


"""simple docstring"""


from typing import TYPE_CHECKING

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


A     :   Optional[int]			    =			{
    "configuration_blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallOnnxConfig",
    ],
    "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   Optional[int]			    =			["BlenderbotSmallTokenizerFast"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   Optional[Any]			    =			[
	    "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "BlenderbotSmallForCausalLM",
	    "BlenderbotSmallForConditionalGeneration",
	    "BlenderbotSmallModel",
	    "BlenderbotSmallPreTrainedModel",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   Optional[Any]			    =			[
	    "TFBlenderbotSmallForConditionalGeneration",
	    "TFBlenderbotSmallModel",
	    "TFBlenderbotSmallPreTrainedModel",
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A     :   int			    =			[
	    "FlaxBlenderbotSmallForConditionalGeneration",
	    "FlaxBlenderbotSmallModel",
	    "FlaxBlenderbotSmallPreTrainedModel",
	]

if TYPE_CHECKING:
	from .configuration_blenderbot_small import (
	    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    BlenderbotSmallConfig,
	    BlenderbotSmallOnnxConfig,
	)
	from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_blenderbot_small import (
		    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BlenderbotSmallForCausalLM,
		    BlenderbotSmallForConditionalGeneration,
		    BlenderbotSmallModel,
		    BlenderbotSmallPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_blenderbot_small import (
		    TFBlenderbotSmallForConditionalGeneration,
		    TFBlenderbotSmallModel,
		    TFBlenderbotSmallPreTrainedModel,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_blenderbot_small import (
		    FlaxBlenderbotSmallForConditionalGeneration,
		    FlaxBlenderbotSmallModel,
		    FlaxBlenderbotSmallPreTrainedModel,
		)

else:
	import sys

	A     :   Dict			    =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








"""simple docstring"""


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			False
			while is_sorted is False:  # Until all the indices are traversed keep looping
						__lowerCAmelCase				    =			True
						for i in range(0    , len(_UpperCamelCase      ) - 1    , 2      ):  # iterating over all even indices
									if input_list[i] > input_list[i + 1]:
												__lowerCAmelCase    ,	__lowerCAmelCase				    =			input_list[i + 1], input_list[i]
												# swapping if elements not in order
												__lowerCAmelCase				    =			False

						for i in range(1    , len(_UpperCamelCase      ) - 1    , 2      ):  # iterating over all odd indices
									if input_list[i] > input_list[i + 1]:
												__lowerCAmelCase    ,	__lowerCAmelCase				    =			input_list[i + 1], input_list[i]
												# swapping if elements not in order
												__lowerCAmelCase				    =			False
			return input_list


if __name__ == "__main__":
	print("Enter list to be sorted")
	A     :   Union[str, Any]			    =			[int(x) for x in input().split()]
	# inputing elements of the list in one line
	A     :   str			    =			odd_even_sort(input_list)
	print("The sorted list is")
	print(sorted_list)




