
"""simple docstring"""
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


__magic_name__		       =				logging.get_logger(__name__)

__magic_name__		       =				{
    '''apple/mobilevit-small''': '''https://huggingface.co/apple/mobilevit-small/resolve/main/config.json''',
    '''apple/mobilevit-x-small''': '''https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json''',
    '''apple/mobilevit-xx-small''': '''https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json''',
    '''apple/deeplabv3-mobilevit-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-x-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'''
    ),
    '''apple/deeplabv3-mobilevit-xx-small''': (
        '''https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'''
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}


class    _lowerCAmelCase						(						lowerCAmelCase_						):
							lowercase_     :     int       =							'mobilevit'



							def __init__(      self ,						a_=3 ,						a_=256 ,						a_=2 ,						a_=[144, 192, 240] ,						a_=[16, 32, 64, 96, 128, 160, 640] ,						a_=4 ,						a_=2.0 ,						a_=4.0 ,						a_="silu" ,						a_=3 ,						a_=32 ,						a_=0.1 ,						a_=0.0 ,						a_=0.1 ,						a_=0.02 ,						a_=1e-5 ,						a_=True ,						a_=256 ,						a_=[6, 12, 18] ,						a_=0.1 ,						a_=255 ,						**a_ ,						)							->							str:
								super().__init__(**lowerCamelCase_   )

								_UpperCAmelCase =						num_channels
								_UpperCAmelCase =						image_size
								_UpperCAmelCase =						patch_size
								_UpperCAmelCase =						hidden_sizes
								_UpperCAmelCase =						neck_hidden_sizes
								_UpperCAmelCase =						num_attention_heads
								_UpperCAmelCase =						mlp_ratio
								_UpperCAmelCase =						expand_ratio
								_UpperCAmelCase =						hidden_act
								_UpperCAmelCase =						conv_kernel_size
								_UpperCAmelCase =						output_stride
								_UpperCAmelCase =						hidden_dropout_prob
								_UpperCAmelCase =						attention_probs_dropout_prob
								_UpperCAmelCase =						classifier_dropout_prob
								_UpperCAmelCase =						initializer_range
								_UpperCAmelCase =						layer_norm_eps
								_UpperCAmelCase =						qkv_bias

								# decode head attributes for semantic segmentation
								_UpperCAmelCase =						aspp_out_channels
								_UpperCAmelCase =						atrous_rates
								_UpperCAmelCase =						aspp_dropout_prob
								_UpperCAmelCase =						semantic_loss_ignore_index





class    _lowerCAmelCase						(						lowerCAmelCase_						):
							lowercase_     :     List[str]       =							version.parse('''1.11'''						)



							@property
							def       _a   (      self   )							->							Optional[int]:
								return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]   )



							@property
							def       _a   (      self   )							->							Optional[int]:

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



							@property
							def       _a   (      self   )							->							Union[str, Any]:
								return 1e-4






"""simple docstring"""
from .stack import Stack




def     __lowerCamelCase  (		UpperCamelCase__      ):


	"""simple docstring"""






	_UpperCAmelCase =						Stack()
	_UpperCAmelCase =						{"(": ")", "[": "]", "{": "}"}
	for bracket in parentheses:
		if bracket in bracket_pairs:
			stack.push(UpperCamelCase__      )
		elif bracket in (")", "]", "}"):
			if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
				return False
	return stack.is_empty()


if __name__ == "__main__":
			from doctest import testmod

			testmod()

			__magic_name__		       =				['''((()))''', '''((())''', '''(()))''']
			print('''Balanced parentheses demonstration:\n''')
			for example in examples:
						__magic_name__		       =				'''''' if balanced_parentheses(example) else '''not '''
						print(f'''{example} is {not_str}balanced''')




