






"""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:
							_lowerCAmelCase       =				None

_lowerCAmelCase       =				logging.get_logger(__name__)
_lowerCAmelCase       =				{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase       =				{
    "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"
        ),
    },
}

_lowerCAmelCase       =				{
    "google/bigbird-roberta-base": 4_096,
    "google/bigbird-roberta-large": 4_096,
    "google/bigbird-base-trivia-itc": 4_096,
}


_lowerCAmelCase       =				"▁"



class   SCREAMING_SNAKE_CASE	(					_SCREAMING_SNAKE_CASE    ):





	"""simple docstring"""




	_A							:					Union[str, Any] 			=					VOCAB_FILES_NAMES
	_A							:					Tuple 			=					PRETRAINED_VOCAB_FILES_MAP
	_A							:					str 			=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A							:					Union[str, Any] 			=					BigBirdTokenizer
	_A							:					Any 			=					["""input_ids""", """attention_mask"""]
	_A							:					List[int] 			=					[]





	def __init__(self  ,  lowerCAmelCase_=None  ,  lowerCAmelCase_=None  ,  lowerCAmelCase_="<unk>"  ,  lowerCAmelCase_="<s>"  ,  lowerCAmelCase_="</s>"  ,  lowerCAmelCase_="<pad>"  ,  lowerCAmelCase_="[SEP]"  ,  lowerCAmelCase_="[MASK]"  ,  lowerCAmelCase_="[CLS]"  ,  **lowerCAmelCase_  ,  ):
		A_		:    Dict						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else bos_token
		A_		:    Tuple						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else eos_token
		A_		:    List[str]						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else unk_token
		A_		:    str						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else pad_token
		A_		:    Any						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else cls_token
		A_		:    List[str]						     = AddedToken(lowerCAmelCase_  ,  lstrip=lowerCAmelCase_  ,  rstrip=lowerCAmelCase_				) if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				) else sep_token

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

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

		A_		:    str						     = vocab_file
		A_		:    str						     = False if not self.vocab_file else True





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_ = None				):
		A_		:    Optional[int]						     = [self.sep_token_id]
		A_		:    Dict						     = [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  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_ = None  ,  lowerCAmelCase_ = False				):

		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(lowerCAmelCase_				)) + [1]
		return [1] + ([0] * len(lowerCAmelCase_				)) + [1] + ([0] * len(lowerCAmelCase_				)) + [1]





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_ = None				):
		A_		:    int						     = [self.sep_token_id]
		A_		:    int						     = [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  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_ = None				):
		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(lowerCAmelCase_				):
			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
			return
		A_		:    List[Any]						     = os.path.join(
		    lowerCAmelCase_  ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

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

		return (out_vocab_file,)









"""simple docstring"""
import math
import os
import sys






def       __UpperCamelCase						(		snake_case__       ):
	A_		:    Optional[Any]						     = """"""
	try:
		with open(snake_case__ , """rb"""       ) as binary_file:
			A_		:    Union[str, Any]						     = binary_file.read()
		for dat in data:
			A_		:    Dict						     = F"""{dat:08b}"""
			result += curr_byte
		return result
	except OSError:
		print("""File not accessible"""       )
		sys.exit()






def       __UpperCamelCase						(		snake_case__ , snake_case__ , snake_case__ , snake_case__       ):
	lexicon.pop(snake_case__       )
	A_		:    List[str]						     = last_match_id

	if math.loga(snake_case__       ).is_integer():
		for curr_key in lexicon:
			A_		:    Dict						     = """0""" + lexicon[curr_key]

	A_		:    int						     = bin(snake_case__       )[2:]






def       __UpperCamelCase						(		snake_case__       ):
	A_		:    Dict						     = {"""0""": """0""", """1""": """1"""}
	A_     ,  A_		:    Optional[int]						     = """""", """"""
	A_		:    Tuple						     = len(snake_case__       )

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

		A_		:    List[str]						     = lexicon[curr_string]
		result += last_match_id
		add_key_to_lexicon(snake_case__ , snake_case__ , snake_case__ , snake_case__       )
		index += 1
		A_		:    int						     = """"""

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

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

	return result






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Optional[int]						     = os.path.getsize(snake_case__       )
	A_		:    Dict						     = bin(snake_case__       )[2:]
	A_		:    Optional[Any]						     = len(snake_case__       )

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






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Tuple						     = 8
	try:
		with open(snake_case__ , """wb"""       ) as opened_file:
			A_		:    Dict						     = [
			    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       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    List[str]						     = read_file_binary(snake_case__       )
	A_		:    str						     = compress_data(snake_case__       )
	A_		:    int						     = add_file_length(snake_case__ , snake_case__       )
	write_file_binary(snake_case__ , snake_case__       )


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

