tensorflow_probability/python/distributions/distribution.py
def _copy_fn(fn):
  """Create a deep copy of fn.

  Args:
    fn: a callable

  Returns:
    A `FunctionType`: a deep copy of fn.

  Raises:
    TypeError: if `fn` is not a callable.
  """
  if not callable(fn):
    raise TypeError("fn is not callable: {}".format(fn))
  # The blessed way to copy a function. copy.deepcopy fails to create a
  # non-reference copy. Since:
  #   types.FunctionType == type(lambda: None),
  # and the docstring for the function type states:
  #
  #   function(code, globals[, name[, argdefs[, closure]]])
  #
  #   Create a function object from a code object and a dictionary.
  #   ...
  #
  # Here we can use this to create a new function with the old function's
  # code, globals, closure, etc.
  return types.FunctionType(
      code=fn.__code__, globals=fn.__globals__,
      name=fn.__name__, argdefs=fn.__defaults__,
      closure=fn.__closure__)
def _copy_fn(fn):
  """Create a deep copy of fn.

  Args:
    fn: a callable

  Returns:
    A `FunctionType`: a deep copy of fn.

  Raises:
    TypeError: if `fn` is not a callable.
  """
  if not callable(fn):
    raise TypeError("fn is not callable: {}".format(fn))
  # The blessed way to copy a function. copy.deepcopy fails to create a
  # non-reference copy. Since:
  #   types.FunctionType == type(lambda: None),
  # and the docstring for the function type states:
  #
  #   function(code, globals[, name[, argdefs[, closure]]])
  #
  #   Create a function object from a code object and a dictionary.
  #   ...
  #
  # Here we can use this to create a new function with the old function's
  # code, globals, closure, etc.
  return types.FunctionType(
      code=fn.__code__, globals=fn.__globals__,
      name=fn.__name__, argdefs=fn.__defaults__,
      closure=fn.__closure__)
def _copy_fn ( fn ) : if not callable ( fn ) : raise TypeError ( "fn is not callable: {}" . format ( fn ) ) # The blessed way to copy a function. copy.deepcopy fails to create a # non-reference copy. Since: #   types.FunctionType == type(lambda: None), # and the docstring for the function type states: # #   function(code, globals[, name[, argdefs[, closure]]]) # #   Create a function object from a code object and a dictionary. #   ... # # Here we can use this to create a new function with the old function's # code, globals, closure, etc. return types . FunctionType ( code = fn . __code__ , globals = fn . __globals__ , name = fn . __name__ , argdefs = fn . __defaults__ , closure = fn . __closure__ )
Create a deep copy of fn.

  Args:
    fn: a callable

  Returns:
    A `FunctionType`: a deep copy of fn.

  Raises:
    TypeError: if `fn` is not a callable.
Create a deep copy of fn .