






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  :							List[Any]			  =    logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__					)
class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						A     :   bool						=					field(default=SCREAMING_SNAKE_CASE__					,  metadata={'help': 'Whether to use SortishSampler or not.'}					)
						A     :   bool						=					field(
						    default=SCREAMING_SNAKE_CASE__					,  metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}					)
						A     :   Optional[int]						=					field(
						    default=SCREAMING_SNAKE_CASE__					,  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.'
						        )
						    }					,  )
						A     :   Optional[int]						=					field(
						    default=SCREAMING_SNAKE_CASE__					,  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.'
						        )
						    }					,  )
						A     :   Optional[Union[str, Path, GenerationConfig]]						=					field(
						    default=SCREAMING_SNAKE_CASE__					,  metadata={
						        'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
						    }					,  )






						def       _lowerCAmelCase       (	self				) ->				Optional[int]:
								snake_case_				:							int						 =       super().to_dict()
								for k, v in d.items():
										if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				):
												snake_case_				:							Tuple						 =       v.to_dict()
								return d








import math

def      lowerCAmelCase__	(    _a       :			int    ):

		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5  ,      int(math.sqrt(_a    ) + 1    )  ,      6    ):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True

def      lowerCAmelCase__	(    _a       :			float = 0.1    ):
		snake_case_				:							int						 =       3
		snake_case_				:							Optional[Any]						 =       3

		while primes / (2 * j - 1) >= ratio:
				for i in range(j * j + j + 1  ,      (j + 2) * (j + 2)  ,      j + 1    ):
						primes += is_prime(_a    )
				j += 2
		return j


if __name__ == "__main__":
							import doctest

							doctest.testmod()
