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/opt/imh-python/lib/python3.9/site-packages/numpy/core/

/opt/imh-python/lib/python3.9/site-packages/numpy/core

Name	Size	Mode	Actions
include/	-	0755	rm
lib/	-	0755	rm
tests/	-	0755	rm
__pycache__/	-	0755	rm
arrayprint.py	63608	0644	edit dl rm
arrayprint.pyi	4428	0644	edit dl rm
cversions.py	347	0644	edit dl rm
defchararray.py	73617	0644	edit dl rm
defchararray.pyi	9216	0644	edit dl rm
einsumfunc.py	51868	0644	edit dl rm
einsumfunc.pyi	4860	0644	edit dl rm
fromnumeric.py	128821	0644	edit dl rm
fromnumeric.pyi	23726	0644	edit dl rm
function_base.py	19836	0644	edit dl rm
function_base.pyi	4725	0644	edit dl rm
getlimits.py	25865	0644	edit dl rm
getlimits.pyi	82	0644	edit dl rm
memmap.py	11771	0644	edit dl rm
memmap.pyi	55	0644	edit dl rm
multiarray.py	56097	0644	edit dl rm
multiarray.pyi	24768	0644	edit dl rm
numeric.py	77014	0644	edit dl rm
numeric.pyi	14315	0644	edit dl rm
numerictypes.py	18098	0644	edit dl rm
numerictypes.pyi	3267	0644	edit dl rm
overrides.py	7093	0644	edit dl rm
records.py	37533	0644	edit dl rm
records.pyi	5692	0644	edit dl rm
shape_base.py	29743	0644	edit dl rm
shape_base.pyi	2774	0644	edit dl rm
umath.py	2040	0644	edit dl rm
umath_tests.py	389	0644	edit dl rm
_add_newdocs.py	208972	0644	edit dl rm
_add_newdocs_scalars.py	12106	0644	edit dl rm
_asarray.py	3884	0644	edit dl rm
_asarray.pyi	1086	0644	edit dl rm
_dtype.py	10606	0644	edit dl rm
_dtype_ctypes.py	3673	0644	edit dl rm
_exceptions.py	5379	0644	edit dl rm
_internal.py	28348	0644	edit dl rm
_internal.pyi	1032	0644	edit dl rm
_machar.py	11565	0644	edit dl rm
_methods.py	8613	0644	edit dl rm
_multiarray_tests.cpython-39-x86_64-linux-gnu.so	151008	0755	edit dl rm
_multiarray_umath.cpython-39-x86_64-linux-gnu.so	7382112	0755	edit dl rm
_operand_flag_tests.cpython-39-x86_64-linux-gnu.so	16728	0755	edit dl rm
_rational_tests.cpython-39-x86_64-linux-gnu.so	59640	0755	edit dl rm
_simd.cpython-39-x86_64-linux-gnu.so	3526664	0755	edit dl rm
_string_helpers.py	2852	0644	edit dl rm
_struct_ufunc_tests.cpython-39-x86_64-linux-gnu.so	16832	0755	edit dl rm
_type_aliases.py	7534	0644	edit dl rm
_type_aliases.pyi	404	0644	edit dl rm
_ufunc_config.py	13944	0644	edit dl rm
_ufunc_config.pyi	1066	0644	edit dl rm
_umath_tests.cpython-39-x86_64-linux-gnu.so	42008	0755	edit dl rm
__init__.py	5780	0644	edit dl rm
__init__.pyi	126	0644	edit dl rm

Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/core/_asarray.py (3884B)

"""
Functions in the ``as*array`` family that promote array-likes into arrays.

`require` fits this category despite its name not matching this pattern.
"""
from .overrides import (
    array_function_dispatch,
    set_array_function_like_doc,
    set_module,
)
from .multiarray import array, asanyarray

__all__ = ["require"]

POSSIBLE_FLAGS = {
    'C': 'C', 'C_CONTIGUOUS': 'C', 'CONTIGUOUS': 'C',
    'F': 'F', 'F_CONTIGUOUS': 'F', 'FORTRAN': 'F',
    'A': 'A', 'ALIGNED': 'A',
    'W': 'W', 'WRITEABLE': 'W',
    'O': 'O', 'OWNDATA': 'O',
    'E': 'E', 'ENSUREARRAY': 'E'
}

@set_array_function_like_doc
@set_module('numpy')
def require(a, dtype=None, requirements=None, *, like=None):
    """
    Return an ndarray of the provided type that satisfies requirements.

This function is useful to be sure that an array with the correct flags
    is returned for passing to compiled code (perhaps through ctypes).

Parameters
    ----------
    a : array_like
       The object to be converted to a type-and-requirement-satisfying array.
    dtype : data-type
       The required data-type. If None preserve the current dtype. If your
       application requires the data to be in native byteorder, include
       a byteorder specification as a part of the dtype specification.
    requirements : str or sequence of str
       The requirements list can be any of the following

* 'F_CONTIGUOUS' ('F') - ensure a Fortran-contiguous array
       * 'C_CONTIGUOUS' ('C') - ensure a C-contiguous array
       * 'ALIGNED' ('A')      - ensure a data-type aligned array
       * 'WRITEABLE' ('W')    - ensure a writable array
       * 'OWNDATA' ('O')      - ensure an array that owns its own data
       * 'ENSUREARRAY', ('E') - ensure a base array, instead of a subclass
    ${ARRAY_FUNCTION_LIKE}

.. versionadded:: 1.20.0

Returns
    -------
    out : ndarray
        Array with specified requirements and type if given.

See Also
    --------
    asarray : Convert input to an ndarray.
    asanyarray : Convert to an ndarray, but pass through ndarray subclasses.
    ascontiguousarray : Convert input to a contiguous array.
    asfortranarray : Convert input to an ndarray with column-major
                     memory order.
    ndarray.flags : Information about the memory layout of the array.

Notes
    -----
    The returned array will be guaranteed to have the listed requirements
    by making a copy if needed.

Examples
    --------
    >>> x = np.arange(6).reshape(2,3)
    >>> x.flags
      C_CONTIGUOUS : True
      F_CONTIGUOUS : False
      OWNDATA : False
      WRITEABLE : True
      ALIGNED : True
      WRITEBACKIFCOPY : False

>>> y = np.require(x, dtype=np.float32, requirements=['A', 'O', 'W', 'F'])
    >>> y.flags
      C_CONTIGUOUS : False
      F_CONTIGUOUS : True
      OWNDATA : True
      WRITEABLE : True
      ALIGNED : True
      WRITEBACKIFCOPY : False

"""
    if like is not None:
        return _require_with_like(
            like,
            a,
            dtype=dtype,
            requirements=requirements,
        )

if not requirements:
        return asanyarray(a, dtype=dtype)

requirements = {POSSIBLE_FLAGS[x.upper()] for x in requirements}

if 'E' in requirements:
        requirements.remove('E')
        subok = False
    else:
        subok = True

order = 'A'
    if requirements >= {'C', 'F'}:
        raise ValueError('Cannot specify both "C" and "F" order')
    elif 'F' in requirements:
        order = 'F'
        requirements.remove('F')
    elif 'C' in requirements:
        order = 'C'
        requirements.remove('C')

arr = array(a, dtype=dtype, order=order, copy=False, subok=subok)

for prop in requirements:
        if not arr.flags[prop]:
            return arr.copy(order)
    return arr

_require_with_like = array_function_dispatch()(require)

cmd: