class_docstr: A DataProvider implementation for tfdbg v2 data on local filesystem.
  
  In this implementation, `experiment_id` is assumed to be the path to the
  logdir that contains the DebugEvent file set.
class_docstr_tok: ["A","DataProvider","implementation","for","tfdbg","v2","data","on","local","filesystem",".","In","this","implementation",",","`","experiment_id","`","is","assumed","to","be","the","path","to","the","logdir","that","contains","the","DebugEvent","file","set","."]
code: def read_blob_sequences(
      self,
      ctx=None,
      *,
      experiment_id,
      plugin_name,
      downsample=None,
      run_tag_filter=None,
  ):
      del experiment_id, downsample  # Unused.
      if plugin_name != PLUGIN_NAME:
          raise ValueError("Unsupported plugin_name: %s" % plugin_name)
      if run_tag_filter.runs is None:
          raise ValueError(
              "run_tag_filter.runs is expected to be specified, but is not."
          )
      if run_tag_filter.tags is None:
          raise ValueError(
              "run_tag_filter.tags is expected to be specified, but is not."
          )
  
      output = dict()
      existing_runs = self._multiplexer.Runs()
      for run in run_tag_filter.runs:
          if run not in existing_runs:
              continue
          output[run] = dict()
          for tag in run_tag_filter.tags:
              if tag.startswith(
                  (
                      ALERTS_BLOB_TAG_PREFIX,
                      EXECUTION_DIGESTS_BLOB_TAG_PREFIX,
                      EXECUTION_DATA_BLOB_TAG_PREFIX,
                      GRAPH_EXECUTION_DIGESTS_BLOB_TAG_PREFIX,
                      GRAPH_EXECUTION_DATA_BLOB_TAG_PREFIX,
                      GRAPH_INFO_BLOB_TAG_PREFIX,
                      GRAPH_OP_INFO_BLOB_TAG_PREFIX,
                      SOURCE_FILE_BLOB_TAG_PREFIX,
                      STACK_FRAMES_BLOB_TAG_PREFIX,
                  )
              ) or tag in (SOURCE_FILE_LIST_BLOB_TAG,):
                  output[run][tag] = [
                      provider.BlobReference(
                          blob_key="%s.%s" % (tag, run)
                      )
                  ]
      return output
  
imports: import json
  from tensorboard.data import provider
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
label_desc: Use image node_id 8 for calling the LocalDebuggerV2DataProvider obj's underlying member method code with example usage: obj.read_blob_sequences(ctx) and returns: output