






"""simple docstring"""
from __future__ import annotations

import math
import random





def 							lowercase__		(				lowerCamelCase,	lowerCamelCase,	lowerCamelCase					):
				_SCREAMING_SNAKE_CASE      :		Optional[int]							=						d * e - 1
				_SCREAMING_SNAKE_CASE      :		Tuple							=						0
				_SCREAMING_SNAKE_CASE      :		Tuple							=						0
				while p == 0:
								_SCREAMING_SNAKE_CASE      :		Tuple							=						random.randint(2,	n - 1					)
								_SCREAMING_SNAKE_CASE      :		int							=						k
								while True:
												if t % 2 == 0:
																_SCREAMING_SNAKE_CASE      :		Dict							=						t // 2
																_SCREAMING_SNAKE_CASE      :		str							=						(g**t) % n
																_SCREAMING_SNAKE_CASE      :		Dict							=						math.gcd(x - 1,	lowerCamelCase					)
																if x > 1 and y > 1:
																				_SCREAMING_SNAKE_CASE      :		Any							=						y
																				_SCREAMING_SNAKE_CASE      :		str							=						n // y
																				break  # find the correct factors
												else:
																break  # t is not divisible by 2, break and choose another g
				return sorted([p, q]					)


if __name__ == "__main__":
			import doctest

			doctest.testmod()









"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__							= {
    'configuration_big_bird': ['BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BigBirdConfig', 'BigBirdOnnxConfig'],
}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__							= ['BigBirdTokenizer']

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__							= ['BigBirdTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__							= [
			    'BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'BigBirdForCausalLM',
			    'BigBirdForMaskedLM',
			    'BigBirdForMultipleChoice',
			    'BigBirdForPreTraining',
			    'BigBirdForQuestionAnswering',
			    'BigBirdForSequenceClassification',
			    'BigBirdForTokenClassification',
			    'BigBirdLayer',
			    'BigBirdModel',
			    'BigBirdPreTrainedModel',
			    'load_tf_weights_in_big_bird',
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__							= [
			    'FlaxBigBirdForCausalLM',
			    'FlaxBigBirdForMaskedLM',
			    'FlaxBigBirdForMultipleChoice',
			    'FlaxBigBirdForPreTraining',
			    'FlaxBigBirdForQuestionAnswering',
			    'FlaxBigBirdForSequenceClassification',
			    'FlaxBigBirdForTokenClassification',
			    'FlaxBigBirdModel',
			    'FlaxBigBirdPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig, BigBirdOnnxConfig

			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_big_bird import BigBirdTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_big_bird_fast import BigBirdTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_big_bird import (
						    BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
						    BigBirdForCausalLM,
						    BigBirdForMaskedLM,
						    BigBirdForMultipleChoice,
						    BigBirdForPreTraining,
						    BigBirdForQuestionAnswering,
						    BigBirdForSequenceClassification,
						    BigBirdForTokenClassification,
						    BigBirdLayer,
						    BigBirdModel,
						    BigBirdPreTrainedModel,
						    load_tf_weights_in_big_bird,
						)

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_big_bird import (
						    FlaxBigBirdForCausalLM,
						    FlaxBigBirdForMaskedLM,
						    FlaxBigBirdForMultipleChoice,
						    FlaxBigBirdForPreTraining,
						    FlaxBigBirdForQuestionAnswering,
						    FlaxBigBirdForSequenceClassification,
						    FlaxBigBirdForTokenClassification,
						    FlaxBigBirdModel,
						    FlaxBigBirdPreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase__							= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

