
'''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


lowerCAmelCase					:    str           = logging.get_logger(__name__)


lowerCAmelCase					:    Tuple           = {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase					:    Dict           = {
    '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'
        )
    },
}

lowerCAmelCase					:    Optional[int]           = {'facebook/blenderbot_small-90M': 5_12}







def 		A_(     A						:		int):
							UpperCamelCase   			=     set()
							UpperCamelCase   			=     word[0]
							for char in word[1:]:
														pairs.add((prev_char, char))
														UpperCamelCase   			=     char

							UpperCamelCase   			=     set(A)
							return pairs





class 			SCREAMING_SNAKE_CASE__      (     snake_case_):
				lowerCAmelCase_     			=							VOCAB_FILES_NAMES
				lowerCAmelCase_     			=							PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase_     			=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase_     			=							["""input_ids""", """attention_mask"""]







				def __init__(       self						,				A_						,				A_						,				A_="__start__"						,				A_="__end__"						,				A_="__unk__"						,				A_="__null__"						,				**A_						,				)->		Optional[int]:







											'''simple docstring'''






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

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







				@property
				def 						UpperCAmelCase_    (       self     )->		int:







											'''simple docstring'''






											return len(self.encoder     )







				def 						UpperCAmelCase_    (       self     )->		Dict:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






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

											UpperCamelCase   			=     token.split(' '     )
											UpperCamelCase   			=     []
											for token in tokens:
																		if not len(A_     ):
																									continue

																		UpperCamelCase   			=     token.lower()
																		UpperCamelCase   			=     tuple(A_     )
																		UpperCamelCase   			=     tuple(list(word[:-1]     ) + [word[-1] + '</w>']     )
																		UpperCamelCase   			=     get_pairs(A_     )

																		if not pairs:
																									words.append(A_     )
																									continue

																		while True:
																									UpperCamelCase   			=     min(A_						,				key=lambda A_     : self.bpe_ranks.get(A_						,				float('inf'     )     )     )
																									if bigram not in self.bpe_ranks:
																																break
																									UpperCamelCase			,	UpperCamelCase   			=     bigram
																									UpperCamelCase   			=     []
																									UpperCamelCase   			=     0

																									while i < len(A_     ):
																																try:
																																							UpperCamelCase   			=     word.index(A_						,				A_     )
																																							new_word.extend(word[i:j]     )
																																							UpperCamelCase   			=     j
																																except ValueError:
																																							new_word.extend(word[i:]     )
																																							break

																																if word[i] == first and i < len(A_     ) - 1 and word[i + 1] == second:
																																							new_word.append(first + second     )
																																							i += 2
																																else:
																																							new_word.append(word[i]     )
																																							i += 1
																									UpperCamelCase   			=     tuple(A_     )
																									UpperCamelCase   			=     new_word
																									if len(A_     ) == 1:
																																break
																									else:
																																UpperCamelCase   			=     get_pairs(A_     )
																		UpperCamelCase   			=     '@@ '.join(A_     )
																		UpperCamelCase   			=     word[:-4]

																		UpperCamelCase   			=     word
																		words.append(A_     )
											return " ".join(A_     )







				def 						UpperCAmelCase_    (       self						,				A_     )->		List[str]:







											'''simple docstring'''






											UpperCamelCase   			=     []

											UpperCamelCase   			=     re.findall(R'\S+\n?'						,				A_     )

											for token in words:
																		split_tokens.extend(list(self.bpe(A_     ).split(' '     )     )     )
											return split_tokens







				def 						UpperCAmelCase_    (       self						,				A_     )->		int:







											'''simple docstring'''






											UpperCamelCase   			=     token.lower()
											return self.encoder.get(A_						,				self.encoder.get(self.unk_token     )     )







				def 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






											UpperCamelCase   			=     ' '.join(A_     ).replace('@@ '						,				''     ).strip()
											return out_string







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None     )->		Tuple[str]:







											'''simple docstring'''






											if not os.path.isdir(A_     ):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
																		return
											UpperCamelCase   			=     os.path.join(
											    A_						,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
											UpperCamelCase   			=     os.path.join(
											    A_						,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']     )

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

											UpperCamelCase   			=     0
											with open(A_						,				'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!'     )
																																UpperCamelCase   			=     token_index
																									writer.write(' '.join(A_     ) + '\n'     )
																									index += 1

											return vocab_file, merge_file










'''simple docstring'''



import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version




def   lowercase__(			*__UpperCamelCase:					Union[str, Any]      ,__UpperCamelCase:					Optional[Union[Dict, Any]] = None      ,__UpperCamelCase:					Dict=True      ,__UpperCamelCase:					List[Any]=2    ):

      """simple docstring"""






      from .. import __version__

      SCREAMING_SNAKE_CASE   :      int    					=						take_from
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						()
      if not isinstance(args[0]      ,__UpperCamelCase    ):
            SCREAMING_SNAKE_CASE   :      List[str]    					=						(args,)

      for attribute, version_name, message in args:
            if version.parse(version.parse(__UpperCamelCase    ).base_version    ) >= version.parse(__UpperCamelCase    ):
                  raise ValueError(
                      f"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
                      f" version {__version__} is >= {version_name}"    )

            SCREAMING_SNAKE_CASE   :      Tuple    					=						None
            if isinstance(__UpperCamelCase      ,__UpperCamelCase    ) and attribute in deprecated_kwargs:
                  values += (deprecated_kwargs.pop(__UpperCamelCase    ),)
                  SCREAMING_SNAKE_CASE   :      Dict    					=						f"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
            elif hasattr(__UpperCamelCase      ,__UpperCamelCase    ):
                  values += (getattr(__UpperCamelCase      ,__UpperCamelCase    ),)
                  SCREAMING_SNAKE_CASE   :      Optional[int]    					=						f"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
            elif deprecated_kwargs is None:
                  SCREAMING_SNAKE_CASE   :      Dict    					=						f"`{attribute}` is deprecated and will be removed in version {version_name}."

            if warning is not None:
                  SCREAMING_SNAKE_CASE   :      Dict    					=						warning + ' ' if standard_warn else ''
                  warnings.warn(warning + message      ,__UpperCamelCase      ,stacklevel=__UpperCamelCase    )

      if isinstance(__UpperCamelCase      ,__UpperCamelCase    ) and len(__UpperCamelCase    ) > 0:
            SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						inspect.getouterframes(inspect.currentframe()    )[1]
            SCREAMING_SNAKE_CASE   :      Any    					=						call_frame.filename
            SCREAMING_SNAKE_CASE   :      Tuple    					=						call_frame.lineno
            SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						call_frame.function
            SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      Tuple    					=						next(iter(deprecated_kwargs.items()    )    )
            raise TypeError(f"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"    )

      if len(__UpperCamelCase    ) == 0:
            return
      elif len(__UpperCamelCase    ) == 1:
            return values[0]
      return values


