





# Algorithm for the pigeonhole sorting









def  _SCREAMING_SNAKE_CASE				(   a  )      ->      List[Any]:
					__A	:						List[Any]       =				min(a  )  # min() finds the minimum value
					__A	:						int       =				max(a  )  # max() finds the maximum value

					__A	:						List[str]       =				max_val - min_val + 1  # size is difference of max and min values plus one

					# list of pigeonholes of size equal to the variable size
					__A	:						str       =				[0] * size

					# Populate the pigeonholes.
					for x in a:
										assert isinstance(a					,						a  ), "integers only please"
										holes[x - min_val] += 1

					# Putting the elements back into the array in an order.
					__A	:						Optional[Any]       =				0
					for count in range(a  ):
										while holes[count] > 0:
															holes[count] -= 1
															__A	:						int       =				count + min_val
															i += 1







def  _SCREAMING_SNAKE_CASE				(   )      ->      str:
					__A	:						List[str]       =				[8, 3, 2, 7, 4, 6, 8]
					pigeonhole_sort(a  )
					print('Sorted order is:'					,						' '.join(a  )  )


if __name__ == "__main__":
				main()











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase						:   Any			  =     {
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCAmelCase						:   int			  =     ['''MvpTokenizerFast''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCAmelCase						:   str			  =     [
				    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''MvpForCausalLM''',
				    '''MvpForConditionalGeneration''',
				    '''MvpForQuestionAnswering''',
				    '''MvpForSequenceClassification''',
				    '''MvpModel''',
				    '''MvpPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
				from .tokenization_mvp import MvpTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mvp_fast import MvpTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mvp import (
								    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MvpForCausalLM,
								    MvpForConditionalGeneration,
								    MvpForQuestionAnswering,
								    MvpForSequenceClassification,
								    MvpModel,
								    MvpPreTrainedModel,
								)

else:
				import sys

				UpperCAmelCase						:   List[str]			  =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




