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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/lib | public_repos/numpy/numpy/lib/tests/test_io.py | import sys
import gc
import gzip
import os
import threading
import time
import warnings
import re
import pytest
from pathlib import Path
from tempfile import NamedTemporaryFile
from io import BytesIO, StringIO
from datetime import datetime
import locale
from multiprocessing import Value, get_context
from ctypes import ... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_format.py | # doctest
r''' Test the .npy file format.
Set up:
>>> import sys
>>> from io import BytesIO
>>> from numpy.lib import format
>>>
>>> scalars = [
... np.uint8,
... np.int8,
... np.uint16,
... np.int16,
... np.uint32,
... np.int32,
... np.uint6... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_arraypad.py | """Tests for the array padding functions.
"""
import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_allclose, assert_equal
from numpy.lib._arraypad_impl import _as_pairs
_numeric_dtypes = (
np._core.sctypes["uint"]
+ np._core.sctypes["int"]
+ np._core.sctypes["float"]
... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_ufunclike.py | import numpy as np
from numpy import fix, isposinf, isneginf
from numpy.testing import (
assert_, assert_equal, assert_array_equal, assert_raises
)
class TestUfunclike:
def test_isposinf(self):
a = np.array([np.inf, -np.inf, np.nan, 0.0, 3.0, -3.0])
out = np.zeros(a.shape, bool)
tgt ... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_loadtxt.py | """
Tests specific to `np.loadtxt` added during the move of loadtxt to be backed
by C code.
These tests complement those found in `test_io.py`.
"""
import sys
import os
import pytest
from tempfile import NamedTemporaryFile, mkstemp
from io import StringIO
import numpy as np
from numpy.ma.testutils import assert_equal... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_function_base.py | import operator
import warnings
import sys
import decimal
from fractions import Fraction
import math
import pytest
import hypothesis
from hypothesis.extra.numpy import arrays
import hypothesis.strategies as st
from functools import partial
import numpy as np
from numpy import (
ma, angle, average, bartlett, blackm... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_twodim_base.py | """Test functions for matrix module
"""
from numpy.testing import (
assert_equal, assert_array_equal, assert_array_max_ulp,
assert_array_almost_equal, assert_raises, assert_
)
from numpy import (
arange, add, fliplr, flipud, zeros, ones, eye, array, diag, histogram2d,
tri, mask_indices, triu_indices, t... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_packbits.py | import numpy as np
from numpy.testing import assert_array_equal, assert_equal, assert_raises
import pytest
from itertools import chain
def test_packbits():
# Copied from the docstring.
a = [[[1, 0, 1], [0, 1, 0]],
[[1, 1, 0], [0, 0, 1]]]
for dt in '?bBhHiIlLqQ':
arr = np.array(a, dtype=dt)... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_nanfunctions.py | import warnings
import pytest
import inspect
import numpy as np
from numpy._core.numeric import normalize_axis_tuple
from numpy.exceptions import AxisError, ComplexWarning
from numpy.lib._nanfunctions_impl import _nan_mask, _replace_nan
from numpy.testing import (
assert_, assert_equal, assert_almost_equal, assert... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_polynomial.py | import numpy as np
from numpy.testing import (
assert_, assert_equal, assert_array_equal, assert_almost_equal,
assert_array_almost_equal, assert_raises, assert_allclose
)
import pytest
# `poly1d` has some support for `bool_` and `timedelta64`,
# but it is limited and they are therefore excluded here
TYPE_... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_recfunctions.py | import pytest
import numpy as np
import numpy.ma as ma
from numpy.ma.mrecords import MaskedRecords
from numpy.ma.testutils import assert_equal
from numpy.testing import assert_, assert_raises
from numpy.lib.recfunctions import (
drop_fields, rename_fields, get_fieldstructure, recursive_fill_fields,
find_duplic... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_mixins.py | import numbers
import operator
import numpy as np
from numpy.testing import assert_, assert_equal, assert_raises
# NOTE: This class should be kept as an exact copy of the example from the
# docstring for NDArrayOperatorsMixin.
class ArrayLike(np.lib.mixins.NDArrayOperatorsMixin):
def __init__(self, value):
... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_arrayterator.py | from operator import mul
from functools import reduce
import numpy as np
from numpy.random import randint
from numpy.lib import Arrayterator
from numpy.testing import assert_
def test():
np.random.seed(np.arange(10))
# Create a random array
ndims = randint(5)+1
shape = tuple(randint(10)+1 for dim in... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_arraysetops.py | """Test functions for 1D array set operations.
"""
import numpy as np
from numpy import (
ediff1d, intersect1d, setxor1d, union1d, setdiff1d, unique, isin
)
from numpy.exceptions import AxisError
from numpy.testing import (assert_array_equal, assert_equal,
assert_raises, assert_rais... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_utils.py | import pytest
import numpy as np
from numpy.testing import assert_raises_regex
import numpy.lib._utils_impl as _utils_impl
from io import StringIO
def test_assert_raises_regex_context_manager():
with assert_raises_regex(ValueError, 'no deprecation warning'):
raise ValueError('no deprecation warning')
... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test__iotools.py | import time
from datetime import date
import numpy as np
from numpy.testing import (
assert_, assert_equal, assert_allclose, assert_raises,
)
from numpy.lib._iotools import (
LineSplitter, NameValidator, StringConverter,
has_nested_fields, easy_dtype, flatten_dtype
)
class TestLineSplitter:
"... | 0 |
public_repos/numpy/numpy/lib | public_repos/numpy/numpy/lib/tests/test_type_check.py | import numpy as np
from numpy import (
common_type, mintypecode, isreal, iscomplex, isposinf, isneginf,
nan_to_num, isrealobj, iscomplexobj, real_if_close
)
from numpy.testing import (
assert_, assert_equal, assert_array_equal, assert_raises
)
def assert_all(x):
assert_(np.all(x), x)
class T... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_matlib.py | import numpy as np
import numpy.matlib
from numpy.testing import assert_array_equal, assert_
def test_empty():
x = numpy.matlib.empty((2,))
assert_(isinstance(x, np.matrix))
assert_(x.shape, (1, 2))
def test_ones():
assert_array_equal(numpy.matlib.ones((2, 3)),
np.matrix([[ 1., ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test__all__.py |
import collections
import numpy as np
def test_no_duplicates_in_np__all__():
# Regression test for gh-10198.
dups = {k: v for k, v in collections.Counter(np.__all__).items() if v > 1}
assert len(dups) == 0
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_ctypeslib.py | import sys
import sysconfig
import weakref
from pathlib import Path
import pytest
import numpy as np
from numpy.ctypeslib import ndpointer, load_library, as_array
from numpy.testing import assert_, assert_array_equal, assert_raises, assert_equal
try:
import ctypes
except ImportError:
ctypes = None
else:
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_reloading.py | import sys
import subprocess
import textwrap
from importlib import reload
import pickle
import pytest
import numpy.exceptions as ex
from numpy.testing import (
assert_raises,
assert_warns,
assert_,
assert_equal,
IS_WASM,
)
def test_numpy_reloading():
# gh-7844. Also check that relevant globa... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_scripts.py | """ Test scripts
Test that we can run executable scripts that have been installed with numpy.
"""
import sys
import os
import pytest
from os.path import join as pathjoin, isfile, dirname
import subprocess
import numpy as np
from numpy.testing import assert_equal, IS_WASM
is_inplace = isfile(pathjoin(dirname(np.__fil... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_lazyloading.py | import sys
import importlib
from importlib.util import LazyLoader, find_spec, module_from_spec
import pytest
# Warning raised by _reload_guard() in numpy/__init__.py
@pytest.mark.filterwarnings("ignore:The NumPy module was reloaded")
def test_lazy_load():
# gh-22045. lazyload doesn't import submodule names into t... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_numpy_version.py | """
Check the numpy version is valid.
Note that a development version is marked by the presence of 'dev0' or '+'
in the version string, all else is treated as a release. The version string
itself is set from the output of ``git describe`` which relies on tags.
Examples
--------
Valid Development: 1.22.0.dev0 1.22.0.... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_public_api.py | import sys
import sysconfig
import subprocess
import pkgutil
import types
import importlib
import inspect
import warnings
import numpy as np
import numpy
from numpy.testing import IS_WASM
import pytest
try:
import ctypes
except ImportError:
ctypes = None
def check_dir(module, module_name=None):
"""Retu... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_numpy_config.py | """
Check the numpy config is valid.
"""
import numpy as np
import pytest
from unittest.mock import Mock, patch
pytestmark = pytest.mark.skipif(
not hasattr(np.__config__, "_built_with_meson"),
reason="Requires Meson builds",
)
class TestNumPyConfigs:
REQUIRED_CONFIG_KEYS = [
"Compilers",
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/tests/test_warnings.py | """
Tests which scan for certain occurrences in the code, they may not find
all of these occurrences but should catch almost all.
"""
import pytest
from pathlib import Path
import ast
import tokenize
import numpy
class ParseCall(ast.NodeVisitor):
def __init__(self):
self.ls = []
def visit_Attribute(s... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_pyinstaller/hook-numpy.py | """This hook should collect all binary files and any hidden modules that numpy
needs.
Our (some-what inadequate) docs for writing PyInstaller hooks are kept here:
https://pyinstaller.readthedocs.io/en/stable/hooks.html
"""
from PyInstaller.compat import is_conda, is_pure_conda
from PyInstaller.utils.hooks import coll... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_pyinstaller/pyinstaller-smoke.py | """A crude *bit of everything* smoke test to verify PyInstaller compatibility.
PyInstaller typically goes wrong by forgetting to package modules, extension
modules or shared libraries. This script should aim to touch as many of those
as possible in an attempt to trip a ModuleNotFoundError or a DLL load failure
due to ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_pyinstaller/test_pyinstaller.py | import subprocess
from pathlib import Path
import pytest
# PyInstaller has been very unproactive about replacing 'imp' with 'importlib'.
@pytest.mark.filterwarnings('ignore::DeprecationWarning')
# It also leaks io.BytesIO()s.
@pytest.mark.filterwarnings('ignore::ResourceWarning')
@pytest.mark.parametrize("mode", ["-... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_utils/_convertions.py | """
A set of methods retained from np.compat module that
are still used across codebase.
"""
__all__ = ["asunicode", "asbytes"]
def asunicode(s):
if isinstance(s, bytes):
return s.decode('latin1')
return str(s)
def asbytes(s):
if isinstance(s, bytes):
return s
return str(s).encode('... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_utils/_inspect.py | """Subset of inspect module from upstream python
We use this instead of upstream because upstream inspect is slow to import, and
significantly contributes to numpy import times. Importing this copy has almost
no overhead.
"""
import types
__all__ = ['getargspec', 'formatargspec']
# ---------------------------------... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_utils/_pep440.py | """Utility to compare pep440 compatible version strings.
The LooseVersion and StrictVersion classes that distutils provides don't
work; they don't recognize anything like alpha/beta/rc/dev versions.
"""
# Copyright (c) Donald Stufft and individual contributors.
# All rights reserved.
# Redistribution and use in sour... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_utils/__init__.py | """
This is a module for defining private helpers which do not depend on the
rest of NumPy.
Everything in here must be self-contained so that it can be
imported anywhere else without creating circular imports.
If a utility requires the import of NumPy, it probably belongs
in ``numpy._core``.
"""
from ._convertions im... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/matrixlib/__init__.pyi | from numpy._pytesttester import PytestTester
from numpy import (
matrix as matrix,
)
from numpy.matrixlib.defmatrix import (
bmat as bmat,
mat as mat,
asmatrix as asmatrix,
)
__all__: list[str]
test: PytestTester
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/matrixlib/defmatrix.py | __all__ = ['matrix', 'bmat', 'asmatrix']
import sys
import warnings
import ast
from .._utils import set_module
import numpy._core.numeric as N
from numpy._core.numeric import concatenate, isscalar
# While not in __all__, matrix_power used to be defined here, so we import
# it for backward compatibility.
from numpy.li... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/matrixlib/defmatrix.pyi | from collections.abc import Sequence, Mapping
from typing import Any
from numpy import matrix as matrix
from numpy._typing import ArrayLike, DTypeLike, NDArray
__all__: list[str]
def bmat(
obj: str | Sequence[ArrayLike] | NDArray[Any],
ldict: None | Mapping[str, Any] = ...,
gdict: None | Mapping[str, Any]... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/matrixlib/__init__.py | """Sub-package containing the matrix class and related functions.
"""
from . import defmatrix
from .defmatrix import *
__all__ = defmatrix.__all__
from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester
| 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_interaction.py | """Tests of interaction of matrix with other parts of numpy.
Note that tests with MaskedArray and linalg are done in separate files.
"""
import pytest
import textwrap
import warnings
import numpy as np
from numpy.testing import (assert_, assert_equal, assert_raises,
assert_raises_regex, as... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_masked_matrix.py | import pickle
import numpy as np
from numpy.testing import assert_warns
from numpy.ma.testutils import (assert_, assert_equal, assert_raises,
assert_array_equal)
from numpy.ma.core import (masked_array, masked_values, masked, allequal,
MaskType, getmask, Maske... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_regression.py | import numpy as np
from numpy.testing import assert_, assert_equal, assert_raises
class TestRegression:
def test_kron_matrix(self):
# Ticket #71
x = np.matrix('[1 0; 1 0]')
assert_equal(type(np.kron(x, x)), type(x))
def test_matrix_properties(self):
# Ticket #125
a = n... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_multiarray.py | import numpy as np
from numpy.testing import assert_, assert_equal, assert_array_equal
class TestView:
def test_type(self):
x = np.array([1, 2, 3])
assert_(isinstance(x.view(np.matrix), np.matrix))
def test_keywords(self):
x = np.array([(1, 2)], dtype=[('a', np.int8), ('b', np.int8)])
... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_defmatrix.py | import collections.abc
import numpy as np
from numpy import matrix, asmatrix, bmat
from numpy.testing import (
assert_, assert_equal, assert_almost_equal, assert_array_equal,
assert_array_almost_equal, assert_raises
)
from numpy.linalg import matrix_power
class TestCtor:
def test_basic(self):
... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_matrix_linalg.py | """ Test functions for linalg module using the matrix class."""
import numpy as np
from numpy.linalg.tests.test_linalg import (
LinalgCase, apply_tag, TestQR as _TestQR, LinalgTestCase,
_TestNorm2D, _TestNormDoubleBase, _TestNormSingleBase, _TestNormInt64Base,
SolveCases, InvCases, EigvalsCases, EigCases, ... | 0 |
public_repos/numpy/numpy/matrixlib | public_repos/numpy/numpy/matrixlib/tests/test_numeric.py | import numpy as np
from numpy.testing import assert_equal
class TestDot:
def test_matscalar(self):
b1 = np.matrix(np.ones((3, 3), dtype=complex))
assert_equal(b1*1.0, b1)
def test_diagonal():
b1 = np.matrix([[1,2],[3,4]])
diag_b1 = np.matrix([[1, 4]])
array_b1 = np.array([1, 4])
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/__init__.pyi | from numpy._pytesttester import PytestTester
from numpy.polynomial import (
chebyshev as chebyshev,
hermite as hermite,
hermite_e as hermite_e,
laguerre as laguerre,
legendre as legendre,
polynomial as polynomial,
)
from numpy.polynomial.chebyshev import Chebyshev as Chebyshev
from numpy.polyno... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/chebyshev.pyi | from typing import Any
from numpy import int_
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
chebtrim = trimcoef
def poly2cheb(pol): ...
def cheb2poly(c): ...
chebdomain: NDArray[int_]
chebzero: NDArray[int_]
ch... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/polynomial.pyi | from typing import Any
from numpy import int_
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
polytrim = trimcoef
polydomain: NDArray[int_]
polyzero: NDArray[int_]
polyone: NDArray[int_]
polyx: NDArray[int_]
def ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/hermite_e.py | """
===================================================================
HermiteE Series, "Probabilists" (:mod:`numpy.polynomial.hermite_e`)
===================================================================
This module provides a number of objects (mostly functions) useful for
dealing with Hermite_e series, including... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/polyutils.pyi | __all__: list[str]
def trimseq(seq): ...
def as_series(alist, trim=...): ...
def trimcoef(c, tol=...): ...
def getdomain(x): ...
def mapparms(old, new): ...
def mapdomain(x, old, new): ...
def format_float(x, parens=...): ...
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/legendre.pyi | from typing import Any
from numpy import int_
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
legtrim = trimcoef
def poly2leg(pol): ...
def leg2poly(c): ...
legdomain: NDArray[int_]
legzero: NDArray[int_]
legone:... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/legendre.py | """
==================================================
Legendre Series (:mod:`numpy.polynomial.legendre`)
==================================================
This module provides a number of objects (mostly functions) useful for
dealing with Legendre series, including a `Legendre` class that
encapsulates the usual arit... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/chebyshev.py | """
====================================================
Chebyshev Series (:mod:`numpy.polynomial.chebyshev`)
====================================================
This module provides a number of objects (mostly functions) useful for
dealing with Chebyshev series, including a `Chebyshev` class that
encapsulates the us... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/_polybase.py | """
Abstract base class for the various polynomial Classes.
The ABCPolyBase class provides the methods needed to implement the common API
for the various polynomial classes. It operates as a mixin, but uses the
abc module from the stdlib, hence it is only available for Python >= 2.6.
"""
import os
import abc
import n... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/hermite.py | """
==============================================================
Hermite Series, "Physicists" (:mod:`numpy.polynomial.hermite`)
==============================================================
This module provides a number of objects (mostly functions) useful for
dealing with Hermite series, including a `Hermite` clas... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/polynomial.py | """
=================================================
Power Series (:mod:`numpy.polynomial.polynomial`)
=================================================
This module provides a number of objects (mostly functions) useful for
dealing with polynomials, including a `Polynomial` class that
encapsulates the usual arithmeti... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/polyutils.py | """
Utility classes and functions for the polynomial modules.
This module provides: error and warning objects; a polynomial base class;
and some routines used in both the `polynomial` and `chebyshev` modules.
Functions
---------
.. autosummary::
:toctree: generated/
as_series convert list of array_likes in... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/_polybase.pyi | import abc
from typing import Any, ClassVar
__all__: list[str]
class ABCPolyBase(abc.ABC):
__hash__: ClassVar[None] # type: ignore[assignment]
__array_ufunc__: ClassVar[None]
maxpower: ClassVar[int]
coef: Any
@property
def symbol(self) -> str: ...
@property
@abc.abstractmethod
def... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/laguerre.pyi | from typing import Any
from numpy import int_
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
lagtrim = trimcoef
def poly2lag(pol): ...
def lag2poly(c): ...
lagdomain: NDArray[int_]
lagzero: NDArray[int_]
lagone:... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/hermite.pyi | from typing import Any
from numpy import int_, float64
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
hermtrim = trimcoef
def poly2herm(pol): ...
def herm2poly(c): ...
hermdomain: NDArray[int_]
hermzero: NDArray... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/hermite_e.pyi | from typing import Any
from numpy import int_
from numpy.typing import NDArray
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
hermetrim = trimcoef
def poly2herme(pol): ...
def herme2poly(c): ...
hermedomain: NDArray[int_]
hermezero: NDArray[int... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/laguerre.py | """
==================================================
Laguerre Series (:mod:`numpy.polynomial.laguerre`)
==================================================
This module provides a number of objects (mostly functions) useful for
dealing with Laguerre series, including a `Laguerre` class that
encapsulates the usual arit... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/polynomial/__init__.py | """
A sub-package for efficiently dealing with polynomials.
Within the documentation for this sub-package, a "finite power series,"
i.e., a polynomial (also referred to simply as a "series") is represented
by a 1-D numpy array of the polynomial's coefficients, ordered from lowest
order term to highest. For example, a... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_hermite.py | """Tests for hermite module.
"""
from functools import reduce
import numpy as np
import numpy.polynomial.hermite as herm
from numpy.polynomial.polynomial import polyval
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
H0 = np.array([1])
H1 = np.array([0, 2])
H2 = np.ar... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_chebyshev.py | """Tests for chebyshev module.
"""
from functools import reduce
import numpy as np
import numpy.polynomial.chebyshev as cheb
from numpy.polynomial.polynomial import polyval
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
def trim(x):
return cheb.chebtrim(x, tol=1... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_laguerre.py | """Tests for laguerre module.
"""
from functools import reduce
import numpy as np
import numpy.polynomial.laguerre as lag
from numpy.polynomial.polynomial import polyval
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
L0 = np.array([1])/1
L1 = np.array([1, -1])/1
L2 =... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_hermite_e.py | """Tests for hermite_e module.
"""
from functools import reduce
import numpy as np
import numpy.polynomial.hermite_e as herme
from numpy.polynomial.polynomial import polyval
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
He0 = np.array([1])
He1 = np.array([0, 1])
He2... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_classes.py | """Test inter-conversion of different polynomial classes.
This tests the convert and cast methods of all the polynomial classes.
"""
import operator as op
from numbers import Number
import pytest
import numpy as np
from numpy.polynomial import (
Polynomial, Legendre, Chebyshev, Laguerre, Hermite, HermiteE)
from ... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_printing.py | from math import nan, inf
import pytest
from numpy._core import array, arange, printoptions
import numpy.polynomial as poly
from numpy.testing import assert_equal, assert_
# For testing polynomial printing with object arrays
from fractions import Fraction
from decimal import Decimal
class TestStrUnicodeSuperSubscrip... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_polynomial.py | """Tests for polynomial module.
"""
from functools import reduce
from fractions import Fraction
import numpy as np
import numpy.polynomial.polynomial as poly
import pickle
from copy import deepcopy
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
assert_array_equal, assert... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_symbol.py | """
Tests related to the ``symbol`` attribute of the ABCPolyBase class.
"""
import pytest
import numpy.polynomial as poly
from numpy._core import array
from numpy.testing import assert_equal, assert_raises, assert_
class TestInit:
"""
Test polynomial creation with symbol kwarg.
"""
c = [1, 2, 3]
... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_legendre.py | """Tests for legendre module.
"""
from functools import reduce
import numpy as np
import numpy.polynomial.legendre as leg
from numpy.polynomial.polynomial import polyval
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
L0 = np.array([1])
L1 = np.array([0, 1])
L2 = np.a... | 0 |
public_repos/numpy/numpy/polynomial | public_repos/numpy/numpy/polynomial/tests/test_polyutils.py | """Tests for polyutils module.
"""
import numpy as np
import numpy.polynomial.polyutils as pu
from numpy.testing import (
assert_almost_equal, assert_raises, assert_equal, assert_,
)
class TestMisc:
def test_trimseq(self):
tgt = [1]
for num_trailing_zeros in range(5):
res = p... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/testing/__init__.pyi | from numpy._pytesttester import PytestTester
from unittest import (
TestCase as TestCase,
)
from numpy.testing._private.utils import (
assert_equal as assert_equal,
assert_almost_equal as assert_almost_equal,
assert_approx_equal as assert_approx_equal,
assert_array_equal as assert_array_equal,
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/testing/print_coercion_tables.py | #!/usr/bin/env python3
"""Prints type-coercion tables for the built-in NumPy types
"""
import numpy as np
from numpy._core.numerictypes import obj2sctype
from collections import namedtuple
# Generic object that can be added, but doesn't do anything else
class GenericObject:
def __init__(self, v):
self.v =... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/testing/overrides.py | """Tools for testing implementations of __array_function__ and ufunc overrides
"""
from numpy._core.overrides import ARRAY_FUNCTIONS as _array_functions
from numpy import ufunc as _ufunc
import numpy._core.umath as _umath
def get_overridable_numpy_ufuncs():
"""List all numpy ufuncs overridable via `__array_ufun... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/testing/__init__.py | """Common test support for all numpy test scripts.
This single module should provide all the common functionality for numpy tests
in a single location, so that test scripts can just import it and work right
away.
"""
from unittest import TestCase
from . import _private
from ._private.utils import *
from ._private.ut... | 0 |
public_repos/numpy/numpy/testing | public_repos/numpy/numpy/testing/tests/test_utils.py | import warnings
import sys
import os
import itertools
import pytest
import weakref
import re
import numpy as np
import numpy._core._multiarray_umath as ncu
from numpy.testing import (
assert_equal, assert_array_equal, assert_almost_equal,
assert_array_almost_equal, assert_array_less, build_err_msg,
assert_... | 0 |
public_repos/numpy/numpy/testing | public_repos/numpy/numpy/testing/_private/utils.py | """
Utility function to facilitate testing.
"""
import os
import sys
import platform
import re
import gc
import operator
import warnings
from functools import partial, wraps
import shutil
import contextlib
from tempfile import mkdtemp, mkstemp
from unittest.case import SkipTest
from warnings import WarningMessage
impo... | 0 |
public_repos/numpy/numpy/testing | public_repos/numpy/numpy/testing/_private/utils.pyi | import os
import sys
import ast
import types
import warnings
import unittest
import contextlib
from re import Pattern
from collections.abc import Callable, Iterable, Sequence
from typing import (
Literal as L,
Any,
AnyStr,
ClassVar,
NoReturn,
overload,
type_check_only,
TypeVar,
Final... | 0 |
public_repos/numpy/numpy/testing | public_repos/numpy/numpy/testing/_private/extbuild.py | """
Build a c-extension module on-the-fly in tests.
See build_and_import_extensions for usage hints
"""
import os
import pathlib
import subprocess
import sys
import sysconfig
import textwrap
__all__ = ['build_and_import_extension', 'compile_extension_module']
def build_and_import_extension(
modname, functi... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/einsumfunc.py | """
Implementation of optimized einsum.
"""
import itertools
import operator
from numpy._core.multiarray import c_einsum
from numpy._core.numeric import asanyarray, tensordot
from numpy._core.overrides import array_function_dispatch
__all__ = ['einsum', 'einsum_path']
# importing string for string.ascii_letters wou... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_asarray.pyi | from collections.abc import Iterable
from typing import Any, TypeVar, overload, Literal
from numpy._typing import NDArray, DTypeLike, _SupportsArrayFunc
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
_Requirements = Literal[
"C", "C_CONTIGUOUS", "CONTIGUOUS",
"F", "F_CONTIGUOUS", "FORTRAN",
"A", ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/__init__.pyi | # NOTE: The `np._core` namespace is deliberately kept empty due to it
# being private
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/config.h.in | #mesondefine SIZEOF_PY_INTPTR_T
#mesondefine SIZEOF_OFF_T
#mesondefine SIZEOF_PY_LONG_LONG
#mesondefine HAVE_BACKTRACE
#mesondefine HAVE_MADVISE
#mesondefine HAVE_FTELLO
#mesondefine HAVE_FSEEKO
#mesondefine HAVE_FALLOCATE
#mesondefine HAVE_STRTOLD_L
#mesondefine HAVE__THREAD
#mesondefine HAVE___DECLSPEC_THREAD_
/* O... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_dtype_ctypes.py | """
Conversion from ctypes to dtype.
In an ideal world, we could achieve this through the PEP3118 buffer protocol,
something like::
def dtype_from_ctypes_type(t):
# needed to ensure that the shape of `t` is within memoryview.format
class DummyStruct(ctypes.Structure):
_fields_ = [('a',... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_ufunc_config.py | """
Functions for changing global ufunc configuration
This provides helpers which wrap `_get_extobj_dict` and `_make_extobj`, and
`_extobj_contextvar` from umath.
"""
import collections.abc
import contextlib
import contextvars
import functools
from .._utils import set_module
from .umath import _make_extobj, _get_exto... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/check_longdouble.c | /* "before" is 16 bytes to ensure there's no padding between it and "x".
* We're not expecting any "long double" bigger than 16 bytes or with
* alignment requirements stricter than 16 bytes. */
typedef long double test_type;
struct {
char before[16];
test_type x;
char ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/numerictypes.py | """
numerictypes: Define the numeric type objects
This module is designed so "from numerictypes import \\*" is safe.
Exported symbols include:
Dictionary with all registered number types (including aliases):
sctypeDict
Type objects (not all will be available, depends on platform):
see variable sctypes ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_dtype.py | """
A place for code to be called from the implementation of np.dtype
String handling is much easier to do correctly in python.
"""
import numpy as np
_kind_to_stem = {
'u': 'uint',
'i': 'int',
'c': 'complex',
'f': 'float',
'b': 'bool',
'V': 'void',
'O': 'object',
'M': 'datetime',
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/fromnumeric.pyi | from collections.abc import Sequence
from typing import Any, overload, TypeVar, Literal, SupportsIndex
from numpy import (
number,
uint64,
int_,
int64,
intp,
float16,
bool_,
floating,
complexfloating,
object_,
generic,
_OrderKACF,
_OrderACF,
_ModeKind,
_Parti... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_type_aliases.pyi | from typing import Any, TypedDict
from numpy import generic, signedinteger, unsignedinteger, floating, complexfloating
class _SCTypes(TypedDict):
int: list[type[signedinteger[Any]]]
uint: list[type[unsignedinteger[Any]]]
float: list[type[floating[Any]]]
complex: list[type[complexfloating[Any, Any]]]
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/numerictypes.pyi | import sys
import types
from typing import (
Literal as L,
overload,
Any,
TypeVar,
Protocol,
TypedDict,
)
from numpy import (
ndarray,
dtype,
generic,
bool_,
ubyte,
ushort,
uintc,
ulong,
ulonglong,
byte,
short,
intc,
long,
longlong,
ha... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/defchararray.pyi | from typing import (
Literal as L,
overload,
TypeVar,
Any,
SupportsIndex,
SupportsInt,
)
from numpy import (
ndarray,
dtype,
str_,
bytes_,
int_,
bool_,
object_,
_OrderKACF,
_ShapeType,
_CharDType,
_SupportsBuffer,
)
from numpy._typing import (
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/memmap.pyi | from numpy import memmap as memmap
__all__: list[str]
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/meson.build | # Potential issues to address or keep track of:
# - sincos detection incorrect on NetBSD: https://github.com/mesonbuild/meson/issues/10641
# Versioning support
#-------------------
#
# How to change C_API_VERSION ?
# - increase C_API_VERSION value
# - record the hash for the new C API with the cversions.py scrip... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/numeric.pyi | from collections.abc import Callable, Sequence
from typing import (
Any,
overload,
TypeVar,
Literal,
SupportsAbs,
SupportsIndex,
NoReturn,
)
if sys.version_info >= (3, 10):
from typing import TypeGuard
else:
from typing_extensions import TypeGuard
from numpy import (
ComplexWarn... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_add_newdocs_scalars.py | """
This file is separate from ``_add_newdocs.py`` so that it can be mocked out by
our sphinx ``conf.py`` during doc builds, where we want to avoid showing
platform-dependent information.
"""
import sys
import os
from numpy._core import dtype
from numpy._core import numerictypes as _numerictypes
from numpy._core.functi... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_internal.py | """
A place for internal code
Some things are more easily handled Python.
"""
import ast
import re
import sys
import warnings
from ..exceptions import DTypePromotionError
from .multiarray import dtype, array, ndarray, promote_types
try:
import ctypes
except ImportError:
ctypes = None
IS_PYPY = sys.implement... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/shape_base.pyi | from collections.abc import Sequence
from typing import TypeVar, overload, Any, SupportsIndex
from numpy import generic, _CastingKind
from numpy._typing import (
NDArray,
ArrayLike,
DTypeLike,
_ArrayLike,
_DTypeLike,
)
_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=... | 0 |
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