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

from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
from ...utils import logging


UpperCamelCase    				=		logging.get_logger(__name__)

UpperCamelCase    				=		{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

UpperCamelCase    				=		{
    '''vocab_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/vocab.json'''},
    '''merges_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/merges.txt'''},
}

UpperCamelCase    				=		{
    '''openai-gpt''': 512,
}

def      lowercase_							(     _lowerCamelCase				:			Union[str, Any]):
    lowercase__					:  Union[str, Any]          =							text.strip()
    if not text:
        return []
    lowercase__					:  Union[str, Any]          =							text.split()
    return tokens



class     snake_case_			(						__A			):






   def __init__( self							:	Optional[Any]      ,		lowercase_							:	int=True      ,		lowercase_							:	List[Any]=None      ,		lowercase_							:	Dict=True      ,		lowercase_							:	int=None      ,		lowercase_							:	Optional[Any]=True      ,		)   ->		List[str]:
       if never_split is None:
           lowercase__					:  Any          =							[]
       lowercase__					:  List[Any]          =							do_lower_case
       lowercase__					:  List[str]          =							set(lowercase_    )
       lowercase__					:  str          =							tokenize_chinese_chars
       lowercase__					:  Dict          =							strip_accents
       lowercase__					:  int          =							do_split_on_punc






   def  __UpperCamelCase	( self							:	Dict      ,		lowercase_							:	Union[str, Any]      ,		lowercase_							:	List[Any]=None    )   ->		Dict:
       lowercase__					:  Dict          =							self.never_split.union(set(lowercase_    )    ) if never_split else self.never_split
       lowercase__					:  Tuple          =							self._clean_text(lowercase_    )

       # This was added on November 1st, 2018 for the multilingual and Chinese
       # models. This is also applied to the English models now, but it doesn't
       # matter since the English models were not trained on any Chinese data
       # and generally don't have any Chinese data in them (there are Chinese
       # characters in the vocabulary because Wikipedia does have some Chinese
       # words in the English Wikipedia.).
       if self.tokenize_chinese_chars:
           lowercase__					:  Union[str, Any]          =							self._tokenize_chinese_chars(lowercase_    )
       # prevents treating the same character with different unicode codepoints as different characters
       lowercase__					:  Optional[Any]          =							unicodedata.normalize("NFC"      ,		lowercase_    )
       lowercase__					:  List[str]          =							whitespace_tokenize(lowercase_    )
       lowercase__					:  List[str]          =							[]
       for token in orig_tokens:
           if token not in never_split:
               if self.do_lower_case:
                   lowercase__					:  Optional[int]          =							token.lower()
                   if self.strip_accents is not False:
                       lowercase__					:  int          =							self._run_strip_accents(lowercase_    )
               elif self.strip_accents:
                   lowercase__					:  int          =							self._run_strip_accents(lowercase_    )
           split_tokens.extend(self._run_split_on_punc(lowercase_      ,		lowercase_    )    )

       lowercase__					:  int          =							whitespace_tokenize(" ".join(lowercase_    )    )
       return output_tokens






   def  __UpperCamelCase	( self							:	Optional[int]      ,		lowercase_							:	Dict    )   ->		Dict:
       lowercase__					:  Dict          =							unicodedata.normalize("NFD"      ,		lowercase_    )
       lowercase__					:  str          =							[]
       for char in text:
           lowercase__					:  List[Any]          =							unicodedata.category(lowercase_    )
           if cat == "Mn":
               continue
           output.append(lowercase_    )
       return "".join(lowercase_    )






   def  __UpperCamelCase	( self							:	List[str]      ,		lowercase_							:	str      ,		lowercase_							:	List[Any]=None    )   ->		int:
       if not self.do_split_on_punc or (never_split is not None and text in never_split):
           return [text]
       lowercase__					:  Any          =							list(lowercase_    )
       lowercase__					:  List[Any]          =							0
       lowercase__					:  List[Any]          =							True
       lowercase__					:  str          =							[]
       while i < len(lowercase_    ):
           lowercase__					:  Tuple          =							chars[i]
           if _is_punctuation(lowercase_    ):
               output.append([char]    )
               lowercase__					:  Optional[int]          =							True
           else:
               if start_new_word:
                   output.append([]    )
               lowercase__					:  Tuple          =							False
               output[-1].append(lowercase_    )
           i += 1

       return ["".join(lowercase_    ) for x in output]






   def  __UpperCamelCase	( self							:	Any      ,		lowercase_							:	List[Any]    )   ->		Tuple:
       lowercase__					:  List[str]          =							[]
       for char in text:
           lowercase__					:  Any          =							ord(lowercase_    )
           if self._is_chinese_char(lowercase_    ):
               output.append(" "    )
               output.append(lowercase_    )
               output.append(" "    )
           else:
               output.append(lowercase_    )
       return "".join(lowercase_    )






   def  __UpperCamelCase	( self							:	Union[str, Any]      ,		lowercase_							:	List[str]    )   ->		Tuple:
       # This defines a "chinese character" as anything in the CJK Unicode block:
       #   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
       #
       # Note that the CJK Unicode block is NOT all Japanese and Korean characters,
       # despite its name. The modern Korean Hangul alphabet is a different block,
       # as is Japanese Hiragana and Katakana. Those alphabets are used to write
       # space-separated words, so they are not treated specially and handled
       # like the all of the other languages.
       if (
           (cp >= 0x4E_00 and cp <= 0x9F_FF)
           or (cp >= 0x34_00 and cp <= 0x4D_BF)  #
           or (cp >= 0x2_00_00 and cp <= 0x2_A6_DF)  #
           or (cp >= 0x2_A7_00 and cp <= 0x2_B7_3F)  #
           or (cp >= 0x2_B7_40 and cp <= 0x2_B8_1F)  #
           or (cp >= 0x2_B8_20 and cp <= 0x2_CE_AF)  #
           or (cp >= 0xF9_00 and cp <= 0xFA_FF)
           or (cp >= 0x2_F8_00 and cp <= 0x2_FA_1F)  #
       ):  #
           return True

       return False







   def  __UpperCamelCase	( self							:	str      ,		lowercase_							:	List[Any]    )   ->		Optional[int]:
       lowercase__					:  Optional[Any]          =							[]
       for char in text:
           lowercase__					:  Optional[int]          =							ord(lowercase_    )
           if cp == 0 or cp == 0xFF_FD or _is_control(lowercase_    ):
               continue
           if _is_whitespace(lowercase_    ):
               output.append(" "    )
           else:
               output.append(lowercase_    )
       return "".join(lowercase_    )



def      lowercase_							(     _lowerCamelCase				:			List[Any]):
    lowercase__					:  str          =							set()
    lowercase__					:  int          =							word[0]
    for char in word[1:]:
        pairs.add((prev_char, char))
        lowercase__					:  str          =							char
    return pairs

def      lowercase_							(     _lowerCamelCase				:			Union[str, Any]):
    lowercase__					:  Optional[Any]          =							text.replace("—"						,      "-")
    lowercase__					:  Tuple          =							text.replace("–"						,      "-")
    lowercase__					:  str          =							text.replace("―"						,      "-")
    lowercase__					:  Optional[int]          =							text.replace("…"						,      "...")
    lowercase__					:  Optional[int]          =							text.replace("´"						,      "'")
    lowercase__					:  List[Any]          =							re.sub(R"(-+|~+|!+|\"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)"						,      R" \1 "						,      _lowerCamelCase)
    lowercase__					:  List[str]          =							re.sub(R"\s*\n\s*"						,      " \n "						,      _lowerCamelCase)
    lowercase__					:  Tuple          =							re.sub(R"[^\S\n]+"						,      " "						,      _lowerCamelCase)
    return text.strip()



class     snake_case_			(						__A			):
   __A      :						Optional[int]   =							VOCAB_FILES_NAMES
   __A      :						List[str]   =							PRETRAINED_VOCAB_FILES_MAP
   __A      :						Tuple   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A      :						List[Any]   =							["input_ids", "attention_mask"]






   def __init__( self							:	Optional[int]      ,		lowercase_							:	List[str]      ,		lowercase_							:	Dict      ,		lowercase_							:	Optional[int]="<unk>"      ,		**lowercase_							:	Dict    )   ->		Optional[Any]:
       super().__init__(unk_token=lowercase_      ,		**lowercase_    )

       try:
           import ftfy
           from spacy.lang.en import English

           lowercase__					:  Optional[Any]          =							English()
           lowercase__					:  str          =							_nlp.tokenizer
           lowercase__					:  Tuple          =							ftfy.fix_text
       except ImportError:
           logger.warning("ftfy or spacy is not installed using BERT BasicTokenizer instead of SpaCy & ftfy."    )
           lowercase__					:  str          =							BasicTokenizer(do_lower_case=lowercase_    )
           lowercase__					:  str          =							None

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






   @property
   def  __UpperCamelCase	( self							:	Union[str, Any]    )   ->		Any:
       return True






   @property
   def  __UpperCamelCase	( self							:	str    )   ->		str:
       return len(self.encoder    )






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






   def  __UpperCamelCase	( self							:	Optional[Any]      ,		lowercase_							:	Dict    )   ->		Any:
       lowercase__					:  List[Any]          =							tuple(token[:-1]    ) + (token[-1] + "</w>",)
       if token in self.cache:
           return self.cache[token]
       lowercase__					:  Optional[Any]          =							get_pairs(lowercase_    )

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

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

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






   def  __UpperCamelCase	( self							:	List[Any]      ,		lowercase_							:	List[Any]    )   ->		Any:
       lowercase__					:  str          =							[]
       if self.fix_text is None:
           # Using BERT's BasicTokenizer
           lowercase__					:  str          =							self.nlp.tokenize(lowercase_    )
           for token in text:
               split_tokens.extend(list(self.bpe(lowercase_    ).split(" "    )    )    )
       else:
           # Using SpaCy & ftfy (original tokenization process of OpenAI GPT)
           lowercase__					:  Tuple          =							self.nlp(text_standardize(self.fix_text(lowercase_    )    )    )
           for token in text:
               split_tokens.extend(list(self.bpe(token.text.lower()    ).split(" "    )    )    )
       return split_tokens






   def  __UpperCamelCase	( self							:	Dict      ,		lowercase_							:	Any    )   ->		str:
       return self.encoder.get(lowercase_      ,		self.encoder.get(self.unk_token    )    )






   def  __UpperCamelCase	( self							:	Optional[int]      ,		lowercase_							:	Any    )   ->		List[str]:
       return self.decoder.get(lowercase_      ,		self.unk_token    )






   def  __UpperCamelCase	( self							:	str      ,		lowercase_							:	Any    )   ->		str:
       lowercase__					:  List[str]          =							"".join(lowercase_    ).replace("</w>"      ,		" "    ).strip()
       return out_string







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

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

       lowercase__					:  Optional[Any]          =							0
       with open(lowercase_      ,		"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 lowercase_    : 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__					:  List[str]          =							token_index
               writer.write(" ".join(lowercase_    ) + "\n"    )
               index += 1

       return vocab_file, merge_file




from transformers import PretrainedConfig



class     snake_case_			(						__A			):
   __A      :						List[Any]   =							"custom"






   def __init__( self							:	Any      ,		lowercase_							:	Optional[int]=1      ,		**lowercase_							:	Any    )   ->		int:
       lowercase__					:  List[Any]          =							attribute
       super().__init__(**lowercase_    )



class     snake_case_			(						__A			):
   __A      :						Optional[int]   =							"custom"






   def __init__( self							:	Tuple      ,		lowercase_							:	str=1      ,		**lowercase_							:	List[Any]    )   ->		Dict:
       lowercase__					:  Union[str, Any]          =							attribute



