code: def _np_doc_helper(f, np_f, unsupported_params=None):
      """Helper to get docs."""
      if (
          not unsupported_params
          and not _has_docstring(f)
          and _has_docstring(np_f)
      ):
          return np_f.__doc__
      doc = "TensorFlow variant of `numpy.%s`.\n\n" % np_f.__name__
      if unsupported_params:
          doc += (
              "Unsupported arguments: "
              + ", ".join(
                  "`" + name + "`" for name in unsupported_params
              )
              + ".\n\n"
          )
      if _has_docstring(f):
          doc += f.__doc__
          doc = _add_blank_line(doc)
      if _has_docstring(np_f):
          doc += "Documentation for `numpy.%s`:\n\n" % np_f.__name__
          doc += np_f.__doc__
      return doc
  
imports: import funcsigs
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import dtypes
label_desc: Use image node_id 14 for calling a global function with example usage: _np_doc_helper(f, np_f, unsupported_params) and returns: doc, np_f