code: def test_create_trial(state: TrialState) -> None:
      value = 0.2
      params = {"x": 10}
      distributions: Dict[str, BaseDistribution] = {
          "x": FloatDistribution(5, 12)
      }
      user_attrs = {"foo": "bar"}
      system_attrs = {"baz": "qux"}
      intermediate_values = {0: 0.0, 1: 0.1, 2: 0.1}
  
      trial = create_trial(
          state=state,
          value=value,
          params=params,
          distributions=distributions,
          user_attrs=user_attrs,
          system_attrs=system_attrs,
          intermediate_values=intermediate_values,
      )
  
      assert isinstance(trial, FrozenTrial)
      assert trial.state == state
      assert trial.value == value
      assert trial.params == params
      assert trial.distributions == distributions
      assert trial.user_attrs == user_attrs
      assert trial.system_attrs == system_attrs
      assert trial.intermediate_values == intermediate_values
      assert trial.datetime_start is not None
      assert (
          trial.datetime_complete is not None
      ) == state.is_finished()
  
      with pytest.raises(ValueError):
          create_trial(state=state, value=value, values=(value,))
  
imports: from __future__ import annotations
  import copy
  import datetime
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Optional
  from typing import Tuple
  import pytest
  from optuna import create_study
  from optuna.distributions import BaseDistribution
  from optuna.distributions import FloatDistribution
  from optuna.distributions import IntDistribution
  from optuna.testing.storages import STORAGE_MODES
  from optuna.testing.storages import StorageSupplier
  import optuna.trial
  from optuna.trial import BaseTrial
  from optuna.trial import create_trial
  from optuna.trial import FrozenTrial
  from optuna.trial import TrialState
label_desc: Use image node_id 16 for calling a global function with example usage: test_create_trial(state) without return types