




from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
lowercase__      :			Optional[Any]           =					TypeVar("T", bound="Enum")




@unique
class 			a__       (					UpperCamelCase__      ):
     a		:			Tuple							=	80
     a		:			Optional[int]							=	70
     a		:			Optional[Any]							=	60
     a		:			Union[str, Any]							=	50
     a		:			Tuple							=	40
     a		:			Optional[int]							=	30
     a		:			int							=	20
     a		:			Tuple							=	10







@unique
class 			a__       (					UpperCamelCase__      ):
     a		:			Union[str, Any]							=	24
     a		:			Tuple							=	21
     a		:			int							=	18
     a		:			Any							=	15
     a		:			Tuple							=	12
     a		:			str							=	9
     a		:			Optional[Any]							=	6
     a		:			Union[str, Any]							=	3
     a		:			Optional[int]							=	2
     a		:			Optional[Any]							=	1
     a		:			str							=	-1
     a		:			str							=	-2
     a		:			Dict							=	-3
     a		:			Tuple							=	-6
     a		:			Dict							=	-9
     a		:			Tuple							=	-12
     a		:			Tuple							=	-15
     a		:			List[str]							=	-18
     a		:			Optional[int]							=	-21
     a		:			Tuple							=	-24







     @classmethod
     def 			lowerCAmelCase_				(	cls )  ->    dict:



          '''simple docstring'''



          return {unit.name: unit.value for unit in cls if unit.value > 0}







     @classmethod
     def 			lowerCAmelCase_				(	cls )  ->    dict:



          '''simple docstring'''



          return {unit.name: unit.value for unit in cls if unit.value < 0}







def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     str:
     a      =      SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
     for name_prefix, value_prefix in prefixes.items():
          a      =      value / (10**value_prefix)
          if numerical_part > 1:
               return f'''{numerical_part!s} {name_prefix}'''
     return str(__UpperCamelCase)

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     str:
     for prefix in BinaryUnit:
          a      =      value / (2**prefix.value)
          if numerical_part > 1:
               return f'''{numerical_part!s} {prefix.name}'''
     return str(__UpperCamelCase)


if __name__ == "__main__":
   import doctest

   doctest.testmod()







import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			a__       (					UpperCamelCase__   ,					unittest.TestCase      ):
     a		:			Dict							=	MPNetTokenizer
     a		:			Dict							=	MPNetTokenizerFast
     a		:			Optional[int]							=	True
     a		:			Any							=	True







     def 			lowerCAmelCase_				(	self )  ->    Any:



          '''simple docstring'''



          super().setUp()

          a      =      [
              "[UNK]",
              "[CLS]",
              "[SEP]",
              "[PAD]",
              "[MASK]",
              "want",
              "##want",
              "##ed",
              "wa",
              "un",
              "runn",
              "##ing",
              ",",
              "low",
              "lowest",
          ]
          a      =      os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES["vocab_file"] )
          with open(self.vocab_file  ,		"w"  ,		encoding="utf-8" ) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in vocab_tokens] ) )







     def 			lowerCAmelCase_				(	self  ,		A )  ->    Any:



          '''simple docstring'''



          a      =      "UNwant\u00E9d,running"
          a      =      "unwanted, running"
          return input_text, output_text







     def 			lowerCAmelCase_				(	self )  ->    List[Any]:



          '''simple docstring'''



          a      =      self.tokenizer_class(self.vocab_file )

          a      =      tokenizer.tokenize("UNwant\u00E9d,running" )
          self.assertListEqual(A  ,		["un", "##want", "##ed", ",", "runn", "##ing"] )
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A )  ,		[9, 6, 7, 12, 10, 11] )







     @slow
     def 			lowerCAmelCase_				(	self )  ->    Dict:



          '''simple docstring'''



          a      =      self.tokenizer_class.from_pretrained("microsoft/mpnet-base" )

          a      =      tokenizer.encode("sequence builders"  ,		add_special_tokens=A )
          a      =      tokenizer.encode("multi-sequence build"  ,		add_special_tokens=A )

          a      =      tokenizer.build_inputs_with_special_tokens(A )
          a      =      tokenizer.build_inputs_with_special_tokens(A  ,		A )

          assert encoded_sentence == [0] + text + [2]
          assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]

