class_docstr: TFMA benchmark base class.
class_docstr_tok: ["TFMA","benchmark","base","class","."]
code: def _max_num_examples(self):
      # TFMA is slower than TFT, so use a smaller number of examples from the
      # dataset.
      limit = 100000
      parent_max = super()._max_num_examples()
      if parent_max is None:
          return limit
      return min(parent_max, limit)
  
file_path: tfx/tfx/benchmarks/tfma_benchmark_base.py
imports: import time
  import apache_beam
  import tensorflow_model_analysis
  from tensorflow_model_analysis.eval_saved_model import load
  import tfx
  from tfx.benchmarks import benchmark_utils
  from tfx.benchmarks import benchmark_base
label_desc: Use image node_id 2 for calling the TFMABenchmarkBase obj's underlying member method code with example usage: obj._max_num_examples() and returns: min, limit