





from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase_           =	{
    "vocab_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"
    },
    "merges_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"
    },
}

UpperCAmelCase_           =	{"allegro/herbert-base-cased": 5_14}
UpperCAmelCase_           =	{}




class 			__UpperCamelCase    (							A__    ):
     __A	:  List[str]							  =   VOCAB_FILES_NAMES
     __A	:  List[str]							  =   PRETRAINED_VOCAB_FILES_MAP
     __A	:  Optional[int]							  =   PRETRAINED_INIT_CONFIGURATION
     __A	:  List[str]							  =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	:  Optional[int]							  =   HerbertTokenizer





     def __init__(     self				,							_UpperCamelCase=None				,							_UpperCamelCase=None				,							_UpperCamelCase=None				,							_UpperCamelCase="<s>"				,							_UpperCamelCase="<unk>"				,							_UpperCamelCase="<pad>"				,							_UpperCamelCase="<mask>"				,							_UpperCamelCase="</s>"				,							**_UpperCamelCase				,							):
        super().__init__(
            _UpperCamelCase				,							_UpperCamelCase				,							tokenizer_file=_UpperCamelCase				,							cls_token=_UpperCamelCase				,							unk_token=_UpperCamelCase				,							pad_token=_UpperCamelCase				,							mask_token=_UpperCamelCase				,							sep_token=_UpperCamelCase				,							**_UpperCamelCase				,							)





     def 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase = None					):
        _UpperCAmelCase           =   [self.cls_token_id]
        _UpperCAmelCase           =   [self.sep_token_id]
        if token_ids_a is None:
           return cls + token_ids_a + sep

        return cls + token_ids_a + sep + token_ids_a + sep





     def 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase = None				,							_UpperCamelCase = False					):
        if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=_UpperCamelCase				,							token_ids_a=_UpperCamelCase				,							already_has_special_tokens=_UpperCamelCase					)

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





     def 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase = None					):
        _UpperCAmelCase           =   [self.sep_token_id]
        _UpperCAmelCase           =   [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 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase = None					):
        _UpperCAmelCase           =   self._tokenizer.model.save(_UpperCamelCase				,							name=_UpperCamelCase					)
        return tuple(_UpperCamelCase					)






import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


UpperCAmelCase_           =	logging.get_logger(__name__)




class 			__UpperCamelCase    (							A__    ):





     def __init__(     self				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        warnings.warn(
            '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use GLPNImageProcessor instead.'''				,							_UpperCamelCase				,							)
        super().__init__(*_UpperCamelCase				,							**_UpperCamelCase					)