





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

import regex as re

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


SCREAMING_SNAKE_CASE_						   =       logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE_						   =       {
    """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"""
        )
    },
}

SCREAMING_SNAKE_CASE_						   =       {"""facebook/blenderbot_small-90M""": 5_1_2}



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   str:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						set()
      SCREAMING_SNAKE_CASE		=						word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            SCREAMING_SNAKE_CASE		=						char

      SCREAMING_SNAKE_CASE		=						set(_SCREAMING_SNAKE_CASE	)
      return pairs



class 		UpperCamelCase__ (      lowerCAmelCase_   ):



     '''simple docstring'''

     __snake_case    :	Tuple			=			VOCAB_FILES_NAMES
     __snake_case    :	str			=			PRETRAINED_VOCAB_FILES_MAP
     __snake_case    :	Optional[Any]			=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case    :	str			=			["input_ids", "attention_mask"]






     def __init__(							self						:    Any						,lowerCamelCase__						:    Tuple						,lowerCamelCase__						:    Optional[Any]						,lowerCamelCase__						:    Dict="__start__"						,lowerCamelCase__						:    int="__end__"						,lowerCamelCase__						:    List[str]="__unk__"						,lowerCamelCase__						:    int="__null__"						,**lowerCamelCase__						:    List[str]						,)     ->		Optional[int]:




           '''simple docstring'''


           super().__init__(unk_token=lowerCamelCase__						,bos_token=lowerCamelCase__						,eos_token=lowerCamelCase__						,pad_token=lowerCamelCase__						,**lowerCamelCase__       )

           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()}
           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 merges]
           SCREAMING_SNAKE_CASE		=						dict(zip(lowerCamelCase__						,range(len(lowerCamelCase__       )       )       )       )
           SCREAMING_SNAKE_CASE		=						{}






     @property
     def 				SCREAMING_SNAKE_CASE__  (							self						:    str       )     ->		int:




           '''simple docstring'''


           return len(self.encoder       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Any       )     ->		Dict:




           '''simple docstring'''


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






     def 				SCREAMING_SNAKE_CASE__  (							self						:    int						,lowerCamelCase__						:    str       )     ->		str:




           '''simple docstring'''


           if token in self.cache:
                 return self.cache[token]
           SCREAMING_SNAKE_CASE		=						re.sub("""([.,!?()])"""						,R""" \1"""						,lowerCamelCase__       )
           SCREAMING_SNAKE_CASE		=						re.sub("""(')"""						,R""" \1 """						,lowerCamelCase__       )
           SCREAMING_SNAKE_CASE		=						re.sub(R"""\s{2,}"""						,""" """						,lowerCamelCase__       )
           if "\n" in token:
                 SCREAMING_SNAKE_CASE		=						token.replace("""\n"""						,""" __newln__"""       )

           SCREAMING_SNAKE_CASE		=						token.split(""" """       )
           SCREAMING_SNAKE_CASE		=						[]
           for token in tokens:
                 if not len(lowerCamelCase__       ):
                       continue

                 SCREAMING_SNAKE_CASE		=						token.lower()
                 SCREAMING_SNAKE_CASE		=						tuple(lowerCamelCase__       )
                 SCREAMING_SNAKE_CASE		=						tuple(list(word[:-1]       ) + [word[-1] + """</w>"""]       )
                 SCREAMING_SNAKE_CASE		=						get_pairs(lowerCamelCase__       )

                 if not pairs:
                       words.append(lowerCamelCase__       )
                       continue

                 while True:
                       SCREAMING_SNAKE_CASE		=						min(lowerCamelCase__						,key=lambda lowerCamelCase__       : 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__       )
                                   new_word.extend(word[i:j]       )
                                   SCREAMING_SNAKE_CASE		=						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
                       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[:-4]

                 SCREAMING_SNAKE_CASE		=						word
                 words.append(lowerCamelCase__       )
           return " ".join(lowerCamelCase__       )






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						[]

           SCREAMING_SNAKE_CASE		=						re.findall(R"""\S+\n?"""						,lowerCamelCase__       )

           for token in words:
                 split_tokens.extend(list(self.bpe(lowerCamelCase__       ).split(""" """       )       )       )
           return split_tokens






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[int]						,lowerCamelCase__						:    str       )     ->		int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						token.lower()
           return self.encoder.get(lowerCamelCase__						,self.encoder.get(self.unk_token       )       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Tuple						,lowerCamelCase__						:    int       )     ->		str:




           '''simple docstring'''


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






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						""" """.join(lowerCamelCase__       ).replace("""@@ """						,""""""       ).strip()
           return out_string






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Dict						,lowerCamelCase__						:    str						,lowerCamelCase__						:    Optional[str] = None       )     ->		Tuple[str]:




           '''simple docstring'''


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

           return vocab_file, merge_file









import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


SCREAMING_SNAKE_CASE_						   =       importlib.util.find_spec("""s3fs""") is not None

if _has_safs:
      from .safilesystem import SaFileSystem  # noqa: F401

SCREAMING_SNAKE_CASE_						   =       [
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
      if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
            warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
      fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   str:


      '''simple docstring'''


      if "://" in dataset_path:
            SCREAMING_SNAKE_CASE		=						dataset_path.split("""://"""	)[1]
      return dataset_path



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   bool:


      '''simple docstring'''


      if fs is not None and fs.protocol != "file":
            return True
      else:
            return False



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Dict:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						not is_remote_filesystem(_SCREAMING_SNAKE_CASE	)
      if is_local:
            # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
            shutil.move(fs._strip_protocol(_SCREAMING_SNAKE_CASE	) ,						fs._strip_protocol(_SCREAMING_SNAKE_CASE	)	)
      else:
            fs.mv(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						recursive=_SCREAMING_SNAKE_CASE	)



def    __lowercase   (      ) ->   None:


      '''simple docstring'''


      if hasattr(fsspec.asyn ,						"""reset_lock"""	):
            # for future fsspec>2022.05.0
            fsspec.asyn.reset_lock()
      else:
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						None
            SCREAMING_SNAKE_CASE		=						threading.Lock()


