

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

import regex as re

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


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation

A__										=      logging.get_logger(__name__)

A__										=      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

A__										=      {
    "vocab_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
    },
    "merges_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
    },
}

A__										=      {
    "gpt2": 1024,
    "gpt2-medium": 1024,
    "gpt2-large": 1024,
    "gpt2-xl": 1024,
    "distilgpt2": 1024,
}





@lru_cache()
def 				__a							(       ):
    SCREAMING_SNAKE_CASE__         =    (
        list(range(ord("!"						)			,							ord("~"						) + 1						)						) + list(range(ord("¡"						)			,							ord("¬"						) + 1						)						) + list(range(ord("®"						)			,							ord("ÿ"						) + 1						)						)
    )
    SCREAMING_SNAKE_CASE__         =    bs[:]
    SCREAMING_SNAKE_CASE__         =    0
    for b in range(2**8						):
        if b not in bs:
            bs.append(__A						)
            cs.append(2**8 + n						)
            n += 1
    SCREAMING_SNAKE_CASE__         =    [chr(__A						) for n in cs]
    return dict(zip(__A			,							__A						)						)





def 				__a							(       __A						):
    SCREAMING_SNAKE_CASE__         =    set()
    SCREAMING_SNAKE_CASE__         =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)						)
        SCREAMING_SNAKE_CASE__         =    char
    return pairs







class  UpperCamelCase_      (	_snake_case      ):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__					:			str					    =   VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__					:			Tuple					    =   PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__					:			int					    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__					:			Dict					    =   ["""input_ids""", """attention_mask"""]



  def __init__(						self     :					Any  ,	A_     :					Tuple  ,	A_     :					int  ,	A_     :					List[Any]="replace"  ,	A_     :					List[str]="<|endoftext|>"  ,	A_     :					Optional[Any]="<|endoftext|>"  ,	A_     :					Any="<|endoftext|>"  ,	A_     :					Optional[int]=None  ,	A_     :					List[Any]=False  ,	A_     :					int=False  ,	**A_     :					Tuple  ,	)       ->			Any:
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else bos_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else eos_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else unk_token
      SCREAMING_SNAKE_CASE__         =    AddedToken(lowerCamelCase_  ,	lstrip=lowerCamelCase_  ,	rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_  ,	lowerCamelCase_						) else pad_token
      super().__init__(
          errors=lowerCamelCase_  ,	unk_token=lowerCamelCase_  ,	bos_token=lowerCamelCase_  ,	eos_token=lowerCamelCase_  ,	pad_token=lowerCamelCase_  ,	add_prefix_space=lowerCamelCase_  ,	add_bos_token=lowerCamelCase_  ,	**lowerCamelCase_  ,	)
      SCREAMING_SNAKE_CASE__         =    add_bos_token

      with open(lowerCamelCase_  ,	encoding="utf-8"						) as vocab_handle:
          SCREAMING_SNAKE_CASE__         =    json.load(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    {v: k for k, v in self.encoder.items()}
      SCREAMING_SNAKE_CASE__         =    errors  # how to handle errors in decoding
      SCREAMING_SNAKE_CASE__         =    bytes_to_unicode()
      SCREAMING_SNAKE_CASE__         =    {v: k for k, v in self.byte_encoder.items()}
      with open(lowerCamelCase_  ,	encoding="utf-8"						) as merges_handle:
          SCREAMING_SNAKE_CASE__         =    merges_handle.read().split("\n"						)[1:-1]
      SCREAMING_SNAKE_CASE__         =    [tuple(merge.split()						) for merge in bpe_merges]
      SCREAMING_SNAKE_CASE__         =    dict(zip(lowerCamelCase_  ,	range(len(lowerCamelCase_						)						)						)						)
      SCREAMING_SNAKE_CASE__         =    {}
      SCREAMING_SNAKE_CASE__         =    add_prefix_space

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



  @property
  def   _UpperCamelCase     (						self     :					Optional[int]						)       ->			Tuple:
      return len(self.encoder						)



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



  def   _UpperCamelCase     (						self     :					int  ,	A_     :					Dict						)       ->			List[str]:

      if token in self.cache:
          return self.cache[token]
      SCREAMING_SNAKE_CASE__         =    tuple(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    get_pairs(lowerCamelCase_						)

      if not pairs:
          return token

      while True:
          SCREAMING_SNAKE_CASE__         =    min(lowerCamelCase_  ,	key=lambda A_						: self.bpe_ranks.get(lowerCamelCase_  ,	float("inf"						)						)						)
          if bigram not in self.bpe_ranks:
              break
          SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__         =    bigram
          SCREAMING_SNAKE_CASE__         =    []
          SCREAMING_SNAKE_CASE__         =    0
          while i < len(lowerCamelCase_						):
              try:
                  SCREAMING_SNAKE_CASE__         =    word.index(lowerCamelCase_  ,	lowerCamelCase_						)
              except ValueError:
                  new_word.extend(word[i:]						)
                  break
              else:
                  new_word.extend(word[i:j]						)
                  SCREAMING_SNAKE_CASE__         =    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
          SCREAMING_SNAKE_CASE__         =    tuple(lowerCamelCase_						)
          SCREAMING_SNAKE_CASE__         =    new_word
          if len(lowerCamelCase_						) == 1:
              break
          else:
              SCREAMING_SNAKE_CASE__         =    get_pairs(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    " ".join(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    word
      return word



  def   _UpperCamelCase     (						self     :					Optional[Any]  ,	A_     :					str  ,	A_     :					List[Any]=None						)       ->			Dict:

      if self.add_bos_token:
          SCREAMING_SNAKE_CASE__         =    [self.bos_token_id]
      else:
          SCREAMING_SNAKE_CASE__         =    []

      SCREAMING_SNAKE_CASE__         =    bos_token_ids + token_ids_a

      if token_ids_a is None:
          return output

      return output + bos_token_ids + token_ids_a



  def   _UpperCamelCase     (						self     :					Optional[Any]  ,	A_     :					Tuple  ,	A_     :					Optional[int] = None  ,	A_     :					Optional[Any] = False						)       ->			Tuple:

      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 not self.add_bos_token:
          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_						))
      return [1] + ([0] * len(lowerCamelCase_						)) + [1] + ([0] * len(lowerCamelCase_						))



  def   _UpperCamelCase     (						self     :					Any  ,	A_     :					Dict						)       ->			Union[str, Any]:
      SCREAMING_SNAKE_CASE__         =    []
      for token in re.findall(self.pat  ,	lowerCamelCase_						):
          SCREAMING_SNAKE_CASE__         =    "".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   _UpperCamelCase     (						self     :					Tuple  ,	A_     :					List[str]						)       ->			List[str]:
      return self.encoder.get(lowerCamelCase_  ,	self.encoder.get(self.unk_token						)						)



  def   _UpperCamelCase     (						self     :					Any  ,	A_     :					Union[str, Any]						)       ->			Optional[int]:
      return self.decoder.get(lowerCamelCase_						)



  def   _UpperCamelCase     (						self     :					List[str]  ,	A_     :					Optional[int]						)       ->			Any:
      SCREAMING_SNAKE_CASE__         =    "".join(lowerCamelCase_						)
      SCREAMING_SNAKE_CASE__         =    bytearray([self.byte_decoder[c] for c in text]						).decode("utf-8"  ,	errors=self.errors						)
      return text



  def   _UpperCamelCase     (						self     :					Dict  ,	A_     :					Optional[Any]  ,	A_     :					Optional[Any] = None						)       ->			str:

      if not os.path.isdir(lowerCamelCase_						):
          logger.error(f"Vocabulary path ({save_directory}) should be a directory"						)
          return
      SCREAMING_SNAKE_CASE__         =    os.path.join(
          lowerCamelCase_  ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
      SCREAMING_SNAKE_CASE__         =    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"						)

      SCREAMING_SNAKE_CASE__         =    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 A_						: 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!"						)
                  SCREAMING_SNAKE_CASE__         =    token_index
              writer.write(" ".join(lowerCamelCase_						) + "\n"						)
              index += 1

      return vocab_file, merge_file



  def   _UpperCamelCase     (						self     :					Any  ,	A_     :					Tuple  ,	A_     :					int=False  ,	**A_     :					int						)       ->			Any:
      SCREAMING_SNAKE_CASE__         =    kwargs.pop("add_prefix_space"  ,	self.add_prefix_space						)
      if is_split_into_words or add_prefix_space:
          SCREAMING_SNAKE_CASE__         =    " " + text
      return (text, kwargs)







  def   _UpperCamelCase     (						self     :					List[Any]  ,	A_     :					Union[str, Any]						)       ->			int:
      SCREAMING_SNAKE_CASE__         =    []
      for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(lowerCamelCase_  ,	add_special_tokens=lowerCamelCase_						) + [self.eos_token_id]						)
      if len(lowerCamelCase_						) > self.model_max_length:
          SCREAMING_SNAKE_CASE__         =    input_ids[-self.model_max_length :]
      return input_ids







from typing import Dict, List, Optional, Tuple

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


_lowercase:					int      =						logging.get_logger(__name__)



class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""
	__A		      =				["input_ids", "attention_mask"]




	def __init__(self						,			lowerCamelCase_="[PAD]"						,			lowerCamelCase_="[BOS]"						,			lowerCamelCase_="[EOS]"						,			lowerCamelCase_="[MASK]"						,			lowerCamelCase_="[CLS]"						,			lowerCamelCase_="[SEP]"						,			lowerCamelCase_=2048						,			**lowerCamelCase_						,			):
						"""simple docstring"""

						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else pad_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else bos_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else eos_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else mask_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else cls_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else sep_token

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

						a   	=  2**8  # utf is 8 bits

						# define special tokens dict
						a   	=  {
						    self.pad_token: 0,
						    self.bos_token: 1,
						    self.eos_token: 2,
						    self.mask_token: 3,
						    self.cls_token: 4,
						    self.sep_token: 5,
						}
						a   	=  len(self.special_tokens_encoder						)
						a   	=  {v: k for k, v in self.special_tokens_encoder.items()}




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  self.special_tokens_encoder.copy()
						vocab.update(self.added_tokens_encoder						)
						for i in range(self._utf_vocab_size						):
											a   	=  chr(lowerCamelCase_						)
											a   	=  i + len(self.special_tokens_encoder						)
						return vocab




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return self._utf_vocab_size + self._num_special_tokens




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						,			lowerCamelCase_ = 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_						)

						# normal case: some special tokens
						if token_ids_a is None:
											return [1] + [0] * len(lowerCamelCase_						) + [1]
						return [1] + ([0] * len(lowerCamelCase_						)) + [1] + ([0] * len(lowerCamelCase_						)) + [1]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						else:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  [chr(lowerCamelCase_						) for i in text.encode("utf-8"						)]
						return tokens




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						if token in self.special_tokens_encoder:
											a   	=  self.special_tokens_encoder[token]
						elif token in self.added_tokens_encoder:
											a   	=  self.added_tokens_encoder[token]
						elif len(lowerCamelCase_						) != 1:
											a   	=  self.unk_token_id
						else:
											a   	=  ord(lowerCamelCase_						) + self._num_special_tokens
						return token_id




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						if index in self.special_tokens_decoder:
											a   	=  self.special_tokens_decoder[index]
						elif index in self.added_tokens_decoder:
											a   	=  self.added_tokens_decoder[index]
						else:
											a   	=  chr(index - self._num_special_tokens						)
						return token




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  B""
						for token in tokens:
											if token in self.special_tokens_decoder:
																a   	=  self.special_tokens_decoder[token].encode("utf-8"						)
											elif token in self.added_tokens_decoder:
																a   	=  self.special_tokens_decoder[token].encode("utf-8"						)
											elif token in self.special_tokens_encoder:
																a   	=  token.encode("utf-8"						)
											elif token in self.added_tokens_encoder:
																a   	=  token.encode("utf-8"						)
											else:
																a   	=  bytes([ord(lowerCamelCase_						)]						)
											bstring += tok_string
						a   	=  bstring.decode("utf-8"						,			errors="replace"						)
						return string




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						return ()
