code: def step_impl(context, max_range, min_range):
      # logging.info(f'Max {max_range} Min {min_range}')
      logging.info(
          f"Embed max {context.embedding.max()} Embed min {context.embedding.min()}"
      )
      # This is a minimal check on the embedding result content
      ok_(
          max_range[0] < context.embedding.max() < max_range[1],
          f"Expect the embedding tsne max value to be in the range {max_range[0]} - {max_range[1]} with standard settings",
      )
      ok_(
          min_range[0] > context.embedding.min() > min_range[1],
          f"Expect the embedding tsne min value to be in the range {min_range[0]} - {min_range[1]} with standard settings",
      )
  
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 7 for calling a global function with example usage: step_impl(context, max_range, min_range) without return types