from numpy.distutils.exec_command import find_executable
from numpy.distutils import _shell_utils

from .environment import EnvironmentConfig

__metaclass__ = type

class CompilerNotFound(Exception):
    pass

            

Reported by Pylint.

                  # Use properties for the attributes used by CCompiler. Setting them
    # as attributes from the self.executables dictionary is error-prone,
    # so we get them from there each time.
    def _command_property(key):
        def fget(self):
            assert self._is_customised
            return self.executables[key]
        return property(fget=fget)
    version_cmd = _command_property('version_cmd')

            

Reported by Pylint.

              
    def get_version(self, force=False, ok_status=[0]):
        assert self._is_customised
        version = CCompiler.get_version(self, force=force, ok_status=ok_status)
        if version is None:
            raise CompilerNotFound()
        return version



            

Reported by Pylint.

                      display = '%s: %s' % (os.path.basename(compiler[0]) + flavor,
                              src)
        try:
            self.spawn(command, display=display)
        except DistutilsExecError as e:
            msg = str(e)
            raise CompileError(msg) from None

    def module_options(self, module_dirs, module_build_dir):

            

Reported by Pylint.

              
    language_map = {'.f': 'f77',
                    '.for': 'f77',
                    '.F': 'f77',    # XXX: needs preprocessor
                    '.ftn': 'f77',
                    '.f77': 'f77',
                    '.f90': 'f90',
                    '.F90': 'f90',  # XXX: needs preprocessor
                    '.f95': 'f90',

            

Reported by Pylint.

                                  '.ftn': 'f77',
                    '.f77': 'f77',
                    '.f90': 'f90',
                    '.F90': 'f90',  # XXX: needs preprocessor
                    '.f95': 'f90',
                    }
    language_order = ['f90', 'f77']



            

Reported by Pylint.

                  # so we get them from there each time.
    def _command_property(key):
        def fget(self):
            assert self._is_customised
            return self.executables[key]
        return property(fget=fget)
    version_cmd = _command_property('version_cmd')
    compiler_f77 = _command_property('compiler_f77')
    compiler_f90 = _command_property('compiler_f90')

            

Reported by Pylint.

                          fc_exe = find_executable(exe)
            exe_cache[exe] = exe_cache[fc_exe] = fc_exe
            return fc_exe
        def verify_command_form(name, value):
            if value is not None and not is_sequence_of_strings(value):
                raise ValueError(
                    "%s value %r is invalid in class %s" %
                    (name, value, self.__class__.__name__))
        def set_exe(exe_key, f77=None, f90=None):

            

Reported by Pylint.

                      the command, which will be replaced by the found F77 or F90
        compiler.
        """
        pass

    def get_flags(self):
        """List of flags common to all compiler types."""
        return [] + self.pic_flags


            

Reported by Pylint.

                      """List of compiler library directories."""
        return self.library_dirs[:]

    def get_version(self, force=False, ok_status=[0]):
        assert self._is_customised
        version = CCompiler.get_version(self, force=force, ok_status=ok_status)
        if version is None:
            raise CompilerNotFound()
        return version

            

Reported by Pylint.

              from .common import Benchmark, get_squares_, get_indexes_rand, TYPES1

import numpy as np


class Eindot(Benchmark):
    def setup(self):
        self.a = np.arange(60000.0).reshape(150, 400)
        self.ac = self.a.copy()

            

Reported by Pylint.

              
class Eindot(Benchmark):
    def setup(self):
        self.a = np.arange(60000.0).reshape(150, 400)
        self.ac = self.a.copy()
        self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)

            

Reported by Pylint.

              class Eindot(Benchmark):
    def setup(self):
        self.a = np.arange(60000.0).reshape(150, 400)
        self.ac = self.a.copy()
        self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)

            

Reported by Pylint.

                  def setup(self):
        self.a = np.arange(60000.0).reshape(150, 400)
        self.ac = self.a.copy()
        self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)


            

Reported by Pylint.

                      self.a = np.arange(60000.0).reshape(150, 400)
        self.ac = self.a.copy()
        self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)

            

Reported by Pylint.

                      self.ac = self.a.copy()
        self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)
        self.b3 = np.arange(192000.).reshape(80, 60, 40)

            

Reported by Pylint.

                      self.at = self.a.T
        self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)
        self.b3 = np.arange(192000.).reshape(80, 60, 40)


            

Reported by Pylint.

                      self.atc = self.a.T.copy()
        self.b = np.arange(240000.0).reshape(400, 600)
        self.c = np.arange(600)
        self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)
        self.b3 = np.arange(192000.).reshape(80, 60, 40)

    def time_dot_a_b(self):

            

Reported by Pylint.

                      self.c = np.arange(600)
        self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)
        self.b3 = np.arange(192000.).reshape(80, 60, 40)

    def time_dot_a_b(self):
        np.dot(self.a, self.b)


            

Reported by Pylint.

                      self.d = np.arange(400)

        self.a3 = np.arange(480000.).reshape(60, 80, 100)
        self.b3 = np.arange(192000.).reshape(80, 60, 40)

    def time_dot_a_b(self):
        np.dot(self.a, self.b)

    def time_dot_d_dot_b_c(self):

            

Reported by Pylint.

              else:
    BadListError = ValueError

import Array

######################################################################

class Array1TestCase(unittest.TestCase):


            

Reported by Pylint.

              
    def testAsString(self):
        "Test Array2 asString method"
        result = """\
[ [ 0, 1, 2, 3 ],
  [ 1, 2, 3, 4 ],
  [ 2, 3, 4, 5 ],
  [ 3, 4, 5, 6 ],
  [ 4, 5, 6, 7 ] ]

            

Reported by Pylint.

              
    def testStr(self):
        "Test Array2 __str__ method"
        result = """\
[ [ 0, -1, -2, -3 ],
  [ 1, 0, -1, -2 ],
  [ 2, 1, 0, -1 ],
  [ 3, 2, 1, 0 ],
  [ 4, 3, 2, 1 ] ]

            

Reported by Pylint.

              #!/usr/bin/env python3
# System imports
import sys
import unittest

# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0:

            

Reported by Pylint.

              #!/usr/bin/env python3
# System imports
import sys
import unittest

# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0:

            

Reported by Pylint.

              else:
    BadListError = ValueError

import Array

######################################################################

class Array1TestCase(unittest.TestCase):


            

Reported by Pylint.

              
######################################################################

class Array1TestCase(unittest.TestCase):

    def setUp(self):
        self.length = 5
        self.array1 = Array.Array1(self.length)


            

Reported by Pylint.

                      self.length = 5
        self.array1 = Array.Array1(self.length)

    def testConstructor0(self):
        "Test Array1 default constructor"
        a = Array.Array1()
        self.assertTrue(isinstance(a, Array.Array1))
        self.assertTrue(len(a) == 0)


            

Reported by Pylint.

              
    def testConstructor0(self):
        "Test Array1 default constructor"
        a = Array.Array1()
        self.assertTrue(isinstance(a, Array.Array1))
        self.assertTrue(len(a) == 0)

    def testConstructor1(self):
        "Test Array1 length constructor"

            

Reported by Pylint.

                      self.assertTrue(isinstance(a, Array.Array1))
        self.assertTrue(len(a) == 0)

    def testConstructor1(self):
        "Test Array1 length constructor"
        self.assertTrue(isinstance(self.array1, Array.Array1))

    def testConstructor2(self):
        "Test Array1 array constructor"

            

Reported by Pylint.

                  cmds["build_ext"] = cmd_build_ext

    if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
        from cx_Freeze.dist import build_exe as _build_exe
        # nczeczulin reports that py2exe won't like the pep440-style string
        # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
        # setup(console=[{
        #   "version": versioneer.get_version().split("+", 1)[0], # FILEVERSION
        #   "product_version": versioneer.get_version(),

            

Reported by Pylint.

                      del cmds["build_py"]

    if 'py2exe' in sys.modules:  # py2exe enabled?
        from py2exe.distutils_buildexe import py2exe as _py2exe

        class cmd_py2exe(_py2exe):
            def run(self):
                root = get_root()
                cfg = get_config_from_root(root)

            

Reported by Pylint.

                          return parser.get("versioneer", name)
        return None
    cfg = VersioneerConfig()
    cfg.VCS = VCS
    cfg.style = get(parser, "style") or ""
    cfg.versionfile_source = get(parser, "versionfile_source")
    cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):

            

Reported by Pylint.

                      return None
    cfg = VersioneerConfig()
    cfg.VCS = VCS
    cfg.style = get(parser, "style") or ""
    cfg.versionfile_source = get(parser, "versionfile_source")
    cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""

            

Reported by Pylint.

                  cfg = VersioneerConfig()
    cfg.VCS = VCS
    cfg.style = get(parser, "style") or ""
    cfg.versionfile_source = get(parser, "versionfile_source")
    cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")

            

Reported by Pylint.

                  cfg.VCS = VCS
    cfg.style = get(parser, "style") or ""
    cfg.versionfile_source = get(parser, "versionfile_source")
    cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
    cfg.verbose = get(parser, "verbose")

            

Reported by Pylint.

                  cfg.style = get(parser, "style") or ""
    cfg.versionfile_source = get(parser, "versionfile_source")
    cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
    cfg.verbose = get(parser, "verbose")
    return cfg

            

Reported by Pylint.

                  cfg.versionfile_build = get(parser, "versionfile_build")
    cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
    cfg.verbose = get(parser, "verbose")
    return cfg



            

Reported by Pylint.

                  cfg.tag_prefix = get(parser, "tag_prefix")
    if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
    cfg.verbose = get(parser, "verbose")
    return cfg


class NotThisMethod(Exception):

            

Reported by Pylint.

                  if cfg.tag_prefix in ("''", '""'):
        cfg.tag_prefix = ""
    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
    cfg.verbose = get(parser, "verbose")
    return cfg


class NotThisMethod(Exception):
    """Exception raised if a method is not valid for the current scenario."""

            

Reported by Pylint.

              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


            

Reported by Pylint.

                      with printoptions(linewidth=lw):
            assert_equal(str(p), tgt)
            for line in str(p).split('\n'):
                assert_(len(line) < lw)


def test_set_default_printoptions():
    p = poly.Polynomial([1, 2, 3])
    c = poly.Chebyshev([1, 2, 3])

            

Reported by Pylint.

                      # right now we ignore the formatting of scalars in our tests, since
        # it makes them too verbose. Ideally, the formatting of scalars will
        # be fixed such that tests below continue to pass
        obj._repr_latex_scalar = lambda x: str(x)
        try:
            return obj._repr_latex_()
        finally:
            del obj._repr_latex_scalar


            

Reported by Pylint.

                      # right now we ignore the formatting of scalars in our tests, since
        # it makes them too verbose. Ideally, the formatting of scalars will
        # be fixed such that tests below continue to pass
        obj._repr_latex_scalar = lambda x: str(x)
        try:
            return obj._repr_latex_()
        finally:
            del obj._repr_latex_scalar


            

Reported by Pylint.

                      # be fixed such that tests below continue to pass
        obj._repr_latex_scalar = lambda x: str(x)
        try:
            return obj._repr_latex_()
        finally:
            del obj._repr_latex_scalar

    def test_simple_polynomial(self):
        # default input

            

Reported by Pylint.

              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


            

Reported by Pylint.

              from numpy.testing import assert_equal, assert_

# For testing polynomial printing with object arrays
from fractions import Fraction
from decimal import Decimal


class TestStrUnicodeSuperSubscripts:


            

Reported by Pylint.

              
# For testing polynomial printing with object arrays
from fractions import Fraction
from decimal import Decimal


class TestStrUnicodeSuperSubscripts:

    @pytest.fixture(scope='class', autouse=True)

            

Reported by Pylint.

              from decimal import Decimal


class TestStrUnicodeSuperSubscripts:

    @pytest.fixture(scope='class', autouse=True)
    def use_unicode(self):
        poly.set_default_printstyle('unicode')


            

Reported by Pylint.

              class TestStrUnicodeSuperSubscripts:

    @pytest.fixture(scope='class', autouse=True)
    def use_unicode(self):
        poly.set_default_printstyle('unicode')

    @pytest.mark.parametrize(('inp', 'tgt'), (
        ([1, 2, 3], "1.0 + 2.0·x¹ + 3.0·x²"),
        ([-1, 0, 3, -1], "-1.0 + 0.0·x¹ + 3.0·x² - 1.0·x³"),

            

Reported by Pylint.

                          rhs *= w

    # scale lhs to improve condition number and solve
    scale = NX.sqrt((lhs*lhs).sum(axis=0))
    lhs /= scale
    c, resids, rank, s = lstsq(lhs, rhs, rcond)
    c = (c.T/scale).T  # broadcast scale coefficients

    # warn on rank reduction, which indicates an ill conditioned matrix

            

Reported by Pylint.

                      return polyval(self.coeffs, val)

    def __neg__(self):
        return poly1d(-self.coeffs)

    def __pos__(self):
        return self

    def __mul__(self, other):

            

Reported by Pylint.

                      return polyval(self.coeffs, val)

    def __neg__(self):
        return poly1d(-self.coeffs)

    def __pos__(self):
        return self

    def __mul__(self, other):

            

Reported by Pylint.

              import warnings
import numpy.core.numeric as NX

from numpy.core import (isscalar, abs, finfo, atleast_1d, hstack, dot, array,
                        ones)
from numpy.core import overrides
from numpy.core.overrides import set_module
from numpy.lib.twodim_base import diag, vander
from numpy.lib.function_base import trim_zeros

            

Reported by Pylint.

                  `RankWarning` being issued, see `polyfit`.

    """
    pass


def _poly_dispatcher(seq_of_zeros):
    return seq_of_zeros


            

Reported by Pylint.

              
    if issubclass(a.dtype.type, NX.complexfloating):
        # if complex roots are all complex conjugates, the roots are real.
        roots = NX.asarray(seq_of_zeros, complex)
        if NX.all(NX.sort(roots) == NX.sort(roots.conjugate())):
            a = a.real.copy()

    return a


            

Reported by Pylint.

                      # build companion matrix and find its eigenvalues (the roots)
        A = diag(NX.ones((N-2,), p.dtype), -1)
        A[0,:] = -p[1:] / p[0]
        roots = eigvals(A)
    else:
        roots = NX.array([])

    # tack any zeros onto the back of the array
    roots = hstack((roots, NX.zeros(trailing_zeros, roots.dtype)))

            

Reported by Pylint.

                  return roots


def _polyint_dispatcher(p, m=None, k=None):
    return (p,)


@array_function_dispatch(_polyint_dispatcher)
def polyint(p, m=1, k=None):

            

Reported by Pylint.

                  return roots


def _polyint_dispatcher(p, m=None, k=None):
    return (p,)


@array_function_dispatch(_polyint_dispatcher)
def polyint(p, m=1, k=None):

            

Reported by Pylint.

                      return val


def _polyder_dispatcher(p, m=None):
    return (p,)


@array_function_dispatch(_polyder_dispatcher)
def polyder(p, m=1):

            

Reported by Pylint.

              import platform
import pytest

import numpy as np
from numpy import uint16, float16, float32, float64
from numpy.testing import assert_, assert_equal


def assert_raises_fpe(strmatch, callable, *args, **kwargs):

            

Reported by Pylint.

                  @pytest.mark.parametrize("float_t", [np.float32, np.float64])
    def test_half_conversion_rounding(self, float_t, shift, offset):
        # Assumes that round to even is used during casting.
        max_pattern = np.float16(np.finfo(np.float16).max).view(np.uint16)

        # Test all (positive) finite numbers, denormals are most interesting
        # however:
        f16s_patterns = np.arange(0, max_pattern+1, dtype=np.uint16)
        f16s_float = f16s_patterns.view(np.float16).astype(float_t)

            

Reported by Pylint.

                      # whether round to even should occur (i.e. no bits are lost at the
        # end. Compare also gh-12721. The most bits can get lost for the
        # smallest denormal:
        smallest_value = np.uint16(1).view(np.float16).astype(float_t)
        assert smallest_value == 2**-24

        # Will be rounded to zero based on round to even rule:
        rounded_to_zero = smallest_value / float_t(2)
        assert rounded_to_zero.astype(np.float16) == 0

            

Reported by Pylint.

              
        a = np.ones((1,), dtype=float16)
        b = Dummy()
        b.__array_interface__ = a.__array_interface__
        c = np.array(b)
        assert_(c.dtype == float16)
        assert_equal(a, c)

            

Reported by Pylint.

              from numpy.testing import assert_, assert_equal


def assert_raises_fpe(strmatch, callable, *args, **kwargs):
    try:
        callable(*args, **kwargs)
    except FloatingPointError as exc:
        assert_(str(exc).find(strmatch) >= 0,
                "Did not raise floating point %s error" % strmatch)

            

Reported by Pylint.

                  try:
        callable(*args, **kwargs)
    except FloatingPointError as exc:
        assert_(str(exc).find(strmatch) >= 0,
                "Did not raise floating point %s error" % strmatch)
    else:
        assert_(False,
                "Did not raise floating point %s error" % strmatch)


            

Reported by Pylint.

                      assert_(str(exc).find(strmatch) >= 0,
                "Did not raise floating point %s error" % strmatch)
    else:
        assert_(False,
                "Did not raise floating point %s error" % strmatch)

class TestHalf:
    def setup(self):
        # An array of all possible float16 values

            

Reported by Pylint.

              class TestHalf:
    def setup(self):
        # An array of all possible float16 values
        self.all_f16 = np.arange(0x10000, dtype=uint16)
        self.all_f16.dtype = float16
        self.all_f32 = np.array(self.all_f16, dtype=float32)
        self.all_f64 = np.array(self.all_f16, dtype=float64)

        # An array of all non-NaN float16 values, in sorted order

            

Reported by Pylint.

                      # An array of all possible float16 values
        self.all_f16 = np.arange(0x10000, dtype=uint16)
        self.all_f16.dtype = float16
        self.all_f32 = np.array(self.all_f16, dtype=float32)
        self.all_f64 = np.array(self.all_f16, dtype=float64)

        # An array of all non-NaN float16 values, in sorted order
        self.nonan_f16 = np.concatenate(
                                (np.arange(0xfc00, 0x7fff, -1, dtype=uint16),

            

Reported by Pylint.

                      self.all_f16 = np.arange(0x10000, dtype=uint16)
        self.all_f16.dtype = float16
        self.all_f32 = np.array(self.all_f16, dtype=float32)
        self.all_f64 = np.array(self.all_f16, dtype=float64)

        # An array of all non-NaN float16 values, in sorted order
        self.nonan_f16 = np.concatenate(
                                (np.arange(0xfc00, 0x7fff, -1, dtype=uint16),
                                 np.arange(0x0000, 0x7c01, 1, dtype=uint16)))

            

Reported by Pylint.

              b_ ^ i
b_ & i

~i8
~i4
~u8
~u4
~b_
~AR

            

Reported by Pylint.

              b_ & i

~i8
~i4
~u8
~u4
~b_
~AR

            

Reported by Pylint.

              
~i8
~i4
~u8
~u4
~b_
~AR

            

Reported by Pylint.

              ~i8
~i4
~u8
~u4
~b_
~AR

            

Reported by Pylint.

              ~i4
~u8
~u4
~b_
~AR

            

Reported by Pylint.

              AR.setflags(write=False)


i8 << i8
i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8


            

Reported by Pylint.

              

i8 << i8
i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8

i8 << AR

            

Reported by Pylint.

              
i8 << i8
i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8

i8 << AR
i8 >> AR

            

Reported by Pylint.

              i8 << i8
i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8

i8 << AR
i8 >> AR
i8 | AR

            

Reported by Pylint.

              i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8

i8 << AR
i8 >> AR
i8 | AR
i8 ^ AR

            

Reported by Pylint.

              AR.setflags(write=False)


reveal_type(i8 << i8)  # E: {int64}
reveal_type(i8 >> i8)  # E: {int64}
reveal_type(i8 | i8)  # E: {int64}
reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}


            

Reported by Pylint.

              

reveal_type(i8 << i8)  # E: {int64}
reveal_type(i8 >> i8)  # E: {int64}
reveal_type(i8 | i8)  # E: {int64}
reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any

            

Reported by Pylint.

              
reveal_type(i8 << i8)  # E: {int64}
reveal_type(i8 >> i8)  # E: {int64}
reveal_type(i8 | i8)  # E: {int64}
reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any

            

Reported by Pylint.

              reveal_type(i8 << i8)  # E: {int64}
reveal_type(i8 >> i8)  # E: {int64}
reveal_type(i8 | i8)  # E: {int64}
reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any

            

Reported by Pylint.

              reveal_type(i8 >> i8)  # E: {int64}
reveal_type(i8 | i8)  # E: {int64}
reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any

            

Reported by Pylint.

              reveal_type(i8 ^ i8)  # E: {int64}
reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any
reveal_type(i8 & AR)  # E: Any


            

Reported by Pylint.

              reveal_type(i8 & i8)  # E: {int64}

reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any
reveal_type(i8 & AR)  # E: Any

reveal_type(i4 << i4)  # E: {int32}

            

Reported by Pylint.

              
reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any
reveal_type(i8 & AR)  # E: Any

reveal_type(i4 << i4)  # E: {int32}
reveal_type(i4 >> i4)  # E: {int32}

            

Reported by Pylint.

              reveal_type(i8 << AR)  # E: Any
reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any
reveal_type(i8 & AR)  # E: Any

reveal_type(i4 << i4)  # E: {int32}
reveal_type(i4 >> i4)  # E: {int32}
reveal_type(i4 | i4)  # E: {int32}

            

Reported by Pylint.

              reveal_type(i8 >> AR)  # E: Any
reveal_type(i8 | AR)  # E: Any
reveal_type(i8 ^ AR)  # E: Any
reveal_type(i8 & AR)  # E: Any

reveal_type(i4 << i4)  # E: {int32}
reveal_type(i4 >> i4)  # E: {int32}
reveal_type(i4 | i4)  # E: {int32}
reveal_type(i4 ^ i4)  # E: {int32}

            

Reported by Pylint.

              
    def test_view(self):
        # Test view w/ flexible dtype
        iterator = list(zip(np.arange(10), np.random.rand(10)))
        data = np.array(iterator)
        a = masked_array(iterator, dtype=[('a', float), ('b', float)])
        a.mask[0] = (1, 0)
        test = a.view((float, 2), np.matrix)
        assert_equal(test, data)

            

Reported by Pylint.

              from numpy.compat import pickle


class MMatrix(MaskedArray, np.matrix,):

    def __new__(cls, data, mask=nomask):
        mat = np.matrix(data)
        _data = MaskedArray.__new__(cls, data=mat, mask=mask)
        return _data

            

Reported by Pylint.

              
class MMatrix(MaskedArray, np.matrix,):

    def __new__(cls, data, mask=nomask):
        mat = np.matrix(data)
        _data = MaskedArray.__new__(cls, data=mat, mask=mask)
        return _data

    def __array_finalize__(self, obj):

            

Reported by Pylint.

                  @property
    def _series(self):
        _view = self.view(MaskedArray)
        _view._sharedmask = False
        return _view


class TestMaskedMatrix:
    def test_matrix_indexing(self):

            

Reported by Pylint.

                      str(x2)  # raises?
        repr(x2)  # raises?
        # tests of indexing
        assert_(type(x2[1, 0]) is type(x1[1, 0]))
        assert_(x1[1, 0] == x2[1, 0])
        assert_(x2[1, 1] is masked)
        assert_equal(x1[0, 2], x2[0, 2])
        assert_equal(x1[0, 1:], x2[0, 1:])
        assert_equal(x1[:, 2], x2[:, 2])

            

Reported by Pylint.

                      repr(x2)  # raises?
        # tests of indexing
        assert_(type(x2[1, 0]) is type(x1[1, 0]))
        assert_(x1[1, 0] == x2[1, 0])
        assert_(x2[1, 1] is masked)
        assert_equal(x1[0, 2], x2[0, 2])
        assert_equal(x1[0, 1:], x2[0, 1:])
        assert_equal(x1[:, 2], x2[:, 2])
        assert_equal(x1[:], x2[:])

            

Reported by Pylint.

                      # tests of indexing
        assert_(type(x2[1, 0]) is type(x1[1, 0]))
        assert_(x1[1, 0] == x2[1, 0])
        assert_(x2[1, 1] is masked)
        assert_equal(x1[0, 2], x2[0, 2])
        assert_equal(x1[0, 1:], x2[0, 1:])
        assert_equal(x1[:, 2], x2[:, 2])
        assert_equal(x1[:], x2[:])
        assert_equal(x1[1:], x3[1:])

            

Reported by Pylint.

                      assert_equal(x1, x2)
        x2[0, :] = x1[0, :]
        x2[0, 1] = masked
        assert_(allequal(getmask(x2), np.array([[0, 1, 0], [0, 1, 0]])))
        x3[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x3)[1], masked_array([1, 1, 0])))
        assert_(allequal(getmask(x3[1]), masked_array([1, 1, 0])))
        x4[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x4[1]), masked_array([1, 1, 0])))

            

Reported by Pylint.

                      x2[0, 1] = masked
        assert_(allequal(getmask(x2), np.array([[0, 1, 0], [0, 1, 0]])))
        x3[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x3)[1], masked_array([1, 1, 0])))
        assert_(allequal(getmask(x3[1]), masked_array([1, 1, 0])))
        x4[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x4[1]), masked_array([1, 1, 0])))
        assert_(allequal(x4[1], masked_array([1, 2, 3])))
        x1 = np.matrix(np.arange(5) * 1.0)

            

Reported by Pylint.

                      assert_(allequal(getmask(x2), np.array([[0, 1, 0], [0, 1, 0]])))
        x3[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x3)[1], masked_array([1, 1, 0])))
        assert_(allequal(getmask(x3[1]), masked_array([1, 1, 0])))
        x4[1, :] = masked_array([1, 2, 3], [1, 1, 0])
        assert_(allequal(getmask(x4[1]), masked_array([1, 1, 0])))
        assert_(allequal(x4[1], masked_array([1, 2, 3])))
        x1 = np.matrix(np.arange(5) * 1.0)
        x2 = masked_values(x1, 3.0)

            

Reported by Pylint.