code: def edge_path_idx(self) -> int:
      return (
          self.iteration_idx
          // self.num_edge_chunks
          % self.num_edge_paths
      )
  
imports: import logging
  import math
  import time
  from collections import defaultdict
  from functools import partial
  from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple
  import torch
  import torch.distributed
  from torch.optim import Optimizer
  from torchbiggraph.async_adagrad import AsyncAdagrad
  from torchbiggraph.batching import AbstractBatchProcessor, call, process_in_batches
  from torchbiggraph.bucket_scheduling import BucketStats, DistributedBucketScheduler, LockServer, SingleMachineBucketScheduler
  from torchbiggraph.checkpoint_manager import CheckpointManager, ConfigMetadataProvider, MetadataProvider, PartitionClient, ShardedPartitionClient
  from torchbiggraph.config import ConfigSchema
  from torchbiggraph.distributed import init_process_group, ProcessRanks, start_server
  from torchbiggraph.edgelist import EdgeList
  from torchbiggraph.eval import RankingEvaluator
  from torchbiggraph.graph_storages import EDGE_STORAGES, ENTITY_STORAGES
  from torchbiggraph.losses import AbstractLossFunction, LOSS_FUNCTIONS
  from torchbiggraph.model import make_model, MultiRelationEmbedder
  from torchbiggraph.parameter_sharing import ParameterServer, ParameterSharer
  from torchbiggraph.row_adagrad import RowAdagrad
  from torchbiggraph.stats import Stats, StatsHandler
  from torchbiggraph.types import Bucket, EntityName, FloatTensorType, ModuleStateDict, Partition, Rank, SINGLE_TRAINER, UNPARTITIONED
  from torchbiggraph.util import allocate_shared_tensor, BucketLogger, create_pool, DummyOptimizer, EmbeddingHolder, fast_approx_rand, get_async_result, get_num_workers, hide_distributed_logging, round_up_to_nearest_multiple, split_almost_equally, tag_logs_with_process_name
label_desc: Use image node_id 4 for calling the IterationManager obj's underlying member method code with example usage: obj.edge_path_idx() and returns: unknown