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repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/philox/philox-test-data-gen.c | /*
* Generate testing csv files
*
* cl philox-test-data-gen.c /Ox
* philox-test-data-gen.exe
*
* gcc philox-test-data-gen.c -o philox-test-data-gen
* ./philox-test-data-gen
*
* Requires the Random123 directory containing header files to be located in the
* same directory (not included).
*
*/
#include "... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/philox/philox-benchmark.c | /*
* Simple benchmark command
*
* cl philox-benchmark.c /Ox
*
* gcc philox-benchmark.c -O3 -o philox-benchmark
*
* Requires the Random123 directory containing header files to be located in the
* same directory (not included).
*/
#include "Random123/philox.h"
#include <inttypes.h>
#include <stdio.h>
#include ... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/philox/LICENSE.md | # PHILOX
Copyright 2010-2012, D. E. Shaw Research.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions, an... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/randomkit.c | /* Random kit 1.3 */
/*
* Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
*
* The rk_random and rk_seed functions algorithms and the original design of
* the Mersenne Twister RNG:
*
* Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
* All rights reserved.
*
* Redistribution... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/randomkit.h | /* Random kit 1.3 */
/*
* Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limita... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937-jump.c | #include "mt19937-jump.h"
#include "mt19937.h"
/* 32-bits function */
/* return the i-th coefficient of the polynomial pf */
unsigned long get_coef(unsigned long *pf, unsigned int deg) {
if ((pf[deg >> 5] & (LSB << (deg & 0x1ful))) != 0)
return (1);
else
return (0);
}
void copy_state(mt19937_state *target... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937-jump.h | #pragma once
#include "mt19937.h"
#include <stdlib.h>
/* parameters for computing Jump */
#define W_SIZE 32 /* size of unsigned long */
#define MEXP 19937
#define P_SIZE ((MEXP / W_SIZE) + 1)
#define LSB 0x00000001UL
#define QQ 7
#define LL 128 /* LL = 2^(QQ) */
void mt19937_jump_state(mt19937_state *state);
void se... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937-test-data-gen.c | /*
* Generate testing csv files
*
* cl mt19937-test-data-gen.c randomkit.c
* -IC:\Anaconda\Lib\site-packages\numpy\_core\include -IC:\Anaconda\include
* Advapi32.lib Kernel32.lib C:\Anaconda\libs\python36.lib -DRK_NO_WINCRYPT=1
*
*/
#include "randomkit.h"
#include <inttypes.h>
#include <stdio.h>
#define N ... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937.c | #include "mt19937.h"
#include "mt19937-jump.h"
void mt19937_seed(mt19937_state *state, uint32_t seed) {
int pos;
seed &= 0xffffffffUL;
/* Knuth's PRNG as used in the Mersenne Twister reference implementation */
for (pos = 0; pos < RK_STATE_LEN; pos++) {
state->key[pos] = seed;
seed = (1812433253UL * (... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937.h | #pragma once
#include <math.h>
#include <stdint.h>
#if defined(_WIN32) && !defined (__MINGW32__)
#define inline __forceinline
#endif
#define RK_STATE_LEN 624
#define N 624
#define M 397
#define MATRIX_A 0x9908b0dfUL
#define UPPER_MASK 0x80000000UL
#define LOWER_MASK 0x7fffffffUL
typedef struct s_mt19937_state {
u... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/LICENSE.md | # MT19937
Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
The rk_random and rk_seed functions algorithms and the original design of
the Mersenne Twister RNG:
Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
All rights reserved.
Redistribution and use in source and binary forms, w... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/mt19937/mt19937-benchmark.c | /*
* cl mt19937-benchmark.c mt19937.c /Ox
* Measure-Command { .\mt19937-benchmark.exe }
*
* gcc mt19937-benchmark.c mt19937.c -O3 -o mt19937-benchmark
* time ./mt19937-benchmark
*/
#include "mt19937.h"
#include <inttypes.h>
#include <stdio.h>
#include <time.h>
#define Q 1000000000
int main() {
int i;
uint32... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/legacy/legacy-distributions.c | /*
* This file contains generation code for distribution that have been modified
* since Generator was introduced. These are preserved using identical code
* to what was in NumPy 1.16 so that the stream of values generated by
* RandomState is not changed when there are changes that affect Generator.
*
* These fun... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/logfactorial.c |
#include <math.h>
#include <stdint.h>
/*
* logfact[k] holds log(k!) for k = 0, 1, 2, ..., 125.
*/
static const double logfact[] = {
0,
0,
0.69314718055994529,
1.791759469228055,
3.1780538303479458,
4.7874917427820458,
6.5792512120101012,
8.5251613610654147,
10.604602902745251,
... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/ziggurat_constants.h | static const uint64_t ki_double[] = {
0x000EF33D8025EF6AULL, 0x0000000000000000ULL, 0x000C08BE98FBC6A8ULL,
0x000DA354FABD8142ULL, 0x000E51F67EC1EEEAULL, 0x000EB255E9D3F77EULL,
0x000EEF4B817ECAB9ULL, 0x000F19470AFA44AAULL, 0x000F37ED61FFCB18ULL,
0x000F4F469561255CULL, 0x000F61A5E41BA396ULL, 0x000F707A755... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/distributions.c | #include "numpy/random/distributions.h"
#include "ziggurat_constants.h"
#include "logfactorial.h"
#if defined(_MSC_VER) && defined(_WIN64)
#include <intrin.h>
#endif
#include <assert.h>
/* Inline generators for internal use */
static inline uint32_t next_uint32(bitgen_t *bitgen_state) {
return bitgen_state->next_u... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/random_hypergeometric.c | #include "numpy/random/distributions.h"
#include "logfactorial.h"
#include <stdint.h>
/*
* Generate a sample from the hypergeometric distribution.
*
* Assume sample is not greater than half the total. See below
* for how the opposite case is handled.
*
* We initialize the following:
* computed_sample ... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/logfactorial.h |
#ifndef LOGFACTORIAL_H
#define LOGFACTORIAL_H
#include <stdint.h>
double logfactorial(int64_t k);
#endif
| 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/LICENSE.md | ## NumPy
Copyright (c) 2005-2017, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions a... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/random_mvhg_marginals.c | #include "numpy/random/distributions.h"
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#include <math.h>
#include "logfactorial.h"
/*
* random_multivariate_hypergeometric_marginals
*
* Draw samples from the multivariate hypergeometric distribution--
* the "marginals" algorithm.
*
* This versi... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/distributions/random_mvhg_count.c | #include "numpy/random/distributions.h"
#include <stdint.h>
#include <stdlib.h>
#include <stdbool.h>
/*
* random_multivariate_hypergeometric_count
*
* Draw variates from the multivariate hypergeometric distribution--
* the "count" algorithm.
*
* Parameters
* ----------
* bitgen_t *bitgen_state
* P... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/splitmix64/splitmix64.orig.c | /* Written in 2015 by Sebastiano Vigna (vigna@acm.org)
To the extent possible under law, the author has dedicated all copyright
and related and neighboring rights to this software to the public domain
worldwide. This software is distributed without any warranty.
See <http://creativecommons.org/publicdomain/zero/1.0/... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/splitmix64/splitmix64.h | #include <inttypes.h>
typedef struct s_splitmix64_state {
uint64_t state;
int has_uint32;
uint32_t uinteger;
} splitmix64_state;
static inline uint64_t splitmix64_next(uint64_t *state) {
uint64_t z = (state[0] += 0x9e3779b97f4a7c15);
z = (z ^ (z >> 30)) * 0xbf58476d1ce4e5b9;
z = (z ^ (z >> 27)) * 0x94d049... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/splitmix64/splitmix64.c | /* Written in 2015 by Sebastiano Vigna (vigna@acm.org)
To the extent possible under law, the author has dedicated all copyright
and related and neighboring rights to this software to the public domain
worldwide. This software is distributed without any warranty.
See <http://creativecommons.org/publicdomain/zero/1.0/... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/splitmix64/LICENSE.md | # SPLITMIX64
Written in 2015 by Sebastiano Vigna (vigna@acm.org)
To the extent possible under law, the author has dedicated all copyright
and related and neighboring rights to this software to the public domain
worldwide. This software is distributed without any warranty.
See <http://creativecommons.org/publicdomain... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/sfc64/sfc64.c | #include "sfc64.h"
extern void sfc64_set_seed(sfc64_state *state, uint64_t *seed) {
/* Conservatively stick with the original formula. With SeedSequence, it
* might be fine to just set the state with 4 uint64s and be done.
*/
int i;
state->s[0] = seed[0];
state->s[1] = seed[1];
state->s[2] = seed[2];
... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/sfc64/LICENSE.md | # SFC64
## The MIT License
Adapted from a C++ implementation of Chris Doty-Humphrey's SFC PRNG.
https://gist.github.com/imneme/f1f7821f07cf76504a97f6537c818083
Copyright (c) 2018 Melissa E. O'Neill
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated document... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/sfc64/sfc64.h | #ifndef _RANDOMDGEN__SFC64_H_
#define _RANDOMDGEN__SFC64_H_
#include "numpy/npy_common.h"
#include <inttypes.h>
#ifdef _WIN32
#include <stdlib.h>
#endif
typedef struct s_sfc64_state {
uint64_t s[4];
int has_uint32;
uint32_t uinteger;
} sfc64_state;
static inline uint64_t rotl(const uint64_t value, unsigned in... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64.c | /*
* PCG64 Random Number Generation for C.
*
* Copyright 2014 Melissa O'Neill <oneill@pcg-random.org>
* Copyright 2015 Robert Kern <robert.kern@gmail.com>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a cop... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64.orig.c | #include "pcg64.orig.h"
extern inline void pcg_setseq_128_srandom_r(pcg64_random_t *rng,
pcg128_t initstate,
pcg128_t initseq);
extern uint64_t pcg_rotr_64(uint64_t value, unsigned int rot);
extern inline uint64_t pcg_output_xsl_r... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64.orig.h | /*
* PCG Random Number Generation for C.
*
* Copyright 2014 Melissa O'Neill <oneill@pcg-random.org>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/lice... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64-benchmark.c | /*
* cl pcg64-benchmark.c pcg64.c ../splitmix64/splitmix64.c /Ox
* Measure-Command { .\xoroshiro128-benchmark.exe }
*
* gcc pcg64-benchmark.c pcg64.c ../splitmix64/splitmix64.c -O3 -o
* pcg64-benchmark
* time ./pcg64-benchmark
*/
#include "../splitmix64/splitmix64.h"
#include "pcg64.h"
#include <inttypes.h>
#inc... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/LICENSE.md | # PCG64
## The MIT License
PCG Random Number Generation for C.
Copyright 2014 Melissa O'Neill <oneill@pcg-random.org>
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, incl... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64.h | /*
* PCG64 Random Number Generation for C.
*
* Copyright 2014 Melissa O'Neill <oneill@pcg-random.org>
* Copyright 2015 Robert Kern <robert.kern@gmail.com>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a cop... | 0 |
public_repos/numpy/numpy/random/src | public_repos/numpy/numpy/random/src/pcg64/pcg64-test-data-gen.c | /*
* Generate testing csv files
*
* GCC only
*
* gcc pcg64-test-data-gen.c pcg64.orig.c ../splitmix64/splitmix64.c -o
* pgc64-test-data-gen
*/
#include "pcg64.orig.h"
#include <inttypes.h>
#include <stdio.h>
#define N 1000
int main() {
pcg64_random_t rng;
uint64_t state, seed = 0xDEADBEAF;
state = seed... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_regression.py | import sys
from numpy.testing import (
assert_, assert_array_equal, assert_raises,
)
from numpy import random
import numpy as np
class TestRegression:
def test_VonMises_range(self):
# Make sure generated random variables are in [-pi, pi].
# Regression test for ticket #986.
for mu ... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_seed_sequence.py | import numpy as np
from numpy.testing import assert_array_equal, assert_array_compare
from numpy.random import SeedSequence
def test_reference_data():
""" Check that SeedSequence generates data the same as the C++ reference.
https://gist.github.com/imneme/540829265469e673d045
"""
inputs = [
... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_randomstate_regression.py | import sys
import pytest
from numpy.testing import (
assert_, assert_array_equal, assert_raises,
)
import numpy as np
from numpy import random
class TestRegression:
def test_VonMises_range(self):
# Make sure generated random variables are in [-pi, pi].
# Regression test for ticket #986... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_smoke.py | import pickle
from functools import partial
import numpy as np
import pytest
from numpy.testing import assert_equal, assert_, assert_array_equal
from numpy.random import (Generator, MT19937, PCG64, PCG64DXSM, Philox, SFC64)
@pytest.fixture(scope='module',
params=(np.bool_, np.int8, np.int16, np.int32,... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_extending.py | from importlib.util import spec_from_file_location, module_from_spec
import os
import pathlib
import pytest
import shutil
import subprocess
import sys
import sysconfig
import textwrap
import warnings
import numpy as np
from numpy.testing import IS_WASM
try:
import cffi
except ImportError:
cffi = None
if sys... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_generator_mt19937.py | import sys
import hashlib
import pytest
import numpy as np
from numpy.exceptions import AxisError
from numpy.linalg import LinAlgError
from numpy.testing import (
assert_, assert_raises, assert_equal, assert_allclose,
assert_warns, assert_no_warnings, assert_array_equal,
assert_array_almost_equal, suppres... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_direct.py | import os
from os.path import join
import sys
import numpy as np
from numpy.testing import (assert_equal, assert_allclose, assert_array_equal,
assert_raises)
import pytest
from numpy.random import (
Generator, MT19937, PCG64, PCG64DXSM, Philox, RandomState, SeedSequence,
SFC64, defa... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_randomstate.py | import hashlib
import pickle
import sys
import warnings
import numpy as np
import pytest
from numpy.testing import (
assert_, assert_raises, assert_equal, assert_warns,
assert_no_warnings, assert_array_equal, assert_array_almost_equal,
suppress_warnings, IS_WASM
)
from numpy.random imp... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_generator_mt19937_regressions.py | from numpy.testing import (assert_, assert_array_equal)
import numpy as np
import pytest
from numpy.random import Generator, MT19937
class TestRegression:
def setup_method(self):
self.mt19937 = Generator(MT19937(121263137472525314065))
def test_vonmises_range(self):
# Make sure generated ran... | 0 |
public_repos/numpy/numpy/random | public_repos/numpy/numpy/random/tests/test_random.py | import warnings
import pytest
import numpy as np
from numpy.testing import (
assert_, assert_raises, assert_equal, assert_warns,
assert_no_warnings, assert_array_equal, assert_array_almost_equal,
suppress_warnings, IS_WASM
)
from numpy import random
import sys
class TestSeed:
def... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/pcg64-testset-1.csv | seed, 0xdeadbeaf
0, 0x60d24054e17a0698
1, 0xd5e79d89856e4f12
2, 0xd254972fe64bd782
3, 0xf1e3072a53c72571
4, 0xd7c1d7393d4115c9
5, 0x77b75928b763e1e2
6, 0xee6dee05190f7909
7, 0x15f7b1c51d7fa319
8, 0x27e44105f26ac2d7
9, 0xcc0d88b29e5b415
10, 0xe07b1a90c685e361
11, 0xd2e430240de95e38
12, 0x3260bca9a24ca9da
13, 0x9b3cf2e92... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/philox-testset-2.csv | seed, 0x0
0, 0x399e5b222b82fa9
1, 0x41fd08c1f00f3bc5
2, 0x78b8824162ee4d04
3, 0x176747919e02739d
4, 0xfaa88f002a8d3596
5, 0x418eb6f592e6c227
6, 0xef83020b8344dd45
7, 0x30a74a1a6eaa064b
8, 0x93d43bf97a490c3
9, 0xe4ba28b442194cc
10, 0xc829083a168a8656
11, 0x73f45d50f8e22849
12, 0xf912db57352824cc
13, 0xf524216927b12ada
1... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/philox-testset-1.csv | seed, 0xdeadbeaf
0, 0xedc95200e2bd66a5
1, 0x581d4e43b7682352
2, 0x4be7278f5e373eab
3, 0xee47f17991a9e7ea
4, 0x38a7d2ae422f2e2c
5, 0xe2a6730a3b4a8a15
6, 0x1588b7a841486442
7, 0x13ad777246700504
8, 0x14d157e0f5e18204
9, 0xd87c22a7ee8c13f1
10, 0x30cc389ce3542ba1
11, 0xb8a53348955bb2e9
12, 0xc08802e3c454f74f
13, 0xb444f627... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/pcg64-testset-2.csv | seed, 0x0
0, 0xa30febcfd9c2825f
1, 0x4510bdf882d9d721
2, 0xa7d3da94ecde8b8
3, 0x43b27b61342f01d
4, 0xd0327a782cde513b
5, 0xe9aa5979a6401c4e
6, 0x9b4c7b7180edb27f
7, 0xbac0495ff8829a45
8, 0x8b2b01e7a1dc7fbf
9, 0xef60e8078f56bfed
10, 0xd0dbc74d4700374c
11, 0xb37868abbe90b0
12, 0xdb7ed8bf64e6f5f0
13, 0x89910738de7951f
14,... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/sfc64-testset-2.csv | seed, 0x0
0, 0x91959e5fb96a6332
1, 0x3c1dd8a25a7e9f21
2, 0x657bdffc99798d9e
3, 0x1a04de320b19e022
4, 0x65b92af0e5f3c61c
5, 0x9c84070ce8f743c0
6, 0xbb10e573693cdb25
7, 0xd65ea9e76b37fb6b
8, 0x503efd0e76c8ae66
9, 0xd711dcd04c26d0f
10, 0x12f53f435814ac8c
11, 0xb392cd402cfc82bd
12, 0x461764550e06c889
13, 0x716a48b3514e6979... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/pcg64dxsm-testset-2.csv | seed, 0x0
0, 0xd97e4a147f788a70
1, 0x8dfa7bce56e3a253
2, 0x13556ed9f53d3c10
3, 0x55dbf1c241341e98
4, 0xa2cd98f722eb0e0a
5, 0x83dfc407203ade8
6, 0xeaa083df518f030d
7, 0x44968c87e432852b
8, 0x573107b9cb8d9ecc
9, 0x9eedd1da50b9daca
10, 0xb33a6735ca451e3c
11, 0x72830d2b39677262
12, 0x9da8c512fd0207e8
13, 0x1fc5c91954a2672b... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/sfc64-testset-1.csv | seed, 0xdeadbeaf
0, 0xa475f55fbb6bc638
1, 0xb2d594b6c29d971c
2, 0x275bc4ece4484fb1
3, 0x569be72d9b3492fb
4, 0x89a5bb9b206a670c
5, 0xd951bfa06afdc3f9
6, 0x7ee2e1029d52a265
7, 0x12ef1d4de0cb4d4c
8, 0x41658ba8f0ef0280
9, 0x5b650c82e4fe09c5
10, 0x638a9f3e30ec4e94
11, 0x147487fb2ba9233e
12, 0x89ef035603d2d1fb
13, 0xe66ca57a... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/mt19937-testset-2.csv | seed, 0x0
0, 0x7ab4ea94
1, 0x9b561119
2, 0x4957d02e
3, 0x7dd3fdc2
4, 0x5affe54
5, 0x5a01741c
6, 0x8b9e8c1f
7, 0xda5bf11a
8, 0x509226
9, 0x64e2ea17
10, 0x82c6dab5
11, 0xe4302515
12, 0x8198b873
13, 0xc3ec9a82
14, 0x829dff28
15, 0x5278e44f
16, 0x994a7d2c
17, 0xf1c89398
18, 0xaf2fddec
19, 0x22abc6ee
20, 0x963dbd43
21, 0xc2... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/mt19937-testset-1.csv | seed, 0xdeadbeaf
0, 0xc816921f
1, 0xb3623c6d
2, 0x5fa391bb
3, 0x40178d9
4, 0x7dcc9811
5, 0x548eb8e6
6, 0x92ba3125
7, 0x65fde68d
8, 0x2f81ec95
9, 0xbd94f7a2
10, 0xdc4d9bcc
11, 0xa672bf13
12, 0xb41113e
13, 0xec7e0066
14, 0x50239372
15, 0xd9d66b1d
16, 0xab72a161
17, 0xddc2e29f
18, 0x7ea29ab4
19, 0x80d141ba
20, 0xb1c7edf1
... | 0 |
public_repos/numpy/numpy/random/tests | public_repos/numpy/numpy/random/tests/data/pcg64dxsm-testset-1.csv | seed, 0xdeadbeaf
0, 0xdf1ddcf1e22521fe
1, 0xc71b2f9c706cf151
2, 0x6922a8cc24ad96b2
3, 0x82738c549beccc30
4, 0x5e8415cdb1f17580
5, 0x64c54ad0c09cb43
6, 0x361a17a607dce278
7, 0x4346f6afb7acad68
8, 0x6e9f14d4f6398d6b
9, 0xf818d4343f8ed822
10, 0x6327647daf508ed6
11, 0xe1d1dbe5496a262a
12, 0xfc081e619076b2e0
13, 0x37126563a... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_build_utils/gitversion.py | #!/usr/bin/env python3
import os
import textwrap
def init_version():
init = os.path.join(os.path.dirname(__file__), '../../pyproject.toml')
with open(init) as fid:
data = fid.readlines()
version_line = next(
line for line in data if line.startswith('version =')
)
version = versio... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_build_utils/tempita.py | #!/usr/bin/env python3
import sys
import os
import argparse
from Cython import Tempita as tempita
# XXX: If this import ever fails (does it really?), vendor cython.tempita
def process_tempita(fromfile, outfile=None):
"""Process tempita templated file and write out the result.
The template file is expected ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_build_utils/gcc_build_bitness.py | #!python
""" Detect bitness (32 or 64) of Mingw-w64 gcc build target on Windows.
"""
import re
from subprocess import run, PIPE
def main():
res = run(['gcc', '-v'], check=True, text=True, capture_output=True)
target = re.search(r'^Target: (.*)$', res.stderr, flags=re.M).groups()[0]
if target.startswith('... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_build_utils/process_src_template.py | #!/usr/bin/env python3
import sys
import os
import argparse
import importlib.util
def get_processor():
# Convoluted because we can't import from numpy.distutils
# (numpy is not yet built)
conv_template_path = os.path.join(
os.path.dirname(__file__),
'..', 'distutils', 'conv_template.py'
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_build_utils/__init__.py | # Don't use the deprecated NumPy C API. Define this to a fixed version
# instead of NPY_API_VERSION in order not to break compilation for
# released SciPy versions when NumPy introduces a new deprecation. Use
# in setup.py::
#
# config.add_extension('_name', sources=['source_fname'], **numpy_nodepr_api)
#
numpy_nodep... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/einsumfunc.py | def __getattr__(attr_name):
from numpy._core import einsumfunc
from ._utils import _raise_warning
ret = getattr(einsumfunc, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.einsumfunc' has no attribute {attr_name}")
_raise_warning(attr_name, "einsumfunc... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/_dtype_ctypes.py | def __getattr__(attr_name):
from numpy._core import _dtype_ctypes
from ._utils import _raise_warning
ret = getattr(_dtype_ctypes, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core._dtype_ctypes' has no attribute {attr_name}")
_raise_warning(attr_name, "_... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/numerictypes.py | def __getattr__(attr_name):
from numpy._core import numerictypes
from ._utils import _raise_warning
ret = getattr(numerictypes, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.numerictypes' has no attribute {attr_name}")
_raise_warning(attr_name, "nume... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/_dtype.py | def __getattr__(attr_name):
from numpy._core import _dtype
from ._utils import _raise_warning
ret = getattr(_dtype, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core._dtype' has no attribute {attr_name}")
_raise_warning(attr_name, "_dtype")
return re... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/_internal.py | from numpy._core import _internal
# Build a new array from the information in a pickle.
# Note that the name numpy.core._internal._reconstruct is embedded in
# pickles of ndarrays made with NumPy before release 1.0
# so don't remove the name here, or you'll
# break backward compatibility.
def _reconstruct(subtype, sha... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/_utils.py | import warnings
def _raise_warning(attr: str, submodule: str = None) -> None:
new_module = "numpy._core"
old_module = "numpy.core"
if submodule is not None:
new_module = f"{new_module}.{submodule}"
old_module = f"{old_module}.{submodule}"
warnings.warn(
f"{old_module} is deprec... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/_multiarray_umath.py | from numpy._core import _multiarray_umath
from numpy import ufunc
for item in _multiarray_umath.__dir__():
# ufuncs appear in pickles with a path in numpy.core._multiarray_umath
# and so must import from this namespace without warning or error
attr = getattr(_multiarray_umath, item)
if isinstance(attr,... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/shape_base.py | def __getattr__(attr_name):
from numpy._core import shape_base
from ._utils import _raise_warning
ret = getattr(shape_base, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.shape_base' has no attribute {attr_name}")
_raise_warning(attr_name, "shape_base... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/defchararray.py | def __getattr__(attr_name):
from numpy._core import defchararray
from ._utils import _raise_warning
ret = getattr(defchararray, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.defchararray' has no attribute {attr_name}")
_raise_warning(attr_name, "defc... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/umath.py | def __getattr__(attr_name):
from numpy._core import umath
from ._utils import _raise_warning
ret = getattr(umath, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.umath' has no attribute {attr_name}")
_raise_warning(attr_name, "umath")
return ret
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/records.py | def __getattr__(attr_name):
from numpy._core import records
from ._utils import _raise_warning
ret = getattr(records, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.records' has no attribute {attr_name}")
_raise_warning(attr_name, "records")
retur... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/numeric.py | def __getattr__(attr_name):
from numpy._core import numeric
from ._utils import _raise_warning
sentinel = object()
ret = getattr(numeric, attr_name, sentinel)
if ret is sentinel:
raise AttributeError(
f"module 'numpy.core.numeric' has no attribute {attr_name}")
_raise_warnin... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/overrides.py | def __getattr__(attr_name):
from numpy._core import overrides
from ._utils import _raise_warning
ret = getattr(overrides, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.overrides' has no attribute {attr_name}")
_raise_warning(attr_name, "overrides")
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/multiarray.py | from numpy._core import multiarray
# these must import without warning or error from numpy.core.multiarray to
# support old pickle files
for item in ["_reconstruct", "scalar"]:
globals()[item] = getattr(multiarray, item)
# Pybind11 (in versions <= 2.11.1) imports _ARRAY_API from the multiarray
# submodule as a pa... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/fromnumeric.py | def __getattr__(attr_name):
from numpy._core import fromnumeric
from ._utils import _raise_warning
ret = getattr(fromnumeric, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.fromnumeric' has no attribute {attr_name}")
_raise_warning(attr_name, "fromnum... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/function_base.py | def __getattr__(attr_name):
from numpy._core import function_base
from ._utils import _raise_warning
ret = getattr(function_base, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.function_base' has no attribute {attr_name}")
_raise_warning(attr_name, "f... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/arrayprint.py | def __getattr__(attr_name):
from numpy._core import arrayprint
from ._utils import _raise_warning
ret = getattr(arrayprint, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.arrayprint' has no attribute {attr_name}")
_raise_warning(attr_name, "arrayprint... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/__init__.py | """
The `numpy.core` submodule exists solely for backward compatibility
purposes. The original `core` was renamed to `_core` and made private.
`numpy.core` will be removed in the future.
"""
from numpy import _core
from ._utils import _raise_warning
# We used to use `np.core._ufunc_reconstruct` to unpickle.
# This is... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/core/getlimits.py | def __getattr__(attr_name):
from numpy._core import getlimits
from ._utils import _raise_warning
ret = getattr(getlimits, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.getlimits' has no attribute {attr_name}")
_raise_warning(attr_name, "getlimits")
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/__main__.py | # See:
# https://web.archive.org/web/20140822061353/http://cens.ioc.ee/projects/f2py2e
from numpy.f2py.f2py2e import main
main()
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/diagnose.py | #!/usr/bin/env python3
import os
import sys
import tempfile
def run_command(cmd):
print('Running %r:' % (cmd))
os.system(cmd)
print('------')
def run():
_path = os.getcwd()
os.chdir(tempfile.gettempdir())
print('------')
print('os.name=%r' % (os.name))
print('------')
print('sys.... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/__init__.pyi | import os
import subprocess
from collections.abc import Iterable
from typing import Literal as L, Any, overload, TypedDict
from numpy._pytesttester import PytestTester
class _F2PyDictBase(TypedDict):
csrc: list[str]
h: list[str]
class _F2PyDict(_F2PyDictBase, total=False):
fsrc: list[str]
ltx: list[s... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/cfuncs.py | #!/usr/bin/env python3
"""
C declarations, CPP macros, and C functions for f2py2e.
Only required declarations/macros/functions will be used.
Copyright 1999,2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the Num... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/setup.cfg | [bdist_rpm]
doc_files = docs/
tests/ | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/common_rules.py | #!/usr/bin/env python3
"""
Build common block mechanism for f2py2e.
Copyright 2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
$Date:... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/cb_rules.py | #!/usr/bin/env python3
"""
Build call-back mechanism for f2py2e.
Copyright 2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
$Date: 2... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/__version__.py | from numpy.version import version
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/auxfuncs.py | #!/usr/bin/env python3
"""
Auxiliary functions for f2py2e.
Copyright 1999,2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy (BSD style) LICENSE.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RI... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/f2py2e.py | #!/usr/bin/env python3
"""
f2py2e - Fortran to Python C/API generator. 2nd Edition.
See __usage__ below.
Copyright 1999--2011 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@cens.ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRA... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/rules.py | #!/usr/bin/env python3
"""
Rules for building C/API module with f2py2e.
Here is a skeleton of a new wrapper function (13Dec2001):
wrapper_function(args)
declarations
get_python_arguments, say, `a' and `b'
get_a_from_python
if (successful) {
get_b_from_python
if (successful) {
callfortran
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/func2subr.py | #!/usr/bin/env python3
"""
Rules for building C/API module with f2py2e.
Copyright 1999,2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RI... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/crackfortran.py | #!/usr/bin/env python3
"""
crackfortran --- read fortran (77,90) code and extract declaration information.
Copyright 1999-2004 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESS... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/_isocbind.py | iso_c_binding_map = {
'integer': {
'c_int': 'int',
'c_short': 'short int',
'c_long': 'long int',
'c_long_long': 'long long int',
'c_signed_char': 'signed char',
'c_size_t': 'size_t',
'c_int8_t': 'int8_t',
'c_int16_t': 'int16_t',
'c_int32_t': 'i... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/use_rules.py | #!/usr/bin/env python3
"""
Build 'use others module data' mechanism for f2py2e.
Unfinished.
Copyright 2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESSED OR IMPLIED. US... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/f90mod_rules.py | #!/usr/bin/env python3
"""
Build F90 module support for f2py2e.
Copyright 2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
$Date: 20... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/symbolic.py | """Fortran/C symbolic expressions
References:
- J3/21-007: Draft Fortran 202x. https://j3-fortran.org/doc/year/21/21-007.pdf
"""
# To analyze Fortran expressions to solve dimensions specifications,
# for instances, we implement a minimal symbolic engine for parsing
# expressions into a tree of expression instances. A... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/capi_maps.py | #!/usr/bin/env python3
"""
Copyright 1999,2000 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy License.
NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
$Date: 2005/05/06 10:57:33 $
Pearu Peterso... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/f2py/__init__.py | #!/usr/bin/env python3
"""Fortran to Python Interface Generator.
"""
__all__ = ['run_main', 'compile', 'get_include']
import sys
import subprocess
import os
from . import f2py2e
from . import diagnose
run_main = f2py2e.run_main
main = f2py2e.main
def compile(source,
modulename='untitled',
... | 0 |
public_repos/numpy/numpy/f2py | public_repos/numpy/numpy/f2py/_backends/_meson.py | from __future__ import annotations
import errno
import shutil
import subprocess
from pathlib import Path
from ._backend import Backend
from string import Template
from itertools import chain
import warnings
class MesonTemplate:
"""Template meson build file generation class."""
def __init__(
self,
... | 0 |
public_repos/numpy/numpy/f2py | public_repos/numpy/numpy/f2py/_backends/_distutils.py | from ._backend import Backend
from numpy.distutils.core import setup, Extension
from numpy.distutils.system_info import get_info
from numpy.distutils.misc_util import dict_append
from numpy.exceptions import VisibleDeprecationWarning
import os
import sys
import shutil
import warnings
class DistutilsBackend(Backend):... | 0 |
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