




import json
import os
from typing import Optional, Tuple

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


UpperCamelCase								=					logging.get_logger(__name__)

UpperCamelCase								=					{'vocab_file': 'vocab.json'}

UpperCamelCase								=					{
    'vocab_file': {
        'mgp-str': 'https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json',
    }
}

UpperCamelCase								=					{'mgp-str': 27}





class 			__lowerCamelCase	(   UpperCamelCase__   ):




    """simple docstring"""

    snake_case__ =				VOCAB_FILES_NAMES
    snake_case__ =				PRETRAINED_VOCAB_FILES_MAP
    snake_case__ =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


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

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


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


    def        a				(	self					:					str       )				->	List[str]:
         return dict(self.vocab       ,     **self.added_tokens_encoder       )


    def        a				(	self					:					Optional[Any]       ,     SCREAMING_SNAKE_CASE__					:					Optional[Any]       )				->	Optional[int]:
         lowerCAmelCase__          =			[]
         for s in text:
              char_tokens.extend(SCREAMING_SNAKE_CASE__       )
         return char_tokens


    def        a				(	self					:					Any       ,     SCREAMING_SNAKE_CASE__					:					Optional[Any]       )				->	Optional[int]:
         return self.vocab.get(SCREAMING_SNAKE_CASE__       ,     self.vocab.get(self.unk_token       )       )


    def        a				(	self					:					List[Any]       ,     SCREAMING_SNAKE_CASE__					:					Dict       )				->	int:
         return self.decoder.get(SCREAMING_SNAKE_CASE__       )


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

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

         return (vocab_file,)






from statistics import mean, stdev



def 							_A       (						lowerCAmelCase_					: list       ,    lowerCAmelCase_					: int = 3      ):
     """simple docstring"""

     lowerCAmelCase__          =			min(lowerCAmelCase_      )
     lowerCAmelCase__          =			max(lowerCAmelCase_      )
     # normalize data
     return [round((x - x_min) / (x_max - x_min)       ,    lowerCAmelCase_      ) for x in data]






def 							_A       (						lowerCAmelCase_					: list       ,    lowerCAmelCase_					: int = 3      ):
     """simple docstring"""

     lowerCAmelCase__          =			mean(lowerCAmelCase_      )
     lowerCAmelCase__          =			stdev(lowerCAmelCase_      )
     # standardize data
     return [round((x - mu) / (sigma)       ,    lowerCAmelCase_      ) for x in data]
