code: def test_proposers_to_proposals_list(self) -> None:
      def make_mock_proposal(name: str) -> List[ShardingOption]:
          return [
              ShardingOption(
                  name=name,
                  tensor=torch.zeros(1),
                  # pyre-ignore
                  module=("model", None),
                  input_lengths=[],
                  batch_size=8,
                  sharding_type="row_wise",
                  partition_by="DEVICE",
                  compute_kernel="fused",
                  shards=[],
              )
          ]
  
      mock_proposer_1 = MockProposer()
      mock_proposer_1_sharding_options = [
          make_mock_proposal("p1so1"),
          make_mock_proposal("p1so2"),
          make_mock_proposal("p1so1"),
          None,
      ]
      mock_proposer_1.propose = MagicMock(
          side_effect=mock_proposer_1_sharding_options
      )
  
      mock_proposer_2 = MockProposer()
      mock_proposer_2_sharding_options = [
          make_mock_proposal("p2so1"),
          make_mock_proposal("p2so1"),
          make_mock_proposal("p1so2"),
          make_mock_proposal("p2so2"),
          None,
      ]
      mock_proposer_2.propose = MagicMock(
          side_effect=mock_proposer_2_sharding_options
      )
  
      mock_proposer_3 = MockProposer()
      mock_proposer_3_sharding_options = [
          make_mock_proposal("p3so1"),
          make_mock_proposal("p2so1"),
          make_mock_proposal("p3so2"),
          None,
      ]
      mock_proposer_3.propose = MagicMock(
          side_effect=mock_proposer_3_sharding_options
      )
  
      proposers_list: List[Proposer] = [
          mock_proposer_1,
          mock_proposer_2,
          mock_proposer_3,
      ]
  
      proposals_list = proposers_to_proposals_list(
          proposers_list, search_space=[]
      )
      proposals_list_names = []
  
      for sharding_option in proposals_list:
          proposals_list_names.append(sharding_option[0].name)
  
      expected_list_names = [
          "p1so1",
          "p1so2",
          "p2so1",
          "p2so2",
          "p3so1",
          "p3so2",
      ]
  
      self.assertEqual(proposals_list_names, expected_list_names)
  
imports: import unittest
  from typing import cast, List, Optional
  from unittest.mock import MagicMock
  import torch
  from torchrec.distributed.embedding_types import EmbeddingComputeKernel
  from torchrec.distributed.embeddingbag import EmbeddingBagCollectionSharder
  from torchrec.distributed.planner.constants import BATCH_SIZE
  from torchrec.distributed.planner.enumerators import EmbeddingEnumerator
  from torchrec.distributed.planner.proposers import EmbeddingOffloadScaleupProposer, GreedyProposer, GridSearchProposer, proposers_to_proposals_list, UniformProposer
  from torchrec.distributed.planner.types import Enumerator, ParameterConstraints, Proposer, ShardingOption, Topology
  from torchrec.distributed.test_utils.test_model import TestSparseNN
  from torchrec.distributed.types import CacheParams, CacheStatistics, ModuleSharder, ShardingType
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
label_desc: Use image node_id 8 for calling the TestProposers obj's underlying member method code with example usage: obj.test_proposers_to_proposals_list() and returns: list