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"]
docstr: Create new list without heavy operations 
docstr_tok: ["Create","new","list","without","heavy","operations"]
code: def new_operations_without_heavy(
      excluded_operations, available_operations
  ) -> list:
      """Create new list without heavy operations"""
      available_operations = [
          _
          for _ in available_operations
          if _ not in excluded_operations
      ]
  
      return available_operations
  
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 4 for calling the OperationsPreset obj's underlying member method code with example usage: obj.new_operations_without_heavy(excluded_operations, available_operations) and returns: available_operations