



"""simple docstring"""





from typing import TYPE_CHECKING

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


__lowerCAmelCase							:       Tuple          =       {'''configuration_swin''': ['''SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SwinConfig''', '''SwinOnnxConfig''']}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase							:       str          =       [
					    '''SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''SwinForImageClassification''',
					    '''SwinForMaskedImageModeling''',
					    '''SwinModel''',
					    '''SwinPreTrainedModel''',
					    '''SwinBackbone''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase							:       Any          =       [
					    '''TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFSwinForImageClassification''',
					    '''TFSwinForMaskedImageModeling''',
					    '''TFSwinModel''',
					    '''TFSwinPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_swin import (
										    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SwinBackbone,
										    SwinForImageClassification,
										    SwinForMaskedImageModeling,
										    SwinModel,
										    SwinPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_swin import (
										    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFSwinForImageClassification,
										    TFSwinForMaskedImageModeling,
										    TFSwinModel,
										    TFSwinPreTrainedModel,
										)

else:
					import sys

					__lowerCAmelCase							:       Union[str, Any]          =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


'''simple docstring'''


def    lowerCAmelCase       (		UpperCamelCase__					: list							):


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

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


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