



"""simple docstring"""
from typing import Dict, List, Optional

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


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


UpperCAmelCase						:		Dict			= {
    "nielsr/canine-s": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
UpperCAmelCase						:		Dict			= 111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
UpperCAmelCase						:		Tuple			= 0

UpperCAmelCase						:		str			= 0xe000
UpperCAmelCase						:		int			= 0xe001
UpperCAmelCase						:		List[str]			= 0xe002
UpperCAmelCase						:		Dict			= 0xe003
UpperCAmelCase						:		str			= 0xe004

# Maps special codepoints to human-readable names.
UpperCAmelCase						:		Dict[int, str]			= {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
UpperCAmelCase						:		Dict[str, int]			= {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

    def __init__(				self			:				Optional[Any] ,  lowerCAmelCase_			:				Optional[Any]=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				Optional[Any]=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				int=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				List[str]=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				Union[str, Any]=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				Dict=chr(lowerCAmelCase_) ,  lowerCAmelCase_			:				Any=False ,  lowerCAmelCase_			:				Union[str, Any]=2_0_4_8 ,  **lowerCAmelCase_			:				List[str] ,  ):







      """simple docstring"""







      lowercase_								= AddedToken(lowerCAmelCase_ ,  lstrip=lowerCAmelCase_ ,  rstrip=lowerCAmelCase_) if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_) else bos_token
      lowercase_								= AddedToken(lowerCAmelCase_ ,  lstrip=lowerCAmelCase_ ,  rstrip=lowerCAmelCase_) if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_) else eos_token
      lowercase_								= AddedToken(lowerCAmelCase_ ,  lstrip=lowerCAmelCase_ ,  rstrip=lowerCAmelCase_) if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_) else sep_token
      lowercase_								= AddedToken(lowerCAmelCase_ ,  lstrip=lowerCAmelCase_ ,  rstrip=lowerCAmelCase_) if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_) else cls_token
      lowercase_								= 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
      lowercase_								= AddedToken(lowerCAmelCase_ ,  lstrip=lowerCAmelCase_ ,  rstrip=lowerCAmelCase_) if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_) else mask_token

      super().__init__(
          bos_token=lowerCAmelCase_ ,  eos_token=lowerCAmelCase_ ,  sep_token=lowerCAmelCase_ ,  cls_token=lowerCAmelCase_ ,  pad_token=lowerCAmelCase_ ,  mask_token=lowerCAmelCase_ ,  add_prefix_space=lowerCAmelCase_ ,  model_max_length=lowerCAmelCase_ ,  **lowerCAmelCase_ ,  )

      # Creates a mapping for looking up the IDs of special symbols.
      lowercase_								= {}
      for codepoint, name in SPECIAL_CODEPOINTS.items():
        lowercase_								= codepoint

      # Creates a mapping for looking up the string forms of special symbol IDs.
      lowercase_								= {
          codepoint: name for name, codepoint in self._special_codepoints.items()
      }

      lowercase_								= UNICODE_VOCAB_SIZE
      lowercase_								= len(self._special_codepoints)

    @property
    def 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      return self._unicode_vocab_size

    def 					_UpperCAmelCase	(				self			:				List[Any] ,  lowerCAmelCase_			:				str):







      """simple docstring"""







      return list(lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  lowerCAmelCase_			:				str):







      """simple docstring"""







      try:
        return ord(lowerCAmelCase_)
      except TypeError:
        raise ValueError(F'''invalid token: \'{token}\'''')

    def 					_UpperCAmelCase	(				self			:				Optional[int] ,  lowerCAmelCase_			:				int):







      """simple docstring"""







      try:
        if index in SPECIAL_CODEPOINTS:
          return SPECIAL_CODEPOINTS[index]
        return chr(lowerCAmelCase_)
      except TypeError:
        raise ValueError(F'''invalid id: {index}''')

    def 					_UpperCAmelCase	(				self			:				List[str] ,  lowerCAmelCase_			:				Optional[Any]):







      """simple docstring"""







      return "".join(lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				Tuple ,  lowerCAmelCase_			:				List[int] ,  lowerCAmelCase_			:				Optional[List[int]] = None):







      """simple docstring"""







      lowercase_								= [self.sep_token_id]
      lowercase_								= [self.cls_token_id]

      lowercase_								= cls + token_ids_a + sep
      if token_ids_a is not None:
        result += token_ids_a + sep
      return result

    def 					_UpperCAmelCase	(				self			:				Tuple ,  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_)

      lowercase_								= [1] + ([0] * len(lowerCAmelCase_)) + [1]
      if token_ids_a is not None:
        result += ([0] * len(lowerCAmelCase_)) + [1]
      return result

    def 					_UpperCAmelCase	(				self			:				Tuple ,  lowerCAmelCase_			:				List[int] ,  lowerCAmelCase_			:				Optional[List[int]] = None):







      """simple docstring"""







      lowercase_								= [self.sep_token_id]
      lowercase_								= [self.cls_token_id]

      lowercase_								= len(cls + token_ids_a + sep) * [0]
      if token_ids_a is not None:
        result += len(token_ids_a + sep) * [1]
      return result




    def 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  lowerCAmelCase_			:				str ,  lowerCAmelCase_			:				Optional[str] = None):







      """simple docstring"""







      return ()






"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCAmelCase						:		List[Any]			= logging.get_logger(__name__)


UpperCAmelCase						:		List[Any]			= "▁"

UpperCAmelCase						:		Union[str, Any]			= {"vocab_file": "spiece.model"}

UpperCAmelCase						:		List[Any]			= {
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    }
}

UpperCAmelCase						:		Optional[Any]			= {
    "google/reformer-crime-and-punishment": 52_4288,
}


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   VOCAB_FILES_NAMES
    lowercase__      =   PRETRAINED_VOCAB_FILES_MAP
    lowercase__      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase__      =   ["input_ids", "attention_mask"]

    def __init__(				self			:				int ,  lowerCAmelCase_			:				Any ,  lowerCAmelCase_			:				Dict="</s>" ,  lowerCAmelCase_			:				Dict="<unk>" ,  lowerCAmelCase_			:				Dict=[] ,  lowerCAmelCase_			:				Optional[Dict[str, Any]] = None ,  **lowerCAmelCase_			:				List[str] ,  ):







      """simple docstring"""







      lowercase_								= {} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          eos_token=lowerCAmelCase_ ,  unk_token=lowerCAmelCase_ ,  additional_special_tokens=lowerCAmelCase_ ,  sp_model_kwargs=self.sp_model_kwargs ,  **lowerCAmelCase_ ,  )

      lowercase_								= vocab_file
      lowercase_								= spm.SentencePieceProcessor(**self.sp_model_kwargs)
      self.sp_model.Load(lowerCAmelCase_)

    @property
    def 					_UpperCAmelCase	(				self			:				List[Any]):







      """simple docstring"""







      return self.sp_model.get_piece_size()

    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= {self.convert_ids_to_tokens(lowerCAmelCase_): i for i in range(self.vocab_size)}
      vocab.update(self.added_tokens_encoder)
      return vocab

    def __getstate__(				self			:				Union[str, Any]):







      """simple docstring"""







      lowercase_								= self.__dict__.copy()
      lowercase_								= None
      return state

    def __setstate__(				self			:				Optional[Any] ,  lowerCAmelCase_			:				int):







      """simple docstring"""







      lowercase_								= d

      # for backward compatibility
      if not hasattr(self ,  """sp_model_kwargs"""):
        lowercase_								= {}

      lowercase_								= spm.SentencePieceProcessor(**self.sp_model_kwargs)
      self.sp_model.Load(self.vocab_file)

    def 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  lowerCAmelCase_			:				str):







      """simple docstring"""







      return self.sp_model.encode(lowerCAmelCase_ ,  out_type=lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				Tuple ,  lowerCAmelCase_			:				List[str]):







      """simple docstring"""







      return self.sp_model.piece_to_id(lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				str ,  lowerCAmelCase_			:				Any):







      """simple docstring"""







      if index < self.sp_model.get_piece_size():
        lowercase_								= self.sp_model.IdToPiece(lowerCAmelCase_)
      return token

    def 					_UpperCAmelCase	(				self			:				int ,  lowerCAmelCase_			:				Any):







      """simple docstring"""







      lowercase_								= []
      lowercase_								= """"""
      for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
          out_string += self.sp_model.decode(lowerCAmelCase_) + token
          lowercase_								= []
        else:
          current_sub_tokens.append(lowerCAmelCase_)
      out_string += self.sp_model.decode(lowerCAmelCase_)
      return out_string.strip()




    def 					_UpperCAmelCase	(				self			:				Optional[int] ,  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
      lowercase_								= os.path.join(
          lowerCAmelCase_ ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

      if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase_) and os.path.isfile(self.vocab_file):
        copyfile(self.vocab_file ,  lowerCAmelCase_)
      elif not os.path.isfile(self.vocab_file):
        with open(lowerCAmelCase_ ,  """wb""") as fi:
          lowercase_								= self.sp_model.serialized_model_proto()
          fi.write(lowerCAmelCase_)

      return (out_vocab_file,)

