code: def _iterator_transformer(parent, node, full_name, name, logs):
      """Transform iterator methods to compat function calls."""
      # First, check that node.func.value is not already something we like
      # (tf.compat.v1.data), or something which is handled in the rename
      # (tf.data). This transformer only handles the method call to function call
      # conversion.
      if full_name and (
          full_name.startswith("tf.compat.v1.data")
          or full_name.startswith("tf.data")
      ):
          return
  
      # This should never happen, since we're only called for Attribute nodes.
      if not isinstance(node.func, ast.Attribute):
          return
  
      # Transform from x.f(y) to tf.compat.v1.data.f(x, y)
      # Fortunately, node.func.value should already have valid position info
      node.args = [node.func.value] + node.args
      node.func.value = ast_edits.full_name_node("tf.compat.v1.data")
  
      logs.append(
          (
              ast_edits.WARNING,
              node.lineno,
              node.col_offset,
              "Changing dataset.%s() to tf.compat.v1.data.%s(dataset). "
              "Please check this transformation.\n" % (name, name),
          )
      )
  
      return node
  
imports: import ast
  import copy
  import functools
  import sys
  import pasta
  from tensorflow.tools.compatibility import all_renames_v2
  from tensorflow.tools.compatibility import ast_edits
  from tensorflow.tools.compatibility import module_deprecations_v2
  from tensorflow.tools.compatibility import reorders_v2
label_desc: Use image node_id 6 for calling a global function with example usage: _iterator_transformer(parent, node, full_name, name, logs) and returns: node