are tested (sometimes indirectly) elsewhere.
"""

import pytest
from pytest import param

from itertools import product

import numpy as np

            

Reported by Pylint.

              """

import pytest
from pytest import param

from itertools import product

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

            

Reported by Pylint.

              from itertools import product

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

from numpy.testing import (
    assert_array_equal, assert_warns, IS_PYPY)


            

Reported by Pylint.

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

from numpy.testing import (
    assert_array_equal, assert_warns, IS_PYPY)



            

Reported by Pylint.

                      def __len__(self):
            raise TypeError

        def __getitem__(self):
            raise TypeError

    # Array-interface
    class ArrayDunder(_SequenceLike):
        def __init__(self, a):

            

Reported by Pylint.

                              obj[0][0] = 2  # replace with a different list.
                raise ValueError("not actually a sequence!")

            def __getitem__(self):
                pass

        # Runs into a corner case in the new code, the `array(2)` is cached
        # so replacing it invalidates the cache.
        obj.append([np.array(2), baditem()])

            

Reported by Pylint.

                          def __getattr__(self, attr):
                if attr == attribute:
                    raise error
                super().__getattr__(attr)

        with pytest.raises(error):
            np.array(BadInterface())

    @pytest.mark.parametrize("error", [RecursionError, MemoryError])

            

Reported by Pylint.

                      class BadSequence:
            def __len__(self):
                raise error
            def __getitem__(self):
                # must have getitem to be a Sequence
                return 1

        with pytest.raises(error):
            np.array(BadSequence())

            

Reported by Pylint.

                      def __init__(self, a):
            self.a = a

        def __array__(self, dtype=None):
            return self.a

    yield param(ArrayDunder, id="__array__")

    # memory-view

            

Reported by Pylint.

                      # Check that the character special case errors correctly if the
        # array is too deep:
        nested = ["string"]  # 2 dimensions (due to string being sequence)
        for i in range(np.MAXDIMS - 2):
            nested = [nested]

        arr = np.array(nested, dtype='c')
        assert arr.shape == (1,) * (np.MAXDIMS - 1) + (6,)
        with pytest.raises(ValueError):

            

Reported by Pylint.

              import os
import pytest
from tempfile import mkdtemp, mkstemp, NamedTemporaryFile
from shutil import rmtree

import numpy.lib._datasource as datasource
from numpy.testing import assert_, assert_equal, assert_raises

import urllib.request as urllib_request

            

Reported by Pylint.

              from urllib.error import URLError


def urlopen_stub(url, data=None):
    '''Stub to replace urlopen for testing.'''
    if url == valid_httpurl():
        tmpfile = NamedTemporaryFile(prefix='urltmp_')
        return tmpfile
    else:

            

Reported by Pylint.

              

def setup_module():
    global old_urlopen

    old_urlopen = urllib_request.urlopen
    urllib_request.urlopen = urlopen_stub



            

Reported by Pylint.

              
class TestDataSourceOpen:
    def setup(self):
        self.tmpdir = mkdtemp()
        self.ds = datasource.DataSource(self.tmpdir)

    def teardown(self):
        rmtree(self.tmpdir)
        del self.ds

            

Reported by Pylint.

              class TestDataSourceOpen:
    def setup(self):
        self.tmpdir = mkdtemp()
        self.ds = datasource.DataSource(self.tmpdir)

    def teardown(self):
        rmtree(self.tmpdir)
        del self.ds


            

Reported by Pylint.

              
    def test_ValidHTTP(self):
        fh = self.ds.open(valid_httpurl())
        assert_(fh)
        fh.close()

    def test_InvalidHTTP(self):
        url = invalid_httpurl()
        assert_raises(IOError, self.ds.open, url)

            

Reported by Pylint.

                          self.ds.open(url)
        except IOError as e:
            # Regression test for bug fixed in r4342.
            assert_(e.errno is None)

    def test_InvalidHTTPCacheURLError(self):
        assert_raises(URLError, self.ds._cache, invalid_httpurl())

    def test_ValidFile(self):

            

Reported by Pylint.

                          assert_(e.errno is None)

    def test_InvalidHTTPCacheURLError(self):
        assert_raises(URLError, self.ds._cache, invalid_httpurl())

    def test_ValidFile(self):
        local_file = valid_textfile(self.tmpdir)
        fh = self.ds.open(local_file)
        assert_(fh)

            

Reported by Pylint.

                  def test_ValidFile(self):
        local_file = valid_textfile(self.tmpdir)
        fh = self.ds.open(local_file)
        assert_(fh)
        fh.close()

    def test_InvalidFile(self):
        invalid_file = invalid_textfile(self.tmpdir)
        assert_raises(IOError, self.ds.open, invalid_file)

            

Reported by Pylint.

              
class TestDataSourceExists:
    def setup(self):
        self.tmpdir = mkdtemp()
        self.ds = datasource.DataSource(self.tmpdir)

    def teardown(self):
        rmtree(self.tmpdir)
        del self.ds

            

Reported by Pylint.

                  c3d = np.einsum('i,j,k->ijk', c1d, c1d, c1d)

    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1
    y = polyval(x, [1., 2., 3.])

    def test_hermval(self):
        #check empty input
        assert_equal(herm.hermval([], [1]).size, 0)

            

Reported by Pylint.

              
    def test_hermint_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([herm.hermint(c) for c in c2d.T]).T
        res = herm.hermint(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
    def test_hermder_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([herm.hermder(c) for c in c2d.T]).T
        res = herm.hermder(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
class TestVander:
    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1

    def test_hermvander(self):
        # check for 1d x
        x = np.arange(3)
        v = herm.hermvander(x, 3)

            

Reported by Pylint.

                  def test_hermvander2d(self):
        # also tests hermval2d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3))
        van = herm.hermvander2d(x1, x2, [1, 2])
        tgt = herm.hermval2d(x1, x2, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                  def test_hermvander3d(self):
        # also tests hermval3d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3, 4))
        van = herm.hermvander3d(x1, x2, x3, [1, 2, 3])
        tgt = herm.hermval3d(x1, x2, x3, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                              val2 = herm.hermval(self.x, pol2)
                pol3 = herm.hermmul(pol1, pol2)
                val3 = herm.hermval(self.x, pol3)
                assert_(len(pol3) == i + j + 1, msg)
                assert_almost_equal(val3, val1*val2, err_msg=msg)

    def test_hermdiv(self):
        for i in range(5):
            for j in range(5):

            

Reported by Pylint.

                          assert_equal(herm.hermval(x, [1, 0, 0]).shape, dims)

    def test_hermval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, herm.hermval2d, x1, x2[:2], self.c2d)


            

Reported by Pylint.

              
    def test_hermval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, herm.hermval2d, x1, x2[:2], self.c2d)

        #test values

            

Reported by Pylint.

                      #test shape
        z = np.ones((2, 3))
        res = herm.hermval2d(z, z, self.c2d)
        assert_(res.shape == (2, 3))

    def test_hermval3d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y


            

Reported by Pylint.

                  c3d = np.einsum('i,j,k->ijk', c1d, c1d, c1d)

    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1
    y = polyval(x, [1., 2., 3.])

    def test_hermeval(self):
        #check empty input
        assert_equal(herme.hermeval([], [1]).size, 0)

            

Reported by Pylint.

              
    def test_hermeint_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([herme.hermeint(c) for c in c2d.T]).T
        res = herme.hermeint(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
    def test_hermeder_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([herme.hermeder(c) for c in c2d.T]).T
        res = herme.hermeder(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
class TestVander:
    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1

    def test_hermevander(self):
        # check for 1d x
        x = np.arange(3)
        v = herme.hermevander(x, 3)

            

Reported by Pylint.

                  def test_hermevander2d(self):
        # also tests hermeval2d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3))
        van = herme.hermevander2d(x1, x2, [1, 2])
        tgt = herme.hermeval2d(x1, x2, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                  def test_hermevander3d(self):
        # also tests hermeval3d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3, 4))
        van = herme.hermevander3d(x1, x2, x3, [1, 2, 3])
        tgt = herme.hermeval3d(x1, x2, x3, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                              val2 = herme.hermeval(self.x, pol2)
                pol3 = herme.hermemul(pol1, pol2)
                val3 = herme.hermeval(self.x, pol3)
                assert_(len(pol3) == i + j + 1, msg)
                assert_almost_equal(val3, val1*val2, err_msg=msg)

    def test_hermediv(self):
        for i in range(5):
            for j in range(5):

            

Reported by Pylint.

                          assert_equal(herme.hermeval(x, [1, 0, 0]).shape, dims)

    def test_hermeval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, herme.hermeval2d, x1, x2[:2], self.c2d)


            

Reported by Pylint.

              
    def test_hermeval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, herme.hermeval2d, x1, x2[:2], self.c2d)

        #test values

            

Reported by Pylint.

                      #test shape
        z = np.ones((2, 3))
        res = herme.hermeval2d(z, z, self.c2d)
        assert_(res.shape == (2, 3))

    def test_hermeval3d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y


            

Reported by Pylint.

                      assert_array_almost_equal(H, answer, 3)

    def test_all_outliers(self):
        r = np.random.rand(100) + 1. + 1e6  # histogramdd rounds by decimal=6
        H, xed, yed = histogram2d(r, r, (4, 5), range=([0, 1], [0, 1]))
        assert_array_equal(H, 0)

    def test_empty(self):
        a, edge1, edge2 = histogram2d([], [], bins=([0, 1], [0, 1]))

            

Reported by Pylint.

                  def test_density(self):
        x = array([1, 2, 3, 1, 2, 3, 1, 2, 3])
        y = array([1, 1, 1, 2, 2, 2, 3, 3, 3])
        H, xed, yed = histogram2d(
            x, y, [[1, 2, 3, 5], [1, 2, 3, 5]], density=True)
        answer = array([[1, 1, .5],
                        [1, 1, .5],
                        [.5, .5, .25]])/9.
        assert_array_almost_equal(H, answer, 3)

            

Reported by Pylint.

                  def test_density(self):
        x = array([1, 2, 3, 1, 2, 3, 1, 2, 3])
        y = array([1, 1, 1, 2, 2, 2, 3, 3, 3])
        H, xed, yed = histogram2d(
            x, y, [[1, 2, 3, 5], [1, 2, 3, 5]], density=True)
        answer = array([[1, 1, .5],
                        [1, 1, .5],
                        [.5, .5, .25]])/9.
        assert_array_almost_equal(H, answer, 3)

            

Reported by Pylint.

              
    def test_all_outliers(self):
        r = np.random.rand(100) + 1. + 1e6  # histogramdd rounds by decimal=6
        H, xed, yed = histogram2d(r, r, (4, 5), range=([0, 1], [0, 1]))
        assert_array_equal(H, 0)

    def test_empty(self):
        a, edge1, edge2 = histogram2d([], [], bins=([0, 1], [0, 1]))
        assert_array_max_ulp(a, array([[0.]]))

            

Reported by Pylint.

              
    def test_all_outliers(self):
        r = np.random.rand(100) + 1. + 1e6  # histogramdd rounds by decimal=6
        H, xed, yed = histogram2d(r, r, (4, 5), range=([0, 1], [0, 1]))
        assert_array_equal(H, 0)

    def test_empty(self):
        a, edge1, edge2 = histogram2d([], [], bins=([0, 1], [0, 1]))
        assert_array_max_ulp(a, array([[0.]]))

            

Reported by Pylint.

                      assert_array_equal(H, 0)

    def test_empty(self):
        a, edge1, edge2 = histogram2d([], [], bins=([0, 1], [0, 1]))
        assert_array_max_ulp(a, array([[0.]]))

        a, edge1, edge2 = histogram2d([], [], bins=4)
        assert_array_max_ulp(a, np.zeros((4, 4)))


            

Reported by Pylint.

                      assert_array_equal(H, 0)

    def test_empty(self):
        a, edge1, edge2 = histogram2d([], [], bins=([0, 1], [0, 1]))
        assert_array_max_ulp(a, array([[0.]]))

        a, edge1, edge2 = histogram2d([], [], bins=4)
        assert_array_max_ulp(a, np.zeros((4, 4)))


            

Reported by Pylint.

                  @requires_array_function
    def test_dispatch(self):
        class ShouldDispatch:
            def __array_function__(self, function, types, args, kwargs):
                return types, args, kwargs

        xy = [1, 2]
        s_d = ShouldDispatch()
        r = histogram2d(s_d, xy)

            

Reported by Pylint.

                      s_d = ShouldDispatch()
        r = histogram2d(s_d, xy)
        # Cannot use assert_equal since that dispatches...
        assert_(r == ((ShouldDispatch,), (s_d, xy), {}))
        r = histogram2d(xy, s_d)
        assert_(r == ((ShouldDispatch,), (xy, s_d), {}))
        r = histogram2d(xy, xy, bins=s_d)
        assert_(r, ((ShouldDispatch,), (xy, xy), dict(bins=s_d)))
        r = histogram2d(xy, xy, bins=[s_d, 5])

            

Reported by Pylint.

                      # Cannot use assert_equal since that dispatches...
        assert_(r == ((ShouldDispatch,), (s_d, xy), {}))
        r = histogram2d(xy, s_d)
        assert_(r == ((ShouldDispatch,), (xy, s_d), {}))
        r = histogram2d(xy, xy, bins=s_d)
        assert_(r, ((ShouldDispatch,), (xy, xy), dict(bins=s_d)))
        r = histogram2d(xy, xy, bins=[s_d, 5])
        assert_(r, ((ShouldDispatch,), (xy, xy), dict(bins=[s_d, 5])))
        assert_raises(Exception, histogram2d, xy, xy, bins=[s_d])

            

Reported by Pylint.

              from collections.abc import Mapping

import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core import overrides
from numpy.core.multiarray import packbits, unpackbits
from numpy.core.overrides import set_array_function_like_doc, set_module
from ._iotools import (

            

Reported by Pylint.

              
import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core import overrides
from numpy.core.multiarray import packbits, unpackbits
from numpy.core.overrides import set_array_function_like_doc, set_module
from ._iotools import (
    LineSplitter, NameValidator, StringConverter, ConverterError,

            

Reported by Pylint.

              from numpy.core import overrides
from numpy.core.multiarray import packbits, unpackbits
from numpy.core.overrides import set_array_function_like_doc, set_module
from ._iotools import (
    LineSplitter, NameValidator, StringConverter, ConverterError,
    ConverterLockError, ConversionWarning, _is_string_like,
    has_nested_fields, flatten_dtype, easy_dtype, _decode_line
    )


            

Reported by Pylint.

                          tp, bytes = dt.fields[field]
            flat_dt, flat_packer = _loadtxt_flatten_dtype_internal(tp)
            types.extend(flat_dt)
            flat_packing = flat_packer.args[0] if flat_packer else None
            # Avoid extra nesting for subarrays
            if tp.ndim > 0:
                packing.extend(flat_packing)
            else:
                packing.append((len(flat_dt), flat_packing))

            

Reported by Pylint.

                          tp, bytes = dt.fields[field]
            flat_dt, flat_packer = _loadtxt_flatten_dtype_internal(tp)
            types.extend(flat_dt)
            flat_packing = flat_packer.args[0] if flat_packer else None
            # Avoid extra nesting for subarrays
            if tp.ndim > 0:
                packing.extend(flat_packing)
            else:
                packing.append((len(flat_dt), flat_packing))

            

Reported by Pylint.

                          if ncols == 1:
                packer = itemgetter(0)
            else:
                def packer(row): return row

        # By preference, use the converters specified by the user
        for i, conv in (user_converters or {}).items():
            if usecols:
                try:

            

Reported by Pylint.

                      def close(self):
            self.fh.close()

        def write(self, v):
            self.do_write(v)

        def write_bytes(self, v):
            if isinstance(v, bytes):
                self.fh.write(v)

            

Reported by Pylint.

              from collections.abc import Mapping

import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core import overrides
from numpy.core.multiarray import packbits, unpackbits
from numpy.core.overrides import set_array_function_like_doc, set_module
from ._iotools import (

            

Reported by Pylint.

                      return len(self.files)

    def __getitem__(self, key):
        # FIXME: This seems like it will copy strings around
        #   more than is strictly necessary.  The zipfile
        #   will read the string and then
        #   the format.read_array will copy the string
        #   to another place in memory.
        #   It would be better if the zipfile could read

            

Reported by Pylint.

                          member = True
            key += '.npy'
        if member:
            bytes = self.zip.open(key)
            magic = bytes.read(len(format.MAGIC_PREFIX))
            bytes.close()
            if magic == format.MAGIC_PREFIX:
                bytes = self.zip.open(key)
                return format.read_array(bytes,

            

Reported by Pylint.

                  c3d = np.einsum('i,j,k->ijk', c1d, c1d, c1d)

    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1
    y = polyval(x, [1., 2., 3.])

    def test_lagval(self):
        #check empty input
        assert_equal(lag.lagval([], [1]).size, 0)

            

Reported by Pylint.

              
    def test_lagint_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([lag.lagint(c) for c in c2d.T]).T
        res = lag.lagint(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
    def test_lagder_axis(self):
        # check that axis keyword works
        c2d = np.random.random((3, 4))

        tgt = np.vstack([lag.lagder(c) for c in c2d.T]).T
        res = lag.lagder(c2d, axis=0)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

              
class TestVander:
    # some random values in [-1, 1)
    x = np.random.random((3, 5))*2 - 1

    def test_lagvander(self):
        # check for 1d x
        x = np.arange(3)
        v = lag.lagvander(x, 3)

            

Reported by Pylint.

                  def test_lagvander2d(self):
        # also tests lagval2d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3))
        van = lag.lagvander2d(x1, x2, [1, 2])
        tgt = lag.lagval2d(x1, x2, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                  def test_lagvander3d(self):
        # also tests lagval3d for non-square coefficient array
        x1, x2, x3 = self.x
        c = np.random.random((2, 3, 4))
        van = lag.lagvander3d(x1, x2, x3, [1, 2, 3])
        tgt = lag.lagval3d(x1, x2, x3, c)
        res = np.dot(van, c.flat)
        assert_almost_equal(res, tgt)


            

Reported by Pylint.

                              val2 = lag.lagval(self.x, pol2)
                pol3 = lag.lagmul(pol1, pol2)
                val3 = lag.lagval(self.x, pol3)
                assert_(len(pol3) == i + j + 1, msg)
                assert_almost_equal(val3, val1*val2, err_msg=msg)

    def test_lagdiv(self):
        for i in range(5):
            for j in range(5):

            

Reported by Pylint.

                          assert_equal(lag.lagval(x, [1, 0, 0]).shape, dims)

    def test_lagval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, lag.lagval2d, x1, x2[:2], self.c2d)


            

Reported by Pylint.

              
    def test_lagval2d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y

        #test exceptions
        assert_raises(ValueError, lag.lagval2d, x1, x2[:2], self.c2d)

        #test values

            

Reported by Pylint.

                      #test shape
        z = np.ones((2, 3))
        res = lag.lagval2d(z, z, self.c2d)
        assert_(res.shape == (2, 3))

    def test_lagval3d(self):
        x1, x2, x3 = self.x
        y1, y2, y3 = self.y


            

Reported by Pylint.

                      assert_equal(mbase.a, [1, 2, 3, 4, 5])
        assert_equal(mbase.a._mask, [0, 1, 0, 1, 1])
        # This one has not yet
        mbase = fromarrays([np.arange(5), np.random.rand(5)],
                           dtype=[('a', int), ('b', float)])
        mbase['a'][-2] = masked
        assert_equal(mbase.a, [0, 1, 2, 3, 4])
        assert_equal(mbase.a._mask, [0, 0, 0, 1, 0])


            

Reported by Pylint.

              class TestView:

    def setup(self):
        (a, b) = (np.arange(10), np.random.rand(10))
        ndtype = [('a', float), ('b', float)]
        arr = np.array(list(zip(a, b)), dtype=ndtype)

        mrec = fromarrays([a, b], dtype=ndtype, fill_value=(-9., -99.))
        mrec.mask[3] = (False, True)

            

Reported by Pylint.

                      base = self.base
        mbase = base.view(mrecarray)
        assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)

            

Reported by Pylint.

                      base = self.base
        mbase = base.view(mrecarray)
        assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)

            

Reported by Pylint.

                      mbase = base.view(mrecarray)
        assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)


            

Reported by Pylint.

                      mbase = base.view(mrecarray)
        assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)


            

Reported by Pylint.

                      assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)

    def test_get(self):

            

Reported by Pylint.

                      assert_equal(mbase.recordmask, base.recordmask)
        assert_equal_records(mbase._mask, base._mask)
        assert_(isinstance(mbase._data, recarray))
        assert_equal_records(mbase._data, base._data.view(recarray))
        for field in ('a', 'b', 'c'):
            assert_equal(base[field], mbase[field])
        assert_equal_records(mbase.view(mrecarray), mbase)

    def test_get(self):

            

Reported by Pylint.

                          assert_equal(base[field], mbase[field])
        # as elements .......
        mbase_first = mbase[0]
        assert_(isinstance(mbase_first, mrecarray))
        assert_equal(mbase_first.dtype, mbase.dtype)
        assert_equal(mbase_first.tolist(), (1, 1.1, b'one'))
        # Used to be mask, now it's recordmask
        assert_equal(mbase_first.recordmask, nomask)
        assert_equal(mbase_first._mask.item(), (False, False, False))

            

Reported by Pylint.

                      assert_equal(mbase_first.tolist(), (1, 1.1, b'one'))
        # Used to be mask, now it's recordmask
        assert_equal(mbase_first.recordmask, nomask)
        assert_equal(mbase_first._mask.item(), (False, False, False))
        assert_equal(mbase_first['a'], mbase['a'][0])
        mbase_last = mbase[-1]
        assert_(isinstance(mbase_last, mrecarray))
        assert_equal(mbase_last.dtype, mbase.dtype)
        assert_equal(mbase_last.tolist(), (None, None, None))

            

Reported by Pylint.

              import sys

import numpy as np
from numpy.core._rational_tests import rational
import pytest
from numpy.testing import (
     assert_, assert_equal, assert_array_equal, assert_raises, assert_warns,
     HAS_REFCOUNT
    )

            

Reported by Pylint.

              
import numpy as np
from numpy.core._rational_tests import rational
import pytest
from numpy.testing import (
     assert_, assert_equal, assert_array_equal, assert_raises, assert_warns,
     HAS_REFCOUNT
    )


            

Reported by Pylint.

                  # test array interface
    a = np.array(100.0, dtype=np.float64)
    o = type("o", (object,),
             dict(__array_interface__=a.__array_interface__))
    assert_equal(np.array(o, dtype=np.float64), a)

    # test array_struct interface
    a = np.array([(1, 4.0, 'Hello'), (2, 6.0, 'World')],
                 dtype=[('f0', int), ('f1', float), ('f2', str)])

            

Reported by Pylint.

                  a = np.array([(1, 4.0, 'Hello'), (2, 6.0, 'World')],
                 dtype=[('f0', int), ('f1', float), ('f2', str)])
    o = type("o", (object,),
             dict(__array_struct__=a.__array_struct__))
    ## wasn't what I expected... is np.array(o) supposed to equal a ?
    ## instead we get a array([...], dtype=">V18")
    assert_equal(bytes(np.array(o).data), bytes(a.data))

    # test array

            

Reported by Pylint.

                  assert_equal(np.array("1", dtype=U5), np.ones((), dtype=U5))

    builtins = getattr(__builtins__, '__dict__', __builtins__)
    assert_(hasattr(builtins, 'get'))

    # test memoryview
    dat = np.array(memoryview(b'1.0'), dtype=np.float64)
    assert_equal(dat, [49.0, 46.0, 48.0])
    assert_(dat.dtype.type is np.float64)

            

Reported by Pylint.

                  # test memoryview
    dat = np.array(memoryview(b'1.0'), dtype=np.float64)
    assert_equal(dat, [49.0, 46.0, 48.0])
    assert_(dat.dtype.type is np.float64)

    dat = np.array(memoryview(b'1.0'))
    assert_equal(dat, [49, 46, 48])
    assert_(dat.dtype.type is np.uint8)


            

Reported by Pylint.

              
    dat = np.array(memoryview(b'1.0'))
    assert_equal(dat, [49, 46, 48])
    assert_(dat.dtype.type is np.uint8)

    # test array interface
    a = np.array(100.0, dtype=np.float64)
    o = type("o", (object,),
             dict(__array_interface__=a.__array_interface__))

            

Reported by Pylint.

              
    # test recursion
    nested = 1.5
    for i in range(np.MAXDIMS):
        nested = [nested]

    # no error
    np.array(nested)


            

Reported by Pylint.

                  a = np.array(2)
    b = np.fastCopyAndTranspose(a)
    assert_equal(b, a.T)
    assert_(b.flags.owndata)

    # 1D array
    a = np.array([3, 2, 7, 0])
    b = np.fastCopyAndTranspose(a)
    assert_equal(b, a.T)

            

Reported by Pylint.

                  a = np.array([3, 2, 7, 0])
    b = np.fastCopyAndTranspose(a)
    assert_equal(b, a.T)
    assert_(b.flags.owndata)

    # 2D array
    a = np.arange(6).reshape(2, 3)
    b = np.fastCopyAndTranspose(a)
    assert_equal(b, a.T)

            

Reported by Pylint.

                  from _dummy_thread import get_ident

import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)

            

Reported by Pylint.

              
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any

            

Reported by Pylint.

              import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate

            

Reported by Pylint.

              from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,

            

Reported by Pylint.

              from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
from .overrides import array_function_dispatch, set_module
import operator

            

Reported by Pylint.

                                       datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
from .overrides import array_function_dispatch, set_module
import operator
import warnings

            

Reported by Pylint.

                                       set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
from .overrides import array_function_dispatch, set_module
import operator
import warnings
import contextlib

            

Reported by Pylint.

              from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
from .overrides import array_function_dispatch, set_module
import operator
import warnings
import contextlib

_format_options = {

            

Reported by Pylint.

              from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
from .overrides import array_function_dispatch, set_module
import operator

            

Reported by Pylint.

                  'formatter': None,
    'legacy': False}

def _make_options_dict(precision=None, threshold=None, edgeitems=None,
                       linewidth=None, suppress=None, nanstr=None, infstr=None,
                       sign=None, formatter=None, floatmode=None, legacy=None):
    """ make a dictionary out of the non-None arguments, plus sanity checks """

    options = {k: v for k, v in locals().items() if v is not None}

            

Reported by Pylint.