




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 			a__    (					UpperCamelCase__      ):
						_a							:    Dict					=    VOCAB_FILES_NAMES
						_a							:    Any					=    PRETRAINED_VOCAB_FILES_MAP
						_a							:    List[str]					=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






						def __init__(   self		,			_A		,			_A="[GO]"		,			_A="[GO]"		,			_A="[s]"		,			_A="[GO]"		,			**_A			):




											"""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				   =       json.load(lowerCAmelCase__			)
											__lowerCAmelCase				   =       {v: k for k, v in self.vocab.items()}






						@property
						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											return len(self.vocab			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



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






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



											__lowerCAmelCase				   =       []
											for s in text:
																char_tokens.extend(lowerCAmelCase__			)
											return char_tokens






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



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






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A			):




											"""simple docstring"""



											return self.decoder.get(lowerCAmelCase__			)






						def 				__SCREAMING_SNAKE_CASE(   self		,			_A		,			_A = None			):




											"""simple docstring"""



											if not os.path.isdir(lowerCAmelCase__			):
																logger.error("Vocabulary path ({}) should be a directory".format(lowerCAmelCase__			)			)
																return
											__lowerCAmelCase				   =       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 __future__ import annotations
def      _A       (		SCREAMING_SNAKE_CASE     :   list						):





  """simple docstring"""



  if len(SCREAMING_SNAKE_CASE						) == 0:
    return []
  a__					,							a__	:					int										=min(SCREAMING_SNAKE_CASE						), max(SCREAMING_SNAKE_CASE						)
  a__	:					Optional[int]										=int(max_value - min_value						) + 1
  a__	:					list[list]										=[[] for _ in range(SCREAMING_SNAKE_CASE						)]

  for i in my_list:
    buckets[int(i - min_value						)].append(SCREAMING_SNAKE_CASE						)

  return [v for bucket in buckets for v in sorted(SCREAMING_SNAKE_CASE						)]


if __name__ == "__main__":
     from doctest import testmod

     testmod()
     assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
     assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]






