard_gamma(D_arr_like_0p5)\nrandom_st.standard_gamma(D_arr_like_0p5, size=1)\nrandom_st.standard_gamma(D_arr_like_0p5, size=1)\n\nrandom_st.vonmises(0.5, 0.5)\nrandom_st.vonmises(0.5, 0.5, size=None)\nrandom_st.vonmises(0.5, 0.5, size=1)\nrandom_st.vonmises(D_arr_0p5, 0.5)\nrandom_st.vonmises(0.5, D_arr_0p5)\nrandom_st.vonmises(D_arr_0p5, 0.5, size=1)\nrandom_st.vonmises(0.5, D_arr_0p5, size=1)\nrandom_st.vonmises(D_arr_like_0p5, 0.5)\nrandom_st.vonmises(0.5, D_arr_like_0p5)\nrandom_st.vonmises(D_arr_0p5, D_arr_0p5)\nrandom_st.vonmises(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.vonmises(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.wald(0.5, 0.5)\nrandom_st.wald(0.5, 0.5, size=None)\nrandom_st.wald(0.5, 0.5, size=1)\nrandom_st.wald(D_arr_0p5, 0.5)\nrandom_st.wald(0.5, D_arr_0p5)\nrandom_st.wald(D_arr_0p5, 0.5, size=1)\nrandom_st.wald(0.5, D_arr_0p5, size=1)\nrandom_st.wald(D_arr_like_0p5, 0.5)\nrandom_st.wald(0.5, D_arr_like_0p5)\nrandom_st.wald(D_arr_0p5, D_arr_0p5)\nrandom_st.wald(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.wald(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.wald(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.uniform(0.5, 0.5)\nrandom_st.uniform(0.5, 0.5, size=None)\nrandom_st.uniform(0.5, 0.5, size=1)\nrandom_st.uniform(D_arr_0p5, 0.5)\nrandom_st.uniform(0.5, D_arr_0p5)\nrandom_st.uniform(D_arr_0p5, 0.5, size=1)\nrandom_st.uniform(0.5, D_arr_0p5, size=1)\nrandom_st.uniform(D_arr_like_0p5, 0.5)\nrandom_st.uniform(0.5, D_arr_like_0p5)\nrandom_st.uniform(D_arr_0p5, D_arr_0p5)\nrandom_st.uniform(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.uniform(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.beta(0.5, 0.5)\nrandom_st.beta(0.5, 0.5, size=None)\nrandom_st.beta(0.5, 0.5, size=1)\nrandom_st.beta(D_arr_0p5, 0.5)\nrandom_st.beta(0.5, D_arr_0p5)\nrandom_st.beta(D_arr_0p5, 0.5, size=1)\nrandom_st.beta(0.5, D_arr_0p5, size=1)\nrandom_st.beta(D_arr_like_0p5, 0.5)\nrandom_st.beta(0.5, D_arr_like_0p5)\nrandom_st.beta(D_arr_0p5, D_arr_0p5)\nrandom_st.beta(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.beta(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.beta(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.f(0.5, 0.5)\nrandom_st.f(0.5, 0.5, size=None)\nrandom_st.f(0.5, 0.5, size=1)\nrandom_st.f(D_arr_0p5, 0.5)\nrandom_st.f(0.5, D_arr_0p5)\nrandom_st.f(D_arr_0p5, 0.5, size=1)\nrandom_st.f(0.5, D_arr_0p5, size=1)\nrandom_st.f(D_arr_like_0p5, 0.5)\nrandom_st.f(0.5, D_arr_like_0p5)\nrandom_st.f(D_arr_0p5, D_arr_0p5)\nrandom_st.f(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.f(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.f(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.gamma(0.5, 0.5)\nrandom_st.gamma(0.5, 0.5, size=None)\nrandom_st.gamma(0.5, 0.5, size=1)\nrandom_st.gamma(D_arr_0p5, 0.5)\nrandom_st.gamma(0.5, D_arr_0p5)\nrandom_st.gamma(D_arr_0p5, 0.5, size=1)\nrandom_st.gamma(0.5, D_arr_0p5, size=1)\nrandom_st.gamma(D_arr_like_0p5, 0.5)\nrandom_st.gamma(0.5, D_arr_like_0p5)\nrandom_st.gamma(D_arr_0p5, D_arr_0p5)\nrandom_st.gamma(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.gamma(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.gumbel(0.5, 0.5)\nrandom_st.gumbel(0.5, 0.5, size=None)\nrandom_st.gumbel(0.5, 0.5, size=1)\nrandom_st.gumbel(D_arr_0p5, 0.5)\nrandom_st.gumbel(0.5, D_arr_0p5)\nrandom_st.gumbel(D_arr_0p5, 0.5, size=1)\nrandom_st.gumbel(0.5, D_arr_0p5, size=1)\nrandom_st.gumbel(D_arr_like_0p5, 0.5)\nrandom_st.gumbel(0.5, D_arr_like_0p5)\nrandom_st.gumbel(D_arr_0p5, D_arr_0p5)\nrandom_st.gumbel(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.gumbel(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.laplace(0.5, 0.5)\nrandom_st.laplace(0.5, 0.5, size=None)\nrandom_st.laplace(0.5, 0.5, size=1)\nrandom_st.laplace(D_arr_0p5, 0.5)\nrandom_st.laplace(0.5, D_arr_0p5)\nrandom_st.laplace(D_arr_0p5, 0.5, size=1)\nrandom_st.laplace(0.5, D_arr_0p5, size=1)\nrandom_st.laplace(D_arr_like_0p5, 0.5)\nrandom_st.laplace(0.5, D_arr_like_0p5)\nrandom_st.laplace(D_arr_0p5, D_arr_0p5)\nrandom_st.laplace(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.laplace(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.logistic(0.5, 0.5)\nrandom_st.logistic(0.5, 0.5, size=None)\nrandom_st.logistic(0.5, 0.5, size=1)\nrandom_st.logistic(D_arr_0p5, 0.5)\nrandom_st.logistic(0.5, D_arr_0p5)\nrandom_st.logistic(D_arr_0p5, 0.5, size=1)\nrandom_st.logistic(0.5, D_arr_0p5, size=1)\nrandom_st.logistic(D_arr_like_0p5, 0.5)\nrandom_st.logistic(0.5, D_arr_like_0p5)\nrandom_st.logistic(D_arr_0p5, D_arr_0p5)\nrandom_st.logistic(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.logistic(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.lognormal(0.5, 0.5)\nrandom_st.lognormal(0.5, 0.5, size=None)\nrandom_st.lognormal(0.5, 0.5, size=1)\nrandom_st.lognormal(D_arr_0p5, 0.5)\nrandom_st.lognormal(0.5, D_arr_0p5)\nrandom_st.lognormal(D_arr_0p5, 0.5, size=1)\nrandom_st.lognormal(0.5, D_arr_0p5, size=1)\nrandom_st.lognormal(D_arr_like_0p5, 0.5)\nrandom_st.lognormal(0.5, D_arr_like_0p5)\nrandom_st.lognormal(D_arr_0p5, D_arr_0p5)\nrandom_st.lognormal(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.lognormal(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.noncentral_chisquare(0.5, 0.5)\nrandom_st.noncentral_chisquare(0.5, 0.5, size=None)\nrandom_st.noncentral_chisquare(0.5, 0.5, size=1)\nrandom_st.noncentral_chisquare(D_arr_0p5, 0.5)\nrandom_st.noncentral_chisquare(0.5, D_arr_0p5)\nrandom_st.noncentral_chisquare(D_arr_0p5, 0.5, size=1)\nrandom_st.noncentral_chisquare(0.5, D_arr_0p5, size=1)\nrandom_st.noncentral_chisquare(D_arr_like_0p5, 0.5)\nrandom_st.noncentral_chisquare(0.5, D_arr_like_0p5)\nrandom_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5)\nrandom_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.normal(0.5, 0.5)\nrandom_st.normal(0.5, 0.5, size=None)\nrandom_st.normal(0.5, 0.5, size=1)\nrandom_st.normal(D_arr_0p5, 0.5)\nrandom_st.normal(0.5, D_arr_0p5)\nrandom_st.normal(D_arr_0p5, 0.5, size=1)\nrandom_st.normal(0.5, D_arr_0p5, size=1)\nrandom_st.normal(D_arr_like_0p5, 0.5)\nrandom_st.normal(0.5, D_arr_like_0p5)\nrandom_st.normal(D_arr_0p5, D_arr_0p5)\nrandom_st.normal(D_arr_like_0p5, D_arr_like_0p5)\nrandom_st.normal(D_arr_0p5, D_arr_0p5, size=1)\nrandom_st.normal(D_arr_like_0p5, D_arr_like_0p5, size=1)\n\nrandom_st.triangular(0.1, 0.5, 0.9)\nrandom_st.triangular(0.1, 0.5, 0.9, size=None)\nrandom_st.triangular(0.1, 0.5, 0.9, size=1)\nrandom_st.triangular(D_arr_0p1, 0.5, 0.9)\nrandom_st.triangular(0.1, D_arr_0p5, 0.9)\nrandom_st.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)\nrandom_st.triangular(0.1, D_arr_0p5, 0.9, size=1)\nrandom_st.triangular(D_arr_like_0p1, 0.5, D_arr_0p9)\nrandom_st.triangular(0.5, D_arr_like_0p5, 0.9)\nrandom_st.triangular(D_arr_0p1, D_arr_0p5, 0.9)\nrandom_st.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9)\nrandom_st.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)\nrandom_st.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)\n\nrandom_st.noncentral_f(0.1, 0.5, 0.9)\nrandom_st.noncentral_f(0.1, 0.5, 0.9, size=None)\nrandom_st.noncentral_f(0.1, 0.5, 0.9, size=1)\nrandom_st.noncentral_f(D_arr_0p1, 0.5, 0.9)\nrandom_st.noncentral_f(0.1, D_arr_0p5, 0.9)\nrandom_st.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1)\nrandom_st.noncentral_f(0.1, D_arr_0p5, 0.9, size=1)\nrandom_st.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9)\nrandom_st.noncentral_f(0.5, D_arr_like_0p5, 0.9)\nrandom_st.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9)\nrandom_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9)\nrandom_st.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1)\nrandom_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1)\n\nrandom_st.binomial(10, 0.5)\nrandom_st.binomial(10, 0.5, size=None)\nrandom_st.binomial(10, 0.5, size=1)\nrandom_st.binomial(I_arr_10, 0.5)\nrandom_st.binomial(10, D_arr_0p5)\nrandom_st.binomial(I_arr_10, 0.5, size=1)\nrandom_st.binomial(10, D_arr_0p5, size=1)\nrandom_st.binomial(I_arr_like_10, 0.5)\nrandom_st.binomial(10, D_arr_like_0p5)\nrandom_st.binomial(I_arr_10, D_arr_0p5)\nrandom_st.binomial(I_arr_like_10, D_arr_like_0p5)\nrandom_st.binomial(I_arr_10, D_arr_0p5, size=1)\nrandom_st.binomial(I_arr_like_10, D_arr_like_0p5, size=1)\n\nrandom_st.negative_binomial(10, 0.5)\nrandom_st.negative_binomial(10, 0.5, size=None)\nrandom_st.negative_binomial(10, 0.5, size=1)\nrandom_st.negative_binomial(I_arr_10, 0.5)\nrandom_st.negative_binomial(10, D_arr_0p5)\nrandom_st.negative_binomial(I_arr_10, 0.5, size=1)\nrandom_st.negative_binomial(10, D_arr_0p5, size=1)\nrandom_st.negative_binomial(I_arr_like_10, 0.5)\nrandom_st.negative_binomial(10, D_arr_like_0p5)\nrandom_st.negative_binomial(I_arr_10, D_arr_0p5)\nrandom_st.negative_binomial(I_arr_like_10, D_arr_like_0p5)\nrandom_st.negative_binomial(I_arr_10, D_arr_0p5, size=1)\nrandom_st.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1)\n\nrandom_st.hypergeometric(20, 20, 10)\nrandom_st.hypergeometric(20, 20, 10, size=None)\nrandom_st.hypergeometric(20, 20, 10, size=1)\nrandom_st.hypergeometric(I_arr_20, 20, 10)\nrandom_st.hypergeometric(20, I_arr_20, 10)\nrandom_st.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1)\nrandom_st.hypergeometric(20, I_arr_20, 10, size=1)\nrandom_st.hypergeometric(I_arr_like_20, 20, I_arr_10)\nrandom_st.hypergeometric(20, I_arr_like_20, 10)\nrandom_st.hypergeometric(I_arr_20, I_arr_20, 10)\nrandom_st.hypergeometric(I_arr_like_20, I_arr_like_20, 10)\nrandom_st.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1)\nrandom_st.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1)\n\nrandom_st.randint(0, 100)\nrandom_st.randint(100)\nrandom_st.randint([100])\nrandom_st.randint(0, [100])\n\nrandom_st.randint(2, dtype=bool)\nrandom_st.randint(0, 2, dtype=bool)\nrandom_st.randint(I_bool_high_open, dtype=bool)\nrandom_st.randint(I_bool_low, I_bool_high_open, dtype=bool)\nrandom_st.randint(0, I_bool_high_open, dtype=bool)\n\nrandom_st.randint(2, dtype=np.bool)\nrandom_st.randint(0, 2, dtype=np.bool)\nrandom_st.randint(I_bool_high_open, dtype=np.bool)\nrandom_st.randint(I_bool_low, I_bool_high_open, dtype=np.bool)\nrandom_st.randint(0, I_bool_high_open, dtype=np.bool)\n\nrandom_st.randint(256, dtype="u1")\nrandom_st.randint(0, 256, dtype="u1")\nrandom_st.randint(I_u1_high_open, dtype="u1")\nrandom_st.randint(I_u1_low, I_u1_high_open, dtype="u1")\nrandom_st.randint(0, I_u1_high_open, dtype="u1")\n\nrandom_st.randint(256, dtype="uint8")\nrandom_st.randint(0, 256, dtype="uint8")\nrandom_st.randint(I_u1_high_open, dtype="uint8")\nrandom_st.randint(I_u1_low, I_u1_high_open, dtype="uint8")\nrandom_st.randint(0, I_u1_high_open, dtype="uint8")\n\nrandom_st.randint(256, dtype=np.uint8)\nrandom_st.randint(0, 256, dtype=np.uint8)\nrandom_st.randint(I_u1_high_open, dtype=np.uint8)\nrandom_st.randint(I_u1_low, I_u1_high_open, dtype=np.uint8)\nrandom_st.randint(0, I_u1_high_open, dtype=np.uint8)\n\nrandom_st.randint(65536, dtype="u2")\nrandom_st.randint(0, 65536, dtype="u2")\nrandom_st.randint(I_u2_high_open, dtype="u2")\nrandom_st.randint(I_u2_low, I_u2_high_open, dtype="u2")\nrandom_st.randint(0, I_u2_high_open, dtype="u2")\n\nrandom_st.randint(65536, dtype="uint16")\nrandom_st.randint(0, 65536, dtype="uint16")\nrandom_st.randint(I_u2_high_open, dtype="uint16")\nrandom_st.randint(I_u2_low, I_u2_high_open, dtype="uint16")\nrandom_st.randint(0, I_u2_high_open, dtype="uint16")\n\nrandom_st.randint(65536, dtype=np.uint16)\nrandom_st.randint(0, 65536, dtype=np.uint16)\nrandom_st.randint(I_u2_high_open, dtype=np.uint16)\nrandom_st.randint(I_u2_low, I_u2_high_open, dtype=np.uint16)\nrandom_st.randint(0, I_u2_high_open, dtype=np.uint16)\n\nrandom_st.randint(4294967296, dtype="u4")\nrandom_st.randint(0, 4294967296, dtype="u4")\nrandom_st.randint(I_u4_high_open, dtype="u4")\nrandom_st.randint(I_u4_low, I_u4_high_open, dtype="u4")\nrandom_st.randint(0, I_u4_high_open, dtype="u4")\n\nrandom_st.randint(4294967296, dtype="uint32")\nrandom_st.randint(0, 4294967296, dtype="uint32")\nrandom_st.randint(I_u4_high_open, dtype="uint32")\nrandom_st.randint(I_u4_low, I_u4_high_open, dtype="uint32")\nrandom_st.randint(0, I_u4_high_open, dtype="uint32")\n\nrandom_st.randint(4294967296, dtype=np.uint32)\nrandom_st.randint(0, 4294967296, dtype=np.uint32)\nrandom_st.randint(I_u4_high_open, dtype=np.uint32)\nrandom_st.randint(I_u4_low, I_u4_high_open, dtype=np.uint32)\nrandom_st.randint(0, I_u4_high_open, dtype=np.uint32)\n\n\nrandom_st.randint(18446744073709551616, dtype="u8")\nrandom_st.randint(0, 18446744073709551616, dtype="u8")\nrandom_st.randint(I_u8_high_open, dtype="u8")\nrandom_st.randint(I_u8_low, I_u8_high_open, dtype="u8")\nrandom_st.randint(0, I_u8_high_open, dtype="u8")\n\nrandom_st.randint(18446744073709551616, dtype="uint64")\nrandom_st.randint(0, 18446744073709551616, dtype="uint64")\nrandom_st.randint(I_u8_high_open, dtype="uint64")\nrandom_st.randint(I_u8_low, I_u8_high_open, dtype="uint64")\nrandom_st.randint(0, I_u8_high_open, dtype="uint64")\n\nrandom_st.randint(18446744073709551616, dtype=np.uint64)\nrandom_st.randint(0, 18446744073709551616, dtype=np.uint64)\nrandom_st.randint(I_u8_high_open, dtype=np.uint64)\nrandom_st.randint(I_u8_low, I_u8_high_open, dtype=np.uint64)\nrandom_st.randint(0, I_u8_high_open, dtype=np.uint64)\n\nrandom_st.randint(128, dtype="i1")\nrandom_st.randint(-128, 128, dtype="i1")\nrandom_st.randint(I_i1_high_open, dtype="i1")\nrandom_st.randint(I_i1_low, I_i1_high_open, dtype="i1")\nrandom_st.randint(-128, I_i1_high_open, dtype="i1")\n\nrandom_st.randint(128, dtype="int8")\nrandom_st.randint(-128, 128, dtype="int8")\nrandom_st.randint(I_i1_high_open, dtype="int8")\nrandom_st.randint(I_i1_low, I_i1_high_open, dtype="int8")\nrandom_st.randint(-128, I_i1_high_open, dtype="int8")\n\nrandom_st.randint(128, dtype=np.int8)\nrandom_st.randint(-128, 128, dtype=np.int8)\nrandom_st.randint(I_i1_high_open, dtype=np.int8)\nrandom_st.randint(I_i1_low, I_i1_high_open, dtype=np.int8)\nrandom_st.randint(-128, I_i1_high_open, dtype=np.int8)\n\nrandom_st.randint(32768, dtype="i2")\nrandom_st.randint(-32768, 32768, dtype="i2")\nrandom_st.randint(I_i2_high_open, dtype="i2")\nrandom_st.randint(I_i2_low, I_i2_high_open, dtype="i2")\nrandom_st.randint(-32768, I_i2_high_open, dtype="i2")\nrandom_st.randint(32768, dtype="int16")\nrandom_st.randint(-32768, 32768, dtype="int16")\nrandom_st.randint(I_i2_high_open, dtype="int16")\nrandom_st.randint(I_i2_low, I_i2_high_open, dtype="int16")\nrandom_st.randint(-32768, I_i2_high_open, dtype="int16")\nrandom_st.randint(32768, dtype=np.int16)\nrandom_st.randint(-32768, 32768, dtype=np.int16)\nrandom_st.randint(I_i2_high_open, dtype=np.int16)\nrandom_st.randint(I_i2_low, I_i2_high_open, dtype=np.int16)\nrandom_st.randint(-32768, I_i2_high_open, dtype=np.int16)\n\nrandom_st.randint(2147483648, dtype="i4")\nrandom_st.randint(-2147483648, 2147483648, dtype="i4")\nrandom_st.randint(I_i4_high_open, dtype="i4")\nrandom_st.randint(I_i4_low, I_i4_high_open, dtype="i4")\nrandom_st.randint(-2147483648, I_i4_high_open, dtype="i4")\n\nrandom_st.randint(2147483648, dtype="int32")\nrandom_st.randint(-2147483648, 2147483648, dtype="int32")\nrandom_st.randint(I_i4_high_open, dtype="int32")\nrandom_st.randint(I_i4_low, I_i4_high_open, dtype="int32")\nrandom_st.randint(-2147483648, I_i4_high_open, dtype="int32")\n\nrandom_st.randint(2147483648, dtype=np.int32)\nrandom_st.randint(-2147483648, 2147483648, dtype=np.int32)\nrandom_st.randint(I_i4_high_open, dtype=np.int32)\nrandom_st.randint(I_i4_low, I_i4_high_open, dtype=np.int32)\nrandom_st.randint(-2147483648, I_i4_high_open, dtype=np.int32)\n\nrandom_st.randint(9223372036854775808, dtype="i8")\nrandom_st.randint(-9223372036854775808, 9223372036854775808, dtype="i8")\nrandom_st.randint(I_i8_high_open, dtype="i8")\nrandom_st.randint(I_i8_low, I_i8_high_open, dtype="i8")\nrandom_st.randint(-9223372036854775808, I_i8_high_open, dtype="i8")\n\nrandom_st.randint(9223372036854775808, dtype="int64")\nrandom_st.randint(-9223372036854775808, 9223372036854775808, dtype="int64")\nrandom_st.randint(I_i8_high_open, dtype="int64")\nrandom_st.randint(I_i8_low, I_i8_high_open, dtype="int64")\nrandom_st.randint(-9223372036854775808, I_i8_high_open, dtype="int64")\n\nrandom_st.randint(9223372036854775808, dtype=np.int64)\nrandom_st.randint(-9223372036854775808, 9223372036854775808, dtype=np.int64)\nrandom_st.randint(I_i8_high_open, dtype=np.int64)\nrandom_st.randint(I_i8_low, I_i8_high_open, dtype=np.int64)\nrandom_st.randint(-9223372036854775808, I_i8_high_open, dtype=np.int64)\n\nbg: np.random.BitGenerator = random_st._bit_generator\n\nrandom_st.bytes(2)\n\nrandom_st.choice(5)\nrandom_st.choice(5, 3)\nrandom_st.choice(5, 3, replace=True)\nrandom_st.choice(5, 3, p=[1 / 5] * 5)\nrandom_st.choice(5, 3, p=[1 / 5] * 5, replace=False)\n\nrandom_st.choice(["pooh", "rabbit", "piglet", "Christopher"])\nrandom_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3)\nrandom_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4)\nrandom_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True)\nrandom_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4]))\n\nrandom_st.dirichlet([0.5, 0.5])\nrandom_st.dirichlet(np.array([0.5, 0.5]))\nrandom_st.dirichlet(np.array([0.5, 0.5]), size=3)\n\nrandom_st.multinomial(20, [1 / 6.0] * 6)\nrandom_st.multinomial(20, np.array([0.5, 0.5]))\nrandom_st.multinomial(20, [1 / 6.0] * 6, size=2)\n\nrandom_st.multivariate_normal([0.0], [[1.0]])\nrandom_st.multivariate_normal([0.0], np.array([[1.0]]))\nrandom_st.multivariate_normal(np.array([0.0]), [[1.0]])\nrandom_st.multivariate_normal([0.0], np.array([[1.0]]))\n\nrandom_st.permutation(10)\nrandom_st.permutation([1, 2, 3, 4])\nrandom_st.permutation(np.array([1, 2, 3, 4]))\nrandom_st.permutation(D_2D)\n\nrandom_st.shuffle(np.arange(10))\nrandom_st.shuffle([1, 2, 3, 4, 5])\nrandom_st.shuffle(D_2D)\n\nnp.random.RandomState(SEED_PCG64)\nnp.random.RandomState(0)\nnp.random.RandomState([0, 1, 2])\nrandom_st.__str__()\nrandom_st.__repr__()\nrandom_st_state = random_st.__getstate__()\nrandom_st.__setstate__(random_st_state)\nrandom_st.seed()\nrandom_st.seed(1)\nrandom_st.seed([0, 1])\nrandom_st_get_state = random_st.get_state()\nrandom_st_get_state_legacy = random_st.get_state(legacy=True)\nrandom_st.set_state(random_st_get_state)\n\nrandom_st.rand()\nrandom_st.rand(1)\nrandom_st.rand(1, 2)\nrandom_st.randn()\nrandom_st.randn(1)\nrandom_st.randn(1, 2)\nrandom_st.random_sample()\nrandom_st.random_sample(1)\nrandom_st.random_sample(size=(1, 2))\n\nrandom_st.tomaxint()\nrandom_st.tomaxint(1)\nrandom_st.tomaxint((1,))\n\nnp.random.mtrand.set_bit_generator(SEED_PCG64)\nnp.random.mtrand.get_bit_generator()\n | .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), (2, 20.0)],\n dtype=[("A", np.int64), ("B", np.float64)],\n )\n b = np.zeros((int(3),), dtype=a.dtype)\n out = rfn.recursive_fill_fields(a, b)\n assert_type(out, np.ndarray[tuple[int], np.dtype[np.void]])\n\n\ndef test_get_names() -> None:\n names: tuple[str | Any, ...]\n names = rfn.get_names(np.empty((1,), dtype=[("A", int)]).dtype)\n names = rfn.get_names(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)\n\n adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])\n names = rfn.get_names(adtype)\n\n\ndef test_get_names_flat() -> None:\n names: tuple[str, ...]\n names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int)]).dtype)\n names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)\n\n adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])\n names = rfn.get_names_flat(adtype)\n\n\ndef test_flatten_descr() -> None:\n ndtype = np.dtype([("a", "<i4"), ("b", [("b_a", "<f8"), ("b_b", "<i4")])])\n assert_type(rfn.flatten_descr(ndtype), tuple[tuple[str, np.dtype]])\n\n\ndef test_get_fieldstructure() -> None:\n ndtype = np.dtype([\n ("A", int),\n ("B", [("B_A", int), ("B_B", [("B_B_A", int), ("B_B_B", int)])]),\n ])\n assert_type(rfn.get_fieldstructure(ndtype), dict[str, list[str]])\n\n\ndef test_merge_arrays() -> None:\n assert_type(\n rfn.merge_arrays((\n np.ones((int(2),), np.int_),\n np.ones((int(3),), np.float64),\n )),\n np.recarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_drop_fields() -> None:\n ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]\n a = np.ones((int(3),), dtype=ndtype)\n\n assert_type(\n rfn.drop_fields(a, "a"),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n assert_type(\n rfn.drop_fields(a, "a", asrecarray=True),\n np.rec.recarray[tuple[int], np.dtype[np.void]],\n )\n assert_type(\n rfn.rec_drop_fields(a, "a"),\n np.rec.recarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_rename_fields() -> None:\n ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]\n a = np.ones((int(3),), dtype=ndtype)\n\n assert_type(\n rfn.rename_fields(a, {"a": "A", "b_b": "B_B"}),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_repack_fields() -> None:\n dt: np.dtype[np.void] = np.dtype("u1, <i8, <f8", align=True)\n\n assert_type(rfn.repack_fields(dt), np.dtype[np.void])\n assert_type(rfn.repack_fields(dt.type(0)), np.void)\n assert_type(\n rfn.repack_fields(np.ones((int(3),), dtype=dt)),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_structured_to_unstructured() -> None:\n a = np.zeros(4, dtype=[("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])\n assert_type(rfn.structured_to_unstructured(a), npt.NDArray[Any])\n\n\ndef unstructured_to_structured() -> None:\n dt: np.dtype[np.void] = np.dtype([("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])\n a = np.arange(20, dtype=np.int32).reshape((4, 5))\n assert_type(rfn.unstructured_to_structured(a, dt), npt.NDArray[np.void])\n\n\ndef test_apply_along_fields() -> None:\n b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])\n assert_type(\n rfn.apply_along_fields(np.mean, b),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_assign_fields_by_name() -> None:\n b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])\n assert_type(\n rfn.apply_along_fields(np.mean, b),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_require_fields() -> None:\n a = np.ones(4, dtype=[("a", "i4"), ("b", "f8"), ("c", "u1")])\n assert_type(\n rfn.require_fields(a, [("b", "f4"), ("c", "u1")]),\n np.ndarray[tuple[int], np.dtype[np.void]],\n )\n\n\ndef test_stack_arrays() -> None:\n x = np.zeros((int(2),), np.int32)\n assert_type(\n rfn.stack_arrays(x),\n np.ndarray[tuple[int], np.dtype[np.int32]],\n )\n\n z = np.ones((int(2),), [("A", "|S3"), ("B", float)])\n zz = np.ones((int(2),), [("A", "|S3"), ("B", np.float64), ("C", np.float64)])\n assert_type(\n rfn.stack_arrays((z, zz)),\n np.ma.MaskedArray[tuple[Any, ...], np.dtype[np.void]],\n )\n\n\ndef test_find_duplicates() -> None:\n ndtype = np.dtype([("a", int)])\n\n a = np.ma.ones(7, mask=[0, 0, 1, 0, 0, 0, 1]).view(ndtype)\n assert_type(rfn.find_duplicates(a), np.ma.MaskedArray[Any, np.dtype[np.void]])\n assert_type(\n rfn.find_duplicates(a, ignoremask=True, return_index=True),\n tuple[\n np.ma.MaskedArray[Any, np.dtype[np.void]],\n np.ndarray[Any, np.dtype[np.int_]],\n ],\n )\n | .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__(self) -> complex:\n return 3j\n\n\nclass B:\n def __int__(self) -> int:\n return 4\n\n\nclass A:\n def __float__(self) -> float:\n return 4.0\n\n\nnp.complex64(3j)\nnp.complex64(A())\nnp.complex64(C())\nnp.complex128(3j)\nnp.complex128(C())\nnp.complex128(None)\nnp.complex64("1.2")\nnp.complex128(b"2j")\n\nnp.int8(4)\nnp.int16(3.4)\nnp.int32(4)\nnp.int64(-1)\nnp.uint8(B())\nnp.uint32()\nnp.int32("1")\nnp.int64(b"2")\n\nnp.float16(A())\nnp.float32(16)\nnp.float64(3.0)\nnp.float64(None)\nnp.float32("1")\nnp.float16(b"2.5")\n\nnp.uint64(D())\nnp.float32(D())\nnp.complex64(D())\n\nnp.bytes_(b"hello")\nnp.bytes_("hello", 'utf-8')\nnp.bytes_("hello", encoding='utf-8')\nnp.str_("hello")\nnp.str_(b"hello", 'utf-8')\nnp.str_(b"hello", encoding='utf-8')\n\n# Array-ish semantics\nnp.int8().real\nnp.int16().imag\nnp.int32().data\nnp.int64().flags\n\nnp.uint8().itemsize * 2\nnp.uint16().ndim + 1\nnp.uint32().strides\nnp.uint64().shape\n\n# Time structures\nnp.datetime64()\nnp.datetime64(0, "D")\nnp.datetime64(0, b"D")\nnp.datetime64(0, ('ms', 3))\nnp.datetime64("2019")\nnp.datetime64(b"2019")\nnp.datetime64("2019", "D")\nnp.datetime64("2019", "us")\nnp.datetime64("2019", "as")\nnp.datetime64(np.datetime64())\nnp.datetime64(np.datetime64())\nnp.datetime64(dt.datetime(2000, 5, 3))\nnp.datetime64(dt.datetime(2000, 5, 3), "D")\nnp.datetime64(dt.datetime(2000, 5, 3), "us")\nnp.datetime64(dt.datetime(2000, 5, 3), "as")\nnp.datetime64(dt.date(2000, 5, 3))\nnp.datetime64(dt.date(2000, 5, 3), "D")\nnp.datetime64(dt.date(2000, 5, 3), "us")\nnp.datetime64(dt.date(2000, 5, 3), "as")\nnp.datetime64(None)\nnp.datetime64(None, "D")\n\nnp.timedelta64()\nnp.timedelta64(0)\nnp.timedelta64(0, "D")\nnp.timedelta64(0, ('ms', 3))\nnp.timedelta64(0, b"D")\nnp.timedelta64("3")\nnp.timedelta64(b"5")\nnp.timedelta64(np.timedelta64(2))\nnp.timedelta64(dt.timedelta(2))\nnp.timedelta64(None)\nnp.timedelta64(None, "D")\n\nnp.void(1)\nnp.void(np.int64(1))\nnp.void(True)\nnp.void(np.bool(True))\nnp.void(b"test")\nnp.void(np.bytes_("test"))\nnp.void(object(), [("a", "O"), ("b", "O")])\nnp.void(object(), dtype=[("a", "O"), ("b", "O")])\n\n# Protocols\ni8 = np.int64()\nu8 = np.uint64()\nf8 = np.float64()\nc16 = np.complex128()\nb = np.bool()\ntd = np.timedelta64()\nU = np.str_("1")\nS = np.bytes_("1")\nAR = np.array(1, dtype=np.float64)\n\nint(i8)\nint(u8)\nint(f8)\nint(b)\nint(td)\nint(U)\nint(S)\nint(AR)\nwith pytest.warns(np.exceptions.ComplexWarning):\n int(c16)\n\nfloat(i8)\nfloat(u8)\nfloat(f8)\nfloat(b_)\nfloat(td)\nfloat(U)\nfloat(S)\nfloat(AR)\nwith pytest.warns(np.exceptions.ComplexWarning):\n float(c16)\n\ncomplex(i8)\ncomplex(u8)\ncomplex(f8)\ncomplex(c16)\ncomplex(b_)\ncomplex(td)\ncomplex(U)\ncomplex(AR)\n\n\n# Misc\nc16.dtype\nc16.real\nc16.imag\nc16.real.real\nc16.real.imag\nc16.ndim\nc16.size\nc16.itemsize\nc16.shape\nc16.strides\nc16.squeeze()\nc16.byteswap()\nc16.transpose()\n\n# Aliases\nnp.byte()\nnp.short()\nnp.intc()\nnp.intp()\nnp.int_()\nnp.longlong()\n\nnp.ubyte()\nnp.ushort()\nnp.uintc()\nnp.uintp()\nnp.uint()\nnp.ulonglong()\n\nnp.half()\nnp.single()\nnp.double()\nnp.longdouble()\n\nnp.csingle()\nnp.cdouble()\nnp.clongdouble()\n\nb.item()\ni8.item()\nu8.item()\nf8.item()\nc16.item()\nU.item()\nS.item()\n\nb.tolist()\ni8.tolist()\nu8.tolist()\nf8.tolist()\nc16.tolist()\nU.tolist()\nS.tolist()\n\nb.ravel()\ni8.ravel()\nu8.ravel()\nf8.ravel()\nc16.ravel()\nU.ravel()\nS.ravel()\n\nb.flatten()\ni8.flatten()\nu8.flatten()\nf8.flatten()\nc16.flatten()\nU.flatten()\nS.flatten()\n\nb.reshape(1)\ni8.reshape(1)\nu8.reshape(1)\nf8.reshape(1)\nc16.reshape(1)\nU.reshape(1)\nS.reshape(1)\n | .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_2d(np.zeros(XYGrid(2, 2), dtype=int))\naccepts_2d(np.ones(XYGrid(2, 2), dtype=int))\naccepts_2d(np.full(XYGrid(2, 2), fill_value=5, dtype=int))\n | .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([1, 2], dtype=np.float64))\narray == 1\narray.dtype == float\n\n# Dtype construction\nnp.dtype(float)\nnp.dtype(np.float64)\nnp.dtype(None)\nnp.dtype("float64")\nnp.dtype(np.dtype(float))\nnp.dtype(("U", 10))\nnp.dtype((np.int32, (2, 2)))\n# Define the arguments on the previous line to prevent bidirectional\n# type inference in mypy from broadening the types.\ntwo_tuples_dtype = [("R", "u1"), ("G", "u1"), ("B", "u1")]\nnp.dtype(two_tuples_dtype)\n\nthree_tuples_dtype = [("R", "u1", 2)]\nnp.dtype(three_tuples_dtype)\n\nmixed_tuples_dtype = [("R", "u1"), ("G", np.str_, 1)]\nnp.dtype(mixed_tuples_dtype)\n\nshape_tuple_dtype = [("R", "u1", (2, 2))]\nnp.dtype(shape_tuple_dtype)\n\nshape_like_dtype = [("R", "u1", (2, 2)), ("G", np.str_, 1)]\nnp.dtype(shape_like_dtype)\n\nobject_dtype = [("field1", object)]\nnp.dtype(object_dtype)\n\nnp.dtype((np.int32, (np.int8, 4)))\n\n# Dtype comparison\nnp.dtype(float) == float\nnp.dtype(float) != np.float64\nnp.dtype(float) < None\nnp.dtype(float) <= "float64"\nnp.dtype(float) > np.dtype(float)\nnp.dtype(float) >= np.dtype(("U", 10))\n\n# Iteration and indexing\ndef iterable_func(x: Iterable[object]) -> Iterable[object]:\n return x\n\n\niterable_func(array)\nlist(array)\niter(array)\nzip(array, array)\narray[1]\narray[:]\narray[...]\narray[:] = 0\n\narray_2d = np.ones((3, 3))\narray_2d[:2, :2]\narray_2d[:2, :2] = 0\narray_2d[..., 0]\narray_2d[..., 0] = 2\narray_2d[-1, -1] = None\n\narray_obj = np.zeros(1, dtype=np.object_)\narray_obj[0] = slice(None)\n\n# Other special methods\nlen(array)\nstr(array)\narray_scalar = np.array(1)\nint(array_scalar)\nfloat(array_scalar)\ncomplex(array_scalar)\nbytes(array_scalar)\noperator.index(array_scalar)\nbool(array_scalar)\n\n# comparisons\narray < 1\narray <= 1\narray == 1\narray != 1\narray > 1\narray >= 1\n1 < array\n1 <= array\n1 == array\n1 != array\n1 > array\n1 >= array\n\n# binary arithmetic\narray + 1\n1 + array\narray += 1\n\narray - 1\n1 - array\narray -= 1\n\narray * 1\n1 * array\narray *= 1\n\nnonzero_array = np.array([1, 2])\narray / 1\n1 / nonzero_array\nfloat_array = np.array([1.0, 2.0])\nfloat_array /= 1\n\narray // 1\n1 // nonzero_array\narray //= 1\n\narray % 1\n1 % nonzero_array\narray %= 1\n\ndivmod(array, 1)\ndivmod(1, nonzero_array)\n\narray ** 1\n1 ** array\narray **= 1\n\narray << 1\n1 << array\narray <<= 1\n\narray >> 1\n1 >> array\narray >>= 1\n\narray & 1\n1 & array\narray &= 1\n\narray ^ 1\n1 ^ array\narray ^= 1\n\narray | 1\n1 | array\narray |= 1\n\n# unary arithmetic\n-array\n+array\nabs(array)\n~array\n\n# Other methods\nnp.array([1, 2]).transpose()\n | .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.typing.DTypeLike | None = None,\n copy: bool | None = None) -> np.ndarray[Any, np.dtype[np.object_]]:\n ret = np.empty((), dtype=object)\n ret[()] = self\n return ret\n\n\nAR_LIKE_b = [True, True, False]\nAR_LIKE_u = [np.uint32(1), np.uint32(2), np.uint32(3)]\nAR_LIKE_i = [1, 2, 3]\nAR_LIKE_f = [1.0, 2.0, 3.0]\nAR_LIKE_O = [Object(), Object(), Object()]\nAR_U: np.ndarray[Any, np.dtype[np.str_]] = np.zeros(3, dtype="U5")\n\nnp.fix(AR_LIKE_b)\nnp.fix(AR_LIKE_u)\nnp.fix(AR_LIKE_i)\nnp.fix(AR_LIKE_f)\nnp.fix(AR_LIKE_O)\nnp.fix(AR_LIKE_f, out=AR_U)\n\nnp.isposinf(AR_LIKE_b)\nnp.isposinf(AR_LIKE_u)\nnp.isposinf(AR_LIKE_i)\nnp.isposinf(AR_LIKE_f)\nnp.isposinf(AR_LIKE_f, out=AR_U)\n\nnp.isneginf(AR_LIKE_b)\nnp.isneginf(AR_LIKE_u)\nnp.isneginf(AR_LIKE_i)\nnp.isneginf(AR_LIKE_f)\nnp.isneginf(AR_LIKE_f, out=AR_U)\n | .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 `np.sin(...)`.\n#\n# np.sin(1) + np.sin(1)\nnp.sin.types[0]\nnp.sin.__name__\nnp.sin.__doc__\n\nnp.abs(np.array([1]))\n | .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 return None\n\n\nclass Write2:\n def write(self, a: str, b: int = 1) -> None:\n return None\n\n\nclass Write3:\n def write(self, a: str) -> int:\n return 0\n\n\n_err_default = np.geterr()\n_bufsize_default = np.getbufsize()\n_errcall_default = np.geterrcall()\n\ntry:\n np.seterr(all=None)\n np.seterr(divide="ignore")\n np.seterr(over="warn")\n np.seterr(under="call")\n np.seterr(invalid="raise")\n np.geterr()\n\n np.setbufsize(4096)\n np.getbufsize()\n\n np.seterrcall(func1)\n np.seterrcall(func2)\n np.seterrcall(func3)\n np.seterrcall(Write1())\n np.seterrcall(Write2())\n np.seterrcall(Write3())\n np.geterrcall()\n\n with np.errstate(call=func1, all="call"):\n pass\n with np.errstate(call=Write1(), divide="log", over="log"):\n pass\n\nfinally:\n np.seterr(**_err_default)\n np.setbufsize(_bufsize_default)\n np.seterrcall(_errcall_default)\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 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\arithmetic.cpython-313.pyc | arithmetic.cpython-313.pyc | Other | 12,398 | 0.8 | 0 | 0.016216 | node-utils | 667 | 2024-10-01T10:24:45.249860 | BSD-3-Clause | true | cdb15683baa651f37a01ce45f8945cac |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\arrayprint.cpython-313.pyc | arrayprint.cpython-313.pyc | Other | 1,351 | 0.8 | 0 | 0 | awesome-app | 145 | 2024-05-24T09:10:39.850319 | BSD-3-Clause | true | fb1f10fdb892ff3a6c05ee09c0865f0a |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\arrayterator.cpython-313.pyc | arrayterator.cpython-313.pyc | Other | 1,038 | 0.7 | 0 | 0 | node-utils | 797 | 2023-09-04T08:34:43.069591 | GPL-3.0 | true | aad3cca385fec82b008f102f89279465 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\array_constructors.cpython-313.pyc | array_constructors.cpython-313.pyc | Other | 6,701 | 0.95 | 0 | 0.02381 | awesome-app | 138 | 2023-07-21T09:01:23.745872 | MIT | true | f3175d9d4867e03af304be9c264a547c |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\array_like.cpython-313.pyc | array_like.cpython-313.pyc | Other | 2,489 | 0.8 | 0 | 0 | node-utils | 270 | 2024-04-13T05:18:38.924110 | Apache-2.0 | true | eda05792de7ff1cc283deb67a1bae4b3 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\bitwise_ops.cpython-313.pyc | bitwise_ops.cpython-313.pyc | Other | 2,374 | 0.8 | 0 | 0 | react-lib | 297 | 2023-11-08T05:21:14.853560 | MIT | true | ca05e140fc1afbded1e5974bc120a077 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\comparisons.cpython-313.pyc | comparisons.cpython-313.pyc | Other | 6,780 | 0.8 | 0 | 0 | awesome-app | 738 | 2024-03-29T18:59:34.335911 | BSD-3-Clause | true | 1eaedfffc7460e61716d2cf3894d324e |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\dtype.cpython-313.pyc | dtype.cpython-313.pyc | Other | 2,331 | 0.8 | 0 | 0 | vue-tools | 647 | 2024-08-19T12:38:15.856401 | MIT | true | c9015c4fc5498470b24891f5bbd9936a |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\einsumfunc.cpython-313.pyc | einsumfunc.cpython-313.pyc | Other | 2,204 | 0.7 | 0 | 0 | node-utils | 829 | 2023-08-05T17:34:32.131546 | MIT | true | db26c6fa8dde437f15a8cdca08ebf74c |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\flatiter.cpython-313.pyc | flatiter.cpython-313.pyc | Other | 930 | 0.8 | 0 | 0 | node-utils | 613 | 2023-10-14T20:05:41.911649 | BSD-3-Clause | true | b9dfa317291dbf6ef9aa0bcb9f4afc38 |
\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 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\index_tricks.cpython-313.pyc | index_tricks.cpython-313.pyc | Other | 3,199 | 0.8 | 0 | 0.090909 | vue-tools | 810 | 2025-04-25T08:35:19.084962 | BSD-3-Clause | true | 814fd420b12be1decab770af755e6782 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\lib_user_array.cpython-313.pyc | lib_user_array.cpython-313.pyc | Other | 1,077 | 0.7 | 0.083333 | 0 | awesome-app | 579 | 2024-01-27T10:54:41.386167 | Apache-2.0 | true | d617b4e2a4eac696a4300a0e91143ce4 |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\lib_utils.cpython-313.pyc | lib_utils.cpython-313.pyc | Other | 863 | 0.7 | 0 | 0 | node-utils | 312 | 2024-05-05T05:48:20.445521 | BSD-3-Clause | true | 2f07d594669acb0be496b36d921b751d |
\n\n | .venv\Lib\site-packages\numpy\typing\tests\data\pass\__pycache__\lib_version.cpython-313.pyc | lib_version.cpython-313.pyc | Other | 685 | 0.7 | 0 | 0 | node-utils | 260 | 2025-07-06T04:50:25.781302 | Apache-2.0 | true | add762894903890abbd5bbfaa037bd38 |
\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 |
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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 platforms\nf16: np.floating[_128Bit]\nf8: np.float64\nf4: np.float32\n\ni8: np.int64\ni4: np.int32\n\nu8: np.uint64\nu4: np.uint32\n\nb_: np.bool\n\nM8: np.datetime64\nM8_none: np.datetime64[None]\nM8_date: np.datetime64[dt.date]\nM8_time: np.datetime64[dt.datetime]\nM8_int: np.datetime64[int]\ndate: dt.date\ntime: dt.datetime\n\nm8: np.timedelta64\nm8_none: np.timedelta64[None]\nm8_int: np.timedelta64[int]\nm8_delta: np.timedelta64[dt.timedelta]\ndelta: dt.timedelta\n\nAR_b: npt.NDArray[np.bool]\nAR_u: npt.NDArray[np.uint32]\nAR_i: npt.NDArray[np.int64]\nAR_f: npt.NDArray[np.float64]\nAR_c: npt.NDArray[np.complex128]\nAR_m: npt.NDArray[np.timedelta64]\nAR_M: npt.NDArray[np.datetime64]\nAR_O: npt.NDArray[np.object_]\nAR_S: npt.NDArray[np.bytes_]\nAR_U: npt.NDArray[np.str_]\nAR_T: np.ndarray[tuple[Any, ...], np.dtypes.StringDType]\nAR_floating: npt.NDArray[np.floating]\nAR_number: npt.NDArray[np.number]\nAR_Any: npt.NDArray[Any]\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_m: list[np.timedelta64]\nAR_LIKE_M: list[np.datetime64]\nAR_LIKE_O: list[np.object_]\n\n\n# Array subtraction\n\nassert_type(AR_number - AR_number, npt.NDArray[np.number])\n\nassert_type(AR_b - AR_LIKE_u, npt.NDArray[np.uint32])\nassert_type(AR_b - AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_b - AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_b - AR_LIKE_c, npt.NDArray[np.complexfloating])\nassert_type(AR_b - AR_LIKE_m, npt.NDArray[np.timedelta64])\nassert_type(AR_b - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_u - AR_b, npt.NDArray[np.uint32])\nassert_type(AR_LIKE_i - AR_b, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f - AR_b, npt.NDArray[np.floating])\nassert_type(AR_LIKE_c - AR_b, npt.NDArray[np.complexfloating])\nassert_type(AR_LIKE_m - AR_b, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_M - AR_b, npt.NDArray[np.datetime64])\nassert_type(AR_LIKE_O - AR_b, Any)\n\nassert_type(AR_u - AR_LIKE_b, npt.NDArray[np.uint32])\nassert_type(AR_u - AR_LIKE_u, npt.NDArray[np.unsignedinteger])\nassert_type(AR_u - AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_u - AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_u - AR_LIKE_c, npt.NDArray[np.complexfloating])\nassert_type(AR_u - AR_LIKE_m, npt.NDArray[np.timedelta64])\nassert_type(AR_u - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_u, npt.NDArray[np.uint32])\nassert_type(AR_LIKE_u - AR_u, npt.NDArray[np.unsignedinteger])\nassert_type(AR_LIKE_i - AR_u, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f - AR_u, npt.NDArray[np.floating])\nassert_type(AR_LIKE_c - AR_u, npt.NDArray[np.complexfloating])\nassert_type(AR_LIKE_m - AR_u, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_M - AR_u, npt.NDArray[np.datetime64])\nassert_type(AR_LIKE_O - AR_u, Any)\n\nassert_type(AR_i - AR_LIKE_b, npt.NDArray[np.int64])\nassert_type(AR_i - AR_LIKE_u, npt.NDArray[np.signedinteger])\nassert_type(AR_i - AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_i - AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_i - AR_LIKE_c, npt.NDArray[np.complexfloating])\nassert_type(AR_i - AR_LIKE_m, npt.NDArray[np.timedelta64])\nassert_type(AR_i - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_i, npt.NDArray[np.int64])\nassert_type(AR_LIKE_u - AR_i, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_i - AR_i, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f - AR_i, npt.NDArray[np.floating])\nassert_type(AR_LIKE_c - AR_i, npt.NDArray[np.complexfloating])\nassert_type(AR_LIKE_m - AR_i, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_M - AR_i, npt.NDArray[np.datetime64])\nassert_type(AR_LIKE_O - AR_i, Any)\n\nassert_type(AR_f - AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_f - AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_f - AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_f - AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_f - AR_LIKE_c, npt.NDArray[np.complexfloating])\nassert_type(AR_f - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u - AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i - AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f - AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_c - AR_f, npt.NDArray[np.complexfloating])\nassert_type(AR_LIKE_O - AR_f, Any)\n\nassert_type(AR_c - AR_LIKE_b, npt.NDArray[np.complex128])\nassert_type(AR_c - AR_LIKE_u, npt.NDArray[np.complex128])\nassert_type(AR_c - AR_LIKE_i, npt.NDArray[np.complex128])\nassert_type(AR_c - AR_LIKE_f, npt.NDArray[np.complex128])\nassert_type(AR_c - AR_LIKE_c, npt.NDArray[np.complex128])\nassert_type(AR_c - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_c, npt.NDArray[np.complex128])\nassert_type(AR_LIKE_u - AR_c, npt.NDArray[np.complex128])\nassert_type(AR_LIKE_i - AR_c, npt.NDArray[np.complex128])\nassert_type(AR_LIKE_f - AR_c, npt.NDArray[np.complex128])\nassert_type(AR_LIKE_c - AR_c, npt.NDArray[np.complex128])\nassert_type(AR_LIKE_O - AR_c, Any)\n\nassert_type(AR_m - AR_LIKE_b, npt.NDArray[np.timedelta64])\nassert_type(AR_m - AR_LIKE_u, npt.NDArray[np.timedelta64])\nassert_type(AR_m - AR_LIKE_i, npt.NDArray[np.timedelta64])\nassert_type(AR_m - AR_LIKE_m, npt.NDArray[np.timedelta64])\nassert_type(AR_m - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_m, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_u - AR_m, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_i - AR_m, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_m - AR_m, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_M - AR_m, npt.NDArray[np.datetime64])\nassert_type(AR_LIKE_O - AR_m, Any)\n\nassert_type(AR_M - AR_LIKE_b, npt.NDArray[np.datetime64])\nassert_type(AR_M - AR_LIKE_u, npt.NDArray[np.datetime64])\nassert_type(AR_M - AR_LIKE_i, npt.NDArray[np.datetime64])\nassert_type(AR_M - AR_LIKE_m, npt.NDArray[np.datetime64])\nassert_type(AR_M - AR_LIKE_M, npt.NDArray[np.timedelta64])\nassert_type(AR_M - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_M - AR_M, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O - AR_M, Any)\n\nassert_type(AR_O - AR_LIKE_b, Any)\nassert_type(AR_O - AR_LIKE_u, Any)\nassert_type(AR_O - AR_LIKE_i, Any)\nassert_type(AR_O - AR_LIKE_f, Any)\nassert_type(AR_O - AR_LIKE_c, Any)\nassert_type(AR_O - AR_LIKE_m, Any)\nassert_type(AR_O - AR_LIKE_M, Any)\nassert_type(AR_O - AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b - AR_O, Any)\nassert_type(AR_LIKE_u - AR_O, Any)\nassert_type(AR_LIKE_i - AR_O, Any)\nassert_type(AR_LIKE_f - AR_O, Any)\nassert_type(AR_LIKE_c - AR_O, Any)\nassert_type(AR_LIKE_m - AR_O, Any)\nassert_type(AR_LIKE_M - AR_O, Any)\nassert_type(AR_LIKE_O - AR_O, Any)\n\n# Array "true" division\n\nassert_type(AR_f / b, npt.NDArray[np.float64])\nassert_type(AR_f / i, npt.NDArray[np.float64])\nassert_type(AR_f / f, npt.NDArray[np.float64])\n\nassert_type(b / AR_f, npt.NDArray[np.float64])\nassert_type(i / AR_f, npt.NDArray[np.float64])\nassert_type(f / AR_f, npt.NDArray[np.float64])\n\nassert_type(AR_b / AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_b / AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_b / AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_b / AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_b / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b / AR_b, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u / AR_b, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i / AR_b, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f / AR_b, npt.NDArray[np.float64])\nassert_type(AR_LIKE_O / AR_b, Any)\n\nassert_type(AR_u / AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_u / AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_u / AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_u / AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_u / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b / AR_u, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u / AR_u, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i / AR_u, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f / AR_u, npt.NDArray[np.float64])\nassert_type(AR_LIKE_m / AR_u, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O / AR_u, Any)\n\nassert_type(AR_i / AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_i / AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_i / AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_i / AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_i / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b / AR_i, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u / AR_i, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i / AR_i, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f / AR_i, npt.NDArray[np.float64])\nassert_type(AR_LIKE_m / AR_i, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O / AR_i, Any)\n\nassert_type(AR_f / AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_f / AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_f / AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_f / AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_f / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b / AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u / AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i / AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f / AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_m / AR_f, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O / AR_f, Any)\n\nassert_type(AR_m / AR_LIKE_u, npt.NDArray[np.timedelta64])\nassert_type(AR_m / AR_LIKE_i, npt.NDArray[np.timedelta64])\nassert_type(AR_m / AR_LIKE_f, npt.NDArray[np.timedelta64])\nassert_type(AR_m / AR_LIKE_m, npt.NDArray[np.float64])\nassert_type(AR_m / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_m / AR_m, npt.NDArray[np.float64])\nassert_type(AR_LIKE_O / AR_m, Any)\n\nassert_type(AR_O / AR_LIKE_b, Any)\nassert_type(AR_O / AR_LIKE_u, Any)\nassert_type(AR_O / AR_LIKE_i, Any)\nassert_type(AR_O / AR_LIKE_f, Any)\nassert_type(AR_O / AR_LIKE_m, Any)\nassert_type(AR_O / AR_LIKE_M, Any)\nassert_type(AR_O / AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b / AR_O, Any)\nassert_type(AR_LIKE_u / AR_O, Any)\nassert_type(AR_LIKE_i / AR_O, Any)\nassert_type(AR_LIKE_f / AR_O, Any)\nassert_type(AR_LIKE_m / AR_O, Any)\nassert_type(AR_LIKE_M / AR_O, Any)\nassert_type(AR_LIKE_O / AR_O, Any)\n\n# Array floor division\n\nassert_type(AR_b // AR_LIKE_b, npt.NDArray[np.int8])\nassert_type(AR_b // AR_LIKE_u, npt.NDArray[np.uint32])\nassert_type(AR_b // AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_b // AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_b // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b // AR_b, npt.NDArray[np.int8])\nassert_type(AR_LIKE_u // AR_b, npt.NDArray[np.uint32])\nassert_type(AR_LIKE_i // AR_b, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f // AR_b, npt.NDArray[np.floating])\nassert_type(AR_LIKE_O // AR_b, Any)\n\nassert_type(AR_u // AR_LIKE_b, npt.NDArray[np.uint32])\nassert_type(AR_u // AR_LIKE_u, npt.NDArray[np.unsignedinteger])\nassert_type(AR_u // AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_u // AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_u // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b // AR_u, npt.NDArray[np.uint32])\nassert_type(AR_LIKE_u // AR_u, npt.NDArray[np.unsignedinteger])\nassert_type(AR_LIKE_i // AR_u, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f // AR_u, npt.NDArray[np.floating])\nassert_type(AR_LIKE_m // AR_u, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O // AR_u, Any)\n\nassert_type(AR_i // AR_LIKE_b, npt.NDArray[np.int64])\nassert_type(AR_i // AR_LIKE_u, npt.NDArray[np.signedinteger])\nassert_type(AR_i // AR_LIKE_i, npt.NDArray[np.signedinteger])\nassert_type(AR_i // AR_LIKE_f, npt.NDArray[np.floating])\nassert_type(AR_i // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b // AR_i, npt.NDArray[np.int64])\nassert_type(AR_LIKE_u // AR_i, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_i // AR_i, npt.NDArray[np.signedinteger])\nassert_type(AR_LIKE_f // AR_i, npt.NDArray[np.floating])\nassert_type(AR_LIKE_m // AR_i, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O // AR_i, Any)\n\nassert_type(AR_f // AR_LIKE_b, npt.NDArray[np.float64])\nassert_type(AR_f // AR_LIKE_u, npt.NDArray[np.float64])\nassert_type(AR_f // AR_LIKE_i, npt.NDArray[np.float64])\nassert_type(AR_f // AR_LIKE_f, npt.NDArray[np.float64])\nassert_type(AR_f // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b // AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_u // AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_i // AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_f // AR_f, npt.NDArray[np.float64])\nassert_type(AR_LIKE_m // AR_f, npt.NDArray[np.timedelta64])\nassert_type(AR_LIKE_O // AR_f, Any)\n\nassert_type(AR_m // AR_LIKE_u, npt.NDArray[np.timedelta64])\nassert_type(AR_m // AR_LIKE_i, npt.NDArray[np.timedelta64])\nassert_type(AR_m // AR_LIKE_f, npt.NDArray[np.timedelta64])\nassert_type(AR_m // AR_LIKE_m, npt.NDArray[np.int64])\nassert_type(AR_m // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_m // AR_m, npt.NDArray[np.int64])\nassert_type(AR_LIKE_O // AR_m, Any)\n\nassert_type(AR_O // AR_LIKE_b, Any)\nassert_type(AR_O // AR_LIKE_u, Any)\nassert_type(AR_O // AR_LIKE_i, Any)\nassert_type(AR_O // AR_LIKE_f, Any)\nassert_type(AR_O // AR_LIKE_m, Any)\nassert_type(AR_O // AR_LIKE_M, Any)\nassert_type(AR_O // AR_LIKE_O, Any)\n\nassert_type(AR_LIKE_b // AR_O, Any)\nassert_type(AR_LIKE_u // AR_O, Any)\nassert_type(AR_LIKE_i // AR_O, Any)\nassert_type(AR_LIKE_f // AR_O, Any)\nassert_type(AR_LIKE_m // AR_O, Any)\nassert_type(AR_LIKE_M // AR_O, Any)\nassert_type(AR_LIKE_O // AR_O, Any)\n\n# unary ops\n\nassert_type(-f16, np.floating[_128Bit])\nassert_type(-c16, np.complex128)\nassert_type(-c8, np.complex64)\nassert_type(-f8, np.float64)\nassert_type(-f4, np.float32)\nassert_type(-i8, np.int64)\nassert_type(-i4, np.int32)\nassert_type(-u8, np.uint64)\nassert_type(-u4, np.uint32)\nassert_type(-m8, np.timedelta64)\nassert_type(-m8_none, np.timedelta64[None])\nassert_type(-m8_int, np.timedelta64[int])\nassert_type(-m8_delta, np.timedelta64[dt.timedelta])\nassert_type(-AR_f, npt.NDArray[np.float64])\n\nassert_type(+f16, np.floating[_128Bit])\nassert_type(+c16, np.complex128)\nassert_type(+c8, np.complex64)\nassert_type(+f8, np.float64)\nassert_type(+f4, np.float32)\nassert_type(+i8, np.int64)\nassert_type(+i4, np.int32)\nassert_type(+u8, np.uint64)\nassert_type(+u4, np.uint32)\nassert_type(+m8_none, np.timedelta64[None])\nassert_type(+m8_int, np.timedelta64[int])\nassert_type(+m8_delta, np.timedelta64[dt.timedelta])\nassert_type(+AR_f, npt.NDArray[np.float64])\n\nassert_type(abs(f16), np.floating[_128Bit])\nassert_type(abs(c16), np.float64)\nassert_type(abs(c8), np.float32)\nassert_type(abs(f8), np.float64)\nassert_type(abs(f4), np.float32)\nassert_type(abs(i8), np.int64)\nassert_type(abs(i4), np.int32)\nassert_type(abs(u8), np.uint64)\nassert_type(abs(u4), np.uint32)\nassert_type(abs(m8), np.timedelta64)\nassert_type(abs(m8_none), np.timedelta64[None])\nassert_type(abs(m8_int), np.timedelta64[int])\nassert_type(abs(m8_delta), np.timedelta64[dt.timedelta])\nassert_type(abs(b_), np.bool)\nassert_type(abs(AR_O), npt.NDArray[np.object_])\n\n# Time structures\n\nassert_type(M8 + m8, np.datetime64)\nassert_type(M8 + i, np.datetime64)\nassert_type(M8 + i8, np.datetime64)\nassert_type(M8 - M8, np.timedelta64)\nassert_type(M8 - i, np.datetime64)\nassert_type(M8 - i8, np.datetime64)\n\nassert_type(M8_none + m8, np.datetime64[None])\nassert_type(M8_none + i, np.datetime64[None])\nassert_type(M8_none + i8, np.datetime64[None])\nassert_type(M8_none - M8, np.timedelta64[None])\nassert_type(M8_none - m8, np.datetime64[None])\nassert_type(M8_none - i, np.datetime64[None])\nassert_type(M8_none - i8, np.datetime64[None])\n\nassert_type(m8 + m8, np.timedelta64)\nassert_type(m8 + i, np.timedelta64)\nassert_type(m8 + i8, np.timedelta64)\nassert_type(m8 - m8, np.timedelta64)\nassert_type(m8 - i, np.timedelta64)\nassert_type(m8 - i8, np.timedelta64)\nassert_type(m8 * f, np.timedelta64)\nassert_type(m8 * f4, np.timedelta64)\nassert_type(m8 * np.True_, np.timedelta64)\nassert_type(m8 / f, np.timedelta64)\nassert_type(m8 / f4, np.timedelta64)\nassert_type(m8 / m8, np.float64)\nassert_type(m8 // m8, np.int64)\nassert_type(m8 % m8, np.timedelta64)\nassert_type(divmod(m8, m8), tuple[np.int64, np.timedelta64])\n\nassert_type(m8_none + m8, np.timedelta64[None])\nassert_type(m8_none + i, np.timedelta64[None])\nassert_type(m8_none + i8, np.timedelta64[None])\nassert_type(m8_none - i, np.timedelta64[None])\nassert_type(m8_none - i8, np.timedelta64[None])\n\nassert_type(m8_int + i, np.timedelta64[int])\nassert_type(m8_int + m8_delta, np.timedelta64[int])\nassert_type(m8_int + m8, np.timedelta64[int | None])\nassert_type(m8_int - i, np.timedelta64[int])\nassert_type(m8_int - m8_delta, np.timedelta64[int])\nassert_type(m8_int - m8, np.timedelta64[int | None])\n\nassert_type(m8_delta + date, dt.date)\nassert_type(m8_delta + time, dt.datetime)\nassert_type(m8_delta + delta, dt.timedelta)\nassert_type(m8_delta - delta, dt.timedelta)\nassert_type(m8_delta / delta, float)\nassert_type(m8_delta // delta, int)\nassert_type(m8_delta % delta, dt.timedelta)\nassert_type(divmod(m8_delta, delta), tuple[int, dt.timedelta])\n\n# boolean\n\nassert_type(b_ / b, np.float64)\nassert_type(b_ / b_, np.float64)\nassert_type(b_ / i, np.float64)\nassert_type(b_ / i8, np.float64)\nassert_type(b_ / i4, np.float64)\nassert_type(b_ / u8, np.float64)\nassert_type(b_ / u4, np.float64)\nassert_type(b_ / f, np.float64)\nassert_type(b_ / f16, np.floating[_128Bit])\nassert_type(b_ / f8, np.float64)\nassert_type(b_ / f4, np.float32)\nassert_type(b_ / c, np.complex128)\nassert_type(b_ / c16, np.complex128)\nassert_type(b_ / c8, np.complex64)\n\nassert_type(b / b_, np.float64)\nassert_type(b_ / b_, np.float64)\nassert_type(i / b_, np.float64)\nassert_type(i8 / b_, np.float64)\nassert_type(i4 / b_, np.float64)\nassert_type(u8 / b_, np.float64)\nassert_type(u4 / b_, np.float64)\nassert_type(f / b_, np.float64)\nassert_type(f16 / b_, np.floating[_128Bit])\nassert_type(f8 / b_, np.float64)\nassert_type(f4 / b_, np.float32)\nassert_type(c / b_, np.complex128)\nassert_type(c16 / b_, np.complex128)\nassert_type(c8 / b_, np.complex64)\n\n# Complex\n\nassert_type(c16 + f16, np.complex128 | np.complexfloating[_128Bit, _128Bit])\nassert_type(c16 + c16, np.complex128)\nassert_type(c16 + f8, np.complex128)\nassert_type(c16 + i8, np.complex128)\nassert_type(c16 + c8, np.complex128)\nassert_type(c16 + f4, np.complex128)\nassert_type(c16 + i4, np.complex128)\nassert_type(c16 + b_, np.complex128)\nassert_type(c16 + b, np.complex128)\nassert_type(c16 + c, np.complex128)\nassert_type(c16 + f, np.complex128)\nassert_type(c16 + AR_f, npt.NDArray[np.complex128])\n\nassert_type(f16 + c16, np.complex128 | np.complexfloating[_128Bit, _128Bit])\nassert_type(c16 + c16, np.complex128)\nassert_type(f8 + c16, np.complex128)\nassert_type(i8 + c16, np.complex128)\nassert_type(c8 + c16, np.complex128 | np.complex64)\nassert_type(f4 + c16, np.complex128 | np.complex64)\nassert_type(i4 + c16, np.complex128)\nassert_type(b_ + c16, np.complex128)\nassert_type(b + c16, np.complex128)\nassert_type(c + c16, np.complex128)\nassert_type(f + c16, np.complex128)\nassert_type(AR_f + c16, npt.NDArray[np.complex128])\n\nassert_type(c8 + f16, np.complexfloating[_32Bit, _32Bit] | np.complexfloating[_128Bit, _128Bit])\nassert_type(c8 + c16, np.complex64 | np.complex128)\nassert_type(c8 + f8, np.complex64 | np.complex128)\nassert_type(c8 + i8, np.complexfloating[_32Bit, _32Bit] | np.complexfloating[_64Bit, _64Bit])\nassert_type(c8 + c8, np.complex64)\nassert_type(c8 + f4, np.complex64)\nassert_type(c8 + i4, np.complex64)\nassert_type(c8 + b_, np.complex64)\nassert_type(c8 + b, np.complex64)\nassert_type(c8 + c, np.complex64 | np.complex128)\nassert_type(c8 + f, np.complex64 | np.complex128)\nassert_type(c8 + AR_f, npt.NDArray[np.complexfloating])\n\nassert_type(f16 + c8, np.complexfloating[_128Bit, _128Bit] | np.complex64)\nassert_type(c16 + c8, np.complex128)\nassert_type(f8 + c8, np.complexfloating[_64Bit, _64Bit])\nassert_type(i8 + c8, np.complexfloating[_64Bit, _64Bit] | np.complex64)\nassert_type(c8 + c8, np.complex64)\nassert_type(f4 + c8, np.complex64)\nassert_type(i4 + c8, np.complex64)\nassert_type(b_ + c8, np.complex64)\nassert_type(b + c8, np.complex64)\nassert_type(c + c8, np.complex64 | np.complex128)\nassert_type(f + c8, np.complex64 | np.complex128)\nassert_type(AR_f + c8, npt.NDArray[np.complexfloating])\n\n# Float\n\nassert_type(f8 + f16, np.float64 | np.floating[_128Bit])\nassert_type(f8 + f8, np.float64)\nassert_type(f8 + i8, np.float64)\nassert_type(f8 + f4, np.float64)\nassert_type(f8 + i4, np.float64)\nassert_type(f8 + b_, np.float64)\nassert_type(f8 + b, np.float64)\nassert_type(f8 + c, np.float64 | np.complex128)\nassert_type(f8 + f, np.float64)\nassert_type(f8 + AR_f, npt.NDArray[np.float64])\n\nassert_type(f16 + f8, np.floating[_128Bit] | np.float64)\nassert_type(f8 + f8, np.float64)\nassert_type(i8 + f8, np.float64)\nassert_type(f4 + f8, np.float32 | np.float64)\nassert_type(i4 + f8,np.float64)\nassert_type(b_ + f8, np.float64)\nassert_type(b + f8, np.float64)\nassert_type(c + f8, np.complex128 | np.float64)\nassert_type(f + f8, np.float64)\nassert_type(AR_f + f8, npt.NDArray[np.float64])\n\nassert_type(f4 + f16, np.float32 | np.floating[_128Bit])\nassert_type(f4 + f8, np.float32 | np.float64)\nassert_type(f4 + i8, np.float32 | np.floating[_64Bit])\nassert_type(f4 + f4, np.float32)\nassert_type(f4 + i4, np.float32)\nassert_type(f4 + b_, np.float32)\nassert_type(f4 + b, np.float32)\nassert_type(f4 + c, np.complex64 | np.complex128)\nassert_type(f4 + f, np.float32 | np.float64)\nassert_type(f4 + AR_f, npt.NDArray[np.float64])\n\nassert_type(f16 + f4, np.floating[_128Bit] | np.float32)\nassert_type(f8 + f4, np.float64)\nassert_type(i8 + f4, np.floating[_32Bit] | np.floating[_64Bit])\nassert_type(f4 + f4, np.float32)\nassert_type(i4 + f4, np.float32)\nassert_type(b_ + f4, np.float32)\nassert_type(b + f4, np.float32)\nassert_type(c + f4, np.complex64 | np.complex128)\nassert_type(f + f4, np.float64 | np.float32)\nassert_type(AR_f + f4, npt.NDArray[np.float64])\n\n# Int\n\nassert_type(i8 + i8, np.int64)\nassert_type(i8 + u8, Any)\nassert_type(i8 + i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i8 + u4, Any)\nassert_type(i8 + b_, np.int64)\nassert_type(i8 + b, np.int64)\nassert_type(i8 + c, np.complex128)\nassert_type(i8 + f, np.float64)\nassert_type(i8 + AR_f, npt.NDArray[np.float64])\n\nassert_type(u8 + u8, np.uint64)\nassert_type(u8 + i4, Any)\nassert_type(u8 + u4, np.unsignedinteger[_32Bit] | np.unsignedinteger[_64Bit])\nassert_type(u8 + b_, np.uint64)\nassert_type(u8 + b, np.uint64)\nassert_type(u8 + c, np.complex128)\nassert_type(u8 + f, np.float64)\nassert_type(u8 + AR_f, npt.NDArray[np.float64])\n\nassert_type(i8 + i8, np.int64)\nassert_type(u8 + i8, Any)\nassert_type(i4 + i8, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(u4 + i8, Any)\nassert_type(b_ + i8, np.int64)\nassert_type(b + i8, np.int64)\nassert_type(c + i8, np.complex128)\nassert_type(f + i8, np.float64)\nassert_type(AR_f + i8, npt.NDArray[np.float64])\n\nassert_type(u8 + u8, np.uint64)\nassert_type(i4 + u8, Any)\nassert_type(u4 + u8, np.unsignedinteger[_32Bit] | np.unsignedinteger[_64Bit])\nassert_type(b_ + u8, np.uint64)\nassert_type(b + u8, np.uint64)\nassert_type(c + u8, np.complex128)\nassert_type(f + u8, np.float64)\nassert_type(AR_f + u8, npt.NDArray[np.float64])\n\nassert_type(i4 + i8, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i4 + i4, np.int32)\nassert_type(i4 + b_, np.int32)\nassert_type(i4 + b, np.int32)\nassert_type(i4 + AR_f, npt.NDArray[np.float64])\n\nassert_type(u4 + i8, Any)\nassert_type(u4 + i4, Any)\nassert_type(u4 + u8, np.unsignedinteger[_32Bit] | np.unsignedinteger[_64Bit])\nassert_type(u4 + u4, np.uint32)\nassert_type(u4 + b_, np.uint32)\nassert_type(u4 + b, np.uint32)\nassert_type(u4 + AR_f, npt.NDArray[np.float64])\n\nassert_type(i8 + i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i4 + i4, np.int32)\nassert_type(b_ + i4, np.int32)\nassert_type(b + i4, np.int32)\nassert_type(AR_f + i4, npt.NDArray[np.float64])\n\nassert_type(i8 + u4, Any)\nassert_type(i4 + u4, Any)\nassert_type(u8 + u4, np.unsignedinteger[_32Bit] | np.unsignedinteger[_64Bit])\nassert_type(u4 + u4, np.uint32)\nassert_type(b_ + u4, np.uint32)\nassert_type(b + u4, np.uint32)\nassert_type(AR_f + u4, npt.NDArray[np.float64])\n\n# Any\n\nassert_type(AR_Any + 2, npt.NDArray[Any])\n\n# regression tests for https://github.com/numpy/numpy/issues/28805\n\nassert_type(AR_floating + f, npt.NDArray[np.floating])\nassert_type(AR_floating - f, npt.NDArray[np.floating])\nassert_type(AR_floating * f, npt.NDArray[np.floating])\nassert_type(AR_floating ** f, npt.NDArray[np.floating])\nassert_type(AR_floating / f, npt.NDArray[np.floating])\nassert_type(AR_floating // f, npt.NDArray[np.floating])\nassert_type(AR_floating % f, npt.NDArray[np.floating])\nassert_type(divmod(AR_floating, f), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\n\nassert_type(f + AR_floating, npt.NDArray[np.floating])\nassert_type(f - AR_floating, npt.NDArray[np.floating])\nassert_type(f * AR_floating, npt.NDArray[np.floating])\nassert_type(f ** AR_floating, npt.NDArray[np.floating])\nassert_type(f / AR_floating, npt.NDArray[np.floating])\nassert_type(f // AR_floating, npt.NDArray[np.floating])\nassert_type(f % AR_floating, npt.NDArray[np.floating])\nassert_type(divmod(f, AR_floating), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\n\n# character-like\n\nassert_type(AR_S + b"", npt.NDArray[np.bytes_])\nassert_type(AR_S + [b""], npt.NDArray[np.bytes_])\nassert_type([b""] + AR_S, npt.NDArray[np.bytes_])\nassert_type(AR_S + AR_S, npt.NDArray[np.bytes_])\n\nassert_type(AR_U + "", npt.NDArray[np.str_])\nassert_type(AR_U + [""], npt.NDArray[np.str_])\nassert_type("" + AR_U, npt.NDArray[np.str_])\nassert_type([""] + AR_U, npt.NDArray[np.str_])\nassert_type(AR_U + AR_U, npt.NDArray[np.str_])\n\nassert_type(AR_T + "", np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_T + [""], np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type("" + AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type([""] + AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_T + AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_T + AR_U, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_U + AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\n\nassert_type(AR_S * i, np.ndarray[tuple[Any, ...], np.dtype[np.bytes_]])\nassert_type(AR_S * AR_LIKE_i, np.ndarray[tuple[Any, ...], np.dtype[np.bytes_]])\nassert_type(AR_S * AR_i, np.ndarray[tuple[Any, ...], np.dtype[np.bytes_]])\nassert_type(i * AR_S, np.ndarray[tuple[Any, ...], np.dtype[np.bytes_]])\n# mypy incorrectly infers `AR_LIKE_i * AR_S` as `list[int]`\nassert_type(AR_i * AR_S, np.ndarray[tuple[Any, ...], np.dtype[np.bytes_]])\n\nassert_type(AR_U * i, np.ndarray[tuple[Any, ...], np.dtype[np.str_]])\nassert_type(AR_U * AR_LIKE_i, np.ndarray[tuple[Any, ...], np.dtype[np.str_]])\nassert_type(AR_U * AR_i, np.ndarray[tuple[Any, ...], np.dtype[np.str_]])\nassert_type(i * AR_U, np.ndarray[tuple[Any, ...], np.dtype[np.str_]])\n# mypy incorrectly infers `AR_LIKE_i * AR_U` as `list[int]`\nassert_type(AR_i * AR_U, np.ndarray[tuple[Any, ...], np.dtype[np.str_]])\n\nassert_type(AR_T * i, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_T * AR_LIKE_i, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(AR_T * AR_i, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\nassert_type(i * AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\n# mypy incorrectly infers `AR_LIKE_i * AR_T` as `list[int]`\nassert_type(AR_i * AR_T, np.ndarray[tuple[Any, ...], np.dtypes.StringDType])\n | .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.int64]\nAR_f8: npt.NDArray[np.float64]\nAR_LIKE: list[int]\n\nassert_type(np.pad(AR_i8, (2, 3), "constant"), npt.NDArray[np.int64])\nassert_type(np.pad(AR_LIKE, (2, 3), "constant"), npt.NDArray[Any])\n\nassert_type(np.pad(AR_f8, (2, 3), mode_func), npt.NDArray[np.float64])\nassert_type(np.pad(AR_f8, (2, 3), mode_func, a=1, b=2), npt.NDArray[np.float64])\n | .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(np.get_printoptions(), _FormatOptions)\nassert_type(\n np.array2string(AR, formatter={'float_kind': func_float, 'int_kind': func_int}),\n str,\n)\nassert_type(np.format_float_scientific(1.0), str)\nassert_type(np.format_float_positional(1), str)\nassert_type(np.array_repr(AR), str)\nassert_type(np.array_str(AR), str)\n\nassert_type(np.printoptions(), contextlib._GeneratorContextManager[_FormatOptions])\nwith np.printoptions() as dct:\n assert_type(dct, _FormatOptions)\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.datetime64]\nAR_O: npt.NDArray[np.object_]\n\nAR_LIKE_f8: list[float]\n\nassert_type(np.ediff1d(AR_b), npt.NDArray[np.int8])\nassert_type(np.ediff1d(AR_i8, to_end=[1, 2, 3]), npt.NDArray[np.int64])\nassert_type(np.ediff1d(AR_M), npt.NDArray[np.timedelta64])\nassert_type(np.ediff1d(AR_O), npt.NDArray[np.object_])\nassert_type(np.ediff1d(AR_LIKE_f8, to_begin=[1, 1.5]), npt.NDArray[Any])\n\nassert_type(np.intersect1d(AR_i8, AR_i8), npt.NDArray[np.int64])\nassert_type(np.intersect1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])\nassert_type(np.intersect1d(AR_f8, AR_i8), npt.NDArray[Any])\nassert_type(\n np.intersect1d(AR_f8, AR_f8, return_indices=True),\n tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]],\n)\n\nassert_type(np.setxor1d(AR_i8, AR_i8), npt.NDArray[np.int64])\nassert_type(np.setxor1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])\nassert_type(np.setxor1d(AR_f8, AR_i8), npt.NDArray[Any])\n\nassert_type(np.isin(AR_i8, AR_i8), npt.NDArray[np.bool])\nassert_type(np.isin(AR_M, AR_M, assume_unique=True), npt.NDArray[np.bool])\nassert_type(np.isin(AR_f8, AR_i8), npt.NDArray[np.bool])\nassert_type(np.isin(AR_f8, AR_LIKE_f8, invert=True), npt.NDArray[np.bool])\n\nassert_type(np.union1d(AR_i8, AR_i8), npt.NDArray[np.int64])\nassert_type(np.union1d(AR_M, AR_M), npt.NDArray[np.datetime64])\nassert_type(np.union1d(AR_f8, AR_i8), npt.NDArray[Any])\n\nassert_type(np.setdiff1d(AR_i8, AR_i8), npt.NDArray[np.int64])\nassert_type(np.setdiff1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])\nassert_type(np.setdiff1d(AR_f8, AR_i8), npt.NDArray[Any])\n\nassert_type(np.unique(AR_f8), npt.NDArray[np.float64])\nassert_type(np.unique(AR_LIKE_f8, axis=0), npt.NDArray[Any])\nassert_type(np.unique(AR_f8, return_index=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_index=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_inverse=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_inverse=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_index=True, return_inverse=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_index=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_index=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_inverse=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_inverse=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_f8, return_index=True, return_inverse=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp], npt.NDArray[np.intp]])\nassert_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp], npt.NDArray[np.intp]])\n\nassert_type(np.unique_all(AR_f8), UniqueAllResult[np.float64])\nassert_type(np.unique_all(AR_LIKE_f8), UniqueAllResult[Any])\nassert_type(np.unique_counts(AR_f8), UniqueCountsResult[np.float64])\nassert_type(np.unique_counts(AR_LIKE_f8), UniqueCountsResult[Any])\nassert_type(np.unique_inverse(AR_f8), UniqueInverseResult[np.float64])\nassert_type(np.unique_inverse(AR_LIKE_f8), UniqueInverseResult[Any])\nassert_type(np.unique_values(AR_f8), npt.NDArray[np.float64])\nassert_type(np.unique_values(AR_LIKE_f8), npt.NDArray[Any])\n | .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, list[int])\nassert_type(ar_iter.stop, list[int])\nassert_type(ar_iter.step, list[int])\nassert_type(ar_iter.shape, tuple[Any, ...])\nassert_type(ar_iter.flat, Generator[np.int64, None, None])\n\nassert_type(ar_iter.__array__(), npt.NDArray[np.int64])\n\nfor i in ar_iter:\n assert_type(i, npt.NDArray[np.int64])\n\nassert_type(ar_iter[0], np.lib.Arrayterator[tuple[Any, ...], np.dtype[np.int64]])\nassert_type(ar_iter[...], np.lib.Arrayterator[tuple[Any, ...], np.dtype[np.int64]])\nassert_type(ar_iter[:], np.lib.Arrayterator[tuple[Any, ...], np.dtype[np.int64]])\nassert_type(ar_iter[0, 0, 0], np.lib.Arrayterator[tuple[Any, ...], np.dtype[np.int64]])\nassert_type(ar_iter[..., 0, :], np.lib.Arrayterator[tuple[Any, ...], np.dtype[np.int64]])\n | .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_type(info.capabilities()["boolean indexing"], Literal[True])\nassert_type(info.capabilities()["data-dependent shapes"], Literal[True])\n\nassert_type(info.default_dtypes()["real floating"], np.dtype[np.float64])\nassert_type(info.default_dtypes()["complex floating"], np.dtype[np.complex128])\nassert_type(info.default_dtypes()["integral"], np.dtype[np.int_])\nassert_type(info.default_dtypes()["indexing"], np.dtype[np.intp])\n\nassert_type(info.dtypes()["bool"], np.dtype[np.bool])\nassert_type(info.dtypes()["int8"], np.dtype[np.int8])\nassert_type(info.dtypes()["uint8"], np.dtype[np.uint8])\nassert_type(info.dtypes()["float32"], np.dtype[np.float32])\nassert_type(info.dtypes()["complex64"], np.dtype[np.complex64])\n\nassert_type(info.dtypes(kind="bool")["bool"], np.dtype[np.bool])\nassert_type(info.dtypes(kind="signed integer")["int64"], np.dtype[np.int64])\nassert_type(info.dtypes(kind="unsigned integer")["uint64"], np.dtype[np.uint64])\nassert_type(info.dtypes(kind="integral")["int32"], np.dtype[np.int32])\nassert_type(info.dtypes(kind="integral")["uint32"], np.dtype[np.uint32])\nassert_type(info.dtypes(kind="real floating")["float64"], np.dtype[np.float64])\nassert_type(info.dtypes(kind="complex floating")["complex128"], np.dtype[np.complex128])\nassert_type(info.dtypes(kind="numeric")["int16"], np.dtype[np.int16])\nassert_type(info.dtypes(kind="numeric")["uint16"], np.dtype[np.uint16])\nassert_type(info.dtypes(kind="numeric")["float64"], np.dtype[np.float64])\nassert_type(info.dtypes(kind="numeric")["complex128"], np.dtype[np.complex128])\n\nassert_type(info.dtypes(kind=()), dict[Never, Never])\n\nassert_type(info.dtypes(kind=("bool",))["bool"], np.dtype[np.bool])\nassert_type(info.dtypes(kind=("signed integer",))["int64"], np.dtype[np.int64])\nassert_type(info.dtypes(kind=("integral",))["uint32"], np.dtype[np.uint32])\nassert_type(info.dtypes(kind=("complex floating",))["complex128"], np.dtype[np.complex128])\nassert_type(info.dtypes(kind=("numeric",))["float64"], np.dtype[np.float64])\n\nassert_type(\n info.dtypes(kind=("signed integer", "unsigned integer"))["int8"],\n np.dtype[np.int8],\n)\nassert_type(\n info.dtypes(kind=("signed integer", "unsigned integer"))["uint8"],\n np.dtype[np.uint8],\n)\nassert_type(\n info.dtypes(kind=("integral", "real floating", "complex floating"))["int16"],\n np.dtype[np.int16],\n)\nassert_type(\n info.dtypes(kind=("integral", "real floating", "complex floating"))["uint16"],\n np.dtype[np.uint16],\n)\nassert_type(\n info.dtypes(kind=("integral", "real floating", "complex floating"))["float32"],\n np.dtype[np.float32],\n)\nassert_type(\n info.dtypes(kind=("integral", "real floating", "complex floating"))["complex64"],\n np.dtype[np.complex64],\n)\n | .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[np.float64]\nB: SubClass[np.float64]\nC: list[int]\nD: SubClass[np.float64 | np.int64]\n\nmixed_shape: tuple[int, np.int64]\n\ndef func(i: int, j: int, **kwargs: Any) -> SubClass[np.float64]: ...\n\nassert_type(np.empty_like(A), npt.NDArray[np.float64])\nassert_type(np.empty_like(B), SubClass[np.float64])\nassert_type(np.empty_like([1, 1.0]), npt.NDArray[Any])\nassert_type(np.empty_like(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.empty_like(A, dtype='c16'), npt.NDArray[Any])\n\nassert_type(np.array(A), npt.NDArray[np.float64])\nassert_type(np.array(B), npt.NDArray[np.float64])\nassert_type(np.array([1, 1.0]), npt.NDArray[Any])\nassert_type(np.array(deque([1, 2, 3])), npt.NDArray[Any])\nassert_type(np.array(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.array(A, dtype='c16'), npt.NDArray[Any])\nassert_type(np.array(A, like=A), npt.NDArray[np.float64])\nassert_type(np.array(A, subok=True), npt.NDArray[np.float64])\nassert_type(np.array(B, subok=True), SubClass[np.float64])\nassert_type(np.array(B, subok=True, ndmin=0), SubClass[np.float64])\nassert_type(np.array(B, subok=True, ndmin=1), SubClass[np.float64])\nassert_type(np.array(D), npt.NDArray[np.float64 | np.int64])\n\nassert_type(np.zeros([1, 5, 6]), npt.NDArray[np.float64])\nassert_type(np.zeros([1, 5, 6], dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.zeros([1, 5, 6], dtype='c16'), npt.NDArray[Any])\nassert_type(np.zeros(mixed_shape), npt.NDArray[np.float64])\n\nassert_type(np.empty([1, 5, 6]), npt.NDArray[np.float64])\nassert_type(np.empty([1, 5, 6], dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.empty([1, 5, 6], dtype='c16'), npt.NDArray[Any])\nassert_type(np.empty(mixed_shape), npt.NDArray[np.float64])\n\nassert_type(np.concatenate(A), npt.NDArray[np.float64])\nassert_type(np.concatenate([A, A]), Any) # pyright correctly infers this as NDArray[float64]\nassert_type(np.concatenate([[1], A]), npt.NDArray[Any])\nassert_type(np.concatenate([[1], [1]]), npt.NDArray[Any])\nassert_type(np.concatenate((A, A)), npt.NDArray[np.float64])\nassert_type(np.concatenate(([1], [1])), npt.NDArray[Any])\nassert_type(np.concatenate([1, 1.0]), npt.NDArray[Any])\nassert_type(np.concatenate(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.concatenate(A, dtype='c16'), npt.NDArray[Any])\nassert_type(np.concatenate([1, 1.0], out=A), npt.NDArray[np.float64])\n\nassert_type(np.asarray(A), npt.NDArray[np.float64])\nassert_type(np.asarray(B), npt.NDArray[np.float64])\nassert_type(np.asarray([1, 1.0]), npt.NDArray[Any])\nassert_type(np.asarray(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.asarray(A, dtype='c16'), npt.NDArray[Any])\n\nassert_type(np.asanyarray(A), npt.NDArray[np.float64])\nassert_type(np.asanyarray(B), SubClass[np.float64])\nassert_type(np.asanyarray([1, 1.0]), npt.NDArray[Any])\nassert_type(np.asanyarray(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.asanyarray(A, dtype='c16'), npt.NDArray[Any])\n\nassert_type(np.ascontiguousarray(A), npt.NDArray[np.float64])\nassert_type(np.ascontiguousarray(B), npt.NDArray[np.float64])\nassert_type(np.ascontiguousarray([1, 1.0]), npt.NDArray[Any])\nassert_type(np.ascontiguousarray(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.ascontiguousarray(A, dtype='c16'), npt.NDArray[Any])\n\nassert_type(np.asfortranarray(A), npt.NDArray[np.float64])\nassert_type(np.asfortranarray(B), npt.NDArray[np.float64])\nassert_type(np.asfortranarray([1, 1.0]), npt.NDArray[Any])\nassert_type(np.asfortranarray(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.asfortranarray(A, dtype='c16'), npt.NDArray[Any])\n\nassert_type(np.fromstring("1 1 1", sep=" "), npt.NDArray[np.float64])\nassert_type(np.fromstring(b"1 1 1", sep=" "), npt.NDArray[np.float64])\nassert_type(np.fromstring("1 1 1", dtype=np.int64, sep=" "), npt.NDArray[np.int64])\nassert_type(np.fromstring(b"1 1 1", dtype=np.int64, sep=" "), npt.NDArray[np.int64])\nassert_type(np.fromstring("1 1 1", dtype="c16", sep=" "), npt.NDArray[Any])\nassert_type(np.fromstring(b"1 1 1", dtype="c16", sep=" "), npt.NDArray[Any])\n\nassert_type(np.fromfile("test.txt", sep=" "), npt.NDArray[np.float64])\nassert_type(np.fromfile("test.txt", dtype=np.int64, sep=" "), npt.NDArray[np.int64])\nassert_type(np.fromfile("test.txt", dtype="c16", sep=" "), npt.NDArray[Any])\nwith open("test.txt") as f:\n assert_type(np.fromfile(f, sep=" "), npt.NDArray[np.float64])\n assert_type(np.fromfile(b"test.txt", sep=" "), npt.NDArray[np.float64])\n assert_type(np.fromfile(Path("test.txt"), sep=" "), npt.NDArray[np.float64])\n\nassert_type(np.fromiter("12345", np.float64), npt.NDArray[np.float64])\nassert_type(np.fromiter("12345", float), npt.NDArray[Any])\n\nassert_type(np.frombuffer(A), npt.NDArray[np.float64])\nassert_type(np.frombuffer(A, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.frombuffer(A, dtype="c16"), npt.NDArray[Any])\n\nassert_type(np.arange(False, True), np.ndarray[tuple[int], np.dtype[np.signedinteger]])\nassert_type(np.arange(10), np.ndarray[tuple[int], np.dtype[np.signedinteger]])\nassert_type(np.arange(0, 10, step=2), np.ndarray[tuple[int], np.dtype[np.signedinteger]])\nassert_type(np.arange(10.0), np.ndarray[tuple[int], np.dtype[np.floating]])\nassert_type(np.arange(start=0, stop=10.0), np.ndarray[tuple[int], np.dtype[np.floating]])\nassert_type(np.arange(np.timedelta64(0)), np.ndarray[tuple[int], np.dtype[np.timedelta64]])\nassert_type(np.arange(0, np.timedelta64(10)), np.ndarray[tuple[int], np.dtype[np.timedelta64]])\nassert_type(np.arange(np.datetime64("0"), np.datetime64("10")), np.ndarray[tuple[int], np.dtype[np.datetime64]])\nassert_type(np.arange(10, dtype=np.float64), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(np.arange(0, 10, step=2, dtype=np.int16), np.ndarray[tuple[int], np.dtype[np.int16]])\nassert_type(np.arange(10, dtype=int), np.ndarray[tuple[int], np.dtype])\nassert_type(np.arange(0, 10, dtype="f8"), np.ndarray[tuple[int], np.dtype])\n\nassert_type(np.require(A), npt.NDArray[np.float64])\nassert_type(np.require(B), SubClass[np.float64])\nassert_type(np.require(B, requirements=None), SubClass[np.float64])\nassert_type(np.require(B, dtype=int), npt.NDArray[Any])\nassert_type(np.require(B, requirements="E"), npt.NDArray[Any])\nassert_type(np.require(B, requirements=["ENSUREARRAY"]), npt.NDArray[Any])\nassert_type(np.require(B, requirements={"F", "E"}), npt.NDArray[Any])\nassert_type(np.require(B, requirements=["C", "OWNDATA"]), SubClass[np.float64])\nassert_type(np.require(B, requirements="W"), SubClass[np.float64])\nassert_type(np.require(B, requirements="A"), SubClass[np.float64])\nassert_type(np.require(C), npt.NDArray[Any])\n\nassert_type(np.linspace(0, 10), npt.NDArray[np.float64])\nassert_type(np.linspace(0, 10j), npt.NDArray[np.complexfloating])\nassert_type(np.linspace(0, 10, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.linspace(0, 10, dtype=int), npt.NDArray[Any])\nassert_type(np.linspace(0, 10, retstep=True), tuple[npt.NDArray[np.float64], np.float64])\nassert_type(np.linspace(0j, 10, retstep=True), tuple[npt.NDArray[np.complexfloating], np.complexfloating])\nassert_type(np.linspace(0, 10, retstep=True, dtype=np.int64), tuple[npt.NDArray[np.int64], np.int64])\nassert_type(np.linspace(0j, 10, retstep=True, dtype=int), tuple[npt.NDArray[Any], Any])\n\nassert_type(np.logspace(0, 10), npt.NDArray[np.float64])\nassert_type(np.logspace(0, 10j), npt.NDArray[np.complexfloating])\nassert_type(np.logspace(0, 10, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.logspace(0, 10, dtype=int), npt.NDArray[Any])\n\nassert_type(np.geomspace(0, 10), npt.NDArray[np.float64])\nassert_type(np.geomspace(0, 10j), npt.NDArray[np.complexfloating])\nassert_type(np.geomspace(0, 10, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.geomspace(0, 10, dtype=int), npt.NDArray[Any])\n\nassert_type(np.zeros_like(A), npt.NDArray[np.float64])\nassert_type(np.zeros_like(C), npt.NDArray[Any])\nassert_type(np.zeros_like(A, dtype=float), npt.NDArray[Any])\nassert_type(np.zeros_like(B), SubClass[np.float64])\nassert_type(np.zeros_like(B, dtype=np.int64), npt.NDArray[np.int64])\n\nassert_type(np.ones_like(A), npt.NDArray[np.float64])\nassert_type(np.ones_like(C), npt.NDArray[Any])\nassert_type(np.ones_like(A, dtype=float), npt.NDArray[Any])\nassert_type(np.ones_like(B), SubClass[np.float64])\nassert_type(np.ones_like(B, dtype=np.int64), npt.NDArray[np.int64])\n\nassert_type(np.full_like(A, i8), npt.NDArray[np.float64])\nassert_type(np.full_like(C, i8), npt.NDArray[Any])\nassert_type(np.full_like(A, i8, dtype=int), npt.NDArray[Any])\nassert_type(np.full_like(B, i8), SubClass[np.float64])\nassert_type(np.full_like(B, i8, dtype=np.int64), npt.NDArray[np.int64])\n\n_size: int\n_shape_0d: tuple[()]\n_shape_1d: tuple[int]\n_shape_2d: tuple[int, int]\n_shape_nd: tuple[int, ...]\n_shape_like: list[int]\n\nassert_type(np.ones(_shape_0d), np.ndarray[tuple[()], np.dtype[np.float64]])\nassert_type(np.ones(_size), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(np.ones(_shape_2d), np.ndarray[tuple[int, int], np.dtype[np.float64]])\nassert_type(np.ones(_shape_nd), np.ndarray[tuple[int, ...], np.dtype[np.float64]])\nassert_type(np.ones(_shape_1d, dtype=np.int64), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(np.ones(_shape_like), npt.NDArray[np.float64])\nassert_type(np.ones(_shape_like, dtype=np.dtypes.Int64DType()), np.ndarray[Any, np.dtypes.Int64DType])\nassert_type(np.ones(_shape_like, dtype=int), npt.NDArray[Any])\nassert_type(np.ones(mixed_shape), npt.NDArray[np.float64])\n\nassert_type(np.full(_size, i8), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(np.full(_shape_2d, i8), np.ndarray[tuple[int, int], np.dtype[np.int64]])\nassert_type(np.full(_shape_like, i8), npt.NDArray[np.int64])\nassert_type(np.full(_shape_like, 42), npt.NDArray[Any])\nassert_type(np.full(_size, i8, dtype=np.float64), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(np.full(_size, i8, dtype=float), np.ndarray[tuple[int], np.dtype])\nassert_type(np.full(_shape_like, 42, dtype=float), npt.NDArray[Any])\nassert_type(np.full(_shape_0d, i8, dtype=object), np.ndarray[tuple[()], np.dtype])\n\nassert_type(np.indices([1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.indices([1, 2, 3], sparse=True), tuple[npt.NDArray[np.int_], ...])\n\nassert_type(np.fromfunction(func, (3, 5)), SubClass[np.float64])\n\nassert_type(np.identity(10), npt.NDArray[np.float64])\nassert_type(np.identity(10, dtype=np.int64), npt.NDArray[np.int64])\nassert_type(np.identity(10, dtype=int), npt.NDArray[Any])\n\nassert_type(np.atleast_1d(A), npt.NDArray[np.float64])\nassert_type(np.atleast_1d(C), npt.NDArray[Any])\nassert_type(np.atleast_1d(A, A), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]])\nassert_type(np.atleast_1d(A, C), tuple[npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.atleast_1d(C, C), tuple[npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.atleast_1d(A, A, A), tuple[npt.NDArray[np.float64], ...])\nassert_type(np.atleast_1d(C, C, C), tuple[npt.NDArray[Any], ...])\n\nassert_type(np.atleast_2d(A), npt.NDArray[np.float64])\nassert_type(np.atleast_2d(A, A), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]])\nassert_type(np.atleast_2d(A, A, A), tuple[npt.NDArray[np.float64], ...])\n\nassert_type(np.atleast_3d(A), npt.NDArray[np.float64])\nassert_type(np.atleast_3d(A, A), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]])\nassert_type(np.atleast_3d(A, A, A), tuple[npt.NDArray[np.float64], ...])\n\nassert_type(np.vstack([A, A]), np.ndarray[Any, Any]) # pyright correctly infers this as NDArray[float64]\nassert_type(np.vstack([A, A], dtype=np.float32), npt.NDArray[np.float32])\nassert_type(np.vstack([A, C]), npt.NDArray[Any])\nassert_type(np.vstack([C, C]), npt.NDArray[Any])\n\nassert_type(np.hstack([A, A]), np.ndarray[Any, Any]) # pyright correctly infers this as NDArray[float64]\nassert_type(np.hstack([A, A], dtype=np.float32), npt.NDArray[np.float32])\n\nassert_type(np.stack([A, A]), np.ndarray[Any, Any]) # pyright correctly infers this as NDArray[float64]\nassert_type(np.stack([A, A], dtype=np.float32), npt.NDArray[np.float32])\nassert_type(np.stack([A, C]), npt.NDArray[Any])\nassert_type(np.stack([C, C]), npt.NDArray[Any])\nassert_type(np.stack([A, A], axis=0), np.ndarray[Any, Any]) # pyright correctly infers this as NDArray[float64]\nassert_type(np.stack([A, A], out=B), SubClass[np.float64])\n\nassert_type(np.block([[A, A], [A, A]]), npt.NDArray[Any]) # pyright correctly infers this as NDArray[float64]\nassert_type(np.block(C), npt.NDArray[Any])\n\nif sys.version_info >= (3, 12):\n from collections.abc import Buffer\n\n def create_array(obj: npt.ArrayLike) -> npt.NDArray[Any]: ...\n\n buffer: Buffer\n assert_type(create_array(buffer), npt.NDArray[Any])\n | .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]\nb0_: np.bool[FalseType]\nb1_: np.bool[TrueType]\n\nb: bool\nb0: FalseType\nb1: TrueType\n\ni: int\n\nAR: npt.NDArray[np.int32]\n\nassert_type(i8 << i8, np.int64)\nassert_type(i8 >> i8, np.int64)\nassert_type(i8 | i8, np.int64)\nassert_type(i8 ^ i8, np.int64)\nassert_type(i8 & i8, np.int64)\n\nassert_type(i8 << AR, npt.NDArray[np.signedinteger])\nassert_type(i8 >> AR, npt.NDArray[np.signedinteger])\nassert_type(i8 | AR, npt.NDArray[np.signedinteger])\nassert_type(i8 ^ AR, npt.NDArray[np.signedinteger])\nassert_type(i8 & AR, npt.NDArray[np.signedinteger])\n\nassert_type(i4 << i4, np.int32)\nassert_type(i4 >> i4, np.int32)\nassert_type(i4 | i4, np.int32)\nassert_type(i4 ^ i4, np.int32)\nassert_type(i4 & i4, np.int32)\n\nassert_type(i8 << i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i8 >> i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i8 | i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i8 ^ i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\nassert_type(i8 & i4, np.signedinteger[_32Bit] | np.signedinteger[_64Bit])\n\nassert_type(i8 << b_, np.int64)\nassert_type(i8 >> b_, np.int64)\nassert_type(i8 | b_, np.int64)\nassert_type(i8 ^ b_, np.int64)\nassert_type(i8 & b_, np.int64)\n\nassert_type(i8 << b, np.int64)\nassert_type(i8 >> b, np.int64)\nassert_type(i8 | b, np.int64)\nassert_type(i8 ^ b, np.int64)\nassert_type(i8 & b, np.int64)\n\nassert_type(u8 << u8, np.uint64)\nassert_type(u8 >> u8, np.uint64)\nassert_type(u8 | u8, np.uint64)\nassert_type(u8 ^ u8, np.uint64)\nassert_type(u8 & u8, np.uint64)\n\nassert_type(u8 << AR, npt.NDArray[np.signedinteger])\nassert_type(u8 >> AR, npt.NDArray[np.signedinteger])\nassert_type(u8 | AR, npt.NDArray[np.signedinteger])\nassert_type(u8 ^ AR, npt.NDArray[np.signedinteger])\nassert_type(u8 & AR, npt.NDArray[np.signedinteger])\n\nassert_type(u4 << u4, np.uint32)\nassert_type(u4 >> u4, np.uint32)\nassert_type(u4 | u4, np.uint32)\nassert_type(u4 ^ u4, np.uint32)\nassert_type(u4 & u4, np.uint32)\n\nassert_type(u4 << i4, np.signedinteger)\nassert_type(u4 >> i4, np.signedinteger)\nassert_type(u4 | i4, np.signedinteger)\nassert_type(u4 ^ i4, np.signedinteger)\nassert_type(u4 & i4, np.signedinteger)\n\nassert_type(u4 << i, np.signedinteger)\nassert_type(u4 >> i, np.signedinteger)\nassert_type(u4 | i, np.signedinteger)\nassert_type(u4 ^ i, np.signedinteger)\nassert_type(u4 & i, np.signedinteger)\n\nassert_type(u8 << b_, np.uint64)\nassert_type(u8 >> b_, np.uint64)\nassert_type(u8 | b_, np.uint64)\nassert_type(u8 ^ b_, np.uint64)\nassert_type(u8 & b_, np.uint64)\n\nassert_type(u8 << b, np.uint64)\nassert_type(u8 >> b, np.uint64)\nassert_type(u8 | b, np.uint64)\nassert_type(u8 ^ b, np.uint64)\nassert_type(u8 & b, np.uint64)\n\nassert_type(b_ << b_, np.int8)\nassert_type(b_ >> b_, np.int8)\nassert_type(b_ | b_, np.bool)\nassert_type(b_ ^ b_, np.bool)\nassert_type(b_ & b_, np.bool)\n\nassert_type(b_ << AR, npt.NDArray[np.signedinteger])\nassert_type(b_ >> AR, npt.NDArray[np.signedinteger])\nassert_type(b_ | AR, npt.NDArray[np.signedinteger])\nassert_type(b_ ^ AR, npt.NDArray[np.signedinteger])\nassert_type(b_ & AR, npt.NDArray[np.signedinteger])\n\nassert_type(b_ << b, np.int8)\nassert_type(b_ >> b, np.int8)\nassert_type(b_ | b, np.bool)\nassert_type(b_ ^ b, np.bool)\nassert_type(b_ & b, np.bool)\n\nassert_type(b_ << i, np.int_)\nassert_type(b_ >> i, np.int_)\nassert_type(b_ | i, np.bool | np.int_)\nassert_type(b_ ^ i, np.bool | np.int_)\nassert_type(b_ & i, np.bool | np.int_)\n\nassert_type(~i8, np.int64)\nassert_type(~i4, np.int32)\nassert_type(~u8, np.uint64)\nassert_type(~u4, np.uint32)\nassert_type(~b_, np.bool)\nassert_type(~b0_, np.bool[TrueType])\nassert_type(~b1_, np.bool[FalseType])\nassert_type(~AR, npt.NDArray[np.int32])\n\nassert_type(b_ | b0_, np.bool)\nassert_type(b0_ | b_, np.bool)\nassert_type(b_ | b1_, np.bool[TrueType])\nassert_type(b1_ | b_, np.bool[TrueType])\n\nassert_type(b_ ^ b0_, np.bool)\nassert_type(b0_ ^ b_, np.bool)\nassert_type(b_ ^ b1_, np.bool)\nassert_type(b1_ ^ b_, np.bool)\n\nassert_type(b_ & b0_, np.bool[FalseType])\nassert_type(b0_ & b_, np.bool[FalseType])\nassert_type(b_ & b1_, np.bool)\nassert_type(b1_ & b_, np.bool)\n\nassert_type(b0_ | b0_, np.bool[FalseType])\nassert_type(b0_ | b1_, np.bool[TrueType])\nassert_type(b1_ | b0_, np.bool[TrueType])\nassert_type(b1_ | b1_, np.bool[TrueType])\n\nassert_type(b0_ ^ b0_, np.bool[FalseType])\nassert_type(b0_ ^ b1_, np.bool[TrueType])\nassert_type(b1_ ^ b0_, np.bool[TrueType])\nassert_type(b1_ ^ b1_, np.bool[FalseType])\n\nassert_type(b0_ & b0_, np.bool[FalseType])\nassert_type(b0_ & b1_, np.bool[FalseType])\nassert_type(b1_ & b0_, np.bool[FalseType])\nassert_type(b1_ & b1_, np.bool[TrueType])\n | .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_]\nAR_T: AR_T_alias\n\nassert_type(np.char.equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.not_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.not_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.not_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.greater_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.greater_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.greater_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.less_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.less_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.less_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.greater(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.greater(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.greater(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.less(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.char.less(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.char.less(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.multiply(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.char.multiply(AR_S, [5, 4, 3]), npt.NDArray[np.bytes_])\nassert_type(np.char.multiply(AR_T, 5), AR_T_alias)\n\nassert_type(np.char.mod(AR_U, "test"), npt.NDArray[np.str_])\nassert_type(np.char.mod(AR_S, "test"), npt.NDArray[np.bytes_])\nassert_type(np.char.mod(AR_T, "test"), AR_T_alias)\n\nassert_type(np.char.capitalize(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.capitalize(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.char.capitalize(AR_T), AR_T_alias)\n\nassert_type(np.char.center(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.char.center(AR_S, [2, 3, 4], b"a"), npt.NDArray[np.bytes_])\nassert_type(np.char.center(AR_T, 5), AR_T_alias)\n\nassert_type(np.char.encode(AR_U), npt.NDArray[np.bytes_])\nassert_type(np.char.encode(AR_T), npt.NDArray[np.bytes_])\nassert_type(np.char.decode(AR_S), npt.NDArray[np.str_])\n\nassert_type(np.char.expandtabs(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.expandtabs(AR_S, tabsize=4), npt.NDArray[np.bytes_])\nassert_type(np.char.expandtabs(AR_T), AR_T_alias)\n\nassert_type(np.char.join(AR_U, "_"), npt.NDArray[np.str_])\nassert_type(np.char.join(AR_S, [b"_", b""]), npt.NDArray[np.bytes_])\nassert_type(np.char.join(AR_T, "_"), AR_TU_alias)\n\nassert_type(np.char.ljust(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.char.ljust(AR_S, [4, 3, 1], fillchar=[b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.char.ljust(AR_T, 5), AR_T_alias)\nassert_type(np.char.ljust(AR_T, [4, 2, 1], fillchar=["a", "b", "c"]), AR_TU_alias)\n\nassert_type(np.char.rjust(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.char.rjust(AR_S, [4, 3, 1], fillchar=[b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.char.rjust(AR_T, 5), AR_T_alias)\nassert_type(np.char.rjust(AR_T, [4, 2, 1], fillchar=["a", "b", "c"]), AR_TU_alias)\n\nassert_type(np.char.lstrip(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.lstrip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.char.lstrip(AR_T), AR_T_alias)\nassert_type(np.char.lstrip(AR_T, "_"), AR_TU_alias)\n\nassert_type(np.char.rstrip(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.rstrip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.char.rstrip(AR_T), AR_T_alias)\nassert_type(np.char.rstrip(AR_T, "_"), AR_TU_alias)\n\nassert_type(np.char.strip(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.strip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.char.strip(AR_T), AR_T_alias)\nassert_type(np.char.strip(AR_T, "_"), AR_TU_alias)\n\nassert_type(np.char.count(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.count(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.char.count(AR_T, AR_T, start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.count(AR_T, ["a", "b", "c"], end=9), npt.NDArray[np.int_])\n\nassert_type(np.char.partition(AR_U, "\n"), npt.NDArray[np.str_])\nassert_type(np.char.partition(AR_S, [b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.char.partition(AR_T, "\n"), AR_TU_alias)\n\nassert_type(np.char.rpartition(AR_U, "\n"), npt.NDArray[np.str_])\nassert_type(np.char.rpartition(AR_S, [b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.char.rpartition(AR_T, "\n"), AR_TU_alias)\n\nassert_type(np.char.replace(AR_U, "_", "-"), npt.NDArray[np.str_])\nassert_type(np.char.replace(AR_S, [b"_", b""], [b"a", b"b"]), npt.NDArray[np.bytes_])\nassert_type(np.char.replace(AR_T, "_", "_"), AR_TU_alias)\n\nassert_type(np.char.split(AR_U, "_"), npt.NDArray[np.object_])\nassert_type(np.char.split(AR_S, maxsplit=[1, 2, 3]), npt.NDArray[np.object_])\nassert_type(np.char.split(AR_T, "_"), npt.NDArray[np.object_])\n\nassert_type(np.char.rsplit(AR_U, "_"), npt.NDArray[np.object_])\nassert_type(np.char.rsplit(AR_S, maxsplit=[1, 2, 3]), npt.NDArray[np.object_])\nassert_type(np.char.rsplit(AR_T, "_"), npt.NDArray[np.object_])\n\nassert_type(np.char.splitlines(AR_U), npt.NDArray[np.object_])\nassert_type(np.char.splitlines(AR_S, keepends=[True, True, False]), npt.NDArray[np.object_])\nassert_type(np.char.splitlines(AR_T), npt.NDArray[np.object_])\n\nassert_type(np.char.lower(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.lower(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.char.lower(AR_T), AR_T_alias)\n\nassert_type(np.char.upper(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.upper(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.char.upper(AR_T), AR_T_alias)\n\nassert_type(np.char.swapcase(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.swapcase(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.char.swapcase(AR_T), AR_T_alias)\n\nassert_type(np.char.title(AR_U), npt.NDArray[np.str_])\nassert_type(np.char.title(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.char.title(AR_T), AR_T_alias)\n\nassert_type(np.char.zfill(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.char.zfill(AR_S, [2, 3, 4]), npt.NDArray[np.bytes_])\nassert_type(np.char.zfill(AR_T, 5), AR_T_alias)\n\nassert_type(np.char.endswith(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(np.char.endswith(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\nassert_type(np.char.endswith(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\n\nassert_type(np.char.startswith(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(np.char.startswith(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\nassert_type(np.char.startswith(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\n\nassert_type(np.char.find(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.find(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.char.find(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.char.rfind(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.rfind(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.char.rfind(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.char.index(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.index(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.char.index(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.char.rindex(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.char.rindex(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.char.rindex(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.char.isalpha(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isalpha(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.isalpha(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isalnum(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isalnum(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.isalnum(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isdecimal(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isdecimal(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isdigit(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isdigit(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.isdigit(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.islower(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.islower(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.islower(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isnumeric(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isnumeric(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isspace(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isspace(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.isspace(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.istitle(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.istitle(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.istitle(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.isupper(AR_U), npt.NDArray[np.bool])\nassert_type(np.char.isupper(AR_S), npt.NDArray[np.bool])\nassert_type(np.char.isupper(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.char.str_len(AR_U), npt.NDArray[np.int_])\nassert_type(np.char.str_len(AR_S), npt.NDArray[np.int_])\nassert_type(np.char.str_len(AR_T), npt.NDArray[np.int_])\n\nassert_type(np.char.translate(AR_U, ""), npt.NDArray[np.str_])\nassert_type(np.char.translate(AR_S, ""), npt.NDArray[np.bytes_])\nassert_type(np.char.translate(AR_T, ""), AR_T_alias)\n\nassert_type(np.char.array(AR_U), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\nassert_type(np.char.array(AR_S, order="K"), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.array("bob", copy=True), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\nassert_type(np.char.array(b"bob", itemsize=5), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.array(1, unicode=False), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.array(1, unicode=True), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\n\nassert_type(np.char.asarray(AR_U), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\nassert_type(np.char.asarray(AR_S, order="K"), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.asarray("bob"), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\nassert_type(np.char.asarray(b"bob", itemsize=5), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.asarray(1, unicode=False), np.char.chararray[np_t._AnyShape, np.dtype[np.bytes_]])\nassert_type(np.char.asarray(1, unicode=True), np.char.chararray[np_t._AnyShape, np.dtype[np.str_]])\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\nassert_type(AR_U == AR_U, npt.NDArray[np.bool])\nassert_type(AR_S == AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U != AR_U, npt.NDArray[np.bool])\nassert_type(AR_S != AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U >= AR_U, npt.NDArray[np.bool])\nassert_type(AR_S >= AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U <= AR_U, npt.NDArray[np.bool])\nassert_type(AR_S <= AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U > AR_U, npt.NDArray[np.bool])\nassert_type(AR_S > AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U < AR_U, npt.NDArray[np.bool])\nassert_type(AR_S < AR_S, npt.NDArray[np.bool])\n\nassert_type(AR_U * 5, _StrCharArray)\nassert_type(AR_S * [5], _BytesCharArray)\n\nassert_type(AR_U % "test", _StrCharArray)\nassert_type(AR_S % b"test", _BytesCharArray)\n\nassert_type(AR_U.capitalize(), _StrCharArray)\nassert_type(AR_S.capitalize(), _BytesCharArray)\n\nassert_type(AR_U.center(5), _StrCharArray)\nassert_type(AR_S.center([2, 3, 4], b"a"), _BytesCharArray)\n\nassert_type(AR_U.encode(), _BytesCharArray)\nassert_type(AR_S.decode(), _StrCharArray)\n\nassert_type(AR_U.expandtabs(), _StrCharArray)\nassert_type(AR_S.expandtabs(tabsize=4), _BytesCharArray)\n\nassert_type(AR_U.join("_"), _StrCharArray)\nassert_type(AR_S.join([b"_", b""]), _BytesCharArray)\n\nassert_type(AR_U.ljust(5), _StrCharArray)\nassert_type(AR_S.ljust([4, 3, 1], fillchar=[b"a", b"b", b"c"]), _BytesCharArray)\nassert_type(AR_U.rjust(5), _StrCharArray)\nassert_type(AR_S.rjust([4, 3, 1], fillchar=[b"a", b"b", b"c"]), _BytesCharArray)\n\nassert_type(AR_U.lstrip(), _StrCharArray)\nassert_type(AR_S.lstrip(chars=b"_"), _BytesCharArray)\nassert_type(AR_U.rstrip(), _StrCharArray)\nassert_type(AR_S.rstrip(chars=b"_"), _BytesCharArray)\nassert_type(AR_U.strip(), _StrCharArray)\nassert_type(AR_S.strip(chars=b"_"), _BytesCharArray)\n\nassert_type(AR_U.partition("\n"), _StrCharArray)\nassert_type(AR_S.partition([b"a", b"b", b"c"]), _BytesCharArray)\nassert_type(AR_U.rpartition("\n"), _StrCharArray)\nassert_type(AR_S.rpartition([b"a", b"b", b"c"]), _BytesCharArray)\n\nassert_type(AR_U.replace("_", "-"), _StrCharArray)\nassert_type(AR_S.replace([b"_", b""], [b"a", b"b"]), _BytesCharArray)\n\nassert_type(AR_U.split("_"), npt.NDArray[np.object_])\nassert_type(AR_S.split(maxsplit=[1, 2, 3]), npt.NDArray[np.object_])\nassert_type(AR_U.rsplit("_"), npt.NDArray[np.object_])\nassert_type(AR_S.rsplit(maxsplit=[1, 2, 3]), npt.NDArray[np.object_])\n\nassert_type(AR_U.splitlines(), npt.NDArray[np.object_])\nassert_type(AR_S.splitlines(keepends=[True, True, False]), npt.NDArray[np.object_])\n\nassert_type(AR_U.swapcase(), _StrCharArray)\nassert_type(AR_S.swapcase(), _BytesCharArray)\n\nassert_type(AR_U.title(), _StrCharArray)\nassert_type(AR_S.title(), _BytesCharArray)\n\nassert_type(AR_U.upper(), _StrCharArray)\nassert_type(AR_S.upper(), _BytesCharArray)\n\nassert_type(AR_U.zfill(5), _StrCharArray)\nassert_type(AR_S.zfill([2, 3, 4]), _BytesCharArray)\n\nassert_type(AR_U.count("a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(AR_S.count([b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\n\nassert_type(AR_U.endswith("a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(AR_S.endswith([b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\nassert_type(AR_U.startswith("a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(AR_S.startswith([b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\n\nassert_type(AR_U.find("a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(AR_S.find([b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(AR_U.rfind("a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(AR_S.rfind([b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\n\nassert_type(AR_U.index("a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(AR_S.index([b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(AR_U.rindex("a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(AR_S.rindex([b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\n\nassert_type(AR_U.isalpha(), npt.NDArray[np.bool])\nassert_type(AR_S.isalpha(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isalnum(), npt.NDArray[np.bool])\nassert_type(AR_S.isalnum(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isdecimal(), npt.NDArray[np.bool])\nassert_type(AR_S.isdecimal(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isdigit(), npt.NDArray[np.bool])\nassert_type(AR_S.isdigit(), npt.NDArray[np.bool])\n\nassert_type(AR_U.islower(), npt.NDArray[np.bool])\nassert_type(AR_S.islower(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isnumeric(), npt.NDArray[np.bool])\nassert_type(AR_S.isnumeric(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isspace(), npt.NDArray[np.bool])\nassert_type(AR_S.isspace(), npt.NDArray[np.bool])\n\nassert_type(AR_U.istitle(), npt.NDArray[np.bool])\nassert_type(AR_S.istitle(), npt.NDArray[np.bool])\n\nassert_type(AR_U.isupper(), npt.NDArray[np.bool])\nassert_type(AR_S.isupper(), npt.NDArray[np.bool])\n\nassert_type(AR_U.__array_finalize__(object()), None)\nassert_type(AR_S.__array_finalize__(object()), None)\n | .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.timedelta64(0, "D")\n\nb_ = np.bool()\n\nb = bool()\nc = complex()\nf = float()\ni = int()\n\nAR = np.array([0], dtype=np.int64)\nAR.setflags(write=False)\n\nSEQ = (0, 1, 2, 3, 4)\n\n# object-like comparisons\n\nassert_type(i8 > fractions.Fraction(1, 5), np.bool)\nassert_type(i8 > [fractions.Fraction(1, 5)], npt.NDArray[np.bool])\nassert_type(i8 > decimal.Decimal("1.5"), np.bool)\nassert_type(i8 > [decimal.Decimal("1.5")], npt.NDArray[np.bool])\n\n# Time structures\n\nassert_type(dt > dt, np.bool)\n\nassert_type(td > td, np.bool)\nassert_type(td > i, np.bool)\nassert_type(td > i4, np.bool)\nassert_type(td > i8, np.bool)\n\nassert_type(td > AR, npt.NDArray[np.bool])\nassert_type(td > SEQ, npt.NDArray[np.bool])\nassert_type(AR > SEQ, npt.NDArray[np.bool])\nassert_type(AR > td, npt.NDArray[np.bool])\nassert_type(SEQ > td, npt.NDArray[np.bool])\nassert_type(SEQ > AR, npt.NDArray[np.bool])\n\n# boolean\n\nassert_type(b_ > b, np.bool)\nassert_type(b_ > b_, np.bool)\nassert_type(b_ > i, np.bool)\nassert_type(b_ > i8, np.bool)\nassert_type(b_ > i4, np.bool)\nassert_type(b_ > u8, np.bool)\nassert_type(b_ > u4, np.bool)\nassert_type(b_ > f, np.bool)\nassert_type(b_ > f8, np.bool)\nassert_type(b_ > f4, np.bool)\nassert_type(b_ > c, np.bool)\nassert_type(b_ > c16, np.bool)\nassert_type(b_ > c8, np.bool)\nassert_type(b_ > AR, npt.NDArray[np.bool])\nassert_type(b_ > SEQ, npt.NDArray[np.bool])\n\n# Complex\n\nassert_type(c16 > c16, np.bool)\nassert_type(c16 > f8, np.bool)\nassert_type(c16 > i8, np.bool)\nassert_type(c16 > c8, np.bool)\nassert_type(c16 > f4, np.bool)\nassert_type(c16 > i4, np.bool)\nassert_type(c16 > b_, np.bool)\nassert_type(c16 > b, np.bool)\nassert_type(c16 > c, np.bool)\nassert_type(c16 > f, np.bool)\nassert_type(c16 > i, np.bool)\nassert_type(c16 > AR, npt.NDArray[np.bool])\nassert_type(c16 > SEQ, npt.NDArray[np.bool])\n\nassert_type(c16 > c16, np.bool)\nassert_type(f8 > c16, np.bool)\nassert_type(i8 > c16, np.bool)\nassert_type(c8 > c16, np.bool)\nassert_type(f4 > c16, np.bool)\nassert_type(i4 > c16, np.bool)\nassert_type(b_ > c16, np.bool)\nassert_type(b > c16, np.bool)\nassert_type(c > c16, np.bool)\nassert_type(f > c16, np.bool)\nassert_type(i > c16, np.bool)\nassert_type(AR > c16, npt.NDArray[np.bool])\nassert_type(SEQ > c16, npt.NDArray[np.bool])\n\nassert_type(c8 > c16, np.bool)\nassert_type(c8 > f8, np.bool)\nassert_type(c8 > i8, np.bool)\nassert_type(c8 > c8, np.bool)\nassert_type(c8 > f4, np.bool)\nassert_type(c8 > i4, np.bool)\nassert_type(c8 > b_, np.bool)\nassert_type(c8 > b, np.bool)\nassert_type(c8 > c, np.bool)\nassert_type(c8 > f, np.bool)\nassert_type(c8 > i, np.bool)\nassert_type(c8 > AR, npt.NDArray[np.bool])\nassert_type(c8 > SEQ, npt.NDArray[np.bool])\n\nassert_type(c16 > c8, np.bool)\nassert_type(f8 > c8, np.bool)\nassert_type(i8 > c8, np.bool)\nassert_type(c8 > c8, np.bool)\nassert_type(f4 > c8, np.bool)\nassert_type(i4 > c8, np.bool)\nassert_type(b_ > c8, np.bool)\nassert_type(b > c8, np.bool)\nassert_type(c > c8, np.bool)\nassert_type(f > c8, np.bool)\nassert_type(i > c8, np.bool)\nassert_type(AR > c8, npt.NDArray[np.bool])\nassert_type(SEQ > c8, npt.NDArray[np.bool])\n\n# Float\n\nassert_type(f8 > f8, np.bool)\nassert_type(f8 > i8, np.bool)\nassert_type(f8 > f4, np.bool)\nassert_type(f8 > i4, np.bool)\nassert_type(f8 > b_, np.bool)\nassert_type(f8 > b, np.bool)\nassert_type(f8 > c, np.bool)\nassert_type(f8 > f, np.bool)\nassert_type(f8 > i, np.bool)\nassert_type(f8 > AR, npt.NDArray[np.bool])\nassert_type(f8 > SEQ, npt.NDArray[np.bool])\n\nassert_type(f8 > f8, np.bool)\nassert_type(i8 > f8, np.bool)\nassert_type(f4 > f8, np.bool)\nassert_type(i4 > f8, np.bool)\nassert_type(b_ > f8, np.bool)\nassert_type(b > f8, np.bool)\nassert_type(c > f8, np.bool)\nassert_type(f > f8, np.bool)\nassert_type(i > f8, np.bool)\nassert_type(AR > f8, npt.NDArray[np.bool])\nassert_type(SEQ > f8, npt.NDArray[np.bool])\n\nassert_type(f4 > f8, np.bool)\nassert_type(f4 > i8, np.bool)\nassert_type(f4 > f4, np.bool)\nassert_type(f4 > i4, np.bool)\nassert_type(f4 > b_, np.bool)\nassert_type(f4 > b, np.bool)\nassert_type(f4 > c, np.bool)\nassert_type(f4 > f, np.bool)\nassert_type(f4 > i, np.bool)\nassert_type(f4 > AR, npt.NDArray[np.bool])\nassert_type(f4 > SEQ, npt.NDArray[np.bool])\n\nassert_type(f8 > f4, np.bool)\nassert_type(i8 > f4, np.bool)\nassert_type(f4 > f4, np.bool)\nassert_type(i4 > f4, np.bool)\nassert_type(b_ > f4, np.bool)\nassert_type(b > f4, np.bool)\nassert_type(c > f4, np.bool)\nassert_type(f > f4, np.bool)\nassert_type(i > f4, np.bool)\nassert_type(AR > f4, npt.NDArray[np.bool])\nassert_type(SEQ > f4, npt.NDArray[np.bool])\n\n# Int\n\nassert_type(i8 > i8, np.bool)\nassert_type(i8 > u8, np.bool)\nassert_type(i8 > i4, np.bool)\nassert_type(i8 > u4, np.bool)\nassert_type(i8 > b_, np.bool)\nassert_type(i8 > b, np.bool)\nassert_type(i8 > c, np.bool)\nassert_type(i8 > f, np.bool)\nassert_type(i8 > i, np.bool)\nassert_type(i8 > AR, npt.NDArray[np.bool])\nassert_type(i8 > SEQ, npt.NDArray[np.bool])\n\nassert_type(u8 > u8, np.bool)\nassert_type(u8 > i4, np.bool)\nassert_type(u8 > u4, np.bool)\nassert_type(u8 > b_, np.bool)\nassert_type(u8 > b, np.bool)\nassert_type(u8 > c, np.bool)\nassert_type(u8 > f, np.bool)\nassert_type(u8 > i, np.bool)\nassert_type(u8 > AR, npt.NDArray[np.bool])\nassert_type(u8 > SEQ, npt.NDArray[np.bool])\n\nassert_type(i8 > i8, np.bool)\nassert_type(u8 > i8, np.bool)\nassert_type(i4 > i8, np.bool)\nassert_type(u4 > i8, np.bool)\nassert_type(b_ > i8, np.bool)\nassert_type(b > i8, np.bool)\nassert_type(c > i8, np.bool)\nassert_type(f > i8, np.bool)\nassert_type(i > i8, np.bool)\nassert_type(AR > i8, npt.NDArray[np.bool])\nassert_type(SEQ > i8, npt.NDArray[np.bool])\n\nassert_type(u8 > u8, np.bool)\nassert_type(i4 > u8, np.bool)\nassert_type(u4 > u8, np.bool)\nassert_type(b_ > u8, np.bool)\nassert_type(b > u8, np.bool)\nassert_type(c > u8, np.bool)\nassert_type(f > u8, np.bool)\nassert_type(i > u8, np.bool)\nassert_type(AR > u8, npt.NDArray[np.bool])\nassert_type(SEQ > u8, npt.NDArray[np.bool])\n\nassert_type(i4 > i8, np.bool)\nassert_type(i4 > i4, np.bool)\nassert_type(i4 > i, np.bool)\nassert_type(i4 > b_, np.bool)\nassert_type(i4 > b, np.bool)\nassert_type(i4 > AR, npt.NDArray[np.bool])\nassert_type(i4 > SEQ, npt.NDArray[np.bool])\n\nassert_type(u4 > i8, np.bool)\nassert_type(u4 > i4, np.bool)\nassert_type(u4 > u8, np.bool)\nassert_type(u4 > u4, np.bool)\nassert_type(u4 > i, np.bool)\nassert_type(u4 > b_, np.bool)\nassert_type(u4 > b, np.bool)\nassert_type(u4 > AR, npt.NDArray[np.bool])\nassert_type(u4 > SEQ, npt.NDArray[np.bool])\n\nassert_type(i8 > i4, np.bool)\nassert_type(i4 > i4, np.bool)\nassert_type(i > i4, np.bool)\nassert_type(b_ > i4, np.bool)\nassert_type(b > i4, np.bool)\nassert_type(AR > i4, npt.NDArray[np.bool])\nassert_type(SEQ > i4, npt.NDArray[np.bool])\n\nassert_type(i8 > u4, np.bool)\nassert_type(i4 > u4, np.bool)\nassert_type(u8 > u4, np.bool)\nassert_type(u4 > u4, np.bool)\nassert_type(b_ > u4, np.bool)\nassert_type(b > u4, np.bool)\nassert_type(i > u4, np.bool)\nassert_type(AR > u4, npt.NDArray[np.bool])\nassert_type(SEQ > u4, npt.NDArray[np.bool])\n | .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_, np.bool[Literal[False]])\n | .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: npt.NDArray[np.ulonglong]\nAR_byte: npt.NDArray[np.byte]\nAR_short: npt.NDArray[np.short]\nAR_intc: npt.NDArray[np.intc]\nAR_long: npt.NDArray[np.long]\nAR_longlong: npt.NDArray[np.longlong]\nAR_single: npt.NDArray[np.single]\nAR_double: npt.NDArray[np.double]\nAR_longdouble: npt.NDArray[np.longdouble]\nAR_void: npt.NDArray[np.void]\n\npointer: ct._Pointer[Any]\n\nassert_type(np.ctypeslib.c_intp(), ctypeslib.c_intp)\n\nassert_type(np.ctypeslib.ndpointer(), type[ctypeslib._ndptr[None]])\nassert_type(np.ctypeslib.ndpointer(dtype=np.float64), type[ctypeslib._ndptr[np.dtype[np.float64]]])\nassert_type(np.ctypeslib.ndpointer(dtype=float), type[ctypeslib._ndptr[np.dtype]])\nassert_type(np.ctypeslib.ndpointer(shape=(10, 3)), type[ctypeslib._ndptr[None]])\nassert_type(np.ctypeslib.ndpointer(np.int64, shape=(10, 3)), type[ctypeslib._concrete_ndptr[np.dtype[np.int64]]])\nassert_type(np.ctypeslib.ndpointer(int, shape=(1,)), type[np.ctypeslib._concrete_ndptr[np.dtype]])\n\nassert_type(np.ctypeslib.as_ctypes_type(np.bool), type[ct.c_bool])\nassert_type(np.ctypeslib.as_ctypes_type(np.ubyte), type[ct.c_ubyte])\nassert_type(np.ctypeslib.as_ctypes_type(np.ushort), type[ct.c_ushort])\nassert_type(np.ctypeslib.as_ctypes_type(np.uintc), type[ct.c_uint])\nassert_type(np.ctypeslib.as_ctypes_type(np.byte), type[ct.c_byte])\nassert_type(np.ctypeslib.as_ctypes_type(np.short), type[ct.c_short])\nassert_type(np.ctypeslib.as_ctypes_type(np.intc), type[ct.c_int])\nassert_type(np.ctypeslib.as_ctypes_type(np.single), type[ct.c_float])\nassert_type(np.ctypeslib.as_ctypes_type(np.double), type[ct.c_double])\nassert_type(np.ctypeslib.as_ctypes_type(ct.c_double), type[ct.c_double])\nassert_type(np.ctypeslib.as_ctypes_type("q"), type[ct.c_longlong])\nassert_type(np.ctypeslib.as_ctypes_type([("i8", np.int64), ("f8", np.float64)]), type[Any])\nassert_type(np.ctypeslib.as_ctypes_type("i8"), type[Any])\nassert_type(np.ctypeslib.as_ctypes_type("f8"), type[Any])\n\nassert_type(np.ctypeslib.as_ctypes(AR_bool.take(0)), ct.c_bool)\nassert_type(np.ctypeslib.as_ctypes(AR_ubyte.take(0)), ct.c_ubyte)\nassert_type(np.ctypeslib.as_ctypes(AR_ushort.take(0)), ct.c_ushort)\nassert_type(np.ctypeslib.as_ctypes(AR_uintc.take(0)), ct.c_uint)\n\nassert_type(np.ctypeslib.as_ctypes(AR_byte.take(0)), ct.c_byte)\nassert_type(np.ctypeslib.as_ctypes(AR_short.take(0)), ct.c_short)\nassert_type(np.ctypeslib.as_ctypes(AR_intc.take(0)), ct.c_int)\nassert_type(np.ctypeslib.as_ctypes(AR_single.take(0)), ct.c_float)\nassert_type(np.ctypeslib.as_ctypes(AR_double.take(0)), ct.c_double)\nassert_type(np.ctypeslib.as_ctypes(AR_void.take(0)), Any)\nassert_type(np.ctypeslib.as_ctypes(AR_bool), ct.Array[ct.c_bool])\nassert_type(np.ctypeslib.as_ctypes(AR_ubyte), ct.Array[ct.c_ubyte])\nassert_type(np.ctypeslib.as_ctypes(AR_ushort), ct.Array[ct.c_ushort])\nassert_type(np.ctypeslib.as_ctypes(AR_uintc), ct.Array[ct.c_uint])\nassert_type(np.ctypeslib.as_ctypes(AR_byte), ct.Array[ct.c_byte])\nassert_type(np.ctypeslib.as_ctypes(AR_short), ct.Array[ct.c_short])\nassert_type(np.ctypeslib.as_ctypes(AR_intc), ct.Array[ct.c_int])\nassert_type(np.ctypeslib.as_ctypes(AR_single), ct.Array[ct.c_float])\nassert_type(np.ctypeslib.as_ctypes(AR_double), ct.Array[ct.c_double])\nassert_type(np.ctypeslib.as_ctypes(AR_void), ct.Array[Any])\n\nassert_type(np.ctypeslib.as_array(AR_ubyte), npt.NDArray[np.ubyte])\nassert_type(np.ctypeslib.as_array(1), npt.NDArray[Any])\nassert_type(np.ctypeslib.as_array(pointer), npt.NDArray[Any])\n\nassert_type(np.ctypeslib.as_ctypes_type(np.long), type[ct.c_long])\nassert_type(np.ctypeslib.as_ctypes_type(np.ulong), type[ct.c_ulong])\nassert_type(np.ctypeslib.as_ctypes(AR_ulong), ct.Array[ct.c_ulong])\nassert_type(np.ctypeslib.as_ctypes(AR_long), ct.Array[ct.c_long])\nassert_type(np.ctypeslib.as_ctypes(AR_long.take(0)), ct.c_long)\nassert_type(np.ctypeslib.as_ctypes(AR_ulong.take(0)), ct.c_ulong)\n | .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.abspath("..."), str)\n\nassert_type(d1.exists("..."), bool)\nassert_type(d2.exists("..."), bool)\nassert_type(d3.exists("..."), bool)\n\nassert_type(d1.open("...", "r"), IO[Any])\nassert_type(d2.open("...", encoding="utf8"), IO[Any])\nassert_type(d3.open("...", newline="/n"), IO[Any])\n | .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_PyObjectLike: TypeAlias = Decimal | Fraction | dt.datetime | dt.timedelta\n\ndtype_U: np.dtype[np.str_]\ndtype_V: np.dtype[np.void]\ndtype_i8: np.dtype[np.int64]\n\npy_int_co: type[int]\npy_float_co: type[float]\npy_complex_co: type[complex]\npy_object: type[_PyObjectLike]\npy_character: type[str | bytes]\npy_flexible: type[str | bytes | memoryview]\n\nct_floating: type[ct.c_float | ct.c_double | ct.c_longdouble]\nct_number: type[ct.c_uint8 | ct.c_float]\nct_generic: type[ct.c_bool | ct.c_char]\n\ncs_integer: Literal["u1", "<i2", "L"]\ncs_number: Literal["=L", "i", "c16"]\ncs_flex: Literal[">V", "S"]\ncs_generic: Literal["H", "U", "h", "|M8[Y]", "?"]\n\ndt_inexact: np.dtype[np.inexact]\ndt_string: StringDType\n\nassert_type(np.dtype(np.float64), np.dtype[np.float64])\nassert_type(np.dtype(np.float64, metadata={"test": "test"}), np.dtype[np.float64])\nassert_type(np.dtype(np.int64), np.dtype[np.int64])\n\n# String aliases\nassert_type(np.dtype("float64"), np.dtype[np.float64])\nassert_type(np.dtype("float32"), np.dtype[np.float32])\nassert_type(np.dtype("int64"), np.dtype[np.int64])\nassert_type(np.dtype("int32"), np.dtype[np.int32])\nassert_type(np.dtype("bool"), np.dtype[np.bool])\nassert_type(np.dtype("bytes"), np.dtype[np.bytes_])\nassert_type(np.dtype("str"), np.dtype[np.str_])\n\n# Python types\nassert_type(np.dtype(bool), np.dtype[np.bool])\nassert_type(np.dtype(py_int_co), np.dtype[np.int_ | np.bool])\nassert_type(np.dtype(int), np.dtype[np.int_ | np.bool])\nassert_type(np.dtype(py_float_co), np.dtype[np.float64 | np.int_ | np.bool])\nassert_type(np.dtype(float), np.dtype[np.float64 | np.int_ | np.bool])\nassert_type(np.dtype(py_complex_co), np.dtype[np.complex128 | np.float64 | np.int_ | np.bool])\nassert_type(np.dtype(complex), np.dtype[np.complex128 | np.float64 | np.int_ | np.bool])\nassert_type(np.dtype(py_object), np.dtype[np.object_])\nassert_type(np.dtype(str), np.dtype[np.str_])\nassert_type(np.dtype(bytes), np.dtype[np.bytes_])\nassert_type(np.dtype(py_character), np.dtype[np.character])\nassert_type(np.dtype(memoryview), np.dtype[np.void])\nassert_type(np.dtype(py_flexible), np.dtype[np.flexible])\n\nassert_type(np.dtype(list), np.dtype[np.object_])\nassert_type(np.dtype(dt.datetime), np.dtype[np.object_])\nassert_type(np.dtype(dt.timedelta), np.dtype[np.object_])\nassert_type(np.dtype(Decimal), np.dtype[np.object_])\nassert_type(np.dtype(Fraction), np.dtype[np.object_])\n\n# char-codes\nassert_type(np.dtype("?"), np.dtype[np.bool])\nassert_type(np.dtype("|b1"), np.dtype[np.bool])\nassert_type(np.dtype("u1"), np.dtype[np.uint8])\nassert_type(np.dtype("l"), np.dtype[np.long])\nassert_type(np.dtype("longlong"), np.dtype[np.longlong])\nassert_type(np.dtype(">g"), np.dtype[np.longdouble])\nassert_type(np.dtype(cs_integer), np.dtype[np.integer])\nassert_type(np.dtype(cs_number), np.dtype[np.number])\nassert_type(np.dtype(cs_flex), np.dtype[np.flexible])\nassert_type(np.dtype(cs_generic), np.dtype[np.generic])\n\n# ctypes\nassert_type(np.dtype(ct.c_double), np.dtype[np.double])\nassert_type(np.dtype(ct.c_longlong), np.dtype[np.longlong])\nassert_type(np.dtype(ct.c_uint32), np.dtype[np.uint32])\nassert_type(np.dtype(ct.c_bool), np.dtype[np.bool])\nassert_type(np.dtype(ct.c_char), np.dtype[np.bytes_])\nassert_type(np.dtype(ct.py_object), np.dtype[np.object_])\n\n# Special case for None\nassert_type(np.dtype(None), np.dtype[np.float64])\n\n# Dypes of dtypes\nassert_type(np.dtype(np.dtype(np.float64)), np.dtype[np.float64])\nassert_type(np.dtype(dt_inexact), np.dtype[np.inexact])\n\n# Parameterized dtypes\nassert_type(np.dtype("S8"), np.dtype)\n\n# Void\nassert_type(np.dtype(("U", 10)), np.dtype[np.void])\n\n# StringDType\nassert_type(np.dtype(dt_string), StringDType)\nassert_type(np.dtype("T"), StringDType)\nassert_type(np.dtype("=T"), StringDType)\nassert_type(np.dtype("|T"), StringDType)\n\n# Methods and attributes\nassert_type(dtype_U.base, np.dtype)\nassert_type(dtype_U.subdtype, tuple[np.dtype, tuple[Any, ...]] | None)\nassert_type(dtype_U.newbyteorder(), np.dtype[np.str_])\nassert_type(dtype_U.type, type[np.str_])\nassert_type(dtype_U.name, LiteralString)\nassert_type(dtype_U.names, tuple[str, ...] | None)\n\nassert_type(dtype_U * 0, np.dtype[np.str_])\nassert_type(dtype_U * 1, np.dtype[np.str_])\nassert_type(dtype_U * 2, np.dtype[np.str_])\n\nassert_type(dtype_i8 * 0, np.dtype[np.void])\nassert_type(dtype_i8 * 1, np.dtype[np.int64])\nassert_type(dtype_i8 * 2, np.dtype[np.void])\n\nassert_type(0 * dtype_U, np.dtype[np.str_])\nassert_type(1 * dtype_U, np.dtype[np.str_])\nassert_type(2 * dtype_U, np.dtype[np.str_])\n\nassert_type(0 * dtype_i8, np.dtype)\nassert_type(1 * dtype_i8, np.dtype)\nassert_type(2 * dtype_i8, np.dtype)\n\nassert_type(dtype_V["f0"], np.dtype)\nassert_type(dtype_V[0], np.dtype)\nassert_type(dtype_V[["f0", "f1"]], np.dtype[np.void])\nassert_type(dtype_V[["f0"]], np.dtype[np.void])\n | .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.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b), Any)\nassert_type(np.einsum("i,i->i", AR_o, AR_o), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i), Any)\nassert_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c), Any)\n\nassert_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f), npt.NDArray[np.float64])\nassert_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f), npt.NDArray[np.float64])\nassert_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16"), Any)\nassert_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe"), Any)\n\nassert_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i), tuple[list[Any], str])\nassert_type(np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c), tuple[list[Any], str])\n\nassert_type(np.einsum([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i), Any)\nassert_type(np.einsum_path([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i), tuple[list[Any], str])\n | .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.complexfloating)\nassert_type(np.emath.sqrt(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.log(f8), Any)\nassert_type(np.emath.log(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.log(c16), np.complexfloating)\nassert_type(np.emath.log(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.log10(f8), Any)\nassert_type(np.emath.log10(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.log10(c16), np.complexfloating)\nassert_type(np.emath.log10(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.log2(f8), Any)\nassert_type(np.emath.log2(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.log2(c16), np.complexfloating)\nassert_type(np.emath.log2(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.logn(f8, 2), Any)\nassert_type(np.emath.logn(AR_f8, 4), npt.NDArray[Any])\nassert_type(np.emath.logn(f8, 1j), np.complexfloating)\nassert_type(np.emath.logn(AR_c16, 1.5), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.power(f8, 2), Any)\nassert_type(np.emath.power(AR_f8, 4), npt.NDArray[Any])\nassert_type(np.emath.power(f8, 2j), np.complexfloating)\nassert_type(np.emath.power(AR_c16, 1.5), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.arccos(f8), Any)\nassert_type(np.emath.arccos(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.arccos(c16), np.complexfloating)\nassert_type(np.emath.arccos(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.arcsin(f8), Any)\nassert_type(np.emath.arcsin(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.arcsin(c16), np.complexfloating)\nassert_type(np.emath.arcsin(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.emath.arctanh(f8), Any)\nassert_type(np.emath.arctanh(AR_f8), npt.NDArray[Any])\nassert_type(np.emath.arctanh(c16), np.complexfloating)\nassert_type(np.emath.arctanh(AR_c16), npt.NDArray[np.complexfloating])\n | .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\nassert_type(np.fft.ifftshift(AR_f8), npt.NDArray[np.float64])\nassert_type(np.fft.ifftshift(AR_LIKE_f8, axes=0), npt.NDArray[Any])\n\nassert_type(np.fft.fftfreq(5, AR_f8), npt.NDArray[np.floating])\nassert_type(np.fft.fftfreq(np.int64(), AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.fft.fftfreq(5, AR_f8), npt.NDArray[np.floating])\nassert_type(np.fft.fftfreq(np.int64(), AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.fft.fft(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.ifft(AR_f8, axis=1), npt.NDArray[np.complex128])\nassert_type(np.fft.rfft(AR_f8, n=None), npt.NDArray[np.complex128])\nassert_type(np.fft.irfft(AR_f8, norm="ortho"), npt.NDArray[np.float64])\nassert_type(np.fft.hfft(AR_f8, n=2), npt.NDArray[np.float64])\nassert_type(np.fft.ihfft(AR_f8), npt.NDArray[np.complex128])\n\nassert_type(np.fft.fftn(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.ifftn(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.rfftn(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.irfftn(AR_f8), npt.NDArray[np.float64])\n\nassert_type(np.fft.rfft2(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.ifft2(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.fft2(AR_f8), npt.NDArray[np.complex128])\nassert_type(np.fft.irfft2(AR_f8), npt.NDArray[np.float64])\n | .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_type(a.base, npt.NDArray[np.str_])\nassert_type(a.copy(), npt.NDArray[np.str_])\nassert_type(a.coords, tuple[int, ...])\nassert_type(a.index, int)\nassert_type(iter(a), np.flatiter[npt.NDArray[np.str_]])\nassert_type(next(a), np.str_)\nassert_type(a[0], np.str_)\nassert_type(a[[0, 1, 2]], npt.NDArray[np.str_])\nassert_type(a[...], npt.NDArray[np.str_])\nassert_type(a[:], npt.NDArray[np.str_])\nassert_type(a[(...,)], npt.NDArray[np.str_])\nassert_type(a[(0,)], np.str_)\n\nassert_type(a.__array__(), npt.NDArray[np.str_])\nassert_type(a.__array__(np.dtype(np.float64)), npt.NDArray[np.float64])\nassert_type(\n a_1d.__array__(),\n np.ndarray[tuple[int], np.dtype[np.bytes_]],\n)\nassert_type(\n a_1d.__array__(np.dtype(np.float64)),\n np.ndarray[tuple[int], np.dtype[np.float64]],\n)\nassert_type(\n a_1d_fixed.__array__(),\n np.ndarray[tuple[Size], np.dtype[np.object_]],\n)\nassert_type(\n a_1d_fixed.__array__(np.dtype(np.float64)),\n np.ndarray[tuple[Size], np.dtype[np.float64]],\n)\n\na[0] = "a"\na[:5] = "a"\na[...] = "a"\na[(...,)] = "a"\n | .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]\nAR_u8: npt.NDArray[np.uint64]\nAR_i8: npt.NDArray[np.int64]\nAR_O: npt.NDArray[np.object_]\nAR_subclass: NDArraySubclass\nAR_m: npt.NDArray[np.timedelta64]\nAR_0d: np.ndarray[tuple[()]]\nAR_1d: np.ndarray[tuple[int]]\nAR_nd: np.ndarray\n\nb: np.bool\nf4: np.float32\ni8: np.int64\nf: float\n\n# integer‑dtype subclass for argmin/argmax\nclass NDArrayIntSubclass(npt.NDArray[np.intp]): ...\nAR_sub_i: NDArrayIntSubclass\n\nassert_type(np.take(b, 0), np.bool)\nassert_type(np.take(f4, 0), np.float32)\nassert_type(np.take(f, 0), Any)\nassert_type(np.take(AR_b, 0), np.bool)\nassert_type(np.take(AR_f4, 0), np.float32)\nassert_type(np.take(AR_b, [0]), npt.NDArray[np.bool])\nassert_type(np.take(AR_f4, [0]), npt.NDArray[np.float32])\nassert_type(np.take([1], [0]), npt.NDArray[Any])\nassert_type(np.take(AR_f4, [0], out=AR_subclass), NDArraySubclass)\n\nassert_type(np.reshape(b, 1), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.reshape(f4, 1), np.ndarray[tuple[int], np.dtype[np.float32]])\nassert_type(np.reshape(f, 1), np.ndarray[tuple[int], np.dtype])\nassert_type(np.reshape(AR_b, 1), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.reshape(AR_f4, 1), np.ndarray[tuple[int], np.dtype[np.float32]])\n\nassert_type(np.choose(1, [True, True]), Any)\nassert_type(np.choose([1], [True, True]), npt.NDArray[Any])\nassert_type(np.choose([1], AR_b), npt.NDArray[np.bool])\nassert_type(np.choose([1], AR_b, out=AR_f4), npt.NDArray[np.float32])\n\nassert_type(np.repeat(b, 1), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.repeat(b, 1, axis=0), npt.NDArray[np.bool])\nassert_type(np.repeat(f4, 1), np.ndarray[tuple[int], np.dtype[np.float32]])\nassert_type(np.repeat(f, 1), np.ndarray[tuple[int], np.dtype[Any]])\nassert_type(np.repeat(AR_b, 1), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.repeat(AR_f4, 1), np.ndarray[tuple[int], np.dtype[np.float32]])\nassert_type(np.repeat(AR_f4, 1, axis=0), npt.NDArray[np.float32])\n\n# TODO: array_bdd tests for np.put()\n\nassert_type(np.swapaxes([[0, 1]], 0, 0), npt.NDArray[Any])\nassert_type(np.swapaxes(AR_b, 0, 0), npt.NDArray[np.bool])\nassert_type(np.swapaxes(AR_f4, 0, 0), npt.NDArray[np.float32])\n\nassert_type(np.transpose(b), npt.NDArray[np.bool])\nassert_type(np.transpose(f4), npt.NDArray[np.float32])\nassert_type(np.transpose(f), npt.NDArray[Any])\nassert_type(np.transpose(AR_b), npt.NDArray[np.bool])\nassert_type(np.transpose(AR_f4), npt.NDArray[np.float32])\n\nassert_type(np.partition(b, 0, axis=None), npt.NDArray[np.bool])\nassert_type(np.partition(f4, 0, axis=None), npt.NDArray[np.float32])\nassert_type(np.partition(f, 0, axis=None), npt.NDArray[Any])\nassert_type(np.partition(AR_b, 0), npt.NDArray[np.bool])\nassert_type(np.partition(AR_f4, 0), npt.NDArray[np.float32])\n\nassert_type(np.argpartition(b, 0), npt.NDArray[np.intp])\nassert_type(np.argpartition(f4, 0), npt.NDArray[np.intp])\nassert_type(np.argpartition(f, 0), npt.NDArray[np.intp])\nassert_type(np.argpartition(AR_b, 0), npt.NDArray[np.intp])\nassert_type(np.argpartition(AR_f4, 0), npt.NDArray[np.intp])\n\nassert_type(np.sort([2, 1], 0), npt.NDArray[Any])\nassert_type(np.sort(AR_b, 0), npt.NDArray[np.bool])\nassert_type(np.sort(AR_f4, 0), npt.NDArray[np.float32])\n\nassert_type(np.argsort(AR_b, 0), npt.NDArray[np.intp])\nassert_type(np.argsort(AR_f4, 0), npt.NDArray[np.intp])\n\nassert_type(np.argmax(AR_b), np.intp)\nassert_type(np.argmax(AR_f4), np.intp)\nassert_type(np.argmax(AR_b, axis=0), Any)\nassert_type(np.argmax(AR_f4, axis=0), Any)\nassert_type(np.argmax(AR_f4, out=AR_sub_i), NDArrayIntSubclass)\n\nassert_type(np.argmin(AR_b), np.intp)\nassert_type(np.argmin(AR_f4), np.intp)\nassert_type(np.argmin(AR_b, axis=0), Any)\nassert_type(np.argmin(AR_f4, axis=0), Any)\nassert_type(np.argmin(AR_f4, out=AR_sub_i), NDArrayIntSubclass)\n\nassert_type(np.searchsorted(AR_b[0], 0), np.intp)\nassert_type(np.searchsorted(AR_f4[0], 0), np.intp)\nassert_type(np.searchsorted(AR_b[0], [0]), npt.NDArray[np.intp])\nassert_type(np.searchsorted(AR_f4[0], [0]), npt.NDArray[np.intp])\n\nassert_type(np.resize(b, (5, 5)), np.ndarray[tuple[int, int], np.dtype[np.bool]])\nassert_type(np.resize(f4, (5, 5)), np.ndarray[tuple[int, int], np.dtype[np.float32]])\nassert_type(np.resize(f, (5, 5)), np.ndarray[tuple[int, int], np.dtype])\nassert_type(np.resize(AR_b, (5, 5)), np.ndarray[tuple[int, int], np.dtype[np.bool]])\nassert_type(np.resize(AR_f4, (5, 5)), np.ndarray[tuple[int, int], np.dtype[np.float32]])\n\nassert_type(np.squeeze(b), np.bool)\nassert_type(np.squeeze(f4), np.float32)\nassert_type(np.squeeze(f), npt.NDArray[Any])\nassert_type(np.squeeze(AR_b), npt.NDArray[np.bool])\nassert_type(np.squeeze(AR_f4), npt.NDArray[np.float32])\n\nassert_type(np.diagonal(AR_b), npt.NDArray[np.bool])\nassert_type(np.diagonal(AR_f4), npt.NDArray[np.float32])\n\nassert_type(np.trace(AR_b), Any)\nassert_type(np.trace(AR_f4), Any)\nassert_type(np.trace(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.ravel(b), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.ravel(f4), np.ndarray[tuple[int], np.dtype[np.float32]])\nassert_type(np.ravel(f), np.ndarray[tuple[int], np.dtype[np.float64 | np.int_ | np.bool]])\nassert_type(np.ravel(AR_b), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(np.ravel(AR_f4), np.ndarray[tuple[int], np.dtype[np.float32]])\n\nassert_type(np.nonzero(AR_b), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.nonzero(AR_f4), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.nonzero(AR_1d), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.nonzero(AR_nd), tuple[npt.NDArray[np.intp], ...])\n\nassert_type(np.shape(b), tuple[()])\nassert_type(np.shape(f), tuple[()])\nassert_type(np.shape([1]), tuple[int])\nassert_type(np.shape([[2]]), tuple[int, int])\nassert_type(np.shape([[[3]]]), tuple[Any, ...])\nassert_type(np.shape(AR_b), tuple[Any, ...])\nassert_type(np.shape(AR_nd), tuple[Any, ...])\n# these fail on mypy, but it works as expected with pyright/pylance\n# assert_type(np.shape(AR_0d), tuple[()])\n# assert_type(np.shape(AR_1d), tuple[int])\n# assert_type(np.shape(AR_2d), tuple[int, int])\n\nassert_type(np.compress([True], b), npt.NDArray[np.bool])\nassert_type(np.compress([True], f4), npt.NDArray[np.float32])\nassert_type(np.compress([True], f), npt.NDArray[Any])\nassert_type(np.compress([True], AR_b), npt.NDArray[np.bool])\nassert_type(np.compress([True], AR_f4), npt.NDArray[np.float32])\n\nassert_type(np.clip(b, 0, 1.0), np.bool)\nassert_type(np.clip(f4, -1, 1), np.float32)\nassert_type(np.clip(f, 0, 1), Any)\nassert_type(np.clip(AR_b, 0, 1), npt.NDArray[np.bool])\nassert_type(np.clip(AR_f4, 0, 1), npt.NDArray[np.float32])\nassert_type(np.clip([0], 0, 1), npt.NDArray[Any])\nassert_type(np.clip(AR_b, 0, 1, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.sum(b), np.bool)\nassert_type(np.sum(f4), np.float32)\nassert_type(np.sum(f), Any)\nassert_type(np.sum(AR_b), np.bool)\nassert_type(np.sum(AR_f4), np.float32)\nassert_type(np.sum(AR_b, axis=0), Any)\nassert_type(np.sum(AR_f4, axis=0), Any)\nassert_type(np.sum(AR_f4, out=AR_subclass), NDArraySubclass)\nassert_type(np.sum(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.sum(AR_f4, None, np.float64), np.float64)\nassert_type(np.sum(AR_f4, dtype=np.float64, keepdims=False), np.float64)\nassert_type(np.sum(AR_f4, None, np.float64, keepdims=False), np.float64)\nassert_type(np.sum(AR_f4, dtype=np.float64, keepdims=True), np.float64 | npt.NDArray[np.float64])\nassert_type(np.sum(AR_f4, None, np.float64, keepdims=True), np.float64 | npt.NDArray[np.float64])\n\nassert_type(np.all(b), np.bool)\nassert_type(np.all(f4), np.bool)\nassert_type(np.all(f), np.bool)\nassert_type(np.all(AR_b), np.bool)\nassert_type(np.all(AR_f4), np.bool)\nassert_type(np.all(AR_b, axis=0), Any)\nassert_type(np.all(AR_f4, axis=0), Any)\nassert_type(np.all(AR_b, keepdims=True), Any)\nassert_type(np.all(AR_f4, keepdims=True), Any)\nassert_type(np.all(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.any(b), np.bool)\nassert_type(np.any(f4), np.bool)\nassert_type(np.any(f), np.bool)\nassert_type(np.any(AR_b), np.bool)\nassert_type(np.any(AR_f4), np.bool)\nassert_type(np.any(AR_b, axis=0), Any)\nassert_type(np.any(AR_f4, axis=0), Any)\nassert_type(np.any(AR_b, keepdims=True), Any)\nassert_type(np.any(AR_f4, keepdims=True), Any)\nassert_type(np.any(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.cumsum(b), npt.NDArray[np.bool])\nassert_type(np.cumsum(f4), npt.NDArray[np.float32])\nassert_type(np.cumsum(f), npt.NDArray[Any])\nassert_type(np.cumsum(AR_b), npt.NDArray[np.bool])\nassert_type(np.cumsum(AR_f4), npt.NDArray[np.float32])\nassert_type(np.cumsum(f, dtype=float), npt.NDArray[Any])\nassert_type(np.cumsum(f, dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.cumsum(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.cumulative_sum(b), npt.NDArray[np.bool])\nassert_type(np.cumulative_sum(f4), npt.NDArray[np.float32])\nassert_type(np.cumulative_sum(f), npt.NDArray[Any])\nassert_type(np.cumulative_sum(AR_b), npt.NDArray[np.bool])\nassert_type(np.cumulative_sum(AR_f4), npt.NDArray[np.float32])\nassert_type(np.cumulative_sum(f, dtype=float), npt.NDArray[Any])\nassert_type(np.cumulative_sum(f, dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.cumulative_sum(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.ptp(b), np.bool)\nassert_type(np.ptp(f4), np.float32)\nassert_type(np.ptp(f), Any)\nassert_type(np.ptp(AR_b), np.bool)\nassert_type(np.ptp(AR_f4), np.float32)\nassert_type(np.ptp(AR_b, axis=0), Any)\nassert_type(np.ptp(AR_f4, axis=0), Any)\nassert_type(np.ptp(AR_b, keepdims=True), Any)\nassert_type(np.ptp(AR_f4, keepdims=True), Any)\nassert_type(np.ptp(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.amax(b), np.bool)\nassert_type(np.amax(f4), np.float32)\nassert_type(np.amax(f), Any)\nassert_type(np.amax(AR_b), np.bool)\nassert_type(np.amax(AR_f4), np.float32)\nassert_type(np.amax(AR_b, axis=0), Any)\nassert_type(np.amax(AR_f4, axis=0), Any)\nassert_type(np.amax(AR_b, keepdims=True), Any)\nassert_type(np.amax(AR_f4, keepdims=True), Any)\nassert_type(np.amax(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.amin(b), np.bool)\nassert_type(np.amin(f4), np.float32)\nassert_type(np.amin(f), Any)\nassert_type(np.amin(AR_b), np.bool)\nassert_type(np.amin(AR_f4), np.float32)\nassert_type(np.amin(AR_b, axis=0), Any)\nassert_type(np.amin(AR_f4, axis=0), Any)\nassert_type(np.amin(AR_b, keepdims=True), Any)\nassert_type(np.amin(AR_f4, keepdims=True), Any)\nassert_type(np.amin(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.prod(AR_b), np.int_)\nassert_type(np.prod(AR_u8), np.uint64)\nassert_type(np.prod(AR_i8), np.int64)\nassert_type(np.prod(AR_f4), np.floating)\nassert_type(np.prod(AR_c16), np.complexfloating)\nassert_type(np.prod(AR_O), Any)\nassert_type(np.prod(AR_f4, axis=0), Any)\nassert_type(np.prod(AR_f4, keepdims=True), Any)\nassert_type(np.prod(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.prod(AR_f4, dtype=float), Any)\nassert_type(np.prod(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.cumprod(AR_b), npt.NDArray[np.int_])\nassert_type(np.cumprod(AR_u8), npt.NDArray[np.uint64])\nassert_type(np.cumprod(AR_i8), npt.NDArray[np.int64])\nassert_type(np.cumprod(AR_f4), npt.NDArray[np.floating])\nassert_type(np.cumprod(AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.cumprod(AR_O), npt.NDArray[np.object_])\nassert_type(np.cumprod(AR_f4, axis=0), npt.NDArray[np.floating])\nassert_type(np.cumprod(AR_f4, dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.cumprod(AR_f4, dtype=float), npt.NDArray[Any])\nassert_type(np.cumprod(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.cumulative_prod(AR_b), npt.NDArray[np.int_])\nassert_type(np.cumulative_prod(AR_u8), npt.NDArray[np.uint64])\nassert_type(np.cumulative_prod(AR_i8), npt.NDArray[np.int64])\nassert_type(np.cumulative_prod(AR_f4), npt.NDArray[np.floating])\nassert_type(np.cumulative_prod(AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.cumulative_prod(AR_O), npt.NDArray[np.object_])\nassert_type(np.cumulative_prod(AR_f4, axis=0), npt.NDArray[np.floating])\nassert_type(np.cumulative_prod(AR_f4, dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.cumulative_prod(AR_f4, dtype=float), npt.NDArray[Any])\nassert_type(np.cumulative_prod(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.ndim(b), int)\nassert_type(np.ndim(f4), int)\nassert_type(np.ndim(f), int)\nassert_type(np.ndim(AR_b), int)\nassert_type(np.ndim(AR_f4), int)\n\nassert_type(np.size(b), int)\nassert_type(np.size(f4), int)\nassert_type(np.size(f), int)\nassert_type(np.size(AR_b), int)\nassert_type(np.size(AR_f4), int)\n\nassert_type(np.around(b), np.float16)\nassert_type(np.around(f), Any)\nassert_type(np.around(i8), np.int64)\nassert_type(np.around(f4), np.float32)\nassert_type(np.around(AR_b), npt.NDArray[np.float16])\nassert_type(np.around(AR_i8), npt.NDArray[np.int64])\nassert_type(np.around(AR_f4), npt.NDArray[np.float32])\nassert_type(np.around([1.5]), npt.NDArray[Any])\nassert_type(np.around(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.mean(AR_b), np.floating)\nassert_type(np.mean(AR_i8), np.floating)\nassert_type(np.mean(AR_f4), np.floating)\nassert_type(np.mean(AR_m), np.timedelta64)\nassert_type(np.mean(AR_c16), np.complexfloating)\nassert_type(np.mean(AR_O), Any)\nassert_type(np.mean(AR_f4, axis=0), Any)\nassert_type(np.mean(AR_f4, keepdims=True), Any)\nassert_type(np.mean(AR_f4, dtype=float), Any)\nassert_type(np.mean(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.mean(AR_f4, out=AR_subclass), NDArraySubclass)\nassert_type(np.mean(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.mean(AR_f4, None, np.float64), np.float64)\nassert_type(np.mean(AR_f4, dtype=np.float64, keepdims=False), np.float64)\nassert_type(np.mean(AR_f4, None, np.float64, keepdims=False), np.float64)\nassert_type(np.mean(AR_f4, dtype=np.float64, keepdims=True), np.float64 | npt.NDArray[np.float64])\nassert_type(np.mean(AR_f4, None, np.float64, keepdims=True), np.float64 | npt.NDArray[np.float64])\n\nassert_type(np.std(AR_b), np.floating)\nassert_type(np.std(AR_i8), np.floating)\nassert_type(np.std(AR_f4), np.floating)\nassert_type(np.std(AR_c16), np.floating)\nassert_type(np.std(AR_O), Any)\nassert_type(np.std(AR_f4, axis=0), Any)\nassert_type(np.std(AR_f4, keepdims=True), Any)\nassert_type(np.std(AR_f4, dtype=float), Any)\nassert_type(np.std(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.std(AR_f4, out=AR_subclass), NDArraySubclass)\n\nassert_type(np.var(AR_b), np.floating)\nassert_type(np.var(AR_i8), np.floating)\nassert_type(np.var(AR_f4), np.floating)\nassert_type(np.var(AR_c16), np.floating)\nassert_type(np.var(AR_O), Any)\nassert_type(np.var(AR_f4, axis=0), Any)\nassert_type(np.var(AR_f4, keepdims=True), Any)\nassert_type(np.var(AR_f4, dtype=float), Any)\nassert_type(np.var(AR_f4, dtype=np.float64), np.float64)\nassert_type(np.var(AR_f4, out=AR_subclass), NDArraySubclass)\n | .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(np.finfo(f8), np.finfo[np.floating[_64Bit]])\nassert_type(np.finfo(c8), np.finfo[np.float32])\nassert_type(np.finfo('f2'), np.finfo[np.floating])\n\nassert_type(finfo_f8.dtype, np.dtype[np.float64])\nassert_type(finfo_f8.bits, int)\nassert_type(finfo_f8.eps, np.float64)\nassert_type(finfo_f8.epsneg, np.float64)\nassert_type(finfo_f8.iexp, int)\nassert_type(finfo_f8.machep, int)\nassert_type(finfo_f8.max, np.float64)\nassert_type(finfo_f8.maxexp, int)\nassert_type(finfo_f8.min, np.float64)\nassert_type(finfo_f8.minexp, int)\nassert_type(finfo_f8.negep, int)\nassert_type(finfo_f8.nexp, int)\nassert_type(finfo_f8.nmant, int)\nassert_type(finfo_f8.precision, int)\nassert_type(finfo_f8.resolution, np.float64)\nassert_type(finfo_f8.tiny, np.float64)\nassert_type(finfo_f8.smallest_normal, np.float64)\nassert_type(finfo_f8.smallest_subnormal, np.float64)\n\nassert_type(np.iinfo(i), np.iinfo[np.int_])\nassert_type(np.iinfo(i8), np.iinfo[np.int64])\nassert_type(np.iinfo(u4), np.iinfo[np.uint32])\nassert_type(np.iinfo('i2'), np.iinfo[Any])\n\nassert_type(iinfo_i8.dtype, np.dtype[np.int64])\nassert_type(iinfo_i8.kind, LiteralString)\nassert_type(iinfo_i8.bits, int)\nassert_type(iinfo_i8.key, LiteralString)\nassert_type(iinfo_i8.min, int)\nassert_type(iinfo_i8.max, int)\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])\nassert_type(np.histogram_bin_edges(AR_i8, bins="scott", weights=AR_f8), npt.NDArray[Any])\n\nassert_type(np.histogram(AR_i8, bins="auto"), tuple[npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.histogram(AR_i8, bins="rice", range=(0, 3)), tuple[npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.histogram(AR_i8, bins="scott", weights=AR_f8), tuple[npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.histogram(AR_f8, bins=1, density=True), tuple[npt.NDArray[Any], npt.NDArray[Any]])\n\nassert_type(np.histogramdd(AR_i8, bins=[1]),\n tuple[npt.NDArray[Any], tuple[npt.NDArray[Any], ...]])\nassert_type(np.histogramdd(AR_i8, range=[(0, 3)]),\n tuple[npt.NDArray[Any], tuple[npt.NDArray[Any], ...]])\nassert_type(np.histogramdd(AR_i8, weights=AR_f8),\n tuple[npt.NDArray[Any], tuple[npt.NDArray[Any], ...]])\nassert_type(np.histogramdd(AR_f8, density=True),\n tuple[npt.NDArray[Any], tuple[npt.NDArray[Any], ...]])\n | .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_type(np.ndenumerate(AR_i8), np.ndenumerate[np.int64])\nassert_type(np.ndenumerate(AR_LIKE_f), np.ndenumerate[np.float64])\nassert_type(np.ndenumerate(AR_LIKE_U), np.ndenumerate[np.str_])\nassert_type(np.ndenumerate(AR_LIKE_O), np.ndenumerate[Any])\n\nassert_type(next(np.ndenumerate(AR_i8)), tuple[tuple[Any, ...], np.int64])\nassert_type(next(np.ndenumerate(AR_LIKE_f)), tuple[tuple[Any, ...], np.float64])\nassert_type(next(np.ndenumerate(AR_LIKE_U)), tuple[tuple[Any, ...], np.str_])\nassert_type(next(np.ndenumerate(AR_LIKE_O)), tuple[tuple[Any, ...], Any])\n\nassert_type(iter(np.ndenumerate(AR_i8)), np.ndenumerate[np.int64])\nassert_type(iter(np.ndenumerate(AR_LIKE_f)), np.ndenumerate[np.float64])\nassert_type(iter(np.ndenumerate(AR_LIKE_U)), np.ndenumerate[np.str_])\nassert_type(iter(np.ndenumerate(AR_LIKE_O)), np.ndenumerate[Any])\n\nassert_type(np.ndindex(1, 2, 3), np.ndindex)\nassert_type(np.ndindex((1, 2, 3)), np.ndindex)\nassert_type(iter(np.ndindex(1, 2, 3)), np.ndindex)\nassert_type(next(np.ndindex(1, 2, 3)), tuple[Any, ...])\n\nassert_type(np.unravel_index([22, 41, 37], (7, 6)), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.unravel_index([31, 41, 13], (7, 6), order="F"), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.unravel_index(1621, (6, 7, 8, 9)), tuple[np.intp, ...])\n\nassert_type(np.ravel_multi_index([[1]], (7, 6)), npt.NDArray[np.intp])\nassert_type(np.ravel_multi_index(AR_LIKE_i, (7, 6)), np.intp)\nassert_type(np.ravel_multi_index(AR_LIKE_i, (7, 6), order="F"), np.intp)\nassert_type(np.ravel_multi_index(AR_LIKE_i, (4, 6), mode="clip"), np.intp)\nassert_type(np.ravel_multi_index(AR_LIKE_i, (4, 4), mode=("clip", "wrap")), np.intp)\nassert_type(np.ravel_multi_index((3, 1, 4, 1), (6, 7, 8, 9)), np.intp)\n\nassert_type(np.mgrid[1:1:2], npt.NDArray[Any])\nassert_type(np.mgrid[1:1:2, None:10], npt.NDArray[Any])\n\nassert_type(np.ogrid[1:1:2], tuple[npt.NDArray[Any], ...])\nassert_type(np.ogrid[1:1:2, None:10], tuple[npt.NDArray[Any], ...])\n\nassert_type(np.index_exp[0:1], tuple[slice[int, int, None]])\nassert_type(np.index_exp[0:1, None:3], tuple[slice[int, int, None], slice[None, int, None]])\nassert_type(np.index_exp[0, 0:1, ..., [0, 1, 3]], tuple[Literal[0], slice[int, int, None], EllipsisType, list[int]])\n\nassert_type(np.s_[0:1], slice[int, int, None])\nassert_type(np.s_[0:1, None:3], tuple[slice[int, int, None], slice[None, int, None]])\nassert_type(np.s_[0, 0:1, ..., [0, 1, 3]], tuple[Literal[0], slice[int, int, None], EllipsisType, list[int]])\n\nassert_type(np.ix_(AR_LIKE_b), tuple[npt.NDArray[np.bool], ...])\nassert_type(np.ix_(AR_LIKE_i, AR_LIKE_f), tuple[npt.NDArray[np.float64], ...])\nassert_type(np.ix_(AR_i8), tuple[npt.NDArray[np.int64], ...])\n\nassert_type(np.fill_diagonal(AR_i8, 5), None)\n\nassert_type(np.diag_indices(4), tuple[npt.NDArray[np.int_], ...])\nassert_type(np.diag_indices(2, 3), tuple[npt.NDArray[np.int_], ...])\n\nassert_type(np.diag_indices_from(AR_i8), tuple[npt.NDArray[np.int_], ...])\n | .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]\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nAR_m: npt.NDArray[np.timedelta64]\nAR_M: npt.NDArray[np.datetime64]\nAR_O: npt.NDArray[np.object_]\nAR_b: npt.NDArray[np.bool]\nAR_U: npt.NDArray[np.str_]\nCHAR_AR_U: np.char.chararray[tuple[Any, ...], np.dtype[np.str_]]\n\nAR_b_list: list[npt.NDArray[np.bool]]\n\ndef func(\n a: npt.NDArray[Any],\n posarg: bool = ...,\n /,\n arg: int = ...,\n *,\n kwarg: str = ...,\n) -> npt.NDArray[Any]: ...\n\nassert_type(vectorized_func.pyfunc, Callable[..., Any])\nassert_type(vectorized_func.cache, bool)\nassert_type(vectorized_func.signature, str | None)\nassert_type(vectorized_func.otypes, str | None)\nassert_type(vectorized_func.excluded, set[int | str])\nassert_type(vectorized_func.__doc__, str | None)\nassert_type(vectorized_func([1]), Any)\nassert_type(np.vectorize(int), np.vectorize)\nassert_type(\n np.vectorize(int, otypes="i", doc="doc", excluded=(), cache=True, signature=None),\n np.vectorize,\n)\n\nassert_type(np.rot90(AR_f8, k=2), npt.NDArray[np.float64])\nassert_type(np.rot90(AR_LIKE_f8, axes=(0, 1)), npt.NDArray[Any])\n\nassert_type(np.flip(f8), np.float64)\nassert_type(np.flip(1.0), Any)\nassert_type(np.flip(AR_f8, axis=(0, 1)), npt.NDArray[np.float64])\nassert_type(np.flip(AR_LIKE_f8, axis=0), npt.NDArray[Any])\n\nassert_type(np.iterable(1), bool)\nassert_type(np.iterable([1]), bool)\n\nassert_type(np.average(AR_f8), np.floating)\nassert_type(np.average(AR_f8, weights=AR_c16), np.complexfloating)\nassert_type(np.average(AR_O), Any)\nassert_type(np.average(AR_f8, returned=True), tuple[np.floating, np.floating])\nassert_type(np.average(AR_f8, weights=AR_c16, returned=True), tuple[np.complexfloating, np.complexfloating])\nassert_type(np.average(AR_O, returned=True), tuple[Any, Any])\nassert_type(np.average(AR_f8, axis=0), Any)\nassert_type(np.average(AR_f8, axis=0, returned=True), tuple[Any, Any])\n\nassert_type(np.asarray_chkfinite(AR_f8), npt.NDArray[np.float64])\nassert_type(np.asarray_chkfinite(AR_LIKE_f8), npt.NDArray[Any])\nassert_type(np.asarray_chkfinite(AR_f8, dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.asarray_chkfinite(AR_f8, dtype=float), npt.NDArray[Any])\n\nassert_type(np.piecewise(AR_f8, AR_b, [func]), npt.NDArray[np.float64])\nassert_type(np.piecewise(AR_f8, AR_b_list, [func]), npt.NDArray[np.float64])\nassert_type(np.piecewise(AR_f8, AR_b_list, [func], True, -1, kwarg=''), npt.NDArray[np.float64])\nassert_type(np.piecewise(AR_f8, AR_b_list, [func], True, arg=-1, kwarg=''), npt.NDArray[np.float64])\nassert_type(np.piecewise(AR_LIKE_f8, AR_b_list, [func]), npt.NDArray[Any])\n\nassert_type(np.select([AR_f8], [AR_f8]), npt.NDArray[Any])\n\nassert_type(np.copy(AR_LIKE_f8), npt.NDArray[Any])\nassert_type(np.copy(AR_U), npt.NDArray[np.str_])\nassert_type(np.copy(CHAR_AR_U), np.ndarray[Any, Any]) # pyright correctly infers `NDArray[str_]`\nassert_type(np.copy(CHAR_AR_U, "K", subok=True), np.char.chararray[tuple[Any, ...], np.dtype[np.str_]])\nassert_type(np.copy(CHAR_AR_U, subok=True), np.char.chararray[tuple[Any, ...], np.dtype[np.str_]])\n\nassert_type(np.gradient(AR_f8, axis=None), Any)\nassert_type(np.gradient(AR_LIKE_f8, edge_order=2), Any)\n\nassert_type(np.diff("bob", n=0), str)\nassert_type(np.diff(AR_f8, axis=0), npt.NDArray[Any])\nassert_type(np.diff(AR_LIKE_f8, prepend=1.5), npt.NDArray[Any])\n\nassert_type(np.interp(1, [1], AR_f8), np.float64)\nassert_type(np.interp(1, [1], [1]), np.float64)\nassert_type(np.interp(1, [1], AR_c16), np.complex128)\nassert_type(np.interp(1, [1], [1j]), np.complex128) # pyright correctly infers `complex128 | float64`\nassert_type(np.interp([1], [1], AR_f8), npt.NDArray[np.float64])\nassert_type(np.interp([1], [1], [1]), npt.NDArray[np.float64])\nassert_type(np.interp([1], [1], AR_c16), npt.NDArray[np.complex128])\nassert_type(np.interp([1], [1], [1j]), npt.NDArray[np.complex128]) # pyright correctly infers `NDArray[complex128 | float64]`\n\nassert_type(np.angle(f8), np.floating)\nassert_type(np.angle(AR_f8), npt.NDArray[np.floating])\nassert_type(np.angle(AR_c16, deg=True), npt.NDArray[np.floating])\nassert_type(np.angle(AR_O), npt.NDArray[np.object_])\n\nassert_type(np.unwrap(AR_f8), npt.NDArray[np.floating])\nassert_type(np.unwrap(AR_O), npt.NDArray[np.object_])\n\nassert_type(np.sort_complex(AR_f8), npt.NDArray[np.complexfloating])\n\nassert_type(np.trim_zeros(AR_f8), npt.NDArray[np.float64])\nassert_type(np.trim_zeros(AR_LIKE_f8), list[float])\n\nassert_type(np.extract(AR_i8, AR_f8), npt.NDArray[np.float64])\nassert_type(np.extract(AR_i8, AR_LIKE_f8), npt.NDArray[Any])\n\nassert_type(np.place(AR_f8, mask=AR_i8, vals=5.0), None)\n\nassert_type(np.cov(AR_f8, bias=True), npt.NDArray[np.floating])\nassert_type(np.cov(AR_f8, AR_c16, ddof=1), npt.NDArray[np.complexfloating])\nassert_type(np.cov(AR_f8, aweights=AR_f8, dtype=np.float32), npt.NDArray[np.float32])\nassert_type(np.cov(AR_f8, fweights=AR_f8, dtype=float), npt.NDArray[Any])\n\nassert_type(np.corrcoef(AR_f8, rowvar=True), npt.NDArray[np.floating])\nassert_type(np.corrcoef(AR_f8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.corrcoef(AR_f8, dtype=np.float32), npt.NDArray[np.float32])\nassert_type(np.corrcoef(AR_f8, dtype=float), npt.NDArray[Any])\n\nassert_type(np.blackman(5), npt.NDArray[np.floating])\nassert_type(np.bartlett(6), npt.NDArray[np.floating])\nassert_type(np.hanning(4.5), npt.NDArray[np.floating])\nassert_type(np.hamming(0), npt.NDArray[np.floating])\nassert_type(np.i0(AR_i8), npt.NDArray[np.floating])\nassert_type(np.kaiser(4, 5.9), npt.NDArray[np.floating])\n\nassert_type(np.sinc(1.0), np.floating)\nassert_type(np.sinc(1j), np.complexfloating)\nassert_type(np.sinc(AR_f8), npt.NDArray[np.floating])\nassert_type(np.sinc(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.median(AR_f8, keepdims=False), np.floating)\nassert_type(np.median(AR_c16, overwrite_input=True), np.complexfloating)\nassert_type(np.median(AR_m), np.timedelta64)\nassert_type(np.median(AR_O), Any)\nassert_type(np.median(AR_f8, keepdims=True), Any)\nassert_type(np.median(AR_c16, axis=0), Any)\nassert_type(np.median(AR_LIKE_f8, out=AR_c16), npt.NDArray[np.complex128])\n\nassert_type(np.percentile(AR_f8, 50), np.floating)\nassert_type(np.percentile(AR_c16, 50), np.complexfloating)\nassert_type(np.percentile(AR_m, 50), np.timedelta64)\nassert_type(np.percentile(AR_M, 50, overwrite_input=True), np.datetime64)\nassert_type(np.percentile(AR_O, 50), Any)\nassert_type(np.percentile(AR_f8, [50]), npt.NDArray[np.floating])\nassert_type(np.percentile(AR_c16, [50]), npt.NDArray[np.complexfloating])\nassert_type(np.percentile(AR_m, [50]), npt.NDArray[np.timedelta64])\nassert_type(np.percentile(AR_M, [50], method="nearest"), npt.NDArray[np.datetime64])\nassert_type(np.percentile(AR_O, [50]), npt.NDArray[np.object_])\nassert_type(np.percentile(AR_f8, [50], keepdims=True), Any)\nassert_type(np.percentile(AR_f8, [50], axis=[1]), Any)\nassert_type(np.percentile(AR_f8, [50], out=AR_c16), npt.NDArray[np.complex128])\n\nassert_type(np.quantile(AR_f8, 0.5), np.floating)\nassert_type(np.quantile(AR_c16, 0.5), np.complexfloating)\nassert_type(np.quantile(AR_m, 0.5), np.timedelta64)\nassert_type(np.quantile(AR_M, 0.5, overwrite_input=True), np.datetime64)\nassert_type(np.quantile(AR_O, 0.5), Any)\nassert_type(np.quantile(AR_f8, [0.5]), npt.NDArray[np.floating])\nassert_type(np.quantile(AR_c16, [0.5]), npt.NDArray[np.complexfloating])\nassert_type(np.quantile(AR_m, [0.5]), npt.NDArray[np.timedelta64])\nassert_type(np.quantile(AR_M, [0.5], method="nearest"), npt.NDArray[np.datetime64])\nassert_type(np.quantile(AR_O, [0.5]), npt.NDArray[np.object_])\nassert_type(np.quantile(AR_f8, [0.5], keepdims=True), Any)\nassert_type(np.quantile(AR_f8, [0.5], axis=[1]), Any)\nassert_type(np.quantile(AR_f8, [0.5], out=AR_c16), npt.NDArray[np.complex128])\n\nassert_type(np.trapezoid(AR_LIKE_f8), np.float64)\nassert_type(np.trapezoid(AR_LIKE_f8, AR_LIKE_f8), np.float64)\nassert_type(np.trapezoid(AR_LIKE_c16), np.complex128)\nassert_type(np.trapezoid(AR_LIKE_c16, AR_LIKE_f8), np.complex128)\nassert_type(np.trapezoid(AR_LIKE_f8, AR_LIKE_c16), np.complex128)\nassert_type(np.trapezoid(AR_LIKE_O), float)\nassert_type(np.trapezoid(AR_LIKE_O, AR_LIKE_f8), float)\nassert_type(np.trapezoid(AR_f8), np.float64 | npt.NDArray[np.float64])\nassert_type(np.trapezoid(AR_f8, AR_f8), np.float64 | npt.NDArray[np.float64])\nassert_type(np.trapezoid(AR_c16), np.complex128 | npt.NDArray[np.complex128])\nassert_type(np.trapezoid(AR_c16, AR_c16), np.complex128 | npt.NDArray[np.complex128])\nassert_type(np.trapezoid(AR_m), np.timedelta64 | npt.NDArray[np.timedelta64])\nassert_type(np.trapezoid(AR_O), float | npt.NDArray[np.object_])\nassert_type(np.trapezoid(AR_O, AR_LIKE_f8), float | npt.NDArray[np.object_])\n\nassert_type(np.meshgrid(), tuple[()])\nassert_type(np.meshgrid(AR_c16, indexing="ij"), tuple[npt.NDArray[np.complex128]])\nassert_type(np.meshgrid(AR_i8, AR_f8, copy=False), tuple[npt.NDArray[np.int64], npt.NDArray[np.float64]])\nassert_type(np.meshgrid(AR_LIKE_f8, AR_f8), tuple[npt.NDArray[Any], npt.NDArray[np.float64]])\nassert_type(np.meshgrid(AR_LIKE_f8, AR_i8, AR_c16), tuple[npt.NDArray[Any], npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.meshgrid(AR_f8, AR_f8, AR_f8, AR_f8), tuple[npt.NDArray[Any], npt.NDArray[Any], npt.NDArray[Any], npt.NDArray[Any]])\nassert_type(np.meshgrid(*AR_LIKE_f8), tuple[npt.NDArray[Any], ...])\n\nassert_type(np.delete(AR_f8, np.s_[:5]), npt.NDArray[np.float64])\nassert_type(np.delete(AR_LIKE_f8, [0, 4, 9], axis=0), npt.NDArray[Any])\n\nassert_type(np.insert(AR_f8, np.s_[:5], 5), npt.NDArray[np.float64])\nassert_type(np.insert(AR_LIKE_f8, [0, 4, 9], [0.5, 9.2, 7], axis=0), npt.NDArray[Any])\n\nassert_type(np.append(AR_f8, 5), npt.NDArray[Any])\nassert_type(np.append(AR_LIKE_f8, 1j, axis=0), npt.NDArray[Any])\n\nassert_type(np.digitize(4.5, [1]), np.intp)\nassert_type(np.digitize(AR_f8, [1, 2, 3]), npt.NDArray[np.intp])\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.object_]\n\npoly_obj: np.poly1d\n\nassert_type(poly_obj.variable, str)\nassert_type(poly_obj.order, int)\nassert_type(poly_obj.o, int)\nassert_type(poly_obj.roots, npt.NDArray[Any])\nassert_type(poly_obj.r, npt.NDArray[Any])\nassert_type(poly_obj.coeffs, npt.NDArray[Any])\nassert_type(poly_obj.c, npt.NDArray[Any])\nassert_type(poly_obj.coef, npt.NDArray[Any])\nassert_type(poly_obj.coefficients, npt.NDArray[Any])\nassert_type(poly_obj.__hash__, None)\n\nassert_type(poly_obj(1), Any)\nassert_type(poly_obj([1]), npt.NDArray[Any])\nassert_type(poly_obj(poly_obj), np.poly1d)\n\nassert_type(len(poly_obj), int)\nassert_type(-poly_obj, np.poly1d)\nassert_type(+poly_obj, np.poly1d)\n\nassert_type(poly_obj * 5, np.poly1d)\nassert_type(5 * poly_obj, np.poly1d)\nassert_type(poly_obj + 5, np.poly1d)\nassert_type(5 + poly_obj, np.poly1d)\nassert_type(poly_obj - 5, np.poly1d)\nassert_type(5 - poly_obj, np.poly1d)\nassert_type(poly_obj**1, np.poly1d)\nassert_type(poly_obj**1.0, np.poly1d)\nassert_type(poly_obj / 5, np.poly1d)\nassert_type(5 / poly_obj, np.poly1d)\n\nassert_type(poly_obj[0], Any)\npoly_obj[0] = 5\nassert_type(iter(poly_obj), Iterator[Any])\nassert_type(poly_obj.deriv(), np.poly1d)\nassert_type(poly_obj.integ(), np.poly1d)\n\nassert_type(np.poly(poly_obj), npt.NDArray[np.floating])\nassert_type(np.poly(AR_f8), npt.NDArray[np.floating])\nassert_type(np.poly(AR_c16), npt.NDArray[np.floating])\n\nassert_type(np.polyint(poly_obj), np.poly1d)\nassert_type(np.polyint(AR_f8), npt.NDArray[np.floating])\nassert_type(np.polyint(AR_f8, k=AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polyint(AR_O, m=2), npt.NDArray[np.object_])\n\nassert_type(np.polyder(poly_obj), np.poly1d)\nassert_type(np.polyder(AR_f8), npt.NDArray[np.floating])\nassert_type(np.polyder(AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polyder(AR_O, m=2), npt.NDArray[np.object_])\n\nassert_type(np.polyfit(AR_f8, AR_f8, 2), npt.NDArray[np.float64])\nassert_type(\n np.polyfit(AR_f8, AR_i8, 1, full=True),\n tuple[\n npt.NDArray[np.float64],\n npt.NDArray[np.float64],\n npt.NDArray[np.int32],\n npt.NDArray[np.float64],\n npt.NDArray[np.float64],\n ],\n)\nassert_type(\n np.polyfit(AR_u4, AR_f8, 1.0, cov="unscaled"),\n tuple[\n npt.NDArray[np.float64],\n npt.NDArray[np.float64],\n ],\n)\nassert_type(np.polyfit(AR_c16, AR_f8, 2), npt.NDArray[np.complex128])\nassert_type(\n np.polyfit(AR_f8, AR_c16, 1, full=True),\n tuple[\n npt.NDArray[np.complex128],\n npt.NDArray[np.float64],\n npt.NDArray[np.int32],\n npt.NDArray[np.float64],\n npt.NDArray[np.float64],\n ],\n)\nassert_type(\n np.polyfit(AR_u4, AR_c16, 1.0, cov=True),\n tuple[\n npt.NDArray[np.complex128],\n npt.NDArray[np.complex128],\n ],\n)\n\nassert_type(np.polyval(AR_b, AR_b), npt.NDArray[np.int64])\nassert_type(np.polyval(AR_u4, AR_b), npt.NDArray[np.unsignedinteger])\nassert_type(np.polyval(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.polyval(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(np.polyval(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polyval(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.polyadd(poly_obj, AR_i8), np.poly1d)\nassert_type(np.polyadd(AR_f8, poly_obj), np.poly1d)\nassert_type(np.polyadd(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.polyadd(AR_u4, AR_b), npt.NDArray[np.unsignedinteger])\nassert_type(np.polyadd(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.polyadd(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(np.polyadd(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polyadd(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.polysub(poly_obj, AR_i8), np.poly1d)\nassert_type(np.polysub(AR_f8, poly_obj), np.poly1d)\nassert_type(np.polysub(AR_b, AR_b), NoReturn)\nassert_type(np.polysub(AR_u4, AR_b), npt.NDArray[np.unsignedinteger])\nassert_type(np.polysub(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.polysub(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(np.polysub(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polysub(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.polymul(poly_obj, AR_i8), np.poly1d)\nassert_type(np.polymul(AR_f8, poly_obj), np.poly1d)\nassert_type(np.polymul(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.polymul(AR_u4, AR_b), npt.NDArray[np.unsignedinteger])\nassert_type(np.polymul(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.polymul(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(np.polymul(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.polymul(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.polydiv(poly_obj, AR_i8), tuple[np.poly1d, np.poly1d])\nassert_type(np.polydiv(AR_f8, poly_obj), tuple[np.poly1d, np.poly1d])\nassert_type(np.polydiv(AR_b, AR_b), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\nassert_type(np.polydiv(AR_u4, AR_b), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\nassert_type(np.polydiv(AR_i8, AR_i8), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\nassert_type(np.polydiv(AR_f8, AR_i8), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating]])\nassert_type(np.polydiv(AR_i8, AR_c16), tuple[npt.NDArray[np.complexfloating], npt.NDArray[np.complexfloating]])\nassert_type(np.polydiv(AR_O, AR_O), tuple[npt.NDArray[Any], npt.NDArray[Any]])\n | .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), tuple[int, int])\nassert_type(array_utils.byte_bounds(np.float64()), tuple[int, int])\n\nassert_type(np.info(1, output=FILE), None)\n | .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)\nassert_type(version.is_devversion, bool)\n\nassert_type(version == version, bool)\nassert_type(version != version, bool)\nassert_type(version < "1.8.0", bool)\nassert_type(version <= version, bool)\nassert_type(version > version, bool)\nassert_type(version >= "1.8.0", bool)\n | .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.NDArray[np.object_]\nAR_m: npt.NDArray[np.timedelta64]\nAR_S: npt.NDArray[np.str_]\nAR_b: npt.NDArray[np.bool]\n\nassert_type(np.linalg.tensorsolve(AR_i8, AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.tensorsolve(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.tensorsolve(AR_c16, AR_f8), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.solve(AR_i8, AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.solve(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.solve(AR_c16, AR_f8), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.tensorinv(AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.tensorinv(AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.tensorinv(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.inv(AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.inv(AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.inv(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.matrix_power(AR_i8, -1), npt.NDArray[Any])\nassert_type(np.linalg.matrix_power(AR_f8, 0), npt.NDArray[Any])\nassert_type(np.linalg.matrix_power(AR_c16, 1), npt.NDArray[Any])\nassert_type(np.linalg.matrix_power(AR_O, 2), npt.NDArray[Any])\n\nassert_type(np.linalg.cholesky(AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.cholesky(AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.cholesky(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.outer(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.linalg.outer(AR_f8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.outer(AR_c16, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.linalg.outer(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.linalg.outer(AR_O, AR_O), npt.NDArray[np.object_])\nassert_type(np.linalg.outer(AR_i8, AR_m), npt.NDArray[np.timedelta64])\n\nassert_type(np.linalg.qr(AR_i8), QRResult)\nassert_type(np.linalg.qr(AR_f8), QRResult)\nassert_type(np.linalg.qr(AR_c16), QRResult)\n\nassert_type(np.linalg.eigvals(AR_i8), npt.NDArray[np.float64] | npt.NDArray[np.complex128])\nassert_type(np.linalg.eigvals(AR_f8), npt.NDArray[np.floating] | npt.NDArray[np.complexfloating])\nassert_type(np.linalg.eigvals(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.eigvalsh(AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.eigvalsh(AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.eigvalsh(AR_c16), npt.NDArray[np.floating])\n\nassert_type(np.linalg.eig(AR_i8), EigResult)\nassert_type(np.linalg.eig(AR_f8), EigResult)\nassert_type(np.linalg.eig(AR_c16), EigResult)\n\nassert_type(np.linalg.eigh(AR_i8), EighResult)\nassert_type(np.linalg.eigh(AR_f8), EighResult)\nassert_type(np.linalg.eigh(AR_c16), EighResult)\n\nassert_type(np.linalg.svd(AR_i8), SVDResult)\nassert_type(np.linalg.svd(AR_f8), SVDResult)\nassert_type(np.linalg.svd(AR_c16), SVDResult)\nassert_type(np.linalg.svd(AR_i8, compute_uv=False), npt.NDArray[np.float64])\nassert_type(np.linalg.svd(AR_f8, compute_uv=False), npt.NDArray[np.floating])\nassert_type(np.linalg.svd(AR_c16, compute_uv=False), npt.NDArray[np.floating])\n\nassert_type(np.linalg.cond(AR_i8), Any)\nassert_type(np.linalg.cond(AR_f8), Any)\nassert_type(np.linalg.cond(AR_c16), Any)\n\nassert_type(np.linalg.matrix_rank(AR_i8), Any)\nassert_type(np.linalg.matrix_rank(AR_f8), Any)\nassert_type(np.linalg.matrix_rank(AR_c16), Any)\n\nassert_type(np.linalg.pinv(AR_i8), npt.NDArray[np.float64])\nassert_type(np.linalg.pinv(AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.pinv(AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.slogdet(AR_i8), SlogdetResult)\nassert_type(np.linalg.slogdet(AR_f8), SlogdetResult)\nassert_type(np.linalg.slogdet(AR_c16), SlogdetResult)\n\nassert_type(np.linalg.det(AR_i8), Any)\nassert_type(np.linalg.det(AR_f8), Any)\nassert_type(np.linalg.det(AR_c16), Any)\n\nassert_type(np.linalg.lstsq(AR_i8, AR_i8), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64], np.int32, npt.NDArray[np.float64]])\nassert_type(np.linalg.lstsq(AR_i8, AR_f8), tuple[npt.NDArray[np.floating], npt.NDArray[np.floating], np.int32, npt.NDArray[np.floating]])\nassert_type(np.linalg.lstsq(AR_f8, AR_c16), tuple[npt.NDArray[np.complexfloating], npt.NDArray[np.floating], np.int32, npt.NDArray[np.floating]])\n\nassert_type(np.linalg.norm(AR_i8), np.floating)\nassert_type(np.linalg.norm(AR_f8), np.floating)\nassert_type(np.linalg.norm(AR_c16), np.floating)\nassert_type(np.linalg.norm(AR_S), np.floating)\nassert_type(np.linalg.norm(AR_f8, axis=0), Any)\n\nassert_type(np.linalg.matrix_norm(AR_i8), np.floating)\nassert_type(np.linalg.matrix_norm(AR_f8), np.floating)\nassert_type(np.linalg.matrix_norm(AR_c16), np.floating)\nassert_type(np.linalg.matrix_norm(AR_S), np.floating)\n\nassert_type(np.linalg.vector_norm(AR_i8), np.floating)\nassert_type(np.linalg.vector_norm(AR_f8), np.floating)\nassert_type(np.linalg.vector_norm(AR_c16), np.floating)\nassert_type(np.linalg.vector_norm(AR_S), np.floating)\n\nassert_type(np.linalg.multi_dot([AR_i8, AR_i8]), Any)\nassert_type(np.linalg.multi_dot([AR_i8, AR_f8]), Any)\nassert_type(np.linalg.multi_dot([AR_f8, AR_c16]), Any)\nassert_type(np.linalg.multi_dot([AR_O, AR_O]), Any)\nassert_type(np.linalg.multi_dot([AR_m, AR_m]), Any)\n\nassert_type(np.linalg.cross(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.linalg.cross(AR_f8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.cross(AR_c16, AR_c16), npt.NDArray[np.complexfloating])\n\nassert_type(np.linalg.matmul(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.linalg.matmul(AR_f8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.linalg.matmul(AR_c16, AR_c16), npt.NDArray[np.complexfloating])\n | .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.ndarray[tuple[int], np.dtype[_ScalarT]]\n\nclass MaskedArraySubclass(MaskedArray[np.complex128]): ...\n\nAR_b: NDArray[np.bool]\nAR_f4: NDArray[np.float32]\nAR_dt64: NDArray[np.datetime64]\nAR_td64: NDArray[np.timedelta64]\nAR_o: NDArray[np.timedelta64]\n\nMAR_c16: MaskedArray[np.complex128]\nMAR_b: MaskedArray[np.bool]\nMAR_f4: MaskedArray[np.float32]\nMAR_f8: MaskedArray[np.float64]\nMAR_i8: MaskedArray[np.int64]\nMAR_dt64: MaskedArray[np.datetime64]\nMAR_td64: MaskedArray[np.timedelta64]\nMAR_o: MaskedArray[np.object_]\nMAR_s: MaskedArray[np.str_]\nMAR_byte: MaskedArray[np.bytes_]\nMAR_V: MaskedArray[np.void]\n\nMAR_subclass: MaskedArraySubclass\n\nMAR_1d: np.ma.MaskedArray[tuple[int], np.dtype]\nMAR_2d_f4: np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]]\n\nb: np.bool\nf4: np.float32\nf: float\n\nassert_type(MAR_1d.shape, tuple[int])\n\nassert_type(MAR_f4.dtype, np.dtype[np.float32])\n\nassert_type(int(MAR_i8), int)\nassert_type(float(MAR_f4), float)\n\nassert_type(np.ma.min(MAR_b), np.bool)\nassert_type(np.ma.min(MAR_f4), np.float32)\nassert_type(np.ma.min(MAR_b, axis=0), Any)\nassert_type(np.ma.min(MAR_f4, axis=0), Any)\nassert_type(np.ma.min(MAR_b, keepdims=True), Any)\nassert_type(np.ma.min(MAR_f4, keepdims=True), Any)\nassert_type(np.ma.min(MAR_f4, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.min(MAR_f4, 0, MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.min(MAR_f4, None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.min(), np.bool)\nassert_type(MAR_f4.min(), np.float32)\nassert_type(MAR_b.min(axis=0), Any)\nassert_type(MAR_f4.min(axis=0), Any)\nassert_type(MAR_b.min(keepdims=True), Any)\nassert_type(MAR_f4.min(keepdims=True), Any)\nassert_type(MAR_f4.min(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.min(0, MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.min(None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(np.ma.max(MAR_b), np.bool)\nassert_type(np.ma.max(MAR_f4), np.float32)\nassert_type(np.ma.max(MAR_b, axis=0), Any)\nassert_type(np.ma.max(MAR_f4, axis=0), Any)\nassert_type(np.ma.max(MAR_b, keepdims=True), Any)\nassert_type(np.ma.max(MAR_f4, keepdims=True), Any)\nassert_type(np.ma.max(MAR_f4, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.max(MAR_f4, 0, MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.max(MAR_f4, None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.max(), np.bool)\nassert_type(MAR_f4.max(), np.float32)\nassert_type(MAR_b.max(axis=0), Any)\nassert_type(MAR_f4.max(axis=0), Any)\nassert_type(MAR_b.max(keepdims=True), Any)\nassert_type(MAR_f4.max(keepdims=True), Any)\nassert_type(MAR_f4.max(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.max(0, MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.max(None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(np.ma.ptp(MAR_b), np.bool)\nassert_type(np.ma.ptp(MAR_f4), np.float32)\nassert_type(np.ma.ptp(MAR_b, axis=0), Any)\nassert_type(np.ma.ptp(MAR_f4, axis=0), Any)\nassert_type(np.ma.ptp(MAR_b, keepdims=True), Any)\nassert_type(np.ma.ptp(MAR_f4, keepdims=True), Any)\nassert_type(np.ma.ptp(MAR_f4, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.ptp(MAR_f4, 0, MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.ptp(MAR_f4, None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.ptp(), np.bool)\nassert_type(MAR_f4.ptp(), np.float32)\nassert_type(MAR_b.ptp(axis=0), Any)\nassert_type(MAR_f4.ptp(axis=0), Any)\nassert_type(MAR_b.ptp(keepdims=True), Any)\nassert_type(MAR_f4.ptp(keepdims=True), Any)\nassert_type(MAR_f4.ptp(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.ptp(0, MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.ptp(None, MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.argmin(), np.intp)\nassert_type(MAR_f4.argmin(), np.intp)\nassert_type(MAR_f4.argmax(fill_value=6.28318, keepdims=False), np.intp)\nassert_type(MAR_b.argmin(axis=0), Any)\nassert_type(MAR_f4.argmin(axis=0), Any)\nassert_type(MAR_b.argmin(keepdims=True), Any)\nassert_type(MAR_f4.argmin(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.argmin(None, None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(np.ma.argmin(MAR_b), np.intp)\nassert_type(np.ma.argmin(MAR_f4), np.intp)\nassert_type(np.ma.argmin(MAR_f4, fill_value=6.28318, keepdims=False), np.intp)\nassert_type(np.ma.argmin(MAR_b, axis=0), Any)\nassert_type(np.ma.argmin(MAR_f4, axis=0), Any)\nassert_type(np.ma.argmin(MAR_b, keepdims=True), Any)\nassert_type(np.ma.argmin(MAR_f4, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.argmin(MAR_f4, None, None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.argmax(), np.intp)\nassert_type(MAR_f4.argmax(), np.intp)\nassert_type(MAR_f4.argmax(fill_value=6.28318, keepdims=False), np.intp)\nassert_type(MAR_b.argmax(axis=0), Any)\nassert_type(MAR_f4.argmax(axis=0), Any)\nassert_type(MAR_b.argmax(keepdims=True), Any)\nassert_type(MAR_f4.argmax(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.argmax(None, None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(np.ma.argmax(MAR_b), np.intp)\nassert_type(np.ma.argmax(MAR_f4), np.intp)\nassert_type(np.ma.argmax(MAR_f4, fill_value=6.28318, keepdims=False), np.intp)\nassert_type(np.ma.argmax(MAR_b, axis=0), Any)\nassert_type(np.ma.argmax(MAR_f4, axis=0), Any)\nassert_type(np.ma.argmax(MAR_b, keepdims=True), Any)\nassert_type(np.ma.argmax(MAR_f4, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.argmax(MAR_f4, None, None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.all(), np.bool)\nassert_type(MAR_f4.all(), np.bool)\nassert_type(MAR_f4.all(keepdims=False), np.bool)\nassert_type(MAR_b.all(axis=0), np.bool | MaskedArray[np.bool])\nassert_type(MAR_b.all(axis=0, keepdims=True), MaskedArray[np.bool])\nassert_type(MAR_b.all(0, None, True), MaskedArray[np.bool])\nassert_type(MAR_f4.all(axis=0), np.bool | MaskedArray[np.bool])\nassert_type(MAR_b.all(keepdims=True), MaskedArray[np.bool])\nassert_type(MAR_f4.all(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.all(None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_b.any(), np.bool)\nassert_type(MAR_f4.any(), np.bool)\nassert_type(MAR_f4.any(keepdims=False), np.bool)\nassert_type(MAR_b.any(axis=0), np.bool | MaskedArray[np.bool])\nassert_type(MAR_b.any(axis=0, keepdims=True), MaskedArray[np.bool])\nassert_type(MAR_b.any(0, None, True), MaskedArray[np.bool])\nassert_type(MAR_f4.any(axis=0), np.bool | MaskedArray[np.bool])\nassert_type(MAR_b.any(keepdims=True), MaskedArray[np.bool])\nassert_type(MAR_f4.any(out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f4.any(None, out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(MAR_f4.sort(), None)\nassert_type(MAR_f4.sort(axis=0, kind='quicksort', order='K', endwith=False, fill_value=42., stable=False), None)\n\nassert_type(np.ma.sort(MAR_f4), MaskedArray[np.float32])\nassert_type(np.ma.sort(MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.sort([[0, 1], [2, 3]]), NDArray[Any])\nassert_type(np.ma.sort(AR_f4), NDArray[np.float32])\n\nassert_type(MAR_f8.take(0), np.float64)\nassert_type(MAR_1d.take(0), Any)\nassert_type(MAR_f8.take([0]), MaskedArray[np.float64])\nassert_type(MAR_f8.take(0, out=MAR_subclass), MaskedArraySubclass)\nassert_type(MAR_f8.take([0], out=MAR_subclass), MaskedArraySubclass)\n\nassert_type(np.ma.take(f, 0), Any)\nassert_type(np.ma.take(f4, 0), np.float32)\nassert_type(np.ma.take(MAR_f8, 0), np.float64)\nassert_type(np.ma.take(AR_f4, 0), np.float32)\nassert_type(np.ma.take(MAR_1d, 0), Any)\nassert_type(np.ma.take(MAR_f8, [0]), MaskedArray[np.float64])\nassert_type(np.ma.take(AR_f4, [0]), MaskedArray[np.float32])\nassert_type(np.ma.take(MAR_f8, 0, out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.take(MAR_f8, [0], out=MAR_subclass), MaskedArraySubclass)\nassert_type(np.ma.take([1], [0]), MaskedArray[Any])\nassert_type(np.ma.take(np.eye(2), 1, axis=0), MaskedArray[np.float64])\n\nassert_type(MAR_f4.partition(1), None)\nassert_type(MAR_V.partition(1, axis=0, kind='introselect', order='K'), None)\n\nassert_type(MAR_f4.argpartition(1), MaskedArray[np.intp])\nassert_type(MAR_1d.argpartition(1, axis=0, kind='introselect', order='K'), MaskedArray[np.intp])\n\nassert_type(np.ma.ndim(f4), int)\nassert_type(np.ma.ndim(MAR_b), int)\nassert_type(np.ma.ndim(AR_f4), int)\n\nassert_type(np.ma.size(b), int)\nassert_type(np.ma.size(MAR_f4, axis=0), int)\nassert_type(np.ma.size(AR_f4), int)\n\nassert_type(np.ma.is_masked(MAR_f4), bool)\n\nassert_type(MAR_f4.ids(), tuple[int, int])\n\nassert_type(MAR_f4.iscontiguous(), bool)\n\nassert_type(MAR_f4 >= 3, MaskedArray[np.bool])\nassert_type(MAR_i8 >= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_b >= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_td64 >= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_dt64 >= AR_dt64, MaskedArray[np.bool])\nassert_type(MAR_o >= AR_o, MaskedArray[np.bool])\nassert_type(MAR_1d >= 0, MaskedArray[np.bool])\nassert_type(MAR_s >= MAR_s, MaskedArray[np.bool])\nassert_type(MAR_byte >= MAR_byte, MaskedArray[np.bool])\n\nassert_type(MAR_f4 > 3, MaskedArray[np.bool])\nassert_type(MAR_i8 > AR_td64, MaskedArray[np.bool])\nassert_type(MAR_b > AR_td64, MaskedArray[np.bool])\nassert_type(MAR_td64 > AR_td64, MaskedArray[np.bool])\nassert_type(MAR_dt64 > AR_dt64, MaskedArray[np.bool])\nassert_type(MAR_o > AR_o, MaskedArray[np.bool])\nassert_type(MAR_1d > 0, MaskedArray[np.bool])\nassert_type(MAR_s > MAR_s, MaskedArray[np.bool])\nassert_type(MAR_byte > MAR_byte, MaskedArray[np.bool])\n\nassert_type(MAR_f4 <= 3, MaskedArray[np.bool])\nassert_type(MAR_i8 <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_b <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_td64 <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_dt64 <= AR_dt64, MaskedArray[np.bool])\nassert_type(MAR_o <= AR_o, MaskedArray[np.bool])\nassert_type(MAR_1d <= 0, MaskedArray[np.bool])\nassert_type(MAR_s <= MAR_s, MaskedArray[np.bool])\nassert_type(MAR_byte <= MAR_byte, MaskedArray[np.bool])\n\nassert_type(MAR_f4 < 3, MaskedArray[np.bool])\nassert_type(MAR_i8 < AR_td64, MaskedArray[np.bool])\nassert_type(MAR_b < AR_td64, MaskedArray[np.bool])\nassert_type(MAR_td64 < AR_td64, MaskedArray[np.bool])\nassert_type(MAR_dt64 < AR_dt64, MaskedArray[np.bool])\nassert_type(MAR_o < AR_o, MaskedArray[np.bool])\nassert_type(MAR_1d < 0, MaskedArray[np.bool])\nassert_type(MAR_s < MAR_s, MaskedArray[np.bool])\nassert_type(MAR_byte < MAR_byte, MaskedArray[np.bool])\n\nassert_type(MAR_f4 <= 3, MaskedArray[np.bool])\nassert_type(MAR_i8 <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_b <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_td64 <= AR_td64, MaskedArray[np.bool])\nassert_type(MAR_dt64 <= AR_dt64, MaskedArray[np.bool])\nassert_type(MAR_o <= AR_o, MaskedArray[np.bool])\nassert_type(MAR_1d <= 0, MaskedArray[np.bool])\nassert_type(MAR_s <= MAR_s, MaskedArray[np.bool])\nassert_type(MAR_byte <= MAR_byte, MaskedArray[np.bool])\n\nassert_type(MAR_byte.count(), int)\nassert_type(MAR_f4.count(axis=None), int)\nassert_type(MAR_f4.count(axis=0), NDArray[np.int_])\nassert_type(MAR_b.count(axis=(0,1)), NDArray[np.int_])\nassert_type(MAR_o.count(keepdims=True), NDArray[np.int_])\nassert_type(MAR_o.count(axis=None, keepdims=True), NDArray[np.int_])\nassert_type(MAR_o.count(None, True), NDArray[np.int_])\n\nassert_type(np.ma.count(MAR_byte), int)\nassert_type(np.ma.count(MAR_byte, axis=None), int)\nassert_type(np.ma.count(MAR_f4, axis=0), NDArray[np.int_])\nassert_type(np.ma.count(MAR_b, axis=(0,1)), NDArray[np.int_])\nassert_type(np.ma.count(MAR_o, keepdims=True), NDArray[np.int_])\nassert_type(np.ma.count(MAR_o, axis=None, keepdims=True), NDArray[np.int_])\nassert_type(np.ma.count(MAR_o, None, True), NDArray[np.int_])\n\nassert_type(MAR_f4.compressed(), np.ndarray[tuple[int], np.dtype[np.float32]])\n\nassert_type(np.ma.compressed(MAR_i8), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(np.ma.compressed([[1,2,3]]), np.ndarray[tuple[int], np.dtype])\n\nassert_type(MAR_f4.put([0,4,8], [10,20,30]), None)\nassert_type(MAR_f4.put(4, 999), None)\nassert_type(MAR_f4.put(4, 999, mode='clip'), None)\n\nassert_type(np.ma.put(MAR_f4, [0,4,8], [10,20,30]), None)\nassert_type(np.ma.put(MAR_f4, 4, 999), None)\nassert_type(np.ma.put(MAR_f4, 4, 999, mode='clip'), None)\n\nassert_type(np.ma.putmask(MAR_f4, [True, False], [0, 1]), None)\nassert_type(np.ma.putmask(MAR_f4, np.False_, [0, 1]), None)\n\nassert_type(MAR_f4.filled(float('nan')), NDArray[np.float32])\nassert_type(MAR_i8.filled(), NDArray[np.int64])\nassert_type(MAR_1d.filled(), np.ndarray[tuple[int], np.dtype])\n\nassert_type(np.ma.filled(MAR_f4, float('nan')), NDArray[np.float32])\nassert_type(np.ma.filled([[1,2,3]]), NDArray[Any])\n# PyRight detects this one correctly, but mypy doesn't.\n# https://github.com/numpy/numpy/pull/28742#discussion_r2048968375\nassert_type(np.ma.filled(MAR_1d), np.ndarray[tuple[int], np.dtype]) # type: ignore[assert-type]\n\nassert_type(MAR_b.repeat(3), np.ma.MaskedArray[tuple[int], np.dtype[np.bool]])\nassert_type(MAR_2d_f4.repeat(MAR_i8), np.ma.MaskedArray[tuple[int], np.dtype[np.float32]])\nassert_type(MAR_2d_f4.repeat(MAR_i8, axis=None), np.ma.MaskedArray[tuple[int], np.dtype[np.float32]])\nassert_type(MAR_2d_f4.repeat(MAR_i8, axis=0), MaskedArray[np.float32])\n\nassert_type(np.ma.allequal(AR_f4, MAR_f4), bool)\nassert_type(np.ma.allequal(AR_f4, MAR_f4, fill_value=False), bool)\n\nassert_type(np.ma.allclose(AR_f4, MAR_f4), bool)\nassert_type(np.ma.allclose(AR_f4, MAR_f4, masked_equal=False), bool)\nassert_type(np.ma.allclose(AR_f4, MAR_f4, rtol=.4, atol=.3), bool)\n\nassert_type(MAR_2d_f4.ravel(), np.ma.MaskedArray[tuple[int], np.dtype[np.float32]])\nassert_type(MAR_1d.ravel(order='A'), np.ma.MaskedArray[tuple[int], np.dtype[Any]])\n\nassert_type(np.ma.getmask(MAR_f4), NDArray[np.bool] | np.bool)\n# PyRight detects this one correctly, but mypy doesn't:\n# `Revealed type is "Union[numpy.ndarray[Any, Any], numpy.bool[Any]]"`\nassert_type(np.ma.getmask(MAR_1d), np.ndarray[tuple[int], np.dtype[np.bool]] | np.bool) # type: ignore[assert-type]\nassert_type(np.ma.getmask(MAR_2d_f4), np.ndarray[tuple[int, int], np.dtype[np.bool]] | np.bool)\nassert_type(np.ma.getmask([1,2]), NDArray[np.bool] | np.bool)\nassert_type(np.ma.getmask(np.int64(1)), np.bool)\n\nassert_type(np.ma.is_mask(MAR_1d), bool)\nassert_type(np.ma.is_mask(AR_b), bool)\n\ndef func(x: object) -> None:\n if np.ma.is_mask(x):\n assert_type(x, NDArray[np.bool])\n else:\n assert_type(x, object)\n\nassert_type(MAR_2d_f4.mT, np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\n\nassert_type(MAR_c16.real, MaskedArray[np.float64])\nassert_type(MAR_c16.imag, MaskedArray[np.float64])\n\nassert_type(MAR_2d_f4.baseclass, type[NDArray[Any]])\n\nassert_type(MAR_b.swapaxes(0, 1), MaskedArray[np.bool])\nassert_type(MAR_2d_f4.swapaxes(1, 0), MaskedArray[np.float32])\n\nassert_type(np.ma.nomask, np.bool[Literal[False]])\n# https://github.com/python/mypy/issues/18974\nassert_type(np.ma.MaskType, type[np.bool]) # type: ignore[assert-type]\n\nassert_type(MAR_1d.__setmask__([True, False]), None)\nassert_type(MAR_1d.__setmask__(np.False_), None)\n\nassert_type(MAR_2d_f4.harden_mask(), np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\nassert_type(MAR_i8.harden_mask(), MaskedArray[np.int64])\nassert_type(MAR_2d_f4.soften_mask(), np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\nassert_type(MAR_i8.soften_mask(), MaskedArray[np.int64])\nassert_type(MAR_f4.unshare_mask(), MaskedArray[np.float32])\nassert_type(MAR_b.shrink_mask(), MaskedArray[np.bool_])\n\nassert_type(MAR_i8.hardmask, bool)\nassert_type(MAR_i8.sharedmask, bool)\n\nassert_type(MAR_b.transpose(), MaskedArray[np.bool])\nassert_type(MAR_2d_f4.transpose(), np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\nassert_type(MAR_2d_f4.transpose(1, 0), np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\nassert_type(MAR_2d_f4.transpose((1, 0)), np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\nassert_type(MAR_b.T, MaskedArray[np.bool])\nassert_type(MAR_2d_f4.T, np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])\n\nassert_type(MAR_2d_f4.nonzero(), tuple[_Array1D[np.intp], *tuple[_Array1D[np.intp], ...]])\nassert_type(MAR_2d_f4.nonzero()[0], _Array1D[np.intp])\n | .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, np.matrix[_Shape2D, Any])\nmat *= 5\n\nassert_type(mat**5, np.matrix[_Shape2D, Any])\nmat **= 5\n\nassert_type(mat.sum(), Any)\nassert_type(mat.mean(), Any)\nassert_type(mat.std(), Any)\nassert_type(mat.var(), Any)\nassert_type(mat.prod(), Any)\nassert_type(mat.any(), np.bool)\nassert_type(mat.all(), np.bool)\nassert_type(mat.max(), np.int64)\nassert_type(mat.min(), np.int64)\nassert_type(mat.argmax(), np.intp)\nassert_type(mat.argmin(), np.intp)\nassert_type(mat.ptp(), np.int64)\n\nassert_type(mat.sum(axis=0), np.matrix[_Shape2D, Any])\nassert_type(mat.mean(axis=0), np.matrix[_Shape2D, Any])\nassert_type(mat.std(axis=0), np.matrix[_Shape2D, Any])\nassert_type(mat.var(axis=0), np.matrix[_Shape2D, Any])\nassert_type(mat.prod(axis=0), np.matrix[_Shape2D, Any])\nassert_type(mat.any(axis=0), np.matrix[_Shape2D, np.dtype[np.bool]])\nassert_type(mat.all(axis=0), np.matrix[_Shape2D, np.dtype[np.bool]])\nassert_type(mat.max(axis=0), np.matrix[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.min(axis=0), np.matrix[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.argmax(axis=0), np.matrix[_Shape2D, np.dtype[np.intp]])\nassert_type(mat.argmin(axis=0), np.matrix[_Shape2D, np.dtype[np.intp]])\nassert_type(mat.ptp(axis=0), np.matrix[_Shape2D, np.dtype[np.int64]])\n\nassert_type(mat.sum(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.mean(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.std(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.var(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.prod(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.any(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.all(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.max(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.min(out=ar_f8), npt.NDArray[np.float64])\nassert_type(mat.argmax(out=ar_ip), npt.NDArray[np.intp])\nassert_type(mat.argmin(out=ar_ip), npt.NDArray[np.intp])\nassert_type(mat.ptp(out=ar_f8), npt.NDArray[np.float64])\n\nassert_type(mat.T, np.matrix[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.I, np.matrix[_Shape2D, Any])\nassert_type(mat.A, np.ndarray[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.A1, npt.NDArray[np.int64])\nassert_type(mat.H, np.matrix[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.getT(), np.matrix[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.getI(), np.matrix[_Shape2D, Any])\nassert_type(mat.getA(), np.ndarray[_Shape2D, np.dtype[np.int64]])\nassert_type(mat.getA1(), npt.NDArray[np.int64])\nassert_type(mat.getH(), np.matrix[_Shape2D, np.dtype[np.int64]])\n\nassert_type(np.bmat(ar_f8), np.matrix[_Shape2D, Any])\nassert_type(np.bmat([[0, 1, 2]]), np.matrix[_Shape2D, Any])\nassert_type(np.bmat("mat"), np.matrix[_Shape2D, Any])\n\nassert_type(np.asmatrix(ar_f8, dtype=np.int64), np.matrix[_Shape2D, Any])\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.mode, str)\nassert_type(memmap_obj.flush(), None)\n\nassert_type(np.memmap("file.txt", offset=5), np.memmap[Any, np.dtype[np.uint8]])\nassert_type(np.memmap(b"file.txt", dtype=np.float64, shape=(10, 3)), np.memmap[Any, np.dtype[np.float64]])\nwith open("file.txt", "rb") as f:\n assert_type(np.memmap(f, dtype=float, order="K"), np.memmap[Any, np.dtype])\n\nassert_type(memmap_obj.__array_finalize__(object()), None)\n | .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_int0: np.timedelta64[L[0]]\nm_int: np.timedelta64[int]\nm_td: np.timedelta64[dt.timedelta]\n\nb_: np.bool\n\nb: bool\ni: int\nf: float\n\nAR_b: npt.NDArray[np.bool]\nAR_m: npt.NDArray[np.timedelta64]\n\n# Time structures\n\nassert_type(m % m, np.timedelta64)\nassert_type(m % m_nat, np.timedelta64[None])\nassert_type(m % m_int0, np.timedelta64[None])\nassert_type(m % m_int, np.timedelta64[int | None])\nassert_type(m_nat % m, np.timedelta64[None])\nassert_type(m_int % m_nat, np.timedelta64[None])\nassert_type(m_int % m_int0, np.timedelta64[None])\nassert_type(m_int % m_int, np.timedelta64[int | None])\nassert_type(m_int % m_td, np.timedelta64[int | None])\nassert_type(m_td % m_nat, np.timedelta64[None])\nassert_type(m_td % m_int0, np.timedelta64[None])\nassert_type(m_td % m_int, np.timedelta64[int | None])\nassert_type(m_td % m_td, np.timedelta64[dt.timedelta | None])\n\nassert_type(AR_m % m, npt.NDArray[np.timedelta64])\nassert_type(m % AR_m, npt.NDArray[np.timedelta64])\n\nassert_type(divmod(m, m), tuple[np.int64, np.timedelta64])\nassert_type(divmod(m, m_nat), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m, m_int0), tuple[np.int64, np.timedelta64[None]])\n# workarounds for https://github.com/microsoft/pyright/issues/9663\nassert_type(m.__divmod__(m_int), tuple[np.int64, np.timedelta64[int | None]])\nassert_type(divmod(m_nat, m), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m_int, m_nat), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m_int, m_int0), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m_int, m_int), tuple[np.int64, np.timedelta64[int | None]])\nassert_type(divmod(m_int, m_td), tuple[np.int64, np.timedelta64[int | None]])\nassert_type(divmod(m_td, m_nat), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m_td, m_int0), tuple[np.int64, np.timedelta64[None]])\nassert_type(divmod(m_td, m_int), tuple[np.int64, np.timedelta64[int | None]])\nassert_type(divmod(m_td, m_td), tuple[np.int64, np.timedelta64[dt.timedelta | None]])\n\nassert_type(divmod(AR_m, m), tuple[npt.NDArray[np.int64], npt.NDArray[np.timedelta64]])\nassert_type(divmod(m, AR_m), tuple[npt.NDArray[np.int64], npt.NDArray[np.timedelta64]])\n\n# Bool\n\nassert_type(b_ % b, np.int8)\nassert_type(b_ % i, np.int_)\nassert_type(b_ % f, np.float64)\nassert_type(b_ % b_, np.int8)\nassert_type(b_ % i8, np.int64)\nassert_type(b_ % u8, np.uint64)\nassert_type(b_ % f8, np.float64)\nassert_type(b_ % AR_b, npt.NDArray[np.int8])\n\nassert_type(divmod(b_, b), tuple[np.int8, np.int8])\nassert_type(divmod(b_, b_), tuple[np.int8, np.int8])\n# workarounds for https://github.com/microsoft/pyright/issues/9663\nassert_type(b_.__divmod__(i), tuple[np.int_, np.int_])\nassert_type(b_.__divmod__(f), tuple[np.float64, np.float64])\nassert_type(b_.__divmod__(i8), tuple[np.int64, np.int64])\nassert_type(b_.__divmod__(u8), tuple[np.uint64, np.uint64])\nassert_type(divmod(b_, f8), tuple[np.float64, np.float64])\nassert_type(divmod(b_, AR_b), tuple[npt.NDArray[np.int8], npt.NDArray[np.int8]])\n\nassert_type(b % b_, np.int8)\nassert_type(i % b_, np.int_)\nassert_type(f % b_, np.float64)\nassert_type(b_ % b_, np.int8)\nassert_type(i8 % b_, np.int64)\nassert_type(u8 % b_, np.uint64)\nassert_type(f8 % b_, np.float64)\nassert_type(AR_b % b_, npt.NDArray[np.int8])\n\nassert_type(divmod(b, b_), tuple[np.int8, np.int8])\nassert_type(divmod(i, b_), tuple[np.int_, np.int_])\nassert_type(divmod(f, b_), tuple[np.float64, np.float64])\nassert_type(divmod(b_, b_), tuple[np.int8, np.int8])\nassert_type(divmod(i8, b_), tuple[np.int64, np.int64])\nassert_type(divmod(u8, b_), tuple[np.uint64, np.uint64])\nassert_type(divmod(f8, b_), tuple[np.float64, np.float64])\nassert_type(divmod(AR_b, b_), tuple[npt.NDArray[np.int8], npt.NDArray[np.int8]])\n\n# int\n\nassert_type(i8 % b, np.int64)\nassert_type(i8 % i8, np.int64)\nassert_type(i8 % f, np.float64 | np.floating[_64Bit])\nassert_type(i8 % f8, np.float64 | np.floating[_64Bit])\nassert_type(i4 % i8, np.int64 | np.int32)\nassert_type(i4 % f8, np.float64 | np.float32)\nassert_type(i4 % i4, np.int32)\nassert_type(i4 % f4, np.float32)\nassert_type(i8 % AR_b, npt.NDArray[np.int64])\n\nassert_type(divmod(i8, b), tuple[np.int64, np.int64])\nassert_type(divmod(i8, i4), tuple[np.int64, np.int64] | tuple[np.int32, np.int32])\nassert_type(divmod(i8, i8), tuple[np.int64, np.int64])\n# workarounds for https://github.com/microsoft/pyright/issues/9663\nassert_type(i8.__divmod__(f), tuple[np.floating[_64Bit], np.floating[_64Bit]] | tuple[np.float64, np.float64])\nassert_type(i8.__divmod__(f8), tuple[np.floating[_64Bit], np.floating[_64Bit]] | tuple[np.float64, np.float64])\nassert_type(divmod(i8, f4), tuple[np.floating[_64Bit], np.floating[_64Bit]] | tuple[np.float32, np.float32])\nassert_type(divmod(i4, i4), tuple[np.int32, np.int32])\nassert_type(divmod(i4, f4), tuple[np.float32, np.float32])\nassert_type(divmod(i8, AR_b), tuple[npt.NDArray[np.int64], npt.NDArray[np.int64]])\n\nassert_type(b % i8, np.int64)\nassert_type(f % i8, np.float64 | np.floating[_64Bit])\nassert_type(i8 % i8, np.int64)\nassert_type(f8 % i8, np.float64)\nassert_type(i8 % i4, np.int64 | np.int32)\nassert_type(f8 % i4, np.float64)\nassert_type(i4 % i4, np.int32)\nassert_type(f4 % i4, np.float32)\nassert_type(AR_b % i8, npt.NDArray[np.int64])\n\nassert_type(divmod(b, i8), tuple[np.int64, np.int64])\nassert_type(divmod(f, i8), tuple[np.floating[_64Bit], np.floating[_64Bit]] | tuple[np.float64, np.float64])\nassert_type(divmod(i8, i8), tuple[np.int64, np.int64])\nassert_type(divmod(f8, i8), tuple[np.float64, np.float64])\nassert_type(divmod(i4, i8), tuple[np.int64, np.int64] | tuple[np.int32, np.int32])\nassert_type(divmod(i4, i4), tuple[np.int32, np.int32])\n# workarounds for https://github.com/microsoft/pyright/issues/9663\nassert_type(f4.__divmod__(i8), tuple[np.floating[_64Bit], np.floating[_64Bit]] | tuple[np.float32, np.float32])\nassert_type(f4.__divmod__(i4), tuple[np.float32, np.float32])\nassert_type(AR_b.__divmod__(i8), tuple[npt.NDArray[np.int64], npt.NDArray[np.int64]])\n\n# float\n\nassert_type(f8 % b, np.float64)\nassert_type(f8 % f, np.float64)\nassert_type(i8 % f4, np.floating[_64Bit] | np.float32)\nassert_type(f4 % f4, np.float32)\nassert_type(f8 % AR_b, npt.NDArray[np.float64])\n\nassert_type(divmod(f8, b), tuple[np.float64, np.float64])\nassert_type(divmod(f8, f), tuple[np.float64, np.float64])\nassert_type(divmod(f8, f8), tuple[np.float64, np.float64])\nassert_type(divmod(f8, f4), tuple[np.float64, np.float64])\nassert_type(divmod(f4, f4), tuple[np.float32, np.float32])\nassert_type(divmod(f8, AR_b), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]])\n\nassert_type(b % f8, np.float64)\nassert_type(f % f8, np.float64) # pyright: ignore[reportAssertTypeFailure] # pyright incorrectly infers `builtins.float`\nassert_type(f8 % f8, np.float64)\nassert_type(f8 % f8, np.float64)\nassert_type(f4 % f4, np.float32)\nassert_type(AR_b % f8, npt.NDArray[np.float64])\n\nassert_type(divmod(b, f8), tuple[np.float64, np.float64])\nassert_type(divmod(f8, f8), tuple[np.float64, np.float64])\nassert_type(divmod(f4, f4), tuple[np.float32, np.float32])\n# workarounds for https://github.com/microsoft/pyright/issues/9663\nassert_type(f8.__rdivmod__(f), tuple[np.float64, np.float64])\nassert_type(f8.__rdivmod__(f4), tuple[np.float64, np.float64])\nassert_type(AR_b.__divmod__(f8), tuple[npt.NDArray[np.float64], npt.NDArray[np.float64]])\n | .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, types.ModuleType)\nassert_type(np.linalg, types.ModuleType)\nassert_type(np.ma, types.ModuleType)\nassert_type(np.matrixlib, types.ModuleType)\nassert_type(np.polynomial, types.ModuleType)\nassert_type(np.random, types.ModuleType)\nassert_type(np.rec, types.ModuleType)\nassert_type(np.testing, types.ModuleType)\nassert_type(np.version, types.ModuleType)\nassert_type(np.exceptions, types.ModuleType)\nassert_type(np.dtypes, types.ModuleType)\n\nassert_type(np.lib.format, types.ModuleType)\nassert_type(np.lib.mixins, types.ModuleType)\nassert_type(np.lib.scimath, types.ModuleType)\nassert_type(np.lib.stride_tricks, types.ModuleType)\nassert_type(np.ma.extras, types.ModuleType)\nassert_type(np.polynomial.chebyshev, types.ModuleType)\nassert_type(np.polynomial.hermite, types.ModuleType)\nassert_type(np.polynomial.hermite_e, types.ModuleType)\nassert_type(np.polynomial.laguerre, types.ModuleType)\nassert_type(np.polynomial.legendre, types.ModuleType)\nassert_type(np.polynomial.polynomial, types.ModuleType)\n\nassert_type(np.__path__, list[str])\nassert_type(np.__version__, str)\nassert_type(np.test, np._pytesttester.PytestTester)\nassert_type(np.test.module_name, str)\n\nassert_type(np.__all__, list[str])\nassert_type(np.char.__all__, list[str])\nassert_type(np.ctypeslib.__all__, list[str])\nassert_type(np.emath.__all__, list[str])\nassert_type(np.lib.__all__, list[str])\nassert_type(np.ma.__all__, list[str])\nassert_type(np.random.__all__, list[str])\nassert_type(np.rec.__all__, list[str])\nassert_type(np.testing.__all__, list[str])\nassert_type(f2py.__all__, list[str])\n | .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]\nAR_i8: npt.NDArray[np.int64]\nAR_u1: npt.NDArray[np.uint8]\nAR_m: npt.NDArray[np.timedelta64]\nAR_M: npt.NDArray[np.datetime64]\n\nAR_LIKE_f: list[float]\nAR_LIKE_i: list[int]\n\nm: np.timedelta64\nM: np.datetime64\n\nb_f8 = np.broadcast(AR_f8)\nb_i8_f8_f8 = np.broadcast(AR_i8, AR_f8, AR_f8)\n\nnditer_obj: np.nditer\n\ndate_scalar: dt.date\ndate_seq: list[dt.date]\ntimedelta_seq: list[dt.timedelta]\n\nn1: Literal[1]\nn2: Literal[2]\nn3: Literal[3]\n\nf8: np.float64\n\ndef func11(a: int) -> bool: ...\ndef func21(a: int, b: int) -> int: ...\ndef func12(a: int) -> tuple[complex, bool]: ...\n\nassert_type(next(b_f8), tuple[Any, ...])\nassert_type(b_f8.reset(), None)\nassert_type(b_f8.index, int)\nassert_type(b_f8.iters, tuple[np.flatiter[Any], ...])\nassert_type(b_f8.nd, int)\nassert_type(b_f8.ndim, int)\nassert_type(b_f8.numiter, int)\nassert_type(b_f8.shape, tuple[Any, ...])\nassert_type(b_f8.size, int)\n\nassert_type(next(b_i8_f8_f8), tuple[Any, ...])\nassert_type(b_i8_f8_f8.reset(), None)\nassert_type(b_i8_f8_f8.index, int)\nassert_type(b_i8_f8_f8.iters, tuple[np.flatiter[Any], ...])\nassert_type(b_i8_f8_f8.nd, int)\nassert_type(b_i8_f8_f8.ndim, int)\nassert_type(b_i8_f8_f8.numiter, int)\nassert_type(b_i8_f8_f8.shape, tuple[Any, ...])\nassert_type(b_i8_f8_f8.size, int)\n\nassert_type(np.inner(AR_f8, AR_i8), Any)\n\nassert_type(np.where([True, True, False]), tuple[npt.NDArray[np.intp], ...])\nassert_type(np.where([True, True, False], 1, 0), npt.NDArray[Any])\n\nassert_type(np.lexsort([0, 1, 2]), Any)\n\nassert_type(np.can_cast(np.dtype("i8"), int), bool)\nassert_type(np.can_cast(AR_f8, "f8"), bool)\nassert_type(np.can_cast(AR_f8, np.complex128, casting="unsafe"), bool)\n\nassert_type(np.min_scalar_type([1]), np.dtype)\nassert_type(np.min_scalar_type(AR_f8), np.dtype)\n\nassert_type(np.result_type(int, [1]), np.dtype)\nassert_type(np.result_type(AR_f8, AR_u1), np.dtype)\nassert_type(np.result_type(AR_f8, np.complex128), np.dtype)\n\nassert_type(np.dot(AR_LIKE_f, AR_i8), Any)\nassert_type(np.dot(AR_u1, 1), Any)\nassert_type(np.dot(1.5j, 1), Any)\nassert_type(np.dot(AR_u1, 1, out=AR_f8), npt.NDArray[np.float64])\n\nassert_type(np.vdot(AR_LIKE_f, AR_i8), np.floating)\nassert_type(np.vdot(AR_u1, 1), np.signedinteger)\nassert_type(np.vdot(1.5j, 1), np.complexfloating)\n\nassert_type(np.bincount(AR_i8), npt.NDArray[np.intp])\n\nassert_type(np.copyto(AR_f8, [1., 1.5, 1.6]), None)\n\nassert_type(np.putmask(AR_f8, [True, True, False], 1.5), None)\n\nassert_type(np.packbits(AR_i8), npt.NDArray[np.uint8])\nassert_type(np.packbits(AR_u1), npt.NDArray[np.uint8])\n\nassert_type(np.unpackbits(AR_u1), npt.NDArray[np.uint8])\n\nassert_type(np.shares_memory(1, 2), bool)\nassert_type(np.shares_memory(AR_f8, AR_f8, max_work=1), bool)\n\nassert_type(np.may_share_memory(1, 2), bool)\nassert_type(np.may_share_memory(AR_f8, AR_f8, max_work=1), bool)\n\nassert_type(np.promote_types(np.int32, np.int64), np.dtype)\nassert_type(np.promote_types("f4", float), np.dtype)\n\nassert_type(np.frompyfunc(func11, n1, n1).nin, Literal[1])\nassert_type(np.frompyfunc(func11, n1, n1).nout, Literal[1])\nassert_type(np.frompyfunc(func11, n1, n1).nargs, Literal[2])\nassert_type(np.frompyfunc(func11, n1, n1).ntypes, Literal[1])\nassert_type(np.frompyfunc(func11, n1, n1).identity, None)\nassert_type(np.frompyfunc(func11, n1, n1).signature, None)\nassert_type(np.frompyfunc(func11, n1, n1)(f8), bool)\nassert_type(np.frompyfunc(func11, n1, n1)(AR_f8), bool | npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func11, n1, n1).at(AR_f8, AR_i8), None)\n\nassert_type(np.frompyfunc(func21, n2, n1).nin, Literal[2])\nassert_type(np.frompyfunc(func21, n2, n1).nout, Literal[1])\nassert_type(np.frompyfunc(func21, n2, n1).nargs, Literal[3])\nassert_type(np.frompyfunc(func21, n2, n1).ntypes, Literal[1])\nassert_type(np.frompyfunc(func21, n2, n1).identity, None)\nassert_type(np.frompyfunc(func21, n2, n1).signature, None)\nassert_type(np.frompyfunc(func21, n2, n1)(f8, f8), int)\nassert_type(np.frompyfunc(func21, n2, n1)(AR_f8, f8), int | npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func21, n2, n1)(f8, AR_f8), int | npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func21, n2, n1).reduce(AR_f8, axis=0), int | npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func21, n2, n1).accumulate(AR_f8), npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func21, n2, n1).reduceat(AR_f8, AR_i8), npt.NDArray[np.object_])\nassert_type(np.frompyfunc(func21, n2, n1).outer(f8, f8), int)\nassert_type(np.frompyfunc(func21, n2, n1).outer(AR_f8, f8), int | npt.NDArray[np.object_])\n\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).nin, Literal[2])\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).nout, Literal[1])\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).nargs, Literal[3])\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).ntypes, Literal[1])\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).identity, int)\nassert_type(np.frompyfunc(func21, n2, n1, identity=0).signature, None)\n\nassert_type(np.frompyfunc(func12, n1, n2).nin, Literal[1])\nassert_type(np.frompyfunc(func12, n1, n2).nout, Literal[2])\nassert_type(np.frompyfunc(func12, n1, n2).nargs, int)\nassert_type(np.frompyfunc(func12, n1, n2).ntypes, Literal[1])\nassert_type(np.frompyfunc(func12, n1, n2).identity, None)\nassert_type(np.frompyfunc(func12, n1, n2).signature, None)\nassert_type(\n np.frompyfunc(func12, n2, n2)(f8, f8),\n tuple[complex, complex, *tuple[complex, ...]],\n)\nassert_type(\n np.frompyfunc(func12, n2, n2)(AR_f8, f8),\n tuple[\n complex | npt.NDArray[np.object_],\n complex | npt.NDArray[np.object_],\n *tuple[complex | npt.NDArray[np.object_], ...],\n ],\n)\n\nassert_type(np.datetime_data("m8[D]"), tuple[str, int])\nassert_type(np.datetime_data(np.datetime64), tuple[str, int])\nassert_type(np.datetime_data(np.dtype(np.timedelta64)), tuple[str, int])\n\nassert_type(np.busday_count("2011-01", "2011-02"), np.int_)\nassert_type(np.busday_count(["2011-01"], "2011-02"), npt.NDArray[np.int_])\nassert_type(np.busday_count(["2011-01"], date_scalar), npt.NDArray[np.int_])\n\nassert_type(np.busday_offset(M, m), np.datetime64)\nassert_type(np.busday_offset(date_scalar, m), np.datetime64)\nassert_type(np.busday_offset(M, 5), np.datetime64)\nassert_type(np.busday_offset(AR_M, m), npt.NDArray[np.datetime64])\nassert_type(np.busday_offset(M, timedelta_seq), npt.NDArray[np.datetime64])\nassert_type(np.busday_offset("2011-01", "2011-02", roll="forward"), np.datetime64)\nassert_type(np.busday_offset(["2011-01"], "2011-02", roll="forward"), npt.NDArray[np.datetime64])\n\nassert_type(np.is_busday("2012"), np.bool)\nassert_type(np.is_busday(date_scalar), np.bool)\nassert_type(np.is_busday(["2012"]), npt.NDArray[np.bool])\n\nassert_type(np.datetime_as_string(M), np.str_)\nassert_type(np.datetime_as_string(AR_M), npt.NDArray[np.str_])\n\nassert_type(np.busdaycalendar(holidays=date_seq), np.busdaycalendar)\nassert_type(np.busdaycalendar(holidays=[M]), np.busdaycalendar)\n\nassert_type(np.char.compare_chararrays("a", "b", "!=", rstrip=False), npt.NDArray[np.bool])\nassert_type(np.char.compare_chararrays(b"a", b"a", "==", True), npt.NDArray[np.bool])\n\nassert_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["c_index"]), tuple[np.nditer, ...])\nassert_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["readonly", "readonly"]]), tuple[np.nditer, ...])\nassert_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_dtypes=np.int_), tuple[np.nditer, ...])\nassert_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]], order="C", casting="no"), tuple[np.nditer, ...])\n | .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: ignore[reportDeprecated]\n\ndef add(a: np.floating[T1], b: np.integer[T2]) -> np.floating[T1 | T2]:\n return a + b\n\ni8: np.int64\ni4: np.int32\nf8: np.float64\nf4: np.float32\n\nassert_type(add(f8, i8), np.floating[_64Bit])\nassert_type(add(f4, i8), np.floating[_32Bit | _64Bit])\nassert_type(add(f8, i4), np.floating[_32Bit | _64Bit])\nassert_type(add(f4, i4), np.floating[_32Bit])\n | .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, /) -> _T_co: ...\n\nclass CanNeg(Protocol[_T_co]):\n def __neg__(self, /) -> _T_co: ...\n\nclass CanPos(Protocol[_T_co]):\n def __pos__(self, /) -> _T_co: ...\n\ndef do_abs(x: CanAbs[_T]) -> _T: ...\ndef do_invert(x: CanInvert[_T]) -> _T: ...\ndef do_neg(x: CanNeg[_T]) -> _T: ...\ndef do_pos(x: CanPos[_T]) -> _T: ...\n\n_Bool_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.bool]]\n_UInt8_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.uint8]]\n_Int16_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.int16]]\n_LongLong_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.longlong]]\n_Float32_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.float32]]\n_Float64_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.float64]]\n_LongDouble_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.longdouble]]\n_Complex64_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complex64]]\n_Complex128_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complex128]]\n_CLongDouble_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[np.clongdouble]]\n\nb1_1d: _Bool_1d\nu1_1d: _UInt8_1d\ni2_1d: _Int16_1d\nq_1d: _LongLong_1d\nf4_1d: _Float32_1d\nf8_1d: _Float64_1d\ng_1d: _LongDouble_1d\nc8_1d: _Complex64_1d\nc16_1d: _Complex128_1d\nG_1d: _CLongDouble_1d\n\nassert_type(do_abs(b1_1d), _Bool_1d)\nassert_type(do_abs(u1_1d), _UInt8_1d)\nassert_type(do_abs(i2_1d), _Int16_1d)\nassert_type(do_abs(q_1d), _LongLong_1d)\nassert_type(do_abs(f4_1d), _Float32_1d)\nassert_type(do_abs(f8_1d), _Float64_1d)\nassert_type(do_abs(g_1d), _LongDouble_1d)\n\nassert_type(do_abs(c8_1d), _Float32_1d)\n# NOTE: Unfortunately it's not possible to have this return a `float64` sctype, see\n# https://github.com/python/mypy/issues/14070\nassert_type(do_abs(c16_1d), np.ndarray[tuple[int], np.dtype[np.floating[_64Bit]]])\nassert_type(do_abs(G_1d), _LongDouble_1d)\n\nassert_type(do_invert(b1_1d), _Bool_1d)\nassert_type(do_invert(u1_1d), _UInt8_1d)\nassert_type(do_invert(i2_1d), _Int16_1d)\nassert_type(do_invert(q_1d), _LongLong_1d)\n\nassert_type(do_neg(u1_1d), _UInt8_1d)\nassert_type(do_neg(i2_1d), _Int16_1d)\nassert_type(do_neg(q_1d), _LongLong_1d)\nassert_type(do_neg(f4_1d), _Float32_1d)\nassert_type(do_neg(c16_1d), _Complex128_1d)\n\nassert_type(do_pos(u1_1d), _UInt8_1d)\nassert_type(do_pos(i2_1d), _Int16_1d)\nassert_type(do_pos(q_1d), _LongLong_1d)\nassert_type(do_pos(f4_1d), _Float32_1d)\nassert_type(do_pos(c16_1d), _Complex128_1d)\n | .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.ndarray[tuple[int, int, int, int], np.dtype[np.clongdouble]]\ni0_nd: npt.NDArray[np.int_]\nuncertain_dtype: np.int32 | np.float64 | np.str_\n\n# item\nassert_type(i0_nd.item(), int)\nassert_type(i0_nd.item(1), int)\nassert_type(i0_nd.item(0, 1), int)\nassert_type(i0_nd.item((0, 1)), int)\n\nassert_type(b1_0d.item(()), bool)\nassert_type(u2_1d.item((0,)), int)\nassert_type(i4_2d.item(-1, 2), int)\nassert_type(f8_3d.item(2, 1, -1), float)\nassert_type(cG_4d.item(-0xEd_fed_Deb_a_dead_bee), complex) # c'mon Ed, we talked about this...\n\n# tolist\nassert_type(b1_0d.tolist(), bool)\nassert_type(u2_1d.tolist(), list[int])\nassert_type(i4_2d.tolist(), list[list[int]])\nassert_type(f8_3d.tolist(), list[list[list[float]]])\nassert_type(cG_4d.tolist(), Any)\nassert_type(i0_nd.tolist(), Any)\n\n# regression tests for numpy/numpy#27944\nany_dtype: np.ndarray[Any, Any]\nany_sctype: np.ndarray[Any, Any]\nassert_type(any_dtype.tolist(), Any)\nassert_type(any_sctype.tolist(), Any)\n\n\n# itemset does not return a value\n# tobytes is pretty simple\n# tofile does not return a value\n# dump does not return a value\n# dumps is pretty simple\n\n# astype\nassert_type(i0_nd.astype("float"), npt.NDArray[Any])\nassert_type(i0_nd.astype(float), npt.NDArray[Any])\nassert_type(i0_nd.astype(np.float64), npt.NDArray[np.float64])\nassert_type(i0_nd.astype(np.float64, "K"), npt.NDArray[np.float64])\nassert_type(i0_nd.astype(np.float64, "K", "unsafe"), npt.NDArray[np.float64])\nassert_type(i0_nd.astype(np.float64, "K", "unsafe", True), npt.NDArray[np.float64])\nassert_type(i0_nd.astype(np.float64, "K", "unsafe", True, True), npt.NDArray[np.float64])\n\nassert_type(np.astype(i0_nd, np.float64), npt.NDArray[np.float64])\n\nassert_type(i4_2d.astype(np.uint16), np.ndarray[tuple[int, int], np.dtype[np.uint16]])\nassert_type(np.astype(i4_2d, np.uint16), np.ndarray[tuple[int, int], np.dtype[np.uint16]])\nassert_type(f8_3d.astype(np.int16), np.ndarray[tuple[int, int, int], np.dtype[np.int16]])\nassert_type(np.astype(f8_3d, np.int16), np.ndarray[tuple[int, int, int], np.dtype[np.int16]])\nassert_type(i4_2d.astype(uncertain_dtype), np.ndarray[tuple[int, int], np.dtype[np.generic]])\nassert_type(np.astype(i4_2d, uncertain_dtype), np.ndarray[tuple[int, int], np.dtype])\n\n# byteswap\nassert_type(i0_nd.byteswap(), npt.NDArray[np.int_])\nassert_type(i0_nd.byteswap(True), npt.NDArray[np.int_])\n\n# copy\nassert_type(i0_nd.copy(), npt.NDArray[np.int_])\nassert_type(i0_nd.copy("C"), npt.NDArray[np.int_])\n\nassert_type(i0_nd.view(), npt.NDArray[np.int_])\nassert_type(i0_nd.view(np.float64), npt.NDArray[np.float64])\nassert_type(i0_nd.view(float), npt.NDArray[Any])\nassert_type(i0_nd.view(np.float64, np.matrix), np.matrix[tuple[int, int], Any])\n\n# getfield\nassert_type(i0_nd.getfield("float"), npt.NDArray[Any])\nassert_type(i0_nd.getfield(float), npt.NDArray[Any])\nassert_type(i0_nd.getfield(np.float64), npt.NDArray[np.float64])\nassert_type(i0_nd.getfield(np.float64, 8), npt.NDArray[np.float64])\n\n# setflags does not return a value\n# fill does not return a value\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 import Any, Literal, assert_type\n\nfrom typing_extensions import CapsuleType\n\nimport numpy as np\nimport numpy.typing as npt\n\nclass SubClass(npt.NDArray[np.object_]): ...\n\nf8: np.float64\ni8: np.int64\nB: SubClass\nAR_f8: npt.NDArray[np.float64]\nAR_i8: npt.NDArray[np.int64]\nAR_u1: npt.NDArray[np.uint8]\nAR_c8: npt.NDArray[np.complex64]\nAR_m: npt.NDArray[np.timedelta64]\nAR_U: npt.NDArray[np.str_]\nAR_V: npt.NDArray[np.void]\n\nAR_f8_1d: np.ndarray[tuple[int], np.dtype[np.float64]]\nAR_f8_2d: np.ndarray[tuple[int, int], np.dtype[np.float64]]\nAR_f8_3d: np.ndarray[tuple[int, int, int], np.dtype[np.float64]]\n\nctypes_obj = AR_f8.ctypes\n\nassert_type(AR_f8.__dlpack__(), CapsuleType)\nassert_type(AR_f8.__dlpack_device__(), tuple[Literal[1], Literal[0]])\n\nassert_type(ctypes_obj.data, int)\nassert_type(ctypes_obj.shape, ct.Array[np.ctypeslib.c_intp])\nassert_type(ctypes_obj.strides, ct.Array[np.ctypeslib.c_intp])\nassert_type(ctypes_obj._as_parameter_, ct.c_void_p)\n\nassert_type(ctypes_obj.data_as(ct.c_void_p), ct.c_void_p)\nassert_type(ctypes_obj.shape_as(ct.c_longlong), ct.Array[ct.c_longlong])\nassert_type(ctypes_obj.strides_as(ct.c_ubyte), ct.Array[ct.c_ubyte])\n\nassert_type(f8.all(), np.bool)\nassert_type(AR_f8.all(), np.bool)\nassert_type(AR_f8.all(axis=0), np.bool | npt.NDArray[np.bool])\nassert_type(AR_f8.all(keepdims=True), np.bool | npt.NDArray[np.bool])\nassert_type(AR_f8.all(out=B), SubClass)\n\nassert_type(f8.any(), np.bool)\nassert_type(AR_f8.any(), np.bool)\nassert_type(AR_f8.any(axis=0), np.bool | npt.NDArray[np.bool])\nassert_type(AR_f8.any(keepdims=True), np.bool | npt.NDArray[np.bool])\nassert_type(AR_f8.any(out=B), SubClass)\n\nassert_type(f8.argmax(), np.intp)\nassert_type(AR_f8.argmax(), np.intp)\nassert_type(AR_f8.argmax(axis=0), Any)\nassert_type(AR_f8.argmax(out=AR_i8), npt.NDArray[np.intp])\n\nassert_type(f8.argmin(), np.intp)\nassert_type(AR_f8.argmin(), np.intp)\nassert_type(AR_f8.argmin(axis=0), Any)\nassert_type(AR_f8.argmin(out=AR_i8), npt.NDArray[np.intp])\n\nassert_type(f8.argsort(), npt.NDArray[Any])\nassert_type(AR_f8.argsort(), npt.NDArray[Any])\n\nassert_type(f8.astype(np.int64).choose([()]), npt.NDArray[Any])\nassert_type(AR_f8.choose([0]), npt.NDArray[Any])\nassert_type(AR_f8.choose([0], out=B), SubClass)\n\nassert_type(f8.clip(1), npt.NDArray[Any])\nassert_type(AR_f8.clip(1), npt.NDArray[Any])\nassert_type(AR_f8.clip(None, 1), npt.NDArray[Any])\nassert_type(AR_f8.clip(1, out=B), SubClass)\nassert_type(AR_f8.clip(None, 1, out=B), SubClass)\n\nassert_type(f8.compress([0]), npt.NDArray[Any])\nassert_type(AR_f8.compress([0]), npt.NDArray[Any])\nassert_type(AR_f8.compress([0], out=B), SubClass)\n\nassert_type(f8.conj(), np.float64)\nassert_type(AR_f8.conj(), npt.NDArray[np.float64])\nassert_type(B.conj(), SubClass)\n\nassert_type(f8.conjugate(), np.float64)\nassert_type(AR_f8.conjugate(), npt.NDArray[np.float64])\nassert_type(B.conjugate(), SubClass)\n\nassert_type(f8.cumprod(), npt.NDArray[Any])\nassert_type(AR_f8.cumprod(), npt.NDArray[Any])\nassert_type(AR_f8.cumprod(out=B), SubClass)\n\nassert_type(f8.cumsum(), npt.NDArray[Any])\nassert_type(AR_f8.cumsum(), npt.NDArray[Any])\nassert_type(AR_f8.cumsum(out=B), SubClass)\n\nassert_type(f8.max(), Any)\nassert_type(AR_f8.max(), Any)\nassert_type(AR_f8.max(axis=0), Any)\nassert_type(AR_f8.max(keepdims=True), Any)\nassert_type(AR_f8.max(out=B), SubClass)\n\nassert_type(f8.mean(), Any)\nassert_type(AR_f8.mean(), Any)\nassert_type(AR_f8.mean(axis=0), Any)\nassert_type(AR_f8.mean(keepdims=True), Any)\nassert_type(AR_f8.mean(out=B), SubClass)\n\nassert_type(f8.min(), Any)\nassert_type(AR_f8.min(), Any)\nassert_type(AR_f8.min(axis=0), Any)\nassert_type(AR_f8.min(keepdims=True), Any)\nassert_type(AR_f8.min(out=B), SubClass)\n\nassert_type(f8.prod(), Any)\nassert_type(AR_f8.prod(), Any)\nassert_type(AR_f8.prod(axis=0), Any)\nassert_type(AR_f8.prod(keepdims=True), Any)\nassert_type(AR_f8.prod(out=B), SubClass)\n\nassert_type(f8.round(), np.float64)\nassert_type(AR_f8.round(), npt.NDArray[np.float64])\nassert_type(AR_f8.round(out=B), SubClass)\n\nassert_type(f8.repeat(1), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(f8.repeat(1, axis=0), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(AR_f8.repeat(1), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(AR_f8.repeat(1, axis=0), npt.NDArray[np.float64])\nassert_type(B.repeat(1), np.ndarray[tuple[int], np.dtype[np.object_]])\nassert_type(B.repeat(1, axis=0), npt.NDArray[np.object_])\n\nassert_type(f8.std(), Any)\nassert_type(AR_f8.std(), Any)\nassert_type(AR_f8.std(axis=0), Any)\nassert_type(AR_f8.std(keepdims=True), Any)\nassert_type(AR_f8.std(out=B), SubClass)\n\nassert_type(f8.sum(), Any)\nassert_type(AR_f8.sum(), Any)\nassert_type(AR_f8.sum(axis=0), Any)\nassert_type(AR_f8.sum(keepdims=True), Any)\nassert_type(AR_f8.sum(out=B), SubClass)\n\nassert_type(f8.take(0), np.float64)\nassert_type(AR_f8.take(0), np.float64)\nassert_type(AR_f8.take([0]), npt.NDArray[np.float64])\nassert_type(AR_f8.take(0, out=B), SubClass)\nassert_type(AR_f8.take([0], out=B), SubClass)\n\nassert_type(f8.var(), Any)\nassert_type(AR_f8.var(), Any)\nassert_type(AR_f8.var(axis=0), Any)\nassert_type(AR_f8.var(keepdims=True), Any)\nassert_type(AR_f8.var(out=B), SubClass)\n\nassert_type(AR_f8.argpartition([0]), npt.NDArray[np.intp])\n\nassert_type(AR_f8.diagonal(), npt.NDArray[np.float64])\n\nassert_type(AR_f8.dot(1), npt.NDArray[Any])\nassert_type(AR_f8.dot([1]), Any)\nassert_type(AR_f8.dot(1, out=B), SubClass)\n\nassert_type(AR_f8.nonzero(), tuple[npt.NDArray[np.intp], ...])\n\nassert_type(AR_f8.searchsorted(1), np.intp)\nassert_type(AR_f8.searchsorted([1]), npt.NDArray[np.intp])\n\nassert_type(AR_f8.trace(), Any)\nassert_type(AR_f8.trace(out=B), SubClass)\n\nassert_type(AR_f8.item(), float)\nassert_type(AR_U.item(), str)\n\nassert_type(AR_f8.ravel(), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(AR_U.ravel(), np.ndarray[tuple[int], np.dtype[np.str_]])\n\nassert_type(AR_f8.flatten(), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(AR_U.flatten(), np.ndarray[tuple[int], np.dtype[np.str_]])\n\nassert_type(AR_i8.reshape(None), npt.NDArray[np.int64])\nassert_type(AR_f8.reshape(-1), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(AR_c8.reshape(2, 3, 4, 5), np.ndarray[tuple[int, int, int, int], np.dtype[np.complex64]])\nassert_type(AR_m.reshape(()), np.ndarray[tuple[()], np.dtype[np.timedelta64]])\nassert_type(AR_U.reshape([]), np.ndarray[tuple[()], np.dtype[np.str_]])\nassert_type(AR_V.reshape((480, 720, 4)), np.ndarray[tuple[int, int, int], np.dtype[np.void]])\n\nassert_type(int(AR_f8), int)\nassert_type(int(AR_U), int)\n\nassert_type(float(AR_f8), float)\nassert_type(float(AR_U), float)\n\nassert_type(complex(AR_f8), complex)\n\nassert_type(operator.index(AR_i8), int)\n\nassert_type(AR_f8.__array_wrap__(B), npt.NDArray[np.object_])\n\nassert_type(AR_V[0], Any)\nassert_type(AR_V[0, 0], Any)\nassert_type(AR_V[AR_i8], npt.NDArray[np.void])\nassert_type(AR_V[AR_i8, AR_i8], npt.NDArray[np.void])\nassert_type(AR_V[AR_i8, None], npt.NDArray[np.void])\nassert_type(AR_V[0, ...], npt.NDArray[np.void])\nassert_type(AR_V[[0]], npt.NDArray[np.void])\nassert_type(AR_V[[0], [0]], npt.NDArray[np.void])\nassert_type(AR_V[:], npt.NDArray[np.void])\nassert_type(AR_V["a"], npt.NDArray[Any])\nassert_type(AR_V[["a", "b"]], npt.NDArray[np.void])\n\nassert_type(AR_f8.dump("test_file"), None)\nassert_type(AR_f8.dump(b"test_file"), None)\nwith open("test_file", "wb") as f:\n assert_type(AR_f8.dump(f), None)\n\nassert_type(AR_f8.__array_finalize__(None), None)\nassert_type(AR_f8.__array_finalize__(B), None)\nassert_type(AR_f8.__array_finalize__(AR_f8), None)\n\nassert_type(f8.device, Literal["cpu"])\nassert_type(AR_f8.device, Literal["cpu"])\n\nassert_type(f8.to_device("cpu"), np.float64)\nassert_type(i8.to_device("cpu"), np.int64)\nassert_type(AR_f8.to_device("cpu"), npt.NDArray[np.float64])\nassert_type(AR_i8.to_device("cpu"), npt.NDArray[np.int64])\nassert_type(AR_u1.to_device("cpu"), npt.NDArray[np.uint8])\nassert_type(AR_c8.to_device("cpu"), npt.NDArray[np.complex64])\nassert_type(AR_m.to_device("cpu"), npt.NDArray[np.timedelta64])\n\nassert_type(f8.__array_namespace__(), ModuleType)\nassert_type(AR_f8.__array_namespace__(), ModuleType)\n\nassert_type(iter(AR_f8), Iterator[Any]) # any-D\nassert_type(iter(AR_f8_1d), Iterator[np.float64]) # 1-D\nassert_type(iter(AR_f8_2d), Iterator[npt.NDArray[np.float64]]) # 2-D\nassert_type(iter(AR_f8_3d), Iterator[npt.NDArray[np.float64]]) # 3-D\n | .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]])\nassert_type(nd.reshape(2, 2), np.ndarray[tuple[int, int], np.dtype[np.int64]])\nassert_type(nd.reshape((2, 2)), np.ndarray[tuple[int, int], np.dtype[np.int64]])\n\nassert_type(nd.reshape((2, 2), order="C"), np.ndarray[tuple[int, int], np.dtype[np.int64]])\nassert_type(nd.reshape(4, order="C"), np.ndarray[tuple[int], np.dtype[np.int64]])\n\n# resize does not return a value\n\n# transpose\nassert_type(nd.transpose(), npt.NDArray[np.int64])\nassert_type(nd.transpose(1, 0), npt.NDArray[np.int64])\nassert_type(nd.transpose((1, 0)), npt.NDArray[np.int64])\n\n# swapaxes\nassert_type(nd.swapaxes(0, 1), npt.NDArray[np.int64])\n\n# flatten\nassert_type(nd.flatten(), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(nd.flatten("C"), np.ndarray[tuple[int], np.dtype[np.int64]])\n\n# ravel\nassert_type(nd.ravel(), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(nd.ravel("C"), np.ndarray[tuple[int], np.dtype[np.int64]])\n\n# squeeze\nassert_type(nd.squeeze(), npt.NDArray[np.int64])\nassert_type(nd.squeeze(0), npt.NDArray[np.int64])\nassert_type(nd.squeeze((0, 2)), npt.NDArray[np.int64])\n | .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)\nassert_type(np.nditer([0, 1], order="C", casting="no"), np.nditer)\n\nassert_type(nditer_obj.dtypes, tuple[np.dtype, ...])\nassert_type(nditer_obj.finished, bool)\nassert_type(nditer_obj.has_delayed_bufalloc, bool)\nassert_type(nditer_obj.has_index, bool)\nassert_type(nditer_obj.has_multi_index, bool)\nassert_type(nditer_obj.index, int)\nassert_type(nditer_obj.iterationneedsapi, bool)\nassert_type(nditer_obj.iterindex, int)\nassert_type(nditer_obj.iterrange, tuple[int, ...])\nassert_type(nditer_obj.itersize, int)\nassert_type(nditer_obj.itviews, tuple[npt.NDArray[Any], ...])\nassert_type(nditer_obj.multi_index, tuple[int, ...])\nassert_type(nditer_obj.ndim, int)\nassert_type(nditer_obj.nop, int)\nassert_type(nditer_obj.operands, tuple[npt.NDArray[Any], ...])\nassert_type(nditer_obj.shape, tuple[int, ...])\nassert_type(nditer_obj.value, tuple[npt.NDArray[Any], ...])\n\nassert_type(nditer_obj.close(), None)\nassert_type(nditer_obj.copy(), np.nditer)\nassert_type(nditer_obj.debug_print(), None)\nassert_type(nditer_obj.enable_external_loop(), None)\nassert_type(nditer_obj.iternext(), bool)\nassert_type(nditer_obj.remove_axis(0), None)\nassert_type(nditer_obj.remove_multi_index(), None)\nassert_type(nditer_obj.reset(), None)\n\nassert_type(len(nditer_obj), int)\nassert_type(iter(nditer_obj), np.nditer)\nassert_type(next(nditer_obj), tuple[npt.NDArray[Any], ...])\nassert_type(nditer_obj.__copy__(), np.nditer)\nwith nditer_obj as f:\n assert_type(f, np.nditer)\nassert_type(nditer_obj[0], npt.NDArray[Any])\nassert_type(nditer_obj[:], tuple[npt.NDArray[Any], ...])\nnditer_obj[0] = 0\nnditer_obj[:] = [0, 1]\n | .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[Any]\n\ndef func(a: _NestedSequence[int]) -> None: ...\n\nassert_type(func(a), None)\nassert_type(func(b), None)\nassert_type(func(c), None)\nassert_type(func(d), None)\nassert_type(func(e), None)\nassert_type(func(f), None)\nassert_type(func(g), None)\nassert_type(func(h), None)\nassert_type(func(range(15)), None)\n | .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.npyio.NpzFile\n\nAR_i8: npt.NDArray[np.int64]\nAR_LIKE_f8: list[float]\n\nclass BytesWriter:\n def write(self, data: bytes) -> None: ...\n\nclass BytesReader:\n def read(self, n: int = ...) -> bytes: ...\n def seek(self, offset: int, whence: int = ...) -> int: ...\n\nbytes_writer: BytesWriter\nbytes_reader: BytesReader\n\nassert_type(npz_file.zip, zipfile.ZipFile)\nassert_type(npz_file.fid, IO[str] | None)\nassert_type(npz_file.files, list[str])\nassert_type(npz_file.allow_pickle, bool)\nassert_type(npz_file.pickle_kwargs, Mapping[str, Any] | None)\nassert_type(npz_file.f, BagObj[np.lib.npyio.NpzFile])\nassert_type(npz_file["test"], npt.NDArray[Any])\nassert_type(len(npz_file), int)\nwith npz_file as f:\n assert_type(f, np.lib.npyio.NpzFile)\n\nassert_type(np.load(bytes_file), Any)\nassert_type(np.load(pathlib_path, allow_pickle=True), Any)\nassert_type(np.load(str_path, encoding="bytes"), Any)\nassert_type(np.load(bytes_reader), Any)\n\nassert_type(np.save(bytes_file, AR_LIKE_f8), None)\nassert_type(np.save(pathlib_path, AR_i8, allow_pickle=True), None)\nassert_type(np.save(str_path, AR_LIKE_f8), None)\nassert_type(np.save(bytes_writer, AR_LIKE_f8), None)\n\nassert_type(np.savez(bytes_file, AR_LIKE_f8), None)\nassert_type(np.savez(pathlib_path, ar1=AR_i8, ar2=AR_i8), None)\nassert_type(np.savez(str_path, AR_LIKE_f8, ar1=AR_i8), None)\nassert_type(np.savez(bytes_writer, AR_LIKE_f8, ar1=AR_i8), None)\n\nassert_type(np.savez_compressed(bytes_file, AR_LIKE_f8), None)\nassert_type(np.savez_compressed(pathlib_path, ar1=AR_i8, ar2=AR_i8), None)\nassert_type(np.savez_compressed(str_path, AR_LIKE_f8, ar1=AR_i8), None)\nassert_type(np.savez_compressed(bytes_writer, AR_LIKE_f8, ar1=AR_i8), None)\n\nassert_type(np.loadtxt(bytes_file), npt.NDArray[np.float64])\nassert_type(np.loadtxt(pathlib_path, dtype=np.str_), npt.NDArray[np.str_])\nassert_type(np.loadtxt(str_path, dtype=str, skiprows=2), npt.NDArray[Any])\nassert_type(np.loadtxt(str_file, comments="test"), npt.NDArray[np.float64])\nassert_type(np.loadtxt(str_file, comments=None), npt.NDArray[np.float64])\nassert_type(np.loadtxt(str_path, delimiter="\n"), npt.NDArray[np.float64])\nassert_type(np.loadtxt(str_path, ndmin=2), npt.NDArray[np.float64])\nassert_type(np.loadtxt(["1", "2", "3"]), npt.NDArray[np.float64])\n\nassert_type(np.fromregex(bytes_file, "test", np.float64), npt.NDArray[np.float64])\nassert_type(np.fromregex(str_file, b"test", dtype=float), npt.NDArray[Any])\nassert_type(np.fromregex(str_path, re.compile("test"), dtype=np.str_, encoding="utf8"), npt.NDArray[np.str_])\nassert_type(np.fromregex(pathlib_path, "test", np.float64), npt.NDArray[np.float64])\nassert_type(np.fromregex(bytes_reader, "test", np.float64), npt.NDArray[np.float64])\n\nassert_type(np.genfromtxt(bytes_file), npt.NDArray[Any])\nassert_type(np.genfromtxt(pathlib_path, dtype=np.str_), npt.NDArray[np.str_])\nassert_type(np.genfromtxt(str_path, dtype=str, skip_header=2), npt.NDArray[Any])\nassert_type(np.genfromtxt(str_file, comments="test"), npt.NDArray[Any])\nassert_type(np.genfromtxt(str_path, delimiter="\n"), npt.NDArray[Any])\nassert_type(np.genfromtxt(str_path, ndmin=2), npt.NDArray[Any])\nassert_type(np.genfromtxt(["1", "2", "3"], ndmin=2), npt.NDArray[Any])\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.uint64]\nAR_i8: npt.NDArray[np.int64]\nAR_f8: npt.NDArray[np.float64]\nAR_c16: npt.NDArray[np.complex128]\nAR_m: npt.NDArray[np.timedelta64]\nAR_O: npt.NDArray[np.object_]\n\nB: list[int]\nC: SubClass\n\nassert_type(np.count_nonzero(i8), np.intp)\nassert_type(np.count_nonzero(AR_i8), np.intp)\nassert_type(np.count_nonzero(B), np.intp)\nassert_type(np.count_nonzero(AR_i8, keepdims=True), npt.NDArray[np.intp])\nassert_type(np.count_nonzero(AR_i8, axis=0), Any)\n\nassert_type(np.isfortran(i8), bool)\nassert_type(np.isfortran(AR_i8), bool)\n\nassert_type(np.argwhere(i8), npt.NDArray[np.intp])\nassert_type(np.argwhere(AR_i8), npt.NDArray[np.intp])\n\nassert_type(np.flatnonzero(i8), npt.NDArray[np.intp])\nassert_type(np.flatnonzero(AR_i8), npt.NDArray[np.intp])\n\nassert_type(np.correlate(B, AR_i8, mode="valid"), npt.NDArray[np.signedinteger])\nassert_type(np.correlate(AR_i8, AR_i8, mode="same"), npt.NDArray[np.signedinteger])\nassert_type(np.correlate(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.correlate(AR_b, AR_u8), npt.NDArray[np.unsignedinteger])\nassert_type(np.correlate(AR_i8, AR_b), npt.NDArray[np.signedinteger])\nassert_type(np.correlate(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.correlate(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.correlate(AR_i8, AR_m), npt.NDArray[np.timedelta64])\nassert_type(np.correlate(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.convolve(B, AR_i8, mode="valid"), npt.NDArray[np.signedinteger])\nassert_type(np.convolve(AR_i8, AR_i8, mode="same"), npt.NDArray[np.signedinteger])\nassert_type(np.convolve(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.convolve(AR_b, AR_u8), npt.NDArray[np.unsignedinteger])\nassert_type(np.convolve(AR_i8, AR_b), npt.NDArray[np.signedinteger])\nassert_type(np.convolve(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.convolve(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.convolve(AR_i8, AR_m), npt.NDArray[np.timedelta64])\nassert_type(np.convolve(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.outer(i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.outer(B, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.outer(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.outer(AR_i8, AR_i8, out=C), SubClass)\nassert_type(np.outer(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.outer(AR_b, AR_u8), npt.NDArray[np.unsignedinteger])\nassert_type(np.outer(AR_i8, AR_b), npt.NDArray[np.signedinteger])\nassert_type(np.convolve(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.outer(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.outer(AR_i8, AR_m), npt.NDArray[np.timedelta64])\nassert_type(np.outer(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.tensordot(B, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.tensordot(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.tensordot(AR_i8, AR_i8, axes=0), npt.NDArray[np.signedinteger])\nassert_type(np.tensordot(AR_i8, AR_i8, axes=(0, 1)), npt.NDArray[np.signedinteger])\nassert_type(np.tensordot(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.tensordot(AR_b, AR_u8), npt.NDArray[np.unsignedinteger])\nassert_type(np.tensordot(AR_i8, AR_b), npt.NDArray[np.signedinteger])\nassert_type(np.tensordot(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.tensordot(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.tensordot(AR_i8, AR_m), npt.NDArray[np.timedelta64])\nassert_type(np.tensordot(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.isscalar(i8), bool)\nassert_type(np.isscalar(AR_i8), bool)\nassert_type(np.isscalar(B), bool)\n\nassert_type(np.roll(AR_i8, 1), npt.NDArray[np.int64])\nassert_type(np.roll(AR_i8, (1, 2)), npt.NDArray[np.int64])\nassert_type(np.roll(B, 1), npt.NDArray[Any])\n\nassert_type(np.rollaxis(AR_i8, 0, 1), npt.NDArray[np.int64])\n\nassert_type(np.moveaxis(AR_i8, 0, 1), npt.NDArray[np.int64])\nassert_type(np.moveaxis(AR_i8, (0, 1), (1, 2)), npt.NDArray[np.int64])\n\nassert_type(np.cross(B, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.cross(AR_i8, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.cross(AR_b, AR_u8), npt.NDArray[np.unsignedinteger])\nassert_type(np.cross(AR_i8, AR_b), npt.NDArray[np.signedinteger])\nassert_type(np.cross(AR_i8, AR_f8), npt.NDArray[np.floating])\nassert_type(np.cross(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(np.cross(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(np.indices([0, 1, 2]), npt.NDArray[np.int_])\nassert_type(np.indices([0, 1, 2], sparse=True), tuple[npt.NDArray[np.int_], ...])\nassert_type(np.indices([0, 1, 2], dtype=np.float64), npt.NDArray[np.float64])\nassert_type(np.indices([0, 1, 2], sparse=True, dtype=np.float64), tuple[npt.NDArray[np.float64], ...])\nassert_type(np.indices([0, 1, 2], dtype=float), npt.NDArray[Any])\nassert_type(np.indices([0, 1, 2], sparse=True, dtype=float), tuple[npt.NDArray[Any], ...])\n\nassert_type(np.binary_repr(1), str)\n\nassert_type(np.base_repr(1), str)\n\nassert_type(np.allclose(i8, AR_i8), bool)\nassert_type(np.allclose(B, AR_i8), bool)\nassert_type(np.allclose(AR_i8, AR_i8), bool)\n\nassert_type(np.isclose(i8, i8), np.bool)\nassert_type(np.isclose(i8, AR_i8), npt.NDArray[np.bool])\nassert_type(np.isclose(B, AR_i8), npt.NDArray[np.bool])\nassert_type(np.isclose(AR_i8, AR_i8), npt.NDArray[np.bool])\n\nassert_type(np.array_equal(i8, AR_i8), bool)\nassert_type(np.array_equal(B, AR_i8), bool)\nassert_type(np.array_equal(AR_i8, AR_i8), bool)\n\nassert_type(np.array_equiv(i8, AR_i8), bool)\nassert_type(np.array_equiv(B, AR_i8), bool)\nassert_type(np.array_equiv(AR_i8, AR_i8), bool)\n | .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 type[np.cdouble],\n type[np.clongdouble],\n type[np.half],\n type[np.single],\n type[np.double],\n type[np.longdouble],\n type[np.byte],\n type[np.short],\n type[np.intc],\n type[np.long],\n type[np.longlong],\n type[np.timedelta64],\n type[np.datetime64],\n type[np.object_],\n type[np.bytes_],\n type[np.str_],\n type[np.ubyte],\n type[np.ushort],\n type[np.uintc],\n type[np.ulong],\n type[np.ulonglong],\n type[np.void],\n ],\n)\nassert_type(np.ScalarType[0], type[int])\nassert_type(np.ScalarType[3], type[bool])\nassert_type(np.ScalarType[8], type[np.csingle])\nassert_type(np.ScalarType[10], type[np.clongdouble])\nassert_type(np.bool_(object()), np.bool)\n\nassert_type(np.typecodes["Character"], Literal["c"])\nassert_type(np.typecodes["Complex"], Literal["FDG"])\nassert_type(np.typecodes["All"], Literal["?bhilqnpBHILQNPefdgFDGSUVOMm"])\n\nassert_type(np.sctypeDict['uint8'], type[np.generic])\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[np.inexact | np.object_]\n_Ar_f: TypeAlias = npt.NDArray[np.floating]\n_Ar_c: TypeAlias = npt.NDArray[np.complexfloating]\n_Ar_O: TypeAlias = npt.NDArray[np.object_]\n\n_Ar_x_n: TypeAlias = np.ndarray[tuple[int], np.dtype[np.inexact | np.object_]]\n_Ar_f_n: TypeAlias = np.ndarray[tuple[int], np.dtype[np.floating]]\n_Ar_c_n: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complexfloating]]\n_Ar_O_n: TypeAlias = np.ndarray[tuple[int], np.dtype[np.object_]]\n\n_Ar_x_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.inexact | np.object_]]\n_Ar_f_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.floating]]\n_Ar_c_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.complexfloating]]\n_Ar_O_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.object_]]\n\n_ScalarT = TypeVar("_ScalarT", bound=np.generic)\n_Ar_1d: TypeAlias = np.ndarray[tuple[int], np.dtype[_ScalarT]]\n\n_BasisName: TypeAlias = L["X"]\n\nSC_i: np.int_\nSC_i_co: int | np.int_\nSC_f: np.float64\nSC_f_co: float | np.float64 | np.int_\nSC_c: np.complex128\nSC_c_co: complex | np.complex128\nSC_O: Decimal\n\nAR_i: npt.NDArray[np.int_]\nAR_f: npt.NDArray[np.float64]\nAR_f_co: npt.NDArray[np.float64] | npt.NDArray[np.int_]\nAR_c: npt.NDArray[np.complex128]\nAR_c_co: npt.NDArray[np.complex128] | npt.NDArray[np.float64] | npt.NDArray[np.int_]\nAR_O: npt.NDArray[np.object_]\nAR_O_co: npt.NDArray[np.object_ | np.number]\n\nSQ_i: Sequence[int]\nSQ_f: Sequence[float]\nSQ_c: Sequence[complex]\nSQ_O: Sequence[Decimal]\n\nPS_poly: npp.Polynomial\nPS_cheb: npp.Chebyshev\nPS_herm: npp.Hermite\nPS_herme: npp.HermiteE\nPS_lag: npp.Laguerre\nPS_leg: npp.Legendre\nPS_all: (\n npp.Polynomial\n | npp.Chebyshev\n | npp.Hermite\n | npp.HermiteE\n | npp.Laguerre\n | npp.Legendre\n)\n\n# static- and classmethods\n\nassert_type(type(PS_poly).basis_name, None)\nassert_type(type(PS_cheb).basis_name, L['T'])\nassert_type(type(PS_herm).basis_name, L['H'])\nassert_type(type(PS_herme).basis_name, L['He'])\nassert_type(type(PS_lag).basis_name, L['L'])\nassert_type(type(PS_leg).basis_name, L['P'])\n\nassert_type(type(PS_all).__hash__, None)\nassert_type(type(PS_all).__array_ufunc__, None)\nassert_type(type(PS_all).maxpower, L[100])\n\nassert_type(type(PS_poly).fromroots(SC_i), npp.Polynomial)\nassert_type(type(PS_poly).fromroots(SQ_i), npp.Polynomial)\nassert_type(type(PS_poly).fromroots(AR_i), npp.Polynomial)\nassert_type(type(PS_cheb).fromroots(SC_f), npp.Chebyshev)\nassert_type(type(PS_cheb).fromroots(SQ_f), npp.Chebyshev)\nassert_type(type(PS_cheb).fromroots(AR_f_co), npp.Chebyshev)\nassert_type(type(PS_herm).fromroots(SC_c), npp.Hermite)\nassert_type(type(PS_herm).fromroots(SQ_c), npp.Hermite)\nassert_type(type(PS_herm).fromroots(AR_c_co), npp.Hermite)\nassert_type(type(PS_leg).fromroots(SC_O), npp.Legendre)\nassert_type(type(PS_leg).fromroots(SQ_O), npp.Legendre)\nassert_type(type(PS_leg).fromroots(AR_O_co), npp.Legendre)\n\nassert_type(type(PS_poly).identity(), npp.Polynomial)\nassert_type(type(PS_cheb).identity(symbol='z'), npp.Chebyshev)\n\nassert_type(type(PS_lag).basis(SC_i), npp.Laguerre)\nassert_type(type(PS_leg).basis(32, symbol='u'), npp.Legendre)\n\nassert_type(type(PS_herm).cast(PS_poly), npp.Hermite)\nassert_type(type(PS_herme).cast(PS_leg), npp.HermiteE)\n\n# attributes / properties\n\nassert_type(PS_all.coef, _Ar_x_n)\nassert_type(PS_all.domain, _Ar_x_2)\nassert_type(PS_all.window, _Ar_x_2)\nassert_type(PS_all.symbol, LiteralString)\n\n# instance methods\n\nassert_type(PS_all.has_samecoef(PS_all), bool)\nassert_type(PS_all.has_samedomain(PS_all), bool)\nassert_type(PS_all.has_samewindow(PS_all), bool)\nassert_type(PS_all.has_sametype(PS_all), bool)\nassert_type(PS_poly.has_sametype(PS_poly), bool)\nassert_type(PS_poly.has_sametype(PS_leg), bool)\nassert_type(PS_poly.has_sametype(NotADirectoryError), L[False])\n\nassert_type(PS_poly.copy(), npp.Polynomial)\nassert_type(PS_cheb.copy(), npp.Chebyshev)\nassert_type(PS_herm.copy(), npp.Hermite)\nassert_type(PS_herme.copy(), npp.HermiteE)\nassert_type(PS_lag.copy(), npp.Laguerre)\nassert_type(PS_leg.copy(), npp.Legendre)\n\nassert_type(PS_leg.cutdeg(), npp.Legendre)\nassert_type(PS_leg.trim(), npp.Legendre)\nassert_type(PS_leg.trim(tol=SC_f_co), npp.Legendre)\nassert_type(PS_leg.truncate(SC_i_co), npp.Legendre)\n\nassert_type(PS_all.convert(None, npp.Chebyshev), npp.Chebyshev)\nassert_type(PS_all.convert((0, 1), npp.Laguerre), npp.Laguerre)\nassert_type(PS_all.convert([0, 1], npp.Hermite, [-1, 1]), npp.Hermite)\n\nassert_type(PS_all.degree(), int)\nassert_type(PS_all.mapparms(), tuple[Any, Any])\n\nassert_type(PS_poly.integ(), npp.Polynomial)\nassert_type(PS_herme.integ(SC_i_co), npp.HermiteE)\nassert_type(PS_lag.integ(SC_i_co, SC_f_co), npp.Laguerre)\nassert_type(PS_poly.deriv(), npp.Polynomial)\nassert_type(PS_herm.deriv(SC_i_co), npp.Hermite)\n\nassert_type(PS_poly.roots(), _Ar_x_n)\n\nassert_type(\n PS_poly.linspace(),\n tuple[_Ar_1d[np.float64 | np.complex128], _Ar_1d[np.float64 | np.complex128]],\n)\n\nassert_type(\n PS_poly.linspace(9),\n tuple[_Ar_1d[np.float64 | np.complex128], _Ar_1d[np.float64 | np.complex128]],\n)\n\nassert_type(PS_cheb.fit(AR_c_co, AR_c_co, SC_i_co), npp.Chebyshev)\nassert_type(PS_leg.fit(AR_c_co, AR_c_co, AR_i), npp.Legendre)\nassert_type(PS_herm.fit(AR_c_co, AR_c_co, SQ_i), npp.Hermite)\nassert_type(PS_poly.fit(AR_c_co, SQ_c, SQ_i), npp.Polynomial)\nassert_type(PS_lag.fit(SQ_c, SQ_c, SQ_i, full=False), npp.Laguerre)\nassert_type(\n PS_herme.fit(SQ_c, AR_c_co, SC_i_co, full=True),\n tuple[npp.HermiteE, Sequence[np.inexact | np.int32]],\n)\n\n# custom operations\n\nassert_type(PS_all.__hash__, None)\nassert_type(PS_all.__array_ufunc__, None)\n\nassert_type(str(PS_all), str)\nassert_type(repr(PS_all), str)\nassert_type(format(PS_all), str)\n\nassert_type(len(PS_all), int)\nassert_type(next(iter(PS_all)), np.inexact | object)\n\nassert_type(PS_all(SC_f_co), np.float64 | np.complex128)\nassert_type(PS_all(SC_c_co), np.complex128)\nassert_type(PS_all(Decimal()), np.float64 | np.complex128)\nassert_type(PS_all(Fraction()), np.float64 | np.complex128)\nassert_type(PS_poly(SQ_f), npt.NDArray[np.float64] | npt.NDArray[np.complex128] | npt.NDArray[np.object_])\nassert_type(PS_poly(SQ_c), npt.NDArray[np.complex128] | npt.NDArray[np.object_])\nassert_type(PS_poly(SQ_O), npt.NDArray[np.object_])\nassert_type(PS_poly(AR_f), npt.NDArray[np.float64] | npt.NDArray[np.complex128] | npt.NDArray[np.object_])\nassert_type(PS_poly(AR_c), npt.NDArray[np.complex128] | npt.NDArray[np.object_])\nassert_type(PS_poly(AR_O), npt.NDArray[np.object_])\nassert_type(PS_all(PS_poly), npp.Polynomial)\n\nassert_type(PS_poly == PS_poly, bool)\nassert_type(PS_poly != PS_poly, bool)\n\nassert_type(-PS_poly, npp.Polynomial)\nassert_type(+PS_poly, npp.Polynomial)\n\nassert_type(PS_poly + 5, npp.Polynomial)\nassert_type(PS_poly - 5, npp.Polynomial)\nassert_type(PS_poly * 5, npp.Polynomial)\nassert_type(PS_poly / 5, npp.Polynomial)\nassert_type(PS_poly // 5, npp.Polynomial)\nassert_type(PS_poly % 5, npp.Polynomial)\n\nassert_type(PS_poly + PS_leg, npp.Polynomial)\nassert_type(PS_poly - PS_leg, npp.Polynomial)\nassert_type(PS_poly * PS_leg, npp.Polynomial)\nassert_type(PS_poly / PS_leg, npp.Polynomial)\nassert_type(PS_poly // PS_leg, npp.Polynomial)\nassert_type(PS_poly % PS_leg, npp.Polynomial)\n\nassert_type(5 + PS_poly, npp.Polynomial)\nassert_type(5 - PS_poly, npp.Polynomial)\nassert_type(5 * PS_poly, npp.Polynomial)\nassert_type(5 / PS_poly, npp.Polynomial)\nassert_type(5 // PS_poly, npp.Polynomial)\nassert_type(5 % PS_poly, npp.Polynomial)\nassert_type(divmod(PS_poly, 5), tuple[npp.Polynomial, npp.Polynomial])\nassert_type(divmod(5, PS_poly), tuple[npp.Polynomial, npp.Polynomial])\n\nassert_type(PS_poly**1, npp.Polynomial)\nassert_type(PS_poly**1.0, npp.Polynomial)\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\n_ArrFloat1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.floating]]\n_ArrComplex1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complexfloating]]\n_ArrObject1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.object_]]\n\n_ArrFloat1D_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.float64]]\n_ArrComplex1D_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.complex128]]\n_ArrObject1D_2: TypeAlias = np.ndarray[tuple[L[2]], np.dtype[np.object_]]\n\nnum_int: int\nnum_float: float\nnum_complex: complex\n# will result in an `object_` dtype\nnum_object: Decimal | Fraction\n\nsct_int: np.int_\nsct_float: np.float64\nsct_complex: np.complex128\nsct_object: np.object_ # doesn't exist at runtime\n\narr_int: npt.NDArray[np.int_]\narr_float: npt.NDArray[np.float64]\narr_complex: npt.NDArray[np.complex128]\narr_object: npt.NDArray[np.object_]\n\nseq_num_int: Sequence[int]\nseq_num_float: Sequence[float]\nseq_num_complex: Sequence[complex]\nseq_num_object: Sequence[Decimal | Fraction]\n\nseq_sct_int: Sequence[np.int_]\nseq_sct_float: Sequence[np.float64]\nseq_sct_complex: Sequence[np.complex128]\nseq_sct_object: Sequence[np.object_]\n\nseq_arr_int: Sequence[npt.NDArray[np.int_]]\nseq_arr_float: Sequence[npt.NDArray[np.float64]]\nseq_arr_complex: Sequence[npt.NDArray[np.complex128]]\nseq_arr_object: Sequence[npt.NDArray[np.object_]]\n\nseq_seq_num_int: Sequence[Sequence[int]]\nseq_seq_num_float: Sequence[Sequence[float]]\nseq_seq_num_complex: Sequence[Sequence[complex]]\nseq_seq_num_object: Sequence[Sequence[Decimal | Fraction]]\n\nseq_seq_sct_int: Sequence[Sequence[np.int_]]\nseq_seq_sct_float: Sequence[Sequence[np.float64]]\nseq_seq_sct_complex: Sequence[Sequence[np.complex128]]\nseq_seq_sct_object: Sequence[Sequence[np.object_]] # doesn't exist at runtime\n\n# as_series\n\nassert_type(pu.as_series(arr_int), list[_ArrFloat1D])\nassert_type(pu.as_series(arr_float), list[_ArrFloat1D])\nassert_type(pu.as_series(arr_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(arr_object), list[_ArrObject1D])\n\nassert_type(pu.as_series(seq_num_int), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_num_float), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_num_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(seq_num_object), list[_ArrObject1D])\n\nassert_type(pu.as_series(seq_sct_int), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_sct_float), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_sct_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(seq_sct_object), list[_ArrObject1D])\n\nassert_type(pu.as_series(seq_arr_int), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_arr_float), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_arr_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(seq_arr_object), list[_ArrObject1D])\n\nassert_type(pu.as_series(seq_seq_num_int), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_seq_num_float), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_seq_num_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(seq_seq_num_object), list[_ArrObject1D])\n\nassert_type(pu.as_series(seq_seq_sct_int), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_seq_sct_float), list[_ArrFloat1D])\nassert_type(pu.as_series(seq_seq_sct_complex), list[_ArrComplex1D])\nassert_type(pu.as_series(seq_seq_sct_object), list[_ArrObject1D])\n\n# trimcoef\n\nassert_type(pu.trimcoef(num_int), _ArrFloat1D)\nassert_type(pu.trimcoef(num_float), _ArrFloat1D)\nassert_type(pu.trimcoef(num_complex), _ArrComplex1D)\nassert_type(pu.trimcoef(num_object), _ArrObject1D)\nassert_type(pu.trimcoef(num_object), _ArrObject1D)\n\nassert_type(pu.trimcoef(sct_int), _ArrFloat1D)\nassert_type(pu.trimcoef(sct_float), _ArrFloat1D)\nassert_type(pu.trimcoef(sct_complex), _ArrComplex1D)\nassert_type(pu.trimcoef(sct_object), _ArrObject1D)\n\nassert_type(pu.trimcoef(arr_int), _ArrFloat1D)\nassert_type(pu.trimcoef(arr_float), _ArrFloat1D)\nassert_type(pu.trimcoef(arr_complex), _ArrComplex1D)\nassert_type(pu.trimcoef(arr_object), _ArrObject1D)\n\nassert_type(pu.trimcoef(seq_num_int), _ArrFloat1D)\nassert_type(pu.trimcoef(seq_num_float), _ArrFloat1D)\nassert_type(pu.trimcoef(seq_num_complex), _ArrComplex1D)\nassert_type(pu.trimcoef(seq_num_object), _ArrObject1D)\n\nassert_type(pu.trimcoef(seq_sct_int), _ArrFloat1D)\nassert_type(pu.trimcoef(seq_sct_float), _ArrFloat1D)\nassert_type(pu.trimcoef(seq_sct_complex), _ArrComplex1D)\nassert_type(pu.trimcoef(seq_sct_object), _ArrObject1D)\n\n# getdomain\n\nassert_type(pu.getdomain(num_int), _ArrFloat1D_2)\nassert_type(pu.getdomain(num_float), _ArrFloat1D_2)\nassert_type(pu.getdomain(num_complex), _ArrComplex1D_2)\nassert_type(pu.getdomain(num_object), _ArrObject1D_2)\nassert_type(pu.getdomain(num_object), _ArrObject1D_2)\n\nassert_type(pu.getdomain(sct_int), _ArrFloat1D_2)\nassert_type(pu.getdomain(sct_float), _ArrFloat1D_2)\nassert_type(pu.getdomain(sct_complex), _ArrComplex1D_2)\nassert_type(pu.getdomain(sct_object), _ArrObject1D_2)\n\nassert_type(pu.getdomain(arr_int), _ArrFloat1D_2)\nassert_type(pu.getdomain(arr_float), _ArrFloat1D_2)\nassert_type(pu.getdomain(arr_complex), _ArrComplex1D_2)\nassert_type(pu.getdomain(arr_object), _ArrObject1D_2)\n\nassert_type(pu.getdomain(seq_num_int), _ArrFloat1D_2)\nassert_type(pu.getdomain(seq_num_float), _ArrFloat1D_2)\nassert_type(pu.getdomain(seq_num_complex), _ArrComplex1D_2)\nassert_type(pu.getdomain(seq_num_object), _ArrObject1D_2)\n\nassert_type(pu.getdomain(seq_sct_int), _ArrFloat1D_2)\nassert_type(pu.getdomain(seq_sct_float), _ArrFloat1D_2)\nassert_type(pu.getdomain(seq_sct_complex), _ArrComplex1D_2)\nassert_type(pu.getdomain(seq_sct_object), _ArrObject1D_2)\n\n# mapparms\n\nassert_type(pu.mapparms(seq_num_int, seq_num_int), _Tuple2[float])\nassert_type(pu.mapparms(seq_num_int, seq_num_float), _Tuple2[float])\nassert_type(pu.mapparms(seq_num_float, seq_num_float), _Tuple2[float])\nassert_type(pu.mapparms(seq_num_float, seq_num_complex), _Tuple2[complex])\nassert_type(pu.mapparms(seq_num_complex, seq_num_complex), _Tuple2[complex])\nassert_type(pu.mapparms(seq_num_complex, seq_num_object), _Tuple2[object])\nassert_type(pu.mapparms(seq_num_object, seq_num_object), _Tuple2[object])\n\nassert_type(pu.mapparms(seq_sct_int, seq_sct_int), _Tuple2[np.floating])\nassert_type(pu.mapparms(seq_sct_int, seq_sct_float), _Tuple2[np.floating])\nassert_type(pu.mapparms(seq_sct_float, seq_sct_float), _Tuple2[float])\nassert_type(pu.mapparms(seq_sct_float, seq_sct_complex), _Tuple2[complex])\nassert_type(pu.mapparms(seq_sct_complex, seq_sct_complex), _Tuple2[complex])\nassert_type(pu.mapparms(seq_sct_complex, seq_sct_object), _Tuple2[object])\nassert_type(pu.mapparms(seq_sct_object, seq_sct_object), _Tuple2[object])\n\nassert_type(pu.mapparms(arr_int, arr_int), _Tuple2[np.floating])\nassert_type(pu.mapparms(arr_int, arr_float), _Tuple2[np.floating])\nassert_type(pu.mapparms(arr_float, arr_float), _Tuple2[np.floating])\nassert_type(pu.mapparms(arr_float, arr_complex), _Tuple2[np.complexfloating])\nassert_type(pu.mapparms(arr_complex, arr_complex), _Tuple2[np.complexfloating])\nassert_type(pu.mapparms(arr_complex, arr_object), _Tuple2[object])\nassert_type(pu.mapparms(arr_object, arr_object), _Tuple2[object])\n\n# mapdomain\n\nassert_type(pu.mapdomain(num_int, seq_num_int, seq_num_int), np.floating)\nassert_type(pu.mapdomain(num_int, seq_num_int, seq_num_float), np.floating)\nassert_type(pu.mapdomain(num_int, seq_num_float, seq_num_float), np.floating)\nassert_type(pu.mapdomain(num_float, seq_num_float, seq_num_float), np.floating)\nassert_type(pu.mapdomain(num_float, seq_num_float, seq_num_complex), np.complexfloating)\nassert_type(pu.mapdomain(num_float, seq_num_complex, seq_num_complex), np.complexfloating)\nassert_type(pu.mapdomain(num_complex, seq_num_complex, seq_num_complex), np.complexfloating)\nassert_type(pu.mapdomain(num_complex, seq_num_complex, seq_num_object), object)\nassert_type(pu.mapdomain(num_complex, seq_num_object, seq_num_object), object)\nassert_type(pu.mapdomain(num_object, seq_num_object, seq_num_object), object)\n\nassert_type(pu.mapdomain(seq_num_int, seq_num_int, seq_num_int), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_num_int, seq_num_int, seq_num_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_num_int, seq_num_float, seq_num_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_num_float, seq_num_float, seq_num_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_num_float, seq_num_float, seq_num_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_num_float, seq_num_complex, seq_num_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_num_complex, seq_num_complex, seq_num_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_num_complex, seq_num_complex, seq_num_object), _ArrObject1D)\nassert_type(pu.mapdomain(seq_num_complex, seq_num_object, seq_num_object), _ArrObject1D)\nassert_type(pu.mapdomain(seq_num_object, seq_num_object, seq_num_object), _ArrObject1D)\n\nassert_type(pu.mapdomain(seq_sct_int, seq_sct_int, seq_sct_int), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_sct_int, seq_sct_int, seq_sct_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_sct_int, seq_sct_float, seq_sct_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_sct_float, seq_sct_float, seq_sct_float), _ArrFloat1D)\nassert_type(pu.mapdomain(seq_sct_float, seq_sct_float, seq_sct_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_sct_float, seq_sct_complex, seq_sct_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_sct_complex, seq_sct_complex, seq_sct_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(seq_sct_complex, seq_sct_complex, seq_sct_object), _ArrObject1D)\nassert_type(pu.mapdomain(seq_sct_complex, seq_sct_object, seq_sct_object), _ArrObject1D)\nassert_type(pu.mapdomain(seq_sct_object, seq_sct_object, seq_sct_object), _ArrObject1D)\n\nassert_type(pu.mapdomain(arr_int, arr_int, arr_int), _ArrFloat1D)\nassert_type(pu.mapdomain(arr_int, arr_int, arr_float), _ArrFloat1D)\nassert_type(pu.mapdomain(arr_int, arr_float, arr_float), _ArrFloat1D)\nassert_type(pu.mapdomain(arr_float, arr_float, arr_float), _ArrFloat1D)\nassert_type(pu.mapdomain(arr_float, arr_float, arr_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(arr_float, arr_complex, arr_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(arr_complex, arr_complex, arr_complex), _ArrComplex1D)\nassert_type(pu.mapdomain(arr_complex, arr_complex, arr_object), _ArrObject1D)\nassert_type(pu.mapdomain(arr_complex, arr_object, arr_object), _ArrObject1D)\nassert_type(pu.mapdomain(arr_object, arr_object, arr_object), _ArrObject1D)\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_ArrComplex1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complexfloating]]\n_ArrComplex1D128: TypeAlias = np.ndarray[tuple[int], np.dtype[np.complex128]]\n_ArrObject1D: TypeAlias = np.ndarray[tuple[int], np.dtype[np.object_]]\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.object_]\n\nPS_poly: npp.Polynomial\nPS_cheb: npp.Chebyshev\n\nassert_type(npp.polynomial.polyroots(AR_f8), _ArrFloat1D64)\nassert_type(npp.polynomial.polyroots(AR_c16), _ArrComplex1D128)\nassert_type(npp.polynomial.polyroots(AR_O), _ArrObject1D)\n\nassert_type(npp.polynomial.polyfromroots(AR_f8), _ArrFloat1D)\nassert_type(npp.polynomial.polyfromroots(AR_c16), _ArrComplex1D)\nassert_type(npp.polynomial.polyfromroots(AR_O), _ArrObject1D)\n\n# assert_type(npp.polynomial.polyadd(AR_b, AR_b), NoReturn)\nassert_type(npp.polynomial.polyadd(AR_u4, AR_b), _ArrFloat1D)\nassert_type(npp.polynomial.polyadd(AR_i8, AR_i8), _ArrFloat1D)\nassert_type(npp.polynomial.polyadd(AR_f8, AR_i8), _ArrFloat1D)\nassert_type(npp.polynomial.polyadd(AR_i8, AR_c16), _ArrComplex1D)\nassert_type(npp.polynomial.polyadd(AR_O, AR_O), _ArrObject1D)\n\nassert_type(npp.polynomial.polymulx(AR_u4), _ArrFloat1D)\nassert_type(npp.polynomial.polymulx(AR_i8), _ArrFloat1D)\nassert_type(npp.polynomial.polymulx(AR_f8), _ArrFloat1D)\nassert_type(npp.polynomial.polymulx(AR_c16), _ArrComplex1D)\nassert_type(npp.polynomial.polymulx(AR_O), _ArrObject1D)\n\nassert_type(npp.polynomial.polypow(AR_u4, 2), _ArrFloat1D)\nassert_type(npp.polynomial.polypow(AR_i8, 2), _ArrFloat1D)\nassert_type(npp.polynomial.polypow(AR_f8, 2), _ArrFloat1D)\nassert_type(npp.polynomial.polypow(AR_c16, 2), _ArrComplex1D)\nassert_type(npp.polynomial.polypow(AR_O, 2), _ArrObject1D)\n\n# assert_type(npp.polynomial.polyder(PS_poly), npt.NDArray[np.object_])\nassert_type(npp.polynomial.polyder(AR_f8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyder(AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyder(AR_O, m=2), npt.NDArray[np.object_])\n\n# assert_type(npp.polynomial.polyint(PS_poly), npt.NDArray[np.object_])\nassert_type(npp.polynomial.polyint(AR_f8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyint(AR_f8, k=AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyint(AR_O, m=2), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyval(AR_b, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval(AR_u4, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval(AR_i8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyval(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyval2d(AR_b, AR_b, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval2d(AR_u4, AR_u4, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval2d(AR_i8, AR_i8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval2d(AR_f8, AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval2d(AR_i8, AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyval2d(AR_O, AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyval3d(AR_b, AR_b, AR_b, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval3d(AR_u4, AR_u4, AR_u4, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval3d(AR_i8, AR_i8, AR_i8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval3d(AR_f8, AR_f8, AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyval3d(AR_i8, AR_i8, AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyval3d(AR_O, AR_O, AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyvalfromroots(AR_b, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvalfromroots(AR_u4, AR_b), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvalfromroots(AR_i8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvalfromroots(AR_f8, AR_i8), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvalfromroots(AR_i8, AR_c16), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyvalfromroots(AR_O, AR_O), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyvander(AR_f8, 3), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvander(AR_c16, 3), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyvander(AR_O, 3), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyvander2d(AR_f8, AR_f8, [4, 2]), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvander2d(AR_c16, AR_c16, [4, 2]), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyvander2d(AR_O, AR_O, [4, 2]), npt.NDArray[np.object_])\n\nassert_type(npp.polynomial.polyvander3d(AR_f8, AR_f8, AR_f8, [4, 3, 2]), npt.NDArray[np.floating])\nassert_type(npp.polynomial.polyvander3d(AR_c16, AR_c16, AR_c16, [4, 3, 2]), npt.NDArray[np.complexfloating])\nassert_type(npp.polynomial.polyvander3d(AR_O, AR_O, AR_O, [4, 3, 2]), npt.NDArray[np.object_])\n\nassert_type(\n npp.polynomial.polyfit(AR_f8, AR_f8, 2),\n npt.NDArray[np.floating],\n)\nassert_type(\n npp.polynomial.polyfit(AR_f8, AR_i8, 1, full=True),\n tuple[npt.NDArray[np.floating], Sequence[np.inexact | np.int32]],\n)\nassert_type(\n npp.polynomial.polyfit(AR_c16, AR_f8, 2),\n npt.NDArray[np.complexfloating],\n)\nassert_type(\n npp.polynomial.polyfit(AR_f8, AR_c16, 1, full=True)[0],\n npt.NDArray[np.complexfloating],\n)\n\nassert_type(npp.chebyshev.chebgauss(2), tuple[_ArrFloat1D64, _ArrFloat1D64])\n\nassert_type(npp.chebyshev.chebweight(AR_f8), npt.NDArray[np.float64])\nassert_type(npp.chebyshev.chebweight(AR_c16), npt.NDArray[np.complex128])\nassert_type(npp.chebyshev.chebweight(AR_O), npt.NDArray[np.object_])\n\nassert_type(npp.chebyshev.poly2cheb(AR_f8), _ArrFloat1D)\nassert_type(npp.chebyshev.poly2cheb(AR_c16), _ArrComplex1D)\nassert_type(npp.chebyshev.poly2cheb(AR_O), _ArrObject1D)\n\nassert_type(npp.chebyshev.cheb2poly(AR_f8), _ArrFloat1D)\nassert_type(npp.chebyshev.cheb2poly(AR_c16), _ArrComplex1D)\nassert_type(npp.chebyshev.cheb2poly(AR_O), _ArrObject1D)\n\nassert_type(npp.chebyshev.chebpts1(6), _ArrFloat1D64)\nassert_type(npp.chebyshev.chebpts2(6), _ArrFloat1D64)\n\nassert_type(\n npp.chebyshev.chebinterpolate(np.tanh, 3),\n npt.NDArray[np.float64 | np.complex128 | np.object_],\n)\n | .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.BufferedIOBase\n\nassert_type(np.rec.format_parser(\n formats=[np.float64, np.int64, np.bool],\n names=["f8", "i8", "?"],\n titles=None,\n aligned=True,\n), np.rec.format_parser)\nassert_type(np.rec.format_parser.dtype, np.dtype[np.void])\n\nassert_type(record.field_a, Any)\nassert_type(record.field_b, Any)\nassert_type(record["field_a"], Any)\nassert_type(record["field_b"], Any)\nassert_type(record.pprint(), str)\nrecord.field_c = 5\n\nassert_type(REC_AR_V.field(0), Any)\nassert_type(REC_AR_V.field("field_a"), Any)\nassert_type(REC_AR_V.field(0, AR_i8), None)\nassert_type(REC_AR_V.field("field_a", AR_i8), None)\nassert_type(REC_AR_V["field_a"], npt.NDArray[Any])\nassert_type(REC_AR_V.field_a, Any)\nassert_type(REC_AR_V.__array_finalize__(object()), None)\n\nassert_type(\n np.recarray(\n shape=(10, 5),\n formats=[np.float64, np.int64, np.bool],\n order="K",\n byteorder="|",\n ),\n _RecArray,\n)\n\nassert_type(\n np.recarray(\n shape=(10, 5),\n dtype=[("f8", np.float64), ("i8", np.int64)],\n strides=(5, 5),\n ),\n np.recarray,\n)\n\nassert_type(np.rec.fromarrays(AR_LIST), np.recarray)\nassert_type(\n np.rec.fromarrays(AR_LIST, dtype=np.int64),\n np.recarray,\n)\nassert_type(\n np.rec.fromarrays(\n AR_LIST,\n formats=[np.int64, np.float64],\n names=["i8", "f8"]\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.fromrecords((1, 1.5)),\n _RecArray\n)\n\nassert_type(\n np.rec.fromrecords(\n [(1, 1.5)],\n dtype=[("i8", np.int64), ("f8", np.float64)],\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.fromrecords(\n REC_AR_V,\n formats=[np.int64, np.float64],\n names=["i8", "f8"]\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.fromstring(\n b"(1, 1.5)",\n dtype=[("i8", np.int64), ("f8", np.float64)],\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.fromstring(\n REC_AR_V,\n formats=[np.int64, np.float64],\n names=["i8", "f8"]\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.fromfile(\n "test_file.txt",\n dtype=[("i8", np.int64), ("f8", np.float64)],\n ),\n np.recarray,\n)\n\nassert_type(\n np.rec.fromfile(\n file_obj,\n formats=[np.int64, np.float64],\n names=["i8", "f8"]\n ),\n _RecArray,\n)\n\nassert_type(np.rec.array(AR_i8), np.recarray[tuple[Any, ...], np.dtype[np.int64]])\n\nassert_type(\n np.rec.array([(1, 1.5)], dtype=[("i8", np.int64), ("f8", np.float64)]),\n np.recarray,\n)\n\nassert_type(\n np.rec.array(\n [(1, 1.5)],\n formats=[np.int64, np.float64],\n names=["i8", "f8"]\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.array(\n None,\n dtype=np.float64,\n shape=(10, 3),\n ),\n np.recarray,\n)\n\nassert_type(\n np.rec.array(\n None,\n formats=[np.int64, np.float64],\n names=["i8", "f8"],\n shape=(10, 3),\n ),\n _RecArray,\n)\n\nassert_type(\n np.rec.array(file_obj, dtype=np.float64),\n np.recarray,\n)\n\nassert_type(\n np.rec.array(file_obj, formats=[np.int64, np.float64], names=["i8", "f8"]),\n _RecArray,\n)\n | .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.ndarray[Any, Any]\narray_0d: np.ndarray[tuple[()], Any]\narray_2d_2x2: np.ndarray[tuple[Literal[2], Literal[2]], Any]\n\nassert_type(c8.real, np.float32)\nassert_type(c8.imag, np.float32)\n\nassert_type(c8.real.real, np.float32)\nassert_type(c8.real.imag, np.float32)\n\nassert_type(c8.itemsize, int)\nassert_type(c8.shape, tuple[()])\nassert_type(c8.strides, tuple[()])\n\nassert_type(c8.ndim, Literal[0])\nassert_type(c8.size, Literal[1])\n\nassert_type(c8.squeeze(), np.complex64)\nassert_type(c8.byteswap(), np.complex64)\nassert_type(c8.transpose(), np.complex64)\n\nassert_type(c8.dtype, np.dtype[np.complex64])\n\nassert_type(c8.real, np.float32)\nassert_type(c16.imag, np.float64)\n\nassert_type(np.str_('foo'), np.str_)\n\nassert_type(V[0], Any)\nassert_type(V["field1"], Any)\nassert_type(V[["field1", "field2"]], np.void)\nV[0] = 5\n\n# Aliases\nassert_type(np.bool_(), np.bool[Literal[False]])\nassert_type(np.byte(), np.byte)\nassert_type(np.short(), np.short)\nassert_type(np.intc(), np.intc)\nassert_type(np.intp(), np.intp)\nassert_type(np.int_(), np.int_)\nassert_type(np.long(), np.long)\nassert_type(np.longlong(), np.longlong)\n\nassert_type(np.ubyte(), np.ubyte)\nassert_type(np.ushort(), np.ushort)\nassert_type(np.uintc(), np.uintc)\nassert_type(np.uintp(), np.uintp)\nassert_type(np.uint(), np.uint)\nassert_type(np.ulong(), np.ulong)\nassert_type(np.ulonglong(), np.ulonglong)\n\nassert_type(np.half(), np.half)\nassert_type(np.single(), np.single)\nassert_type(np.double(), np.double)\nassert_type(np.longdouble(), np.longdouble)\n\nassert_type(np.csingle(), np.csingle)\nassert_type(np.cdouble(), np.cdouble)\nassert_type(np.clongdouble(), np.clongdouble)\n\nassert_type(b.item(), bool)\nassert_type(i8.item(), int)\nassert_type(u8.item(), int)\nassert_type(f8.item(), float)\nassert_type(c16.item(), complex)\nassert_type(U.item(), str)\nassert_type(S.item(), bytes)\n\nassert_type(b.tolist(), bool)\nassert_type(i8.tolist(), int)\nassert_type(u8.tolist(), int)\nassert_type(f8.tolist(), float)\nassert_type(c16.tolist(), complex)\nassert_type(U.tolist(), str)\nassert_type(S.tolist(), bytes)\n\nassert_type(b.ravel(), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(i8.ravel(), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(u8.ravel(), np.ndarray[tuple[int], np.dtype[np.uint64]])\nassert_type(f8.ravel(), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(c16.ravel(), np.ndarray[tuple[int], np.dtype[np.complex128]])\nassert_type(U.ravel(), np.ndarray[tuple[int], np.dtype[np.str_]])\nassert_type(S.ravel(), np.ndarray[tuple[int], np.dtype[np.bytes_]])\n\nassert_type(b.flatten(), np.ndarray[tuple[int], np.dtype[np.bool]])\nassert_type(i8.flatten(), np.ndarray[tuple[int], np.dtype[np.int64]])\nassert_type(u8.flatten(), np.ndarray[tuple[int], np.dtype[np.uint64]])\nassert_type(f8.flatten(), np.ndarray[tuple[int], np.dtype[np.float64]])\nassert_type(c16.flatten(), np.ndarray[tuple[int], np.dtype[np.complex128]])\nassert_type(U.flatten(), np.ndarray[tuple[int], np.dtype[np.str_]])\nassert_type(S.flatten(), np.ndarray[tuple[int], np.dtype[np.bytes_]])\n\nassert_type(b.reshape(()), np.bool)\nassert_type(i8.reshape([]), np.int64)\nassert_type(b.reshape(1), np.ndarray[tuple[_1], np.dtype[np.bool]])\nassert_type(i8.reshape(-1), np.ndarray[tuple[_1], np.dtype[np.int64]])\nassert_type(u8.reshape(1, 1), np.ndarray[tuple[_1, _1], np.dtype[np.uint64]])\nassert_type(f8.reshape(1, -1), np.ndarray[tuple[_1, _1], np.dtype[np.float64]])\nassert_type(c16.reshape(1, 1, 1), np.ndarray[tuple[_1, _1, _1], np.dtype[np.complex128]])\nassert_type(U.reshape(1, 1, 1, 1), np.ndarray[tuple[_1, _1, _1, _1], np.dtype[np.str_]])\nassert_type(\n S.reshape(1, 1, 1, 1, 1),\n np.ndarray[\n # len(shape) >= 5\n tuple[_1, _1, _1, _1, _1, *tuple[_1, ...]],\n np.dtype[np.bytes_],\n ],\n)\n\nassert_type(i8.astype(float), Any)\nassert_type(i8.astype(np.float64), np.float64)\n\nassert_type(i8.view(), np.int64)\nassert_type(i8.view(np.float64), np.float64)\nassert_type(i8.view(float), Any)\nassert_type(i8.view(np.float64, np.ndarray), np.float64)\n\nassert_type(i8.getfield(float), Any)\nassert_type(i8.getfield(np.float64), np.float64)\nassert_type(i8.getfield(np.float64, 8), np.float64)\n\nassert_type(f8.as_integer_ratio(), tuple[int, int])\nassert_type(f8.is_integer(), bool)\nassert_type(f8.__trunc__(), int)\nassert_type(f8.__getformat__("float"), str)\nassert_type(f8.hex(), str)\nassert_type(np.float64.fromhex("0x0.0p+0"), np.float64)\n\nassert_type(f8.__getnewargs__(), tuple[float])\nassert_type(c16.__getnewargs__(), tuple[float, float])\n\nassert_type(i8.numerator, np.int64)\nassert_type(i8.denominator, Literal[1])\nassert_type(u8.numerator, np.uint64)\nassert_type(u8.denominator, Literal[1])\nassert_type(m.numerator, np.timedelta64)\nassert_type(m.denominator, Literal[1])\n\nassert_type(round(i8), int)\nassert_type(round(i8, 3), np.int64)\nassert_type(round(u8), int)\nassert_type(round(u8, 3), np.uint64)\nassert_type(round(f8), int)\nassert_type(round(f8, 3), np.float64)\n\nassert_type(f8.__ceil__(), int)\nassert_type(f8.__floor__(), int)\n\nassert_type(i8.is_integer(), Literal[True])\n\nassert_type(O.real, np.object_)\nassert_type(O.imag, np.object_)\nassert_type(int(O), int)\nassert_type(float(O), float)\nassert_type(complex(O), complex)\n\n# These fail fail because of a mypy __new__ bug:\n# https://github.com/python/mypy/issues/15182\n# According to the typing spec, the following statements are valid, see\n# https://typing.readthedocs.io/en/latest/spec/constructors.html#new-method\n\n# assert_type(np.object_(), None)\n# assert_type(np.object_(None), None)\n# assert_type(np.object_(array_nd), np.ndarray[Any, np.dtype[np.object_]])\n# assert_type(np.object_([]), npt.NDArray[np.object_])\n# assert_type(np.object_(()), npt.NDArray[np.object_])\n# assert_type(np.object_(range(4)), npt.NDArray[np.object_])\n# assert_type(np.object_(+42), int)\n# assert_type(np.object_(1 / 137), float)\n# assert_type(np.object_('Developers! ' * (1 << 6)), str)\n# assert_type(np.object_(object()), object)\n# assert_type(np.object_({False, True, NotADirectoryError}), set[Any])\n# assert_type(np.object_({'spam': 'food', 'ham': 'food'}), dict[str, str])\n | .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])\nassert_type(np.take_along_axis(f8, AR_i8, axis=None), npt.NDArray[np.float64])\n\nassert_type(np.put_along_axis(AR_f8, AR_i8, "1.0", axis=1), None)\n\nassert_type(np.expand_dims(AR_i8, 2), npt.NDArray[np.int64])\nassert_type(np.expand_dims(AR_LIKE_f8, 2), npt.NDArray[Any])\n\nassert_type(np.column_stack([AR_i8]), npt.NDArray[np.int64])\nassert_type(np.column_stack([AR_LIKE_f8]), npt.NDArray[Any])\n\nassert_type(np.dstack([AR_i8]), npt.NDArray[np.int64])\nassert_type(np.dstack([AR_LIKE_f8]), npt.NDArray[Any])\n\nassert_type(np.array_split(AR_i8, [3, 5, 6, 10]), list[npt.NDArray[np.int64]])\nassert_type(np.array_split(AR_LIKE_f8, [3, 5, 6, 10]), list[npt.NDArray[Any]])\n\nassert_type(np.split(AR_i8, [3, 5, 6, 10]), list[npt.NDArray[np.int64]])\nassert_type(np.split(AR_LIKE_f8, [3, 5, 6, 10]), list[npt.NDArray[Any]])\n\nassert_type(np.hsplit(AR_i8, [3, 5, 6, 10]), list[npt.NDArray[np.int64]])\nassert_type(np.hsplit(AR_LIKE_f8, [3, 5, 6, 10]), list[npt.NDArray[Any]])\n\nassert_type(np.vsplit(AR_i8, [3, 5, 6, 10]), list[npt.NDArray[np.int64]])\nassert_type(np.vsplit(AR_LIKE_f8, [3, 5, 6, 10]), list[npt.NDArray[Any]])\n\nassert_type(np.dsplit(AR_i8, [3, 5, 6, 10]), list[npt.NDArray[np.int64]])\nassert_type(np.dsplit(AR_LIKE_f8, [3, 5, 6, 10]), list[npt.NDArray[Any]])\n\nassert_type(np.kron(AR_b, AR_b), npt.NDArray[np.bool])\nassert_type(np.kron(AR_b, AR_i8), npt.NDArray[np.signedinteger])\nassert_type(np.kron(AR_f8, AR_f8), npt.NDArray[np.floating])\n\nassert_type(np.tile(AR_i8, 5), npt.NDArray[np.int64])\nassert_type(np.tile(AR_LIKE_f8, [2, 2]), npt.NDArray[Any])\n\nassert_type(np.unstack(AR_i8, axis=0), tuple[npt.NDArray[np.int64], ...])\nassert_type(np.unstack(AR_LIKE_f8, axis=0), tuple[npt.NDArray[Any], ...])\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.NDArray[Any])\nassert_type(np.lib.stride_tricks.as_strided(AR_f8, strides=(1, 5)), npt.NDArray[np.float64])\nassert_type(np.lib.stride_tricks.as_strided(AR_f8, shape=[9, 20]), npt.NDArray[np.float64])\n\nassert_type(np.lib.stride_tricks.sliding_window_view(AR_f8, 5), npt.NDArray[np.float64])\nassert_type(np.lib.stride_tricks.sliding_window_view(AR_LIKE_f, (1, 5)), npt.NDArray[Any])\nassert_type(np.lib.stride_tricks.sliding_window_view(AR_f8, [9], axis=1), npt.NDArray[np.float64])\n\nassert_type(np.broadcast_to(AR_f8, 5), npt.NDArray[np.float64])\nassert_type(np.broadcast_to(AR_LIKE_f, (1, 5)), npt.NDArray[Any])\nassert_type(np.broadcast_to(AR_f8, [4, 6], subok=True), npt.NDArray[np.float64])\n\nassert_type(np.broadcast_shapes((1, 2), [3, 1], (3, 2)), tuple[Any, ...])\nassert_type(np.broadcast_shapes((6, 7), (5, 6, 1), 7, (5, 1, 7)), tuple[Any, ...])\n\nassert_type(np.broadcast_arrays(AR_f8, AR_f8), tuple[npt.NDArray[Any], ...])\nassert_type(np.broadcast_arrays(AR_f8, AR_LIKE_f), tuple[npt.NDArray[Any], ...])\n | .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_]\nAR_T: AR_T_alias\n\nassert_type(np.strings.equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.not_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.not_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.not_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.greater_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.greater_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.greater_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.less_equal(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.less_equal(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.less_equal(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.greater(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.greater(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.greater(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.less(AR_U, AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.less(AR_S, AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.less(AR_T, AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.add(AR_U, AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.add(AR_S, AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.add(AR_T, AR_T), AR_T_alias)\n\nassert_type(np.strings.multiply(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.strings.multiply(AR_S, [5, 4, 3]), npt.NDArray[np.bytes_])\nassert_type(np.strings.multiply(AR_T, 5), AR_T_alias)\n\nassert_type(np.strings.mod(AR_U, "test"), npt.NDArray[np.str_])\nassert_type(np.strings.mod(AR_S, "test"), npt.NDArray[np.bytes_])\nassert_type(np.strings.mod(AR_T, "test"), AR_T_alias)\n\nassert_type(np.strings.capitalize(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.capitalize(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.capitalize(AR_T), AR_T_alias)\n\nassert_type(np.strings.center(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.strings.center(AR_S, [2, 3, 4], b"a"), npt.NDArray[np.bytes_])\nassert_type(np.strings.center(AR_T, 5), AR_T_alias)\n\nassert_type(np.strings.encode(AR_U), npt.NDArray[np.bytes_])\nassert_type(np.strings.encode(AR_T), npt.NDArray[np.bytes_])\nassert_type(np.strings.decode(AR_S), npt.NDArray[np.str_])\n\nassert_type(np.strings.expandtabs(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.expandtabs(AR_S, tabsize=4), npt.NDArray[np.bytes_])\nassert_type(np.strings.expandtabs(AR_T), AR_T_alias)\n\nassert_type(np.strings.ljust(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.strings.ljust(AR_S, [4, 3, 1], fillchar=[b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.strings.ljust(AR_T, 5), AR_T_alias)\nassert_type(np.strings.ljust(AR_T, [4, 2, 1], fillchar=["a", "b", "c"]), AR_T_alias)\n\nassert_type(np.strings.rjust(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.strings.rjust(AR_S, [4, 3, 1], fillchar=[b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.strings.rjust(AR_T, 5), AR_T_alias)\nassert_type(np.strings.rjust(AR_T, [4, 2, 1], fillchar=["a", "b", "c"]), AR_T_alias)\n\nassert_type(np.strings.lstrip(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.lstrip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.strings.lstrip(AR_T), AR_T_alias)\nassert_type(np.strings.lstrip(AR_T, "_"), AR_T_alias)\n\nassert_type(np.strings.rstrip(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.rstrip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.strings.rstrip(AR_T), AR_T_alias)\nassert_type(np.strings.rstrip(AR_T, "_"), AR_T_alias)\n\nassert_type(np.strings.strip(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.strip(AR_S, b"_"), npt.NDArray[np.bytes_])\nassert_type(np.strings.strip(AR_T), AR_T_alias)\nassert_type(np.strings.strip(AR_T, "_"), AR_T_alias)\n\nassert_type(np.strings.count(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.count(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.strings.count(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.count(AR_T, ["a", "b", "c"], end=9), npt.NDArray[np.int_])\n\nassert_type(np.strings.partition(AR_U, "\n"), npt.NDArray[np.str_])\nassert_type(np.strings.partition(AR_S, [b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.strings.partition(AR_T, "\n"), AR_TU_alias)\n\nassert_type(np.strings.rpartition(AR_U, "\n"), npt.NDArray[np.str_])\nassert_type(np.strings.rpartition(AR_S, [b"a", b"b", b"c"]), npt.NDArray[np.bytes_])\nassert_type(np.strings.rpartition(AR_T, "\n"), AR_TU_alias)\n\nassert_type(np.strings.replace(AR_U, "_", "-"), npt.NDArray[np.str_])\nassert_type(np.strings.replace(AR_S, [b"_", b""], [b"a", b"b"]), npt.NDArray[np.bytes_])\nassert_type(np.strings.replace(AR_T, "_", "_"), AR_TU_alias)\n\nassert_type(np.strings.lower(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.lower(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.lower(AR_T), AR_T_alias)\n\nassert_type(np.strings.upper(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.upper(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.upper(AR_T), AR_T_alias)\n\nassert_type(np.strings.swapcase(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.swapcase(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.swapcase(AR_T), AR_T_alias)\n\nassert_type(np.strings.title(AR_U), npt.NDArray[np.str_])\nassert_type(np.strings.title(AR_S), npt.NDArray[np.bytes_])\nassert_type(np.strings.title(AR_T), AR_T_alias)\n\nassert_type(np.strings.zfill(AR_U, 5), npt.NDArray[np.str_])\nassert_type(np.strings.zfill(AR_S, [2, 3, 4]), npt.NDArray[np.bytes_])\nassert_type(np.strings.zfill(AR_T, 5), AR_T_alias)\n\nassert_type(np.strings.endswith(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(np.strings.endswith(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\nassert_type(np.strings.endswith(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\n\nassert_type(np.strings.startswith(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\nassert_type(np.strings.startswith(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.bool])\nassert_type(np.strings.startswith(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.bool])\n\nassert_type(np.strings.find(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.find(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.strings.find(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.strings.rfind(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.rfind(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.strings.rfind(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.strings.index(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.index(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.strings.index(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.strings.rindex(AR_U, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\nassert_type(np.strings.rindex(AR_S, [b"a", b"b", b"c"], end=9), npt.NDArray[np.int_])\nassert_type(np.strings.rindex(AR_T, "a", start=[1, 2, 3]), npt.NDArray[np.int_])\n\nassert_type(np.strings.isalpha(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isalpha(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.isalpha(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isalnum(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isalnum(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.isalnum(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isdecimal(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isdecimal(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isdigit(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isdigit(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.isdigit(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.islower(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.islower(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.islower(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isnumeric(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isnumeric(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isspace(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isspace(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.isspace(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.istitle(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.istitle(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.istitle(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.isupper(AR_U), npt.NDArray[np.bool])\nassert_type(np.strings.isupper(AR_S), npt.NDArray[np.bool])\nassert_type(np.strings.isupper(AR_T), npt.NDArray[np.bool])\n\nassert_type(np.strings.str_len(AR_U), npt.NDArray[np.int_])\nassert_type(np.strings.str_len(AR_S), npt.NDArray[np.int_])\nassert_type(np.strings.str_len(AR_T), npt.NDArray[np.int_])\n\nassert_type(np.strings.translate(AR_U, ""), npt.NDArray[np.str_])\nassert_type(np.strings.translate(AR_S, ""), npt.NDArray[np.bytes_])\nassert_type(np.strings.translate(AR_T, ""), AR_T_alias)\n\nassert_type(np.strings.slice(AR_U, 1, 5, 2), npt.NDArray[np.str_])\nassert_type(np.strings.slice(AR_S, 1, 5, 2), npt.NDArray[np.bytes_])\nassert_type(np.strings.slice(AR_T, 1, 5, 2), AR_T_alias)\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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