


"""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


__snake_case				=				logging.getLogger(__name__)


@dataclass
@add_start_docstrings(TrainingArguments.__doc__ )
class 			__lowerCamelCase     (    a__ ):

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


     def 							_UpperCAmelCase					(					self							)				->							List[Any]:
          _a					= super().to_dict()
          for k, v in d.items():
               if isinstance(SCREAMING_SNAKE_CASE_			, SCREAMING_SNAKE_CASE_							):
                    _a					= v.to_dict()
          return d

import itertools
import math




def 				a						(							snake_case__:					int					):


				'''simple docstring'''

				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(snake_case__					) + 1					)						,   6					):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True




def 				a						(							):


				'''simple docstring'''
				lowercase_       =					2
				while True:
								if is_prime(snake_case__					):
												yield num
								num += 1




def 				a						(							snake_case__:					int = 10_001					):


				'''simple docstring'''
				return next(itertools.islice(prime_generator()						,   nth - 1						,   snake_case__					)					)


if __name__ == "__main__":
						print(f"{solution() = }")




