code: def stack_frames_run_tag_filter(run, stack_frame_ids):
      """Create a RunTagFilter for querying stack frames.
  
      Args:
        run: tfdbg2 run name.
        stack_frame_ids: The stack_frame_ids being requested.
  
      Returns:
        `RunTagFilter` for accessing the content of the source file.
      """
      return provider.RunTagFilter(
          runs=[run],
          # The stack-frame IDS are UUIDs, which do not contain underscores.
          # Hence it's safe to concatenate them with underscores.
          tags=[
              STACK_FRAMES_BLOB_TAG_PREFIX
              + "_"
              + "_".join(stack_frame_ids)
          ],
      )
  
imports: import json
  from tensorboard.data import provider
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
label_desc: Use image node_id 19 for calling a global function with example usage: stack_frames_run_tag_filter(run, stack_frame_ids) and returns: provider