import os
import pytest
import textwrap
from numpy.testing import assert_array_equal
import numpy as np
from . import util


def _path(*a):

            

Reported by Pylint.

              import textwrap
from numpy.testing import assert_array_equal
import numpy as np
from . import util


def _path(*a):
    return os.path.join(*((os.path.dirname(__file__),) + a))


            

Reported by Pylint.

              import os
import pytest
import textwrap
from numpy.testing import assert_array_equal
import numpy as np
from . import util


def _path(*a):

            

Reported by Pylint.

              import os
import pytest
import textwrap
from numpy.testing import assert_array_equal
import numpy as np
from . import util


def _path(*a):

            

Reported by Pylint.

                  return os.path.join(*((os.path.dirname(__file__),) + a))


class TestString(util.F2PyTest):
    sources = [_path('src', 'string', 'char.f90')]

    @pytest.mark.slow
    def test_char(self):
        strings = np.array(['ab', 'cd', 'ef'], dtype='c').T

            

Reported by Pylint.

                  return os.path.join(*((os.path.dirname(__file__),) + a))


class TestString(util.F2PyTest):
    sources = [_path('src', 'string', 'char.f90')]

    @pytest.mark.slow
    def test_char(self):
        strings = np.array(['ab', 'cd', 'ef'], dtype='c').T

            

Reported by Pylint.

                  sources = [_path('src', 'string', 'char.f90')]

    @pytest.mark.slow
    def test_char(self):
        strings = np.array(['ab', 'cd', 'ef'], dtype='c').T
        inp, out = self.module.char_test.change_strings(strings,
                                                        strings.shape[1])
        assert_array_equal(inp, strings)
        expected = strings.copy()

            

Reported by Pylint.

                      assert_array_equal(out, expected)


class TestDocStringArguments(util.F2PyTest):
    suffix = '.f'

    code = """
C FILE: STRING.F
      SUBROUTINE FOO(A,B,C,D)

            

Reported by Pylint.

                      assert_array_equal(out, expected)


class TestDocStringArguments(util.F2PyTest):
    suffix = '.f'

    code = """
C FILE: STRING.F
      SUBROUTINE FOO(A,B,C,D)

            

Reported by Pylint.

              C END OF FILE STRING.F
        """

    def test_example(self):
        a = np.array(b'123\0\0')
        b = np.array(b'123\0\0')
        c = np.array(b'123')
        d = np.array(b'123')


            

Reported by Pylint.

              import os
import pytest
import shutil
import subprocess
import sys
import warnings
import numpy as np

try:

            

Reported by Pylint.

                  assert so2 is not None
    # import the so's without adding the directory to sys.path
    from importlib.machinery import ExtensionFileLoader 
    extending = ExtensionFileLoader('extending', so1).load_module()
    extending_distributions = ExtensionFileLoader('extending_distributions', so2).load_module()

    # actually test the cython c-extension
    from numpy.random import PCG64
    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')

            

Reported by Pylint.

                  # import the so's without adding the directory to sys.path
    from importlib.machinery import ExtensionFileLoader 
    extending = ExtensionFileLoader('extending', so1).load_module()
    extending_distributions = ExtensionFileLoader('extending_distributions', so2).load_module()

    # actually test the cython c-extension
    from numpy.random import PCG64
    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')
    assert values.shape == (10,)

            

Reported by Pylint.

                  # not really part of this test, but it is a convenient place to check
    with open(build_dir / 'extending.c') as fid:
        txt_to_find = 'NumPy API declarations from "numpy/__init__.pxd"'
        for i, line in enumerate(fid):
            if txt_to_find in line:
                break
        else:
            assert False, ("Could not find '{}' in C file, "
                           "wrong pxd used".format(txt_to_find))

            

Reported by Pylint.

                  assert so2 is not None
    # import the so's without adding the directory to sys.path
    from importlib.machinery import ExtensionFileLoader 
    extending = ExtensionFileLoader('extending', so1).load_module()
    extending_distributions = ExtensionFileLoader('extending_distributions', so2).load_module()

    # actually test the cython c-extension
    from numpy.random import PCG64
    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')

            

Reported by Pylint.

                  assert so2 is not None
    # import the so's without adding the directory to sys.path
    from importlib.machinery import ExtensionFileLoader 
    extending = ExtensionFileLoader('extending', so1).load_module()
    extending_distributions = ExtensionFileLoader('extending_distributions', so2).load_module()

    # actually test the cython c-extension
    from numpy.random import PCG64
    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')

            

Reported by Pylint.

                  # import the so's without adding the directory to sys.path
    from importlib.machinery import ExtensionFileLoader 
    extending = ExtensionFileLoader('extending', so1).load_module()
    extending_distributions = ExtensionFileLoader('extending_distributions', so2).load_module()

    # actually test the cython c-extension
    from numpy.random import PCG64
    values = extending_distributions.uniforms_ex(PCG64(0), 10, 'd')
    assert values.shape == (10,)

            

Reported by Pylint.

              @pytest.mark.skipif(numba is None or cffi is None,
                    reason="requires numba and cffi")
def test_numba():
    from numpy.random._examples.numba import extending  # noqa: F401

@pytest.mark.skipif(cffi is None, reason="requires cffi")
def test_cffi():
    from numpy.random._examples.cffi import extending  # noqa: F401

            

Reported by Pylint.

              
@pytest.mark.skipif(cffi is None, reason="requires cffi")
def test_cffi():
    from numpy.random._examples.cffi import extending  # noqa: F401

            

Reported by Pylint.

              import os
import pytest
import shutil
import subprocess
import sys
import warnings
import numpy as np

try:

            

Reported by Pylint.

              is_standalone = __name__ == '__main__' and __package__ is None
if is_standalone:
    sys.path.append(path.abspath(path.join(path.dirname(__file__), "..")))
    from ccompiler_opt import CCompilerOpt
else:
    from numpy.distutils.ccompiler_opt import CCompilerOpt

arch_compilers = dict(
    x86 = ("gcc", "clang", "icc", "iccw", "msvc"),

            

Reported by Pylint.

              
class FakeCCompilerOpt(CCompilerOpt):
    fake_info = ("arch", "compiler", "extra_args")
    def __init__(self, *args, **kwargs):
        CCompilerOpt.__init__(self, None, **kwargs)
    def dist_compile(self, sources, flags, **kwargs):
        return sources
    def dist_info(self):
        return FakeCCompilerOpt.fake_info

            

Reported by Pylint.

                  fake_info = ("arch", "compiler", "extra_args")
    def __init__(self, *args, **kwargs):
        CCompilerOpt.__init__(self, None, **kwargs)
    def dist_compile(self, sources, flags, **kwargs):
        return sources
    def dist_info(self):
        return FakeCCompilerOpt.fake_info
    @staticmethod
    def dist_log(*args, stderr=False):

            

Reported by Pylint.

                  fake_info = ("arch", "compiler", "extra_args")
    def __init__(self, *args, **kwargs):
        CCompilerOpt.__init__(self, None, **kwargs)
    def dist_compile(self, sources, flags, **kwargs):
        return sources
    def dist_info(self):
        return FakeCCompilerOpt.fake_info
    @staticmethod
    def dist_log(*args, stderr=False):

            

Reported by Pylint.

                              continue
            raise AssertionError(error_msg + "implies non-exist feature '%s'" % impl)

    def test_group(self, error_msg, search_in, feature_name, feature_dict):
        if feature_dict.get("disabled") is not None:
            return
        group = feature_dict.get("group", "")
        if not group:
            return

            

Reported by Pylint.

                              "in option 'group', '%s' already exists as a feature name" % f
            )

    def test_extra_checks(self, error_msg, search_in, feature_name, feature_dict):
        if feature_dict.get("disabled") is not None:
            return
        extra_checks = feature_dict.get("extra_checks", "")
        if not extra_checks:
            return

            

Reported by Pylint.

              import unittest
from os import sys, path

is_standalone = __name__ == '__main__' and __package__ is None
if is_standalone:
    sys.path.append(path.abspath(path.join(path.dirname(__file__), "..")))
    from ccompiler_opt import CCompilerOpt
else:
    from numpy.distutils.ccompiler_opt import CCompilerOpt

            

Reported by Pylint.

                  narch = ("gcc",)
)

class FakeCCompilerOpt(CCompilerOpt):
    fake_info = ("arch", "compiler", "extra_args")
    def __init__(self, *args, **kwargs):
        CCompilerOpt.__init__(self, None, **kwargs)
    def dist_compile(self, sources, flags, **kwargs):
        return sources

            

Reported by Pylint.

                  narch = ("gcc",)
)

class FakeCCompilerOpt(CCompilerOpt):
    fake_info = ("arch", "compiler", "extra_args")
    def __init__(self, *args, **kwargs):
        CCompilerOpt.__init__(self, None, **kwargs)
    def dist_compile(self, sources, flags, **kwargs):
        return sources

            

Reported by Pylint.

                  def dist_log(*args, stderr=False):
        pass

class _TestConfFeatures(FakeCCompilerOpt):
    """A hook to check the sanity of configured features
-   before it called by the abstract class '_Feature'
    """

    def conf_features_partial(self):

            

Reported by Pylint.

                      Py_XDECREF(dst_ref);
        /* Move the reference */
        NPY_DT_DBG_REFTRACE("move src ref", src_ref);
        memcpy(dst, &src_ref, sizeof(src_ref));
        /* Set the source reference to NULL */
        src_ref = NULL;
        memcpy(src, &src_ref, sizeof(src_ref));

        src += src_stride;

            

Reported by FlawFinder.

                      memcpy(dst, &src_ref, sizeof(src_ref));
        /* Set the source reference to NULL */
        src_ref = NULL;
        memcpy(src, &src_ref, sizeof(src_ref));

        src += src_stride;
        dst += dst_stride;
        --N;
    }

            

Reported by FlawFinder.

              
        /* Copy the reference */
        NPY_DT_DBG_REFTRACE("copy src ref", src_ref);
        memcpy(dst, &src_ref, sizeof(src_ref));
        /* Claim the reference */
        Py_XINCREF(src_ref);
        /* Release the reference in dst */
        NPY_DT_DBG_REFTRACE("dec dst ref", dst_ref);
        Py_XDECREF(dst_ref);

            

Reported by FlawFinder.

                      memcpy(&dst_ref, dst, sizeof(dst_ref));
        Py_XDECREF(dst_ref);
        dst_ref = data->getitem(src, &data->arr_fields);
        memcpy(dst, &dst_ref, sizeof(PyObject *));

        if (dst_ref == NULL) {
            return -1;
        }
        src += src_stride;

            

Reported by FlawFinder.

                  if (res == NULL) {
        return NULL;
    }
    memcpy(res, data, sizeof(*res));
    Py_INCREF(res->descr);
    return (NpyAuxData *)res;
}



            

Reported by FlawFinder.

                  npy_intp zero_size = dst_itemsize-src_itemsize;

    while (N > 0) {
        memcpy(dst, src, src_itemsize);
        memset(dst + src_itemsize, 0, zero_size);
        src += src_stride;
        dst += dst_stride;
        --N;
    }

            

Reported by FlawFinder.

                  npy_intp dst_itemsize = context->descriptors[1]->elsize;

    while (N > 0) {
        memcpy(dst, src, dst_itemsize);
        src += src_stride;
        dst += dst_stride;
        --N;
    }
    return 0;

            

Reported by FlawFinder.

                  int i;

    while (N > 0) {
        memcpy(dst, src, copy_size);
        if (zero_size > 0) {
            memset(dst + src_itemsize, 0, zero_size);
        }
        _dst = dst;
        for (i=0; i < characters; i++) {

            

Reported by FlawFinder.

                      return NULL;
    }

    memcpy(newdata, data, sizeof(_wrap_copy_swap_data));
    Py_INCREF(newdata->arr);

    return (NpyAuxData *)newdata;
}


            

Reported by FlawFinder.

                      return NULL;
    }

    memcpy(newdata, data, sizeof(_strided_cast_data));
    Py_INCREF(newdata->aip);
    Py_INCREF(newdata->aop);

    return (NpyAuxData *)newdata;
}

            

Reported by FlawFinder.

                  str_,
    bytes_,
)
from . import _HAS_TYPING_EXTENSIONS

if sys.version_info >= (3, 8):
    from typing import Protocol
elif _HAS_TYPING_EXTENSIONS:
    from typing_extensions import Protocol

            

Reported by Pylint.

              if sys.version_info >= (3, 8):
    from typing import Protocol
elif _HAS_TYPING_EXTENSIONS:
    from typing_extensions import Protocol

_T = TypeVar("_T")
_ScalarType = TypeVar("_ScalarType", bound=generic)
_DType = TypeVar("_DType", bound="dtype[Any]")
_DType_co = TypeVar("_DType_co", covariant=True, bound="dtype[Any]")

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              
import sys
from typing import Any, Sequence, TYPE_CHECKING, Union, TypeVar, Generic
from numpy import (
    ndarray,
    dtype,
    generic,
    bool_,
    unsignedinteger,

            

Reported by Pylint.

              import os
import pytest

import numpy as np
from numpy.testing import assert_raises, assert_equal

from . import util



            

Reported by Pylint.

              import numpy as np
from numpy.testing import assert_raises, assert_equal

from . import util


def _path(*a):
    return os.path.join(*((os.path.dirname(__file__),) + a))


            

Reported by Pylint.

              import os
import pytest

import numpy as np
from numpy.testing import assert_raises, assert_equal

from . import util



            

Reported by Pylint.

                  return os.path.join(*((os.path.dirname(__file__),) + a))


class TestParameters(util.F2PyTest):
    # Check that intent(in out) translates as intent(inout)
    sources = [_path('src', 'parameter', 'constant_real.f90'),
               _path('src', 'parameter', 'constant_integer.f90'),
               _path('src', 'parameter', 'constant_both.f90'),
               _path('src', 'parameter', 'constant_compound.f90'),

            

Reported by Pylint.

                  ]

    @pytest.mark.slow
    def test_constant_real_single(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float32)[::2]
        assert_raises(ValueError, self.module.foo_single, x)

        # check values with contiguous array

            

Reported by Pylint.

                  @pytest.mark.slow
    def test_constant_real_single(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float32)[::2]
        assert_raises(ValueError, self.module.foo_single, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float32)
        self.module.foo_single(x)

            

Reported by Pylint.

                      assert_raises(ValueError, self.module.foo_single, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float32)
        self.module.foo_single(x)
        assert_equal(x, [0 + 1 + 2*3, 1, 2])

    @pytest.mark.slow
    def test_constant_real_double(self):

            

Reported by Pylint.

                      assert_equal(x, [0 + 1 + 2*3, 1, 2])

    @pytest.mark.slow
    def test_constant_real_double(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        assert_raises(ValueError, self.module.foo_double, x)

        # check values with contiguous array

            

Reported by Pylint.

                  @pytest.mark.slow
    def test_constant_real_double(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        assert_raises(ValueError, self.module.foo_double, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo_double(x)

            

Reported by Pylint.

                      assert_raises(ValueError, self.module.foo_double, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo_double(x)
        assert_equal(x, [0 + 1 + 2*3, 1, 2])

    @pytest.mark.slow
    def test_constant_compound_int(self):

            

Reported by Pylint.

                              res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                if isinstance(obj, MyArray):
                    obj.metadata = self.metadata
                return obj

            def __array_finalize__(self, obj):

            

Reported by Pylint.

                              res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                if isinstance(obj, MyArray):
                    obj.metadata = self.metadata
                return obj

            def __array_finalize__(self, obj):

            

Reported by Pylint.

                              return obj

            def __array_finalize__(self, obj):
                self.metadata = getattr(obj, 'metadata', None)
                return self

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)

            

Reported by Pylint.

                      m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'

            

Reported by Pylint.

                      m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar')

    def test_deprecated(self):
        # NumPy 1.13.0, 2017-04-26
        assert_warns(DeprecationWarning, ufl.fix, [1, 2], y=nx.empty(2))

            

Reported by Pylint.

              
        out = np.array(0.0)
        actual = np.fix(x, out=out)
        assert_(actual is out)

            

Reported by Pylint.

              import numpy as np
import numpy.core as nx
import numpy.lib.ufunclike as ufl
from numpy.testing import (
    assert_, assert_equal, assert_array_equal, assert_warns, assert_raises
)


class TestUfunclike:

            

Reported by Pylint.

              )


class TestUfunclike:

    def test_isposinf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([True, False, False, False, False, False])

            

Reported by Pylint.

              
class TestUfunclike:

    def test_isposinf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([True, False, False, False, False, False])

        res = ufl.isposinf(a)

            

Reported by Pylint.

              
class TestUfunclike:

    def test_isposinf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([True, False, False, False, False, False])

        res = ufl.isposinf(a)

            

Reported by Pylint.

              class Write:
    def write(self, value: str) -> None: ...

reveal_type(np.seterr(all=None))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(divide="ignore"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

            

Reported by Pylint.

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

reveal_type(np.seterr(all=None))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(divide="ignore"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'


            

Reported by Pylint.

              
reveal_type(np.seterr(all=None))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(divide="ignore"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int

            

Reported by Pylint.

              reveal_type(np.seterr(all=None))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(divide="ignore"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int

            

Reported by Pylint.

              reveal_type(np.seterr(divide="ignore"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int


            

Reported by Pylint.

              reveal_type(np.seterr(over="warn"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(under="call"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int

reveal_type(np.seterrcall(func))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]

            

Reported by Pylint.

              reveal_type(np.seterr(invalid="raise"))  # E: TypedDict('numpy.core._ufunc_config._ErrDict'
reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int

reveal_type(np.seterrcall(func))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.seterrcall(Write()))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.geterrcall())  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]

            

Reported by Pylint.

              reveal_type(np.geterr())  # E: TypedDict('numpy.core._ufunc_config._ErrDict'

reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int

reveal_type(np.seterrcall(func))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.seterrcall(Write()))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.geterrcall())  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]


            

Reported by Pylint.

              reveal_type(np.setbufsize(4096))  # E: int
reveal_type(np.getbufsize())  # E: int

reveal_type(np.seterrcall(func))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.seterrcall(Write()))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.geterrcall())  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]

reveal_type(np.errstate(call=func, all="call"))  # E: numpy.errstate[def (a: builtins.str, b: builtins.int)]
reveal_type(np.errstate(call=Write(), divide="log", over="log"))  # E: numpy.errstate[ufunc_config.Write]

            

Reported by Pylint.

              reveal_type(np.getbufsize())  # E: int

reveal_type(np.seterrcall(func))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.seterrcall(Write()))  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]
reveal_type(np.geterrcall())  # E: Union[None, def (builtins.str, builtins.int) -> Any, numpy.core._ufunc_config._SupportsWrite]

reveal_type(np.errstate(call=func, all="call"))  # E: numpy.errstate[def (a: builtins.str, b: builtins.int)]
reveal_type(np.errstate(call=Write(), divide="log", over="log"))  # E: numpy.errstate[ufunc_config.Write]

            

Reported by Pylint.

                  def test_gpaths(self):
        local_path = minrelpath(join(dirname(__file__), '..'))
        ls = gpaths('command/*.py', local_path)
        assert_(join(local_path, 'command', 'build_src.py') in ls, repr(ls))
        f = gpaths('system_info.py', local_path)
        assert_(join(local_path, 'system_info.py') == f[0], repr(f))

class TestSharedExtension:


            

Reported by Pylint.

                      ls = gpaths('command/*.py', local_path)
        assert_(join(local_path, 'command', 'build_src.py') in ls, repr(ls))
        f = gpaths('system_info.py', local_path)
        assert_(join(local_path, 'system_info.py') == f[0], repr(f))

class TestSharedExtension:

    def test_get_shared_lib_extension(self):
        import sys

            

Reported by Pylint.

                      elif sys.platform.startswith('win'):
            assert_equal(ext, '.dll')
        # just check for no crash
        assert_(get_shared_lib_extension(is_python_ext=True))


def test_installed_npymath_ini():
    # Regression test for gh-7707.  If npymath.ini wasn't installed, then this
    # will give an error.

            

Reported by Pylint.

              from os.path import join, sep, dirname

from numpy.distutils.misc_util import (
    appendpath, minrelpath, gpaths, get_shared_lib_extension, get_info
    )
from numpy.testing import (
    assert_, assert_equal
    )


            

Reported by Pylint.

              
ajoin = lambda *paths: join(*((sep,)+paths))

class TestAppendpath:

    def test_1(self):
        assert_equal(appendpath('prefix', 'name'), join('prefix', 'name'))
        assert_equal(appendpath('/prefix', 'name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))

            

Reported by Pylint.

              
class TestAppendpath:

    def test_1(self):
        assert_equal(appendpath('prefix', 'name'), join('prefix', 'name'))
        assert_equal(appendpath('/prefix', 'name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('prefix', '/name'), join('prefix', 'name'))


            

Reported by Pylint.

              
class TestAppendpath:

    def test_1(self):
        assert_equal(appendpath('prefix', 'name'), join('prefix', 'name'))
        assert_equal(appendpath('/prefix', 'name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('prefix', '/name'), join('prefix', 'name'))


            

Reported by Pylint.

                      assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('prefix', '/name'), join('prefix', 'name'))

    def test_2(self):
        assert_equal(appendpath('prefix/sub', 'name'),
                     join('prefix', 'sub', 'name'))
        assert_equal(appendpath('prefix/sub', 'sup/name'),
                     join('prefix', 'sub', 'sup', 'name'))
        assert_equal(appendpath('/prefix/sub', '/prefix/name'),

            

Reported by Pylint.

                      assert_equal(appendpath('/prefix', '/name'), ajoin('prefix', 'name'))
        assert_equal(appendpath('prefix', '/name'), join('prefix', 'name'))

    def test_2(self):
        assert_equal(appendpath('prefix/sub', 'name'),
                     join('prefix', 'sub', 'name'))
        assert_equal(appendpath('prefix/sub', 'sup/name'),
                     join('prefix', 'sub', 'sup', 'name'))
        assert_equal(appendpath('/prefix/sub', '/prefix/name'),

            

Reported by Pylint.

                      assert_equal(appendpath('/prefix/sub', '/prefix/name'),
                     ajoin('prefix', 'sub', 'name'))

    def test_3(self):
        assert_equal(appendpath('/prefix/sub', '/prefix/sup/name'),
                     ajoin('prefix', 'sub', 'sup', 'name'))
        assert_equal(appendpath('/prefix/sub/sub2', '/prefix/sup/sup2/name'),
                     ajoin('prefix', 'sub', 'sub2', 'sup', 'sup2', 'name'))
        assert_equal(appendpath('/prefix/sub/sub2', '/prefix/sub/sup/name'),

            

Reported by Pylint.

              AR_LIKE_c: List[complex]
AR_LIKE_U: List[str]

OUT_f: np.ndarray[Any, np.dtype[np.float64]]

reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any

            

Reported by Pylint.

              
OUT_f: np.ndarray[Any, np.dtype[np.float64]]

reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any

            

Reported by Pylint.

              OUT_f: np.ndarray[Any, np.dtype[np.float64]]

reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

            

Reported by Pylint.

              
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any


            

Reported by Pylint.

              reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]

            

Reported by Pylint.

              reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]

            

Reported by Pylint.

              reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16"))  # E: Any

            

Reported by Pylint.

              reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16"))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe"))  # E: Any

            

Reported by Pylint.

              reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i))  # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16"))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe"))  # E: Any

reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Tuple[builtins.list[Any], builtins.str]

            

Reported by Pylint.

              reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c))  # E: Any

reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f))  # E: numpy.ndarray[Any, numpy.dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16"))  # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe"))  # E: Any

reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b))  # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u))  # E: Tuple[builtins.list[Any], builtins.str]

            

Reported by Pylint.