

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


A									=  logging.get_logger(__name__)

A									=  {
    '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	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mobilenet_v2"""


			def __init__(     self			,					__UpperCamelCase=3			,					__UpperCamelCase=2_24			,					__UpperCamelCase=1.0			,					__UpperCamelCase=8			,					__UpperCamelCase=8			,					__UpperCamelCase=6			,					__UpperCamelCase=32			,					__UpperCamelCase=True			,					__UpperCamelCase=True			,					__UpperCamelCase="relu6"			,					__UpperCamelCase=True			,					__UpperCamelCase=0.8			,					__UpperCamelCase=0.02			,					__UpperCamelCase=0.001			,					__UpperCamelCase=2_55			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				super().__init__(**__UpperCamelCase				)

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

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







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	version.parse("""1.11"""				)


			@property
			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


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


			@property
			def       __lowerCAmelCase			(     self				):

				"""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				):

				"""simple docstring"""


				return 1E-4



from __future__ import annotations





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if (direction == 1 and array[indexa] > array[indexa]) or (
	    direction == 0 and array[indexa] < array[indexa]
	):
		snake_case_		,							snake_case_   		=			array[indexa], array[indexa]





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if length > 1:
		snake_case_   		=			int(length / 2						)
		for i in range(lowercase__      ,			low + middle						):
			comp_and_swap(lowercase__      ,			lowercase__      ,			i + middle      ,			lowercase__						)
		bitonic_merge(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						)
		bitonic_merge(lowercase__      ,			low + middle      ,			lowercase__      ,			lowercase__						)





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if length > 1:
		snake_case_   		=			int(length / 2						)
		bitonic_sort(lowercase__      ,			lowercase__      ,			lowercase__      ,			1						)
		bitonic_sort(lowercase__      ,			low + middle      ,			lowercase__      ,			0						)
		bitonic_merge(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						)


if __name__ == "__main__":
		A									=  input('Enter numbers separated by a comma:\n').strip()
		A									=  [int(item.strip()) for item in user_input.split(',')]

		bitonic_sort(unsorted, 0, len(unsorted), 1)
		print('\nSorted array in ascending order is: ', end='')
		print(*unsorted, sep=', ')

		bitonic_merge(unsorted, 0, len(unsorted), 0)
		print('Sorted array in descending order is: ', end='')
		print(*unsorted, sep=', ')
