






import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 							_UpperCamelCase			(a_							,		unittest.TestCase			):
      snake_case_  =							LayoutLMTokenizer
      snake_case_  =							LayoutLMTokenizerFast
      snake_case_  =							True
      snake_case_  =							True


      def  __UpperCAmelCase		(	self	)->	Optional[Any]:
           super().setUp()

           __lowerCAmelCase								=					[
               "[UNK]",
               "[CLS]",
               "[SEP]",
               "want",
               "##want",
               "##ed",
               "wa",
               "un",
               "runn",
               "##ing",
               ",",
               "low",
               "lowest",
           ]
           __lowerCAmelCase								=					os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["vocab_file"]	)
           with open(self.vocab_file					,						"w"					,						encoding="utf-8"	) as vocab_writer:
                vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)


      def  __UpperCAmelCase		(	self					,						**__UpperCamelCase	)->	Union[str, Any]:
           return LayoutLMTokenizer.from_pretrained(self.tmpdirname					,						**__UpperCamelCase	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	int:
           __lowerCAmelCase								=					"UNwant\u00E9d,running"
           __lowerCAmelCase								=					"unwanted, running"
           return input_text, output_text


      def  __UpperCAmelCase		(	self	)->	Optional[Any]:
           __lowerCAmelCase								=					self.tokenizer_class(self.vocab_file	)

           __lowerCAmelCase								=					tokenizer.tokenize("UNwant\u00E9d,running"	)
           self.assertListEqual(__UpperCamelCase					,						["un", "##want", "##ed", ",", "runn", "##ing"]	)
           self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase	)					,						[7, 4, 5, 1_0, 8, 9]	)


      def  __UpperCAmelCase		(	self	)->	Any:
           pass














lowerCamelCase			:					str         =	'''
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCamelCase			:					Tuple         =	[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCamelCase			:					Dict         =	{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






