else:
        res = re.match(version_pattern + dev_suffix + '$', np.__version__)

    assert_(res is not None, np.__version__)


def test_short_version():
    # Check numpy.short_version actually exists
    if np.version.release:

            

Reported by Pylint.

              def test_short_version():
    # Check numpy.short_version actually exists
    if np.version.release:
        assert_(np.__version__ == np.version.short_version,
                "short_version mismatch in release version")
    else:
        assert_(np.__version__.split("+")[0] == np.version.short_version,
                "short_version mismatch in development version")

            

Reported by Pylint.

                      assert_(np.__version__ == np.version.short_version,
                "short_version mismatch in release version")
    else:
        assert_(np.__version__.split("+")[0] == np.version.short_version,
                "short_version mismatch in development version")

            

Reported by Pylint.

              from numpy.testing import assert_


def test_valid_numpy_version():
    # Verify that the numpy version is a valid one (no .post suffix or other
    # nonsense).  See gh-6431 for an issue caused by an invalid version.
    version_pattern = r"^[0-9]+\.[0-9]+\.[0-9]+(a[0-9]|b[0-9]|rc[0-9]|)"
    dev_suffix = r"(\.dev0|)(\+[0-9]*\.g[0-9a-f]+|)"
    if np.version.release:

            

Reported by Pylint.

                  assert_(res is not None, np.__version__)


def test_short_version():
    # Check numpy.short_version actually exists
    if np.version.release:
        assert_(np.__version__ == np.version.short_version,
                "short_version mismatch in release version")
    else:

            

Reported by Pylint.

              from typing import Any, List

SEED_FLOAT: float = 457.3
SEED_ARR_FLOAT: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.0, 2, 3, 4])
SEED_ARRLIKE_FLOAT: List[float] = [1.0, 2.0, 3.0, 4.0]
SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
SEED_STR: str = "String seeding not allowed"
# default rng
np.random.default_rng(SEED_FLOAT)  # E: incompatible type

            

Reported by Pylint.

              import numpy as np
from typing import Any, List

SEED_FLOAT: float = 457.3
SEED_ARR_FLOAT: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.0, 2, 3, 4])
SEED_ARRLIKE_FLOAT: List[float] = [1.0, 2.0, 3.0, 4.0]
SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
SEED_STR: str = "String seeding not allowed"
# default rng

            

Reported by Pylint.

              import numpy as np
from typing import Any, List

SEED_FLOAT: float = 457.3
SEED_ARR_FLOAT: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.0, 2, 3, 4])
SEED_ARRLIKE_FLOAT: List[float] = [1.0, 2.0, 3.0, 4.0]
SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
SEED_STR: str = "String seeding not allowed"
# default rng

            

Reported by Pylint.

              np.random.SeedSequence(SEED_SEED_SEQ)  # E: incompatible type
np.random.SeedSequence(SEED_STR)  # E: incompatible type

seed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence()
seed_seq.spawn(11.5)  # E: incompatible type
seed_seq.generate_state(3.14)  # E: incompatible type
seed_seq.generate_state(3, np.uint8)  # E: incompatible type
seed_seq.generate_state(3, "uint8")  # E: incompatible type
seed_seq.generate_state(3, "u1")  # E: incompatible type

            

Reported by Pylint.

              
if __name__ == '__main__':
    # Run tests outside numpy test rig
    import nose
    from numpy.testing.noseclasses import NumpyDoctest
    argv = ['', __file__, '--with-numpydoctest']
    nose.core.TestProgram(argv=argv, addplugins=[NumpyDoctest()])

            

Reported by Pylint.

              if __name__ == '__main__':
    # Run tests outside numpy test rig
    import nose
    from numpy.testing.noseclasses import NumpyDoctest
    argv = ['', __file__, '--with-numpydoctest']
    nose.core.TestProgram(argv=argv, addplugins=[NumpyDoctest()])

            

Reported by Pylint.

              if __name__ == '__main__':
    # Run tests outside numpy test rig
    import nose
    from numpy.testing.noseclasses import NumpyDoctest
    argv = ['', __file__, '--with-numpydoctest']
    nose.core.TestProgram(argv=argv, addplugins=[NumpyDoctest()])

            

Reported by Pylint.

              """ Doctests for NumPy-specific nose/doctest modifications

"""
#FIXME: None of these tests is run, because 'check' is not a recognized
# testing prefix.

# try the #random directive on the output line
def check_random_directive():
    '''

            

Reported by Pylint.

              import sys
have_setuptools = ('setuptools' in sys.modules)

from distutils.command.install_data import install_data as old_install_data

#data installer with improved intelligence over distutils
#data files are copied into the project directory instead
#of willy-nilly
class install_data (old_install_data):

            

Reported by Pylint.

              import sys
have_setuptools = ('setuptools' in sys.modules)

from distutils.command.install_data import install_data as old_install_data

#data installer with improved intelligence over distutils
#data files are copied into the project directory instead
#of willy-nilly
class install_data (old_install_data):

            

Reported by Pylint.

              #data installer with improved intelligence over distutils
#data files are copied into the project directory instead
#of willy-nilly
class install_data (old_install_data):

    def run(self):
        old_install_data.run(self)

        if have_setuptools:

            

Reported by Pylint.

              #data installer with improved intelligence over distutils
#data files are copied into the project directory instead
#of willy-nilly
class install_data (old_install_data):

    def run(self):
        old_install_data.run(self)

        if have_setuptools:

            

Reported by Pylint.

                  def __ge__(self, value: object) -> bool:
        return True

    def __array__(self) -> np.ndarray[Any, np.dtype[np.object_]]:
        ret = np.empty((), dtype=object)
        ret[()] = self
        return ret



            

Reported by Pylint.

              AR_LIKE_i = [1, 2, 3]
AR_LIKE_f = [1.0, 2.0, 3.0]
AR_LIKE_O = [Object(), Object(), Object()]
AR_U: np.ndarray[Any, np.dtype[np.str_]] = np.zeros(3, dtype="U5")

np.fix(AR_LIKE_b)
np.fix(AR_LIKE_u)
np.fix(AR_LIKE_i)
np.fix(AR_LIKE_f)

            

Reported by Pylint.

              from __future__ import annotations
from typing import Any
import numpy as np


class Object:
    def __ceil__(self) -> Object:
        return self


            

Reported by Pylint.

              import numpy as np


class Object:
    def __ceil__(self) -> Object:
        return self

    def __floor__(self) -> Object:
        return self

            

Reported by Pylint.

              UPPER_TABLE = "".join(_all_chars[:97] + _ascii_upper + _all_chars[97+26:])


def english_lower(s):
    """ Apply English case rules to convert ASCII strings to all lower case.

    This is an internal utility function to replace calls to str.lower() such
    that we can avoid changing behavior with changing locales. In particular,
    Turkish has distinct dotted and dotless variants of the Latin letter "I" in

            

Reported by Pylint.

                  return lowered


def english_upper(s):
    """ Apply English case rules to convert ASCII strings to all upper case.

    This is an internal utility function to replace calls to str.upper() such
    that we can avoid changing behavior with changing locales. In particular,
    Turkish has distinct dotted and dotless variants of the Latin letter "I" in

            

Reported by Pylint.

                  return uppered


def english_capitalize(s):
    """ Apply English case rules to convert the first character of an ASCII
    string to upper case.

    This is an internal utility function to replace calls to str.capitalize()
    such that we can avoid changing behavior with changing locales.

            

Reported by Pylint.

                  >>> english_capitalize('')
    ''
    """
    if s:
        return english_upper(s[0]) + s[1:]
    else:
        return s

            

Reported by Pylint.

              
from numpy.distutils.from_template import process_str
from numpy.testing import assert_equal


pyf_src = """
python module foo
    <_rd=real,double precision>
    interface

            

Reported by Pylint.

              from numpy.testing import assert_equal


pyf_src = """
python module foo
    <_rd=real,double precision>
    interface
        subroutine <s,d>foosub(tol)
            <_rd>, intent(in,out) :: tol

            

Reported by Pylint.

              end python module foo
"""

expected_pyf = """
python module foo
    interface
        subroutine sfoosub(tol)
            real, intent(in,out) :: tol
        end subroutine sfoosub

            

Reported by Pylint.

              """


def normalize_whitespace(s):
    """
    Remove leading and trailing whitespace, and convert internal
    stretches of whitespace to a single space.
    """
    return ' '.join(s.split())

            

Reported by Pylint.

              
compilers = ['FujitsuFCompiler']

class FujitsuFCompiler(FCompiler):
    compiler_type = 'fujitsu'
    description = 'Fujitsu Fortran Compiler'

    possible_executables = ['frt']
    version_pattern = r'frt \(FRT\) (?P<version>[a-z\d.]+)'

            

Reported by Pylint.

              
compilers = ['FujitsuFCompiler']

class FujitsuFCompiler(FCompiler):
    compiler_type = 'fujitsu'
    description = 'Fujitsu Fortran Compiler'

    possible_executables = ['frt']
    version_pattern = r'frt \(FRT\) (?P<version>[a-z\d.]+)'

            

Reported by Pylint.

                      return ['-O3']
    def get_flags_debug(self):
        return ['-g']
    def runtime_library_dir_option(self, dir):
        return f'-Wl,-rpath={dir}'
    def get_libraries(self):
        return ['fj90f', 'fj90i', 'fjsrcinfo']

if __name__ == '__main__':

            

Reported by Pylint.

              
compilers = ['FujitsuFCompiler']

class FujitsuFCompiler(FCompiler):
    compiler_type = 'fujitsu'
    description = 'Fujitsu Fortran Compiler'

    possible_executables = ['frt']
    version_pattern = r'frt \(FRT\) (?P<version>[a-z\d.]+)'

            

Reported by Pylint.

              
#if NPY_IT_DBG_TRACING
#define NPY_IT_DBG_PRINT(s) printf("%s", s)
#define NPY_IT_DBG_PRINT1(s, p1) printf(s, p1)
#define NPY_IT_DBG_PRINT2(s, p1, p2) printf(s, p1, p2)
#define NPY_IT_DBG_PRINT3(s, p1, p2, p3) printf(s, p1, p2, p3)
#else
#define NPY_IT_DBG_PRINT(s)
#define NPY_IT_DBG_PRINT1(s, p1)

            

Reported by FlawFinder.

              #if NPY_IT_DBG_TRACING
#define NPY_IT_DBG_PRINT(s) printf("%s", s)
#define NPY_IT_DBG_PRINT1(s, p1) printf(s, p1)
#define NPY_IT_DBG_PRINT2(s, p1, p2) printf(s, p1, p2)
#define NPY_IT_DBG_PRINT3(s, p1, p2, p3) printf(s, p1, p2, p3)
#else
#define NPY_IT_DBG_PRINT(s)
#define NPY_IT_DBG_PRINT1(s, p1)
#define NPY_IT_DBG_PRINT2(s, p1, p2)

            

Reported by FlawFinder.

              #define NPY_IT_DBG_PRINT(s) printf("%s", s)
#define NPY_IT_DBG_PRINT1(s, p1) printf(s, p1)
#define NPY_IT_DBG_PRINT2(s, p1, p2) printf(s, p1, p2)
#define NPY_IT_DBG_PRINT3(s, p1, p2, p3) printf(s, p1, p2, p3)
#else
#define NPY_IT_DBG_PRINT(s)
#define NPY_IT_DBG_PRINT1(s, p1)
#define NPY_IT_DBG_PRINT2(s, p1, p2)
#define NPY_IT_DBG_PRINT3(s, p1, p2, p3)

            

Reported by FlawFinder.

              /* Internal-only BUFFERDATA MEMBER ACCESS */

struct NpyIter_TransferInfo_tag {
    NPY_cast_info read;
    NPY_cast_info write;
    /* Probably unnecessary, but make sure what follows is intp aligned: */
    npy_intp _unused_ensure_alignment[];
};


            

Reported by FlawFinder.

              # re-enable this we can infer the exact return type of `np.sin(...)`.
#
# np.sin(1) + np.sin(1)
np.sin.types[0]
np.sin.__name__
np.sin.__doc__

np.abs(np.array([1]))

            

Reported by Pylint.

              #
# np.sin(1) + np.sin(1)
np.sin.types[0]
np.sin.__name__
np.sin.__doc__

np.abs(np.array([1]))

            

Reported by Pylint.

              # np.sin(1) + np.sin(1)
np.sin.types[0]
np.sin.__name__
np.sin.__doc__

np.abs(np.array([1]))

            

Reported by Pylint.

              import numpy as np

np.sin(1)
np.sin([1, 2, 3])
np.sin(1, out=np.empty(1))
np.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)])
np.sin(1, signature="D->D")
np.sin(1, extobj=[16, 1, lambda: None])
# NOTE: `np.generic` subclasses are not guaranteed to support addition;

            

Reported by Pylint.