
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


UpperCAmelCase__				:  Any       					=				logging.get_logger(__name__)

UpperCAmelCase__				:  List[Any]       					=				{
    '''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 			UpperCamelCase_			(						__UpperCamelCase   ):




							'''simple docstring'''

							UpperCamelCase_					   =							"""mobilevit"""
							def __init__(				self     ,						UpperCamelCase=3     ,						UpperCamelCase=2_56     ,						UpperCamelCase=2     ,						UpperCamelCase=[1_44, 1_92, 2_40]     ,						UpperCamelCase=[16, 32, 64, 96, 1_28, 1_60, 6_40]     ,						UpperCamelCase=4     ,						UpperCamelCase=2.0     ,						UpperCamelCase=4.0     ,						UpperCamelCase="silu"     ,						UpperCamelCase=3     ,						UpperCamelCase=32     ,						UpperCamelCase=0.1     ,						UpperCamelCase=0.0     ,						UpperCamelCase=0.1     ,						UpperCamelCase=0.02     ,						UpperCamelCase=1E-5     ,						UpperCamelCase=True     ,						UpperCamelCase=2_56     ,						UpperCamelCase=[6, 12, 18]     ,						UpperCamelCase=0.1     ,						UpperCamelCase=2_55     ,						**UpperCamelCase     ,						) ->	int:
										super().__init__(**UpperCamelCase)

										UpperCamelCase__    :		Tuple     =				num_channels
										UpperCamelCase__    :		Union[str, Any]     =				image_size
										UpperCamelCase__    :		Optional[Any]     =				patch_size
										UpperCamelCase__    :		Dict     =				hidden_sizes
										UpperCamelCase__    :		Union[str, Any]     =				neck_hidden_sizes
										UpperCamelCase__    :		Dict     =				num_attention_heads
										UpperCamelCase__    :		Tuple     =				mlp_ratio
										UpperCamelCase__    :		Union[str, Any]     =				expand_ratio
										UpperCamelCase__    :		str     =				hidden_act
										UpperCamelCase__    :		str     =				conv_kernel_size
										UpperCamelCase__    :		str     =				output_stride
										UpperCamelCase__    :		Optional[Any]     =				hidden_dropout_prob
										UpperCamelCase__    :		List[str]     =				attention_probs_dropout_prob
										UpperCamelCase__    :		List[str]     =				classifier_dropout_prob
										UpperCamelCase__    :		Optional[Any]     =				initializer_range
										UpperCamelCase__    :		Any     =				layer_norm_eps
										UpperCamelCase__    :		Any     =				qkv_bias

										# decode head attributes for semantic segmentation
										UpperCamelCase__    :		Optional[int]     =				aspp_out_channels
										UpperCamelCase__    :		Tuple     =				atrous_rates
										UpperCamelCase__    :		Dict     =				aspp_dropout_prob
										UpperCamelCase__    :		Optional[int]     =				semantic_loss_ignore_index



class 			UpperCamelCase_			(						__UpperCamelCase   ):




							'''simple docstring'''

							UpperCamelCase_					   =							version.parse("""1.11"""   )
							@property
							def        lowerCAmelCase__ (				self) ->	Mapping[str, Mapping[int, str]]:
										return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})])
							@property
							def        lowerCAmelCase__ (				self) ->	Mapping[str, Mapping[int, str]]:
										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) ->	float:
										return 1E-4





import numpy as np

UpperCAmelCase__				:  str       					=				[
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]



class 			UpperCamelCase_			:




							'''simple docstring'''

							def __init__(				self) ->	None:
										UpperCamelCase__    :		Any     =				np.array(UpperCamelCase)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	np.ndarray:
										UpperCamelCase__   ,			UpperCamelCase__    :		Optional[int]     =				np.where(letter == self.SQUARE)
										UpperCamelCase__    :		int     =				np.concatenate([indexa + 1, indexa + 1])
										return indexes
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase) ->	str:
										return self.SQUARE[indexa - 1, indexa - 1]
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		str     =				message.lower()
										UpperCamelCase__    :		int     =				message.replace('j'     ,						'i')

										UpperCamelCase__    :		List[Any]     =				''
										for letter_index in range(len(UpperCamelCase)):
													if message[letter_index] != " ":
																UpperCamelCase__    :		Union[str, Any]     =				self.letter_to_numbers(message[letter_index])
																UpperCamelCase__    :		int     =				encoded_message + str(numbers[0]) + str(numbers[1])
													elif message[letter_index] == " ":
																UpperCamelCase__    :		str     =				encoded_message + ' '

										return encoded_message






							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		Union[str, Any]     =				message.replace(' '     ,						'  ')
										UpperCamelCase__    :		int     =				''
										for numbers_index in range(int(len(UpperCamelCase) / 2)):
													if message[numbers_index * 2] != " ":
																UpperCamelCase__    :		List[str]     =				message[numbers_index * 2]
																UpperCamelCase__    :		Tuple     =				message[numbers_index * 2 + 1]

																UpperCamelCase__    :		Tuple     =				self.numbers_to_letter(int(UpperCamelCase)     ,						int(UpperCamelCase))
																UpperCamelCase__    :		List[str]     =				decoded_message + letter
													elif message[numbers_index * 2] == " ":
																UpperCamelCase__    :		str     =				decoded_message + ' '

										return decoded_message



