
import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCamelCase			:							Tuple         =     get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
class   SCREAMING_SNAKE_CASE__	(      __A				,unittest.TestCase   ):





	'''simple docstring'''



	_UpperCAmelCase			:						Tuple         =   XLMProphetNetTokenizer
	_UpperCAmelCase			:						Any         =   False
	_UpperCAmelCase			:						Union[str, Any]         =   True



	def 					A				(    self      :       List[Any]      ):


				'''simple docstring'''


				super().setUp()

				# We have a SentencePiece fixture for testing
				_snake_case            =     XLMProphetNetTokenizer(lowercase     ,    keep_accents=lowercase      )
				tokenizer.save_pretrained(self.tmpdirname      )



	def 					A				(    self      :       Tuple      ):


				'''simple docstring'''


				_snake_case            =     '''[PAD]'''
				_snake_case            =     0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase      )     ,    lowercase      )
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase      )     ,    lowercase      )



	def 					A				(    self      :       Dict      ):


				'''simple docstring'''


				_snake_case            =     list(self.get_tokenizer().get_vocab().keys()      )

				self.assertEqual(vocab_keys[0]     ,    '[PAD]'      )
				self.assertEqual(vocab_keys[1]     ,    '[CLS]'      )
				self.assertEqual(vocab_keys[-1]     ,    'j'      )
				self.assertEqual(len(lowercase      )     ,    1_012      )



	def 					A				(    self      :       Optional[Any]      ):


				'''simple docstring'''


				self.assertEqual(self.get_tokenizer().vocab_size     ,    1_012      )



	def 					A				(    self      :       Any      ):


				'''simple docstring'''


				_snake_case            =     XLMProphetNetTokenizer(lowercase     ,    keep_accents=lowercase      )

				_snake_case            =     tokenizer.tokenize('This is a test'      )
				self.assertListEqual(lowercase     ,    ['▁This', '▁is', '▁a', '▁t', 'est']      )

				self.assertListEqual(
				    tokenizer.convert_tokens_to_ids(lowercase      )     ,    [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]     ,    )

				_snake_case            =     tokenizer.tokenize('I was born in 92000, and this is falsé.'      )
				self.assertListEqual(
				    lowercase     ,    [
				        SPIECE_UNDERLINE + 'I',
				        SPIECE_UNDERLINE + 'was',
				        SPIECE_UNDERLINE + 'b',
				        'or',
				        'n',
				        SPIECE_UNDERLINE + 'in',
				        SPIECE_UNDERLINE + '',
				        '9',
				        '2',
				        '0',
				        '0',
				        '0',
				        ',',
				        SPIECE_UNDERLINE + 'and',
				        SPIECE_UNDERLINE + 'this',
				        SPIECE_UNDERLINE + 'is',
				        SPIECE_UNDERLINE + 'f',
				        'al',
				        's',
				        'é',
				        '.',
				    ]     ,    )
				_snake_case            =     tokenizer.convert_tokens_to_ids(lowercase      )
				self.assertListEqual(
				    lowercase     ,    [
				        value + tokenizer.fairseq_offset
				        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
				    ]     ,    )

				_snake_case            =     tokenizer.convert_ids_to_tokens(lowercase      )
				self.assertListEqual(
				    lowercase     ,    [
				        SPIECE_UNDERLINE + 'I',
				        SPIECE_UNDERLINE + 'was',
				        SPIECE_UNDERLINE + 'b',
				        'or',
				        'n',
				        SPIECE_UNDERLINE + 'in',
				        SPIECE_UNDERLINE + '',
				        '[UNK]',
				        '2',
				        '0',
				        '0',
				        '0',
				        ',',
				        SPIECE_UNDERLINE + 'and',
				        SPIECE_UNDERLINE + 'this',
				        SPIECE_UNDERLINE + 'is',
				        SPIECE_UNDERLINE + 'f',
				        'al',
				        's',
				        '[UNK]',
				        '.',
				    ]     ,    )



	@cached_property
	def 					A				(    self      :       List[Any]      ):


				'''simple docstring'''


				return XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'      )



	@slow
	def 					A				(    self      :       List[Any]      ):


				'''simple docstring'''


				_snake_case            =     '''Hello World!'''
				_snake_case            =     [35_389, 6_672, 49, 2]
				self.assertListEqual(lowercase     ,    self.big_tokenizer.encode(lowercase      )      )





	@slow
	def 					A				(    self      :       List[Any]      ):


				'''simple docstring'''


				_snake_case            =     {'''input_ids''': [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=lowercase     ,    model_name='microsoft/xprophetnet-large-wiki100-cased'     ,    revision='1acad1643ddd54a44df6a1b797ada8373685d90e'     ,    )







'''simple docstring'''



from math import isqrt


def 				lowercase_					(     __A			:							int      )							->   list[int]:



 """simple docstring"""




 lowercase       : Dict						=[True] * max_number
 for i in range(2       ,   isqrt(max_number - 1      ) + 1      ):
  if is_prime[i]:
   for j in range(i**2       ,   __A       ,   __A      ):
    lowercase       : str						=False

 return [i for i in range(2       ,   __A      ) if is_prime[i]]


def 				lowercase_					(     __A			:							int = 1_0**8      )							->   int:



 """simple docstring"""




 lowercase       : Dict						=calculate_prime_numbers(max_number // 2      )

 lowercase       : str						=0
 lowercase       : Optional[Any]						=0
 lowercase       : Union[str, Any]						=len(__A      ) - 1
 while left <= right:
  while prime_numbers[left] * prime_numbers[right] >= max_number:
   right -= 1
  semiprimes_count += right - left + 1
  left += 1

 return semiprimes_count


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



