




'''simple docstring'''


import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin






class 		lowerCAmelCase_     (    UpperCAmelCase_    , unittest.TestCase				):







  '''simple docstring'''

  UpperCamelCase_       :	Any				       =							PhobertTokenizer
  UpperCamelCase_       :	Union[str, Any]				       =							False



  def  _snake_case			(      self							:				List[str]     )       ->						Optional[int]:







       '''simple docstring'''



       super().setUp()

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

       A:						List[Any]						=						os.path.join(self.tmpdirname ,   VOCAB_FILES_NAMES['''vocab_file''']     )
       A:						Optional[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(_lowerCAmelCase     )     )



  def  _snake_case			(      self							:				List[Any] ,   **SCREAMING_SNAKE_CASE_							:				Dict     )       ->						int:







       '''simple docstring'''



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



  def  _snake_case			(      self							:				str ,   SCREAMING_SNAKE_CASE_							:				Any     )       ->						Optional[Any]:







       '''simple docstring'''



       A:						Tuple						=						"Tôi là VinAI Research"
       A:						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  _snake_case			(      self							:				Optional[int]     )       ->						str:







       '''simple docstring'''



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

       A:						Dict						=						tokens + [tokenizer.unk_token]

       A:						Tuple						=						[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     )












from typing import TYPE_CHECKING

from ....utils import _LazyModule


_UpperCAmelCase		:  Dict	=   {"tokenization_tapex": ["TapexTokenizer"]}


if TYPE_CHECKING:
     from .tokenization_tapex import TapexTokenizer


else:
     import sys

     _UpperCAmelCase		:  Optional[Any]	=   _LazyModule(__name__, globals()["__file__"], _import_structure)



