code: def _sanitize_and_flatten(ngram):
      """Fetches next sample from the reader, sanitizes tf types and flattens ngram to a list of values"""
      sanitized_ngram = {
          k: _sanitize_field_tf_types(v) for k, v in ngram.items()
      }
  
      return _flatten(sanitized_ngram)
  
imports: import datetime
  import sys
  import warnings
  from calendar import timegm
  from collections import OrderedDict, namedtuple
  from decimal import Decimal
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 17 for calling a global function with example usage: _sanitize_and_flatten(ngram) and returns: _flatten