





"""simple docstring"""


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

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


lowerCamelCase__      =      logging.get_logger(__name__)

lowerCamelCase__      =      {
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

lowerCamelCase__      =      {
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

lowerCamelCase__      =      {"stas/tiny-wmt19-en-de": 1024}
lowerCamelCase__      =      {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}




def     lowercase__			(    lowercase_	)    ->						str:




      """simple docstring"""

      _UpperCamelCase					:		Tuple  =				set()
      _UpperCamelCase					:		Tuple  =				word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            _UpperCamelCase					:		Any  =				char
      return pairs




def     lowercase__			(    lowercase_	)    ->						List[str]:




      """simple docstring"""

      _UpperCamelCase					:		Optional[int]  =				text.replace("，"						,","	)
      _UpperCamelCase					:		Optional[Any]  =				re.sub(r"。\s*"						,". "						,lowercase_	)
      _UpperCamelCase					:		Dict  =				text.replace("、"						,","	)
      _UpperCamelCase					:		List[Any]  =				text.replace("”"						,"\""	)
      _UpperCamelCase					:		int  =				text.replace("“"						,"\""	)
      _UpperCamelCase					:		Optional[Any]  =				text.replace("∶"						,":"	)
      _UpperCamelCase					:		Optional[Any]  =				text.replace("："						,":"	)
      _UpperCamelCase					:		Dict  =				text.replace("？"						,"?"	)
      _UpperCamelCase					:		Union[str, Any]  =				text.replace("《"						,"\""	)
      _UpperCamelCase					:		int  =				text.replace("》"						,"\""	)
      _UpperCamelCase					:		Tuple  =				text.replace("）"						,")"	)
      _UpperCamelCase					:		Dict  =				text.replace("！"						,"!"	)
      _UpperCamelCase					:		Tuple  =				text.replace("（"						,"("	)
      _UpperCamelCase					:		str  =				text.replace("；"						,";"	)
      _UpperCamelCase					:		List[str]  =				text.replace("１"						,"1"	)
      _UpperCamelCase					:		str  =				text.replace("」"						,"\""	)
      _UpperCamelCase					:		Optional[int]  =				text.replace("「"						,"\""	)
      _UpperCamelCase					:		Any  =				text.replace("０"						,"0"	)
      _UpperCamelCase					:		Optional[int]  =				text.replace("３"						,"3"	)
      _UpperCamelCase					:		Optional[Any]  =				text.replace("２"						,"2"	)
      _UpperCamelCase					:		int  =				text.replace("５"						,"5"	)
      _UpperCamelCase					:		int  =				text.replace("６"						,"6"	)
      _UpperCamelCase					:		Dict  =				text.replace("９"						,"9"	)
      _UpperCamelCase					:		List[str]  =				text.replace("７"						,"7"	)
      _UpperCamelCase					:		Any  =				text.replace("８"						,"8"	)
      _UpperCamelCase					:		List[str]  =				text.replace("４"						,"4"	)
      _UpperCamelCase					:		List[Any]  =				re.sub(r"．\s*"						,". "						,lowercase_	)
      _UpperCamelCase					:		Dict  =				text.replace("～"						,"~"	)
      _UpperCamelCase					:		Tuple  =				text.replace("’"						,"'"	)
      _UpperCamelCase					:		Optional[Any]  =				text.replace("…"						,"..."	)
      _UpperCamelCase					:		Optional[int]  =				text.replace("━"						,"-"	)
      _UpperCamelCase					:		Dict  =				text.replace("〈"						,"<"	)
      _UpperCamelCase					:		List[Any]  =				text.replace("〉"						,">"	)
      _UpperCamelCase					:		Tuple  =				text.replace("【"						,"["	)
      _UpperCamelCase					:		Union[str, Any]  =				text.replace("】"						,"]"	)
      _UpperCamelCase					:		Optional[int]  =				text.replace("％"						,"%"	)
      return text




def     lowercase__			(    lowercase_	)    ->						Any:




      """simple docstring"""

      _UpperCamelCase					:		Dict  =				[]
      for char in text:
            _UpperCamelCase					:		Dict  =				unicodedata.category(lowercase_	)
            if cat.startswith("C"	):
                  continue
            output.append(lowercase_	)
      return "".join(lowercase_	)



class    __SCREAMING_SNAKE_CASE			(  _UpperCamelCase      ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[Any]		   =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__							:Any		   =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__							:int		   =    PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE__							:Tuple		   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__							:List[str]		   =    ["input_ids", "attention_mask"]

  def __init__(						self      :				Dict    ,      __a      :				Union[str, Any]=None    ,      __a      :				Optional[int]=None    ,      __a      :				Optional[int]=None    ,      __a      :				List[str]=None    ,      __a      :				Optional[Any]=False    ,      __a      :				Dict="<unk>"    ,      __a      :				Union[str, Any]="<s>"    ,      __a      :				Optional[Any]="</s>"    ,      __a      :				Tuple="<pad>"    ,      **__a      :				List[Any]    ,      )						-> Dict:
        super().__init__(
            langs=__a    ,      src_vocab_file=__a    ,      tgt_vocab_file=__a    ,      merges_file=__a    ,      do_lower_case=__a    ,      unk_token=__a    ,      bos_token=__a    ,      sep_token=__a    ,      pad_token=__a    ,      **__a    ,      )

        try:
              import sacremoses
        except ImportError:
              raise ImportError(
                  "You need to install sacremoses to use XLMTokenizer. "
                  "See https://pypi.org/project/sacremoses/ for installation."		)

        _UpperCamelCase					:		int  =				sacremoses

        _UpperCamelCase					:		Dict  =				src_vocab_file
        _UpperCamelCase					:		Union[str, Any]  =				tgt_vocab_file
        _UpperCamelCase					:		Union[str, Any]  =				merges_file
        _UpperCamelCase					:		Union[str, Any]  =				do_lower_case

        # cache of sm.MosesPunctNormalizer instance
        _UpperCamelCase					:		Dict  =				{}
        # cache of sm.MosesTokenizer instance
        _UpperCamelCase					:		Any  =				{}
        _UpperCamelCase					:		Dict  =				{}

        if langs and len(__a		) == 2:
              _UpperCamelCase,     _UpperCamelCase					:		Any  =				langs
        else:
              raise ValueError(
                  F'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
                  "Usually that means that tokenizer can't find a mapping for the given model path "
                  "in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."		)

        with open(__a    ,      encoding="utf-8"		) as src_vocab_handle:
              _UpperCamelCase					:		List[Any]  =				json.load(__a		)
        with open(__a    ,      encoding="utf-8"		) as tgt_vocab_handle:
              _UpperCamelCase					:		Tuple  =				json.load(__a		)
              _UpperCamelCase					:		List[Any]  =				{v: k for k, v in tgt_vocab.items()}
        with open(__a    ,      encoding="utf-8"		) as merges_handle:
              _UpperCamelCase					:		Optional[Any]  =				merges_handle.read().split("\n"		)[:-1]
        _UpperCamelCase					:		List[str]  =				[tuple(merge.split()[:2]		) for merge in merges]
        _UpperCamelCase					:		Dict  =				dict(zip(__a    ,      range(len(__a		)		)		)		)
        _UpperCamelCase					:		Optional[int]  =				{}

  def       __SCREAMING_SNAKE_CASE (						self      :				int		)						-> Dict[str, int]:
        return self.get_src_vocab()

  @property
  def       __SCREAMING_SNAKE_CASE (						self      :				str		)						-> int:
        return self.src_vocab_size

  def       __SCREAMING_SNAKE_CASE (						self      :				List[str]    ,      __a      :				Tuple    ,      __a      :				str		)						-> Optional[Any]:
        if lang not in self.cache_moses_punct_normalizer:
              _UpperCamelCase					:		Any  =				self.sm.MosesPunctNormalizer(lang=__a		)
              _UpperCamelCase					:		str  =				punct_normalizer
        return self.cache_moses_punct_normalizer[lang].normalize(__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Tuple    ,      __a      :				Union[str, Any]    ,      __a      :				Tuple		)						-> Tuple:
        if lang not in self.cache_moses_tokenizer:
              _UpperCamelCase					:		Any  =				self.sm.MosesTokenizer(lang=__a		)
              _UpperCamelCase					:		str  =				moses_tokenizer
        return self.cache_moses_tokenizer[lang].tokenize(
            __a    ,      aggressive_dash_splits=__a    ,      return_str=__a    ,      escape=__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				str    ,      __a      :				str    ,      __a      :				Union[str, Any]		)						-> Union[str, Any]:
        if lang not in self.cache_moses_detokenizer:
              _UpperCamelCase					:		Tuple  =				self.sm.MosesDetokenizer(lang=__a		)
              _UpperCamelCase					:		str  =				moses_detokenizer
        return self.cache_moses_detokenizer[lang].detokenize(__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Tuple    ,      __a      :				int    ,      __a      :				str		)						-> int:
        _UpperCamelCase					:		List[str]  =				replace_unicode_punct(__a		)
        _UpperCamelCase					:		Any  =				self.moses_punct_norm(__a    ,      __a		)
        _UpperCamelCase					:		Any  =				remove_non_printing_char(__a		)
        return text

  @property
  def       __SCREAMING_SNAKE_CASE (						self      :				Optional[Any]		)						-> Optional[Any]:
        return len(self.encoder		)

  @property
  def       __SCREAMING_SNAKE_CASE (						self      :				Optional[Any]		)						-> str:
        return len(self.decoder		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Union[str, Any]		)						-> Optional[Any]:
        return dict(self.encoder    ,      **self.added_tokens_encoder		)

  def       __SCREAMING_SNAKE_CASE (						self      :				str		)						-> List[Any]:
        return dict(self.decoder    ,      **self.added_tokens_decoder		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Optional[int]    ,      __a      :				Dict		)						-> Union[str, Any]:
        _UpperCamelCase					:		Tuple  =				tuple(token[:-1]		) + (token[-1] + "</w>",)
        if token in self.cache:
              return self.cache[token]
        _UpperCamelCase					:		int  =				get_pairs(__a		)

        if not pairs:
              return token + "</w>"

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

                    if word[i] == first and i < len(__a		) - 1 and word[i + 1] == second:
                          new_word.append(first + second		)
                          i += 2
                    else:
                          new_word.append(word[i]		)
                          i += 1
              _UpperCamelCase					:		List[Any]  =				tuple(__a		)
              _UpperCamelCase					:		Optional[Any]  =				new_word
              if len(__a		) == 1:
                    break
              else:
                    _UpperCamelCase					:		int  =				get_pairs(__a		)
        _UpperCamelCase					:		Optional[Any]  =				" ".join(__a		)
        if word == "\n  </w>":
              _UpperCamelCase					:		int  =				"\n</w>"
        _UpperCamelCase					:		Optional[Any]  =				word
        return word

  def       __SCREAMING_SNAKE_CASE (						self      :				List[Any]    ,      __a      :				Union[str, Any]    ,      __a      :				Optional[int]="en"    ,      __a      :				int=False		)						-> Dict:
        _UpperCamelCase					:		Optional[int]  =				self.src_lang

        if self.do_lower_case:
              _UpperCamelCase					:		List[str]  =				text.lower()

        if bypass_tokenizer:
              _UpperCamelCase					:		int  =				text.split()
        else:
              _UpperCamelCase					:		Any  =				self.moses_pipeline(__a    ,      lang=__a		)
              _UpperCamelCase					:		Optional[Any]  =				self.moses_tokenize(__a    ,      lang=__a		)

        _UpperCamelCase					:		Any  =				[]
        for token in text:
              if token:
                    split_tokens.extend(list(self.bpe(__a		).split(" "		)		)		)

        return split_tokens

  def       __SCREAMING_SNAKE_CASE (						self      :				Optional[Any]    ,      __a      :				List[Any]		)						-> List[Any]:
        return self.encoder.get(__a    ,      self.encoder.get(self.unk_token		)		)

  def       __SCREAMING_SNAKE_CASE (						self      :				str    ,      __a      :				Dict		)						-> Optional[Any]:
        return self.decoder.get(__a    ,      self.unk_token		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Dict    ,      __a      :				Union[str, Any]		)						-> Optional[int]:
        _UpperCamelCase					:		Any  =				[t.replace(" "    ,      ""		).replace("</w>"    ,      " "		) for t in tokens]
        _UpperCamelCase					:		List[Any]  =				"".join(__a		).split()
        # detokenize
        _UpperCamelCase					:		Dict  =				self.moses_detokenize(__a    ,      self.tgt_lang		)
        return text

  def       __SCREAMING_SNAKE_CASE (						self      :				Union[str, Any]    ,      __a      :				List[int]    ,      __a      :				Optional[List[int]] = None		)						-> List[int]:
        _UpperCamelCase					:		int  =				[self.sep_token_id]

        # no bos used in fairseq
        if token_ids_a is None:
              return token_ids_a + sep
        return token_ids_a + sep + token_ids_a + sep

  def       __SCREAMING_SNAKE_CASE (						self      :				Union[str, Any]    ,      __a      :				List[int]    ,      __a      :				Optional[List[int]] = None    ,      __a      :				bool = False		)						-> List[int]:

        if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=__a    ,      token_ids_a=__a    ,      already_has_special_tokens=__a		)
        # no bos used in fairseq
        if token_ids_a is not None:
              return ([0] * len(__a		)) + [1] + ([0] * len(__a		)) + [1]
        return ([0] * len(__a		)) + [1]

  def       __SCREAMING_SNAKE_CASE (						self      :				int    ,      __a      :				List[int]    ,      __a      :				Optional[List[int]] = None		)						-> List[int]:
        _UpperCamelCase					:		List[Any]  =				[self.sep_token_id]

        # no bos used in fairseq
        if token_ids_a is None:
              return len(token_ids_a + sep		) * [0]
        return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]

  def       __SCREAMING_SNAKE_CASE (						self      :				Optional[int]    ,      __a      :				str    ,      __a      :				Optional[str] = None		)						-> Tuple[str]:
        if not os.path.isdir(__a		):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
              return

        _UpperCamelCase					:		List[Any]  =				os.path.join(
            __a    ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]		)
        _UpperCamelCase					:		List[Any]  =				os.path.join(
            __a    ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]		)
        _UpperCamelCase					:		str  =				os.path.join(
            __a    ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

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

        with open(__a    ,      "w"    ,      encoding="utf-8"		) as f:
              _UpperCamelCase					:		Optional[Any]  =				{v: k for k, v in self.decoder.items()}
              f.write(json.dumps(__a    ,      indent=2    ,      sort_keys=__a    ,      ensure_ascii=__a		) + "\n"		)

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

        return src_vocab_file, tgt_vocab_file, merges_file

  def __getstate__(						self      :				List[Any]		)						-> Optional[Any]:
        _UpperCamelCase					:		Optional[int]  =				self.__dict__.copy()
        _UpperCamelCase					:		List[str]  =				None
        return state


  def __setstate__(						self      :				Optional[int]    ,      __a      :				int		)						-> List[Any]:
        _UpperCamelCase					:		List[Any]  =				d

        try:
              import sacremoses
        except ImportError:
              raise ImportError(
                  "You need to install sacremoses to use XLMTokenizer. "
                  "See https://pypi.org/project/sacremoses/ for installation."		)

        _UpperCamelCase					:		Optional[Any]  =				sacremoses







"""simple docstring"""


import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_reformer import ReformerTokenizer
else:
  lowerCamelCase__      =      None


lowerCamelCase__      =      logging.get_logger(__name__)


lowerCamelCase__      =      "▁"

lowerCamelCase__      =      {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowerCamelCase__      =      {
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

lowerCamelCase__      =      {
    "google/reformer-crime-and-punishment": 52_4288,
}



class    __SCREAMING_SNAKE_CASE			(  _UpperCamelCase      ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:List[str]		   =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__							:Any		   =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__							:List[Any]		   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__							:List[Any]		   =    ["input_ids", "attention_mask"]
  SCREAMING_SNAKE_CASE__							:str		   =    ReformerTokenizer

  def __init__(						self      :				List[str]    ,      __a      :				str=None    ,      __a      :				List[Any]=None    ,      __a      :				Optional[int]="</s>"    ,      __a      :				str="<unk>"    ,      __a      :				Dict=[]    ,      **__a      :				Tuple    ,      )						-> Optional[int]:
        super().__init__(
            __a    ,      tokenizer_file=__a    ,      eos_token=__a    ,      unk_token=__a    ,      additional_special_tokens=__a    ,      **__a    ,      )

        _UpperCamelCase					:		Dict  =				vocab_file
        _UpperCamelCase					:		Optional[Any]  =				False if not self.vocab_file else True


  def       __SCREAMING_SNAKE_CASE (						self      :				Dict    ,      __a      :				str    ,      __a      :				Optional[str] = None		)						-> Tuple[str]:
        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(__a		):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
              return
        _UpperCamelCase					:		Optional[Any]  =				os.path.join(
            __a    ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

        return (out_vocab_file,)
