parameters: (value, dtype)
return_statement: return dtype.type(value)
docstring: Ensure that the given value is an instance of the given dtype.
  
      e.g. if out dtype is np.complex64, we should have an instance of that
      as opposed to a python complex object.
  
      Parameters
      ----------
      value : object
      dtype : np.dtype or ExtensionDtype
  
      Returns
      -------
      object
docstring_summary: Ensure that the given value is an instance of the given dtype.
docstring_tokens: Ensure that the given value is an instance of the given dtype .
function: def _ensure_dtype_type(value, dtype):
      """
      Ensure that the given value is an instance of the given dtype.
  
      e.g. if out dtype is np.complex64, we should have an instance of that
      as opposed to a python complex object.
  
      Parameters
      ----------
      value : object
      dtype : np.dtype or ExtensionDtype
  
      Returns
      -------
      object
      """
  
      # Start with exceptions in which we do _not_ cast to numpy types
      if is_extension_array_dtype(dtype):
          return value
      elif dtype == np.object_:
          return value
      elif isna(value):
          # e.g. keep np.nan rather than try to cast to np.float32(np.nan)
          return value
  
      return dtype.type(value)
function_tokens: def _ensure_dtype_type ( value , dtype ) : # Start with exceptions in which we do _not_ cast to numpy types if is_extension_array_dtype ( dtype ) : return value elif dtype == np . object_ : return value elif isna ( value ) : # e.g. keep np.nan rather than try to cast to np.float32(np.nan) return value return dtype . type ( value )