import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


_lowerCamelCase   :				str     			=						logging.getLogger(__name__)


@dataclass
class   lowercase      (       snake_case_       ):
							lowercase__  :    Optional[float]									=							field(
							    default=0.0			,    metadata={"""help""": """The label smoothing epsilon to apply (if not zero)."""}       )
							lowercase__  :    bool									=							field(default=snake_case_			,    metadata={"""help""": """Whether to SortishSamler or not."""}       )
							lowercase__  :    bool									=							field(
							    default=snake_case_			,    metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}       )
							lowercase__  :    bool									=							field(default=snake_case_			,    metadata={"""help""": """whether to use adafactor"""}       )
							lowercase__  :    Optional[float]									=							field(
							    default=snake_case_			,    metadata={"""help""": """Encoder layer dropout probability. Goes into model.config."""}       )
							lowercase__  :    Optional[float]									=							field(
							    default=snake_case_			,    metadata={"""help""": """Decoder layer dropout probability. Goes into model.config."""}       )
							lowercase__  :    Optional[float]									=							field(default=snake_case_			,    metadata={"""help""": """Dropout probability. Goes into model.config."""}       )
							lowercase__  :    Optional[float]									=							field(
							    default=snake_case_			,    metadata={"""help""": """Attention dropout probability. Goes into model.config."""}       )
							lowercase__  :    Optional[str]									=							field(
							    default="""linear"""			,    metadata={"""help""": f'Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()       )}'}			,    )





from __future__ import annotations

from collections.abc import Iterator


class   lowercase      :




							def __init__(  self				:   str		,							_UpperCamelCase				:   int )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    value
												SCREAMING_SNAKE_CASE           =    None
												SCREAMING_SNAKE_CASE           =    None



class   lowercase      :




							def __init__(  self				:   str		,							_UpperCamelCase				:   Node )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    tree




							def 		__snake_case(  self				:   int		,							_UpperCamelCase				:   Node | None )   ->			int:



												'''simple docstring'''

												if node is None:
																	return 0
												return node.value + (
												    self.depth_first_search(node.left ) + self.depth_first_search(node.right )
												)





							def __iter__(  self				:   List[Any] )   ->			Iterator[int]:



												'''simple docstring'''

												yield self.depth_first_search(self.tree )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




