code: def _create_frozen_trial(
      number: int = 0,
      values: Sequence[float] | None = None,
      constraints: Sequence[float] | None = None,
      params: dict[str, Any] | None = None,
      param_distributions: dict[str, BaseDistribution] | None = None,
      state: TrialState = TrialState.COMPLETE,
  ) -> optuna.trial.FrozenTrial:
      return FrozenTrial(
          number=number,
          value=1.0 if values is None else None,
          values=values,
          state=state,
          user_attrs={},
          system_attrs={}
          if constraints is None
          else {_CONSTRAINTS_KEY: list(constraints)},
          params=params or {},
          distributions=param_distributions or {},
          intermediate_values={},
          datetime_start=None,
          datetime_complete=None,
          trial_id=number,
      )
  
file_path: optuna/optuna/testing/trials.py
imports: from __future__ import annotations
  from collections.abc import Sequence
  from typing import Any
  import optuna
  from optuna.distributions import BaseDistribution
  from optuna.samplers._base import _CONSTRAINTS_KEY
  from optuna.trial import FrozenTrial
  from optuna.trial import TrialState
label_desc: Use image node_id 1 for calling a global function with example usage: _create_frozen_trial(number, values, constraints, params, param_distributions, state) and returns: FrozenTrial