arrayflags_getitem(PyArrayFlagsObject *self, PyObject *ind)
{
    char *key = NULL;
    char buf[16];
    int n;
    if (PyUnicode_Check(ind)) {
        PyObject *tmp_str;
        tmp_str = PyUnicode_AsASCIIString(ind);
        if (tmp_str == NULL) {

            

Reported by FlawFinder.

                          Py_DECREF(tmp_str);
            goto fail;
        }
        memcpy(buf, key, n);
        Py_DECREF(tmp_str);
        key = buf;
    }
    else if (PyBytes_Check(ind)) {
        key = PyBytes_AS_STRING(ind);

            

Reported by FlawFinder.

              arrayflags_setitem(PyArrayFlagsObject *self, PyObject *ind, PyObject *item)
{
    char *key;
    char buf[16];
    int n;
    if (PyUnicode_Check(ind)) {
        PyObject *tmp_str;
        tmp_str = PyUnicode_AsASCIIString(ind);
        key = PyBytes_AS_STRING(tmp_str);

            

Reported by FlawFinder.

                      key = PyBytes_AS_STRING(tmp_str);
        n = PyBytes_GET_SIZE(tmp_str);
        if (n > 16) n = 16;
        memcpy(buf, key, n);
        Py_DECREF(tmp_str);
        key = buf;
    }
    else if (PyBytes_Check(ind)) {
        key = PyBytes_AS_STRING(ind);

            

Reported by FlawFinder.

              np.reshape(A, 1, order="bob")  # E: Argument "order" to "reshape" has incompatible type

np.choose(a, None)  # E: incompatible type
np.choose(a, out=1.0)  # E: incompatible type
np.choose(A, mode="bob")  # E: incompatible type

np.repeat(a, None)  # E: Argument 2 to "repeat" has incompatible type
np.repeat(A, 1, axis=1.0)  # E: Argument "axis" to "repeat" has incompatible type


            

Reported by Pylint.

              
np.choose(a, None)  # E: incompatible type
np.choose(a, out=1.0)  # E: incompatible type
np.choose(A, mode="bob")  # E: incompatible type

np.repeat(a, None)  # E: Argument 2 to "repeat" has incompatible type
np.repeat(A, 1, axis=1.0)  # E: Argument "axis" to "repeat" has incompatible type

np.swapaxes(A, None, 1)  # E: Argument 2 to "swapaxes" has incompatible type

            

Reported by Pylint.

              np.argsort(A, order=range(5))  # E: Argument "order" to "argsort" has incompatible type

np.argmax(A, axis="bob")  # E: No overload variant of "argmax" matches argument type
np.argmax(A, kind="bob")  # E: No overload variant of "argmax" matches argument type

np.argmin(A, axis="bob")  # E: No overload variant of "argmin" matches argument type
np.argmin(A, kind="bob")  # E: No overload variant of "argmin" matches argument type

np.searchsorted(  # E: No overload variant of "searchsorted" matches argument type

            

Reported by Pylint.

              np.argmax(A, kind="bob")  # E: No overload variant of "argmax" matches argument type

np.argmin(A, axis="bob")  # E: No overload variant of "argmin" matches argument type
np.argmin(A, kind="bob")  # E: No overload variant of "argmin" matches argument type

np.searchsorted(  # E: No overload variant of "searchsorted" matches argument type
    A[0], 0, side="bob"
)
np.searchsorted(  # E: No overload variant of "searchsorted" matches argument type

            

Reported by Pylint.

              """
from . import _inspect
from . import py3k
from ._inspect import getargspec, formatargspec
from .py3k import *

__all__ = []
__all__.extend(_inspect.__all__)
__all__.extend(py3k.__all__)

            

Reported by Pylint.

              from . import _inspect
from . import py3k
from ._inspect import getargspec, formatargspec
from .py3k import *

__all__ = []
__all__.extend(_inspect.__all__)
__all__.extend(py3k.__all__)

            

Reported by Pylint.

                * we may only need a small subset of the copied library/module

"""
from . import _inspect
from . import py3k
from ._inspect import getargspec, formatargspec
from .py3k import *

__all__ = []

            

Reported by Pylint.

              
"""
from . import _inspect
from . import py3k
from ._inspect import getargspec, formatargspec
from .py3k import *

__all__ = []
__all__.extend(_inspect.__all__)

            

Reported by Pylint.

                      for (i = 0; i < curr_idx; i++) {
            if ((indices[i].type == HAS_FANCY) && indices[i].value > 0) {
                if (indices[i].value != PyArray_DIM(self, used_ndim)) {
                    char err_msg[174];

                    PyOS_snprintf(err_msg, sizeof(err_msg),
                        "boolean index did not match indexed array along "
                        "dimension %d; dimension is %" NPY_INTP_FMT
                        " but corresponding boolean dimension is %" NPY_INTP_FMT,

            

Reported by FlawFinder.

                              /* Process unmasked values */
                bmask_data = npy_memchr(bmask_data, 0, bmask_stride, innersize,
                                        &subloopsize, 0);
                char *args[2] = {self_data, ret_data};
                res = cast_info.func(&cast_info.context,
                        args, &subloopsize, strides, cast_info.auxdata);
                if (res < 0) {
                    break;
                }

            

Reported by FlawFinder.

                              bmask_data = npy_memchr(bmask_data, 0, bmask_stride, innersize,
                                        &subloopsize, 0);

                char *args[2] = {v_data, self_data};
                res = cast_info.func(&cast_info.context,
                        args, &subloopsize, strides, cast_info.auxdata);
                if (res < 0) {
                    break;
                }

            

Reported by FlawFinder.

              PyArray_MapIterReset(PyArrayMapIterObject *mit)
{
    npy_intp indval;
    char *baseptrs[2];
    int i;

    if (mit->size == 0) {
        return;
    }

            

Reported by FlawFinder.

              # XXX: Handle setuptools ?
from distutils.core import Distribution

# This class is used because we add new files (sconscripts, and so on) with the
# scons command
class NumpyDistribution(Distribution):
    def __init__(self, attrs = None):
        # A list of (sconscripts, pre_hook, post_hook, src, parent_names)
        self.scons_data = []

            

Reported by Pylint.

              # XXX: Handle setuptools ?
from distutils.core import Distribution

# This class is used because we add new files (sconscripts, and so on) with the
# scons command
class NumpyDistribution(Distribution):
    def __init__(self, attrs = None):
        # A list of (sconscripts, pre_hook, post_hook, src, parent_names)
        self.scons_data = []

            

Reported by Pylint.

              
# This class is used because we add new files (sconscripts, and so on) with the
# scons command
class NumpyDistribution(Distribution):
    def __init__(self, attrs = None):
        # A list of (sconscripts, pre_hook, post_hook, src, parent_names)
        self.scons_data = []
        # A list of installable libraries
        self.installed_libraries = []

            

Reported by Pylint.

                      self.installed_pkg_config = {}
        Distribution.__init__(self, attrs)

    def has_scons_scripts(self):
        return bool(self.scons_data)

            

Reported by Pylint.

              AR_LIKE_c = [1j, 2j, 3j]
AR_LIKE_U = ["1", "2", "3"]

OUT_f: np.ndarray[Any, np.dtype[np.float64]] = np.empty(3, dtype=np.float64)
OUT_c: np.ndarray[Any, np.dtype[np.complex128]] = np.empty(3, dtype=np.complex128)

np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)
np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)
np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)

            

Reported by Pylint.

              AR_LIKE_U = ["1", "2", "3"]

OUT_f: np.ndarray[Any, np.dtype[np.float64]] = np.empty(3, dtype=np.float64)
OUT_c: np.ndarray[Any, np.dtype[np.complex128]] = np.empty(3, dtype=np.complex128)

np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)
np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)
np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)
np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)

            

Reported by Pylint.

              from __future__ import annotations

from typing import List, Any

import numpy as np

AR_LIKE_b = [True, True, True]
AR_LIKE_u = [np.uint32(1), np.uint32(2), np.uint32(3)]
AR_LIKE_i = [1, 2, 3]

            

Reported by Pylint.

              from __future__ import annotations

from typing import List, Any

import numpy as np

AR_LIKE_b = [True, True, True]
AR_LIKE_u = [np.uint32(1), np.uint32(2), np.uint32(3)]
AR_LIKE_i = [1, 2, 3]

            

Reported by Pylint.

              #if NPY_EINSUM_DBG_TRACING
#include <cstdio>
#define NPY_EINSUM_DBG_PRINT(s) printf("%s", s);
#define NPY_EINSUM_DBG_PRINT1(s, p1) printf(s, p1);
#define NPY_EINSUM_DBG_PRINT2(s, p1, p2) printf(s, p1, p2);
#define NPY_EINSUM_DBG_PRINT3(s, p1, p2, p3) printf(s);
#else
#define NPY_EINSUM_DBG_PRINT(s)
#define NPY_EINSUM_DBG_PRINT1(s, p1)

            

Reported by FlawFinder.

              #include <cstdio>
#define NPY_EINSUM_DBG_PRINT(s) printf("%s", s);
#define NPY_EINSUM_DBG_PRINT1(s, p1) printf(s, p1);
#define NPY_EINSUM_DBG_PRINT2(s, p1, p2) printf(s, p1, p2);
#define NPY_EINSUM_DBG_PRINT3(s, p1, p2, p3) printf(s);
#else
#define NPY_EINSUM_DBG_PRINT(s)
#define NPY_EINSUM_DBG_PRINT1(s, p1)
#define NPY_EINSUM_DBG_PRINT2(s, p1, p2)

            

Reported by FlawFinder.

              #define NPY_EINSUM_DBG_PRINT(s) printf("%s", s);
#define NPY_EINSUM_DBG_PRINT1(s, p1) printf(s, p1);
#define NPY_EINSUM_DBG_PRINT2(s, p1, p2) printf(s, p1, p2);
#define NPY_EINSUM_DBG_PRINT3(s, p1, p2, p3) printf(s);
#else
#define NPY_EINSUM_DBG_PRINT(s)
#define NPY_EINSUM_DBG_PRINT1(s, p1)
#define NPY_EINSUM_DBG_PRINT2(s, p1, p2)
#define NPY_EINSUM_DBG_PRINT3(s, p1, p2, p3)

            

Reported by FlawFinder.

                  PyArray_Descr **dtypes;
    PyArrayObject **operands;
    npy_intp *innerstrides, *innerloopsizeptr;
    char readflags[NPY_MAXARGS];
    char writeflags[NPY_MAXARGS];
};

static int npyiter_cache_values(NewNpyArrayIterObject *self)
{

            

Reported by FlawFinder.

                  PyArrayObject **operands;
    npy_intp *innerstrides, *innerloopsizeptr;
    char readflags[NPY_MAXARGS];
    char writeflags[NPY_MAXARGS];
};

static int npyiter_cache_values(NewNpyArrayIterObject *self)
{
    NpyIter *iter = self->iter;

            

Reported by FlawFinder.

                  int *nested_op_axes[NPY_MAXDIMS];
    int nested_naxes[NPY_MAXDIMS], iaxes, naxes;
    int negones[NPY_MAXDIMS];
    char used_axes[NPY_MAXDIMS];
    int buffersize = 0;

    PyObject *ret = NULL;

    if (!PyArg_ParseTupleAndKeywords(args, kwds, "OO|O&OOO&O&i", kwlist,

            

Reported by FlawFinder.

              import os
from distutils.msvccompiler import MSVCCompiler as _MSVCCompiler

from .system_info import platform_bits


def _merge(old, new):
    """Concatenate two environment paths avoiding repeats.


            

Reported by Pylint.

              import os
from distutils.msvccompiler import MSVCCompiler as _MSVCCompiler

from .system_info import platform_bits


def _merge(old, new):
    """Concatenate two environment paths avoiding repeats.


            

Reported by Pylint.

                  return ';'.join([old, new])


class MSVCCompiler(_MSVCCompiler):
    def __init__(self, verbose=0, dry_run=0, force=0):
        _MSVCCompiler.__init__(self, verbose, dry_run, force)

    def initialize(self):
        # The 'lib' and 'include' variables may be overwritten

            

Reported by Pylint.

                      res = PyObject_CallFunctionObjArgs(deepcopy, itemp, visit, NULL);
        Py_XDECREF(itemp);
        Py_XDECREF(otemp);
        memcpy(optr, &res, sizeof(res));
    }

}



            

Reported by FlawFinder.

                      }
        fa->strides = PyArray_DIMS(self) + nd;
        if (nd) {
            memcpy(PyArray_DIMS(self), dimensions, sizeof(npy_intp)*nd);
        }
        _array_fill_strides(PyArray_STRIDES(self), dimensions, nd,
                               PyArray_DESCR(self)->elsize,
                               (is_f_order ? NPY_ARRAY_F_CONTIGUOUS :
                                             NPY_ARRAY_C_CONTIGUOUS),

            

Reported by FlawFinder.

                              Py_DECREF(typecode);
            }
            else {
                memcpy(PyArray_DATA(self), datastr, num);
            }
            PyArray_ENABLEFLAGS(self, NPY_ARRAY_OWNDATA);
            fa->base = NULL;
            Py_DECREF(rawdata);
        }

            

Reported by FlawFinder.