"""simple docstring"""


import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCamelCase									=			get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class  UpperCamelCase					(				lowerCAmelCase__    ,		unittest.TestCase   ):
       SCREAMING_SNAKE_CASE_			=      BartphoTokenizer
       SCREAMING_SNAKE_CASE_			=      False
       SCREAMING_SNAKE_CASE_			=      True







       def 		a_						( self)      ->      int:
            super().setUp()

            snake_case_					       =					['▁This', '▁is', '▁a', '▁t', 'est']
            snake_case_					       =					dict(zip(lowerCAmelCase__,							range(len(lowerCAmelCase__))))
            snake_case_					       =					{'unk_token': '<unk>'}

            snake_case_					       =					os.path.join(self.tmpdirname,							VOCAB_FILES_NAMES['monolingual_vocab_file'])
            with open(self.monolingual_vocab_file,							'w',							encoding='utf-8') as fp:
                 for token in vocab_tokens:
                      fp.write(f'{token} {vocab_tokens[token]}\n')

            snake_case_					       =					BartphoTokenizer(lowerCAmelCase__,							self.monolingual_vocab_file,							**self.special_tokens_map)
            tokenizer.save_pretrained(self.tmpdirname)







       def 		a_						( self,							**lowerCAmelCase__)      ->      Union[str, Any]:
            kwargs.update(self.special_tokens_map)
            return BartphoTokenizer.from_pretrained(self.tmpdirname,							**lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__)      ->      Union[str, Any]:
            snake_case_					       =					'This is a là test'
            snake_case_					       =					'This is a<unk><unk> test'
            return input_text, output_text







       def 		a_						( self)      ->      Tuple:
            snake_case_					       =					BartphoTokenizer(lowerCAmelCase__,							self.monolingual_vocab_file,							**self.special_tokens_map)
            snake_case_					       =					'This is a là test'
            snake_case_					       =					'▁This ▁is ▁a ▁l à ▁t est'.split()
            snake_case_					       =					tokenizer.tokenize(lowerCAmelCase__)
            self.assertListEqual(lowerCAmelCase__,							lowerCAmelCase__)

            snake_case_					       =					tokens + [tokenizer.unk_token]
            snake_case_					       =					[4, 5, 6, 3, 3, 7, 8, 3]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__),							lowerCAmelCase__)


"""simple docstring"""






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


def 			UpperCAmelCase__       (				lowerCAmelCase__     :int		) ->    str:
      '''simple docstring'''


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

      lowercase														=	precision
      lowercase														=	ceil(precision / 1_4		)
      lowercase														=	4_2_6_8_8_0 * Decimal(1_0_0_0_5		).sqrt()
      lowercase														=	1
      lowercase														=	1_3_5_9_1_4_0_9
      lowercase														=	Decimal(lowerCAmelCase__		)
      for k in range(1					,		lowerCAmelCase__		):
            lowercase														=	factorial(6 * k		) // (factorial(3 * k		) * factorial(lowerCAmelCase__		) ** 3)
            linear_term += 5_4_5_1_4_0_1_3_4
            exponential_term *= -2_6_2_5_3_7_4_1_2_6_4_0_7_6_8_0_0_0
            partial_sum += Decimal(multinomial_term * linear_term		) / exponential_term
      return str(constant_term / partial_sum		)[:-1]


if __name__ == "__main__":
       __lowerCAmelCase    :       List[Any]					     =5_0
       print(F"""The first {n} digits of pi is: {pi(n)}""")



