


'''simple docstring'''
def 			a      (			__a = 2000000   )  ->	str:



					'''simple docstring'''






					UpperCamelCase__   :Optional[Any]												= [0 for i in range(n + 1   )]
					UpperCamelCase__   :int												= 1
					UpperCamelCase__   :int												= 1

					for i in range(2 ,					int(n**0.5   ) + 1   ):
										if primality_list[i] == 0:
															for j in range(i * i ,					n + 1 ,					_snake_case   ):
																				UpperCamelCase__   :Dict												= 1
					UpperCamelCase__   :str												= 0
					for i in range(_snake_case   ):
										if primality_list[i] == 0:
															sum_of_primes += i
					return sum_of_primes


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


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class 	__magic_name__    (			lowerCAmelCase_  ,    unittest.TestCase      ):
			SCREAMING_SNAKE_CASE							   =						RoCBertTokenizer
			SCREAMING_SNAKE_CASE							   =						None
			SCREAMING_SNAKE_CASE							   =						False
			SCREAMING_SNAKE_CASE							   =						True
			SCREAMING_SNAKE_CASE							   =						filter_non_english





			def 		__magic_name__    (		self					)   -> Tuple:




						'''simple docstring'''
						super().setUp()

						__a        =['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
						__a        ={}
						__a        ={}
						for i, value in enumerate(__snake_case					):
									__a        =i
									__a        =i
						__a        =os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['vocab_file']					)
						__a        =os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['word_shape_file']					)
						__a        =os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['word_pronunciation_file']					)
						with open(self.vocab_file					,  'w'					,  encoding='utf-8'					) as vocab_writer:
									vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]					)					)
						with open(self.word_shape_file					,  'w'					,  encoding='utf-8'					) as word_shape_writer:
									json.dump(__snake_case					,  __snake_case					,  ensure_ascii=__snake_case					)
						with open(self.word_pronunciation_file					,  'w'					,  encoding='utf-8'					) as word_pronunciation_writer:
									json.dump(__snake_case					,  __snake_case					,  ensure_ascii=__snake_case					)





			def 		__magic_name__    (		self					)   -> Any:




						'''simple docstring'''
						__a        =self.tokenizer_class(self.vocab_file					,  self.word_shape_file					,  self.word_pronunciation_file					)

						__a        =tokenizer.tokenize('你好[SEP]你是谁'					)
						self.assertListEqual(__snake_case					,  ['你', '好', '[SEP]', '你', '是', '谁']					)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case					)					,  [5, 6, 2, 5, 7, 8]					)
						self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__snake_case					)					,  [5, 6, 2, 5, 7, 8]					)
						self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__snake_case					)					,  [5, 6, 2, 5, 7, 8]					)





			def 		__magic_name__    (		self					)   -> Any:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer()

						self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'					)					,  ['ah', '\u535A', '\u63A8', 'zz']					)





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '					)					,  ['hello', '!', 'how', 'are', 'you', '?']					)
						self.assertListEqual(tokenizer.tokenize('H\u00E9llo'					)					,  ['hello']					)





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					,  strip_accents=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '					)					,  ['hällo', '!', 'how', 'are', 'you', '?']					)
						self.assertListEqual(tokenizer.tokenize('H\u00E9llo'					)					,  ['h\u00E9llo']					)





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					,  strip_accents=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '					)					,  ['hallo', '!', 'how', 'are', 'you', '?']					)
						self.assertListEqual(tokenizer.tokenize('H\u00E9llo'					)					,  ['hello']					)





			def 		__magic_name__    (		self					)   -> int:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '					)					,  ['hallo', '!', 'how', 'are', 'you', '?']					)
						self.assertListEqual(tokenizer.tokenize('H\u00E9llo'					)					,  ['hello']					)





			def 		__magic_name__    (		self					)   -> Dict:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '					)					,  ['HeLLo', '!', 'how', 'Are', 'yoU', '?']					)





			def 		__magic_name__    (		self					)   -> Union[str, Any]:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					,  strip_accents=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '					)					,  ['HäLLo', '!', 'how', 'Are', 'yoU', '?']					)





			def 		__magic_name__    (		self					)   -> int:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					,  strip_accents=__snake_case					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '					)					,  ['HaLLo', '!', 'how', 'Are', 'yoU', '?']					)





			def 		__magic_name__    (		self					)   -> Tuple:




						'''simple docstring'''
						__a        =RoCBertBasicTokenizer(do_lower_case=__snake_case					,  never_split=['[UNK]']					)

						self.assertListEqual(
						    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'					)					,  ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']					)





			def 		__magic_name__    (		self					)   -> int:




						'''simple docstring'''
						__a        =['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

						__a        ={}
						for i, token in enumerate(__snake_case					):
									__a        =i
						__a        =RoCBertWordpieceTokenizer(vocab=__snake_case					,  unk_token='[UNK]'					)

						self.assertListEqual(tokenizer.tokenize(''					)					,  []					)

						self.assertListEqual(tokenizer.tokenize('unwanted running'					)					,  ['un', '##want', '##ed', 'runn', '##ing']					)

						self.assertListEqual(tokenizer.tokenize('unwantedX running'					)					,  ['[UNK]', 'runn', '##ing']					)





			def 		__magic_name__    (		self					)   -> str:




						'''simple docstring'''
						self.assertTrue(_is_whitespace(' '					)					)
						self.assertTrue(_is_whitespace('\t'					)					)
						self.assertTrue(_is_whitespace('\r'					)					)
						self.assertTrue(_is_whitespace('\n'					)					)
						self.assertTrue(_is_whitespace('\u00A0'					)					)

						self.assertFalse(_is_whitespace('A'					)					)
						self.assertFalse(_is_whitespace('-'					)					)





			def 		__magic_name__    (		self					)   -> Optional[int]:




						'''simple docstring'''
						self.assertTrue(_is_control('\u0005'					)					)

						self.assertFalse(_is_control('A'					)					)
						self.assertFalse(_is_control(' '					)					)
						self.assertFalse(_is_control('\t'					)					)
						self.assertFalse(_is_control('\r'					)					)





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						self.assertTrue(_is_punctuation('-'					)					)
						self.assertTrue(_is_punctuation('$'					)					)
						self.assertTrue(_is_punctuation('`'					)					)
						self.assertTrue(_is_punctuation('.'					)					)

						self.assertFalse(_is_punctuation('A'					)					)
						self.assertFalse(_is_punctuation(' '					)					)





			def 		__magic_name__    (		self					)   -> Any:




						'''simple docstring'''
						__a        =self.get_tokenizer()

						# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
						self.assertListEqual([tokenizer.tokenize(__snake_case					) for t in ['Test', '\xad', 'test']]					,  [['[UNK]'], [], ['[UNK]']]					)

						if self.test_rust_tokenizer:
									__a        =self.get_rust_tokenizer()
									self.assertListEqual(
									    [rust_tokenizer.tokenize(__snake_case					) for t in ['Test', '\xad', 'test']]					,  [['[UNK]'], [], ['[UNK]']]					)





			def 		__magic_name__    (		self					)   -> Any:




						'''simple docstring'''
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
												__a        =self.rust_tokenizer_class.from_pretrained(__snake_case					,  **__snake_case					)

												__a        =f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
												__a        =tokenizer_r.encode_plus(
												    __snake_case					,  return_attention_mask=__snake_case					,  return_token_type_ids=__snake_case					,  return_offsets_mapping=__snake_case					,  add_special_tokens=__snake_case					,  )

												__a        =tokenizer_r.do_lower_case if hasattr(__snake_case					,  'do_lower_case'					) else False
												__a        =(
												    [
												        ((0, 0), tokenizer_r.cls_token),
												        ((0, 1), 'A'),
												        ((1, 2), ','),
												        ((3, 5), 'na'),
												        ((5, 6), '##ï'),
												        ((6, 8), '##ve'),
												        ((9, 15), tokenizer_r.mask_token),
												        ((16, 21), 'Allen'),
												        ((21, 23), '##NL'),
												        ((23, 24), '##P'),
												        ((25, 33), 'sentence'),
												        ((33, 34), '.'),
												        ((0, 0), tokenizer_r.sep_token),
												    ]
												    if not do_lower_case
												    else [
												        ((0, 0), tokenizer_r.cls_token),
												        ((0, 1), 'a'),
												        ((1, 2), ','),
												        ((3, 8), 'naive'),
												        ((9, 15), tokenizer_r.mask_token),
												        ((16, 21), 'allen'),
												        ((21, 23), '##nl'),
												        ((23, 24), '##p'),
												        ((25, 33), 'sentence'),
												        ((33, 34), '.'),
												        ((0, 0), tokenizer_r.sep_token),
												    ]
												)

												self.assertEqual(
												    [e[1] for e in expected_results]					,  tokenizer_r.convert_ids_to_tokens(tokens['input_ids']					)					)
												self.assertEqual([e[0] for e in expected_results]					,  tokens['offset_mapping']					)





			def 		__magic_name__    (		self					)   -> List[Any]:




						'''simple docstring'''
						__a        =['的', '人', '有']
						__a        =''.join(__snake_case					)
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
												__a        =True
												__a        =self.tokenizer_class.from_pretrained(__snake_case					,  **__snake_case					)
												__a        =self.rust_tokenizer_class.from_pretrained(__snake_case					,  **__snake_case					)

												__a        =tokenizer_p.encode(__snake_case					,  add_special_tokens=__snake_case					)
												__a        =tokenizer_r.encode(__snake_case					,  add_special_tokens=__snake_case					)

												__a        =tokenizer_r.convert_ids_to_tokens(__snake_case					)
												__a        =tokenizer_p.convert_ids_to_tokens(__snake_case					)

												# it is expected that each Chinese character is not preceded by "##"
												self.assertListEqual(__snake_case					,  __snake_case					)
												self.assertListEqual(__snake_case					,  __snake_case					)

												__a        =False
												__a        =self.rust_tokenizer_class.from_pretrained(__snake_case					,  **__snake_case					)
												__a        =self.tokenizer_class.from_pretrained(__snake_case					,  **__snake_case					)

												__a        =tokenizer_r.encode(__snake_case					,  add_special_tokens=__snake_case					)
												__a        =tokenizer_p.encode(__snake_case					,  add_special_tokens=__snake_case					)

												__a        =tokenizer_r.convert_ids_to_tokens(__snake_case					)
												__a        =tokenizer_p.convert_ids_to_tokens(__snake_case					)

												# it is expected that only the first Chinese character is not preceded by "##".
												__a        =[
												    f'##{token}' if idx != 0 else token for idx, token in enumerate(__snake_case					)
												]
												self.assertListEqual(__snake_case					,  __snake_case					)
												self.assertListEqual(__snake_case					,  __snake_case					)





			@slow
			def 		__magic_name__    (		self					)   -> Optional[int]:




						'''simple docstring'''
						__a        =self.tokenizer_class(self.vocab_file					,  self.word_shape_file					,  self.word_pronunciation_file					)

						__a        =tokenizer.encode('你好'					,  add_special_tokens=__snake_case					)
						__a        =tokenizer.encode('你是谁'					,  add_special_tokens=__snake_case					)

						__a        =tokenizer.build_inputs_with_special_tokens(__snake_case					)
						__a        =tokenizer.build_inputs_with_special_tokens(__snake_case					,  __snake_case					)

						assert encoded_sentence == [1] + text + [2]
						assert encoded_pair == [1] + text + [2] + text_a + [2]





			def 		__magic_name__    (		self					)   -> List[str]:




						'''simple docstring'''
						__a        =self.get_tokenizers(do_lower_case=__snake_case					)
						for tokenizer in tokenizers:
									with self.subTest(f'{tokenizer.__class__.__name__}'					):
												__a        ='你好，你是谁'
												__a        =tokenizer.tokenize(__snake_case					)
												__a        =tokenizer.convert_tokens_to_ids(__snake_case					)
												__a        =tokenizer.convert_tokens_to_shape_ids(__snake_case					)
												__a        =tokenizer.convert_tokens_to_pronunciation_ids(__snake_case					)
												__a        =tokenizer.prepare_for_model(
												    __snake_case					,  __snake_case					,  __snake_case					,  add_special_tokens=__snake_case					)

												__a        =tokenizer.encode_plus(__snake_case					,  add_special_tokens=__snake_case					)

												self.assertEqual(__snake_case					,  __snake_case					)






