






'''simple docstring'''







import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 					a__    (			__UpperCAmelCase ,						unittest.TestCase						):
					'''simple docstring'''







					_snake_case             =  MPNetTokenizer
					_snake_case             =  MPNetTokenizerFast
					_snake_case             =  True
					_snake_case             =  True






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

											__A		   =      [
											    "[UNK]",
											    "[CLS]",
											    "[SEP]",
											    "[PAD]",
											    "[MASK]",
											    "want",
											    "##want",
											    "##ed",
											    "wa",
											    "un",
											    "runn",
											    "##ing",
											    ",",
											    "low",
											    "lowest",
											]
											__A		   =      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    :	Union[str, Any]				,				lowercase__    :	Dict					)  ->       int:
											__A		   =      "UNwant\u00E9d,running"
											__A		   =      "unwanted, running"
											return input_text, output_text






					def     _UpperCamelCase   (self    :	Union[str, Any]					)  ->       Any:
											__A		   =      self.tokenizer_class(self.vocab_file					)

											__A		   =      tokenizer.tokenize("UNwant\u00E9d,running"					)
											self.assertListEqual(lowerCamelCase__				,				["un", "##want", "##ed", ",", "runn", "##ing"]					)
											self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__					)				,				[9, 6, 7, 12, 10, 11]					)






					@slow
					def     _UpperCamelCase   (self    :	str					)  ->       Optional[int]:
											__A		   =      self.tokenizer_class.from_pretrained("microsoft/mpnet-base"					)

											__A		   =      tokenizer.encode("sequence builders"				,				add_special_tokens=lowerCamelCase__					)
											__A		   =      tokenizer.encode("multi-sequence build"				,				add_special_tokens=lowerCamelCase__					)

											__A		   =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase__					)
											__A		   =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase__				,				lowerCamelCase__					)

											assert encoded_sentence == [0] + text + [2]
											assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]










'''simple docstring'''







def 						_UpperCamelCase							(     snake_case__							,			snake_case__							):
      if n < 0:
            return 0
      # table[i] represents the number of ways to get to amount i
      __A		   =      [0] * (n + 1)

      # There is exactly 1 way to get to zero(You pick no coins).
      __A		   =      1

      # Pick all coins one by one and update table[] values
      # after the index greater than or equal to the value of the
      # picked coin
      for coin_val in s:
            for j in range(snake_case__							,			n + 1							):
                  table[j] += table[j - coin_val]

      return table[n]


if __name__ == "__main__":
       import doctest

       doctest.testmod()


