


"""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,
)


UpperCamelCase     					=     {
    """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     ["""MarianTokenizer"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     [
				    """MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """MarianForCausalLM""",
				    """MarianModel""",
				    """MarianMTModel""",
				    """MarianPreTrainedModel""",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     ["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     ["""FlaxMarianModel""", """FlaxMarianMTModel""", """FlaxMarianPreTrainedModel"""]

if TYPE_CHECKING:
				from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_marian import MarianTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_marian import (
								    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MarianForCausalLM,
								    MarianModel,
								    MarianMTModel,
								    MarianPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
				import sys

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





"""simple docstring"""






def  lowerCAmelCase_      (_SCREAMING_SNAKE_CASE	:int  )				-> Optional[int]:
						a_							:			List[Any]     		=					len(_SCREAMING_SNAKE_CASE  )
						for _ in range(
						    0		,			int(((no_of_elements - 1) / 2) + 1  )  ):  # we don't need to traverse to end of list as
												for j in range(0		,			no_of_elements - 1  ):
																		if (
																		    lst[j + 1] < lst[j]
																		):  # applying bubble sort algorithm from left to right (or forwards)
																								a_							:			List[str]     		=					lst[j + 1]
																								a_							:			Optional[Any]     		=					lst[j]
																								a_							:			Optional[Any]     		=					temp
																		if (
																		    lst[no_of_elements - 1 - j] < lst[no_of_elements - 2 - j]
																		):  # applying bubble sort algorithm from right to left (or backwards)
																								a_							:			Dict     		=					lst[no_of_elements - 1 - j]
																								a_							:			Dict     		=					lst[no_of_elements - 2 - j]
																								a_							:			Any     		=					temp
						return lst


if __name__ == "__main__":
				print('enter the list to be sorted')
				UpperCamelCase     					=     [int(x) for x in input().split()]  # inputing elements of the list in one line
				UpperCamelCase     					=     double_sort(lst)
				print('the sorted list is')
				print(sorted_lst)




