






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


A__			:    Dict         =				logging.get_logger(__name__)

A__			:    Optional[int]         =				{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

A__			:    List[str]         =				{
    'vocab_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'yjernite/retribert-base-uncased': (
            'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

A__			:    int         =				{
    'yjernite/retribert-base-uncased': 5_12,
}


A__			:    Tuple         =				{
    'yjernite/retribert-base-uncased': {'do_lower_case': True},
}
class    _UpperCAmelCase      ( _snake_case			):

				"""simple docstring"""




				lowercase__       							= VOCAB_FILES_NAMES
				lowercase__       							= PRETRAINED_VOCAB_FILES_MAP
				lowercase__       							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__       							= PRETRAINED_INIT_CONFIGURATION
				lowercase__       							= RetriBertTokenizer
				lowercase__       							= ["""input_ids""", """attention_mask"""]




				def __init__(  self		:					Tuple,						lowerCamelCase		:					List[str]=None,						lowerCamelCase		:					Optional[Any]=None,						lowerCamelCase		:					Optional[Any]=True,						lowerCamelCase		:					Union[str, Any]="[UNK]",						lowerCamelCase		:					Union[str, Any]="[SEP]",						lowerCamelCase		:					Dict="[PAD]",						lowerCamelCase		:					Any="[CLS]",						lowerCamelCase		:					List[str]="[MASK]",						lowerCamelCase		:					Dict=True,						lowerCamelCase		:					List[str]=None,						**lowerCamelCase		:					List[Any],						):

								'''simple docstring'''
								super().__init__(
								    lowerCAmelCase__,						tokenizer_file=lowerCAmelCase__,						do_lower_case=lowerCAmelCase__,						unk_token=lowerCAmelCase__,						sep_token=lowerCAmelCase__,						pad_token=lowerCAmelCase__,						cls_token=lowerCAmelCase__,						mask_token=lowerCAmelCase__,						tokenize_chinese_chars=lowerCAmelCase__,						strip_accents=lowerCAmelCase__,						**lowerCAmelCase__,						)

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

								lowercase__     				=    do_lower_case




				def        lowercase__     (  self		:					List[Any],						lowerCamelCase		:					Any,						lowerCamelCase		:					Dict=None						):

								'''simple docstring'''
								lowercase__     				=    [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        lowercase__     (  self		:					List[Any],						lowerCamelCase		:					List[int],						lowerCamelCase		:					Optional[List[int]] = None						):

								'''simple docstring'''
								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						) * [0] + len(token_ids_a + sep						) * [1]




				def        lowercase__     (  self		:					Dict,						lowerCamelCase		:					str,						lowerCamelCase		:					Optional[str] = None						):

								'''simple docstring'''
								lowercase__     				=    self._tokenizer.model.save(lowerCAmelCase__,						name=lowerCAmelCase__						)
								return tuple(lowerCAmelCase__						)












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


A__			:    Any         =				{'configuration_unispeech': ['UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechConfig']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__			:    Union[str, Any]         =				[
							    'UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'UniSpeechForCTC',
							    'UniSpeechForPreTraining',
							    'UniSpeechForSequenceClassification',
							    'UniSpeechModel',
							    'UniSpeechPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_unispeech import (
														    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
														    UniSpeechForCTC,
														    UniSpeechForPreTraining,
														    UniSpeechForSequenceClassification,
														    UniSpeechModel,
														    UniSpeechPreTrainedModel,
														)

else:
							import sys

							A__			:    List[Any]         =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




