





import os
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
from datasets import Dataset

from transformers.models.realm.configuration_realm import RealmConfig
from transformers.models.realm.retrieval_realm import _REALM_BLOCK_RECORDS_FILENAME, RealmRetriever
from transformers.models.realm.tokenization_realm import VOCAB_FILES_NAMES, RealmTokenizer




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):



 def 							UpperCamelCase     (				self					):
        A__		   =		tempfile.mkdtemp()
        A__		   =		5

        # Realm tok
        A__		   =		[
            '''[UNK]''',
            '''[CLS]''',
            '''[SEP]''',
            '''[PAD]''',
            '''[MASK]''',
            '''test''',
            '''question''',
            '''this''',
            '''is''',
            '''the''',
            '''first''',
            '''second''',
            '''third''',
            '''fourth''',
            '''fifth''',
            '''record''',
            '''want''',
            '''##want''',
            '''##ed''',
            '''wa''',
            '''un''',
            '''runn''',
            '''##ing''',
            ''',''',
            '''low''',
            '''lowest''',
        ]
        A__		   =		os.path.join(self.tmpdirname,'''realm_tokenizer'''					)
        os.makedirs(__lowerCamelCase,exist_ok=__lowerCamelCase					)
        A__		   =		os.path.join(__lowerCamelCase,VOCAB_FILES_NAMES['''vocab_file''']					)
        with open(self.vocab_file,'''w''',encoding='''utf-8'''					) as vocab_writer:
               vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]					)					)

        A__		   =		os.path.join(self.tmpdirname,'''realm_block_records'''					)
        os.makedirs(__lowerCamelCase,exist_ok=__lowerCamelCase					)



 def 							UpperCamelCase     (				self					):
        return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname,'''realm_tokenizer'''					)					)



 def 							UpperCamelCase     (				self					):
        shutil.rmtree(self.tmpdirname					)



 def 							UpperCamelCase     (				self					):
        A__		   =		RealmConfig(num_block_records=self.num_block_records					)
        return config



 def 							UpperCamelCase     (				self					):
        A__		   =		Dataset.from_dict(
            {
                '''id''': ['''0''', '''1'''],
                '''question''': ['''foo''', '''bar'''],
                '''answers''': [['''Foo''', '''Bar'''], ['''Bar''']],
            }					)
        return dataset



 def 							UpperCamelCase     (				self					):
        A__		   =		np.array(
            [
                B'''This is the first record''',
                B'''This is the second record''',
                B'''This is the third record''',
                B'''This is the fourth record''',
                B'''This is the fifth record''',
                B'''This is a longer longer longer record''',
            ],dtype=__lowerCamelCase,)
        return block_records



 def 							UpperCamelCase     (				self					):
        A__		   =		RealmRetriever(
            block_records=self.get_dummy_block_records(),tokenizer=self.get_tokenizer(),)
        return retriever



 def 							UpperCamelCase     (				self					):
        A__		   =		self.get_config()
        A__		   =		self.get_dummy_retriever()
        A__		   =		retriever.tokenizer

        A__		   =		np.array([0, 3],dtype='''long'''					)
        A__		   =		tokenizer(['''Test question''']					).input_ids
        A__		   =		tokenizer(
            ['''the fourth'''],add_special_tokens=__lowerCamelCase,return_token_type_ids=__lowerCamelCase,return_attention_mask=__lowerCamelCase,).input_ids
        A__		   =		config.reader_seq_len

        A__   ,      A__   ,      A__   ,      A__		   =		retriever(
            __lowerCamelCase,__lowerCamelCase,answer_ids=__lowerCamelCase,max_length=__lowerCamelCase,return_tensors='''np'''					)

        self.assertEqual(len(__lowerCamelCase					),2					)
        self.assertEqual(len(__lowerCamelCase					),2					)
        self.assertEqual(len(__lowerCamelCase					),2					)
        self.assertEqual(concat_inputs.input_ids.shape,(2, 10)					)
        self.assertEqual(concat_inputs.attention_mask.shape,(2, 10)					)
        self.assertEqual(concat_inputs.token_type_ids.shape,(2, 10)					)
        self.assertEqual(concat_inputs.special_tokens_mask.shape,(2, 10)					)
        self.assertEqual(
            tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[0]					),['''[CLS]''', '''test''', '''question''', '''[SEP]''', '''this''', '''is''', '''the''', '''first''', '''record''', '''[SEP]'''],)
        self.assertEqual(
            tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[1]					),['''[CLS]''', '''test''', '''question''', '''[SEP]''', '''this''', '''is''', '''the''', '''fourth''', '''record''', '''[SEP]'''],)



 def 							UpperCamelCase     (				self					):
        A__		   =		self.get_config()
        A__		   =		self.get_dummy_retriever()
        A__		   =		retriever.tokenizer

        A__		   =		np.array([0, 3, 5],dtype='''long'''					)
        A__		   =		tokenizer(['''Test question''']					).input_ids
        A__		   =		tokenizer(
            ['''the fourth''', '''longer longer'''],add_special_tokens=__lowerCamelCase,return_token_type_ids=__lowerCamelCase,return_attention_mask=__lowerCamelCase,).input_ids
        A__		   =		config.reader_seq_len

        A__   ,      A__   ,      A__   ,      A__		   =		retriever(
            __lowerCamelCase,__lowerCamelCase,answer_ids=__lowerCamelCase,max_length=__lowerCamelCase,return_tensors='''np'''					)

        self.assertEqual([False, True, True],__lowerCamelCase					)
        self.assertEqual([[-1, -1, -1], [6, -1, -1], [6, 7, 8]],__lowerCamelCase					)
        self.assertEqual([[-1, -1, -1], [7, -1, -1], [7, 8, 9]],__lowerCamelCase					)




 def 							UpperCamelCase     (				self					):
        A__		   =		self.get_dummy_retriever()
        retriever.save_pretrained(os.path.join(self.tmpdirname,'''realm_block_records'''					)					)

        # Test local path
        A__		   =		retriever.from_pretrained(os.path.join(self.tmpdirname,'''realm_block_records'''					)					)
        self.assertEqual(retriever.block_records[0],B'''This is the first record'''					)

        # Test mocked remote path
        with patch('''transformers.models.realm.retrieval_realm.hf_hub_download'''					) as mock_hf_hub_download:
               A__		   =		os.path.join(
                   os.path.join(self.tmpdirname,'''realm_block_records'''					),_REALM_BLOCK_RECORDS_FILENAME					)
               A__		   =		RealmRetriever.from_pretrained('''google/realm-cc-news-pretrained-openqa'''					)

        self.assertEqual(retriever.block_records[0],B'''This is the first record'''					)












import itertools
import math


def       UpperCamelCase__(			UpperCamelCase__     :			int    )->bool:

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


def       UpperCamelCase__(			)->Tuple:
       A__		   =		2
       while True:
              if is_prime(UpperCamelCase__    ):
                     yield num
              num += 1


def       UpperCamelCase__(			UpperCamelCase__     :			int = 1_00_01    )->int:
       return next(itertools.islice(prime_generator()					,	nth - 1					,	UpperCamelCase__    )    )


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





