class_docstr: Data structure that manages the metric data (e.g., loss, accuracy, etc.).
  
  NOTE: Multiple metrics and minimized metrics are not supported in the current iteration.
  
  Parameters
  ----------
  strict
      Whether to convert the metrics into a float.
      If ``true``, only float metrics or dict with "default" are accepted.
code: def __repr__(self):
      return f"Metrics(intermediates=<array of length {len(self.intermediates)}>, final={self.final})"
  
file_path: nni/nni/nas/space/metrics.py
imports: from __future__ import annotations
  from typing import Any, Sequence, cast
  from nni.typehint import TrialMetric
label_desc: Use image node_id 3 for calling the Metrics obj's underlying member method code with example usage: obj.__repr__() and returns: str, len, str, self, str