





'''simple docstring'''


import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class       a_   (				snake_case_	,						unittest.TestCase							):
     __A      =			PhobertTokenizer
     __A      =			False





     def 							lowercase__      ( self		:					int						):





        """simple docstring"""




        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase_			:Tuple    			= ["T@@", "i", "I", "R@@", "r", "e@@"]
        lowercase_			:Any    			= dict(zip(UpperCamelCase__	,      range(len(UpperCamelCase__						)						)						)						)
        lowercase_			:List[Any]    			= ["#version: 0.2", "l à</w>"]
        lowercase_			:Union[str, Any]    			= {"unk_token": "<unk>"}

        lowercase_			:Union[str, Any]    			= os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["vocab_file"]						)
        lowercase_			:List[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(UpperCamelCase__						)						)





     def 							lowercase__      ( self		:					int	,      **lowercase		:					Dict						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return PhobertTokenizer.from_pretrained(self.tmpdirname	,      **UpperCamelCase__						)





     def 							lowercase__      ( self		:					str	,      lowercase		:					Optional[int]						):





        """simple docstring"""




        lowercase_			:str    			= "Tôi là VinAI Research"
        lowercase_			:Union[str, Any]    			= "T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
        return input_text, output_text







     def 							lowercase__      ( self		:					List[str]						):





        """simple docstring"""




        lowercase_			:Dict    			= PhobertTokenizer(self.vocab_file	,      self.merges_file	,      **self.special_tokens_map						)
        lowercase_			:Optional[Any]    			= "Tôi là VinAI Research"
        lowercase_			:Dict    			= "T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
        lowercase_			:Tuple    			= tokenizer.tokenize(UpperCamelCase__						)
        print(UpperCamelCase__						)
        self.assertListEqual(UpperCamelCase__	,      UpperCamelCase__						)

        lowercase_			:Optional[int]    			= tokens + [tokenizer.unk_token]

        lowercase_			:Dict    			= [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__						)	,      UpperCamelCase__						)






"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list[int] )	->						float:


    """simple docstring"""





    if not nums:  # Makes sure that the list is not empty
        raise ValueError("List is empty" )

    snake_case    :      List[str]      					=    sum(lowercase ) / len(lowercase )  # Calculate the average
    return sum(abs(x - average ) for x in nums ) / len(lowercase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





