
'''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


lowercase					:							List[Any]   =      logging.get_logger(__name__)

lowercase					:							Tuple   =      {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}


class 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= """mobilenet_v1"""


							def __init__( self					,     lowerCAmelCase_=3					,     lowerCAmelCase_=2_24					,     lowerCAmelCase_=1.0					,     lowerCAmelCase_=8					,     lowerCAmelCase_="relu6"					,     lowerCAmelCase_=True					,     lowerCAmelCase_=0.999					,     lowerCAmelCase_=0.02					,     lowerCAmelCase_=0.001					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								super().__init__(**lowerCAmelCase_						)

								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     		=	min_depth
								_snake_case     		=	hidden_act
								_snake_case     		=	tf_padding
								_snake_case     		=	classifier_dropout_prob
								_snake_case     		=	initializer_range
								_snake_case     		=	layer_norm_eps


class 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= 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



'''simple docstring'''







lowercase					:							Tuple   =      {
    "a": "AAAAA",
    "b": "AAAAB",
    "c": "AAABA",
    "d": "AAABB",
    "e": "AABAA",
    "f": "AABAB",
    "g": "AABBA",
    "h": "AABBB",
    "i": "ABAAA",
    "j": "BBBAA",
    "k": "ABAAB",
    "l": "ABABA",
    "m": "ABABB",
    "n": "ABBAA",
    "o": "ABBAB",
    "p": "ABBBA",
    "q": "ABBBB",
    "r": "BAAAA",
    "s": "BAAAB",
    "t": "BAABA",
    "u": "BAABB",
    "v": "BBBAB",
    "w": "BABAA",
    "x": "BABAB",
    "y": "BABBA",
    "z": "BABBB",
    " ": " ",
}


lowercase					:							Union[str, Any]   =      {value: key for key, value in encode_dict.items()}







def        SCREAMING_SNAKE_CASE__			(     __A			) ->			str:
	_snake_case     		=	''
	for letter in word.lower():
		if letter.isalpha() or letter == " ":
			encoded += encode_dict[letter]
		else:
			raise Exception('encode() accepts only letters of the alphabet and spaces'			)
	return encoded







def        SCREAMING_SNAKE_CASE__			(     __A			) ->			str:
	if set(__A			) - {"A", "B", " "} != set():
		raise Exception('decode() accepts only \'A\', \'B\' and spaces'			)
	_snake_case     		=	''
	for word in coded.split():
		while len(__A			) != 0:
			decoded += decode_dict[word[:5]]
			_snake_case     		=	word[5:]
		decoded += " "
	return decoded.strip()


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

					testmod()

