




"""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


SCREAMING_SNAKE_CASE__      						=  logging.getLogger(__name__)



@dataclass
@add_start_docstrings(TrainingArguments.__doc__					)
class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				_lowerCAmelCase     :    bool			  =						field(default=lowerCAmelCase     ,    metadata={"""help""": """Whether to use SortishSampler or not."""}					)
				_lowerCAmelCase     :    bool			  =						field(
				    default=lowerCAmelCase     ,    metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}					)
				_lowerCAmelCase     :    Optional[int]			  =						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     :    Optional[int]			  =						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     :    Optional[Union[str, Path, GenerationConfig]]			  =						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"""

										snake_case								=			super().to_dict()
										for k, v in d.items():
																if isinstance(lowerCAmelCase		,    lowerCAmelCase    ):
																						snake_case								=			v.to_dict()
										return d



"""simple docstring"""
import math





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				bool:





						"""simple docstring"""






						return math.sqrt(_UpperCamelCase					) * math.sqrt(_UpperCamelCase					) == num





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				bool:





						"""simple docstring"""






						snake_case								=			0
						snake_case								=			n
						while left <= right:
												snake_case								=			(left + right) // 2
												if mid**2 == n:
																		return True
												elif mid**2 > n:
																		snake_case								=			mid - 1
												else:
																		snake_case								=			mid + 1
						return False


if __name__ == "__main__":
					import doctest

					doctest.testmod()


