from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE      						=	logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE      						=	{
    "google/mobilenet_v2_1.4_224": "https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json",
    "google/mobilenet_v2_1.0_224": "https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json",
    "google/mobilenet_v2_0.75_160": "https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json",
    "google/mobilenet_v2_0.35_96": "https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}
class SCREAMING_SNAKE_CASE_						(	lowerCAmelCase__						):
   __lowerCAmelCase      =							"""mobilenet_v2"""







   def __init__(			self		:		Any					,					lowerCamelCase_		:		List[str]=3					,					lowerCamelCase_		:		Union[str, Any]=224					,					lowerCamelCase_		:		int=1.0					,					lowerCamelCase_		:		Union[str, Any]=8					,					lowerCamelCase_		:		Optional[Any]=8					,					lowerCamelCase_		:		Optional[Any]=6					,					lowerCamelCase_		:		Dict=32					,					lowerCamelCase_		:		Any=True					,					lowerCamelCase_		:		Optional[int]=True					,					lowerCamelCase_		:		Tuple="relu6"					,					lowerCamelCase_		:		Optional[Any]=True					,					lowerCamelCase_		:		str=0.8					,					lowerCamelCase_		:		int=0.0_2					,					lowerCamelCase_		:		List[str]=0.0_0_1					,					lowerCamelCase_		:		Union[str, Any]=255					,					**lowerCamelCase_		:		Optional[Any]					,					):





    """simple docstring"""


    super().__init__(**__a							)

    if depth_multiplier <= 0:
     raise ValueError("""depth_multiplier must be greater than zero."""							)

    UpperCamelCase          =	num_channels
    UpperCamelCase          =	image_size
    UpperCamelCase          =	depth_multiplier
    UpperCamelCase          =	depth_divisible_by
    UpperCamelCase          =	min_depth
    UpperCamelCase          =	expand_ratio
    UpperCamelCase          =	output_stride
    UpperCamelCase          =	first_layer_is_expansion
    UpperCamelCase          =	finegrained_output
    UpperCamelCase          =	hidden_act
    UpperCamelCase          =	tf_padding
    UpperCamelCase          =	classifier_dropout_prob
    UpperCamelCase          =	initializer_range
    UpperCamelCase          =	layer_norm_eps
    UpperCamelCase          =	semantic_loss_ignore_index





class SCREAMING_SNAKE_CASE_						(	lowerCAmelCase__						):
   __lowerCAmelCase      =							version.parse("""1.11"""						)







   @property
   def 		lowerCamelCase_     (			self		:		Optional[int]							):





    """simple docstring"""


    return OrderedDict([("""pixel_values""", {0: """batch"""})]							)







   @property
   def 		lowerCamelCase_     (			self		:		List[Any]							):





    """simple docstring"""


    if self.task == "image-classification":
     return OrderedDict([("""logits""", {0: """batch"""})]							)
    else:
     return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]							)







   @property
   def 		lowerCamelCase_     (			self		:		List[str]							):





    """simple docstring"""


    return 1E-4




"""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)




