integer_types = (int, integer)


def _fftshift_dispatcher(x, axes=None):
    return (x,)


@array_function_dispatch(_fftshift_dispatcher, module='numpy.fft')
def fftshift(x, axes=None):

            

Reported by Pylint.

              integer_types = (int, integer)


def _fftshift_dispatcher(x, axes=None):
    return (x,)


@array_function_dispatch(_fftshift_dispatcher, module='numpy.fft')
def fftshift(x, axes=None):

            

Reported by Pylint.

              

@array_function_dispatch(_fftshift_dispatcher, module='numpy.fft')
def fftshift(x, axes=None):
    """
    Shift the zero-frequency component to the center of the spectrum.

    This function swaps half-spaces for all axes listed (defaults to all).
    Note that ``y[0]`` is the Nyquist component only if ``len(x)`` is even.

            

Reported by Pylint.

              

@array_function_dispatch(_fftshift_dispatcher, module='numpy.fft')
def ifftshift(x, axes=None):
    """
    The inverse of `fftshift`. Although identical for even-length `x`, the
    functions differ by one sample for odd-length `x`.

    Parameters

            

Reported by Pylint.

              

@set_module('numpy.fft')
def fftfreq(n, d=1.0):
    """
    Return the Discrete Fourier Transform sample frequencies.

    The returned float array `f` contains the frequency bin centers in cycles
    per unit of the sample spacing (with zero at the start).  For instance, if

            

Reported by Pylint.

              

@set_module('numpy.fft')
def fftfreq(n, d=1.0):
    """
    Return the Discrete Fourier Transform sample frequencies.

    The returned float array `f` contains the frequency bin centers in cycles
    per unit of the sample spacing (with zero at the start).  For instance, if

            

Reported by Pylint.

                      raise ValueError("n should be an integer")
    val = 1.0 / (n * d)
    results = empty(n, int)
    N = (n-1)//2 + 1
    p1 = arange(0, N, dtype=int)
    results[:N] = p1
    p2 = arange(-(n//2), 0, dtype=int)
    results[N:] = p2
    return results * val

            

Reported by Pylint.

                  val = 1.0 / (n * d)
    results = empty(n, int)
    N = (n-1)//2 + 1
    p1 = arange(0, N, dtype=int)
    results[:N] = p1
    p2 = arange(-(n//2), 0, dtype=int)
    results[N:] = p2
    return results * val


            

Reported by Pylint.

                  N = (n-1)//2 + 1
    p1 = arange(0, N, dtype=int)
    results[:N] = p1
    p2 = arange(-(n//2), 0, dtype=int)
    results[N:] = p2
    return results * val


@set_module('numpy.fft')

            

Reported by Pylint.

              

@set_module('numpy.fft')
def rfftfreq(n, d=1.0):
    """
    Return the Discrete Fourier Transform sample frequencies
    (for usage with rfft, irfft).

    The returned float array `f` contains the frequency bin centers in cycles

            

Reported by Pylint.

              # be able to paste and execute docstrings after importing only the
# numpy module itself, unabbreviated.

from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.


            

Reported by Pylint.

              a line by itself, preferably preceded by a blank line.

"""
import os # standard library imports first

# Do NOT import using *, e.g. from numpy import *
#
# Import the module using
#

            

Reported by Pylint.

              # If you prefer the use of abbreviated module names, we suggest the
# convention used by NumPy itself::

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

# These abbreviated names are not to be used in docstrings; users must
# be able to paste and execute docstrings after importing only the

            

Reported by Pylint.

              # convention used by NumPy itself::

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

# These abbreviated names are not to be used in docstrings; users must
# be able to paste and execute docstrings after importing only the
# numpy module itself, unabbreviated.

            

Reported by Pylint.

              
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

# These abbreviated names are not to be used in docstrings; users must
# be able to paste and execute docstrings after importing only the
# numpy module itself, unabbreviated.


            

Reported by Pylint.

              # be able to paste and execute docstrings after importing only the
# numpy module itself, unabbreviated.

from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.


            

Reported by Pylint.

              # be able to paste and execute docstrings after importing only the
# numpy module itself, unabbreviated.

from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.


            

Reported by Pylint.

              
from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.

    Several sentences providing an extended description. Refer to
    variables using back-ticks, e.g. `var`.

            

Reported by Pylint.

              
from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.

    Several sentences providing an extended description. Refer to
    variables using back-ticks, e.g. `var`.

            

Reported by Pylint.

              
from my_module import my_func, other_func

def foo(var1, var2, long_var_name='hi'):
    r"""A one-line summary that does not use variable names or the
    function name.

    Several sentences providing an extended description. Refer to
    variables using back-ticks, e.g. `var`.

            

Reported by Pylint.

              import numpy as np

np.testing.bob  # E: Module has no attribute
np.bob  # E: Module has no attribute

# Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute

            

Reported by Pylint.

              import numpy as np

np.testing.bob  # E: Module has no attribute
np.bob  # E: Module has no attribute

# Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute

            

Reported by Pylint.

              import numpy as np

np.testing.bob  # E: Module has no attribute
np.bob  # E: Module has no attribute

# Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute

            

Reported by Pylint.

              np.bob  # E: Module has no attribute

# Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute
np.math  # E: Module has no attribute

# Public sub-modules that are not imported to their parent module by default;

            

Reported by Pylint.

              
# Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute
np.math  # E: Module has no attribute

# Public sub-modules that are not imported to their parent module by default;
# e.g. one must first execute `import numpy.lib.recfunctions`

            

Reported by Pylint.

              # Stdlib modules in the namespace by accident
np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute
np.math  # E: Module has no attribute

# Public sub-modules that are not imported to their parent module by default;
# e.g. one must first execute `import numpy.lib.recfunctions`
np.lib.recfunctions  # E: Module has no attribute

            

Reported by Pylint.

              np.warnings  # E: Module has no attribute
np.sys  # E: Module has no attribute
np.os  # E: Module has no attribute
np.math  # E: Module has no attribute

# Public sub-modules that are not imported to their parent module by default;
# e.g. one must first execute `import numpy.lib.recfunctions`
np.lib.recfunctions  # E: Module has no attribute


            

Reported by Pylint.

              
# Public sub-modules that are not imported to their parent module by default;
# e.g. one must first execute `import numpy.lib.recfunctions`
np.lib.recfunctions  # E: Module has no attribute

np.__NUMPY_SETUP__  # E: Module has no attribute
np.__deprecated_attrs__  # E: Module has no attribute
np.__expired_functions__  # E: Module has no attribute

            

Reported by Pylint.

              # e.g. one must first execute `import numpy.lib.recfunctions`
np.lib.recfunctions  # E: Module has no attribute

np.__NUMPY_SETUP__  # E: Module has no attribute
np.__deprecated_attrs__  # E: Module has no attribute
np.__expired_functions__  # E: Module has no attribute

            

Reported by Pylint.

              np.lib.recfunctions  # E: Module has no attribute

np.__NUMPY_SETUP__  # E: Module has no attribute
np.__deprecated_attrs__  # E: Module has no attribute
np.__expired_functions__  # E: Module has no attribute

            

Reported by Pylint.

              from typing import Any, Callable
import numpy as np

AR: np.ndarray[Any, Any]
func_float: Callable[[np.floating[Any]], str]
func_int: Callable[[np.integer[Any]], str]

reveal_type(np.get_printoptions())  # E: TypedDict
reveal_type(np.array2string(  # E: str

            

Reported by Pylint.

              import numpy as np

AR: np.ndarray[Any, Any]
func_float: Callable[[np.floating[Any]], str]
func_int: Callable[[np.integer[Any]], str]

reveal_type(np.get_printoptions())  # E: TypedDict
reveal_type(np.array2string(  # E: str
    AR, formatter={'float_kind': func_float, 'int_kind': func_int}

            

Reported by Pylint.

              func_float: Callable[[np.floating[Any]], str]
func_int: Callable[[np.integer[Any]], str]

reveal_type(np.get_printoptions())  # E: TypedDict
reveal_type(np.array2string(  # E: str
    AR, formatter={'float_kind': func_float, 'int_kind': func_int}
))
reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str

            

Reported by Pylint.

              func_int: Callable[[np.integer[Any]], str]

reveal_type(np.get_printoptions())  # E: TypedDict
reveal_type(np.array2string(  # E: str
    AR, formatter={'float_kind': func_float, 'int_kind': func_int}
))
reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str
reveal_type(np.array_repr(AR))  # E: str

            

Reported by Pylint.

              reveal_type(np.array2string(  # E: str
    AR, formatter={'float_kind': func_float, 'int_kind': func_int}
))
reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str
reveal_type(np.array_repr(AR))  # E: str
reveal_type(np.array_str(AR))  # E: str

reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager

            

Reported by Pylint.

                  AR, formatter={'float_kind': func_float, 'int_kind': func_int}
))
reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str
reveal_type(np.array_repr(AR))  # E: str
reveal_type(np.array_str(AR))  # E: str

reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager
with np.printoptions() as dct:

            

Reported by Pylint.

              ))
reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str
reveal_type(np.array_repr(AR))  # E: str
reveal_type(np.array_str(AR))  # E: str

reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager
with np.printoptions() as dct:
    reveal_type(dct)  # E: TypedDict

            

Reported by Pylint.

              reveal_type(np.format_float_scientific(1.0))  # E: str
reveal_type(np.format_float_positional(1))  # E: str
reveal_type(np.array_repr(AR))  # E: str
reveal_type(np.array_str(AR))  # E: str

reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager
with np.printoptions() as dct:
    reveal_type(dct)  # E: TypedDict

            

Reported by Pylint.

              reveal_type(np.array_repr(AR))  # E: str
reveal_type(np.array_str(AR))  # E: str

reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager
with np.printoptions() as dct:
    reveal_type(dct)  # E: TypedDict

            

Reported by Pylint.

              
reveal_type(np.printoptions())  # E: contextlib._GeneratorContextManager
with np.printoptions() as dct:
    reveal_type(dct)  # E: TypedDict

            

Reported by Pylint.

              
compilers = ['VastFCompiler']

class VastFCompiler(GnuFCompiler):
    compiler_type = 'vast'
    compiler_aliases = ()
    description = 'Pacific-Sierra Research Fortran 90 Compiler'
    version_pattern = (r'\s*Pacific-Sierra Research vf90 '
                       r'(Personal|Professional)\s+(?P<version>[^\s]*)')

            

Reported by Pylint.

              
compilers = ['VastFCompiler']

class VastFCompiler(GnuFCompiler):
    compiler_type = 'vast'
    compiler_aliases = ()
    description = 'Pacific-Sierra Research Fortran 90 Compiler'
    version_pattern = (r'\s*Pacific-Sierra Research vf90 '
                       r'(Personal|Professional)\s+(?P<version>[^\s]*)')

            

Reported by Pylint.

                      'archiver'     : ["ar", "-cr"],
        'ranlib'       : ["ranlib"]
        }
    module_dir_switch = None  #XXX Fix me
    module_include_switch = None #XXX Fix me

    def find_executables(self):
        pass


            

Reported by Pylint.

                      'ranlib'       : ["ranlib"]
        }
    module_dir_switch = None  #XXX Fix me
    module_include_switch = None #XXX Fix me

    def find_executables(self):
        pass

    def get_version_cmd(self):

            

Reported by Pylint.

                      vast_version = self.get_version()
        gnu = GnuFCompiler()
        gnu.customize(None)
        self.version = gnu.get_version()
        opt = GnuFCompiler.get_flags_arch(self)
        self.version = vast_version
        return opt

if __name__ == '__main__':

            

Reported by Pylint.

                      gnu.customize(None)
        self.version = gnu.get_version()
        opt = GnuFCompiler.get_flags_arch(self)
        self.version = vast_version
        return opt

if __name__ == '__main__':
    from distutils import log
    log.set_verbosity(2)

            

Reported by Pylint.

              import os

from numpy.distutils.fcompiler.gnu import GnuFCompiler

compilers = ['VastFCompiler']

class VastFCompiler(GnuFCompiler):
    compiler_type = 'vast'
    compiler_aliases = ()

            

Reported by Pylint.

              
compilers = ['VastFCompiler']

class VastFCompiler(GnuFCompiler):
    compiler_type = 'vast'
    compiler_aliases = ()
    description = 'Pacific-Sierra Research Fortran 90 Compiler'
    version_pattern = (r'\s*Pacific-Sierra Research vf90 '
                       r'(Personal|Professional)\s+(?P<version>[^\s]*)')

            

Reported by Pylint.

                  def find_executables(self):
        pass

    def get_version_cmd(self):
        f90 = self.compiler_f90[0]
        d, b = os.path.split(f90)
        vf90 = os.path.join(d, 'v'+b)
        return vf90


            

Reported by Pylint.

              
    def get_version_cmd(self):
        f90 = self.compiler_f90[0]
        d, b = os.path.split(f90)
        vf90 = os.path.join(d, 'v'+b)
        return vf90

    def get_flags_arch(self):
        vast_version = self.get_version()

            

Reported by Pylint.

              
class TestArgsort:
    """ gh-8701 """
    def _test_base(self, argsort, cls):
        arr_0d = np.array(1).view(cls)
        argsort(arr_0d)

        arr_1d = np.array([1, 2, 3]).view(cls)
        argsort(arr_1d)

            

Reported by Pylint.

                      argsort(arr_2d, axis=None)
        argsort(arr_2d, axis=-1)

    def test_function_ndarray(self):
        return self._test_base(np.ma.argsort, np.ndarray)

    def test_function_maskedarray(self):
        return self._test_base(np.ma.argsort, np.ma.MaskedArray)


            

Reported by Pylint.

                  def test_function_ndarray(self):
        return self._test_base(np.ma.argsort, np.ndarray)

    def test_function_maskedarray(self):
        return self._test_base(np.ma.argsort, np.ma.MaskedArray)

    def test_method(self):
        return self._test_base(np.ma.MaskedArray.argsort, np.ma.MaskedArray)


            

Reported by Pylint.

                  def test_function_maskedarray(self):
        return self._test_base(np.ma.argsort, np.ma.MaskedArray)

    def test_method(self):
        return self._test_base(np.ma.MaskedArray.argsort, np.ma.MaskedArray)


class TestMinimumMaximum:
    def test_minimum(self):

            

Reported by Pylint.

                      return self._test_base(np.ma.MaskedArray.argsort, np.ma.MaskedArray)


class TestMinimumMaximum:
    def test_minimum(self):
        assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))

    def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))

            

Reported by Pylint.

              

class TestMinimumMaximum:
    def test_minimum(self):
        assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))

    def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))


            

Reported by Pylint.

              

class TestMinimumMaximum:
    def test_minimum(self):
        assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))

    def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))


            

Reported by Pylint.

                  def test_minimum(self):
        assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))

    def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))

    def test_axis_default(self):
        # NumPy 1.13, 2017-05-06


            

Reported by Pylint.

                  def test_minimum(self):
        assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))

    def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))

    def test_axis_default(self):
        # NumPy 1.13, 2017-05-06


            

Reported by Pylint.

                  def test_maximum(self):
        assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))

    def test_axis_default(self):
        # NumPy 1.13, 2017-05-06

        data1d = np.ma.arange(6)
        data2d = data1d.reshape(2, 3)


            

Reported by Pylint.

              from typing import Union, Tuple, Any

import numpy as np

# NOTE: `_StrLike_co` and `_BytesLike_co` are pointless, as `np.str_` and
# `np.bytes_` are already subclasses of their builtin counterpart

_CharLike_co = Union[str, bytes]


            

Reported by Pylint.

              # NOTE: `_StrLike_co` and `_BytesLike_co` are pointless, as `np.str_` and
# `np.bytes_` are already subclasses of their builtin counterpart

_CharLike_co = Union[str, bytes]

# The 6 `<X>Like_co` type-aliases below represent all scalars that can be
# coerced into `<X>` (with the casting rule `same_kind`)
_BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]

            

Reported by Pylint.

              
# The 6 `<X>Like_co` type-aliases below represent all scalars that can be
# coerced into `<X>` (with the casting rule `same_kind`)
_BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]
_IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

            

Reported by Pylint.

              # The 6 `<X>Like_co` type-aliases below represent all scalars that can be
# coerced into `<X>` (with the casting rule `same_kind`)
_BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]
_IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]


            

Reported by Pylint.

              # coerced into `<X>` (with the casting rule `same_kind`)
_BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]
_IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]

            

Reported by Pylint.

              _BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]
_IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]
_ScalarLike_co = Union[

            

Reported by Pylint.

              _UIntLike_co = Union[_BoolLike_co, np.unsignedinteger]
_IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]
_ScalarLike_co = Union[
    int,

            

Reported by Pylint.

              _IntLike_co = Union[_BoolLike_co, int, np.integer]
_FloatLike_co = Union[_IntLike_co, float, np.floating]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]
_ScalarLike_co = Union[
    int,
    float,

            

Reported by Pylint.

              _ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]
_ScalarLike_co = Union[
    int,
    float,
    complex,
    str,

            

Reported by Pylint.

              _TD64Like_co = Union[_IntLike_co, np.timedelta64]

_NumberLike_co = Union[int, float, complex, np.number, np.bool_]
_ScalarLike_co = Union[
    int,
    float,
    complex,
    str,
    bytes,

            

Reported by Pylint.

              import sys
import re
from git import Repo
from github import Github

if sys.version_info[:2] < (3, 6):
    raise RuntimeError("Python version must be >= 3.6")

this_repo = Repo(os.path.join(os.path.dirname(__file__), ".."))

            

Reported by Pylint.

              

def get_authors(revision_range):
    lst_release, cur_release = [r.strip() for r in revision_range.split('..')]
    authors_pat = r'^.*\t(.*)$'

    # authors and co-authors in current and previous releases.
    grp1 = '--group=author'
    grp2 = '--group=trailer:co-authored-by'

            

Reported by Pylint.

              

def main(token, revision_range):
    lst_release, cur_release = [r.strip() for r in revision_range.split('..')]

    github = Github(token)
    github_repo = github.get_repo('numpy/numpy')

    # document authors

            

Reported by Pylint.

              

def main(token, revision_range):
    lst_release, cur_release = [r.strip() for r in revision_range.split('..')]

    github = Github(token)
    github_repo = github.get_repo('numpy/numpy')

    # document authors

            

Reported by Pylint.

              
this_repo = Repo(os.path.join(os.path.dirname(__file__), ".."))

author_msg =\
"""
A total of %d people contributed to this release.  People with a "+" by their
names contributed a patch for the first time.
"""


            

Reported by Pylint.

              names contributed a patch for the first time.
"""

pull_request_msg =\
"""
A total of %d pull requests were merged for this release.
"""



            

Reported by Pylint.

              """


def get_authors(revision_range):
    lst_release, cur_release = [r.strip() for r in revision_range.split('..')]
    authors_pat = r'^.*\t(.*)$'

    # authors and co-authors in current and previous releases.
    grp1 = '--group=author'

            

Reported by Pylint.

              
    # Append '+' to new authors.
    authors_new = [s + ' +' for s in authors_cur - authors_pre]
    authors_old = [s for s in authors_cur & authors_pre]
    authors = authors_new + authors_old
    authors.sort()
    return authors



            

Reported by Pylint.

                  return authors


def get_pull_requests(repo, revision_range):
    prnums = []

    # From regular merges
    merges = this_repo.git.log(
        '--oneline', '--merges', revision_range)

            

Reported by Pylint.

                  return prs


def main(token, revision_range):
    lst_release, cur_release = [r.strip() for r in revision_range.split('..')]

    github = Github(token)
    github_repo = github.get_repo('numpy/numpy')


            

Reported by Pylint.

                      True

        """
        import pytest
        import warnings

        module = sys.modules[self.module_name]
        module_path = os.path.abspath(module.__path__[0])


            

Reported by Pylint.

                  print("NumPy version %s" % np.__version__)
    relaxed_strides = np.ones((10, 1), order="C").flags.f_contiguous
    print("NumPy relaxed strides checking option:", relaxed_strides)
    info = np.lib.utils._opt_info()
    print("NumPy CPU features: ", (info if info else 'nothing enabled'))



class PytestTester:

            

Reported by Pylint.

                      # so fetch module for suppression here.
        with warnings.catch_warnings():
            warnings.simplefilter("always")
            from numpy.distutils import cpuinfo

        # Filter out annoying import messages. Want these in both develop and
        # release mode.
        pytest_args += [
            "-W ignore:Not importing directory",

            

Reported by Pylint.

              

def _show_numpy_info():
    import numpy as np

    print("NumPy version %s" % np.__version__)
    relaxed_strides = np.ones((10, 1), order="C").flags.f_contiguous
    print("NumPy relaxed strides checking option:", relaxed_strides)
    info = np.lib.utils._opt_info()

            

Reported by Pylint.

              


class PytestTester:
    """
    Pytest test runner.

    A test function is typically added to a package's __init__.py like so::


            

Reported by Pylint.

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

    def __call__(self, label='fast', verbose=1, extra_argv=None,
                 doctests=False, coverage=False, durations=-1, tests=None):
        """
        Run tests for module using pytest.

        Parameters

            

Reported by Pylint.

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

    def __call__(self, label='fast', verbose=1, extra_argv=None,
                 doctests=False, coverage=False, durations=-1, tests=None):
        """
        Run tests for module using pytest.

        Parameters

            

Reported by Pylint.

                      True

        """
        import pytest
        import warnings

        module = sys.modules[self.module_name]
        module_path = os.path.abspath(module.__path__[0])


            

Reported by Pylint.

              
        """
        import pytest
        import warnings

        module = sys.modules[self.module_name]
        module_path = os.path.abspath(module.__path__[0])

        # setup the pytest arguments

            

Reported by Pylint.

                      # so fetch module for suppression here.
        with warnings.catch_warnings():
            warnings.simplefilter("always")
            from numpy.distutils import cpuinfo

        # Filter out annoying import messages. Want these in both develop and
        # release mode.
        pytest_args += [
            "-W ignore:Not importing directory",

            

Reported by Pylint.

              compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']


class PGroupFCompiler(FCompiler):

    compiler_type = 'pg'
    description = 'Portland Group Fortran Compiler'
    version_pattern = r'\s*pg(f77|f90|hpf|fortran) (?P<version>[\d.-]+).*'


            

Reported by Pylint.

              compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']


class PGroupFCompiler(FCompiler):

    compiler_type = 'pg'
    description = 'Portland Group Fortran Compiler'
    version_pattern = r'\s*pg(f77|f90|hpf|fortran) (?P<version>[\d.-]+).*'


            

Reported by Pylint.

                      def get_flags_linker_so(self):
            return ["-shared", '-fpic']

    def runtime_library_dir_option(self, dir):
        return '-R%s' % dir


import functools


            

Reported by Pylint.

                  def get_flags_arch(self):
        return []

    def runtime_library_dir_option(self, dir):
        raise NotImplementedError


if __name__ == '__main__':
    from distutils import log

            

Reported by Pylint.

              # http://www.pgroup.com
import sys

from numpy.distutils.fcompiler import FCompiler
from sys import platform
from os.path import join, dirname, normpath

compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']


            

Reported by Pylint.

              import sys

from numpy.distutils.fcompiler import FCompiler
from sys import platform
from os.path import join, dirname, normpath

compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']



            

Reported by Pylint.

              
from numpy.distutils.fcompiler import FCompiler
from sys import platform
from os.path import join, dirname, normpath

compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']


class PGroupFCompiler(FCompiler):

            

Reported by Pylint.

              compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']


class PGroupFCompiler(FCompiler):

    compiler_type = 'pg'
    description = 'Portland Group Fortran Compiler'
    version_pattern = r'\s*pg(f77|f90|hpf|fortran) (?P<version>[\d.-]+).*'


            

Reported by Pylint.

                      return '-R%s' % dir


import functools

class PGroupFlangCompiler(FCompiler):
    compiler_type = 'flang'
    description = 'Portland Group Fortran LLVM Compiler'
    version_pattern = r'\s*(flang|clang) version (?P<version>[\d.-]+).*'

            

Reported by Pylint.

                      return '-R%s' % dir


import functools

class PGroupFlangCompiler(FCompiler):
    compiler_type = 'flang'
    description = 'Portland Group Fortran LLVM Compiler'
    version_pattern = r'\s*(flang|clang) version (?P<version>[\d.-]+).*'

            

Reported by Pylint.