





'''simple docstring'''

import json
import os
from typing import Optional, Tuple

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


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

__lowerCamelCase : Any											=			{"vocab_file": "vocab.json"}

__lowerCamelCase : Union[str, Any]											=			{
    "vocab_file": {
        "mgp-str": "https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json",
    }
}

__lowerCamelCase : List[str]											=			{"mgp-str": 27}

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	str 			=		VOCAB_FILES_NAMES
		UpperCAmelCase					:	int 			=		PRETRAINED_VOCAB_FILES_MAP
		UpperCAmelCase					:	Optional[Any] 			=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




		def __init__(self      :	Union[str, Any]							,			A__      :	List[Any]							,			A__      :	List[Any]="[GO]"							,			A__      :	List[Any]="[GO]"							,			A__      :	Optional[Any]="[s]"							,			A__      :	Union[str, Any]="[GO]"							,			**A__      :	str				)					-> Union[str, Any]:
						super().__init__(
						    unk_token=A__							,			bos_token=A__							,			eos_token=A__							,			pad_token=A__							,			**A__							,			)

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




		@property
		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Tuple:
						return len(self.vocab				)




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> Dict:
						return dict(self.vocab							,			**self.added_tokens_encoder				)




		def 				UpperCAmelCase__   (self      :	str							,			A__      :	Tuple				)					-> str:
						lowercase         = []
						for s in text:
										char_tokens.extend(A__				)
						return char_tokens




		def 				UpperCAmelCase__   (self      :	Any							,			A__      :	Optional[Any]				)					-> Optional[Any]:
						return self.vocab.get(A__							,			self.vocab.get(self.unk_token				)				)




		def 				UpperCAmelCase__   (self      :	Tuple							,			A__      :	List[Any]				)					-> Dict:
						return self.decoder.get(A__				)





		def 				UpperCAmelCase__   (self      :	int							,			A__      :	str							,			A__      :	Optional[str] = None				)					-> Tuple[str]:
						if not os.path.isdir(A__				):
										logger.error("Vocabulary path ({}) should be a directory".format(A__				)				)
										return
						lowercase         = os.path.join(
						    A__							,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)

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

						return (vocab_file,)











'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


__lowerCamelCase : Union[str, Any]											=			logging.get_logger(__name__)

class       UpperCAmelCase (						_lowercase  ):




		def __init__(self      :	Tuple							,			*A__      :	Union[str, Any]							,			**A__      :	Optional[Any]				)					-> None:
						warnings.warn(
						    "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
						    " use CLIPImageProcessor instead."							,			A__							,			)
						super().__init__(*A__							,			**A__				)




