code: def top_level_functions(body):
      return (f for f in body if isinstance(f, ast.FunctionDef))
  
imports: from __future__ import division, print_function, absolute_import
  import inspect
  import os
  import os.path
  from inspect import getmembers, isfunction
  import re
  import ast
  import tflearn
  from tflearn import activations
  from tflearn import callbacks
  from tflearn import collections
  import tflearn.config
  from tflearn import initializations
  from tflearn import metrics
  from tflearn import objectives
  from tflearn import optimizers
  from tflearn import data_utils
  from tflearn import regularizers
  from tflearn import summaries
  from tflearn import utils
  from tflearn import variables
  from tflearn import data_flow
  from tflearn import data_preprocessing
  from tflearn import data_augmentation
  from tflearn.layers import conv
  from tflearn.layers import core
  from tflearn.layers import embedding_ops
  from tflearn.layers import estimator
  from tflearn.layers import merge_ops
  from tflearn.layers import normalization
  from tflearn.layers import recurrent
  from tflearn.models import dnn, generator
  from tflearn.helpers import evaluator
  from tflearn.helpers import regularizer
  from tflearn.helpers import summarizer
  from tflearn.helpers import trainer
label_desc: Use image node_id 1 for calling a global function with example usage: top_level_functions(body) and returns: unknown