






import math
import sys


def __A    (      __lowerCAmelCase	)->  str:





						"""simple docstring"""



						_UpperCAmelCase									=			''
						try:
												with open(__lowerCAmelCase ,		'rb'	) as binary_file:
																		_UpperCAmelCase									=			binary_file.read()
												for dat in data:
																		_UpperCAmelCase									=			F"""{dat:08b}"""
																		result += curr_byte
												return result
						except OSError:
												print('File not accessible'	)
												sys.exit()


def __A    (      __lowerCAmelCase	)->  str:





						"""simple docstring"""



						_UpperCAmelCase									=			{'0': '0', '1': '1'}
						_UpperCAmelCase					, _UpperCAmelCase									=			'', ''
						_UpperCAmelCase									=			len(__lowerCAmelCase	)

						for i in range(len(__lowerCAmelCase	)	):
												curr_string += data_bits[i]
												if curr_string not in lexicon:
																		continue

												_UpperCAmelCase									=			lexicon[curr_string]
												result += last_match_id
												_UpperCAmelCase									=			last_match_id + '0'

												if math.loga(__lowerCAmelCase	).is_integer():
																		_UpperCAmelCase									=			{}
																		for curr_key in list(__lowerCAmelCase	):
																								_UpperCAmelCase									=			lexicon.pop(__lowerCAmelCase	)
																		_UpperCAmelCase									=			new_lex

												_UpperCAmelCase									=			last_match_id + '1'
												index += 1
												_UpperCAmelCase									=			''
						return result


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						_UpperCAmelCase									=			8
						try:
												with open(__lowerCAmelCase ,		'wb'	) as opened_file:
																		_UpperCAmelCase									=			[
																		    to_write[i : i + byte_length]
																		    for i in range(0 ,		len(__lowerCAmelCase	) ,		__lowerCAmelCase	)
																		]

																		if len(result_byte_array[-1]	) % byte_length == 0:
																								result_byte_array.append('10000000'	)
																		else:
																								result_byte_array[-1] += "1" + "0" * (
																								    byte_length - len(result_byte_array[-1]	) - 1
																								)

																		for elem in result_byte_array[:-1]:
																								opened_file.write(int(__lowerCAmelCase ,		2	).to_bytes(1 ,		byteorder='big'	)	)
						except OSError:
												print('File not accessible'	)
												sys.exit()


def __A    (      __lowerCAmelCase	)->  str:





						"""simple docstring"""



						_UpperCAmelCase									=			0
						for letter in data_bits:
												if letter == "1":
																		break
												counter += 1

						_UpperCAmelCase									=			data_bits[counter:]
						_UpperCAmelCase									=			data_bits[counter + 1 :]
						return data_bits


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  None:





						"""simple docstring"""



						_UpperCAmelCase									=			read_file_binary(__lowerCAmelCase	)
						_UpperCAmelCase									=			remove_prefix(__lowerCAmelCase	)
						_UpperCAmelCase									=			decompress_data(__lowerCAmelCase	)
						write_file_binary(__lowerCAmelCase ,		__lowerCAmelCase	)


if __name__ == "__main__":
		compress(sys.argv[1], sys.argv[2])


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     :	List[str]    = logging.get_logger(__name__)

A     :	Optional[int]    = {
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class 			__A( a			):
				snake_case_						   =    '''levit'''




				def __init__(     self		,     _snake_case=224		,     _snake_case=3		,     _snake_case=3		,     _snake_case=2		,     _snake_case=1		,     _snake_case=16		,     _snake_case=[128, 256, 384]		,     _snake_case=[4, 8, 12]		,     _snake_case=[4, 4, 4]		,     _snake_case=[16, 16, 16]		,     _snake_case=0		,     _snake_case=[2, 2, 2]		,     _snake_case=[2, 2, 2]		,     _snake_case=0.02		,     **_snake_case		,     )    ->      Optional[Any]:


								'''simple docstring'''




								super().__init__(**_snake_case				)
								__a										=    image_size
								__a										=    num_channels
								__a										=    kernel_size
								__a										=    stride
								__a										=    padding
								__a										=    hidden_sizes
								__a										=    num_attention_heads
								__a										=    depths
								__a										=    key_dim
								__a										=    drop_path_rate
								__a										=    patch_size
								__a										=    attention_ratio
								__a										=    mlp_ratio
								__a										=    initializer_range
								__a										=    [
								    ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
								    ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
								]







class 			__A( a			):
				snake_case_						   =    version.parse('''1.11'''			)




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Mapping[str, Mapping[int, str]]:


								'''simple docstring'''




								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]				)




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      float:


								'''simple docstring'''




								return 1E-4