class_docstr: A metric defined by a generic deterministic function, with normal noise
  with mean 0 and mean_sd scale added to the result.
class_docstr_tok: ["A","metric","defined","by","a","generic","deterministic","function",",","with","normal","noise","with","mean","0","and","mean_sd","scale","added","to","the","result","."]
code: def overwrite_existing_data(cls) -> bool:
      return True
  
file_path: Ax/ax/metrics/noisy_function_map.py
imports: from __future__ import annotations
  from logging import Logger
  from typing import Any, Iterable, Mapping, Optional
  import numpy
  import pandas
  from ax.core.base_trial import BaseTrial
  from ax.core.map_data import MapData, MapKeyInfo
  from ax.core.map_metric import MapMetric, MapMetricFetchResult
  from ax.core.metric import MetricFetchE
  from ax.utils.common.logger import get_logger
  from ax.utils.common.result import Err, Ok
label_desc: Use image node_id 3 for calling the NoisyFunctionMapMetric obj's underlying member method code with example usage: obj.overwrite_existing_data(cls) and returns: True