
"""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


SCREAMING_SNAKE_CASE_					     =	get_tests_dir('''fixtures/test_sentencepiece.model''')

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

if is_torch_available():
			SCREAMING_SNAKE_CASE_					     =	'''pt'''
elif is_tf_available():
			SCREAMING_SNAKE_CASE_					     =	'''tf'''
else:
			SCREAMING_SNAKE_CASE_					     =	'''jax'''
@require_sentencepiece
class       lowerCAmelCase_		(				A__				,				unittest.TestCase ):



							'''simple docstring'''





							_snake_case						      =		MarianTokenizer
							_snake_case						      =		False
							_snake_case						      =		True




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

													__lowerCAmelCase     =  MarianTokenizer.from_pretrained(self.tmpdirname				)
													tokenizer.save_pretrained(self.tmpdirname				)




							def    A__						( self    ,				**snake_case_				)       ->  MarianTokenizer:
													return MarianTokenizer.from_pretrained(self.tmpdirname    ,				**snake_case_				)




							def    A__						( self    ,				snake_case_				)       ->  str:
													return (
													    "This is a test",
													    "This is a test",
													)




							def    A__						( self				)       ->  Union[str, Any]:
													__lowerCAmelCase     =  """</s>"""
													__lowerCAmelCase     =  0

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




							def    A__						( self				)       ->  List[str]:
													__lowerCAmelCase     =  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(snake_case_				)    ,				9				)




							def    A__						( self				)       ->  Optional[Any]:
													self.assertEqual(self.get_tokenizer().vocab_size    ,				9				)




							def    A__						( self				)       ->  Dict:
													__lowerCAmelCase     =  MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""				)
													__lowerCAmelCase     =  en_de_tokenizer(["""I am a small frog"""]    ,				return_tensors=snake_case_				)
													self.assertIsInstance(snake_case_    ,				snake_case_				)
													__lowerCAmelCase     =  [38, 121, 14, 697, 38_848, 0]
													self.assertListEqual(snake_case_    ,				batch.input_ids[0]				)

													__lowerCAmelCase     =  tempfile.mkdtemp()
													en_de_tokenizer.save_pretrained(snake_case_				)
													__lowerCAmelCase     =  [x.name for x in Path(snake_case_				).glob("""*"""				)]
													self.assertIn("""source.spm"""    ,				snake_case_				)
													MarianTokenizer.from_pretrained(snake_case_				)




							def    A__						( self				)       ->  Optional[Any]:
													__lowerCAmelCase     =  self.get_tokenizer()

													__lowerCAmelCase     =  tok(
													    ["""I am a small frog""" * 1_000, """I am a small frog"""]    ,				padding=snake_case_    ,				truncation=snake_case_    ,				return_tensors=snake_case_				)
													self.assertIsInstance(snake_case_    ,				snake_case_				)
													self.assertEqual(batch.input_ids.shape    ,				(2, 512)				)




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




							@slow
							def    A__						( self				)       ->  Tuple:
													# fmt: off
													__lowerCAmelCase     =  {"""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=snake_case_    ,				model_name="""Helsinki-NLP/opus-mt-en-de"""    ,				revision="""1a8c2263da11e68e50938f97e10cd57820bd504c"""    ,				decode_kwargs={"""use_source_tokenizer""": True}    ,				)




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

													__lowerCAmelCase     =  """Tämä on testi"""
													__lowerCAmelCase     =  """This is a test"""

													__lowerCAmelCase     =  [76, 7, 2_047, 2]
													__lowerCAmelCase     =  [69, 12, 11, 940, 2]

													__lowerCAmelCase     =  tokenizer(snake_case_				).input_ids
													self.assertListEqual(snake_case_    ,				snake_case_				)

													__lowerCAmelCase     =  tokenizer(text_target=snake_case_				).input_ids
													self.assertListEqual(snake_case_    ,				snake_case_				)

													__lowerCAmelCase     =  tokenizer.decode(snake_case_    ,				skip_special_tokens=snake_case_				)
													self.assertEqual(snake_case_    ,				snake_case_				)


"""simple docstring"""
import warnings

from ..trainer import Trainer
from ..utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							def __init__( self    ,				snake_case_=None    ,				**snake_case_				)       ->  Optional[Any]:
													warnings.warn(
													    """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
													    """instead."""    ,				snake_case_    ,				)
													super().__init__(args=snake_case_    ,				**snake_case_				)
