code: def num_sample_and_batch_size(request):
      return request.param
  
imports: import os
  from copy import deepcopy
  import numpy
  import pytest
  import torch
  from pythae.models import AE, VAE, VAMP, AEConfig, VAEConfig, VAMPConfig
  from pythae.pipelines import GenerationPipeline
  from pythae.samplers import NormalSampler, NormalSamplerConfig, TwoStageVAESampler, TwoStageVAESamplerConfig
  from pythae.trainers import BaseTrainerConfig
  from pythae.data.preprocessors import DataProcessor
label_desc: Use image node_id 5 for calling a global function with example usage: num_sample_and_batch_size(request) and returns: request