Function getcallargs

tensorflow/python/util/tf_inspect.py:260–294

TFDecorator-aware replacement for inspect.getcallargs. Args: *func_and_positional: A callable, possibly decorated, followed by any positional arguments that would be passed to `func`. **named: The named argument dictionary that would be passed to `func`. Returns: A dictionary

(*func_and_positional, **named)

def getcallargs(*func_and_positional, **named):
  """TFDecorator-aware replacement for inspect.getcallargs.

  Args:
    *func_and_positional: A callable, possibly decorated, followed by any
      positional arguments that would be passed to `func`.
    **named: The named argument dictionary that would be passed to `func`.

  Returns:
    A dictionary mapping `func`'s named arguments to the values they would
    receive if `func(*positional, **named)` were called.

  `getcallargs` will use the argspec from the outermost decorator that provides
  it. If no attached decorators modify argspec, the final unwrapped target's
  argspec will be used.
  """
  func = func_and_positional[0]
  positional = func_and_positional[1:]
  argspec = getfullargspec(func)
  call_args = named.copy()
  this = getattr(func, 'im_self', None) or getattr(func, '__self__', None)
  if ismethod(func) and this:
    positional = (this,) + positional
  remaining_positionals = [arg for arg in argspec.args if arg not in call_args]
  call_args.update(dict(zip(remaining_positionals, positional)))
  default_count = 0 if not argspec.defaults else len(argspec.defaults)
  if default_count:
    for arg, value in zip(argspec.args[-default_count:], argspec.defaults):
      if arg not in call_args:
        call_args[arg] = value
  if argspec.kwonlydefaults is not None:
    for k, v in argspec.kwonlydefaults.items():
      if k not in call_args:
        call_args[k] = v
  return call_args


def getframeinfo(*args, **kwargs):