
'''simple docstring'''




import math
from collections.abc import Iterator
from itertools import takewhile







def 		lowerCAmelCase_				(   snake_case__						):




    '''simple docstring'''



    if 1 < number < 4:
        # 2 and 3 are primes
        return True
    elif number < 2 or number % 2 == 0 or number % 3 == 0:
        # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
        return False

    # All primes number are in format of 6k +/- 1
    for i in range(5		,				int(math.sqrt(SCREAMING_SNAKE_CASE_						) + 1						)		,				6						):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True







def 		lowerCAmelCase_				(   ):




    '''simple docstring'''



    A       :   Optional[int]					=						2
    while True:
        if is_prime(SCREAMING_SNAKE_CASE_						):
            yield num
        num += 1







def 		lowerCAmelCase_				(   snake_case__ = 200_0000						):




    '''simple docstring'''



    return sum(takewhile(lambda snake_case__						: x < n		,				prime_generator()						)						)


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






import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase__          =		get_tests_dir("""fixtures/spiece.model""")







@require_sentencepiece
@require_tokenizers
class      A__							(     __magic_name__						,   unittest.TestCase	):
				lowercase			    =  AlbertTokenizer
				lowercase			    =  AlbertTokenizerFast
				lowercase			    =  True
				lowercase			    =  True
				lowercase			    =  True






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							super().setUp()

							# We have a SentencePiece fixture for testing
							lowerCAmelCase__      :      int         =		AlbertTokenizer(a   )
							tokenizer.save_pretrained(self.tmpdirname   )






				def 							_lowerCamelCase		(						self					:      List[str]    ,     a					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		'this is a test'
							lowerCAmelCase__      :      List[Any]         =		'this is a test'
							return input_text, output_text






				def 							_lowerCamelCase		(						self					:      Tuple   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Tuple         =		'<pad>'
							lowerCAmelCase__      :      Optional[Any]         =		0

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






				def 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		list(self.get_tokenizer().get_vocab().keys()   )

							self.assertEqual(vocab_keys[0]    ,     '<pad>'   )
							self.assertEqual(vocab_keys[1]    ,     '<unk>'   )
							self.assertEqual(vocab_keys[-1]    ,     '▁eloquent'   )
							self.assertEqual(len(a   )    ,     30_000   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							self.assertEqual(self.get_tokenizer().vocab_size    ,     30_000   )






				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							if not self.test_rust_tokenizer:
										return

							lowerCAmelCase__      :      str         =		self.get_tokenizer()
							lowerCAmelCase__      :      str         =		self.get_rust_tokenizer()

							lowerCAmelCase__      :      List[Any]         =		'I was born in 92000, and this is falsé.'

							lowerCAmelCase__      :      str         =		tokenizer.tokenize(a   )
							lowerCAmelCase__      :      Optional[int]         =		rust_tokenizer.tokenize(a   )
							self.assertListEqual(a    ,     a   )

							lowerCAmelCase__      :      Tuple         =		tokenizer.encode(a    ,     add_special_tokens=a   )
							lowerCAmelCase__      :      Union[str, Any]         =		rust_tokenizer.encode(a    ,     add_special_tokens=a   )
							self.assertListEqual(a    ,     a   )

							lowerCAmelCase__      :      Optional[Any]         =		self.get_rust_tokenizer()
							lowerCAmelCase__      :      Dict         =		tokenizer.encode(a   )
							lowerCAmelCase__      :      List[Any]         =		rust_tokenizer.encode(a   )
							self.assertListEqual(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Tuple         =		AlbertTokenizer(a    ,     keep_accents=a   )

							lowerCAmelCase__      :      Union[str, Any]         =		tokenizer.tokenize('This is a test'   )
							self.assertListEqual(a    ,     ['▁this', '▁is', '▁a', '▁test']   )

							self.assertListEqual(tokenizer.convert_tokens_to_ids(a   )    ,     [48, 25, 21, 1_289]   )

							lowerCAmelCase__      :      Tuple         =		tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
							self.assertListEqual(
							    a    ,     ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.']   )
							lowerCAmelCase__      :      Any         =		tokenizer.convert_tokens_to_ids(a   )
							self.assertListEqual(a    ,     [31, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]   )

							lowerCAmelCase__      :      Any         =		tokenizer.convert_ids_to_tokens(a   )
							self.assertListEqual(
							    a    ,     ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.']    ,     )






				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[str]         =		AlbertTokenizer(a   )

							lowerCAmelCase__      :      Tuple         =		tokenizer.encode('sequence builders'   )
							lowerCAmelCase__      :      Any         =		tokenizer.encode('multi-sequence build'   )

							lowerCAmelCase__      :      Dict         =		tokenizer.build_inputs_with_special_tokens(a   )
							lowerCAmelCase__      :      Tuple         =		tokenizer.build_inputs_with_special_tokens(a    ,     a   )

							assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
							assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
							    tokenizer.sep_token_id
							]






				@slow
				def 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Dict         =		{'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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'input_ids': [[2, 21_970, 13, 5, 6_092, 167, 28, 7_103, 2_153, 673, 8, 7_028, 12_051, 18, 17, 7_103, 2_153, 673, 8, 3_515, 18_684, 8, 4_461, 6, 1_927, 297, 8, 12_060, 2_607, 18, 13, 5, 4_461, 15, 10_538, 38, 8, 135, 15, 822, 58, 15, 993, 10_363, 15, 1_460, 8_005, 4_461, 15, 993, 255, 2_328, 9, 9, 9, 6, 26, 1_112, 816, 3_260, 13, 5, 103, 2_377, 6, 17, 1_112, 816, 2_782, 13, 5, 103, 10_641, 6, 29, 84, 2_512, 2_430, 782, 18_684, 2_761, 19, 808, 2_430, 2_556, 17, 855, 1_480, 9_477, 4_091, 128, 11_712, 15, 7_103, 2_153, 673, 17, 24_883, 9_990, 9, 3], [2, 11_502, 25, 1_006, 20, 782, 8, 11_809, 855, 1_732, 19_393, 18_667, 37, 367, 21_018, 69, 1_854, 34, 11_860, 19_124, 27, 156, 225, 17, 193, 4_141, 19, 65, 9_124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2_231, 886, 2_385, 17_659, 84, 14, 16_792, 1_952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=a    ,     model_name='albert-base-v2'    ,     revision='6b6560eaf5ff2e250b00c50f380c5389a9c2d82e'    ,     )