






from math import pi


def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  int       ):
    return 2 * pi * radius * (angle / 3_6_0)


if __name__ == "__main__":
 print(arc_length(90, 10))











import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


_a    :   List[Any]        =			get_tests_dir("""fixtures/test_sentencepiece.model""")
_a    :   Dict        =			get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")

_a    :   Optional[Any]        =			"""pt""" if is_torch_available() else """tf"""







@require_sentencepiece
@require_tokenizers
class 	_UpperCAmelCase  (  _A				,							unittest.TestCase		):




      """simple docstring"""



      A          =    CamembertTokenizer
      A          =    CamembertTokenizerFast
      A          =    True
      A          =    True
      def 			snake_case_      (   self		):



          '''simple docstring'''
          super().setUp()

          # We have a SentencePiece fixture for testing
          lowerCAmelCase__   :List[str]      							=				CamembertTokenizer(_lowerCAmelCase		)
          tokenizer.save_pretrained(self.tmpdirname		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Union[str, Any]      							=				"<pad>"
          lowerCAmelCase__   :Union[str, 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 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Tuple      							=				list(self.get_tokenizer().get_vocab().keys()		)

          self.assertEqual(vocab_keys[0]    ,	"<s>NOTUSED"		)
          self.assertEqual(vocab_keys[1]    ,	"<pad>"		)
          self.assertEqual(vocab_keys[-1]    ,	"<mask>"		)
          self.assertEqual(len(_lowerCAmelCase		)    ,	1_004		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          self.assertEqual(self.get_tokenizer().vocab_size    ,	1_005		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :List[Any]      							=				CamembertTokenizer(_lowerCAmelCase		)
          tokenizer.save_pretrained(self.tmpdirname		)
          lowerCAmelCase__   :Tuple      							=				CamembertTokenizerFast.from_pretrained(self.tmpdirname		)

          lowerCAmelCase__   :List[str]      							=				"I was born in 92000, and this is falsé."

          lowerCAmelCase__   :Any      							=				tokenizer.encode(_lowerCAmelCase		)
          lowerCAmelCase__   :Any      							=				rust_tokenizer.encode(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          lowerCAmelCase__   :int      							=				tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
          lowerCAmelCase__   :List[Any]      							=				rust_tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          # <unk> tokens are not the same for `rust` than for `slow`.
          # Because spm gives back raw token instead of `unk` in EncodeAsPieces
          # tokens = tokenizer.tokenize(sequence)
          lowerCAmelCase__   :Union[str, Any]      							=				tokenizer.convert_ids_to_tokens(_lowerCAmelCase		)
          lowerCAmelCase__   :Optional[int]      							=				rust_tokenizer.tokenize(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          if not self.test_rust_tokenizer:
              return

          lowerCAmelCase__   :Optional[Any]      							=				self.get_tokenizer()
          lowerCAmelCase__   :int      							=				self.get_rust_tokenizer()

          lowerCAmelCase__   :List[str]      							=				"I was born in 92000, and this is falsé."

          lowerCAmelCase__   :int      							=				tokenizer.tokenize(_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				rust_tokenizer.tokenize(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          lowerCAmelCase__   :Union[str, Any]      							=				tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
          lowerCAmelCase__   :Any      							=				rust_tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          lowerCAmelCase__   :Dict      							=				self.get_rust_tokenizer()
          lowerCAmelCase__   :Tuple      							=				tokenizer.encode(_lowerCAmelCase		)
          lowerCAmelCase__   :Any      							=				rust_tokenizer.encode(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)



      @slow
      def 			snake_case_      (   self		):



          '''simple docstring'''
          # fmt: off
          lowerCAmelCase__   :str      							=				{"input_ids": [[5, 54, 7_196, 297, 30, 23, 776, 18, 11, 3_215, 3_705, 8_252, 22, 3_164, 1_181, 2_116, 29, 16, 813, 25, 791, 3_314, 20, 3_446, 38, 27_575, 120, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 468, 17, 11, 9_088, 20, 1_517, 8, 22_804, 18_818, 10, 38, 629, 607, 607, 142, 19, 7_196, 867, 56, 10_326, 24, 2_267, 20, 416, 5_072, 15_612, 233, 734, 7, 2_399, 27, 16, 3_015, 1_649, 7, 24, 20, 4_338, 2_399, 27, 13, 3_400, 14, 13, 6_189, 8, 930, 9, 6]], "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, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
          # fmt: on

          # camembert is a french model. So we also use french texts.
          lowerCAmelCase__   :Tuple      							=				[
              "Le transformeur est un modèle d'apprentissage profond introduit en 2017, "
              "utilisé principalement dans le domaine du traitement automatique des langues (TAL).",
              "À l'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus "
              "pour gérer des données séquentielles, telles que le langage naturel, pour des tâches "
              "telles que la traduction et la synthèse de texte.",
          ]

          self.tokenizer_integration_test_util(
              expected_encoding=_lowerCAmelCase    ,	model_name="camembert-base"    ,	revision="3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf"    ,	sequences=_lowerCAmelCase    ,	)



