code: def execution_data_run_tag_filter(run, begin, end):
      """Create a RunTagFilter for Execution data objects.
  
      This differs from `execution_digest_run_tag_filter()` in that it is
      for the detailed data objects for execution, instead of the digests.
  
      Args:
        run: tfdbg2 run name.
        begin: Beginning index of Execution.
        end: Ending index of Execution.
  
      Returns:
        `RunTagFilter` for the run and range of ExecutionDigests.
      """
      return provider.RunTagFilter(
          runs=[run],
          tags=[
              "%s_%d_%d" % (EXECUTION_DATA_BLOB_TAG_PREFIX, begin, end)
          ],
      )
  
imports: import json
  from tensorboard.data import provider
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
label_desc: Use image node_id 5 for calling a global function with example usage: execution_data_run_tag_filter(run, begin, end) and returns: provider