



"""simple docstring"""





import math
import os
import sys




def 	UpperCAmelCase     (		A	:						str       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		''
		try:
				with open(A     ,				'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 	UpperCAmelCase     (		A	:						dict[str, str]     ,				A	:						str     ,				A	:						int     ,				A	:						str       ):

		'''simple docstring'''


		lexicon.pop(A       )
		_UpperCAmelCase							 =		last_match_id

		if math.loga(A       ).is_integer():
				for curr_key in lexicon:
						_UpperCAmelCase							 =		'0' + lexicon[curr_key]

		_UpperCAmelCase							 =		bin(A       )[2:]




def 	UpperCAmelCase     (		A	:						str       ):

		'''simple docstring'''


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

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

				_UpperCAmelCase							 =		lexicon[curr_string]
				result += last_match_id
				add_key_to_lexicon(A     ,				A     ,				A     ,				A       )
				index += 1
				_UpperCAmelCase							 =		''

		while curr_string != "" and curr_string not in lexicon:
				curr_string += "0"

		if curr_string != "":
				_UpperCAmelCase							 =		lexicon[curr_string]
				result += last_match_id

		return result




def 	UpperCAmelCase     (		A	:						str     ,				A	:						str       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		os.path.getsize(A       )
		_UpperCAmelCase							 =		bin(A       )[2:]
		_UpperCAmelCase							 =		len(A       )

		return "0" * (length_length - 1) + file_length_binary + compressed




def 	UpperCAmelCase     (		A	:						str     ,				A	:						str       ):

		'''simple docstring'''


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

						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:
								opened_file.write(int(A     ,				2       ).to_bytes(1     ,				byteorder='big'       )       )
		except OSError:
				print('File not accessible'       )
				sys.exit()




def 	UpperCAmelCase     (		A	:						str     ,				A	:						str       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		read_file_binary(A       )
		_UpperCAmelCase							 =		compress_data(A       )
		_UpperCAmelCase							 =		add_file_length(A     ,				A       )
		write_file_binary(A     ,				A       )


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







"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase  							=					logging.get_logger(__name__)

lowercase  							=					{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}




class 			lowercase__			(      A,					A    ):
							'''simple docstring'''







							_UpperCAmelCase      				=					'''swin'''

							_UpperCAmelCase      				=					{
							    '''num_attention_heads''': '''num_heads''',
							    '''num_hidden_layers''': '''num_layers''',
							}






							def __init__(  self	,       snake_case=224	,       snake_case=4	,       snake_case=3	,       snake_case=96	,       snake_case=[2, 2, 6, 2]	,       snake_case=[3, 6, 12, 24]	,       snake_case=7	,       snake_case=4.0	,       snake_case=True	,       snake_case=0.0	,       snake_case=0.0	,       snake_case=0.1	,       snake_case="gelu"	,       snake_case=False	,       snake_case=0.02	,       snake_case=1E-5	,       snake_case=32	,       snake_case=None	,       snake_case=None	,       **snake_case	,       )			->							List[Any]:
									super().__init__(**snake_case						)

									_UpperCAmelCase							 =		image_size
									_UpperCAmelCase							 =		patch_size
									_UpperCAmelCase							 =		num_channels
									_UpperCAmelCase							 =		embed_dim
									_UpperCAmelCase							 =		depths
									_UpperCAmelCase							 =		len(snake_case						)
									_UpperCAmelCase							 =		num_heads
									_UpperCAmelCase							 =		window_size
									_UpperCAmelCase							 =		mlp_ratio
									_UpperCAmelCase							 =		qkv_bias
									_UpperCAmelCase							 =		hidden_dropout_prob
									_UpperCAmelCase							 =		attention_probs_dropout_prob
									_UpperCAmelCase							 =		drop_path_rate
									_UpperCAmelCase							 =		hidden_act
									_UpperCAmelCase							 =		use_absolute_embeddings
									_UpperCAmelCase							 =		layer_norm_eps
									_UpperCAmelCase							 =		initializer_range
									_UpperCAmelCase							 =		encoder_stride
									# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
									# this indicates the channel dimension after the last stage of the model
									_UpperCAmelCase							 =		int(embed_dim * 2 ** (len(snake_case						) - 1)						)
									_UpperCAmelCase							 =		['stem'] + [f'stage{idx}' for idx in range(1	,       len(snake_case						) + 1						)]
									_UpperCAmelCase ,					_UpperCAmelCase							 =		get_aligned_output_features_output_indices(
									    out_features=snake_case	,       out_indices=snake_case	,       stage_names=self.stage_names						)







class 			lowercase__			(      A    ):
							'''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						)			->							float:
									return 1E-4


