nd1.reshape(4, order="C")

# resize
nd1.resize()
nd1.resize(4)
nd1.resize(2, 2)
nd1.resize((2, 2))

nd1.resize((2, 2), refcheck=True)

            

Reported by Pylint.

              import numpy as np

nd1 = np.array([[1, 2], [3, 4]])

# reshape
nd1.reshape(4)
nd1.reshape(2, 2)
nd1.reshape((2, 2))


            

Reported by Pylint.

                  __divmod__ = _binary_method(um.divmod, 'divmod')
    __rdivmod__ = _reflected_binary_method(um.divmod, 'divmod')
    # __idivmod__ does not exist
    # TODO: handle the optional third argument for __pow__?
    __pow__, __rpow__, __ipow__ = _numeric_methods(um.power, 'pow')
    __lshift__, __rlshift__, __ilshift__ = _numeric_methods(
        um.left_shift, 'lshift')
    __rshift__, __rrshift__, __irshift__ = _numeric_methods(
        um.right_shift, 'rshift')

            

Reported by Pylint.

                  return func


class NDArrayOperatorsMixin:
    """Mixin defining all operator special methods using __array_ufunc__.

    This class implements the special methods for almost all of Python's
    builtin operators defined in the `operator` module, including comparisons
    (``==``, ``>``, etc.) and arithmetic (``+``, ``*``, ``-``, etc.), by

            

Reported by Pylint.

              from functools import partial
from typing import Callable, List, Tuple

import pytest  # type: ignore
import numpy as np

AR = np.array(0)
AR.setflags(write=False)


            

Reported by Pylint.

              from functools import partial
from typing import Callable, List, Tuple

import pytest  # type: ignore
import numpy as np

AR = np.array(0)
AR.setflags(write=False)


            

Reported by Pylint.

              array = np.array([1, 2])

# The @ operator is not in python 2
array @ array

            

Reported by Pylint.

              import numpy as np

array = np.array([1, 2])

# The @ operator is not in python 2
array @ array

            

Reported by Pylint.

              from numpy.version import version

            

Reported by Pylint.

              from numpy.version import version

            

Reported by Pylint.

              
    if (PyCapsule_CheckExact(promoter)) {
        /* We could also go the other way and wrap up the python function... */
        promoter_function *promoter_function = PyCapsule_GetPointer(promoter,
                "numpy._ufunc_promoter");
        if (promoter_function == NULL) {
            return NULL;
        }
        promoter_result = promoter_function(ufunc,

            

Reported by Cppcheck.

              from typing import List
import numpy as np

class SubClass(np.ndarray):
    ...

i8 = np.int64(1)

A = np.arange(27).reshape(3, 3, 3)

            

Reported by Pylint.

              import os
import tempfile

import numpy as np

nd = np.array([[1, 2], [3, 4]])
scalar_array = np.array(1)

# item

            

Reported by Pylint.

              import numpy as np

AR = np.arange(10)
AR.setflags(write=False)

with np.printoptions():
    np.set_printoptions(
        precision=1,
        threshold=2,

            

Reported by Pylint.

              
a = np.bool_(True)
b = np.float32(1.0)
c = 1.0
d = np.array(1.0, dtype=np.float32)  # writeable

np.take(a, 0)
np.take(b, 0)
np.take(c, 0)

            

Reported by Pylint.