class_docstr: Specification of how to bind arguments to a function.
  
  Deprecated. Please use FunctionType instead.
class_docstr_tok: ["Specification","of","how","to","bind","arguments","to","a","function",".","Deprecated",".","Please","use","FunctionType","instead","."]
docstr: Construct FunctionSpec from legacy FullArgSpec format.
docstr_tok: ["Construct","FunctionSpec","from","legacy","FullArgSpec","format","."]
code: def from_fullargspec_and_signature(
      cls,
      fullargspec,
      input_signature,
      is_pure=False,
      name=None,
      jit_compile=None,
  ):
      """Construct FunctionSpec from legacy FullArgSpec format."""
      function_type, default_values = to_function_type(fullargspec)
      if input_signature:
          input_signature = tuple(input_signature)
          _validate_signature(input_signature)
          function_type = function_type_lib.add_type_constraints(
              function_type, input_signature, default_values
          )
  
      return FunctionSpec(
          function_type, default_values, is_pure, name, jit_compile
      )
  
imports: import functools
  import inspect
  from typing import Any, Dict, Tuple
  import six
  from tensorflow.core.function import trace_type
  from tensorflow.core.function.polymorphism import function_type
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the FunctionSpec obj's underlying member method code with example usage: obj.from_fullargspec_and_signature(cls, fullargspec, input_signature, is_pure, name, jit_compile) and returns: FunctionSpec