





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

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


UpperCAmelCase__  :     List[Any]   			=logging.get_logger(__name__)


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

UpperCAmelCase__  :     Any   			={
    '''vocab_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'''
        ),
    },
    '''tokenizer_config_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'''
        ),
    },
    '''merges_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'''
        ),
    },
}

UpperCAmelCase__  :     Dict   			='''</w>'''
UpperCAmelCase__  :     List[Any]   			='''@@ '''





def        _lowercase   (  _UpperCAmelCase			)  ->					Any:
				lowerCamelCase			=set()
				lowerCamelCase			=word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)			)
								lowerCamelCase			=char
				return pairs


# Speech2Text2 has no max input length
UpperCAmelCase__  :     Optional[int]   			={'''facebook/s2t-wav2vec2-large-en-de''': 10_24}




class  __A       (  a      ):
				__A								=			VOCAB_FILES_NAMES
				__A								=			PRETRAINED_VOCAB_FILES_MAP
				__A								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A								=			["""input_ids""", """attention_mask"""]


				def __init__(						self				,	UpperCAmelCase_				,	UpperCAmelCase_="<s>"				,	UpperCAmelCase_="<pad>"				,	UpperCAmelCase_="</s>"				,	UpperCAmelCase_="<unk>"				,	UpperCAmelCase_=False				,	UpperCAmelCase_=None				,	**UpperCAmelCase_				,	):
								super().__init__(
								    unk_token=UpperCAmelCase_				,	bos_token=UpperCAmelCase_				,	eos_token=UpperCAmelCase_				,	pad_token=UpperCAmelCase_				,	do_lower_case=UpperCAmelCase_				,	**UpperCAmelCase_				,	)

								lowerCamelCase			=do_lower_case

								with open(UpperCAmelCase_				,	encoding="""utf-8"""							) as vocab_handle:
												lowerCamelCase			=json.load(UpperCAmelCase_							)
								lowerCamelCase			={v: k for k, v in self.encoder.items()}

								if merges_file is None:
												logger.info(f"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""							)

												lowerCamelCase			=None
												lowerCamelCase			=None
								else:
												with open(UpperCAmelCase_				,	encoding="""utf-8"""							) as merges_handle:
																lowerCamelCase			=merges_handle.read().split("""\n"""							)[:-1]

												lowerCamelCase			=[tuple(merge.split()[:2]							) for merge in merges]
												lowerCamelCase			=dict(zip(UpperCAmelCase_				,	range(len(UpperCAmelCase_							)							)							)							)
												lowerCamelCase			={}


				@property
				def _snake_case    (						self							):
								return len(self.decoder							)


				def _snake_case    (						self							):
								return dict(self.encoder				,	**self.added_tokens_encoder							)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=tuple(token[:-1]							) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
												return self.cache[token]
								lowerCamelCase			=get_pairs(UpperCAmelCase_							)

								if not pairs:
												return token

								while True:
												lowerCamelCase			=min(UpperCAmelCase_				,	key=lambda UpperCAmelCase_							: self.bpe_ranks.get(UpperCAmelCase_				,	float("""inf"""							)							)							)
												if bigram not in self.bpe_ranks:
																break
												lowerCamelCase	,					lowerCamelCase			=bigram
												lowerCamelCase			=[]
												lowerCamelCase			=0
												while i < len(UpperCAmelCase_							):
																try:
																				lowerCamelCase			=word.index(UpperCAmelCase_				,	UpperCAmelCase_							)
																except ValueError:
																				new_word.extend(word[i:]							)
																				break
																else:
																				new_word.extend(word[i:j]							)
																				lowerCamelCase			=j

																if word[i] == first and i < len(UpperCAmelCase_							) - 1 and word[i + 1] == second:
																				new_word.append(first + second							)
																				i += 2
																else:
																				new_word.append(word[i]							)
																				i += 1
												lowerCamelCase			=tuple(UpperCAmelCase_							)
												lowerCamelCase			=new_word
												if len(UpperCAmelCase_							) == 1:
																break
												else:
																lowerCamelCase			=get_pairs(UpperCAmelCase_							)
								lowerCamelCase			=""" """.join(UpperCAmelCase_							)
								if word == "\n  " + BPE_TOKEN_MERGES:
												lowerCamelCase			="""\n""" + BPE_TOKEN_MERGES

								if word.endswith(UpperCAmelCase_							):
												lowerCamelCase			=word.replace(UpperCAmelCase_				,	""""""							)

								lowerCamelCase			=word.replace(""" """				,	UpperCAmelCase_							)
								lowerCamelCase			=word
								return word


				def _snake_case    (						self				,	UpperCAmelCase_							):

								if self.bpe_ranks is None:
												raise ValueError(
												    """This tokenizer was instantiated without a `merges.txt` file, so"""
												    """ that it can only be used for decoding, not for encoding."""
												    """Make sure to provide `merges.txt` file at instantiation to enable """
												    """encoding."""							)

								if self.do_lower_case:
												lowerCamelCase			=text.lower()

								lowerCamelCase			=text.split()

								lowerCamelCase			=[]
								for token in text:
												if token:
																split_tokens.extend(list(self.bpe(UpperCAmelCase_							).split(""" """							)							)							)

								return split_tokens


				def _snake_case    (						self				,	UpperCAmelCase_							):
								return self.encoder.get(UpperCAmelCase_				,	self.encoder.get(self.unk_token							)							)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=self.decoder.get(UpperCAmelCase_				,	self.unk_token							)
								return result


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=""" """.join(UpperCAmelCase_							)

								# make sure @@ tokens are concatenated
								lowerCamelCase			="""""".join(string.split(UpperCAmelCase_							)							)

								return string


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								if not os.path.isdir(UpperCAmelCase_							):
												logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
												return
								lowerCamelCase			=os.path.join(
								    UpperCAmelCase_				,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
								lowerCamelCase			=os.path.join(
								    UpperCAmelCase_				,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

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

								lowerCamelCase			=0
								if self.bpe_ranks is None:
												return (vocab_file,)

								with open(UpperCAmelCase_				,	"""w"""				,	encoding="""utf-8"""							) as writer:
												for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,	key=lambda UpperCAmelCase_							: kv[1]							):
																if index != token_index:
																				logger.warning(
																				    f"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
																				    """ Please check that the tokenizer is not corrupted!"""							)
																				lowerCamelCase			=token_index
																writer.write(""" """.join(UpperCAmelCase_							) + """\n"""							)
																index += 1

								return (vocab_file, merges_file)







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


UpperCAmelCase__  :     Optional[int]   			=logging.get_logger(__name__)

UpperCAmelCase__  :     int   			={'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase__  :     List[str]   			={
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

UpperCAmelCase__  :     Any   			={'''mobilebert-uncased''': 5_12}


UpperCAmelCase__  :     Any   			={}

class  __A       (  a      ):
				__A								=			VOCAB_FILES_NAMES
				__A								=			PRETRAINED_VOCAB_FILES_MAP
				__A								=			PRETRAINED_INIT_CONFIGURATION
				__A								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A								=			MobileBertTokenizer


				def __init__(						self				,	UpperCAmelCase_=None				,	UpperCAmelCase_=None				,	UpperCAmelCase_=True				,	UpperCAmelCase_="[UNK]"				,	UpperCAmelCase_="[SEP]"				,	UpperCAmelCase_="[PAD]"				,	UpperCAmelCase_="[CLS]"				,	UpperCAmelCase_="[MASK]"				,	UpperCAmelCase_=True				,	UpperCAmelCase_=None				,	**UpperCAmelCase_				,	):
								super().__init__(
								    UpperCAmelCase_				,	tokenizer_file=UpperCAmelCase_				,	do_lower_case=UpperCAmelCase_				,	unk_token=UpperCAmelCase_				,	sep_token=UpperCAmelCase_				,	pad_token=UpperCAmelCase_				,	cls_token=UpperCAmelCase_				,	mask_token=UpperCAmelCase_				,	tokenize_chinese_chars=UpperCAmelCase_				,	strip_accents=UpperCAmelCase_				,	**UpperCAmelCase_				,	)

								lowerCamelCase			=json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
								if (
								    normalizer_state.get("""lowercase"""				,	UpperCAmelCase_							) != do_lower_case
								    or normalizer_state.get("""strip_accents"""				,	UpperCAmelCase_							) != strip_accents
								    or normalizer_state.get("""handle_chinese_chars"""				,	UpperCAmelCase_							) != tokenize_chinese_chars
								):
												lowerCamelCase			=getattr(UpperCAmelCase_				,	normalizer_state.pop("""type"""							)							)
												lowerCamelCase			=do_lower_case
												lowerCamelCase			=strip_accents
												lowerCamelCase			=tokenize_chinese_chars
												lowerCamelCase			=normalizer_class(**UpperCAmelCase_							)

								lowerCamelCase			=do_lower_case


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_=None							):
								lowerCamelCase			=[self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

								return output


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								lowerCamelCase			=[self.sep_token_id]
								lowerCamelCase			=[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							) * [0] + len(token_ids_a + sep							) * [1]


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								lowerCamelCase			=self._tokenizer.model.save(UpperCAmelCase_				,	name=UpperCAmelCase_							)
								return tuple(UpperCAmelCase_							)





