




'''simple docstring'''
def     snake_case_  (       a__		:     str      ):



    """simple docstring"""




    __lowercase          =						[]
    __lowercase          =						1

    for i in range(len(a__      )      ):
        if i + 1 < len(a__      ) and text[i] == text[i + 1]:
            count += 1
        else:
            encoded.append((text[i], count)      )
            __lowercase          =						1

    return encoded
def     snake_case_  (       a__		:     list      ):



    """simple docstring"""




    return "".join(char * length for char, length in encoded      )


if __name__ == "__main__":
  from doctest import testmod

  testmod(name="""run_length_encode""", verbose=True)
  testmod(name="""run_length_decode""", verbose=True)










'''simple docstring'''
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


A							:				int			     =	logging.get_logger(__name__)

A							:				List[Any]			     =	{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

A							:				Tuple			     =	{
    """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"""},
}

A							:				Any			     =	{
    """openai-gpt""": 512,
}
def     snake_case_  (       a__		:     List[str]      ):



    """simple docstring"""




    __lowercase          =						text.strip()
    if not text:
        return []
    __lowercase          =						text.split()
    return tokens






class 	SCREAMING_SNAKE_CASE(    __A					):

       def __init__(   self ,		lowerCamelCase__=True ,		lowerCamelCase__=None ,		lowerCamelCase__=True ,		lowerCamelCase__=None ,		lowerCamelCase__=True ,		)   -> Optional[Any]:

           """simple docstring"""



           if never_split is None:
               __lowercase          =						[]
           __lowercase          =						do_lower_case
           __lowercase          =						set(lowerCamelCase__					)
           __lowercase          =						tokenize_chinese_chars
           __lowercase          =						strip_accents
           __lowercase          =						do_split_on_punc

       def    snake_case__      (   self ,		lowerCamelCase__ ,		lowerCamelCase__=None					)   -> Optional[Any]:

           """simple docstring"""



           __lowercase          =						self.never_split.union(set(lowerCamelCase__					)					) if never_split else self.never_split
           __lowercase          =						self._clean_text(lowerCamelCase__					)

           # 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          =						self._tokenize_chinese_chars(lowerCamelCase__					)
           # prevents treating the same character with different unicode codepoints as different characters
           __lowercase          =						unicodedata.normalize("""NFC""" ,		lowerCamelCase__					)
           __lowercase          =						whitespace_tokenize(lowerCamelCase__					)
           __lowercase          =						[]
           for token in orig_tokens:
               if token not in never_split:
                   if self.do_lower_case:
                       __lowercase          =						token.lower()
                       if self.strip_accents is not False:
                           __lowercase          =						self._run_strip_accents(lowerCamelCase__					)
                   elif self.strip_accents:
                       __lowercase          =						self._run_strip_accents(lowerCamelCase__					)
               split_tokens.extend(self._run_split_on_punc(lowerCamelCase__ ,		lowerCamelCase__					)					)

           __lowercase          =						whitespace_tokenize(""" """.join(lowerCamelCase__					)					)
           return output_tokens

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> Any:

           """simple docstring"""



           __lowercase          =						unicodedata.normalize("""NFD""" ,		lowerCamelCase__					)
           __lowercase          =						[]
           for char in text:
               __lowercase          =						unicodedata.category(lowerCamelCase__					)
               if cat == "Mn":
                   continue
               output.append(lowerCamelCase__					)
           return "".join(lowerCamelCase__					)

       def    snake_case__      (   self ,		lowerCamelCase__ ,		lowerCamelCase__=None					)   -> Optional[int]:

           """simple docstring"""



           if not self.do_split_on_punc or (never_split is not None and text in never_split):
               return [text]
           __lowercase          =						list(lowerCamelCase__					)
           __lowercase          =						0
           __lowercase          =						True
           __lowercase          =						[]
           while i < len(lowerCamelCase__					):
               __lowercase          =						chars[i]
               if _is_punctuation(lowerCamelCase__					):
                   output.append([char]					)
                   __lowercase          =						True
               else:
                   if start_new_word:
                       output.append([]					)
                   __lowercase          =						False
                   output[-1].append(lowerCamelCase__					)
               i += 1

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

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> Any:

           """simple docstring"""



           __lowercase          =						[]
           for char in text:
               __lowercase          =						ord(lowerCamelCase__					)
               if self._is_chinese_char(lowerCamelCase__					):
                   output.append(""" """					)
                   output.append(lowerCamelCase__					)
                   output.append(""" """					)
               else:
                   output.append(lowerCamelCase__					)
           return "".join(lowerCamelCase__					)

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> Tuple:

           """simple docstring"""



           if (
               (cp >= 0X4_e00 and cp <= 0X9_fff)
               or (cp >= 0X3_400 and cp <= 0X4_dbf)  #
               or (cp >= 0X20_000 and cp <= 0X2a_6df)  #
               or (cp >= 0X2a_700 and cp <= 0X2b_73f)  #
               or (cp >= 0X2b_740 and cp <= 0X2b_81f)  #
               or (cp >= 0X2b_820 and cp <= 0X2c_eaf)  #
               or (cp >= 0Xf_900 and cp <= 0Xf_aff)
               or (cp >= 0X2f_800 and cp <= 0X2f_a1f)  #
           ):  #
               return True

           return False




       def    snake_case__      (   self ,		lowerCamelCase__					)   -> str:

           """simple docstring"""



           __lowercase          =						[]
           for char in text:
               __lowercase          =						ord(lowerCamelCase__					)
               if cp == 0 or cp == 0Xf_ffd or _is_control(lowerCamelCase__					):
                   continue
               if _is_whitespace(lowerCamelCase__					):
                   output.append(""" """					)
               else:
                   output.append(lowerCamelCase__					)
           return "".join(lowerCamelCase__					)

def     snake_case_  (       a__		:     List[Any]      ):



    """simple docstring"""




    __lowercase          =						set()
    __lowercase          =						word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)      )
        __lowercase          =						char
    return pairs
def     snake_case_  (       a__		:     Union[str, Any]      ):



    """simple docstring"""




    __lowercase          =						text.replace("""—"""   ,"""-"""      )
    __lowercase          =						text.replace("""–"""   ,"""-"""      )
    __lowercase          =						text.replace("""―"""   ,"""-"""      )
    __lowercase          =						text.replace("""…"""   ,"""..."""      )
    __lowercase          =						text.replace("""´"""   ,"""'"""      )
    __lowercase          =						re.sub(r"""(-+|~+|!+|\"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)"""   ,r""" \1 """   ,a__      )
    __lowercase          =						re.sub(r"""\s*\n\s*"""   ,""" \n """   ,a__      )
    __lowercase          =						re.sub(r"""[^\S\n]+"""   ,""" """   ,a__      )
    return text.strip()






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

       def __init__(   self ,		lowerCamelCase__ ,		lowerCamelCase__ ,		lowerCamelCase__="<unk>" ,		**lowerCamelCase__					)   -> List[Any]:

           """simple docstring"""



           super().__init__(unk_token=lowerCamelCase__ ,		**lowerCamelCase__					)

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

               __lowercase          =						English()
               __lowercase          =						_nlp.tokenizer
               __lowercase          =						ftfy.fix_text
           except ImportError:
               logger.warning("""ftfy or spacy is not installed using BERT BasicTokenizer instead of SpaCy & ftfy."""					)
               __lowercase          =						BasicTokenizer(do_lower_case=lowerCamelCase__					)
               __lowercase          =						None

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

       @property
       def    snake_case__      (   self					)   -> Optional[int]:

           """simple docstring"""



           return True

       @property
       def    snake_case__      (   self					)   -> Any:

           """simple docstring"""



           return len(self.encoder					)

       def    snake_case__      (   self					)   -> List[str]:

           """simple docstring"""



           return dict(self.encoder ,		**self.added_tokens_encoder					)

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> int:

           """simple docstring"""



           __lowercase          =						tuple(token[:-1]					) + (token[-1] + """</w>""",)
           if token in self.cache:
               return self.cache[token]
           __lowercase          =						get_pairs(lowerCamelCase__					)

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

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

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> List[str]:

           """simple docstring"""



           __lowercase          =						[]
           if self.fix_text is None:
               # Using BERT's BasicTokenizer
               __lowercase          =						self.nlp.tokenize(lowerCamelCase__					)
               for token in text:
                   split_tokens.extend(list(self.bpe(lowerCamelCase__					).split(""" """					)					)					)
           else:
               # Using SpaCy & ftfy (original tokenization process of OpenAI GPT)
               __lowercase          =						self.nlp(text_standardize(self.fix_text(lowerCamelCase__					)					)					)
               for token in text:
                   split_tokens.extend(list(self.bpe(token.text.lower()					).split(""" """					)					)					)
           return split_tokens

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> List[str]:

           """simple docstring"""



           return self.encoder.get(lowerCamelCase__ ,		self.encoder.get(self.unk_token					)					)

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> str:

           """simple docstring"""



           return self.decoder.get(lowerCamelCase__ ,		self.unk_token					)

       def    snake_case__      (   self ,		lowerCamelCase__					)   -> Any:

           """simple docstring"""



           __lowercase          =						"""""".join(lowerCamelCase__					).replace("""</w>""" ,		""" """					).strip()
           return out_string




       def    snake_case__      (   self ,		lowerCamelCase__ ,		lowerCamelCase__ = None					)   -> Tuple[str]:

           """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"""]					)
           __lowercase          =						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"""					)

           __lowercase          =						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!"""					)
                       __lowercase          =						token_index
                   writer.write(""" """.join(lowerCamelCase__					) + """\n"""					)
                   index += 1

           return vocab_file, merge_file




