

"""simple docstring"""




import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class 	_A						(					_UpperCAmelCase				,       unittest.TestCase):
  SCREAMING_SNAKE_CASE      : Any    =					BertweetTokenizer
  SCREAMING_SNAKE_CASE      : Tuple    =					False

  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        super().setUp()

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

        SCREAMING_SNAKE_CASE_			:					Tuple          =       os.path.join(self.tmpdirname	,   VOCAB_FILES_NAMES['vocab_file']   )
        SCREAMING_SNAKE_CASE_			:					str          =       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 	UpperCAmelCase      (			self	,   **_SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        kwargs.update(self.special_tokens_map   )
        return BertweetTokenizer.from_pretrained(self.tmpdirname	,   **lowerCAmelCase__   )

  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					str          =       'I am VinAI Research'
        SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
        return input_text, output_text



  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







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

        SCREAMING_SNAKE_CASE_			:					Dict          =       tokens + [tokenizer.unk_token]

        SCREAMING_SNAKE_CASE_			:					Tuple          =       [4, 3, 5, 6, 3, 3, 3, 4, 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


lowerCAmelCase       :				Tuple         =					{'tokenization_phobert': ['PhobertTokenizer']}


if TYPE_CHECKING:
    from .tokenization_phobert import PhobertTokenizer

else:
    import sys

    lowerCAmelCase       :				Optional[int]         =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






