class_docstr: Class which replace Operation class for AtomizedModel object 
class_docstr_tok: ["Class","which","replace","Operation","class","for","AtomizedModel","object"]
code: def description(self, operation_params: Optional[dict] = None) -> str:
      operation_type = self.operation_type
      operation_length = self.pipeline.length
      operation_depth = self.pipeline.depth
      operation_id = self.pipeline.root_node.descriptive_id
      operation_types = map(
          lambda node: node.operation.operation_type,
          self.pipeline.nodes,
      )
      operation_types_dict = dict(Counter(operation_types))
      return (
          f"{operation_type}_length:{operation_length}_depth:{operation_depth}"
          f"_types:{operation_types_dict}_id:{operation_id}"
      )
  
imports: from collections import Counter
  from datetime import timedelta
  from functools import reduce
  from operator import and_, or_
  from typing import Any, Callable, Dict, List, Optional, Set, Union
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.operation import Operation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.metrics_repository import MetricCallable
  from fedot.core.repository.operation_types_repository import OperationMetaInfo, atomized_model_type
label_desc: Use image node_id 7 for calling the AtomizedModel obj's underlying member method code with example usage: obj.description(operation_params) and returns: operation_type, str, operation_length, str, operation_depth, str, operation_types_dict, str, operation_id