code: def generate_terms(
      degree: int, num_variables: int
  ) -> List[List[int]]:
      """Lists out multisets corresponding to all possible terms up to degree `degree` and `num_variables` variables."""
      return sum(
          [
              list(
                  map(
                      lambda _: list(_),
                      combinations_with_replacement(
                          range(num_variables), d
                      ),
                  )
              )
              for d in reversed(range(degree + 1))
          ],
          [],
      )
  
imports: from collections import defaultdict
  from dataclasses import dataclass, field
  from itertools import combinations_with_replacement, product
  import math
  from math import comb
  import numpy
  import numpy.typing
  import random
  import sympy
  from sympy import Symbol, Poly, diff
  from sympy.parsing.sympy_parser import standard_transformations, implicit_multiplication_application
  from typing import List, Optional, Tuple, Dict
  from helm.benchmark.adaptation.adapters.adapter_factory import ADAPT_GENERATION
  from helm.benchmark.adaptation.adapter_spec import AdapterSpec
  from helm.benchmark.window_services.tokenizer_service import TokenizerService
  from helm.common.authentication import Authentication
  from helm.proxy.services.server_service import ServerService
  from .scenario import Scenario, Instance, Reference, TRAIN_SPLIT, TEST_SPLIT, CORRECT_TAG, Input, Output
label_desc: Use image node_id 2 for calling a global function with example usage: generate_terms(degree, num_variables) and returns: sum