





import math
import sys







def    __lowerCamelCase					(							__a   :str    )		->				str:






		"""simple docstring"""

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







def    __lowerCamelCase					(							__a   :str    )		->				str:






		"""simple docstring"""

		A__        =   {"""0""": """0""", """1""": """1"""}
		A__      ,			A__        =   """""", """"""
		A__        =   len(__a    )

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

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

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

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







def    __lowerCamelCase					(							__a   :str    ,     __a   :str    )		->				None:






		"""simple docstring"""

		A__        =   8
		try:
				with open(__a    ,     """wb"""    ) as opened_file:
						A__        =   [
						    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[:-1]:
								opened_file.write(int(__a    ,     2    ).to_bytes(1    ,     byteorder="""big"""    )    )
		except OSError:
				print("""File not accessible"""    )
				sys.exit()







def    __lowerCamelCase					(							__a   :str    )		->				str:






		"""simple docstring"""

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

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







def    __lowerCamelCase					(							__a   :str    ,     __a   :str    )		->				None:






		"""simple docstring"""

		A__        =   read_file_binary(__a    )
		A__        =   remove_prefix(__a    )
		A__        =   decompress_data(__a    )
		write_file_binary(__a    ,     __a    )


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










from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A    :					Union[str, Any] =      logging.get_logger(__name__)

A    :					int =      {
    '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/config.json''',
    '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/config.json''',
    '''xlm-roberta-large-finetuned-conll02-dutch''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll02-spanish''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-english''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-german''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'''
    ),
}


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			__lowerCamelCase	:       Any							=    '''xlm-roberta'''






			def __init__(			self   :    Optional[Any]							,	__lowerCAmelCase   :    List[Any]=3_05_22							,	__lowerCAmelCase   :    int=7_68							,	__lowerCAmelCase   :    Tuple=12							,	__lowerCAmelCase   :    str=12							,	__lowerCAmelCase   :    Union[str, Any]=30_72							,	__lowerCAmelCase   :    Union[str, Any]="gelu"							,	__lowerCAmelCase   :    Optional[int]=0.1							,	__lowerCAmelCase   :    Dict=0.1							,	__lowerCAmelCase   :    List[str]=5_12							,	__lowerCAmelCase   :    Tuple=2							,	__lowerCAmelCase   :    Dict=0.0_2							,	__lowerCAmelCase   :    List[str]=1e-12							,	__lowerCAmelCase   :    Union[str, Any]=1							,	__lowerCAmelCase   :    str=0							,	__lowerCAmelCase   :    Optional[int]=2							,	__lowerCAmelCase   :    Tuple="absolute"							,	__lowerCAmelCase   :    Any=True							,	__lowerCAmelCase   :    Any=None							,	**__lowerCAmelCase   :    str							,	)	->	Optional[Any]:







					"""simple docstring"""






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

					A__        =   vocab_size
					A__        =   hidden_size
					A__        =   num_hidden_layers
					A__        =   num_attention_heads
					A__        =   hidden_act
					A__        =   intermediate_size
					A__        =   hidden_dropout_prob
					A__        =   attention_probs_dropout_prob
					A__        =   max_position_embeddings
					A__        =   type_vocab_size
					A__        =   initializer_range
					A__        =   layer_norm_eps
					A__        =   position_embedding_type
					A__        =   use_cache
					A__        =   classifier_dropout


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




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







					"""simple docstring"""






					if self.task == "multiple-choice":
							A__        =   {0: """batch""", 1: """choice""", 2: """sequence"""}
					else:
							A__        =   {0: """batch""", 1: """sequence"""}
					return OrderedDict(
					    [
					        ("""input_ids""", dynamic_axis),
					        ("""attention_mask""", dynamic_axis),
					    ]   )



