




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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


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










import math







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







def      _a				(						SCREAMING_SNAKE_CASE_							:    float = 0.1					):
					__lowerCAmelCase           =	3
					__lowerCAmelCase           =	3

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


if __name__ == "__main__":
					import doctest

					doctest.testmod()




