code: def __init__(
      self,
      filename=None,
      group=None,
      dataset=None,
      dataset_kwds=None,
      container_name=None,
      **kw,
  ):
      super().__init__(
          _filename=filename,
          _group=group,
          _dataset=dataset,
          _dataset_kwds=dataset_kwds,
          _container_name=container_name,
          **kw,
      )
  
imports: import threading
  import time
  from typing import List
  import numpy
  from ...None import opcodes
  from ...core.context import get_context
  from ...oscar import ActorNotExist
  from ...serialization.serializables import FieldTypes, KeyField, StringField, DictField, TupleField
  from ...lib.filesystem import open_file
  from ...utils import has_unknown_shape
  from ..datasource import tensor
  from .core import TensorDataStore
label_desc: Use image node_id 1 to create a new TensorHDF5DataStore object from inherited base classes: TensorDataStore with example: obj = TensorHDF5DataStore(filename, group, dataset, dataset_kwds, container_name)