class_docstr: The result of a benchmark test, or series of replications. Scalar data present
  in the BenchmarkResult is here represented as (mean, sem) pairs.
class_docstr_tok: ["The","result","of","a","benchmark","test",",","or","series","of","replications",".","Scalar","data","present","in","the","BenchmarkResult","is","here","represented","as","(","mean",",","sem",")","pairs","."]
code: def __str__(self) -> str:
      return f"{self.__class__}(name={self.name})"
  
file_path: Ax/ax/benchmark/benchmark_result.py
imports: from dataclasses import dataclass
  from typing import Dict, Iterable, List, Optional
  import numpy
  from ax.core.experiment import Experiment
  from ax.utils.common.base import Base
  from numpy import nanmean, nanquantile, ndarray
  from pandas import DataFrame
  from scipy.stats import sem
label_desc: Use image node_id 1 for calling the AggregatedBenchmarkResult obj's underlying member method code with example usage: obj.__str__() and returns: self, str, self, str