

"""simple docstring"""




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 		_A       (			__a				,       unittest.TestCase					):
      __a								=	LayoutLMTokenizer
      __a								=	LayoutLMTokenizerFast
      __a								=	True
      __a								=	True





      def 					_lowerCamelCase  (  self		)   ->					Dict:
         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 					_lowerCamelCase  (  self    ,						**SCREAMING_SNAKE_CASE__		)   ->					str:
         return LayoutLMTokenizer.from_pretrained(self.tmpdirname    ,						**SCREAMING_SNAKE_CASE__		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					int:
         lowerCamelCase__						=			"UNwant\u00E9d,running"
         lowerCamelCase__						=			"unwanted, running"
         return input_text, output_text





      def 					_lowerCamelCase  (  self		)   ->					int:
         lowerCamelCase__						=			self.tokenizer_class(self.vocab_file		)

         lowerCamelCase__						=			tokenizer.tokenize("UNwant\u00E9d,running"		)
         self.assertListEqual(SCREAMING_SNAKE_CASE__    ,						["un", "##want", "##ed", ",", "runn", "##ing"]		)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)    ,						[7, 4, 5, 10, 8, 9]		)





      def 					_lowerCamelCase  (  self		)   ->					Optional[int]:
         pass







"""simple docstring"""




import numpy as np



def 	UpperCAmelCase__   (				A__   )      ->      np.array:




   """simple docstring"""
   return 1 / (1 + np.exp(-vector   ))


if __name__ == "__main__":
     import doctest

     doctest.testmod()




