class_docstr: Class for presets processing. Preset is a set of operations (data operations
  and models), which will be used during pipeline structure search
class_docstr_tok: ["Class","for","presets","processing",".","Preset","is","a","set","of","operations","(","data","operations","and","models",")",",","which","will","be","used","during","pipeline","structure","search"]
code: def __init__(self, task: Task, preset_name: str):
      self.task = task
      self.preset_name = preset_name
  
      # Is there a modification in preset or not
      self.modification_using = False
  
file_path: FEDOT/fedot/api/api_utils/presets.py
imports: from copy import copy
  from typing import Optional
  from fedot.api.time import ApiTime
  from fedot.core.constants import BEST_QUALITY_PRESET_NAME, FAST_TRAIN_PRESET_NAME, AUTO_PRESET_NAME
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.operation_types_repository import OperationTypesRepository, get_operations_for_task
  from fedot.core.repository.tasks import Task
label_desc: Use image node_id 1 to create a new OperationsPreset object  with example: obj = OperationsPreset(task, preset_name)