"""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


_UpperCamelCase     :		Union[str, Any]											=					get_tests_dir("fixtures/test_sentencepiece.model")

_UpperCamelCase     :		Union[str, Any]											=					{"target_lang": "fi", "source_lang": "en"}
_UpperCamelCase     :		str											=					">>zh<<"
_UpperCamelCase     :		Any											=					"Helsinki-NLP/"

if is_torch_available():
       _UpperCamelCase     :		int											=					"pt"
elif is_tf_available():
       _UpperCamelCase     :		Tuple											=					"tf"
else:
       _UpperCamelCase     :		str											=					"jax"


@require_sentencepiece
class   UpperCAmelCase_			(					_a				,							unittest.TestCase):
      lowerCamelCase__	:					List[Any]										=						MarianTokenizer
      lowerCamelCase__	:					Tuple										=						False
      lowerCamelCase__	:					str										=						True


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

             lowercase__    :	Dict     					=			MarianTokenizer.from_pretrained(self.tmpdirname							)
             tokenizer.save_pretrained(self.tmpdirname							)


      def 	_UpperCAmelCase (     self	,    **a							) ->      MarianTokenizer:
             return MarianTokenizer.from_pretrained(self.tmpdirname	,    **a							)


      def 	_UpperCAmelCase (     self	,    a							) ->      Any:
             return (
                 "This is a test",
                 "This is a test",
             )


      def 	_UpperCAmelCase (     self							) ->      Optional[int]:
             lowercase__    :	Dict     					=			'</s>'
             lowercase__    :	Union[str, Any]     					=			0

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


      def 	_UpperCAmelCase (     self							) ->      List[Any]:
             lowercase__    :	int     					=			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(a							)	,    9							)


      def 	_UpperCAmelCase (     self							) ->      str:
             self.assertEqual(self.get_tokenizer().vocab_size	,    9							)


      def 	_UpperCAmelCase (     self							) ->      Tuple:
             lowercase__    :	List[str]     					=			MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""							)
             lowercase__    :	Optional[int]     					=			en_de_tokenizer(['I am a small frog']	,    return_tensors=a							)
             self.assertIsInstance(a	,    a							)
             lowercase__    :	List[Any]     					=			[3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 0]
             self.assertListEqual(a	,    batch.input_ids[0]							)

             lowercase__    :	Any     					=			tempfile.mkdtemp()
             en_de_tokenizer.save_pretrained(a							)
             lowercase__    :	Any     					=			[x.name for x in Path(a							).glob('*'							)]
             self.assertIn('source.spm'	,    a							)
             MarianTokenizer.from_pretrained(a							)


      def 	_UpperCAmelCase (     self							) ->      Union[str, Any]:
             lowercase__    :	Union[str, Any]     					=			self.get_tokenizer()

             lowercase__    :	Tuple     					=			tok(
                 ['I am a small frog' * 1_0_0_0, 'I am a small frog']	,    padding=a	,    truncation=a	,    return_tensors=a							)
             self.assertIsInstance(a	,    a							)
             self.assertEqual(batch.input_ids.shape	,    (2, 5_1_2)							)


      def 	_UpperCAmelCase (     self							) ->      Optional[int]:
             lowercase__    :	List[str]     					=			self.get_tokenizer()
             lowercase__    :	Optional[Any]     					=			tok(['I am a tiny frog', 'I am a small frog']	,    padding=a	,    return_tensors=a							)
             self.assertIsInstance(a	,    a							)
             self.assertEqual(batch_smaller.input_ids.shape	,    (2, 1_0)							)


      @slow
      def 	_UpperCAmelCase (     self							) ->      List[Any]:
             # fmt: off
             lowercase__    :	Any     					=			{'input_ids': [[4_3_4_9_5, 4_6_2, 2_0, 4_2_1_6_4, 1_3_6_9, 5_2, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 7_4_9_1, 3_8_9_9_9, 6, 8, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 4_6_6_9, 3_7_8_6_7, 1_3, 7_5_2_5, 2_7, 1_5_9_3, 9_8_8, 1_3, 3_3_9_7_2, 7_0_2_9, 6, 2_0, 8_2_5_1, 3_8_3, 2, 2_7_0, 5_8_6_6, 3_7_8_8, 2, 2_3_5_3, 8_2_5_1, 1_2_3_3_8, 2, 1_3_9_5_8, 3_8_7, 2, 3_6_2_9, 6_9_5_3, 1_8_8, 2_9_0_0, 2, 1_3_9_5_8, 8_0_1_1, 1_1_5_0_1, 2_3, 8_4_6_0, 4_0_7_3, 3_4_0_0_9, 2_0, 4_3_5, 1_1_4_3_9, 2_7, 8, 8_4_6_0, 4_0_7_3, 6_0_0_4, 2_0, 9_9_8_8, 3_7_5, 2_7, 3_3, 2_6_6, 1_9_4_5, 1_0_7_6, 1_3_5_0, 3_7_8_6_7, 3_2_8_8, 5, 5_7_7, 1_0_7_6, 4_3_7_4, 8, 5_0_8_2, 5, 2_6_4_5_3, 2_5_7, 5_5_6, 4_0_3, 2, 2_4_2, 1_3_2, 3_8_3, 3_1_6, 4_9_2, 8, 1_0_7_6_7, 6, 3_1_6, 3_0_4, 4_2_3_9, 3, 0], [1_4_8, 1_5_7_2_2, 1_9, 1_8_3_9, 1_2, 1_3_5_0, 1_3, 2_2_3_2_7, 5_0_8_2, 5_4_1_8, 4_7_5_6_7, 3_5_9_3_8, 5_9, 3_1_8, 1_9_5_5_2, 1_0_8, 2_1_8_3, 5_4, 1_4_9_7_6, 4_8_3_5, 3_2, 5_4_7, 1_1_1_4, 8, 3_1_5, 2_4_1_7, 5, 9_2, 1_9_0_8_8, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0], [3_6, 6_3_9_5, 1_2_5_7_0, 3_9_1_4_7, 1_1_5_9_7, 6, 2_6_6, 4, 4_5_4_0_5, 7_2_9_6, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=a	,    model_name='Helsinki-NLP/opus-mt-en-de'	,    revision='1a8c2263da11e68e50938f97e10cd57820bd504c'	,    decode_kwargs={'use_source_tokenizer': True}	,    )


      def 	_UpperCAmelCase (     self							) ->      Any:
             lowercase__    :	List[Any]     					=			MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'							)

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

             lowercase__    :	Union[str, Any]     					=			[7_6, 7, 2_0_4_7, 2]
             lowercase__    :	Optional[int]     					=			[6_9, 1_2, 1_1, 9_4_0, 2]

             lowercase__    :	List[str]     					=			tokenizer(a							).input_ids
             self.assertListEqual(a	,    a							)

             lowercase__    :	List[str]     					=			tokenizer(text_target=a							).input_ids
             self.assertListEqual(a	,    a							)

             lowercase__    :	Optional[Any]     					=			tokenizer.decode(a	,    skip_special_tokens=a							)
             self.assertEqual(a	,    a							)


"""simple docstring"""





from __future__ import annotations





def        a_  (   _lowerCAmelCase						:				float     ,				_lowerCAmelCase						:				float     ,				_lowerCAmelCase						:				float     ,				):





       '''simple docstring'''

       if (stress, tangential_force, area).count(0  ) != 1:
              raise ValueError('You cannot supply more or less than 2 values'  )
       elif stress < 0:
              raise ValueError('Stress cannot be negative'  )
       elif tangential_force < 0:
              raise ValueError('Tangential Force cannot be negative'  )
       elif area < 0:
              raise ValueError('Area cannot be negative'  )
       elif stress == 0:
              return (
                  "stress",
                  tangential_force / area,
              )
       elif tangential_force == 0:
              return (
                  "tangential_force",
                  stress * area,
              )
       else:
              return (
                  "area",
                  tangential_force / stress,
              )


if __name__ == "__main__":
       import doctest

       doctest.testmod()

