class_docstr: Raw results of running the benchmark.
  
  Attributes:
    num_iter: the number of iterations over examples that were done.
    num_examples: the number of examples that were processed in these
      iterations. Note that when examples are batched, then one iteration
      processes multiple examples.
    start_time: the time (in ns) at which when the benchmark started.
    first_batch_time: the time (in ns) at which the first iteration was
      processed.
    end_time: the time (in ns) at which the benchmark ended.
    batch_size: the number of examples in each iteration.
    durations_ns: the duration in ns of each iteration that was processed.
class_docstr_tok: ["Raw","results","of","running","the","benchmark",".","Attributes",":","num_iter",":","the","number","of","iterations","over","examples","that","were","done",".","num_examples",":","the","number","of","examples","that","were","processed","in","these","iterations",".","Note","that","when","examples","are","batched",",","then","one","iteration","processes","multiple","examples",".","start_time",":","the","time","(","in","ns",")","at","which","when","the","benchmark","started",".","first_batch_time",":","the","time","(","in","ns",")","at","which","the","first","iteration","was","processed",".","end_time",":","the","time","(","in","ns",")","at","which","the","benchmark","ended",".","batch_size",":","the","number","of","examples","in","each","iteration",".","durations_ns",":","the","duration","in","ns","of","each","iteration","that","was","processed","."]
code: def examples_per_second(self, include_first: bool = True) -> float:
      return self.examples(include_first) / self.total_time_s(
          include_first
      )
  
imports: from __future__ import annotations
  import dataclasses
  import statistics
  import textwrap
  import time
  from typing import Any, Dict, Iterable, List, Optional, Union
  from absl import logging
  from tensorflow_datasets.core.utils import tqdm_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import pandas
label_desc: Use image node_id 3 for calling the RawBenchmarkResult obj's underlying member method code with example usage: obj.examples_per_second(include_first) and returns: unknown