

import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class 			_SCREAMING_SNAKE_CASE (   __snake_case					,       unittest.TestCase		):







   '''simple docstring'''




   lowerCamelCase__				=      PhobertTokenizer
   lowerCamelCase__				=      False





   def      _snake_case		(       self					:			Tuple			):
       super().setUp()

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

       SCREAMING_SNAKE_CASE										=   os.path.join(self.tmpdirname     , VOCAB_FILES_NAMES["vocab_file"]			)
       SCREAMING_SNAKE_CASE										=   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(__lowerCamelCase			)			)





   def      _snake_case		(       self					:			Dict     , **__lowerCamelCase					:			Optional[int]			):
       kwargs.update(self.special_tokens_map			)
       return PhobertTokenizer.from_pretrained(self.tmpdirname     , **__lowerCamelCase			)





   def      _snake_case		(       self					:			Any     , __lowerCamelCase					:			Optional[int]			):
       SCREAMING_SNAKE_CASE										=   "Tôi là VinAI Research"
       SCREAMING_SNAKE_CASE										=   "T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
       return input_text, output_text





   def      _snake_case		(       self					:			int			):
       SCREAMING_SNAKE_CASE										=   PhobertTokenizer(self.vocab_file     , self.merges_file     , **self.special_tokens_map			)
       SCREAMING_SNAKE_CASE										=   "Tôi là VinAI Research"
       SCREAMING_SNAKE_CASE										=   "T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
       SCREAMING_SNAKE_CASE										=   tokenizer.tokenize(__lowerCamelCase			)
       print(__lowerCamelCase			)
       self.assertListEqual(__lowerCamelCase     , __lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   tokens + [tokenizer.unk_token]

       SCREAMING_SNAKE_CASE										=   [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(__lowerCamelCase			)     , __lowerCamelCase			)


def 	__a     (      A__			:  float			,  A__			:  float       ):
    if mass < 0:
        raise ValueError("The mass of a body cannot be negative"       )
    return 0.5 * mass * abs(A__       ) * abs(A__       )


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)