code: def _satisfy_constraints(trial: FrozenTrial) -> bool:
      constraints = trial.system_attrs.get(_CONSTRAINTS_KEY)
      return constraints is None or all([x <= 0.0 for x in constraints])
  
imports: from __future__ import annotations
  import math
  from typing import Any
  from typing import Callable
  from typing import NamedTuple
  from optuna.logging import get_logger
  from optuna.samplers._base import _CONSTRAINTS_KEY
  from optuna.study import Study
  from optuna.study import StudyDirection
  from optuna.trial import FrozenTrial
  from optuna.trial import TrialState
  from optuna.visualization._plotly_imports import _imports
  from optuna.visualization._utils import _check_plot_args
  from optuna.visualization._utils import _filter_nonfinite
  from optuna.visualization._utils import _is_log_scale
  from optuna.visualization._utils import _is_numerical
  from optuna.visualization._utils import _is_reverse_scale
label_desc: Use image node_id 7 for calling a global function with example usage: _satisfy_constraints(trial) and returns: unknown