





'''simple docstring'''






import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
     from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_     =	get_tests_dir("""fixtures/test_sentencepiece.model""")

snake_case_     =	{"""target_lang""": """fi""", """source_lang""": """en"""}
snake_case_     =	""">>zh<<"""
snake_case_     =	"""Helsinki-NLP/"""

if is_torch_available():
     snake_case_     =	"""pt"""
elif is_tf_available():
     snake_case_     =	"""tf"""
else:
     snake_case_     =	"""jax"""


@require_sentencepiece
class   _lowercase						(							a		,					unittest.TestCase				):
   _UpperCamelCase       		=   MarianTokenizer
   _UpperCamelCase       		=   False
   _UpperCamelCase       		=   True


   def 					snake_case				( self					):
       super().setUp()
       A       :       Tuple							=						['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
       A       :       List[Any]							=						dict(zip(_UpperCAmelCase    ,   range(len(_UpperCAmelCase					)					)					)					)
       A       :       List[Any]							=						Path(self.tmpdirname					)
       save_json(_UpperCAmelCase    ,   save_dir / VOCAB_FILES_NAMES['''vocab''']					)
       save_json(_UpperCAmelCase    ,   save_dir / VOCAB_FILES_NAMES['''tokenizer_config_file''']					)
       if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
           copyfile(_UpperCAmelCase    ,   save_dir / VOCAB_FILES_NAMES['''source_spm''']					)
           copyfile(_UpperCAmelCase    ,   save_dir / VOCAB_FILES_NAMES['''target_spm''']					)

       A       :       Optional[int]							=						MarianTokenizer.from_pretrained(self.tmpdirname					)
       tokenizer.save_pretrained(self.tmpdirname					)


   def 					snake_case				( self    ,   **_UpperCAmelCase					):
       return MarianTokenizer.from_pretrained(self.tmpdirname    ,   **_UpperCAmelCase					)


   def 					snake_case				( self    ,   _UpperCAmelCase					):
       return (
           "This is a test",
           "This is a test",
       )


   def 					snake_case				( self					):
       A       :       Any							=						'''</s>'''
       A       :       str							=						0

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


   def 					snake_case				( self					):
       A       :       Any							=						list(self.get_tokenizer().get_vocab().keys()					)

       self.assertEqual(vocab_keys[0]    ,   '''</s>'''					)
       self.assertEqual(vocab_keys[1]    ,   '''<unk>'''					)
       self.assertEqual(vocab_keys[-1]    ,   '''<pad>'''					)
       self.assertEqual(len(_UpperCAmelCase					)    ,   9					)


   def 					snake_case				( self					):
       self.assertEqual(self.get_tokenizer().vocab_size    ,   9					)


   def 					snake_case				( self					):
       A       :       Optional[int]							=						MarianTokenizer.from_pretrained(f'''{ORG_NAME}opus-mt-en-de'''					)
       A       :       List[str]							=						en_de_tokenizer(['''I am a small frog''']    ,   return_tensors=_UpperCAmelCase					)
       self.assertIsInstance(_UpperCAmelCase    ,   _UpperCAmelCase					)
       A       :       Any							=						[38, 121, 14, 697, 38_848, 0]
       self.assertListEqual(_UpperCAmelCase    ,   batch.input_ids[0]					)

       A       :       Union[str, Any]							=						tempfile.mkdtemp()
       en_de_tokenizer.save_pretrained(_UpperCAmelCase					)
       A       :       List[Any]							=						[x.name for x in Path(_UpperCAmelCase					).glob('''*'''					)]
       self.assertIn('''source.spm'''    ,   _UpperCAmelCase					)
       MarianTokenizer.from_pretrained(_UpperCAmelCase					)


   def 					snake_case				( self					):
       A       :       List[Any]							=						self.get_tokenizer()

       A       :       Optional[int]							=						tok(
           ['''I am a small frog''' * 1_000, '''I am a small frog''']    ,   padding=_UpperCAmelCase    ,   truncation=_UpperCAmelCase    ,   return_tensors=_UpperCAmelCase					)
       self.assertIsInstance(_UpperCAmelCase    ,   _UpperCAmelCase					)
       self.assertEqual(batch.input_ids.shape    ,   (2, 512)					)


   def 					snake_case				( self					):
       A       :       Optional[int]							=						self.get_tokenizer()
       A       :       Union[str, Any]							=						tok(['''I am a tiny frog''', '''I am a small frog''']    ,   padding=_UpperCAmelCase    ,   return_tensors=_UpperCAmelCase					)
       self.assertIsInstance(_UpperCAmelCase    ,   _UpperCAmelCase					)
       self.assertEqual(batch_smaller.input_ids.shape    ,   (2, 10)					)


   @slow
   def 					snake_case				( self					):
       # fmt: off
       A       :       Any							=						{'''input_ids''': [[43_495, 462, 20, 42_164, 1_369, 52, 464, 132, 1_703, 492, 13, 7_491, 38_999, 6, 8, 464, 132, 1_703, 492, 13, 4_669, 37_867, 13, 7_525, 27, 1_593, 988, 13, 33_972, 7_029, 6, 20, 8_251, 383, 2, 270, 5_866, 3_788, 2, 2_353, 8_251, 12_338, 2, 13_958, 387, 2, 3_629, 6_953, 188, 2_900, 2, 13_958, 8_011, 11_501, 23, 8_460, 4_073, 34_009, 20, 435, 11_439, 27, 8, 8_460, 4_073, 6_004, 20, 9_988, 375, 27, 33, 266, 1_945, 1_076, 1_350, 37_867, 3_288, 5, 577, 1_076, 4_374, 8, 5_082, 5, 26_453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10_767, 6, 316, 304, 4_239, 3, 0], [148, 15_722, 19, 1_839, 12, 1_350, 13, 22_327, 5_082, 5_418, 47_567, 35_938, 59, 318, 19_552, 108, 2_183, 54, 14_976, 4_835, 32, 547, 1_114, 8, 315, 2_417, 5, 92, 19_088, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100], [36, 6_395, 12_570, 39_147, 11_597, 6, 266, 4, 45_405, 7_296, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100]], '''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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=_UpperCAmelCase    ,   model_name='''Helsinki-NLP/opus-mt-en-de'''    ,   revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''    ,   decode_kwargs={'''use_source_tokenizer''': True}    ,   )


   def 					snake_case				( self					):
       A       :       Optional[int]							=						MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''					)

       A       :       Optional[Any]							=						'''Tämä on testi'''
       A       :       Optional[Any]							=						'''This is a test'''

       A       :       Optional[int]							=						[76, 7, 2_047, 2]
       A       :       List[str]							=						[69, 12, 11, 940, 2]

       A       :       Tuple							=						tokenizer(_UpperCAmelCase					).input_ids
       self.assertListEqual(_UpperCAmelCase    ,   _UpperCAmelCase					)

       A       :       int							=						tokenizer(text_target=_UpperCAmelCase					).input_ids
       self.assertListEqual(_UpperCAmelCase    ,   _UpperCAmelCase					)

       A       :       str							=						tokenizer.decode(_UpperCAmelCase    ,   skip_special_tokens=_UpperCAmelCase					)
       self.assertEqual(_UpperCAmelCase    ,   _UpperCAmelCase					)







'''simple docstring'''






from math import pi
def 							_lowerCamelCase(  UpperCamelCase__    : int    ,       UpperCamelCase__    : int		)		->  float:
    return 2 * pi * radius * (angle / 360)


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