


'''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


__A					:  Tuple											=      logging.get_logger(__name__)


__A					:  str											=      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__A					:  Tuple											=      {
    "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"
        )
    },
}

__A					:  str											=      {"facebook/blenderbot_small-90M": 512}







def 				UpperCamelCase_			(    A__					:   Optional[Any]					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   set()
  lowerCAmelCase_			:      List[str]			=   word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)					)
    lowerCAmelCase_			:      Tuple			=   char

  lowerCAmelCase_			:      Optional[Any]			=   set(A__					)
  return pairs






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					VOCAB_FILES_NAMES
    lowercase    =					PRETRAINED_VOCAB_FILES_MAP
    lowercase    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase    =					['input_ids', 'attention_mask']

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

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

    @property
    def __lowercase   (   self    :  Union[str, Any]		)   ->  int:
      return len(self.encoder		)

    def __lowercase   (   self    :  Any		)   ->  Dict:
      return dict(self.encoder    ,						**self.added_tokens_encoder		)

    def __lowercase   (   self    :  int    ,						lowerCamelCase    :  str		)   ->  str:
      if token in self.cache:
        return self.cache[token]
      lowerCAmelCase_			:      Tuple			=   re.sub("""([.,!?()])"""    ,						R""" \1"""    ,						lowerCamelCase		)
      lowerCAmelCase_			:      Optional[int]			=   re.sub("""(')"""    ,						R""" \1 """    ,						lowerCamelCase		)
      lowerCAmelCase_			:      Optional[Any]			=   re.sub(R"""\s{2,}"""    ,						""" """    ,						lowerCamelCase		)
      if "\n" in token:
        lowerCAmelCase_			:      Tuple			=   token.replace("""\n"""    ,						""" __newln__"""		)

      lowerCAmelCase_			:      Tuple			=   token.split(""" """		)
      lowerCAmelCase_			:      Optional[int]			=   []
      for token in tokens:
        if not len(lowerCamelCase		):
          continue

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

        if not pairs:
          words.append(lowerCamelCase		)
          continue

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

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

            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
          lowerCAmelCase_			:      Union[str, Any]			=   tuple(lowerCamelCase		)
          lowerCAmelCase_			:      Optional[int]			=   new_word
          if len(lowerCamelCase		) == 1:
            break
          else:
            lowerCAmelCase_			:      List[Any]			=   get_pairs(lowerCamelCase		)
        lowerCAmelCase_			:      int			=   """@@ """.join(lowerCamelCase		)
        lowerCAmelCase_			:      Optional[int]			=   word[:-4]

        lowerCAmelCase_			:      Union[str, Any]			=   word
        words.append(lowerCamelCase		)
      return " ".join(lowerCamelCase		)

    def __lowercase   (   self    :  Dict    ,						lowerCamelCase    :  str		)   ->  List[str]:
      lowerCAmelCase_			:      Optional[int]			=   []

      lowerCAmelCase_			:      Union[str, Any]			=   re.findall(R"""\S+\n?"""    ,						lowerCamelCase		)

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

    def __lowercase   (   self    :  int    ,						lowerCamelCase    :  str		)   ->  int:
      lowerCAmelCase_			:      Optional[int]			=   token.lower()
      return self.encoder.get(lowerCamelCase    ,						self.encoder.get(self.unk_token		)		)

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

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  List[str]		)   ->  str:
      lowerCAmelCase_			:      str			=   """ """.join(lowerCamelCase		).replace("""@@ """    ,						""""""		).strip()
      return out_string





    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  str    ,						lowerCamelCase    :  Optional[str] = None		)   ->  Tuple[str]:
      if not os.path.isdir(lowerCamelCase		):
        logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
        return
      lowerCAmelCase_			:      Any			=   os.path.join(
          lowerCamelCase    ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)
      lowerCAmelCase_			:      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"""		)

      lowerCAmelCase_			:      Any			=   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!"""		)
            lowerCAmelCase_			:      List[str]			=   token_index
          writer.write(""" """.join(lowerCamelCase		) + """\n"""		)
          index += 1

      return vocab_file, merge_file







'''simple docstring'''






from statistics import mean, stdev







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   min(A__					)
  lowerCAmelCase_			:      Optional[int]			=   max(A__					)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)							,    A__					) for x in data]







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   mean(A__					)
  lowerCAmelCase_			:      List[Any]			=   stdev(A__					)
  # standardize data
  return [round((x - mu) / (sigma)							,    A__					) for x in data]



