





'''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 							__lowercase       (      __snake_case ,      unittest.TestCase						):







	'''simple docstring'''

	a    :				Union[str, Any]											=       MarianTokenizer
	a    :				List[str]											=       False
	a    :				str											=       True


	def 						_UpperCAmelCase     (self )							->							List[str]:







				'''simple docstring'''





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

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


	def 						_UpperCAmelCase     (self     ,**_lowerCamelCase )							->							List[Any]:







				'''simple docstring'''





				return MarianTokenizer.from_pretrained(self.tmpdirname     ,**_lowercase )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Tuple:







				'''simple docstring'''





				return (
				    "This is a test",
				    "This is a test",
				)


	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							"""</s>"""
				__lowercase										=							0

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


	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				__lowercase										=							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(_lowercase )     ,9 )


	def 						_UpperCAmelCase     (self )							->							Optional[Any]:







				'''simple docstring'''





				self.assertEqual(self.get_tokenizer().vocab_size     ,9 )


	def 						_UpperCAmelCase     (self )							->							Optional[int]:







				'''simple docstring'''





				__lowercase										=							MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de" )
				__lowercase										=							en_de_tokenizer(['''I am a small frog''']     ,return_tensors=_lowercase )
				self.assertIsInstance(_lowercase     ,_lowercase )
				__lowercase										=							[38, 121, 14, 697, 38848, 0]
				self.assertListEqual(_lowercase     ,batch.input_ids[0] )

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


	def 						_UpperCAmelCase     (self )							->							List[Any]:







				'''simple docstring'''





				__lowercase										=							self.get_tokenizer()

				__lowercase										=							tok(
				    ['''I am a small frog''' * 1000, '''I am a small frog''']     ,padding=_lowercase     ,truncation=_lowercase     ,return_tensors=_lowercase )
				self.assertIsInstance(_lowercase     ,_lowercase )
				self.assertEqual(batch.input_ids.shape     ,(2, 512) )


	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							self.get_tokenizer()
				__lowercase										=							tok(['''I am a tiny frog''', '''I am a small frog''']     ,padding=_lowercase     ,return_tensors=_lowercase )
				self.assertIsInstance(_lowercase     ,_lowercase )
				self.assertEqual(batch_smaller.input_ids.shape     ,(2, 10) )


	@slow
	def 						_UpperCAmelCase     (self )							->							str:







				'''simple docstring'''





				__lowercase										=							{"""input_ids""": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], """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=_lowercase     ,model_name='''Helsinki-NLP/opus-mt-en-de'''     ,revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''     ,decode_kwargs={'''use_source_tokenizer''': True}     ,)


	def 						_UpperCAmelCase     (self )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase										=							MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs''' )

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

				__lowercase										=							[76, 7, 2047, 2]
				__lowercase										=							[69, 12, 11, 940, 2]

				__lowercase										=							tokenizer(_lowercase ).input_ids
				self.assertListEqual(_lowercase     ,_lowercase )

				__lowercase										=							tokenizer(text_target=_lowercase ).input_ids
				self.assertListEqual(_lowercase     ,_lowercase )

				__lowercase										=							tokenizer.decode(_lowercase     ,skip_special_tokens=_lowercase )
				self.assertEqual(_lowercase     ,_lowercase )









'''simple docstring'''



# flake8: noqa
# Lint as: python3
_SCREAMING_SNAKE_CASE					=    [
    '''VerificationMode''',
    '''Version''',
    '''disable_progress_bar''',
    '''enable_progress_bar''',
    '''is_progress_bar_enabled''',
    '''experimental''',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental





