





'''simple docstring'''


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class     lowerCAmelCase__ (				UpperCAmelCase_      , unittest.TestCase    ):

       '''simple docstring'''
       _lowerCamelCase								=RoCBertTokenizer
       _lowerCamelCase								=None
       _lowerCamelCase								=False
       _lowerCamelCase								=True
       _lowerCamelCase								=filter_non_english

       def 			__snake_case      ( self					:				Any						):
              super().setUp()

              UpperCAmelCase  =						['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
              UpperCAmelCase  =						{}
              UpperCAmelCase  =						{}
              for i, value in enumerate(a__						):
                     UpperCAmelCase  =						i
                     UpperCAmelCase  =						i
              UpperCAmelCase  =						os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''vocab_file''']						)
              UpperCAmelCase  =						os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''word_shape_file''']						)
              UpperCAmelCase  =						os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''word_pronunciation_file''']						)
              with open(self.vocab_file       ,     '''w'''       ,     encoding='''utf-8'''						) as vocab_writer:
                     vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]						)						)
              with open(self.word_shape_file       ,     '''w'''       ,     encoding='''utf-8'''						) as word_shape_writer:
                     json.dump(a__       ,     a__       ,     ensure_ascii=a__						)
              with open(self.word_pronunciation_file       ,     '''w'''       ,     encoding='''utf-8'''						) as word_pronunciation_writer:
                     json.dump(a__       ,     a__       ,     ensure_ascii=a__						)

       def 			__snake_case      ( self					:				List[Any]						):
              UpperCAmelCase  =						self.tokenizer_class(self.vocab_file       ,     self.word_shape_file       ,     self.word_pronunciation_file						)

              UpperCAmelCase  =						tokenizer.tokenize('''你好[SEP]你是谁'''						)
              self.assertListEqual(a__       ,     ['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']						)
              self.assertListEqual(tokenizer.convert_tokens_to_ids(a__						)       ,     [5, 6, 2, 5, 7, 8]						)
              self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(a__						)       ,     [5, 6, 2, 5, 7, 8]						)
              self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(a__						)       ,     [5, 6, 2, 5, 7, 8]						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer()

              self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''						)       ,     ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''						)       ,     ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']						)
              self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''						)       ,     ['''hello''']						)

       def 			__snake_case      ( self					:				Tuple						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__       ,     strip_accents=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''						)       ,     ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']						)
              self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''						)       ,     ['''h\u00E9llo''']						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__       ,     strip_accents=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''						)       ,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']						)
              self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''						)       ,     ['''hello''']						)

       def 			__snake_case      ( self					:				Tuple						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''						)       ,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']						)
              self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''						)       ,     ['''hello''']						)

       def 			__snake_case      ( self					:				int						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''						)       ,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']						)

       def 			__snake_case      ( self					:				Optional[Any]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__       ,     strip_accents=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''						)       ,     ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']						)

       def 			__snake_case      ( self					:				Optional[Any]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__       ,     strip_accents=a__						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''						)       ,     ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						RoCBertBasicTokenizer(do_lower_case=a__       ,     never_split=['''[UNK]''']						)

              self.assertListEqual(
                  tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''						)       ,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

              UpperCAmelCase  =						{}
              for i, token in enumerate(a__						):
                     UpperCAmelCase  =						i
              UpperCAmelCase  =						RoCBertWordpieceTokenizer(vocab=a__       ,     unk_token='''[UNK]'''						)

              self.assertListEqual(tokenizer.tokenize(''''''						)       ,     []						)

              self.assertListEqual(tokenizer.tokenize('''unwanted running'''						)       ,     ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']						)

              self.assertListEqual(tokenizer.tokenize('''unwantedX running'''						)       ,     ['''[UNK]''', '''runn''', '''##ing''']						)

       def 			__snake_case      ( self					:				int						):
              self.assertTrue(_is_whitespace(''' '''						)						)
              self.assertTrue(_is_whitespace('''\t'''						)						)
              self.assertTrue(_is_whitespace('''\r'''						)						)
              self.assertTrue(_is_whitespace('''\n'''						)						)
              self.assertTrue(_is_whitespace('''\u00A0'''						)						)

              self.assertFalse(_is_whitespace('''A'''						)						)
              self.assertFalse(_is_whitespace('''-'''						)						)

       def 			__snake_case      ( self					:				Union[str, Any]						):
              self.assertTrue(_is_control('''\u0005'''						)						)

              self.assertFalse(_is_control('''A'''						)						)
              self.assertFalse(_is_control(''' '''						)						)
              self.assertFalse(_is_control('''\t'''						)						)
              self.assertFalse(_is_control('''\r'''						)						)

       def 			__snake_case      ( self					:				Any						):
              self.assertTrue(_is_punctuation('''-'''						)						)
              self.assertTrue(_is_punctuation('''$'''						)						)
              self.assertTrue(_is_punctuation('''`'''						)						)
              self.assertTrue(_is_punctuation('''.'''						)						)

              self.assertFalse(_is_punctuation('''A'''						)						)
              self.assertFalse(_is_punctuation(''' '''						)						)

       def 			__snake_case      ( self					:				Optional[int]						):
              UpperCAmelCase  =						self.get_tokenizer()

              # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
              self.assertListEqual([tokenizer.tokenize(a__						) for t in ['''Test''', '''\xad''', '''test''']]       ,     [['''[UNK]'''], [], ['''[UNK]''']]						)

              if self.test_rust_tokenizer:
                     UpperCAmelCase  =						self.get_rust_tokenizer()
                     self.assertListEqual(
                         [rust_tokenizer.tokenize(a__						) for t in ['''Test''', '''\xad''', '''test''']]       ,     [['''[UNK]'''], [], ['''[UNK]''']]						)

       def 			__snake_case      ( self					:				int						):
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
                            UpperCAmelCase  =						self.rust_tokenizer_class.from_pretrained(a__       ,     **a__						)

                            UpperCAmelCase  =						f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                            UpperCAmelCase  =						tokenizer_r.encode_plus(
                                a__       ,     return_attention_mask=a__       ,     return_token_type_ids=a__       ,     return_offsets_mapping=a__       ,     add_special_tokens=a__       ,     )

                            UpperCAmelCase  =						tokenizer_r.do_lower_case if hasattr(a__       ,     '''do_lower_case'''						) else False
                            UpperCAmelCase  =						(
                                [
                                    ((0, 0), tokenizer_r.cls_token),
                                    ((0, 1), '''A'''),
                                    ((1, 2), ''','''),
                                    ((3, 5), '''na'''),
                                    ((5, 6), '''##ï'''),
                                    ((6, 8), '''##ve'''),
                                    ((9, 15), tokenizer_r.mask_token),
                                    ((16, 21), '''Allen'''),
                                    ((21, 23), '''##NL'''),
                                    ((23, 24), '''##P'''),
                                    ((25, 33), '''sentence'''),
                                    ((33, 34), '''.'''),
                                    ((0, 0), tokenizer_r.sep_token),
                                ]
                                if not do_lower_case
                                else [
                                    ((0, 0), tokenizer_r.cls_token),
                                    ((0, 1), '''a'''),
                                    ((1, 2), ''','''),
                                    ((3, 8), '''naive'''),
                                    ((9, 15), tokenizer_r.mask_token),
                                    ((16, 21), '''allen'''),
                                    ((21, 23), '''##nl'''),
                                    ((23, 24), '''##p'''),
                                    ((25, 33), '''sentence'''),
                                    ((33, 34), '''.'''),
                                    ((0, 0), tokenizer_r.sep_token),
                                ]
                            )

                            self.assertEqual(
                                [e[1] for e in expected_results]       ,     tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']						)						)
                            self.assertEqual([e[0] for e in expected_results]       ,     tokens['''offset_mapping''']						)

       def 			__snake_case      ( self					:				List[str]						):
              UpperCAmelCase  =						['''的''', '''人''', '''有''']
              UpperCAmelCase  =						''''''.join(a__						)
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
                            UpperCAmelCase  =						True
                            UpperCAmelCase  =						self.tokenizer_class.from_pretrained(a__       ,     **a__						)
                            UpperCAmelCase  =						self.rust_tokenizer_class.from_pretrained(a__       ,     **a__						)

                            UpperCAmelCase  =						tokenizer_p.encode(a__       ,     add_special_tokens=a__						)
                            UpperCAmelCase  =						tokenizer_r.encode(a__       ,     add_special_tokens=a__						)

                            UpperCAmelCase  =						tokenizer_r.convert_ids_to_tokens(a__						)
                            UpperCAmelCase  =						tokenizer_p.convert_ids_to_tokens(a__						)

                            # it is expected that each Chinese character is not preceded by "##"
                            self.assertListEqual(a__       ,     a__						)
                            self.assertListEqual(a__       ,     a__						)

                            UpperCAmelCase  =						False
                            UpperCAmelCase  =						self.rust_tokenizer_class.from_pretrained(a__       ,     **a__						)
                            UpperCAmelCase  =						self.tokenizer_class.from_pretrained(a__       ,     **a__						)

                            UpperCAmelCase  =						tokenizer_r.encode(a__       ,     add_special_tokens=a__						)
                            UpperCAmelCase  =						tokenizer_p.encode(a__       ,     add_special_tokens=a__						)

                            UpperCAmelCase  =						tokenizer_r.convert_ids_to_tokens(a__						)
                            UpperCAmelCase  =						tokenizer_p.convert_ids_to_tokens(a__						)

                            # it is expected that only the first Chinese character is not preceded by "##".
                            UpperCAmelCase  =						[
                                f"##{token}" if idx != 0 else token for idx, token in enumerate(a__						)
                            ]
                            self.assertListEqual(a__       ,     a__						)
                            self.assertListEqual(a__       ,     a__						)

       @slow
       def 			__snake_case      ( self					:				str						):
              UpperCAmelCase  =						self.tokenizer_class(self.vocab_file       ,     self.word_shape_file       ,     self.word_pronunciation_file						)

              UpperCAmelCase  =						tokenizer.encode('''你好'''       ,     add_special_tokens=a__						)
              UpperCAmelCase  =						tokenizer.encode('''你是谁'''       ,     add_special_tokens=a__						)

              UpperCAmelCase  =						tokenizer.build_inputs_with_special_tokens(a__						)
              UpperCAmelCase  =						tokenizer.build_inputs_with_special_tokens(a__       ,     a__						)

              assert encoded_sentence == [1] + text + [2]
              assert encoded_pair == [1] + text + [2] + text_a + [2]



       def 			__snake_case      ( self					:				str						):
              UpperCAmelCase  =						self.get_tokenizers(do_lower_case=a__						)
              for tokenizer in tokenizers:
                     with self.subTest(f"{tokenizer.__class__.__name__}"						):
                            UpperCAmelCase  =						'''你好，你是谁'''
                            UpperCAmelCase  =						tokenizer.tokenize(a__						)
                            UpperCAmelCase  =						tokenizer.convert_tokens_to_ids(a__						)
                            UpperCAmelCase  =						tokenizer.convert_tokens_to_shape_ids(a__						)
                            UpperCAmelCase  =						tokenizer.convert_tokens_to_pronunciation_ids(a__						)
                            UpperCAmelCase  =						tokenizer.prepare_for_model(
                                a__       ,     a__       ,     a__       ,     add_special_tokens=a__						)

                            UpperCAmelCase  =						tokenizer.encode_plus(a__       ,     add_special_tokens=a__						)

                            self.assertEqual(a__       ,     a__						)







"""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				:  List[Any] =       get_tests_dir('fixtures/test_sentencepiece.model')

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

if is_torch_available():
	__snake_case				:  Optional[int] =       'pt'
elif is_tf_available():
	__snake_case				:  List[Any] =       'tf'
else:
	__snake_case				:  Union[str, Any] =       'jax'



@require_sentencepiece
class      A__  (    __SCREAMING_SNAKE_CASE    ,						unittest.TestCase				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      MarianTokenizer
	SCREAMING_SNAKE_CASE        =      False
	SCREAMING_SNAKE_CASE        =      True

	def 				_SCREAMING_SNAKE_CASE  (	self:						int)							->			Tuple:

				"""simple docstring"""

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

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			MarianTokenizer:

				"""simple docstring"""

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						List[str])							->			Dict:

				"""simple docstring"""

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

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

				"""simple docstring"""

				__lowerCAmelCase :    Union[str, Any]				=			"</s>"
				__lowerCAmelCase :    int				=			0

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple)							->			List[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			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(_SCREAMING_SNAKE_CASE)			,     9)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple)							->			Dict:

				"""simple docstring"""

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

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

				"""simple docstring"""

				__lowerCAmelCase :    Optional[Any]				=			MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de""")
				__lowerCAmelCase :    int				=			en_de_tokenizer(["I am a small frog"]			,     return_tensors=_SCREAMING_SNAKE_CASE)
				self.assertIsInstance(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Optional[int]				=			[38, 121, 14, 697, 3_8848, 0]
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     batch.input_ids[0])

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

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

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			self.get_tokenizer()

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any])							->			Optional[Any]:

				"""simple docstring"""

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

	@slow
	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[Any])							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[int]				=			{"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=_SCREAMING_SNAKE_CASE			,     model_name="Helsinki-NLP/opus-mt-en-de"			,     revision="1a8c2263da11e68e50938f97e10cd57820bd504c"			,     decode_kwargs={"use_source_tokenizer": True}			,     )







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

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs")

				__lowerCAmelCase :    List[str]				=			"Tämä on testi"
				__lowerCAmelCase :    int				=			"This is a test"

				__lowerCAmelCase :    Union[str, Any]				=			[76, 7, 2047, 2]
				__lowerCAmelCase :    Dict				=			[69, 12, 11, 940, 2]

				__lowerCAmelCase :    List[str]				=			tokenizer(_SCREAMING_SNAKE_CASE).input_ids
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    str				=			tokenizer(text_target=_SCREAMING_SNAKE_CASE).input_ids
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    Dict				=			tokenizer.decode(_SCREAMING_SNAKE_CASE			,     skip_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)