code: def _convert_blob_sequence_event(
      experiment_id, plugin_name, run, tag, event
  ):
      """Helper for `read_blob_sequences`."""
      num_blobs = _tensor_size(event.tensor_proto)
      values = tuple(
          provider.BlobReference(
              _encode_blob_key(
                  experiment_id,
                  plugin_name,
                  run,
                  tag,
                  event.step,
                  idx,
              )
          )
          for idx in range(num_blobs)
      )
      return provider.BlobSequenceDatum(
          wall_time=event.wall_time,
          step=event.step,
          values=values,
      )
  
imports: import base64
  import collections
  import json
  import random
  from tensorboard import errors
  from tensorboard.compat.proto import summary_pb2
  from tensorboard.data import provider
  from tensorboard.util import tb_logging
  from tensorboard.util import tensor_util
label_desc: Use image node_id 5 for calling a global function with example usage: _convert_blob_sequence_event(experiment_id, plugin_name, run, tag, event) and returns: provider