code: def _num_analyzers(self):
      return (
          FLAGS.num_analyzers_wide
          if FLAGS.is_parsed()
          else FLAGS["num_analyzers_wide"].default
      )
  
file_path: tfx/tfx/benchmarks/tft_benchmark_chicago_taxi.py
imports: from absl import flags
  from tfx.benchmarks import tft_benchmark_base
  from tfx.benchmarks.datasets.chicago_taxi import dataset
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the TFTBenchmarkChicagoTaxiWide obj's underlying member method code with example usage: obj._num_analyzers() and returns: unknown