class_docstr: A metric defined by a generic deterministic function, with normal noise
  with mean 0 and mean_sd scale added to the result.
code: def is_available_while_running(cls) -> bool:
      return True
  
imports: from __future__ import annotations
  from typing import Any, Callable, List, Optional
  import numpy
  import pandas
  from ax.core.base_trial import BaseTrial
  from ax.core.data import Data
  from ax.core.metric import Metric, MetricFetchE, MetricFetchResult
  from ax.core.types import TParameterization
  from ax.utils.common.result import Err, Ok
label_desc: Use image node_id 2 for calling the NoisyFunctionMetric obj's underlying member method code with example usage: obj.is_available_while_running(cls) and returns: True