code: def _asymmetric_distance_matrix_worker(
      worker_id,
      entire_ttda,
      ttdas_sent,
      n_ttdas,
      masking_method,
      masking_threshold,
      pipe,
  ):
      """Worker that computes the distance to all other nodes from a chunk of nodes."""
      logger.info(
          f"spawned worker {worker_id} to generate {n_ttdas} rows of the asymmetric distance matrix"
      )
      # the chunk of ttda that's going to be calculated:
      ttda1 = entire_ttda[ttdas_sent : ttdas_sent + n_ttdas]
      distance_chunk = _calculate_asymmetric_distance_matrix_chunk(
          ttda1=ttda1,
          ttda2=entire_ttda,
          start_index=ttdas_sent,
          masking_method=masking_method,
          masking_threshold=masking_threshold,
      )
      pipe.send(
          (worker_id, distance_chunk)
      )  # remember that this code is inside the workers memory
      pipe.close()
  
imports: import logging
  import os
  from multiprocessing import Process, Pipe, ProcessError
  import importlib
  from typing import Set, Optional, List
  import numpy
  from scipy.spatial.distance import cosine
  from dataclasses import dataclass
  from gensim import utils
  from gensim.models import ldamodel, ldamulticore, basemodel
  from gensim.utils import SaveLoad
label_desc: Use image node_id 14 for calling a global function with example usage: _asymmetric_distance_matrix_worker(worker_id, entire_ttda, ttdas_sent, n_ttdas, masking_method, masking_threshold, pipe) without return types