(a, fill_value, dtype=None, order='K', subok=True, shape=None)
return arrays_lib.tensor_to_ndarray(
      tf.broadcast_to(fill_value.data, tf.shape(a)))
order, subok and shape arguments mustn't be changed.
order, subok and shape arguments mustn't be changed.
order subok and shape arguments mustn t be changed .
def full_like(a, fill_value, dtype=None, order='K', subok=True, shape=None):  # pylint: disable=missing-docstring,redefined-outer-name
  """order, subok and shape arguments mustn't be changed."""
  if order != 'K':
    raise ValueError('Non-standard orders are not supported.')
  if not subok:
    raise ValueError('subok being False is not supported.')
  if shape:
    raise ValueError('Overriding the shape is not supported.')

  a = asarray(a).data
  dtype = dtype or utils.result_type(a)
  fill_value = asarray(fill_value, dtype=dtype)
  return arrays_lib.tensor_to_ndarray(
      tf.broadcast_to(fill_value.data, tf.shape(a)))
def full_like ( a , fill_value , dtype = None , order = 'K' , subok = True , shape = None ) : # pylint: disable=missing-docstring,redefined-outer-name if order != 'K' : raise ValueError ( 'Non-standard orders are not supported.' ) if not subok : raise ValueError ( 'subok being False is not supported.' ) if shape : raise ValueError ( 'Overriding the shape is not supported.' ) a = asarray ( a ) . data dtype = dtype or utils . result_type ( a ) fill_value = asarray ( fill_value , dtype = dtype ) return arrays_lib . tensor_to_ndarray ( tf . broadcast_to ( fill_value . data , tf . shape ( a ) ) )