
"""simple docstring"""






import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE							=     logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE							=     {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

__SCREAMING_SNAKE_CASE							=     {
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

__SCREAMING_SNAKE_CASE							=     {
    'allenai/longformer-base-4096': 4_096,
    'allenai/longformer-large-4096': 4_096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_096,
}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def       A_  (				):
 UpperCamelCase_     :					Tuple   	=(
     list(range(ord('!'	)						,	ord('~'	) + 1	)	) + list(range(ord('¡'	)						,	ord('¬'	) + 1	)	) + list(range(ord('®'	)						,	ord('ÿ'	) + 1	)	)
 )
 UpperCamelCase_     :					Optional[int]   	=bs[:]
 UpperCamelCase_     :					List[str]   	=0
 for b in range(2**8	):
  if b not in bs:
   bs.append(__lowercase	)
   cs.append(2**8 + n	)
   n += 1
 UpperCamelCase_     :					Dict   	=[chr(__lowercase	) for n in cs]
 return dict(zip(__lowercase						,	__lowercase	)	)




def       A_  (				__lowercase	):
 UpperCamelCase_     :					Optional[Any]   	=set()
 UpperCamelCase_     :					Dict   	=word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)	)
  UpperCamelCase_     :					Tuple   	=char
 return pairs





class 				a__					(						A__       ):
     UpperCAmelCase__         =      VOCAB_FILES_NAMES
     UpperCAmelCase__         =      PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__         =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__         =      ['''input_ids''', '''attention_mask''']



     def __init__(							self :Dict      ,  _lowerCamelCase :List[Any]      ,  _lowerCamelCase :Any      ,  _lowerCamelCase :Dict="replace"      ,  _lowerCamelCase :List[str]="<s>"      ,  _lowerCamelCase :int="</s>"      ,  _lowerCamelCase :Dict="</s>"      ,  _lowerCamelCase :Optional[int]="<s>"      ,  _lowerCamelCase :Union[str, Any]="<unk>"      ,  _lowerCamelCase :Optional[Any]="<pad>"      ,  _lowerCamelCase :Union[str, Any]="<mask>"      ,  _lowerCamelCase :Tuple=False      ,  **_lowerCamelCase :Tuple      ,  ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else bos_token
      UpperCamelCase_     :					int   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else eos_token
      UpperCamelCase_     :					str   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else sep_token
      UpperCamelCase_     :					Optional[int]   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else cls_token
      UpperCamelCase_     :					Dict   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else unk_token
      UpperCamelCase_     :					str   	=AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase   ) if isinstance(_lowerCamelCase      ,  _lowerCamelCase   ) else pad_token

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

      super().__init__(
          errors=_lowerCamelCase      ,  bos_token=_lowerCamelCase      ,  eos_token=_lowerCamelCase      ,  unk_token=_lowerCamelCase      ,  sep_token=_lowerCamelCase      ,  cls_token=_lowerCamelCase      ,  pad_token=_lowerCamelCase      ,  mask_token=_lowerCamelCase      ,  add_prefix_space=_lowerCamelCase      ,  **_lowerCamelCase      ,  )

      with open(_lowerCamelCase      ,  encoding='utf-8'   ) as vocab_handle:
       UpperCamelCase_     :					Union[str, Any]   	=json.load(_lowerCamelCase   )
      UpperCamelCase_     :					Tuple   	={v: k for k, v in self.encoder.items()}
      UpperCamelCase_     :					Optional[Any]   	=errors  # how to handle errors in decoding
      UpperCamelCase_     :					int   	=bytes_to_unicode()
      UpperCamelCase_     :					Optional[int]   	={v: k for k, v in self.byte_encoder.items()}
      with open(_lowerCamelCase      ,  encoding='utf-8'   ) as merges_handle:
       UpperCamelCase_     :					int   	=merges_handle.read().split('\n'   )[1:-1]
      UpperCamelCase_     :					Optional[Any]   	=[tuple(merge.split()   ) for merge in bpe_merges]
      UpperCamelCase_     :					Any   	=dict(zip(_lowerCamelCase      ,  range(len(_lowerCamelCase   )   )   )   )
      UpperCamelCase_     :					Tuple   	={}
      UpperCamelCase_     :					List[str]   	=add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      UpperCamelCase_     :					List[Any]   	=re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'   )



     @property
     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      return len(self.encoder   )



     def  lowerCamelCase_						(							self :Optional[int]   ):







      '''simple docstring'''



      return dict(self.encoder      ,  **self.added_tokens_encoder   )



     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      if token in self.cache:
       return self.cache[token]
      UpperCamelCase_     :					Dict   	=tuple(_lowerCamelCase   )
      UpperCamelCase_     :					Union[str, Any]   	=get_pairs(_lowerCamelCase   )

      if not pairs:
       return token

      while True:
       UpperCamelCase_     :					int   	=min(_lowerCamelCase      ,  key=lambda _lowerCamelCase   : self.bpe_ranks.get(_lowerCamelCase      ,  float('inf'   )   )   )
       if bigram not in self.bpe_ranks:
        break
       UpperCamelCase_	,     UpperCamelCase_     :					Dict   	=bigram
       UpperCamelCase_     :					str   	=[]
       UpperCamelCase_     :					List[str]   	=0
       while i < len(_lowerCamelCase   ):
        try:
         UpperCamelCase_     :					Union[str, Any]   	=word.index(_lowerCamelCase      ,  _lowerCamelCase   )
        except ValueError:
         new_word.extend(word[i:]   )
         break
        else:
         new_word.extend(word[i:j]   )
         UpperCamelCase_     :					Any   	=j

        if word[i] == first and i < len(_lowerCamelCase   ) - 1 and word[i + 1] == second:
         new_word.append(first + second   )
         i += 2
        else:
         new_word.append(word[i]   )
         i += 1
       UpperCamelCase_     :					Any   	=tuple(_lowerCamelCase   )
       UpperCamelCase_     :					Optional[int]   	=new_word
       if len(_lowerCamelCase   ) == 1:
        break
       else:
        UpperCamelCase_     :					str   	=get_pairs(_lowerCamelCase   )
      UpperCamelCase_     :					Dict   	=' '.join(_lowerCamelCase   )
      UpperCamelCase_     :					Union[str, Any]   	=word
      return word



     def  lowerCamelCase_						(							self :int      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=[]
      for token in re.findall(self.pat      ,  _lowerCamelCase   ):
       UpperCamelCase_     :					Tuple   	=''.join(
           self.byte_encoder[b] for b in token.encode('utf-8'   )   )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
       bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowerCamelCase   ).split(' '   )   )
      return bpe_tokens



     def  lowerCamelCase_						(							self :Any      ,  _lowerCamelCase :str   ):







      '''simple docstring'''



      return self.encoder.get(_lowerCamelCase      ,  self.encoder.get(self.unk_token   )   )



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :List[Any]   ):







      '''simple docstring'''



      return self.decoder.get(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :str      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=''.join(_lowerCamelCase   )
      UpperCamelCase_     :					List[Any]   	=bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'      ,  errors=self.errors   )
      return text



     def  lowerCamelCase_						(							self :List[str]      ,  _lowerCamelCase :str      ,  _lowerCamelCase :Optional[str] = None   ):







      '''simple docstring'''



      if not os.path.isdir(_lowerCamelCase   ):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
       return
      UpperCamelCase_     :					Dict   	=os.path.join(
          _lowerCamelCase      ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
      UpperCamelCase_     :					Optional[Any]   	=os.path.join(
          _lowerCamelCase      ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']   )

      with open(_lowerCamelCase      ,  'w'      ,  encoding='utf-8'   ) as f:
       f.write(json.dumps(self.encoder      ,  indent=2      ,  sort_keys=_lowerCamelCase      ,  ensure_ascii=_lowerCamelCase   ) + '\n'   )

      UpperCamelCase_     :					List[str]   	=0
      with open(_lowerCamelCase      ,  'w'      ,  encoding='utf-8'   ) as writer:
       writer.write('#version: 0.2\n'   )
       for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,  key=lambda _lowerCamelCase   : kv[1]   ):
        if index != token_index:
         logger.warning(
             f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
             ' Please check that the tokenizer is not corrupted!'   )
         UpperCamelCase_     :					List[Any]   	=token_index
        writer.write(' '.join(_lowerCamelCase   ) + '\n'   )
        index += 1

      return vocab_file, merge_file



     def  lowerCamelCase_						(							self :str      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None   ):







      '''simple docstring'''



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



     def  lowerCamelCase_						(							self :str      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None      ,  _lowerCamelCase :bool = False   ):







      '''simple docstring'''



      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=_lowerCamelCase      ,  token_ids_a=_lowerCamelCase      ,  already_has_special_tokens=_lowerCamelCase   )

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



     def  lowerCamelCase_						(							self :Any      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=[self.sep_token_id]
      UpperCamelCase_     :					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 + sep + token_ids_a + sep   ) * [0]




     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :Any      ,  _lowerCamelCase :Optional[int]=False      ,  **_lowerCamelCase :Optional[int]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=kwargs.pop('add_prefix_space'      ,  self.add_prefix_space   )
      if (is_split_into_words or add_prefix_space) and (len(_lowerCamelCase   ) > 0 and not text[0].isspace()):
       UpperCamelCase_     :					List[Any]   	=' ' + text
      return (text, kwargs)


"""simple docstring"""






def       A_  (				__lowercase						,	__lowercase						,	__lowercase	):
 if len(__lowercase	) != len(__lowercase	):
  raise ValueError('The length of profit and weight must be same.'	)
 if max_weight <= 0:
  raise ValueError('max_weight must greater than zero.'	)
 if any(p < 0 for p in profit	):
  raise ValueError('Profit can not be negative.'	)
 if any(w < 0 for w in weight	):
  raise ValueError('Weight can not be negative.'	)

 # List created to store profit gained for the 1kg in case of each weight
 # respectively.  Calculate and append profit/weight for each element.
 UpperCamelCase_     :					int   	=[p / w for p, w in zip(__lowercase						,	__lowercase	)]

 # Creating a copy of the list and sorting profit/weight in ascending order
 UpperCamelCase_     :					Optional[int]   	=sorted(__lowercase	)

 # declaring useful variables
 UpperCamelCase_     :					Optional[int]   	=len(__lowercase	)
 UpperCamelCase_     :					Optional[int]   	=0
 UpperCamelCase_     :					List[Any]   	=0
 UpperCamelCase_     :					Optional[int]   	=0

 # loop till the total weight do not reach max limit e.g. 15 kg and till i<length
 while limit <= max_weight and i < length:
  # flag value for encountered greatest element in sorted_profit_by_weight
  UpperCamelCase_     :					List[str]   	=sorted_profit_by_weight[length - i - 1]
  UpperCamelCase_     :					Optional[Any]   	=profit_by_weight.index(__lowercase	)
  UpperCamelCase_     :					str   	=-1

  # check if the weight encountered is less than the total weight
  # encountered before.
  if max_weight - limit >= weight[index]:
   limit += weight[index]
   # Adding profit gained for the given weight 1 ===
   # weight[index]/weight[index]
   gain += 1 * profit[index]
  else:
   # Since the weight encountered is greater than limit, therefore take the
   # required number of remaining kgs and calculate profit for it.
   # weight remaining / weight[index]
   gain += (max_weight - limit) / weight[index] * profit[index]
   break
  i += 1
 return gain


if __name__ == "__main__":
 print(
     'Input profits, weights, and then max_weight (all positive ints) separated by '
     'spaces.'
 )

 __SCREAMING_SNAKE_CASE							=     [int(x) for x in input('Input profits separated by spaces: ').split()]
 __SCREAMING_SNAKE_CASE							=     [int(x) for x in input('Input weights separated by spaces: ').split()]
 __SCREAMING_SNAKE_CASE							=     int(input('Max weight allowed: '))

 # Function Call
 calc_profit(profit, weight, max_weight)
