docstr: Return the data pointer cast to a particular c-types object.
  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.
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code: def data_as(self, obj):
      """
      Return the data pointer cast to a particular c-types object.
      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.
      """
      # _ctypes.cast function causes a circular reference of self._data in
      # self._data._objects. Attributes of self._data cannot be released
      # until gc.collect is called. Make a copy of the pointer first then let
      # it hold the array reference. This is a workaround to circumvent the
      # CPython bug https://bugs.python.org/issue12836
      ptr = self._ctypes.cast(self._data, obj)
      ptr._arr = self._arr
      return ptr
  
imports: from __future__ import division, absolute_import, print_function
  import re
  import sys
  import platform
  from numpy.compat import unicode
  from numpy.core.overrides import set_module
  from .multiarray import dtype, array, ndarray
label_desc: Use image node_id 2 for calling the _ctypes obj's underlying member method code with example usage: obj.data_as(obj) and returns: ptr