


'''simple docstring'''




import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 					a			(				snake_case__			,							unittest.TestCase  ):
 '''simple docstring'''




 __lowerCAmelCase						: Optional[int]							  =		LxmertTokenizer
 __lowerCAmelCase						: Any							  =		LxmertTokenizerFast
 __lowerCAmelCase						: Dict							  =		True
 __lowerCAmelCase						: Optional[int]							  =		True




 def   __UpperCamelCase   (    self      )      ->    Dict:
    super().setUp()

    _a					:  Union[str, Any]						=  [
        '[UNK]',
        '[CLS]',
        '[SEP]',
        'want',
        '##want',
        '##ed',
        'wa',
        'un',
        'runn',
        '##ing',
        ',',
        'low',
        'lowest',
    ]
    _a					:  Optional[Any]						=  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		,      lowerCamelCase_      )      ->    Optional[Any]:
    _a					:  Any						=  'UNwant\u00E9d,running'
    _a					:  Union[str, Any]						=  'unwanted, running'
    return input_text, output_text




 def   __UpperCamelCase   (    self      )      ->    List[Any]:
    _a					:  Dict						=  self.tokenizer_class(self.vocab_file      )

    _a					:  str						=  tokenizer.tokenize('UNwant\u00E9d,running'      )
    self.assertListEqual(lowerCamelCase_		,      ['un', '##want', '##ed', ',', 'runn', '##ing']      )
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_      )		,      [7, 4, 5, 1_0, 8, 9]      )




 def   __UpperCamelCase   (    self      )      ->    str:
    if not self.test_rust_tokenizer:
       return

    _a					:  Any						=  self.get_tokenizer()
    _a					:  List[str]						=  self.get_rust_tokenizer()

    _a					:  Optional[int]						=  'I was born in 92000, and this is falsé.'

    _a					:  Dict						=  tokenizer.tokenize(lowerCamelCase_      )
    _a					:  Tuple						=  rust_tokenizer.tokenize(lowerCamelCase_      )
    self.assertListEqual(lowerCamelCase_		,      lowerCamelCase_      )

    _a					:  Tuple						=  tokenizer.encode(lowerCamelCase_		,      add_special_tokens=lowerCamelCase_      )
    _a					:  Any						=  rust_tokenizer.encode(lowerCamelCase_		,      add_special_tokens=lowerCamelCase_      )
    self.assertListEqual(lowerCamelCase_		,      lowerCamelCase_      )

    _a					:  Tuple						=  self.get_rust_tokenizer()
    _a					:  List[Any]						=  tokenizer.encode(lowerCamelCase_      )
    _a					:  Dict						=  rust_tokenizer.encode(lowerCamelCase_      )
    self.assertListEqual(lowerCamelCase_		,      lowerCamelCase_      )






'''simple docstring'''




def    UpperCAmelCase_  (       A		,	A      ):
   '''simple docstring'''





   return "\n".join(
       f'''{number} * {i} = {number * i}''' for i in range(1		,	number_of_terms + 1      )      )


if __name__ == "__main__":
 print(multiplication_table(number=5, number_of_terms=10))


