
'''simple docstring'''







import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


_lowercase :  Any    							=       logging.getLogger(__name__)






@dataclass
@add_start_docstrings(TrainingArguments.__doc__     )
class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     field(default=lowerCamelCase_    ,						metadata={'''help''': '''Whether to use SortishSampler or not.'''}     )
					lowerCAmelCase_        =     field(
					    default=lowerCamelCase_    ,						metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}     )
					lowerCAmelCase_        =     field(
					    default=lowerCamelCase_    ,						metadata={
					        '''help''': (
					            '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
					            '''to the `max_length` value of the model configuration.'''
					        )
					    }    ,						)
					lowerCAmelCase_        =     field(
					    default=lowerCamelCase_    ,						metadata={
					        '''help''': (
					            '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
					            '''to the `num_beams` value of the model configuration.'''
					        )
					    }    ,						)
					lowerCAmelCase_        =     field(
					    default=lowerCamelCase_    ,						metadata={
					        '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
					    }    ,						)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     List[str]													=       super().to_dict()
											for k, v in d.items():
																	if isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																							lowercase_	:     Any													=       v.to_dict()
											return d





'''simple docstring'''







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: int							):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       int(__SCREAMING_SNAKE_CASE							)
						if decimal in (0, 1):  # Exit cases for the recursion
												return str(__SCREAMING_SNAKE_CASE							)
						lowercase_						, lowercase_	:     List[str]													=       divmod(__SCREAMING_SNAKE_CASE      ,      2							)
						return binary_recursive(__SCREAMING_SNAKE_CASE							) + str(__SCREAMING_SNAKE_CASE							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						lowercase_	:     str													=       str(__SCREAMING_SNAKE_CASE							).strip()
						if not number:
												raise ValueError('''No input value was provided'''							)
						lowercase_	:     Optional[int]													=       '''-''' if number.startswith('''-'''							) else ''''''
						lowercase_	:     Union[str, Any]													=       number.lstrip('''-'''							)
						if not number.isnumeric():
												raise ValueError('''Input value is not an integer'''							)
						return F'''{negative}0b{binary_recursive(int(__SCREAMING_SNAKE_CASE							)							)}'''


if __name__ == "__main__":
							from doctest import testmod

							testmod()



