



"""simple docstring"""




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class 			UpperCAmelCase_						(       _UpperCamelCase ,    unittest.TestCase		):
      __SCREAMING_SNAKE_CASE		:     List[Any]				  =				BertweetTokenizer
      __SCREAMING_SNAKE_CASE		:     Any				  =				False



      def 		snake_case_      (  self  :			Dict		):
           super().setUp()

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           _UpperCAmelCase    :			Any              =					["I", "m", "V@@", "R@@", "r", "e@@"]
           _UpperCAmelCase    :			int              =					dict(zip(A  ,			range(len(A		)		)		)		)
           _UpperCAmelCase    :			Any              =					["#version: 0.2", "a m</w>"]
           _UpperCAmelCase    :			List[str]              =					{"unk_token": "<unk>"}

           _UpperCAmelCase    :			int              =					os.path.join(self.tmpdirname  ,			VOCAB_FILES_NAMES["vocab_file"]		)
           _UpperCAmelCase    :			Any              =					os.path.join(self.tmpdirname  ,			VOCAB_FILES_NAMES["merges_file"]		)
           with open(self.vocab_file  ,			"w"  ,			encoding="utf-8"		) as fp:
                for token in vocab_tokens:
                     fp.write(f'{token} {vocab_tokens[token]}\n'		)
           with open(self.merges_file  ,			"w"  ,			encoding="utf-8"		) as fp:
                fp.write("\n".join(A		)		)



      def 		snake_case_      (  self  :			Dict  ,			**A  :			Dict		):
           kwargs.update(self.special_tokens_map		)
           return BertweetTokenizer.from_pretrained(self.tmpdirname  ,			**A		)



      def 		snake_case_      (  self  :			List[str]  ,			A  :			Optional[int]		):
           _UpperCAmelCase    :			int              =					"I am VinAI Research"
           _UpperCAmelCase    :			str              =					"I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
           return input_text, output_text



      def 		snake_case_      (  self  :			List[Any]		):
           _UpperCAmelCase    :			Dict              =					BertweetTokenizer(self.vocab_file  ,			self.merges_file  ,			**self.special_tokens_map		)
           _UpperCAmelCase    :			Dict              =					"I am VinAI Research"
           _UpperCAmelCase    :			Optional[Any]              =					"I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
           _UpperCAmelCase    :			List[Any]              =					tokenizer.tokenize(A		)
           self.assertListEqual(A  ,			A		)

           _UpperCAmelCase    :			Any              =					tokens + [tokenizer.unk_token]

           _UpperCAmelCase    :			Optional[Any]              =					[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(A		)  ,			A		)





"""simple docstring"""




def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     bool:





     '''simple docstring'''

     if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
          raise ValueError("Input series is not valid, valid series - [1, 2/3, 2]"       )
     if len(SCREAMING_SNAKE_CASE__       ) == 0:
          raise ValueError("Input list must be a non empty list"       )
     if len(SCREAMING_SNAKE_CASE__       ) == 1 and series[0] != 0:
          return True
     _UpperCAmelCase    :			Tuple              =					[]
     _UpperCAmelCase    :			Any              =					len(SCREAMING_SNAKE_CASE__       )
     for i in range(0		,						SCREAMING_SNAKE_CASE__       ):
          if series[i] == 0:
               raise ValueError("Input series cannot have 0 as an element"       )
          rec_series.append(1 / series[i]       )
     _UpperCAmelCase    :			Dict              =					rec_series[1] - rec_series[0]
     for index in range(2		,						SCREAMING_SNAKE_CASE__       ):
          if rec_series[index] - rec_series[index - 1] != common_diff:
               return False
     return True

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     float:





     '''simple docstring'''

     if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
          raise ValueError("Input series is not valid, valid series - [2, 4, 6]"       )
     if len(SCREAMING_SNAKE_CASE__       ) == 0:
          raise ValueError("Input list must be a non empty list"       )
     _UpperCAmelCase    :			Any              =					0
     for val in series:
          answer += 1 / val
     return len(SCREAMING_SNAKE_CASE__       ) / answer


if __name__ == "__main__":
 import doctest

 doctest.testmod()
