code: def step_impl(context, num_iters):
      context.tsne.init_transform(context.mnist["data"])
      context.embedding = context.tsne.run_transform(
          iterations=num_iters
      )
  
file_path: nptsne/test/features/steps/TextureTsneExtendedAPI.py
imports: from behave import *
  from nose.tools import *
  import nptsne
  import logging
label_desc: Use image node_id 5 for calling a global function with example usage: step_impl(context, num_iters) without return types