






'''simple docstring'''

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

import regex as re

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


UpperCamelCase							=logging.get_logger(__name__)


UpperCamelCase							={
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

UpperCamelCase							={
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

UpperCamelCase							={"facebook/blenderbot_small-90M": 512}



def 							snake_case					(     a_							: Any	)       ->				List[str]:





      """simple docstring"""

      UpperCamelCase_				:   List[str]					    =							set()
      UpperCamelCase_				:   Any					    =							word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            UpperCamelCase_				:   Any					    =							char

      UpperCamelCase_				:   Optional[int]					    =							set(a_	)
      return pairs




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 __a			:						Dict      =						VOCAB_FILES_NAMES
 __a			:						str      =						PRETRAINED_VOCAB_FILES_MAP
 __a			:						Optional[Any]      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __a			:						List[Any]      =						['''input_ids''', '''attention_mask''']
 def __init__(							self			,     __lowerCAmelCase			,     __lowerCAmelCase			,     __lowerCAmelCase="__start__"			,     __lowerCAmelCase="__end__"			,     __lowerCAmelCase="__unk__"			,     __lowerCAmelCase="__null__"			,     **__lowerCAmelCase			,     ):
       super().__init__(unk_token=__lowerCAmelCase			,     bos_token=__lowerCAmelCase			,     eos_token=__lowerCAmelCase			,     pad_token=__lowerCAmelCase			,     **__lowerCAmelCase )

       with open(__lowerCAmelCase			,     encoding="""utf-8""" ) as vocab_handle:
             UpperCamelCase_				:   Tuple					    =							json.load(__lowerCAmelCase )
       UpperCamelCase_				:   str					    =							{v: k for k, v in self.encoder.items()}
       with open(__lowerCAmelCase			,     encoding="""utf-8""" ) as merges_handle:
             UpperCamelCase_				:   List[str]					    =							merges_handle.read().split("""\n""" )[1:-1]
       UpperCamelCase_				:   int					    =							[tuple(merge.split() ) for merge in merges]
       UpperCamelCase_				:   int					    =							dict(zip(__lowerCAmelCase			,     range(len(__lowerCAmelCase ) ) ) )
       UpperCamelCase_				:   Optional[int]					    =							{}
 @property
 def   _UpperCAmelCase       (							self ):
       return len(self.encoder )
 def   _UpperCAmelCase       (							self ):
       return dict(self.encoder			,     **self.added_tokens_encoder )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       if token in self.cache:
             return self.cache[token]
       UpperCamelCase_				:   List[str]					    =							re.sub("""([.,!?()])"""			,     R""" \1"""			,     __lowerCAmelCase )
       UpperCamelCase_				:   int					    =							re.sub("""(')"""			,     R""" \1 """			,     __lowerCAmelCase )
       UpperCamelCase_				:   List[str]					    =							re.sub(R"""\s{2,}"""			,     """ """			,     __lowerCAmelCase )
       if "\n" in token:
             UpperCamelCase_				:   Tuple					    =							token.replace("""\n"""			,     """ __newln__""" )

       UpperCamelCase_				:   List[Any]					    =							token.split(""" """ )
       UpperCamelCase_				:   List[Any]					    =							[]
       for token in tokens:
             if not len(__lowerCAmelCase ):
                   continue

             UpperCamelCase_				:   Optional[int]					    =							token.lower()
             UpperCamelCase_				:   int					    =							tuple(__lowerCAmelCase )
             UpperCamelCase_				:   int					    =							tuple(list(word[:-1] ) + [word[-1] + """</w>"""] )
             UpperCamelCase_				:   Union[str, Any]					    =							get_pairs(__lowerCAmelCase )

             if not pairs:
                   words.append(__lowerCAmelCase )
                   continue

             while True:
                   UpperCamelCase_				:   Tuple					    =							min(__lowerCAmelCase			,     key=lambda __lowerCAmelCase : self.bpe_ranks.get(__lowerCAmelCase			,     float("""inf""" ) ) )
                   if bigram not in self.bpe_ranks:
                         break
                   UpperCamelCase_    ,			UpperCamelCase_				:   Dict					    =							bigram
                   UpperCamelCase_				:   Optional[int]					    =							[]
                   UpperCamelCase_				:   List[str]					    =							0

                   while i < len(__lowerCAmelCase ):
                         try:
                               UpperCamelCase_				:   Dict					    =							word.index(__lowerCAmelCase			,     __lowerCAmelCase )
                               new_word.extend(word[i:j] )
                               UpperCamelCase_				:   Optional[int]					    =							j
                         except ValueError:
                               new_word.extend(word[i:] )
                               break

                         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
                   UpperCamelCase_				:   int					    =							tuple(__lowerCAmelCase )
                   UpperCamelCase_				:   Optional[Any]					    =							new_word
                   if len(__lowerCAmelCase ) == 1:
                         break
                   else:
                         UpperCamelCase_				:   int					    =							get_pairs(__lowerCAmelCase )
             UpperCamelCase_				:   Tuple					    =							"""@@ """.join(__lowerCAmelCase )
             UpperCamelCase_				:   Optional[int]					    =							word[:-4]

             UpperCamelCase_				:   Optional[int]					    =							word
             words.append(__lowerCAmelCase )
       return " ".join(__lowerCAmelCase )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Optional[int]					    =							[]

       UpperCamelCase_				:   Optional[Any]					    =							re.findall(R"""\S+\n?"""			,     __lowerCAmelCase )

       for token in words:
             split_tokens.extend(list(self.bpe(__lowerCAmelCase ).split(""" """ ) ) )
       return split_tokens
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   List[Any]					    =							token.lower()
       return self.encoder.get(__lowerCAmelCase			,     self.encoder.get(self.unk_token ) )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       return self.decoder.get(__lowerCAmelCase			,     self.unk_token )
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   int					    =							""" """.join(__lowerCAmelCase ).replace("""@@ """			,     """""" ).strip()
       return out_string





 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       if not os.path.isdir(__lowerCAmelCase ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory" )
             return
       UpperCamelCase_				:   List[str]					    =							os.path.join(
           __lowerCAmelCase			,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
       UpperCamelCase_				:   Tuple					    =							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""" )

       UpperCamelCase_				:   Optional[Any]					    =							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!""" )
                         UpperCamelCase_				:   List[str]					    =							token_index
                   writer.write(""" """.join(__lowerCAmelCase ) + """\n""" )
                   index += 1

       return vocab_file, merge_file














'''simple docstring'''

# Lint as: python3
import itertools
import os
import re


UpperCamelCase							=re.compile(R"([A-Z]+)([A-Z][a-z])")
UpperCamelCase							=re.compile(R"([a-z\d])([A-Z])")

UpperCamelCase							=re.compile(R"(?<!_)_(?!_)")
UpperCamelCase							=re.compile(R"(_{2,})")

UpperCamelCase							=R"^\w+(\.\w+)*$"

UpperCamelCase							=R"<>:/\|?*"



def 							snake_case					(     a_							: str	)       ->				int:





      """simple docstring"""

      UpperCamelCase_				:   str					    =							_uppercase_uppercase_re.sub(r"""\1_\2"""    ,   a_	)
      UpperCamelCase_				:   List[Any]					    =							_lowercase_uppercase_re.sub(r"""\1_\2"""    ,   a_	)
      return name.lower()



def 							snake_case					(     a_							: Any	)       ->				Optional[Any]:





      """simple docstring"""

      UpperCamelCase_				:   Optional[Any]					    =							_single_underscore_re.split(a_	)
      UpperCamelCase_				:   Tuple					    =							[_multiple_underscores_re.split(a_	) for n in name]
      return "".join(n.capitalize() for n in itertools.chain.from_iterable(a_	) if n != """"""	)



def 							snake_case					(     a_							: Optional[int]	)       ->				str:





      """simple docstring"""

      if os.path.basename(a_	) != name:
            raise ValueError(f"Should be a dataset name, not a path: {name}"	)
      return camelcase_to_snakecase(a_	)



def 							snake_case					(     a_							: List[Any]    ,   a_							: Optional[int]	)       ->				Optional[Any]:





      """simple docstring"""

      if os.path.basename(a_	) != name:
            raise ValueError(f"Should be a dataset name, not a path: {name}"	)
      if not re.match(_split_re    ,   a_	):
            raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'."	)
      return f"{filename_prefix_for_name(a_	)}-{split}"



def 							snake_case					(     a_							: Optional[Any]    ,   a_							: int    ,   a_							: List[Any]    ,   a_							: Union[str, Any]=None	)       ->				Dict:





      """simple docstring"""

      UpperCamelCase_				:   Optional[int]					    =							filename_prefix_for_split(a_    ,   a_	)
      if filetype_suffix:
            prefix += f".{filetype_suffix}"
      UpperCamelCase_				:   str					    =							os.path.join(a_    ,   a_	)
      return f"{filepath}*"



def 							snake_case					(     a_							: Tuple    ,   a_							: Any    ,   a_							: Optional[int]    ,   a_							: Union[str, Any]=None    ,   a_							: Optional[Any]=None	)       ->				List[Any]:





      """simple docstring"""

      UpperCamelCase_				:   Dict					    =							filename_prefix_for_split(a_    ,   a_	)
      UpperCamelCase_				:   Dict					    =							os.path.join(a_    ,   a_	)

      if shard_lengths:
            UpperCamelCase_				:   Optional[int]					    =							len(a_	)
            UpperCamelCase_				:   Tuple					    =							[f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(a_	)]
            if filetype_suffix:
                  UpperCamelCase_				:   Tuple					    =							[filename + f".{filetype_suffix}" for filename in filenames]
            return filenames
      else:
            UpperCamelCase_				:   Dict					    =							prefix
            if filetype_suffix:
                  filename += f".{filetype_suffix}"
            return [filename]






