# Path: vizier/pyvizier/shared/trial.py
# class ParameterExternalType(enum.IntEnum):
# class TrialStatus(enum.IntEnum):
# class Metric:
# class ParameterValue:
# class _MetricDict(collections.UserDict):
# class Measurement:
# class ParameterDict(cabc.MutableMapping):
# class Trial:
# class TrialSuggestion:
#   AS_INTERNAL = 0
#   AS_BOOLEAN = 1
#   AS_INTEGER = 2
#   AS_FLOAT = 3
#   UNKNOWN = 0
#   REQUESTED = 1
#   PENDING = 2
#   COMPLETED = 4
#   DELETED = 5
#   STOPPING = 6
#   def _std_not_negative(self, _, stddev):
#   def cast(
#       self,
#       external_type: ParameterExternalType,
#   ) -> ParameterValueTypes:
#   def as_float(self) -> Optional[float]:
#   def as_int(self) -> Optional[int]:
#   def as_str(self) -> Optional[str]:
#   def as_bool(self) -> Optional[bool]:
#   def __str__(self) -> str:
#   def __repr__(self) -> str:
#   def __setitem__(self, key: str, value: Union[float, Metric]):
#   def _value_is_finite(self, _, value):
# def _to_local_time(
#     dt: Optional[datetime.datetime]) -> Optional[datetime.datetime]:
#   def __init__(self, iterable: Any = tuple(), **kwargs):
#   def __setitem__(self, key: str, value: Union[ParameterValue,
#                                                ParameterValueTypes]):
#   def __delitem__(self, key: str):
#   def __getitem__(self, key: str) -> ParameterValue:
#   def __len__(self) -> int:
#   def __iter__(self):
#   def get_value(
#       self,
#       key: str,
#       default: Optional[ParameterValueTypes] = None
#   ) -> Optional[ParameterValueTypes]:
#   def duration(self) -> Optional[datetime.timedelta]:
#   def is_completed(self) -> bool:
#   def infeasible(self) -> bool:
#   def infeasibility_reason(self) -> Optional[str]:
#   def complete(self,
#                measurement: Measurement,
#                *,
#                inplace: bool = True) -> 'Trial':
#   def to_trial(self, uid: int) -> Trial:


import collections
import copy
import enum
import math
import attr
from typing import Generator, List, Optional, Sequence, Tuple, Union
from absl import logging
from vizier.pyvizier.shared import trial
                     'an unreachable code.'.format(one.type))

  def traverse(
      self,
      show_children: bool = False) -> Generator['ParameterConfig', None, None]:
    """DFS Generator for parameter configs.

    Args:
      show_children: If True, every generated ParameterConfig has
        child_parameter_configs. For example, if 'foo' has two child configs
        'bar1' and 'bar2', then traversing 'foo' with show_children=True
        generates (foo, with bar1,bar2 as children), (bar1), and (bar2). If
        show_children=False, it generates (foo, without children), (bar1), and
        (bar2).

    Yields:
      DFS on all parameter configs.
    """
    if show_children:
      yield self
    else:
      yield self.clone_without_children
    for child in self.child_parameter_configs:
      yield from child.traverse(show_children)

  def contains(
      self, value: Union[trial.ParameterValueTypes,
                         trial.ParameterValue]) -> bool:
    """Check if the `value` is a valid value for this parameter config."""
    if not isinstance(value, trial.ParameterValue):

# Path: vizier/pyvizier/shared/trial.py
# class ParameterExternalType(enum.IntEnum):
# class TrialStatus(enum.IntEnum):
# class Metric:
# class ParameterValue:
# class _MetricDict(collections.UserDict):
# class Measurement:
# class ParameterDict(cabc.MutableMapping):
# class Trial:
# class TrialSuggestion:
#   AS_INTERNAL = 0
#   AS_BOOLEAN = 1
#   AS_INTEGER = 2
#   AS_FLOAT = 3
#   UNKNOWN = 0
#   REQUESTED = 1
#   PENDING = 2
#   COMPLETED = 4
#   DELETED = 5
#   STOPPING = 6
#   def _std_not_negative(self, _, stddev):
#   def cast(
#       self,
#       external_type: ParameterExternalType,
#   ) -> ParameterValueTypes:
#   def as_float(self) -> Optional[float]:
#   def as_int(self) -> Optional[int]:
#   def as_str(self) -> Optional[str]:
#   def as_bool(self) -> Optional[bool]:
#   def __str__(self) -> str:
#   def __repr__(self) -> str:
#   def __setitem__(self, key: str, value: Union[float, Metric]):
#   def _value_is_finite(self, _, value):
# def _to_local_time(
#     dt: Optional[datetime.datetime]) -> Optional[datetime.datetime]:
#   def __init__(self, iterable: Any = tuple(), **kwargs):
#   def __setitem__(self, key: str, value: Union[ParameterValue,
#                                                ParameterValueTypes]):
#   def __delitem__(self, key: str):
#   def __getitem__(self, key: str) -> ParameterValue:
#   def __len__(self) -> int:
#   def __iter__(self):
#   def get_value(
#       self,
#       key: str,
#       default: Optional[ParameterValueTypes] = None
#   ) -> Optional[ParameterValueTypes]:
#   def duration(self) -> Optional[datetime.timedelta]:
#   def is_completed(self) -> bool:
#   def infeasible(self) -> bool:
#   def infeasibility_reason(self) -> Optional[str]:
#   def complete(self,
#                measurement: Measurement,
#                *,
#                inplace: bool = True) -> 'Trial':
#   def to_trial(self, uid: int) -> Trial:


# Path: vizier/pyvizier/shared/parameter_config.py
import collections
import copy
import enum
import math
import attr
from typing import Generator, List, Optional, Sequence, Tuple, Union
from absl import logging
from vizier.pyvizier.shared import trial

                     'an unreachable code.'.format(one.type))

  def traverse(
      self,
      show_children: bool = False) -> Generator['ParameterConfig', None, None]:
    """DFS Generator for parameter configs.

    Args:
      show_children: If True, every generated ParameterConfig has
        child_parameter_configs. For example, if 'foo' has two child configs
        'bar1' and 'bar2', then traversing 'foo' with show_children=True
        generates (foo, with bar1,bar2 as children), (bar1), and (bar2). If
        show_children=False, it generates (foo, without children), (bar1), and
        (bar2).

    Yields:
      DFS on all parameter configs.
    """
    if show_children:
      yield self
    else:
      yield self.clone_without_children
    for child in self.child_parameter_configs:
      yield from child.traverse(show_children)

  def contains(
      self, value: Union[trial.ParameterValueTypes,
                         trial.ParameterValue]) -> bool:
    """Check if the `value` is a valid value for this parameter config."""
    if not isinstance(value, trial.ParameterValue):

      value = trial.ParameterValue(value)