



'''simple docstring'''






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase__:   int								=			get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
class 				SCREAMING_SNAKE_CASE(							A__							,		unittest.TestCase			):







	"""simple docstring"""






	lowerCamelCase__			 =       XLMProphetNetTokenizer
	lowerCamelCase__			 =       False
	lowerCamelCase__			 =       True







	def      A	(						self			:     Dict		)			->		Any:
								super().setUp()

								# We have a SentencePiece fixture for testing
								UpperCAmelCase :       Dict 							=		XLMProphetNetTokenizer(__snake_case		,			keep_accents=__snake_case		)
								tokenizer.save_pretrained(self.tmpdirname		)







	def      A	(						self			:     Any		)			->		Tuple:
								UpperCAmelCase :       Any 							=		'''[PAD]'''
								UpperCAmelCase :       Optional[Any] 							=		0

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







	def      A	(						self			:     Optional[Any]		)			->		Any:
								UpperCAmelCase :       Union[str, Any] 							=		list(self.get_tokenizer().get_vocab().keys()		)

								self.assertEqual(vocab_keys[0]		,			'''[PAD]'''		)
								self.assertEqual(vocab_keys[1]		,			'''[CLS]'''		)
								self.assertEqual(vocab_keys[-1]		,			'''j'''		)
								self.assertEqual(len(__snake_case		)		,			1012		)







	def      A	(						self			:     int		)			->		Any:
								self.assertEqual(self.get_tokenizer().vocab_size		,			1012		)







	def      A	(						self			:     Tuple		)			->		int:
								UpperCAmelCase :       Optional[Any] 							=		XLMProphetNetTokenizer(__snake_case		,			keep_accents=__snake_case		)

								UpperCAmelCase :       List[Any] 							=		tokenizer.tokenize('''This is a test'''		)
								self.assertListEqual(__snake_case		,			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']		)

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__snake_case		)		,			[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,			)

								UpperCAmelCase :       Optional[int] 							=		tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
								self.assertListEqual(
								    __snake_case		,			[
								        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''',
								        '''.''',
								    ]		,			)
								UpperCAmelCase :       Union[str, Any] 							=		tokenizer.convert_tokens_to_ids(__snake_case		)
								self.assertListEqual(
								    __snake_case		,			[
								        value + tokenizer.fairseq_offset
								        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
								    ]		,			)

								UpperCAmelCase :       Tuple 							=		tokenizer.convert_ids_to_tokens(__snake_case		)
								self.assertListEqual(
								    __snake_case		,			[
								        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			:     str		)			->		List[Any]:
								return XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased'''		)







	@slow
	def      A	(						self			:     Optional[Any]		)			->		Union[str, Any]:
								UpperCAmelCase :       int 							=		'''Hello World!'''
								UpperCAmelCase :       str 							=		[35389, 6672, 49, 2]
								self.assertListEqual(__snake_case		,			self.big_tokenizer.encode(__snake_case		)		)







	@slow
	def      A	(						self			:     Dict		)			->		Union[str, Any]:
								# fmt: off
								UpperCAmelCase :       int 							=		{'''input_ids''': [[11073, 82783, 18, 26, 82783, 549, 51540, 248, 17209, 1301, 217, 20, 215186, 1325, 147, 17209, 1301, 217, 20, 56370, 53, 122020, 20, 16477, 27, 87355, 4548, 20, 4728, 78392, 17, 159969, 18, 26, 24491, 629, 15, 538, 22704, 5439, 15, 2788, 24491, 9885, 15, 43534, 605, 15, 814, 18403, 33200, 29, 15, 43534, 24458, 12410, 111, 24966, 83669, 9637, 144068, 26, 850, 22346, 27, 147, 24966, 83669, 83490, 26, 39113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 122020, 115785, 34, 816, 1339, 46887, 18, 147, 53905, 1951, 42238, 41170, 17732, 834, 436, 15, 27523, 98733, 217, 147, 5542, 4981, 930, 17347, 16, 2], [20091, 629, 94, 82786, 58, 490, 20, 1528, 84, 53905, 344, 80592, 110128, 18822, 5267, 1306, 62, 152537, 308, 7997, 401, 124427, 549, 35442, 225, 109, 15055, 25748, 147, 7119, 43712, 34, 767, 135366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63784, 119466, 17, 147808, 88214, 18, 656, 81, 32, 3296, 10280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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], [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, 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=__snake_case		,			model_name='''microsoft/xprophetnet-large-wiki100-cased'''		,			revision='''1acad1643ddd54a44df6a1b797ada8373685d90e'''		,			)








from decimal import Decimal, getcontext
from math import ceil, factorial


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):

						if not isinstance(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
												raise TypeError('''Undefined for non-integers'''       )
						elif precision < 1:
												raise ValueError('''Undefined for non-natural numbers'''       )

						snake_case_   =	precision
						snake_case_   =	ceil(precision / 14       )
						snake_case_   =	426880 * Decimal(10005       ).sqrt()
						snake_case_   =	1
						snake_case_   =	13591409
						snake_case_   =	Decimal(SCREAMING_SNAKE_CASE__       )
						for k in range(1  ,		SCREAMING_SNAKE_CASE__       ):
												snake_case_   =	factorial(6 * k       ) // (factorial(3 * k       ) * factorial(SCREAMING_SNAKE_CASE__       ) ** 3)
												linear_term += 545140134
												exponential_term *= -262537412640768000
												partial_sum += Decimal(multinomial_term * linear_term       ) / exponential_term
						return str(constant_term / partial_sum       )[:-1]


if __name__ == "__main__":
					lowerCAmelCase_       	=	50
					print(f"""The first {n} digits of pi is: {pi(n)}""")