




"""simple docstring"""

import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCamelCase  :			Dict        =       '▁'

_lowerCamelCase  :			Dict        =       get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class        lowercase      (    __UpperCAmelCase     ,	unittest.TestCase):
				__lowerCAmelCase    :    Any         =   BigBirdTokenizer
				__lowerCAmelCase    :    Dict         =   BigBirdTokenizerFast
				__lowerCAmelCase    :    Tuple         =   True
				__lowerCAmelCase    :    List[str]         =   True







				def 					a_  (							self   :					str       ):



					"""simple docstring"""

					super().setUp()

					A_  :				Optional[Any]	   =		self.tokenizer_class(_lowerCamelCase      ,     keep_accents=_lowerCamelCase       )
					tokenizer.save_pretrained(self.tmpdirname       )







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



					"""simple docstring"""

					A_  :				Union[str, Any]	   =		'''<s>'''
					A_  :				List[Any]	   =		1

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







				def 					a_  (							self   :					Tuple       ):



					"""simple docstring"""

					A_  :				Optional[int]	   =		list(self.get_tokenizer().get_vocab().keys()       )

					self.assertEqual(vocab_keys[0]      ,     '''<unk>'''       )
					self.assertEqual(vocab_keys[1]      ,     '''<s>'''       )
					self.assertEqual(vocab_keys[-1]      ,     '''[MASK]'''       )
					self.assertEqual(len(_lowerCamelCase       )      ,     10_04       )







				def 					a_  (							self   :					Tuple       ):



					"""simple docstring"""

					self.assertEqual(self.get_tokenizer().vocab_size      ,     10_00       )







				def 					a_  (							self   :					Optional[Any]       ):



					"""simple docstring"""

					if not self.test_rust_tokenizer:
						return

					A_  :				List[str]	   =		self.get_tokenizer()
					A_  :				Dict	   =		self.get_rust_tokenizer()

					A_  :				str	   =		'''I was born in 92000, and this is falsé.'''

					A_  :				Optional[int]	   =		tokenizer.tokenize(_lowerCamelCase       )
					A_  :				int	   =		rust_tokenizer.tokenize(_lowerCamelCase       )
					self.assertListEqual(_lowerCamelCase      ,     _lowerCamelCase       )

					A_  :				List[str]	   =		tokenizer.encode(_lowerCamelCase      ,     add_special_tokens=_lowerCamelCase       )
					A_  :				List[str]	   =		rust_tokenizer.encode(_lowerCamelCase      ,     add_special_tokens=_lowerCamelCase       )
					self.assertListEqual(_lowerCamelCase      ,     _lowerCamelCase       )

					A_  :				Union[str, Any]	   =		self.get_rust_tokenizer()
					A_  :				List[str]	   =		tokenizer.encode(_lowerCamelCase       )
					A_  :				Optional[int]	   =		rust_tokenizer.encode(_lowerCamelCase       )
					self.assertListEqual(_lowerCamelCase      ,     _lowerCamelCase       )







				def 					a_  (							self   :					List[str]       ):



					"""simple docstring"""

					A_  :				Optional[Any]	   =		BigBirdTokenizer(_lowerCamelCase      ,     keep_accents=_lowerCamelCase       )

					A_  :				Tuple	   =		tokenizer.tokenize('''This is a test'''       )
					self.assertListEqual(_lowerCamelCase      ,     ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']       )

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(_lowerCamelCase       )      ,     [2_85, 46, 10, 1_70, 3_82]      ,     )

					A_  :				Dict	   =		tokenizer.tokenize('''I was born in 92000, and this is falsé.'''       )
					self.assertListEqual(
					    _lowerCamelCase      ,     [
					        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''',
					        '''.''',
					    ]      ,     )
					A_  :				Any	   =		tokenizer.convert_tokens_to_ids(_lowerCamelCase       )
					self.assertListEqual(
					    _lowerCamelCase      ,     [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,     )

					A_  :				Optional[int]	   =		tokenizer.convert_ids_to_tokens(_lowerCamelCase       )
					self.assertListEqual(
					    _lowerCamelCase      ,     [
					        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 					a_  (							self   :					Tuple       ):



					"""simple docstring"""

					return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''       )







				@slow
				def 					a_  (							self   :					List[Any]       ):



					"""simple docstring"""

					A_  :				Tuple	   =		'''Hello World!'''
					A_  :				str	   =		[65, 1_85_36, 22_60, 1_01, 66]

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







				@slow
				def 					a_  (							self   :					str       ):



					"""simple docstring"""

					A_  :				List[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'''
					)
					# fmt: off
					A_  :				List[str]	   =		[65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
					# fmt: on
					self.assertListEqual(_lowerCamelCase      ,     self.big_tokenizer.encode(_lowerCamelCase       )       )







				@require_torch
				@slow
				def 					a_  (							self   :					Optional[int]       ):



					"""simple docstring"""

					import torch

					from transformers import BigBirdConfig, BigBirdModel

					# Build sequence
					A_  :				Union[str, Any]	   =		list(self.big_tokenizer.get_vocab().keys()       )[:10]
					A_  :				Any	   =		''' '''.join(_lowerCamelCase       )
					A_  :				List[str]	   =		self.big_tokenizer.encode_plus(_lowerCamelCase      ,     return_tensors='''pt'''      ,     return_token_type_ids=_lowerCamelCase       )
					A_  :				int	   =		self.big_tokenizer.batch_encode_plus(
					    [sequence + ''' ''' + sequence]      ,     return_tensors='''pt'''      ,     return_token_type_ids=_lowerCamelCase       )

					A_  :				Optional[Any]	   =		BigBirdConfig(attention_type='''original_full'''       )
					A_  :				Optional[Any]	   =		BigBirdModel(_lowerCamelCase       )

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

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







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



					"""simple docstring"""

					A_  :				Union[str, Any]	   =		BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''       )
					A_  :				List[Any]	   =		tokenizer.decode(tokenizer('''Paris is the [MASK].'''       ).input_ids       )

					self.assertTrue(decoded_text == '''[CLS] Paris is the[MASK].[SEP]'''       )







				@slow
				def 					a_  (							self   :					Dict       ):



					"""simple docstring"""

					A_  :				List[str]	   =		{'''input_ids''': [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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]]}  # noqa: E501
					# fmt: on

					self.tokenizer_integration_test_util(
					    expected_encoding=_lowerCamelCase      ,     model_name='''google/bigbird-roberta-base'''      ,     revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''      ,     )











"""simple docstring"""

import random

from .binary_exp_mod import bin_exp_mod

def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase=1000	):




	"""simple docstring"""






	if n < 2:
		return False

	if n % 2 == 0:
		return n == 2

	# this means n is odd
	A_  :				List[Any]	   =		n - 1
	A_  :				Dict	   =		0
	while d % 2 == 0:
		d /= 2
		exp += 1

	# n - 1=d*(2**exp)
	A_  :				Optional[Any]	   =		0
	while count < prec:
		A_  :				Optional[int]	   =		random.randint(2  ,      n - 1	)
		A_  :				Any	   =		bin_exp_mod(_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	)
		if b != 1:
			A_  :				Dict	   =		True
			for _ in range(_UpperCAmelCase	):
				if b == n - 1:
					A_  :				Optional[int]	   =		False
					break
				A_  :				Any	   =		b * b
				b %= n
			if flag:
				return False
			count += 1
	return True


if __name__ == "__main__":
		_lowerCamelCase  :			List[str]        =       abs(int(input('Enter bound : ').strip()))
		print('Here\'s the list of primes:')
		print(', '.join(str(i) for i in range(n + 1) if is_prime_big(i)))





