



from __future__ import annotations


def A    (							__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )    ->   tuple[float, list[float]]:
			A__	  =     list(range(len(__UpperCamelCase       )       )       )
			A__	  =     [v / w for v, w in zip(__UpperCamelCase			,						__UpperCamelCase       )]
			index.sort(key=lambda __UpperCamelCase       : ratio[i]			,						reverse=__UpperCamelCase       )

			A__	  =     0
			A__	  =     [0] * len(__UpperCamelCase       )
			for i in index:
						if weight[i] <= capacity:
									A__	  =     1
									max_value += value[i]
									capacity -= weight[i]
						else:
									A__	  =     capacity / weight[i]
									max_value += value[i] * capacity / weight[i]
									break

			return max_value, fractions


if __name__ == "__main__":
							import doctest

							doctest.testmod()












"""simple docstring"""







import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCAmelCase            =	logging.get_logger(__name__)


_lowerCAmelCase            =	{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

_lowerCAmelCase            =	{
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

_lowerCAmelCase            =	{'facebook/blenderbot_small-90M': 5_12}


def      UpperCamelCase       ( _A )     ->       Dict:
				lowercase    :      Union[str, Any]       = set()
				lowercase    :      Union[str, Any]       = word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								lowercase    :      List[str]       = char

				lowercase    :      Optional[Any]       = set(_A )
				return pairs


class      UpperCamelCase		(__snake_case     ):
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE  : str												=		PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE  : Union[str, Any]												=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE  : Any												=		["""input_ids""", """attention_mask"""]






						def __init__(		self  :Any			, __magic_name__  :Union[str, Any]			, __magic_name__  :str			, __magic_name__  :Union[str, Any]="__start__"			, __magic_name__  :Optional[int]="__end__"			, __magic_name__  :Tuple="__unk__"			, __magic_name__  :Optional[int]="__null__"			, **__magic_name__  :Tuple			, )      ->Tuple:
										super().__init__(unk_token=__magic_name__			, bos_token=__magic_name__			, eos_token=__magic_name__			, pad_token=__magic_name__			, **__magic_name__				)

										with open(__magic_name__			, encoding="""utf-8"""				) as vocab_handle:
														lowercase    :      int       = json.load(__magic_name__				)
										lowercase    :      int       = {v: k for k, v in self.encoder.items()}
										with open(__magic_name__			, encoding="""utf-8"""				) as merges_handle:
														lowercase    :      Any       = merges_handle.read().split("""\n"""				)[1:-1]
										lowercase    :      Union[str, Any]       = [tuple(merge.split()				) for merge in merges]
										lowercase    :      Any       = dict(zip(__magic_name__			, range(len(__magic_name__				)				)				)				)
										lowercase    :      Union[str, Any]       = {}






						@property
						def      __snake_case      (		self  :int				)      ->int:
										return len(self.encoder				)






						def      __snake_case      (		self  :Optional[Any]				)      ->Dict:
										return dict(self.encoder			, **self.added_tokens_encoder				)






						def      __snake_case      (		self  :List[str]			, __magic_name__  :str				)      ->str:
										if token in self.cache:
														return self.cache[token]
										lowercase    :      Dict       = re.sub("""([.,!?()])"""			, r""" \1"""			, __magic_name__				)
										lowercase    :      Tuple       = re.sub("""(')"""			, r""" \1 """			, __magic_name__				)
										lowercase    :      List[str]       = re.sub(r"""\s{2,}"""			, """ """			, __magic_name__				)
										if "\n" in token:
														lowercase    :      int       = token.replace("""\n"""			, """ __newln__"""				)

										lowercase    :      Tuple       = token.split(""" """				)
										lowercase    :      Dict       = []
										for token in tokens:
														if not len(__magic_name__				):
																		continue

														lowercase    :      List[Any]       = token.lower()
														lowercase    :      int       = tuple(__magic_name__				)
														lowercase    :      List[str]       = tuple(list(word[:-1]				) + [word[-1] + """</w>"""]				)
														lowercase    :      List[str]       = get_pairs(__magic_name__				)

														if not pairs:
																		words.append(__magic_name__				)
																		continue

														while True:
																		lowercase    :      Optional[Any]       = min(__magic_name__			, key=lambda __magic_name__				: self.bpe_ranks.get(__magic_name__			, float("""inf"""				)				)				)
																		if bigram not in self.bpe_ranks:
																						break
																		lowercase      ,      lowercase    :      List[str]       = bigram
																		lowercase    :      Dict       = []
																		lowercase    :      Optional[int]       = 0

																		while i < len(__magic_name__				):
																						try:
																										lowercase    :      Optional[Any]       = word.index(__magic_name__			, __magic_name__				)
																										new_word.extend(word[i:j]				)
																										lowercase    :      Union[str, Any]       = j
																						except ValueError:
																										new_word.extend(word[i:]				)
																										break

																						if word[i] == first and i < len(__magic_name__				) - 1 and word[i + 1] == second:
																										new_word.append(first + second				)
																										i += 2
																						else:
																										new_word.append(word[i]				)
																										i += 1
																		lowercase    :      str       = tuple(__magic_name__				)
																		lowercase    :      Optional[Any]       = new_word
																		if len(__magic_name__				) == 1:
																						break
																		else:
																						lowercase    :      List[Any]       = get_pairs(__magic_name__				)
														lowercase    :      int       = """@@ """.join(__magic_name__				)
														lowercase    :      int       = word[:-4]

														lowercase    :      List[str]       = word
														words.append(__magic_name__				)
										return " ".join(__magic_name__				)






						def      __snake_case      (		self  :List[str]			, __magic_name__  :str				)      ->List[str]:
										lowercase    :      str       = []

										lowercase    :      Dict       = re.findall(r"""\S+\n?"""			, __magic_name__				)

										for token in words:
														split_tokens.extend(list(self.bpe(__magic_name__				).split(""" """				)				)				)
										return split_tokens






						def      __snake_case      (		self  :int			, __magic_name__  :str				)      ->int:
										lowercase    :      Tuple       = token.lower()
										return self.encoder.get(__magic_name__			, self.encoder.get(self.unk_token				)				)






						def      __snake_case      (		self  :Tuple			, __magic_name__  :int				)      ->str:
										return self.decoder.get(__magic_name__			, self.unk_token				)






						def      __snake_case      (		self  :Tuple			, __magic_name__  :List[str]				)      ->str:
										lowercase    :      Tuple       = """ """.join(__magic_name__				).replace("""@@ """			, """"""				).strip()
										return out_string






						def      __snake_case      (		self  :List[Any]			, __magic_name__  :str			, __magic_name__  :Optional[str] = None				)      ->Tuple[str]:
										if not os.path.isdir(__magic_name__				):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
														return
										lowercase    :      str       = os.path.join(
										    __magic_name__			, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
										lowercase    :      List[str]       = os.path.join(
										    __magic_name__			, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]				)

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

										lowercase    :      Any       = 0
										with open(__magic_name__			, """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 __magic_name__				: 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!"""				)
																						lowercase    :      Any       = token_index
																		writer.write(""" """.join(__magic_name__				) + """\n"""				)
																		index += 1

										return vocab_file, merge_file
