code: def _handle_fixedlen_feature(
      dense_defaults,
      dense_keys,
      dense_shapes,
      dense_types,
      feature,
      key,
      types,
  ):
      """handle_fixedlen_feature"""
      if tf.io.FixedLenFeature not in types:
          raise ValueError(f"Unsupported FixedLenFeature {feature}.")
      if not feature.dtype:
          raise ValueError("Missing type for feature %s." % key)
      if feature.shape is None:
          raise ValueError("Missing shape for feature %s." % key)
      dense_keys.append(key)
      dense_shapes.append(feature.shape)
      dense_types.append(feature.dtype)
      if feature.default_value is not None:
          dense_defaults[key] = feature.default_value
  
file_path: io/tensorflow_io/python/experimental/parse_avro_ops.py
imports: import collections
  import re
  import tensorflow
  import tensorflow_io
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 7 for calling a global function with example usage: _handle_fixedlen_feature(dense_defaults, dense_keys, dense_shapes, dense_types, feature, key, types) without return types