





import json
import os
from typing import Optional, Tuple

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


UpperCAmelCase	:	str		     =       logging.get_logger(__name__)

UpperCAmelCase	:	Dict		     =       {"""vocab_file""": """vocab.json"""}

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

UpperCAmelCase	:	Tuple		     =       {"""mgp-str""": 27}







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Dict						=			VOCAB_FILES_NAMES
      _lowercase				:					Any						=			PRETRAINED_VOCAB_FILES_MAP
      _lowercase				:					List[str]						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







      def __init__(    self		,      lowerCAmelCase__		,      lowerCAmelCase__="[GO]"		,      lowerCAmelCase__="[GO]"		,      lowerCAmelCase__="[s]"		,      lowerCAmelCase__="[GO]"		,      **lowerCAmelCase__							)   ->						List[str]:



        '''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:
          a__	:					List[str]										=json.load(lowerCAmelCase__							)
        a__	:					int										={v: k for k, v in self.vocab.items()}







      @property
      def    _lowercase  (    self							)   ->						Optional[Any]:



        '''simple docstring'''




        return len(self.vocab							)







      def    _lowercase  (    self							)   ->						Optional[int]:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						List[Any]:



        '''simple docstring'''




        a__	:					List[Any]										=[]
        for s in text:
          char_tokens.extend(lowerCAmelCase__							)
        return char_tokens







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						List[str]:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						List[str]:



        '''simple docstring'''




        return self.decoder.get(lowerCAmelCase__							)







      def    _lowercase  (    self		,      lowerCAmelCase__		,      lowerCAmelCase__ = None							)   ->						Tuple[str]:



        '''simple docstring'''




        if not os.path.isdir(lowerCAmelCase__							):
          logger.error("Vocabulary path ({}) should be a directory".format(lowerCAmelCase__							)							)
          return
        a__	:					Union[str, Any]										=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,)













from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader







class 				__lowerCAmelCase       (    UpperCamelCase__):







      def __init__(    self		,      lowerCAmelCase__		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = False		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = "arrow"		,      **lowerCAmelCase__		,      )   ->						Optional[int]:



        '''simple docstring'''




        super().__init__(
            split=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      keep_in_memory=lowerCAmelCase__		,      streaming=lowerCAmelCase__		,      **lowerCAmelCase__		,      )
        a__	:					int										=load_from_cache_file
        a__	:					Tuple										=file_format
        a__	:					List[Any]										=Spark(
            df=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      working_dir=lowerCAmelCase__		,      **lowerCAmelCase__		,      )







      def    _lowercase  (    self							)   ->						str:



        '''simple docstring'''




        if self.streaming:
          return self.builder.as_streaming_dataset(split=self.split							)
        a__	:					str										=None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
        self.builder.download_and_prepare(
            download_mode=lowerCAmelCase__		,      file_format=self._file_format		,      )
        return self.builder.as_dataset(split=self.split							)






