
"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
					from .tokenization_big_bird import BigBirdTokenizer
else:
					UpperCAmelCase__   :					List[Any]												=				None

UpperCAmelCase__   :					Optional[int]												=				logging.get_logger(__name__)
UpperCAmelCase__   :					Tuple												=				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase__   :					Optional[Any]												=				{
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    },
    'tokenizer_file': {
        'google/bigbird-roberta-base': (
            'https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'
        ),
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'
        ),
    },
}

UpperCAmelCase__   :					List[str]												=				{
    'google/bigbird-roberta-base': 4_0_9_6,
    'google/bigbird-roberta-large': 4_0_9_6,
    'google/bigbird-base-trivia-itc': 4_0_9_6,
}


UpperCAmelCase__   :					Tuple												=				'▁'



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				__UpperCamelCase   :		str       =     VOCAB_FILES_NAMES
				__UpperCamelCase   :		str       =     PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase   :		Dict       =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase   :		int       =     BigBirdTokenizer
				__UpperCamelCase   :		str       =     ['''input_ids''', '''attention_mask''']
				__UpperCamelCase   :		List[int]       =     []



				def __init__(self     , SCREAMING_SNAKE_CASE__=None     , SCREAMING_SNAKE_CASE__=None     , SCREAMING_SNAKE_CASE__="<unk>"     , SCREAMING_SNAKE_CASE__="<s>"     , SCREAMING_SNAKE_CASE__="</s>"     , SCREAMING_SNAKE_CASE__="<pad>"     , SCREAMING_SNAKE_CASE__="[SEP]"     , SCREAMING_SNAKE_CASE__="[MASK]"     , SCREAMING_SNAKE_CASE__="[CLS]"     , **SCREAMING_SNAKE_CASE__     , )      ->	Tuple:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: List[Any]     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else bos_token
											SCREAMING_SNAKE_CASE__		: List[Any]     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else eos_token
											SCREAMING_SNAKE_CASE__		: List[str]     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else unk_token
											SCREAMING_SNAKE_CASE__		: Tuple     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else pad_token
											SCREAMING_SNAKE_CASE__		: List[str]     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else cls_token
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else sep_token

											# Mask token behave like a normal word, i.e. include the space before it
											SCREAMING_SNAKE_CASE__		: int     =     AddedToken(SCREAMING_SNAKE_CASE__     , lstrip=SCREAMING_SNAKE_CASE__     , rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					) else mask_token

											super().__init__(
											    SCREAMING_SNAKE_CASE__     , tokenizer_file=SCREAMING_SNAKE_CASE__     , bos_token=SCREAMING_SNAKE_CASE__     , eos_token=SCREAMING_SNAKE_CASE__     , unk_token=SCREAMING_SNAKE_CASE__     , sep_token=SCREAMING_SNAKE_CASE__     , pad_token=SCREAMING_SNAKE_CASE__     , cls_token=SCREAMING_SNAKE_CASE__     , mask_token=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__     , )

											SCREAMING_SNAKE_CASE__		: str     =     vocab_file
											SCREAMING_SNAKE_CASE__		: Any     =     False if not self.vocab_file else True



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None					)      ->	List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: str     =     [self.sep_token_id]
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     [self.cls_token_id]
											if token_ids_a is None:
																		return cls + token_ids_a + sep
											return cls + token_ids_a + sep + token_ids_a + sep



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None     , SCREAMING_SNAKE_CASE__ = False					)      ->	List[int]:



											"""simple docstring"""




											if already_has_special_tokens:
																		if token_ids_a is not None:
																									raise ValueError(
																									    """You should not supply a second sequence if the provided sequence of """
																									    """ids is already formatted with special tokens for the model."""					)
																		return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

											if token_ids_a is None:
																		return [1] + ([0] * len(SCREAMING_SNAKE_CASE__					)) + [1]
											return [1] + ([0] * len(SCREAMING_SNAKE_CASE__					)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE__					)) + [1]



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None					)      ->	List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: str     =     [self.sep_token_id]
											SCREAMING_SNAKE_CASE__		: List[Any]     =     [self.cls_token_id]

											if token_ids_a is None:
																		return len(cls + token_ids_a + sep					) * [0]
											return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None					)      ->	Tuple[str]:



											"""simple docstring"""




											if not self.can_save_slow_tokenizer:
																		raise ValueError(
																		    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
																		    """tokenizer."""					)

											if not os.path.isdir(SCREAMING_SNAKE_CASE__					):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
																		return
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     os.path.join(
											    SCREAMING_SNAKE_CASE__     , (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

											if os.path.abspath(self.vocab_file					) != os.path.abspath(SCREAMING_SNAKE_CASE__					):
																		copyfile(self.vocab_file     , SCREAMING_SNAKE_CASE__					)

											return (out_vocab_file,)






"""simple docstring"""




import math
import os
import sys

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     """"""
							try:
														with open(_snake_case     ,"""rb"""		) as binary_file:
																					SCREAMING_SNAKE_CASE__		: str     =     binary_file.read()
														for dat in data:
																					SCREAMING_SNAKE_CASE__		: int     =     f'''{dat:08b}'''
																					result += curr_byte
														return result
							except OSError:
														print("""File not accessible"""		)
														sys.exit()

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case     ,_snake_case		):
							lexicon.pop(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     last_match_id

							if math.loga(_snake_case		).is_integer():
														for curr_key in lexicon:
																					SCREAMING_SNAKE_CASE__		: Optional[int]     =     """0""" + lexicon[curr_key]

							SCREAMING_SNAKE_CASE__		: Tuple     =     bin(_snake_case		)[2:]

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     {"""0""": """0""", """1""": """1"""}
							SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__		: str     =     """""", """"""
							SCREAMING_SNAKE_CASE__		: int     =     len(_snake_case		)

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

														SCREAMING_SNAKE_CASE__		: Dict     =     lexicon[curr_string]
														result += last_match_id
														add_key_to_lexicon(_snake_case     ,_snake_case     ,_snake_case     ,_snake_case		)
														index += 1
														SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     """"""

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

							if curr_string != "":
														SCREAMING_SNAKE_CASE__		: Optional[int]     =     lexicon[curr_string]
														result += last_match_id

							return result

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: str     =     os.path.getsize(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Any     =     bin(_snake_case		)[2:]
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     len(_snake_case		)

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

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     8
							try:
														with open(_snake_case     ,"""wb"""		) as opened_file:
																					SCREAMING_SNAKE_CASE__		: Optional[int]     =     [
																					    to_write[i : i + byte_length]
																					    for i in range(0     ,len(_snake_case		)     ,_snake_case		)
																					]

																					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(_snake_case     ,2		).to_bytes(1     ,byteorder="""big"""		)		)
							except OSError:
														print("""File not accessible"""		)
														sys.exit()

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     read_file_binary(_snake_case		)
							SCREAMING_SNAKE_CASE__		: List[str]     =     compress_data(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     add_file_length(_snake_case     ,_snake_case		)
							write_file_binary(_snake_case     ,_snake_case		)


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




