OwlCyberSecurity - MANAGER
Edit File: _internal.cpython-38.pyc
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For example, calling ``self._as_parameter_`` is equivalent to ``self.data_as(ctypes.c_void_p)``. Perhaps you want to use the data as a pointer to a ctypes array of floating-point data: ``self.data_as(ctypes.POINTER(ctypes.c_double))``. The returned pointer will keep a reference to the array. )rw rs ry rx )r[ r' rt r r r �data_as s z_ctypes.data_asc C s | j r dS || jj | jj� S )z� Return the shape tuple as an array of some other c-types type. For example: ``self.shape_as(ctypes.c_short)``. N)r{ rx rz rD �r[ r' r r r �shape_as s z_ctypes.shape_asc C s | j r dS || jj | jj� S )z� Return the strides tuple as an array of some other c-types type. For example: ``self.strides_as(ctypes.c_longlong)``. N)r{ rx rz �stridesr} r r r � strides_as( s z_ctypes.strides_asc C s | j jS )a A pointer to the memory area of the array as a Python integer. This memory area may contain data that is not aligned, or not in correct byte-order. The memory area may not even be writeable. The array flags and data-type of this array should be respected when passing this attribute to arbitrary C-code to avoid trouble that can include Python crashing. User Beware! The value of this attribute is exactly the same as ``self._array_interface_['data'][0]``. Note that unlike `data_as`, a reference will not be kept to the array: code like ``ctypes.c_void_p((a + b).ctypes.data)`` will result in a pointer to a deallocated array, and should be spelt ``(a + b).ctypes.data_as(ctypes.c_void_p)`` )ry rr �r[ r r r �data1 s z _ctypes.datac C s | � t� �S )a� (c_intp*self.ndim): A ctypes array of length self.ndim where the basetype is the C-integer corresponding to ``dtype('p')`` on this platform. This base-type could be `ctypes.c_int`, `ctypes.c_long`, or `ctypes.c_longlong` depending on the platform. The c_intp type is defined accordingly in `numpy.ctypeslib`. 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Parameters ---------- oldtype : data-type Data type of the original ndarray. newtype : data-type Data type of the field being accessed by ndarray.getfield offset : int Offset of the field being accessed by ndarray.getfield Raises ------ TypeError If the field access is invalid r Nr z'Cannot get/set field of an object array)� hasobjectr, r7 rL )�oldtype�newtyper@ r3 r r r �_getfield_is_safe� s �r� c C s$ | |kr dS |j s| j r td��dS )az Checks safety of a view involving object arrays, for example when doing:: np.zeros(10, dtype=oldtype).view(newtype) Parameters ---------- oldtype : data-type Data type of original ndarray newtype : data-type Data type of the view Raises ------ TypeError If the new type is incompatible with the old type. 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