


from __future__ import annotations

import random





class    lowerCAmelCase__				:






						"""simple docstring"""
						__UpperCAmelCase   :		Optional[Any]  					=	6




						def __init__(   self     ):
							lowerCamelCase_			:							Dict      =       list(range(1				,							Dice.NUM_SIDES + 1     )     )




						def 					_UpperCamelCase			(   self     ):
							return random.choice(self.sides     )







def     __magic_name__  (      lowerCAmelCase_      ,					lowerCAmelCase_ = 2):
	'''simple docstring'''


	lowerCamelCase_			:							Optional[Any]      =       [Dice() for i in range(lowerCAmelCase_)]
	lowerCamelCase_			:							Tuple      =       [0] * (len(lowerCAmelCase_) * Dice.NUM_SIDES + 1)
	for _ in range(lowerCAmelCase_):
		count_of_sum[sum(dice.roll() for dice in dices)] += 1
	lowerCamelCase_			:							Dict      =       [round((count * 100) / num_throws      ,					2) for count in count_of_sum]
	return probability[num_dice:]  # remove probability of sums that never appear


if __name__ == "__main__":
							import doctest

							doctest.testmod()





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,
)


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

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

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

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      [
							    '''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:
							__magic_name__       					=      [
							    '''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

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

