


import math
import sys





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	str:


						'''simple docstring'''






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





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	str:


						'''simple docstring'''






						__snake_case				=		{"0": "0", "1": "1"}
						__snake_case		,					__snake_case				=		"", ""
						__snake_case				=		len(_lowerCAmelCase )

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

												__snake_case				=		lexicon[curr_string]
												result += last_match_id
												__snake_case				=		last_match_id + "0"

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

												__snake_case				=		last_match_id + "1"
												index += 1
												__snake_case				=		""
						return result





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	None:


						'''simple docstring'''






						__snake_case				=		8
						try:
												with open(_lowerCAmelCase      ,	"wb" ) as opened_file:
																		__snake_case				=		[
																		    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 	_lowerCAmelCase       (    _lowerCAmelCase )						->	str:


						'''simple docstring'''






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

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





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase )						->	None:


						'''simple docstring'''






						__snake_case				=		read_file_binary(_lowerCAmelCase )
						__snake_case				=		remove_prefix(_lowerCAmelCase )
						__snake_case				=		decompress_data(_lowerCAmelCase )
						write_file_binary(_lowerCAmelCase      ,	_lowerCAmelCase )


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









from ...configuration_utils import PretrainedConfig
from ...utils import logging


A							:					str     						=     logging.get_logger(__name__)

A							:					str     						=     {
    'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/config.json',
    'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/config.json'
    # See all FNet models at https://huggingface.co/models?filter=fnet
}






class     UpperCamelCase(  _a   ):
					snake_case_		:				List[Any]										=	"""fnet"""


					def __init__(						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Dict=3_2_0_0_0     ,    SCREAMING_SNAKE_CASE	:		Optional[int]=7_6_8     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]=1_2     ,    SCREAMING_SNAKE_CASE	:		Any=3_0_7_2     ,    SCREAMING_SNAKE_CASE	:		Tuple="gelu_new"     ,    SCREAMING_SNAKE_CASE	:		Any=0.1     ,    SCREAMING_SNAKE_CASE	:		Dict=5_1_2     ,    SCREAMING_SNAKE_CASE	:		str=4     ,    SCREAMING_SNAKE_CASE	:		Tuple=0.02     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]=1e-1_2     ,    SCREAMING_SNAKE_CASE	:		Dict=False     ,    SCREAMING_SNAKE_CASE	:		int=5_1_2     ,    SCREAMING_SNAKE_CASE	:		str=3     ,    SCREAMING_SNAKE_CASE	:		str=1     ,    SCREAMING_SNAKE_CASE	:		Optional[int]=2     ,    **SCREAMING_SNAKE_CASE	:		List[Any]     ,    )			->	List[Any]:




											'''simple docstring'''

											super().__init__(pad_token_id=SCREAMING_SNAKE_CASE     ,    bos_token_id=SCREAMING_SNAKE_CASE     ,    eos_token_id=SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)

											__snake_case				=		vocab_size
											__snake_case				=		max_position_embeddings
											__snake_case				=		hidden_size
											__snake_case				=		num_hidden_layers
											__snake_case				=		intermediate_size
											__snake_case				=		hidden_act
											__snake_case				=		hidden_dropout_prob
											__snake_case				=		initializer_range
											__snake_case				=		type_vocab_size
											__snake_case				=		layer_norm_eps
											__snake_case				=		use_tpu_fourier_optimizations
											__snake_case				=		tpu_short_seq_length





