


'''simple docstring'''

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     __lowerCAmelCase		(lowercase_    ,	unittest.TestCase	):





      '''simple docstring'''






      lowerCAmelCase__   :	Dict       =				XLMProphetNetTokenizer
      lowerCAmelCase__   :	List[Any]       =				False
      lowerCAmelCase__   :	Any       =				True



      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             super().setUp()

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



      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             lowercase__      =					'''[PAD]'''
             lowercase__      =					0

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



      def  UpperCamelCase__						(self       :       Optional[int]					):

             '''simple docstring'''







             lowercase__      =					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(snake_case__					)  ,		1012					)



      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             self.assertEqual(self.get_tokenizer().vocab_size  ,		1012					)



      def  UpperCamelCase__						(self       :       Optional[Any]					):

             '''simple docstring'''







             lowercase__      =					XLMProphetNetTokenizer(snake_case__  ,		keep_accents=snake_case__					)

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

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

             lowercase__      =					tokenizer.tokenize('''I was born in 92000, and this is falsé.'''					)
             self.assertListEqual(
                 snake_case__  ,		[
                     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''',
                     '''.''',
                 ]  ,		)
             lowercase__      =					tokenizer.convert_tokens_to_ids(snake_case__					)
             self.assertListEqual(
                 snake_case__  ,		[
                     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]
                 ]  ,		)

             lowercase__      =					tokenizer.convert_ids_to_tokens(snake_case__					)
             self.assertListEqual(
                 snake_case__  ,		[
                     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  UpperCamelCase__						(self       :       Tuple					):

             '''simple docstring'''







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



      @slow
      def  UpperCamelCase__						(self       :       Any					):

             '''simple docstring'''







             lowercase__      =					'''Hello World!'''
             lowercase__      =					[35389, 6672, 49, 2]
             self.assertListEqual(snake_case__  ,		self.big_tokenizer.encode(snake_case__					)					)






      @slow
      def  UpperCamelCase__						(self       :       Optional[Any]					):

             '''simple docstring'''







             lowercase__      =					{'''input_ids''': [[11073, 82783, 18, 26, 82783, 549, 51540, 248, 17209, 1301, 217, 20, 215186, 1325, 147, 17209, 1301, 217, 20, 56370, 53, 122020, 20, 16477, 27, 87355, 4548, 20, 4728, 78392, 17, 159969, 18, 26, 24491, 629, 15, 538, 22704, 5439, 15, 2788, 24491, 9885, 15, 43534, 605, 15, 814, 18403, 33200, 29, 15, 43534, 24458, 12410, 111, 24966, 83669, 9637, 144068, 26, 850, 22346, 27, 147, 24966, 83669, 83490, 26, 39113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 122020, 115785, 34, 816, 1339, 46887, 18, 147, 53905, 1951, 42238, 41170, 17732, 834, 436, 15, 27523, 98733, 217, 147, 5542, 4981, 930, 17347, 16, 2], [20091, 629, 94, 82786, 58, 490, 20, 1528, 84, 53905, 344, 80592, 110128, 18822, 5267, 1306, 62, 152537, 308, 7997, 401, 124427, 549, 35442, 225, 109, 15055, 25748, 147, 7119, 43712, 34, 767, 135366, 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, 63784, 119466, 17, 147808, 88214, 18, 656, 81, 32, 3296, 10280, 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=snake_case__  ,		model_name='''microsoft/xprophetnet-large-wiki100-cased'''  ,		revision='''1acad1643ddd54a44df6a1b797ada8373685d90e'''  ,		)







import math


def 							__lowerCAmelCase     (							_UpperCamelCase		:	int						)		->				list[int]:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE		    =      []
 SCREAMING_SNAKE_CASE		    =      2
 SCREAMING_SNAKE_CASE		    =      int(math.sqrt(_UpperCamelCase						)						)  # Size of every segment
 SCREAMING_SNAKE_CASE		    =      [True] * (end + 1)
 SCREAMING_SNAKE_CASE		    =      []

 while start <= end:
  if temp[start] is True:
   in_prime.append(_UpperCamelCase						)
   for i in range(start * start		,				end + 1		,				_UpperCamelCase						):
    SCREAMING_SNAKE_CASE		    =      False
  start += 1
 prime += in_prime

 SCREAMING_SNAKE_CASE		    =      end + 1
 SCREAMING_SNAKE_CASE		    =      min(2 * end		,				_UpperCamelCase						)

 while low <= n:
  SCREAMING_SNAKE_CASE		    =      [True] * (high - low + 1)
  for each in in_prime:
   SCREAMING_SNAKE_CASE		    =      math.floor(low / each						) * each
   if t < low:
    t += each

   for j in range(_UpperCamelCase		,				high + 1		,				_UpperCamelCase						):
    SCREAMING_SNAKE_CASE		    =      False

  for j in range(len(_UpperCamelCase						)						):
   if temp[j] is True:
    prime.append(j + low						)

  SCREAMING_SNAKE_CASE		    =      high + 1
  SCREAMING_SNAKE_CASE		    =      min(high + end		,				_UpperCamelCase						)

 return prime




print(sieve(10**6))

