'''simple docstring'''

import math
import sys
def       __UpperCamelCase	(       UpperCAmelCase					):
       lowercase__    :   List[Any]						= """"""
       try:
              with open(A__		,					'''rb'''					) as binary_file:
                     lowercase__    :   Dict						= binary_file.read()
              for dat in data:
                     lowercase__    :   str						= F"""{dat:08b}"""
                     result += curr_byte
              return result
       except OSError:
              print('''File not accessible'''					)
              sys.exit()
def       __UpperCamelCase	(       UpperCAmelCase					):
       lowercase__    :   Optional[Any]						= {"""0""": """0""", """1""": """1"""}
       lowercase__    :   Any						= """""", """"""
       lowercase__    :   Tuple						= len(A__					)

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

              lowercase__    :   str						= lexicon[curr_string]
              result += last_match_id
              lowercase__    :   Tuple						= last_match_id + """0"""

              if math.loga(A__					).is_integer():
                     lowercase__    :   Optional[Any]						= {}
                     for curr_key in list(A__					):
                            lowercase__    :   Optional[int]						= lexicon.pop(A__					)
                     lowercase__    :   Any						= new_lex

              lowercase__    :   Optional[Any]						= last_match_id + """1"""
              index += 1
              lowercase__    :   Any						= """"""
       return result
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
       lowercase__    :   Tuple						= 8
       try:
              with open(A__		,					'''wb'''					) as opened_file:
                     lowercase__    :   Union[str, Any]						= [
                         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       __UpperCamelCase	(       UpperCAmelCase					):
       lowercase__    :   Optional[Any]						= 0
       for letter in data_bits:
              if letter == "1":
                     break
              counter += 1

       lowercase__    :   Optional[int]						= data_bits[counter:]
       lowercase__    :   List[Any]						= data_bits[counter + 1 :]
       return data_bits
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
       lowercase__    :   Optional[Any]						= read_file_binary(A__					)
       lowercase__    :   List[str]						= remove_prefix(A__					)
       lowercase__    :   Tuple						= decompress_data(A__					)
       write_file_binary(A__		,					A__					)


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


'''simple docstring'''

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation


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

__a:			Tuple	       =       {"""tokenizer_file""": """tokenizer.json"""}

__a:			Union[str, Any]	       =       {
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE 		=   ["input_ids", "attention_mask"]
       SCREAMING_SNAKE_CASE 		=   None

       def __init__(						self     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase="<unk>"     ,       __lowerCAmelCase="<s>"     ,       __lowerCAmelCase="</s>"     ,       __lowerCAmelCase="<pad>"     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=False     ,       **__lowerCAmelCase     ,       )  ->  Union[str, Any]:
        super().__init__(
            __lowerCAmelCase     ,       __lowerCAmelCase     ,       tokenizer_file=__lowerCAmelCase     ,       unk_token=__lowerCAmelCase     ,       bos_token=__lowerCAmelCase     ,       eos_token=__lowerCAmelCase     ,       pad_token=__lowerCAmelCase     ,       add_prefix_space=__lowerCAmelCase     ,       clean_up_tokenization_spaces=__lowerCAmelCase     ,       **__lowerCAmelCase     ,       )
        lowercase__    :   int						= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
        if pre_tok_state.get('''add_prefix_space'''     ,       __lowerCAmelCase			) != add_prefix_space:
         lowercase__    :   int						= getattr(__lowerCAmelCase     ,       pre_tok_state.pop('''type'''			)			)
         lowercase__    :   Tuple						= add_prefix_space
         lowercase__    :   List[str]						= pre_tok_class(**__lowerCAmelCase			)

        lowercase__    :   Union[str, Any]						= add_prefix_space

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  BatchEncoding:
        lowercase__    :   Dict						= kwargs.get('''is_split_into_words'''     ,       __lowerCAmelCase			)
        if not (self.add_prefix_space or not is_split_into_words):
         raise Exception(
             F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
             ''' pretokenized inputs.'''			)

        return super()._batch_encode_plus(*__lowerCAmelCase     ,       **__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  BatchEncoding:
        lowercase__    :   str						= kwargs.get('''is_split_into_words'''     ,       __lowerCAmelCase			)

        if not (self.add_prefix_space or not is_split_into_words):
         raise Exception(
             F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
             ''' pretokenized inputs.'''			)

        return super()._encode_plus(*__lowerCAmelCase     ,       **__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None			)  ->  Tuple[str]:
        lowercase__    :   List[Any]						= self._tokenizer.model.save(__lowerCAmelCase     ,       name=__lowerCAmelCase			)
        return tuple(__lowerCAmelCase			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  List[int]:
        lowercase__    :   Dict						= []
        for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			) + [self.eos_token_id]			)

        if len(__lowerCAmelCase			) > self.model_max_length:
         lowercase__    :   Optional[Any]						= input_ids[-self.model_max_length :]
        return input_ids

