class_docstr: A metric defined by a dictionary mapping parameter values to the
  corresponding metric values.
  
  This provides an option to add normal noise with mean 0 and mean_sd scale
  to the given metric values.
class_docstr_tok: ["A","metric","defined","by","a","dictionary","mapping","parameter","values","to","the","corresponding","metric","values",".","This","provides","an","option","to","add","normal","noise","with","mean","0","and","mean_sd","scale","to","the","given","metric","values","."]
code: def is_available_while_running(cls) -> bool:
      return True
  
file_path: Ax/ax/metrics/dict_lookup.py
imports: from __future__ import annotations
  from typing import Any, Dict, List, Optional, Tuple, Union
  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.utils.common.result import Err, Ok
  from ax.utils.common.typeutils import not_none
label_desc: Use image node_id 2 for calling the DictLookupMetric obj's underlying member method code with example usage: obj.is_available_while_running(cls) and returns: True