





"""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


a		:				int  			=    get_tests_dir('''fixtures/test_sentencepiece.model''')

a		:				int  			=    {'''target_lang''': '''fi''', '''source_lang''': '''en'''}
a		:				Optional[int]  			=    '''>>zh<<'''
a		:				Any  			=    '''Helsinki-NLP/'''

if is_torch_available():
					a		:				Optional[Any]  			=    '''pt'''
elif is_tf_available():
					a		:				Any  			=    '''tf'''
else:
					a		:				int  			=    '''jax'''


@require_sentencepiece
class  __UpperCamelCase       (		a__	, unittest.TestCase		):
							lowerCamelCase     :      int         =MarianTokenizer
							lowerCamelCase     :      str         =False
							lowerCamelCase     :      str         =True






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

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






							def 					__a     (     self   ,      **lowerCAmelCase__   )			->				MarianTokenizer:
								return MarianTokenizer.from_pretrained(self.tmpdirname   ,      **lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   )			->				Union[str, Any]:
								return (
								    "This is a test",
								    "This is a test",
								)






							def 					__a     (     self   )			->				Any:
								a   :	List[Any]			=       "</s>"
								a   :	int			=       0

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






							def 					__a     (     self   )			->				List[str]:
								a   :	Dict			=       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(lowerCAmelCase__   )   ,      9   )






							def 					__a     (     self   )			->				int:
								self.assertEqual(self.get_tokenizer().vocab_size   ,      9   )






							def 					__a     (     self   )			->				List[str]:
								a   :	Dict			=       MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""   )
								a   :	Any			=       en_de_tokenizer(["I am a small frog"]   ,      return_tensors=lowerCAmelCase__   )
								self.assertIsInstance(lowerCAmelCase__   ,      lowerCAmelCase__   )
								a   :	Optional[Any]			=       [38, 121, 14, 697, 3_8848, 0]
								self.assertListEqual(lowerCAmelCase__   ,      batch.input_ids[0]   )

								a   :	Dict			=       tempfile.mkdtemp()
								en_de_tokenizer.save_pretrained(lowerCAmelCase__   )
								a   :	Union[str, Any]			=       [x.name for x in Path(lowerCAmelCase__   ).glob("*"   )]
								self.assertIn("source.spm"   ,      lowerCAmelCase__   )
								MarianTokenizer.from_pretrained(lowerCAmelCase__   )






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

								a   :	List[Any]			=       tok(
								    ["I am a small frog" * 1000, "I am a small frog"]   ,      padding=lowerCAmelCase__   ,      truncation=lowerCAmelCase__   ,      return_tensors=lowerCAmelCase__   )
								self.assertIsInstance(lowerCAmelCase__   ,      lowerCAmelCase__   )
								self.assertEqual(batch.input_ids.shape   ,      (2, 512)   )






							def 					__a     (     self   )			->				int:
								a   :	str			=       self.get_tokenizer()
								a   :	Tuple			=       tok(["I am a tiny frog", "I am a small frog"]   ,      padding=lowerCAmelCase__   ,      return_tensors=lowerCAmelCase__   )
								self.assertIsInstance(lowerCAmelCase__   ,      lowerCAmelCase__   )
								self.assertEqual(batch_smaller.input_ids.shape   ,      (2, 10)   )






							@slow
							def 					__a     (     self   )			->				Dict:
								# fmt: off
								a   :	List[Any]			=       {"input_ids": [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], "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=lowerCAmelCase__   ,      model_name="Helsinki-NLP/opus-mt-en-de"   ,      revision="1a8c2263da11e68e50938f97e10cd57820bd504c"   ,      decode_kwargs={"use_source_tokenizer": True}   ,      )






							def 					__a     (     self   )			->				int:
								a   :	str			=       MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"   )

								a   :	Union[str, Any]			=       "Tämä on testi"
								a   :	Any			=       "This is a test"

								a   :	Optional[Any]			=       [76, 7, 2047, 2]
								a   :	Dict			=       [69, 12, 11, 940, 2]

								a   :	int			=       tokenizer(lowerCAmelCase__   ).input_ids
								self.assertListEqual(lowerCAmelCase__   ,      lowerCAmelCase__   )

								a   :	int			=       tokenizer(text_target=lowerCAmelCase__   ).input_ids
								self.assertListEqual(lowerCAmelCase__   ,      lowerCAmelCase__   )

								a   :	str			=       tokenizer.decode(lowerCAmelCase__   ,      skip_special_tokens=lowerCAmelCase__   )
								self.assertEqual(lowerCAmelCase__   ,      lowerCAmelCase__   )









"""simple docstring"""




import baseaa






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str      )				->bytes:






	'''simple docstring'''






	return baseaa.aaaencode(string.encode("utf-8"      )      )






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					bytes      )				->str:






	'''simple docstring'''






	return baseaa.aaadecode(_lowercase      ).decode("utf-8"      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()


