


'''simple docstring'''
def       a				(      __a       )  ->     list:



					'''simple docstring'''






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

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


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



'''simple docstring'''
import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case											=					logging.getLogger(__name__)
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    'masked_bert'




		def __init__(		self   ,       UpperCamelCase_=30522   ,       UpperCamelCase_=768   ,       UpperCamelCase_=12   ,       UpperCamelCase_=12   ,       UpperCamelCase_=3072   ,       UpperCamelCase_="gelu"   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=512   ,       UpperCamelCase_=2   ,       UpperCamelCase_=0.02   ,       UpperCamelCase_=1e-12   ,       UpperCamelCase_=0   ,       UpperCamelCase_="topK"   ,       UpperCamelCase_="constant"   ,       UpperCamelCase_=0.0   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_   ,       **UpperCamelCase_							)

							UpperCamelCase__       :Tuple							 =			vocab_size
							UpperCamelCase__       :Dict							 =			hidden_size
							UpperCamelCase__       :Optional[int]							 =			num_hidden_layers
							UpperCamelCase__       :Any							 =			num_attention_heads
							UpperCamelCase__       :Optional[Any]							 =			hidden_act
							UpperCamelCase__       :str							 =			intermediate_size
							UpperCamelCase__       :List[Any]							 =			hidden_dropout_prob
							UpperCamelCase__       :List[str]							 =			attention_probs_dropout_prob
							UpperCamelCase__       :List[Any]							 =			max_position_embeddings
							UpperCamelCase__       :int							 =			type_vocab_size
							UpperCamelCase__       :List[Any]							 =			initializer_range
							UpperCamelCase__       :Any							 =			layer_norm_eps
							UpperCamelCase__       :str							 =			pruning_method
							UpperCamelCase__       :int							 =			mask_init
							UpperCamelCase__       :Optional[Any]							 =			mask_scale