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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def query_tensor_store(self, watch_key, time_indices=None, slicing=None, mapping=None):
 """Query tensor store for a given debugged tensor value. Args: watch_key: The watch key of the debugged tensor being sought. Format: <node_name>:<output_slot>:<debug_op> E.g., Dense_1/MatMul:0:DebugIdentity. time_indices: Optional time indices string By default, the lastest time index ('-1') is returned. slicing: Optional slicing string. mapping: Optional mapping string, e.g., 'image/png'. Returns: If mapping is `None`, the possibly sliced values as a nested list of values or its mapped format. A `list` of nested `list` of values, If mapping is not `None`, the format of the return value will depend on the mapping. """

    return self._tensor_store.query(watch_key,
                                    time_indices=time_indices,
                                    slicing=slicing,
                                    mapping=mapping)