


import json
import os
from typing import Optional, Tuple

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


A      :    Dict		=					logging.get_logger(__name__)

A      :    List[str]		=					{"vocab_file": "vocab.json"}

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

A      :    Union[str, Any]		=					{"mgp-str": 27}







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			VOCAB_FILES_NAMES
       A__											=			PRETRAINED_VOCAB_FILES_MAP
       A__											=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





       def __init__(   self							:			Union[str, Any]					,      __lowerCamelCase							:			List[str]					,      __lowerCamelCase							:			List[str]="[GO]"					,      __lowerCamelCase							:			Dict="[GO]"					,      __lowerCamelCase							:			Optional[int]="[s]"					,      __lowerCamelCase							:			Union[str, Any]="[GO]"					,      **__lowerCamelCase							:			int       ):


             '''simple docstring'''



             super().__init__(
                 unk_token=__lowerCamelCase					,      bos_token=__lowerCamelCase					,      eos_token=__lowerCamelCase					,      pad_token=__lowerCamelCase					,      **__lowerCamelCase					,      )

             with open(__lowerCamelCase					,      encoding="utf-8"       ) as vocab_handle:
                   lowerCamelCase__		:				Any    =  json.load(__lowerCamelCase       )
             lowerCamelCase__		:				Optional[Any]    =  {v: k for k, v in self.vocab.items()}





       @property
       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



             return len(self.vocab       )





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             return dict(self.vocab					,      **self.added_tokens_encoder       )





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			Any       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  []
             for s in text:
                   char_tokens.extend(__lowerCamelCase       )
             return char_tokens





       def 						lowerCAmelCase     (   self							:			str					,      __lowerCamelCase							:			Tuple       ):


             '''simple docstring'''



             return self.vocab.get(__lowerCamelCase					,      self.vocab.get(self.unk_token       )       )





       def 						lowerCAmelCase     (   self							:			Union[str, Any]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             return self.decoder.get(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			Optional[str] = None       ):


             '''simple docstring'''



             if not os.path.isdir(__lowerCamelCase       ):
                   logger.error("Vocabulary path ({}) should be a directory".format(__lowerCamelCase       )       )
                   return
             lowerCamelCase__		:				Dict    =  os.path.join(
                 __lowerCamelCase					,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

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

             return (vocab_file,)






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


A      :    List[str]		=					logging.get_logger(__name__)







class 			_lowercase (							lowercase__):


       """simple docstring"""




       def __init__(   self							:			Optional[int]					,      *__lowerCamelCase							:			List[str]					,      **__lowerCamelCase							:			str       ):


             '''simple docstring'''



             warnings.warn(
                 "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                 " use BeitImageProcessor instead."					,      __lowerCamelCase					,      )
             super().__init__(*__lowerCamelCase					,      **__lowerCamelCase       )


