import warnings
import io
import re
import pytest
from pathlib import Path
from tempfile import NamedTemporaryFile
from io import BytesIO, StringIO
from datetime import datetime
import locale

            

Reported by Pylint.

              
        def writer(error_list):
            with temppath(suffix='.npz') as tmp:
                arr = np.random.randn(500, 500)
                try:
                    np.savez(tmp, arr=arr)
                except OSError as err:
                    error_list.append(err)


            

Reported by Pylint.

                          try:
                # The test takes at least 6GB of memory, writes a file larger
                # than 4GB. This tests the ``allowZip64`` kwarg to ``zipfile``
                test_data = np.asarray([np.random.rand(
                                        np.random.randint(50,100),4)
                                        for i in range(800000)], dtype=object)
                with tempdir() as tmpdir:
                    np.savez(os.path.join(tmpdir, 'test.npz'),
                             test_data=test_data)

            

Reported by Pylint.

                              # The test takes at least 6GB of memory, writes a file larger
                # than 4GB. This tests the ``allowZip64`` kwarg to ``zipfile``
                test_data = np.asarray([np.random.rand(
                                        np.random.randint(50,100),4)
                                        for i in range(800000)], dtype=object)
                with tempdir() as tmpdir:
                    np.savez(os.path.join(tmpdir, 'test.npz'),
                             test_data=test_data)
            except MemoryError:

            

Reported by Pylint.

                              with temppath(suffix=suffix) as name:
                    with fopen(name, mode='wt', encoding='UTF-32-LE') as f:
                        f.write(data)
                    res = self.loadfunc(name, encoding='UTF-32-LE')
                    assert_array_equal(res, wanted)
                    with fopen(name, "rt",  encoding='UTF-32-LE') as f:
                        res = self.loadfunc(f)
                    assert_array_equal(res, wanted)


            

Reported by Pylint.

                                  res = self.loadfunc(name, encoding='UTF-32-LE')
                    assert_array_equal(res, wanted)
                    with fopen(name, "rt",  encoding='UTF-32-LE') as f:
                        res = self.loadfunc(f)
                    assert_array_equal(res, wanted)

    def test_compressed_gzip(self):
        self.check_compressed(gzip.open, ('.gz',))


            

Reported by Pylint.

                      with temppath() as path:
            with open(path, "wb") as f:
                f.write('0.\n1.\n2.'.encode("UTF-16"))
            x = self.loadfunc(path, encoding="UTF-16")
            assert_array_equal(x, [0., 1., 2.])

    def test_stringload(self):
        # umlaute
        nonascii = b'\xc3\xb6\xc3\xbc\xc3\xb6'.decode("UTF-8")

            

Reported by Pylint.

                      with temppath() as path:
            with open(path, "wb") as f:
                f.write(nonascii.encode("UTF-16"))
            x = self.loadfunc(path, encoding="UTF-16", dtype=np.unicode_)
            assert_array_equal(x, nonascii)

    def test_binary_decode(self):
        utf16 = b'\xff\xfeh\x04 \x00i\x04 \x00j\x04'
        v = self.loadfunc(BytesIO(utf16), dtype=np.unicode_, encoding='UTF-16')

            

Reported by Pylint.

              
    def test_binary_decode(self):
        utf16 = b'\xff\xfeh\x04 \x00i\x04 \x00j\x04'
        v = self.loadfunc(BytesIO(utf16), dtype=np.unicode_, encoding='UTF-16')
        assert_array_equal(v, np.array(utf16.decode('UTF-16').split()))

    def test_converters_decode(self):
        # test converters that decode strings
        c = TextIO()

            

Reported by Pylint.

                      c = TextIO()
        c.write(b'\xcf\x96')
        c.seek(0)
        x = self.loadfunc(c, dtype=np.unicode_,
                          converters={0: lambda x: x.decode('UTF-8')})
        a = np.array([b'\xcf\x96'.decode('UTF-8')])
        assert_array_equal(x, a)

    def test_converters_nodecode(self):

            

Reported by Pylint.

              __all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

def empty(shape, dtype=None, order='C'):
    """Return a new matrix of given shape and type, without initializing entries.

    Parameters
    ----------
    shape : int or tuple of int

            

Reported by Pylint.

                  """
    return ndarray.__new__(matrix, shape, dtype, order=order)

def ones(shape, dtype=None, order='C'):
    """
    Matrix of ones.

    Return a matrix of given shape and type, filled with ones.


            

Reported by Pylint.

                  a.fill(1)
    return a

def zeros(shape, dtype=None, order='C'):
    """
    Return a matrix of given shape and type, filled with zeros.

    Parameters
    ----------

            

Reported by Pylint.

                  a.fill(0)
    return a

def identity(n,dtype=None):
    """
    Returns the square identity matrix of given size.

    Parameters
    ----------

            

Reported by Pylint.

                  b.flat = a
    return b

def eye(n,M=None, k=0, dtype=float, order='C'):
    """
    Return a matrix with ones on the diagonal and zeros elsewhere.

    Parameters
    ----------

            

Reported by Pylint.

              # Matlib.py contains all functions in the numpy namespace with a few
# replacements. See doc/source/reference/routines.matlib.rst for details.
# Need * as we're copying the numpy namespace.
from numpy import *  # noqa: F403

__version__ = np.__version__

__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

            

Reported by Pylint.

              # Matlib.py contains all functions in the numpy namespace with a few
# replacements. See doc/source/reference/routines.matlib.rst for details.
# Need * as we're copying the numpy namespace.
from numpy import *  # noqa: F403

__version__ = np.__version__

__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

            

Reported by Pylint.

              # Matlib.py contains all functions in the numpy namespace with a few
# replacements. See doc/source/reference/routines.matlib.rst for details.
# Need * as we're copying the numpy namespace.
from numpy import *  # noqa: F403

__version__ = np.__version__

__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

            

Reported by Pylint.

              # Matlib.py contains all functions in the numpy namespace with a few
# replacements. See doc/source/reference/routines.matlib.rst for details.
# Need * as we're copying the numpy namespace.
from numpy import *  # noqa: F403

__version__ = np.__version__

__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

            

Reported by Pylint.

              # Matlib.py contains all functions in the numpy namespace with a few
# replacements. See doc/source/reference/routines.matlib.rst for details.
# Need * as we're copying the numpy namespace.
from numpy import *  # noqa: F403

__version__ = np.__version__

__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']

            

Reported by Pylint.

              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
        )

            

Reported by Pylint.

              
class TestSeed:
    def test_scalar(self):
        s = random.RandomState(0)
        assert_equal(s.randint(1000), 684)
        s = random.RandomState(4294967295)
        assert_equal(s.randint(1000), 419)

    def test_array(self):

            

Reported by Pylint.

                  def test_scalar(self):
        s = random.RandomState(0)
        assert_equal(s.randint(1000), 684)
        s = random.RandomState(4294967295)
        assert_equal(s.randint(1000), 419)

    def test_array(self):
        s = random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 419)

    def test_array(self):
        s = random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)
        s = random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = random.RandomState([0])
        assert_equal(s.randint(1000), 973)

            

Reported by Pylint.

                  def test_array(self):
        s = random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)
        s = random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 468)
        s = random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

    def test_invalid_scalar(self):

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 468)
        s = random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

    def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, -0.5)

            

Reported by Pylint.

              
    def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, -0.5)
        assert_raises(ValueError, random.RandomState, -1)

    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, [-0.5])

            

Reported by Pylint.

                  def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, -0.5)
        assert_raises(ValueError, random.RandomState, -1)

    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, [-0.5])
        assert_raises(ValueError, random.RandomState, [-1])

            

Reported by Pylint.

              
    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, random.RandomState, [-0.5])
        assert_raises(ValueError, random.RandomState, [-1])
        assert_raises(ValueError, random.RandomState, [4294967296])
        assert_raises(ValueError, random.RandomState, [1, 2, 4294967296])
        assert_raises(ValueError, random.RandomState, [1, -2, 4294967296])


            

Reported by Pylint.

              """
import warnings
import itertools
import pytest

import numpy as np
from numpy.testing import (
    assert_warns, suppress_warnings
    )

            

Reported by Pylint.

                      c = mr_[d, 0, 0, d]
        assert_(isinstance(c, MaskedArray))
        assert_array_equal(c, [1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1])
        assert_array_equal(c.mask, mr_[m, 0, 0, m])

    def test_2d(self):
        # Tests mr_ on 2D arrays.
        a_1 = np.random.rand(5, 5)
        a_2 = np.random.rand(5, 5)

            

Reported by Pylint.

              
    def test_2d(self):
        # Tests mr_ on 2D arrays.
        a_1 = np.random.rand(5, 5)
        a_2 = np.random.rand(5, 5)
        m_1 = np.round_(np.random.rand(5, 5), 0)
        m_2 = np.round_(np.random.rand(5, 5), 0)
        b_1 = masked_array(a_1, mask=m_1)
        b_2 = masked_array(a_2, mask=m_2)

            

Reported by Pylint.

                  def test_2d(self):
        # Tests mr_ on 2D arrays.
        a_1 = np.random.rand(5, 5)
        a_2 = np.random.rand(5, 5)
        m_1 = np.round_(np.random.rand(5, 5), 0)
        m_2 = np.round_(np.random.rand(5, 5), 0)
        b_1 = masked_array(a_1, mask=m_1)
        b_2 = masked_array(a_2, mask=m_2)
        # append columns

            

Reported by Pylint.

                      # Tests mr_ on 2D arrays.
        a_1 = np.random.rand(5, 5)
        a_2 = np.random.rand(5, 5)
        m_1 = np.round_(np.random.rand(5, 5), 0)
        m_2 = np.round_(np.random.rand(5, 5), 0)
        b_1 = masked_array(a_1, mask=m_1)
        b_2 = masked_array(a_2, mask=m_2)
        # append columns
        d = mr_['1', b_1, b_2]

            

Reported by Pylint.

                      a_1 = np.random.rand(5, 5)
        a_2 = np.random.rand(5, 5)
        m_1 = np.round_(np.random.rand(5, 5), 0)
        m_2 = np.round_(np.random.rand(5, 5), 0)
        b_1 = masked_array(a_1, mask=m_1)
        b_2 = masked_array(a_2, mask=m_2)
        # append columns
        d = mr_['1', b_1, b_2]
        assert_(d.shape == (5, 10))

            

Reported by Pylint.

                      assert_(d.shape == (5, 10))
        assert_array_equal(d[:, :5], b_1)
        assert_array_equal(d[:, 5:], b_2)
        assert_array_equal(d.mask, np.r_['1', m_1, m_2])
        d = mr_[b_1, b_2]
        assert_(d.shape == (10, 5))
        assert_array_equal(d[:5,:], b_1)
        assert_array_equal(d[5:,:], b_2)
        assert_array_equal(d.mask, np.r_[m_1, m_2])

            

Reported by Pylint.

                      assert_(d.shape == (10, 5))
        assert_array_equal(d[:5,:], b_1)
        assert_array_equal(d[5:,:], b_2)
        assert_array_equal(d.mask, np.r_[m_1, m_2])

    def test_masked_constant(self):
        actual = mr_[np.ma.masked, 1]
        assert_equal(actual.mask, [True, False])
        assert_equal(actual.data[1], 1)

            

Reported by Pylint.

              
    def test_masked_constant(self):
        actual = mr_[np.ma.masked, 1]
        assert_equal(actual.mask, [True, False])
        assert_equal(actual.data[1], 1)

        actual = mr_[[1, 2], np.ma.masked]
        assert_equal(actual.mask, [False, False, True])
        assert_equal(actual.data[:2], [1, 2])

            

Reported by Pylint.

                  def test_masked_constant(self):
        actual = mr_[np.ma.masked, 1]
        assert_equal(actual.mask, [True, False])
        assert_equal(actual.data[1], 1)

        actual = mr_[[1, 2], np.ma.masked]
        assert_equal(actual.mask, [False, False, True])
        assert_equal(actual.data[:2], [1, 2])


            

Reported by Pylint.

              import itertools
import sys

import pytest

import numpy as np
import numpy.core._umath_tests as umt
import numpy.linalg._umath_linalg as uml
import numpy.core._operand_flag_tests as opflag_tests

            

Reported by Pylint.

              import pytest

import numpy as np
import numpy.core._umath_tests as umt
import numpy.linalg._umath_linalg as uml
import numpy.core._operand_flag_tests as opflag_tests
import numpy.core._rational_tests as _rational_tests
from numpy.testing import (
    assert_, assert_equal, assert_raises, assert_array_equal,

            

Reported by Pylint.

              
import numpy as np
import numpy.core._umath_tests as umt
import numpy.linalg._umath_linalg as uml
import numpy.core._operand_flag_tests as opflag_tests
import numpy.core._rational_tests as _rational_tests
from numpy.testing import (
    assert_, assert_equal, assert_raises, assert_array_equal,
    assert_almost_equal, assert_array_almost_equal, assert_no_warnings,

            

Reported by Pylint.

              import numpy as np
import numpy.core._umath_tests as umt
import numpy.linalg._umath_linalg as uml
import numpy.core._operand_flag_tests as opflag_tests
import numpy.core._rational_tests as _rational_tests
from numpy.testing import (
    assert_, assert_equal, assert_raises, assert_array_equal,
    assert_almost_equal, assert_array_almost_equal, assert_no_warnings,
    assert_allclose, HAS_REFCOUNT, suppress_warnings

            

Reported by Pylint.

              import numpy.core._umath_tests as umt
import numpy.linalg._umath_linalg as uml
import numpy.core._operand_flag_tests as opflag_tests
import numpy.core._rational_tests as _rational_tests
from numpy.testing import (
    assert_, assert_equal, assert_raises, assert_array_equal,
    assert_almost_equal, assert_array_almost_equal, assert_no_warnings,
    assert_allclose, HAS_REFCOUNT, suppress_warnings
    )

            

Reported by Pylint.

                      assert_allclose(ys, y)
        assert_equal(ys.dtype, output_dtype)

    def f2(x, y):
        return x**y

    @pytest.mark.parametrize('input_dtype,output_dtype', np_dtypes)
    def test_binary_PyUFunc(self, input_dtype, output_dtype, f=f2, x=0, y=1):
        xs = np.full(10, input_dtype(x), dtype=output_dtype)

            

Reported by Pylint.

              
    def test_sum_where(self):
        # More extensive tests done in test_reduction_with_where.
        assert_equal(np.sum([[1., 2.], [3., 4.]], where=[True, False]), 4.)
        assert_equal(np.sum([[1., 2.], [3., 4.]], axis=0, initial=5.,
                            where=[True, False]), [9., 5.])

    def test_inner1d(self):
        a = np.arange(6).reshape((2, 3))

            

Reported by Pylint.

                  def test_sum_where(self):
        # More extensive tests done in test_reduction_with_where.
        assert_equal(np.sum([[1., 2.], [3., 4.]], where=[True, False]), 4.)
        assert_equal(np.sum([[1., 2.], [3., 4.]], axis=0, initial=5.,
                            where=[True, False]), [9., 5.])

    def test_inner1d(self):
        a = np.arange(6).reshape((2, 3))
        assert_array_equal(umt.inner1d(a, a), np.sum(a*a, axis=-1))

            

Reported by Pylint.

                      assert_array_equal(res, np.zeros((10, 10)))

    def compare_matrix_multiply_results(self, tp):
        d1 = np.array(np.random.rand(2, 3, 4), dtype=tp)
        d2 = np.array(np.random.rand(2, 3, 4), dtype=tp)
        msg = "matrix multiply on type %s" % d1.dtype.name

        def permute_n(n):
            if n == 1:

            

Reported by Pylint.

              
    def compare_matrix_multiply_results(self, tp):
        d1 = np.array(np.random.rand(2, 3, 4), dtype=tp)
        d2 = np.array(np.random.rand(2, 3, 4), dtype=tp)
        msg = "matrix multiply on type %s" % d1.dtype.name

        def permute_n(n):
            if n == 1:
                return ([0],)

            

Reported by Pylint.

              import sys
import hashlib

import pytest

import numpy as np
from numpy.linalg import LinAlgError
from numpy.testing import (
    assert_, assert_raises, assert_equal, assert_allclose,

            

Reported by Pylint.

                      # This test addresses issue #3480.
        zeros = np.zeros(2, dtype='int')
        for p in [0, .5, 1]:
            assert_(random.binomial(0, p) == 0)
            assert_array_equal(random.binomial(zeros, p), zeros)

    def test_p_is_nan(self):
        # Issue #4571.
        assert_raises(ValueError, random.binomial, 1, np.nan)

            

Reported by Pylint.

                      random.multinomial(100, [0.2, 0.8, 0.0, 0.0, 0.0])

    def test_int_negative_interval(self):
        assert_(-5 <= random.integers(-5, -1) < -1)
        x = random.integers(-5, -1, 5)
        assert_(np.all(-5 <= x))
        assert_(np.all(x < -1))

    def test_size(self):

            

Reported by Pylint.

                  def test_int_negative_interval(self):
        assert_(-5 <= random.integers(-5, -1) < -1)
        x = random.integers(-5, -1, 5)
        assert_(np.all(-5 <= x))
        assert_(np.all(x < -1))

    def test_size(self):
        # gh-3173
        p = [0.5, 0.5]

            

Reported by Pylint.

                      assert_(-5 <= random.integers(-5, -1) < -1)
        x = random.integers(-5, -1, 5)
        assert_(np.all(-5 <= x))
        assert_(np.all(x < -1))

    def test_size(self):
        # gh-3173
        p = [0.5, 0.5]
        assert_equal(random.multinomial(1, p, np.uint32(1)).shape, (1, 2))

            

Reported by Pylint.

                      p = np.arange(15.)
        p /= np.sum(p[1::3])
        pvals = p[1::3]
        random = Generator(MT19937(1432985819))
        non_contig = random.multinomial(100, pvals=pvals)
        random = Generator(MT19937(1432985819))
        contig = random.multinomial(100, pvals=np.ascontiguousarray(pvals))
        assert_array_equal(non_contig, contig)


            

Reported by Pylint.

                      x = np.array([9.9e-01, 9.9e-01, 1.0e-09, 1.0e-09, 1.0e-09, 1.0e-09,
                      1.0e-09, 1.0e-09, 1.0e-09, 1.0e-09], dtype=np.float32)
        pvals = x / x.sum()
        random = Generator(MT19937(1432985819))
        match = r"[\w\s]*pvals array is cast to 64-bit floating"
        with pytest.raises(ValueError, match=match):
            random.multinomial(1, pvals)

class TestMultivariateHypergeometric:

            

Reported by Pylint.

              class TestMultivariateHypergeometric:

    def setup(self):
        self.seed = 8675309

    def test_argument_validation(self):
        # Error cases...

        # `colors` must be a 1-d sequence

            

Reported by Pylint.

                  def test_edge_cases(self, method):
        # Set the seed, but in fact, all the results in this test are
        # deterministic, so we don't really need this.
        random = Generator(MT19937(self.seed))

        x = random.multivariate_hypergeometric([0, 0, 0], 0, method=method)
        assert_array_equal(x, [0, 0, 0])

        x = random.multivariate_hypergeometric([], 0, method=method)

            

Reported by Pylint.

                  @pytest.mark.parametrize('method', ['count', 'marginals'])
    @pytest.mark.parametrize('size', [5, (2, 3), 150000])
    def test_typical_cases(self, nsample, method, size):
        random = Generator(MT19937(self.seed))

        colors = np.array([10, 5, 20, 25])
        sample = random.multivariate_hypergeometric(colors, nsample, size,
                                                    method=method)
        if isinstance(size, int):

            

Reported by Pylint.

              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

            

Reported by Pylint.

              
class TestSeed:
    def test_scalar(self):
        s = np.random.RandomState(0)
        assert_equal(s.randint(1000), 684)
        s = np.random.RandomState(4294967295)
        assert_equal(s.randint(1000), 419)

    def test_array(self):

            

Reported by Pylint.

                  def test_scalar(self):
        s = np.random.RandomState(0)
        assert_equal(s.randint(1000), 684)
        s = np.random.RandomState(4294967295)
        assert_equal(s.randint(1000), 419)

    def test_array(self):
        s = np.random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 419)

    def test_array(self):
        s = np.random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)
        s = np.random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = np.random.RandomState([0])
        assert_equal(s.randint(1000), 973)

            

Reported by Pylint.

                  def test_array(self):
        s = np.random.RandomState(range(10))
        assert_equal(s.randint(1000), 468)
        s = np.random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = np.random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = np.random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 468)
        s = np.random.RandomState(np.arange(10))
        assert_equal(s.randint(1000), 468)
        s = np.random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = np.random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

    def test_invalid_scalar(self):

            

Reported by Pylint.

                      assert_equal(s.randint(1000), 468)
        s = np.random.RandomState([0])
        assert_equal(s.randint(1000), 973)
        s = np.random.RandomState([4294967295])
        assert_equal(s.randint(1000), 265)

    def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, -0.5)

            

Reported by Pylint.

              
    def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, -0.5)
        assert_raises(ValueError, np.random.RandomState, -1)

    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, [-0.5])

            

Reported by Pylint.

                  def test_invalid_scalar(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, -0.5)
        assert_raises(ValueError, np.random.RandomState, -1)

    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, [-0.5])
        assert_raises(ValueError, np.random.RandomState, [-1])

            

Reported by Pylint.

              
    def test_invalid_array(self):
        # seed must be an unsigned 32 bit integer
        assert_raises(TypeError, np.random.RandomState, [-0.5])
        assert_raises(ValueError, np.random.RandomState, [-1])
        assert_raises(ValueError, np.random.RandomState, [4294967296])
        assert_raises(ValueError, np.random.RandomState, [1, 2, 4294967296])
        assert_raises(ValueError, np.random.RandomState, [1, -2, 4294967296])


            

Reported by Pylint.

              .. moduleauthor:: Pierre Gerard-Marchant

"""
# pylint: disable-msg=E1002
import builtins
import inspect
import operator
import warnings
import textwrap

            

Reported by Pylint.

                  def __call__(self, x):
        "Executes the call behavior."
        with np.errstate(invalid='ignore'):
            return umath.less(umath.absolute(umath.cos(x)), self.eps)


class _DomainSafeDivide:
    """
    Define a domain for safe division.

            

Reported by Pylint.

                  def __call__(self, x):
        "Executes the call behavior."
        with np.errstate(invalid='ignore'):
            return umath.less(umath.absolute(umath.cos(x)), self.eps)


class _DomainSafeDivide:
    """
    Define a domain for safe division.

            

Reported by Pylint.

                      # don't call ma ufuncs from __array_wrap__ which would fail for scalars
        a, b = np.asarray(a), np.asarray(b)
        with np.errstate(invalid='ignore'):
            return umath.absolute(a) * self.tolerance >= umath.absolute(b)


class _DomainGreater:
    """
    DomainGreater(v)(x) is True where x <= v.

            

Reported by Pylint.

                      # don't call ma ufuncs from __array_wrap__ which would fail for scalars
        a, b = np.asarray(a), np.asarray(b)
        with np.errstate(invalid='ignore'):
            return umath.absolute(a) * self.tolerance >= umath.absolute(b)


class _DomainGreater:
    """
    DomainGreater(v)(x) is True where x <= v.

            

Reported by Pylint.

                  def __call__(self, x):
        "Executes the call behavior."
        with np.errstate(invalid='ignore'):
            return umath.less_equal(x, self.critical_value)


class _DomainGreaterEqual:
    """
    DomainGreaterEqual(v)(x) is True where x < v.

            

Reported by Pylint.

              

# Unary ufuncs
exp = _MaskedUnaryOperation(umath.exp)
conjugate = _MaskedUnaryOperation(umath.conjugate)
sin = _MaskedUnaryOperation(umath.sin)
cos = _MaskedUnaryOperation(umath.cos)
arctan = _MaskedUnaryOperation(umath.arctan)
arcsinh = _MaskedUnaryOperation(umath.arcsinh)

            

Reported by Pylint.

              # Unary ufuncs
exp = _MaskedUnaryOperation(umath.exp)
conjugate = _MaskedUnaryOperation(umath.conjugate)
sin = _MaskedUnaryOperation(umath.sin)
cos = _MaskedUnaryOperation(umath.cos)
arctan = _MaskedUnaryOperation(umath.arctan)
arcsinh = _MaskedUnaryOperation(umath.arcsinh)
sinh = _MaskedUnaryOperation(umath.sinh)
cosh = _MaskedUnaryOperation(umath.cosh)

            

Reported by Pylint.

              exp = _MaskedUnaryOperation(umath.exp)
conjugate = _MaskedUnaryOperation(umath.conjugate)
sin = _MaskedUnaryOperation(umath.sin)
cos = _MaskedUnaryOperation(umath.cos)
arctan = _MaskedUnaryOperation(umath.arctan)
arcsinh = _MaskedUnaryOperation(umath.arcsinh)
sinh = _MaskedUnaryOperation(umath.sinh)
cosh = _MaskedUnaryOperation(umath.cosh)
tanh = _MaskedUnaryOperation(umath.tanh)

            

Reported by Pylint.

              sinh = _MaskedUnaryOperation(umath.sinh)
cosh = _MaskedUnaryOperation(umath.cosh)
tanh = _MaskedUnaryOperation(umath.tanh)
abs = absolute = _MaskedUnaryOperation(umath.absolute)
angle = _MaskedUnaryOperation(angle)  # from numpy.lib.function_base
fabs = _MaskedUnaryOperation(umath.fabs)
negative = _MaskedUnaryOperation(umath.negative)
floor = _MaskedUnaryOperation(umath.floor)
ceil = _MaskedUnaryOperation(umath.ceil)

            

Reported by Pylint.

              import sys
import pytest

import textwrap
import subprocess

import numpy as np
import numpy.core._multiarray_tests as _multiarray_tests
from numpy import array, arange, nditer, all

            

Reported by Pylint.

              import subprocess

import numpy as np
import numpy.core._multiarray_tests as _multiarray_tests
from numpy import array, arange, nditer, all
from numpy.testing import (
    assert_, assert_equal, assert_array_equal, assert_raises,
    HAS_REFCOUNT, suppress_warnings
    )

            

Reported by Pylint.

                  # force casting (to make it interesting) by using a structured dtype.
    arr = np.arange(10000).astype(">i,O")
    original = arr.copy()
    mask = np.random.randint(0, 2, size=10000).astype(bool)

    it = np.nditer([arr, mask], ['buffered', "refs_ok"],
                   [['readwrite', 'writemasked'],
                    ['readonly', 'arraymask']],
                   op_dtypes=["<i,O", "?"])

            

Reported by Pylint.

              
import numpy as np
import numpy.core._multiarray_tests as _multiarray_tests
from numpy import array, arange, nditer, all
from numpy.testing import (
    assert_, assert_equal, assert_array_equal, assert_raises,
    HAS_REFCOUNT, suppress_warnings
    )


            

Reported by Pylint.

                              [['readwrite', 'updateifcopy']],
                casting='unsafe',
                op_dtypes=[dt]) as it:
        assert_(not it.iterationneedsapi)
        assert_(sys.getrefcount(a) > rc_a)
        assert_(sys.getrefcount(dt) > rc_dt)
    # del 'it'
    it = None
    assert_equal(sys.getrefcount(a), rc_a)

            

Reported by Pylint.

                              casting='unsafe',
                op_dtypes=[dt]) as it:
        assert_(not it.iterationneedsapi)
        assert_(sys.getrefcount(a) > rc_a)
        assert_(sys.getrefcount(dt) > rc_dt)
    # del 'it'
    it = None
    assert_equal(sys.getrefcount(a), rc_a)
    assert_equal(sys.getrefcount(dt), rc_dt)

            

Reported by Pylint.

                              op_dtypes=[dt]) as it:
        assert_(not it.iterationneedsapi)
        assert_(sys.getrefcount(a) > rc_a)
        assert_(sys.getrefcount(dt) > rc_dt)
    # del 'it'
    it = None
    assert_equal(sys.getrefcount(a), rc_a)
    assert_equal(sys.getrefcount(dt), rc_dt)


            

Reported by Pylint.

                  rc2_a = sys.getrefcount(a)
    rc2_dt = sys.getrefcount(dt)
    it2 = it.copy()
    assert_(sys.getrefcount(a) > rc2_a)
    assert_(sys.getrefcount(dt) > rc2_dt)
    it = None
    assert_equal(sys.getrefcount(a), rc2_a)
    assert_equal(sys.getrefcount(dt), rc2_dt)
    it2 = None

            

Reported by Pylint.

                  rc2_dt = sys.getrefcount(dt)
    it2 = it.copy()
    assert_(sys.getrefcount(a) > rc2_a)
    assert_(sys.getrefcount(dt) > rc2_dt)
    it = None
    assert_equal(sys.getrefcount(a), rc2_a)
    assert_equal(sys.getrefcount(dt), rc2_dt)
    it2 = None
    assert_equal(sys.getrefcount(a), rc_a)

            

Reported by Pylint.

                  except ValueError as e:
        msg = str(e)
        # The message should contain the shape of the 3rd operand
        assert_(msg.find('(2,3)') >= 0,
                'Message "%s" doesn\'t contain operand shape (2,3)' % msg)
        # The message should contain the broadcast shape
        assert_(msg.find('(1,2,3)') >= 0,
                'Message "%s" doesn\'t contain broadcast shape (1,2,3)' % msg)


            

Reported by Pylint.

              import sys
import operator
import pytest
import ctypes
import gc
import warnings

import numpy as np
from numpy.core._rational_tests import rational

            

Reported by Pylint.

              import warnings

import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import create_custom_field_dtype
from numpy.testing import (
    assert_, assert_equal, assert_array_equal, assert_raises, HAS_REFCOUNT,
    IS_PYSTON)
from numpy.compat import pickle

            

Reported by Pylint.

              
import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import create_custom_field_dtype
from numpy.testing import (
    assert_, assert_equal, assert_array_equal, assert_raises, HAS_REFCOUNT,
    IS_PYSTON)
from numpy.compat import pickle
from itertools import permutations

            

Reported by Pylint.

              import pytest
import ctypes
import gc
import warnings

import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import create_custom_field_dtype
from numpy.testing import (

            

Reported by Pylint.

                               "two equivalent types do not hash to the same value !")

def assert_dtype_not_equal(a, b):
    assert_(a != b)
    assert_(hash(a) != hash(b),
            "two different types hash to the same value !")

class TestBuiltin:
    @pytest.mark.parametrize('t', [int, float, complex, np.int32, str, object,

            

Reported by Pylint.

              
def assert_dtype_not_equal(a, b):
    assert_(a != b)
    assert_(hash(a) != hash(b),
            "two different types hash to the same value !")

class TestBuiltin:
    @pytest.mark.parametrize('t', [int, float, complex, np.int32, str, object,
                                   np.compat.unicode])

            

Reported by Pylint.

                      dt2 = dt.newbyteorder("<")
        dt3 = dt.newbyteorder(">")
        if dt == dt2:
            assert_(dt.byteorder != dt2.byteorder, "bogus test")
            assert_dtype_equal(dt, dt2)
        else:
            assert_(dt.byteorder != dt3.byteorder, "bogus test")
            assert_dtype_equal(dt, dt3)


            

Reported by Pylint.

                          assert_(dt.byteorder != dt2.byteorder, "bogus test")
            assert_dtype_equal(dt, dt2)
        else:
            assert_(dt.byteorder != dt3.byteorder, "bogus test")
            assert_dtype_equal(dt, dt3)

    def test_equivalent_dtype_hashing(self):
        # Make sure equivalent dtypes with different type num hash equal
        uintp = np.dtype(np.uintp)

            

Reported by Pylint.

                      else:
            left = uintp
            right = np.dtype(np.ulonglong)
        assert_(left == right)
        assert_(hash(left) == hash(right))

    def test_invalid_types(self):
        # Make sure invalid type strings raise an error


            

Reported by Pylint.

                          left = uintp
            right = np.dtype(np.ulonglong)
        assert_(left == right)
        assert_(hash(left) == hash(right))

    def test_invalid_types(self):
        # Make sure invalid type strings raise an error

        assert_raises(TypeError, np.dtype, 'O3')

            

Reported by Pylint.