import numpy as np

def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...

            

Reported by Pylint.

              
import numpy as np

def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...

            

Reported by Pylint.

              import numpy as np

def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...


            

Reported by Pylint.

              import numpy as np

def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...


            

Reported by Pylint.

              import numpy as np

def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...


            

Reported by Pylint.

              
def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...

class Write2:

            

Reported by Pylint.

              
def func1(a: str, b: int) -> None: ...
def func2(a: str, b: int, c: float = ...) -> None: ...
def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...

class Write2:

            

Reported by Pylint.

              def func3(a: str, b: int) -> int: ...

class Write1:
    def write(self, a: str) -> None: ...

class Write2:
    def write(self, a: str, b: int = ...) -> None: ...

class Write3:

            

Reported by Pylint.

                  def write(self, a: str) -> None: ...

class Write2:
    def write(self, a: str, b: int = ...) -> None: ...

class Write3:
    def write(self, a: str) -> int: ...



            

Reported by Pylint.

                  def write(self, a: str) -> None: ...

class Write2:
    def write(self, a: str, b: int = ...) -> None: ...

class Write3:
    def write(self, a: str) -> int: ...



            

Reported by Pylint.

              # to reduce the initial 'import numpy' overhead by
# deferring the import of lzma, bz2 and gzip until needed

# TODO: .zip support, .tar support?
class _FileOpeners:
    """
    Container for different methods to open (un-)compressed files.

    `_FileOpeners` contains a dictionary that holds one method for each

            

Reported by Pylint.

              
_file_openers = _FileOpeners()

def open(path, mode='r', destpath=os.curdir, encoding=None, newline=None):
    """
    Open `path` with `mode` and return the file object.

    If ``path`` is an URL, it will be downloaded, stored in the
    `DataSource` `destpath` directory and opened from there.

            

Reported by Pylint.

                      """Test if the filename is a zip file by looking at the file extension.

        """
        fname, ext = os.path.splitext(filename)
        return ext in _file_openers.keys()

    def _iswritemode(self, mode):
        """Test if the given mode will open a file for writing."""


            

Reported by Pylint.

                      #       test that also?  Similar to the way we append .gz and test for
        #       for compressed versions of files.

        scheme, netloc, upath, uparams, uquery, ufrag = urlparse(path)
        return bool(scheme and netloc)

    def _cache(self, path):
        """Cache the file specified by path.


            

Reported by Pylint.

                      #       test that also?  Similar to the way we append .gz and test for
        #       for compressed versions of files.

        scheme, netloc, upath, uparams, uquery, ufrag = urlparse(path)
        return bool(scheme and netloc)

    def _cache(self, path):
        """Cache the file specified by path.


            

Reported by Pylint.

                      #       test that also?  Similar to the way we append .gz and test for
        #       for compressed versions of files.

        scheme, netloc, upath, uparams, uquery, ufrag = urlparse(path)
        return bool(scheme and netloc)

    def _cache(self, path):
        """Cache the file specified by path.


            

Reported by Pylint.

                      #       test that also?  Similar to the way we append .gz and test for
        #       for compressed versions of files.

        scheme, netloc, upath, uparams, uquery, ufrag = urlparse(path)
        return bool(scheme and netloc)

    def _cache(self, path):
        """Cache the file specified by path.


            

Reported by Pylint.

                      # a significant fraction of numpy's total import time.
        import shutil
        from urllib.request import urlopen
        from urllib.error import URLError

        upath = self.abspath(path)

        # ensure directory exists
        if not os.path.exists(os.path.dirname(upath)):

            

Reported by Pylint.

                      if not os.path.exists(os.path.dirname(upath)):
            os.makedirs(os.path.dirname(upath))

        # TODO: Doesn't handle compressed files!
        if self._isurl(path):
            with urlopen(path) as openedurl:
                with _open(upath, 'wb') as f:
                    shutil.copyfileobj(openedurl, f)
        else:

            

Reported by Pylint.

              
        # TODO: Doesn't handle compressed files!
        if self._isurl(path):
            with urlopen(path) as openedurl:
                with _open(upath, 'wb') as f:
                    shutil.copyfileobj(openedurl, f)
        else:
            shutil.copyfile(path, upath)
        return upath

            

Reported by Bandit.

                      except TypeError as e:
            if "after * must be" not in str(e):
                raise
            raise TypeError(
                "Parameters must be tuples, but %r is not (hint: use '(%r, )')"
                %(args, args),
            )

    def __repr__(self):

            

Reported by Pylint.

                          >>> parameterized_argument_value_pairs(func, p)
            [("foo", 1), ("*args", (16, ))]
    """
    argspec = inspect.getargspec(func)
    arg_offset = 1 if argspec.args[:1] == ["self"] else 0

    named_args = argspec.args[arg_offset:]

    result = list(zip(named_args, p.args))

            

Reported by Pylint.

                      x_repr = x_repr[:n//2] + "..." + x_repr[len(x_repr) - n//2:]
    return x_repr

def default_doc_func(func, num, p):
    if func.__doc__ is None:
        return None

    all_args_with_values = parameterized_argument_value_pairs(func, p)


            

Reported by Pylint.

              }

def set_test_runner(name):
    global _test_runner_override
    if name not in _test_runners:
        raise TypeError(
            "Invalid test runner: %r (must be one of: %s)"
            %(name, ", ".join(_test_runners)),
        )

            

Reported by Pylint.

                      stack frame immediately outside. """
    if _test_runner_override is not None:
        return _test_runner_override
    global _test_runner_guess
    if _test_runner_guess is False:
        stack = inspect.stack()
        for record in reversed(stack):
            frame = record[0]
            module = frame.f_globals.get("__name__").partition(".")[0]

            

Reported by Pylint.

                              assert_equal(a + b, expected)
        """

    def __init__(self, input, doc_func=None):
        self.get_input = self.input_as_callable(input)
        self.doc_func = doc_func or default_doc_func

    def __call__(self, test_func):
        self.assert_not_in_testcase_subclass()

            

Reported by Pylint.

                          return []
        _, _, parents = code_context.partition("(")
        parents, _, _ = parents.partition(")")
        return eval("[" + parents + "]", frame[0].f_globals, frame[0].f_locals)

    @classmethod
    def input_as_callable(cls, input):
        if callable(input):
            return lambda: cls.check_input_values(input())

            

Reported by Pylint.

                          return []
        _, _, parents = code_context.partition("(")
        parents, _, _ = parents.partition(")")
        return eval("[" + parents + "]", frame[0].f_globals, frame[0].f_locals)

    @classmethod
    def input_as_callable(cls, input):
        if callable(input):
            return lambda: cls.check_input_values(input())

            

Reported by Bandit.

                      return eval("[" + parents + "]", frame[0].f_globals, frame[0].f_locals)

    @classmethod
    def input_as_callable(cls, input):
        if callable(input):
            return lambda: cls.check_input_values(input())
        input_values = cls.check_input_values(input)
        return lambda: input_values


            

Reported by Pylint.

                      return [ param.from_decorator(p) for p in input_values ]

    @classmethod
    def expand(cls, input, name_func=None, doc_func=None, **legacy):
        """ A "brute force" method of parameterizing test cases. Creates new
            test cases and injects them into the namespace that the wrapped
            function is being defined in. Useful for parameterizing tests in
            subclasses of 'UnitTest', where Nose test generators don't work.


            

Reported by Pylint.

              import pytest
from numpy.core._simd import targets
"""
This testing unit only for checking the sanity of common functionality,
therefore all we need is just to take one submodule that represents any
of enabled SIMD extensions to run the test on it and the second submodule
required to run only one check related to the possibility of mixing
the data types among each submodule.
"""

            

Reported by Pylint.

              import pytest
from numpy.core._simd import targets
"""
This testing unit only for checking the sanity of common functionality,
therefore all we need is just to take one submodule that represents any
of enabled SIMD extensions to run the test on it and the second submodule
required to run only one check related to the possibility of mixing
the data types among each submodule.
"""

            

Reported by Pylint.

              import pytest
from numpy.core._simd import targets
"""
This testing unit only for checking the sanity of common functionality,
therefore all we need is just to take one submodule that represents any
of enabled SIMD extensions to run the test on it and the second submodule
required to run only one check related to the possibility of mixing
the data types among each submodule.
"""

            

Reported by Pylint.

                  def test_raises(self):
        a, b = [npyv.setall_u32(1)]*2
        for sfx in all_sfx:
            vcb = lambda intrin: getattr(npyv, f"{intrin}_{sfx}")
            pytest.raises(TypeError, vcb("add"), a)
            pytest.raises(TypeError, vcb("add"), a, b, a)
            pytest.raises(TypeError, vcb("setall"))
            pytest.raises(TypeError, vcb("setall"), [1])
            pytest.raises(TypeError, vcb("load"), 1)

            

Reported by Pylint.

              import pytest
from numpy.core._simd import targets
"""
This testing unit only for checking the sanity of common functionality,
therefore all we need is just to take one submodule that represents any
of enabled SIMD extensions to run the test on it and the second submodule
required to run only one check related to the possibility of mixing
the data types among each submodule.
"""

            

Reported by Pylint.

              all_sfx = unsigned_sfx + int_sfx

@pytest.mark.skipif(not npyv, reason="could not find any SIMD extension with NPYV support")
class Test_SIMD_MODULE:

    @pytest.mark.parametrize('sfx', all_sfx)
    def test_num_lanes(self, sfx):
        nlanes = getattr(npyv, "nlanes_" + sfx)
        vector = getattr(npyv, "setall_" + sfx)(1)

            

Reported by Pylint.

              all_sfx = unsigned_sfx + int_sfx

@pytest.mark.skipif(not npyv, reason="could not find any SIMD extension with NPYV support")
class Test_SIMD_MODULE:

    @pytest.mark.parametrize('sfx', all_sfx)
    def test_num_lanes(self, sfx):
        nlanes = getattr(npyv, "nlanes_" + sfx)
        vector = getattr(npyv, "setall_" + sfx)(1)

            

Reported by Pylint.

              class Test_SIMD_MODULE:

    @pytest.mark.parametrize('sfx', all_sfx)
    def test_num_lanes(self, sfx):
        nlanes = getattr(npyv, "nlanes_" + sfx)
        vector = getattr(npyv, "setall_" + sfx)(1)
        assert len(vector) == nlanes

    @pytest.mark.parametrize('sfx', all_sfx)

            

Reported by Pylint.

              class Test_SIMD_MODULE:

    @pytest.mark.parametrize('sfx', all_sfx)
    def test_num_lanes(self, sfx):
        nlanes = getattr(npyv, "nlanes_" + sfx)
        vector = getattr(npyv, "setall_" + sfx)(1)
        assert len(vector) == nlanes

    @pytest.mark.parametrize('sfx', all_sfx)

            

Reported by Pylint.

                  def test_num_lanes(self, sfx):
        nlanes = getattr(npyv, "nlanes_" + sfx)
        vector = getattr(npyv, "setall_" + sfx)(1)
        assert len(vector) == nlanes

    @pytest.mark.parametrize('sfx', all_sfx)
    def test_type_name(self, sfx):
        vector = getattr(npyv, "setall_" + sfx)(1)
        assert vector.__name__ == "npyv_" + sfx

            

Reported by Bandit.

              Test scalar buffer interface adheres to PEP 3118
"""
import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import get_buffer_info
import pytest

from numpy.testing import assert_, assert_equal, assert_raises


            

Reported by Pylint.

              """
import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import get_buffer_info
import pytest

from numpy.testing import assert_, assert_equal, assert_raises

# PEP3118 format strings for native (standard alignment and byteorder) types

            

Reported by Pylint.

              import numpy as np
from numpy.core._rational_tests import rational
from numpy.core._multiarray_tests import get_buffer_info
import pytest

from numpy.testing import assert_, assert_equal, assert_raises

# PEP3118 format strings for native (standard alignment and byteorder) types
scalars_and_codes = [

            

Reported by Pylint.

                  def test_void_scalar_structured_data(self):
        dt = np.dtype([('name', np.unicode_, 16), ('grades', np.float64, (2,))])
        x = np.array(('ndarray_scalar', (1.2, 3.0)), dtype=dt)[()]
        assert_(isinstance(x, np.void))
        mv_x = memoryview(x)
        expected_size = 16 * np.dtype((np.unicode_, 1)).itemsize
        expected_size += 2 * np.dtype(np.float64).itemsize
        assert_equal(mv_x.itemsize, expected_size)
        assert_equal(mv_x.ndim, 0)

            

Reported by Pylint.

              
        # check scalar format string against ndarray format string
        a = np.array([('Sarah', (8.0, 7.0)), ('John', (6.0, 7.0))], dtype=dt)
        assert_(isinstance(a, np.ndarray))
        mv_a = memoryview(a)
        assert_equal(mv_x.itemsize, mv_a.itemsize)
        assert_equal(mv_x.format, mv_a.format)

        # Check that we do not allow writeable buffer export (technically

            

Reported by Pylint.

              from numpy.core._multiarray_tests import get_buffer_info
import pytest

from numpy.testing import assert_, assert_equal, assert_raises

# PEP3118 format strings for native (standard alignment and byteorder) types
scalars_and_codes = [
    (np.bool_, '?'),
    (np.byte, 'b'),

            

Reported by Pylint.

              scalars_only, codes_only = zip(*scalars_and_codes)


class TestScalarPEP3118:

    @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
    def test_scalar_match_array(self, scalar):
        x = scalar()
        a = np.array([], dtype=np.dtype(scalar))

            

Reported by Pylint.

              class TestScalarPEP3118:

    @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
    def test_scalar_match_array(self, scalar):
        x = scalar()
        a = np.array([], dtype=np.dtype(scalar))
        mv_x = memoryview(x)
        mv_a = memoryview(a)
        assert_equal(mv_x.format, mv_a.format)

            

Reported by Pylint.

              class TestScalarPEP3118:

    @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
    def test_scalar_match_array(self, scalar):
        x = scalar()
        a = np.array([], dtype=np.dtype(scalar))
        mv_x = memoryview(x)
        mv_a = memoryview(a)
        assert_equal(mv_x.format, mv_a.format)

            

Reported by Pylint.

              
    @pytest.mark.parametrize('scalar', scalars_only, ids=codes_only)
    def test_scalar_match_array(self, scalar):
        x = scalar()
        a = np.array([], dtype=np.dtype(scalar))
        mv_x = memoryview(x)
        mv_a = memoryview(a)
        assert_equal(mv_x.format, mv_a.format)


            

Reported by Pylint.

              import numpy as np
from numpy.testing import (
        assert_raises, assert_raises_regex,
        )


class TestIndexErrors:
    '''Tests to exercise indexerrors not covered by other tests.'''


            

Reported by Pylint.

              class TestIndexErrors:
    '''Tests to exercise indexerrors not covered by other tests.'''

    def test_arraytypes_fasttake(self):
        'take from a 0-length dimension'
        x = np.empty((2, 3, 0, 4))
        assert_raises(IndexError, x.take, [0], axis=2)
        assert_raises(IndexError, x.take, [1], axis=2)
        assert_raises(IndexError, x.take, [0], axis=2, mode='wrap')

            

Reported by Pylint.

              
    def test_arraytypes_fasttake(self):
        'take from a 0-length dimension'
        x = np.empty((2, 3, 0, 4))
        assert_raises(IndexError, x.take, [0], axis=2)
        assert_raises(IndexError, x.take, [1], axis=2)
        assert_raises(IndexError, x.take, [0], axis=2, mode='wrap')
        assert_raises(IndexError, x.take, [0], axis=2, mode='clip')


            

Reported by Pylint.

                      assert_raises(IndexError, x.take, [0], axis=2, mode='wrap')
        assert_raises(IndexError, x.take, [0], axis=2, mode='clip')

    def test_take_from_object(self):
        # Check exception taking from object array
        d = np.zeros(5, dtype=object)
        assert_raises(IndexError, d.take, [6])

        # Check exception taking from 0-d array

            

Reported by Pylint.

                      assert_raises(IndexError, x.take, [0], axis=2, mode='wrap')
        assert_raises(IndexError, x.take, [0], axis=2, mode='clip')

    def test_take_from_object(self):
        # Check exception taking from object array
        d = np.zeros(5, dtype=object)
        assert_raises(IndexError, d.take, [6])

        # Check exception taking from 0-d array

            

Reported by Pylint.

              
    def test_take_from_object(self):
        # Check exception taking from object array
        d = np.zeros(5, dtype=object)
        assert_raises(IndexError, d.take, [6])

        # Check exception taking from 0-d array
        d = np.zeros((5, 0), dtype=object)
        assert_raises(IndexError, d.take, [1], axis=1)

            

Reported by Pylint.

                      assert_raises(IndexError, d.take, [6])

        # Check exception taking from 0-d array
        d = np.zeros((5, 0), dtype=object)
        assert_raises(IndexError, d.take, [1], axis=1)
        assert_raises(IndexError, d.take, [0], axis=1)
        assert_raises(IndexError, d.take, [0])
        assert_raises(IndexError, d.take, [0], mode='wrap')
        assert_raises(IndexError, d.take, [0], mode='clip')

            

Reported by Pylint.

                      assert_raises(IndexError, d.take, [0], mode='wrap')
        assert_raises(IndexError, d.take, [0], mode='clip')

    def test_multiindex_exceptions(self):
        a = np.empty(5, dtype=object)
        assert_raises(IndexError, a.item, 20)
        a = np.empty((5, 0), dtype=object)
        assert_raises(IndexError, a.item, (0, 0))


            

Reported by Pylint.

                      assert_raises(IndexError, d.take, [0], mode='wrap')
        assert_raises(IndexError, d.take, [0], mode='clip')

    def test_multiindex_exceptions(self):
        a = np.empty(5, dtype=object)
        assert_raises(IndexError, a.item, 20)
        a = np.empty((5, 0), dtype=object)
        assert_raises(IndexError, a.item, (0, 0))


            

Reported by Pylint.

                      assert_raises(IndexError, d.take, [0], mode='clip')

    def test_multiindex_exceptions(self):
        a = np.empty(5, dtype=object)
        assert_raises(IndexError, a.item, 20)
        a = np.empty((5, 0), dtype=object)
        assert_raises(IndexError, a.item, (0, 0))

        a = np.empty(5, dtype=object)

            

Reported by Pylint.

              import operator
import types

from . import numeric as _nx
from .numeric import result_type, NaN, asanyarray, ndim
from numpy.core.multiarray import add_docstring
from numpy.core import overrides

__all__ = ['logspace', 'linspace', 'geomspace']

            

Reported by Pylint.

              import types

from . import numeric as _nx
from .numeric import result_type, NaN, asanyarray, ndim
from numpy.core.multiarray import add_docstring
from numpy.core import overrides

__all__ = ['logspace', 'linspace', 'geomspace']


            

Reported by Pylint.

                  overrides.array_function_dispatch, module='numpy')


def _linspace_dispatcher(start, stop, num=None, endpoint=None, retstep=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_linspace_dispatcher)

            

Reported by Pylint.

                  overrides.array_function_dispatch, module='numpy')


def _linspace_dispatcher(start, stop, num=None, endpoint=None, retstep=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_linspace_dispatcher)

            

Reported by Pylint.

                  overrides.array_function_dispatch, module='numpy')


def _linspace_dispatcher(start, stop, num=None, endpoint=None, retstep=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_linspace_dispatcher)

            

Reported by Pylint.

              

def _linspace_dispatcher(start, stop, num=None, endpoint=None, retstep=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_linspace_dispatcher)
def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None,

            

Reported by Pylint.

              

def _linspace_dispatcher(start, stop, num=None, endpoint=None, retstep=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_linspace_dispatcher)
def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None,

            

Reported by Pylint.

                      return y.astype(dtype, copy=False)


def _logspace_dispatcher(start, stop, num=None, endpoint=None, base=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_logspace_dispatcher)

            

Reported by Pylint.

                      return y.astype(dtype, copy=False)


def _logspace_dispatcher(start, stop, num=None, endpoint=None, base=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_logspace_dispatcher)

            

Reported by Pylint.

                      return y.astype(dtype, copy=False)


def _logspace_dispatcher(start, stop, num=None, endpoint=None, base=None,
                         dtype=None, axis=None):
    return (start, stop)


@array_function_dispatch(_logspace_dispatcher)

            

Reported by Pylint.

                              # multiple times within the same os process/thread without
                # giving the chance the previous instances of `CCompilerOpt`
                # to update the cache.
                self.compiler_opt.cache_flush()

            self.compiler_opt = new_ccompiler_opt(
                compiler=self.compiler, dispatch_hpath=dispatch_hpath,
                cpu_baseline=self.cpu_baseline, cpu_dispatch=self.cpu_dispatch,
                cache_path=opt_cache_path

            

Reported by Pylint.

                              include_dirs=include_dirs,
                debug=self.debug,
                extra_postargs=extra_postargs,
                ccompiler=cxx_compiler
            )

        if copt_c_sources:
            log.info("compiling C dispatch-able sources")
            objects += self.compiler_opt.try_dispatch(copt_c_sources,

            

Reported by Pylint.

                  def finalize_options(self):
        if self.parallel:
            try:
                self.parallel = int(self.parallel)
            except ValueError as e:
                raise ValueError("--parallel/-j argument must be an integer") from e
        old_build_clib.finalize_options(self)
        self.set_undefined_options('build',
                                        ('parallel', 'parallel'),

            

Reported by Pylint.

                                                )

    def have_f_sources(self):
        for (lib_name, build_info) in self.libraries:
            if has_f_sources(build_info.get('sources', [])):
                return True
        return False

    def have_cxx_sources(self):

            

Reported by Pylint.

                      return False

    def have_cxx_sources(self):
        for (lib_name, build_info) in self.libraries:
            if has_cxx_sources(build_info.get('sources', [])):
                return True
        return False

    def run(self):

            

Reported by Pylint.

                      # Make sure that extension sources are complete.
        self.run_command('build_src')

        for (lib_name, build_info) in self.libraries:
            l = build_info.get('language', None)
            if l and l not in languages:
                languages.append(l)

        from distutils.ccompiler import new_compiler

            

Reported by Pylint.

                              languages.append(l)

        from distutils.ccompiler import new_compiler
        self.compiler = new_compiler(compiler=self.compiler,
                                     dry_run=self.dry_run,
                                     force=self.force)
        self.compiler.customize(self.distribution,
                                need_cxx=self.have_cxx_sources())


            

Reported by Pylint.

                          self.compiler.compiler_so.append('-Werror')

        libraries = self.libraries
        self.libraries = None
        self.compiler.customize_cmd(self)
        self.libraries = libraries

        self.compiler.show_customization()


            

Reported by Pylint.

                      libraries = self.libraries
        self.libraries = None
        self.compiler.customize_cmd(self)
        self.libraries = libraries

        self.compiler.show_customization()

        if not self.disable_optimization:
            dispatch_hpath = os.path.join("numpy", "distutils", "include", "npy_cpu_dispatch_config.h")

            

Reported by Pylint.

                              # to update the cache.
                self.compiler_opt.cache_flush()

            self.compiler_opt = new_ccompiler_opt(
                compiler=self.compiler, dispatch_hpath=dispatch_hpath,
                cpu_baseline=self.cpu_baseline, cpu_dispatch=self.cpu_dispatch,
                cache_path=opt_cache_path
            )
            def report(copt):

            

Reported by Pylint.

              from numpy.core.numerictypes import find_common_type, issubdtype

import numpy.matrixlib as matrixlib
from .function_base import diff
from numpy.core.multiarray import ravel_multi_index, unravel_index
from numpy.core.overrides import set_module
from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided


            

Reported by Pylint.

              # applicable to N-dimensions.


def _fill_diagonal_dispatcher(a, val, wrap=None):
    return (a,)


@array_function_dispatch(_fill_diagonal_dispatcher)
def fill_diagonal(a, val, wrap=False):

            

Reported by Pylint.

              # applicable to N-dimensions.


def _fill_diagonal_dispatcher(a, val, wrap=None):
    return (a,)


@array_function_dispatch(_fill_diagonal_dispatcher)
def fill_diagonal(a, val, wrap=False):

            

Reported by Pylint.

              

@set_module('numpy')
def diag_indices(n, ndim=2):
    """
    Return the indices to access the main diagonal of an array.

    This returns a tuple of indices that can be used to access the main
    diagonal of an array `a` with ``a.ndim >= 2`` dimensions and shape

            

Reported by Pylint.

              import functools
import sys
import math
import warnings

import numpy.core.numeric as _nx
from numpy.core.numeric import (
    asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)

            

Reported by Pylint.

              import functools
import sys
import math
import warnings

import numpy.core.numeric as _nx
from numpy.core.numeric import (
    asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)

            

Reported by Pylint.

              
import numpy.matrixlib as matrixlib
from .function_base import diff
from numpy.core.multiarray import ravel_multi_index, unravel_index
from numpy.core.overrides import set_module
from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided



            

Reported by Pylint.

              import numpy.matrixlib as matrixlib
from .function_base import diff
from numpy.core.multiarray import ravel_multi_index, unravel_index
from numpy.core.overrides import set_module
from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided


array_function_dispatch = functools.partial(

            

Reported by Pylint.

              from .function_base import diff
from numpy.core.multiarray import ravel_multi_index, unravel_index
from numpy.core.overrides import set_module
from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided


array_function_dispatch = functools.partial(
    overrides.array_function_dispatch, module='numpy')

            

Reported by Pylint.

              from numpy.core.multiarray import ravel_multi_index, unravel_index
from numpy.core.overrides import set_module
from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided


array_function_dispatch = functools.partial(
    overrides.array_function_dispatch, module='numpy')


            

Reported by Pylint.

              import numpy as np
from numpy import f2py

reveal_type(np)  # E: ModuleType

reveal_type(np.char)  # E: ModuleType
reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType

            

Reported by Pylint.

              
reveal_type(np)  # E: ModuleType

reveal_type(np.char)  # E: ModuleType
reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np)  # E: ModuleType

reveal_type(np.char)  # E: ModuleType
reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType

            

Reported by Pylint.

              
reveal_type(np.char)  # E: ModuleType
reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.char)  # E: ModuleType
reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.ctypeslib)  # E: ModuleType
reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType
reveal_type(np.random)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.emath)  # E: ModuleType
reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType
reveal_type(np.random)  # E: ModuleType
reveal_type(np.rec)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.fft)  # E: ModuleType
reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType
reveal_type(np.random)  # E: ModuleType
reveal_type(np.rec)  # E: ModuleType
reveal_type(np.testing)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.lib)  # E: ModuleType
reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType
reveal_type(np.random)  # E: ModuleType
reveal_type(np.rec)  # E: ModuleType
reveal_type(np.testing)  # E: ModuleType
reveal_type(np.version)  # E: ModuleType

            

Reported by Pylint.

              reveal_type(np.linalg)  # E: ModuleType
reveal_type(np.ma)  # E: ModuleType
reveal_type(np.matrixlib)  # E: ModuleType
reveal_type(np.polynomial)  # E: ModuleType
reveal_type(np.random)  # E: ModuleType
reveal_type(np.rec)  # E: ModuleType
reveal_type(np.testing)  # E: ModuleType
reveal_type(np.version)  # E: ModuleType


            

Reported by Pylint.