


"""simple docstring"""



import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__snake_case       =       """▁"""

__snake_case       =       get_tests_dir("""fixtures/test_sentencepiece.model""")







@require_sentencepiece
class _lowerCAmelCase							( snake_case_       ,				unittest.TestCase      ):
   __UpperCAmelCase					:			Optional[Any]				    =    BertGenerationTokenizer
   __UpperCAmelCase					:			List[str]				    =    False
   __UpperCAmelCase					:			Tuple				    =    True







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

       '''simple docstring'''




       super().setUp()

       snake_case       : Dict    =       BertGenerationTokenizer(UpperCamelCase__		,      keep_accents=UpperCamelCase__		)
       tokenizer.save_pretrained(self.tmpdirname		)







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

       '''simple docstring'''




       snake_case       : Any    =       "<s>"
       snake_case       : Dict    =       1

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







   def 					lowerCamelCase						(      self		)      ->						int:

       '''simple docstring'''




       snake_case       : Tuple    =       list(self.get_tokenizer().get_vocab().keys()		)

       self.assertEqual(vocab_keys[0]		,      "<unk>"		)
       self.assertEqual(vocab_keys[1]		,      "<s>"		)
       self.assertEqual(vocab_keys[-1]		,      "<pad>"		)
       self.assertEqual(len(UpperCamelCase__		)		,      1002		)







   def 					lowerCamelCase						(      self		)      ->						Dict:

       '''simple docstring'''




       self.assertEqual(self.get_tokenizer().vocab_size		,      1000		)







   def 					lowerCamelCase						(      self		)      ->						Tuple:

       '''simple docstring'''




       snake_case       : List[str]    =       BertGenerationTokenizer(UpperCamelCase__		,      keep_accents=UpperCamelCase__		)

       snake_case       : Optional[Any]    =       tokenizer.tokenize("This is a test"		)
       self.assertListEqual(UpperCamelCase__		,      ["▁This", "▁is", "▁a", "▁t", "est"]		)

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(UpperCamelCase__		)		,      [285, 46, 10, 170, 382]		,      )

       snake_case       : Tuple    =       tokenizer.tokenize("I was born in 92000, and this is falsé."		)
       self.assertListEqual(
           UpperCamelCase__		,      [
               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       : Dict    =       tokenizer.convert_tokens_to_ids(UpperCamelCase__		)
       self.assertListEqual(
           UpperCamelCase__		,      [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,      )

       snake_case       : Dict    =       tokenizer.convert_ids_to_tokens(UpperCamelCase__		)
       self.assertListEqual(
           UpperCamelCase__		,      [
               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 					lowerCamelCase						(      self		)      ->						List[Any]:

       '''simple docstring'''




       return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"		)







   @slow
   def 					lowerCamelCase						(      self		)      ->						Dict:

       '''simple docstring'''




       snake_case       : Any    =       "Hello World!"
       snake_case       : Any    =       [1_8536, 2260, 101]

       self.assertListEqual(UpperCamelCase__		,      self.big_tokenizer.encode(UpperCamelCase__		)		)







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

       '''simple docstring'''




       snake_case       : Any    =       (
           "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
           " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
       )
       snake_case       : List[str]    =       [
           871,
           419,
           358,
           946,
           991,
           2521,
           452,
           358,
           1357,
           387,
           7751,
           3536,
           112,
           985,
           456,
           126,
           865,
           938,
           5400,
           5734,
           458,
           1368,
           467,
           786,
           2462,
           5246,
           1159,
           633,
           865,
           4519,
           457,
           582,
           852,
           2557,
           427,
           916,
           508,
           405,
           3_4324,
           497,
           391,
           408,
           1_1342,
           1244,
           385,
           100,
           938,
           985,
           456,
           574,
           362,
           1_2597,
           3200,
           3129,
           1172,
       ]

       self.assertListEqual(UpperCamelCase__		,      self.big_tokenizer.encode(UpperCamelCase__		)		)







   @require_torch
   @slow
   def 					lowerCamelCase						(      self		)      ->						List[str]:

       '''simple docstring'''




       import torch

       from transformers import BertGenerationConfig, BertGenerationEncoder

       # Build sequence
       snake_case       : Union[str, Any]    =       list(self.big_tokenizer.get_vocab().keys()		)[:10]
       snake_case       : Tuple    =       " ".join(UpperCamelCase__		)
       snake_case       : Optional[int]    =       self.big_tokenizer.encode_plus(UpperCamelCase__		,      return_tensors="pt"		,      return_token_type_ids=UpperCamelCase__		)
       snake_case       : Dict    =       self.big_tokenizer.batch_encode_plus(
           [sequence + " " + sequence]		,      return_tensors="pt"		,      return_token_type_ids=UpperCamelCase__		)

       snake_case       : List[Any]    =       BertGenerationConfig()
       snake_case       : Dict    =       BertGenerationEncoder(UpperCamelCase__		)

       assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

       with torch.no_grad():
           model(**UpperCamelCase__		)
           model(**UpperCamelCase__		)







   @slow
   def 					lowerCamelCase						(      self		)      ->						Dict:

       '''simple docstring'''




       snake_case       : Optional[Any]    =       {"input_ids": [[3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114], [448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=UpperCamelCase__		,      model_name="google/bert_for_seq_generation_L-24_bbc_encoder"		,      revision="c817d1fd1be2ffa69431227a1fe320544943d4db"		,      )









"""simple docstring"""



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







def     __lowerCAmelCase		(		lowercase    :    int					)      ->		bool:


    """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(lowercase					) + 1					)		,				6					):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True







def     __lowerCAmelCase		(		)      ->		Iterator[int]:


    """simple docstring"""





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







def     __lowerCAmelCase		(		lowercase    :    int = 200_0000					)      ->		int:


    """simple docstring"""





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


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





