



"""simple docstring"""






import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class 	__snake_case	(     _lowercase  ,					unittest.TestCase):
		snake_case__    :       List[Any]        =						XLMTokenizer
		snake_case__    :       Union[str, Any]        =						False




		def 						SCREAMING_SNAKE_CASE    (			self					:						int		):






									"""simple docstring"""






									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									_lowerCamelCase						:    Any         =			[
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''w</w>''',
									    '''r</w>''',
									    '''t</w>''',
									    '''lo''',
									    '''low''',
									    '''er</w>''',
									    '''low</w>''',
									    '''lowest</w>''',
									    '''newer</w>''',
									    '''wider</w>''',
									    '''<unk>''',
									]
									_lowerCamelCase						:    str         =			dict(zip(__lowerCAmelCase						, range(len(__lowerCAmelCase		)		)		)		)
									_lowerCamelCase						:    Tuple         =			['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

									_lowerCamelCase						:    Tuple         =			os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''vocab_file''']		)
									_lowerCamelCase						:    List[Any]         =			os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''merges_file''']		)
									with open(self.vocab_file						, '''w'''		) as fp:
																fp.write(json.dumps(__lowerCAmelCase		)		)
									with open(self.merges_file						, '''w'''		) as fp:
																fp.write('''\n'''.join(__lowerCAmelCase		)		)




		def 						SCREAMING_SNAKE_CASE    (			self					:						Union[str, Any]						, __lowerCAmelCase					:						Tuple		):






									"""simple docstring"""






									_lowerCamelCase						:    List[str]         =			'''lower newer'''
									_lowerCamelCase						:    List[Any]         =			'''lower newer'''
									return input_text, output_text




		def 						SCREAMING_SNAKE_CASE    (			self					:						Any		):






									"""simple docstring"""






									_lowerCamelCase						:    List[Any]         =			XLMTokenizer(self.vocab_file						, self.merges_file		)

									_lowerCamelCase						:    Dict         =			'''lower'''
									_lowerCamelCase						:    Union[str, Any]         =			['''low''', '''er</w>''']
									_lowerCamelCase						:    List[str]         =			tokenizer.tokenize(__lowerCAmelCase		)
									self.assertListEqual(__lowerCAmelCase						, __lowerCAmelCase		)

									_lowerCamelCase						:    Optional[int]         =			tokens + ['''<unk>''']
									_lowerCamelCase						:    Any         =			[1_4, 1_5, 2_0]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase		)						, __lowerCAmelCase		)




		@slow
		def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]		):






									"""simple docstring"""






									_lowerCamelCase						:    Optional[int]         =			XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''		)

									_lowerCamelCase						:    Optional[int]         =			tokenizer.encode('''sequence builders'''						, add_special_tokens=__lowerCAmelCase		)
									_lowerCamelCase						:    Any         =			tokenizer.encode('''multi-sequence build'''						, add_special_tokens=__lowerCAmelCase		)

									_lowerCamelCase						:    int         =			tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase		)
									_lowerCamelCase						:    List[str]         =			tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase						, __lowerCAmelCase		)

									assert encoded_sentence == [0] + text + [1]
									assert encoded_pair == [0] + text + [1] + text_a + [1]







"""simple docstring"""






from itertools import permutations






def 	snake_case_  (				A_ :		tuple						):


       '''simple docstring'''





       if num[3] % 2 != 0:
              return False

       if (num[2] + num[3] + num[4]) % 3 != 0:
              return False

       if num[5] % 5 != 0:
              return False

       _lowerCamelCase						:    Any         =			[7, 11, 13, 17]
       for i, test in enumerate(A_						):
              if (num[i + 4] * 1_00 + num[i + 5] * 10 + num[i + 6]) % test != 0:
                     return False
       return True






def 	snake_case_  (				A_ :		int = 10						):


       '''simple docstring'''





       return sum(
           int(''''''.join(map(A_,    A_						)						)						)
           for num in permutations(range(A_						)						)
           if is_substring_divisible(A_						)						)


if __name__ == "__main__":
   print(F"""{solution() = }""")


