code: def step_impl(context):
      # logging.info(f'Max {context.embedding.max()} Min {context.embedding.min()}')
      eq_(
          context.embedding.shape[0],
          140000,
          f"Expected 140000 floats in embedding found {context.embedding.shape[0]}",
      )
      # This is a minimal check on the embedding result content
      ok_(
          30 < context.embedding.max() < 40,
          "Expect the embedding tsne max value to be in the range 30 - 40 with standard settings",
      )
      ok_(
          -30 > context.embedding.min() > -40,
          "Expect the embedding tsne min value to be in the range -30 - -40 with standard settings",
      )
  
imports: from behave import *
  from nose.tools import *
  import nptsne
  import logging
label_desc: Use image node_id 3 for calling a global function with example usage: step_impl(context) without return types