
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation

_snake_case      :							Dict     	=    logging.get_logger(__name__)


_snake_case      :							Union[str, Any]     	=    {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

_snake_case      :							Tuple     	=    {
    "vocab_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"},
    "merges_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"},
    "tokenizer_config_file": {
        "facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"
    },
}

_snake_case      :							Optional[Any]     	=    {"facebook/blenderbot-3B": 1_28}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def  __snake_case							(	):







				'''simple docstring'''


				lowercase         =      (
				    list(range(ord("!"						)		,    ord("~"						) + 1						)						) + list(range(ord("¡"						)		,    ord("¬"						) + 1						)						) + list(range(ord("®"						)		,    ord("ÿ"						) + 1						)						)
				)
				lowercase         =      bs[:]
				lowercase         =      0
				for b in range(2**8						):
								if b not in bs:
												bs.append(__magic_name__						)
												cs.append(2**8 + n						)
												n += 1
				lowercase         =      [chr(__magic_name__						) for n in cs]
				return dict(zip(__magic_name__		,    __magic_name__						)						)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


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





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						UpperCamelCase      :  Tuple				   =					VOCAB_FILES_NAMES
						UpperCamelCase      :  List[str]				   =					PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase      :  Dict				   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase      :  List[str]				   =					['''input_ids''', '''attention_mask''']





						def __init__(			self							:Dict		,    lowerCAmelCase__							:List[Any]		,    lowerCAmelCase__							:List[str]		,    lowerCAmelCase__							:Optional[int]="replace"		,    lowerCAmelCase__							:Dict="<s>"		,    lowerCAmelCase__							:Optional[int]="</s>"		,    lowerCAmelCase__							:int="</s>"		,    lowerCAmelCase__							:Any="<s>"		,    lowerCAmelCase__							:str="<unk>"		,    lowerCAmelCase__							:str="<pad>"		,    lowerCAmelCase__							:List[Any]="<mask>"		,    lowerCAmelCase__							:Dict=False		,    **lowerCAmelCase__							:Optional[Any]		,    )  ->Tuple:
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else bos_token
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else eos_token
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else sep_token
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else cls_token
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else unk_token
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else pad_token

										# Mask token behave like a normal word, i.e. include the space before it
										lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__		,    rstrip=lowerCAmelCase__     ) if isinstance(lowerCAmelCase__		,    lowerCAmelCase__     ) else mask_token

										super().__init__(
										    errors=lowerCAmelCase__		,    bos_token=lowerCAmelCase__		,    eos_token=lowerCAmelCase__		,    unk_token=lowerCAmelCase__		,    sep_token=lowerCAmelCase__		,    cls_token=lowerCAmelCase__		,    pad_token=lowerCAmelCase__		,    mask_token=lowerCAmelCase__		,    add_prefix_space=lowerCAmelCase__		,    **lowerCAmelCase__		,    )

										with open(lowerCAmelCase__		,    encoding="utf-8"     ) as vocab_handle:
														lowercase         =      json.load(lowerCAmelCase__     )
										lowercase         =      {v: k for k, v in self.encoder.items()}
										lowercase         =      errors  # how to handle errors in decoding
										lowercase         =      bytes_to_unicode()
										lowercase         =      {v: k for k, v in self.byte_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 bpe_merges]
										lowercase         =      dict(zip(lowerCAmelCase__		,    range(len(lowerCAmelCase__     )     )     )     )
										lowercase         =      {}
										lowercase         =      add_prefix_space

										# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
										lowercase         =      re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"     )





						@property
						# Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
						def        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->Optional[Any]:
										return len(self.encoder     )





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





						def        SCREAMING_SNAKE_CASE(			self							:List[Any]		,    lowerCAmelCase__							:Optional[int]     )  ->Optional[int]:
										if token in self.cache:
														return self.cache[token]
										lowercase         =      tuple(lowerCAmelCase__     )
										lowercase         =      get_pairs(lowerCAmelCase__     )

										if not pairs:
														return token

										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__     )
										lowercase         =      word
										return word





						def        SCREAMING_SNAKE_CASE(			self							:int		,    lowerCAmelCase__							:Optional[Any]     )  ->Tuple:
										lowercase         =      []
										for token in re.findall(self.pat		,    lowerCAmelCase__     ):
														lowercase         =      "".join(
														    self.byte_encoder[b] for b in token.encode("utf-8"     )     )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
														bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCAmelCase__     ).split(" "     )     )
										return bpe_tokens





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]		,    lowerCAmelCase__							:int     )  ->List[Any]:
										return self.encoder.get(lowerCAmelCase__		,    self.encoder.get(self.unk_token     )     )





						def        SCREAMING_SNAKE_CASE(			self							:str		,    lowerCAmelCase__							:Tuple     )  ->str:
										return self.decoder.get(lowerCAmelCase__     )





						def        SCREAMING_SNAKE_CASE(			self							:Tuple		,    lowerCAmelCase__							:Optional[Any]     )  ->int:
										lowercase         =      "".join(lowerCAmelCase__     )
										lowercase         =      bytearray([self.byte_decoder[c] for c in text]     ).decode("utf-8"		,    errors=self.errors     )
										return text





						def        SCREAMING_SNAKE_CASE(			self							:Any		,    lowerCAmelCase__							:str		,    lowerCAmelCase__							:Optional[str] = None     )  ->Tuple[str]:
										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





						def        SCREAMING_SNAKE_CASE(			self							:int		,    lowerCAmelCase__							:List[int]		,    lowerCAmelCase__							:Optional[List[int]] = None		,    lowerCAmelCase__							:bool = False     )  ->List[int]:
										if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=lowerCAmelCase__		,    token_ids_a=lowerCAmelCase__		,    already_has_special_tokens=lowerCAmelCase__     )

										if token_ids_a is None:
														return [1] + ([0] * len(lowerCAmelCase__     )) + [1]
										return [1] + ([0] * len(lowerCAmelCase__     )) + [1, 1] + ([0] * len(lowerCAmelCase__     )) + [1]





						def        SCREAMING_SNAKE_CASE(			self							:List[str]		,    lowerCAmelCase__							:List[int]		,    lowerCAmelCase__							:Optional[List[int]] = None     )  ->List[int]:
										lowercase         =      [self.sep_token_id]
										lowercase         =      [self.cls_token_id]

										if token_ids_a is None:
														return len(cls + token_ids_a + sep     ) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep     ) * [0]





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]		,    lowerCAmelCase__							:int		,    lowerCAmelCase__							:Union[str, Any]=False		,    **lowerCAmelCase__							:Optional[Any]     )  ->Tuple:
										lowercase         =      kwargs.pop("add_prefix_space"		,    self.add_prefix_space     )
										if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase__     ) > 0 and not text[0].isspace()):
														lowercase         =      " " + text
										return (text, kwargs)





						def        SCREAMING_SNAKE_CASE(			self							:Tuple		,    lowerCAmelCase__							:List[int]		,    lowerCAmelCase__							:Optional[List[int]] = None     )  ->Any:
										return token_ids_a + [self.eos_token_id]





						def        SCREAMING_SNAKE_CASE(			self							:List[str]		,    lowerCAmelCase__							:"Conversation"     )  ->List[int]:
										lowercase         =      []
										for is_user, text in conversation.iter_texts():
														if is_user:
																		# We need to space prefix as it's being done within blenderbot
																		inputs.append(" " + text     )
														else:
																		# Generated responses should contain them already.
																		inputs.append(lowerCAmelCase__     )

										lowercase         =      "  ".join(lowerCAmelCase__     )
										lowercase         =      self.encode(lowerCAmelCase__     )
										if len(lowerCAmelCase__     ) > self.model_max_length:
														lowercase         =      input_ids[-self.model_max_length :]
														logger.warning(F'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''     )
										return input_ids


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case      :							Union[str, Any]     	=    {"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_snake_case      :							Union[str, Any]     	=    [
						    "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "WavLMForAudioFrameClassification",
						    "WavLMForCTC",
						    "WavLMForSequenceClassification",
						    "WavLMForXVector",
						    "WavLMModel",
						    "WavLMPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						_snake_case      :							str     	=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
