code: def get_random_architecture(blocks_names, depth):
      output_architecture = []
      for _ in range(depth):
          output_architecture.append(get_random_block(blocks_names))
      return output_architecture
  
file_path: model_search/model_search/search/common.py
imports: import os
  from model_search import block_builder
  from model_search.architecture import architecture_utils
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 10 for calling a global function with example usage: get_random_architecture(blocks_names, depth) and returns: output_architecture