
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase__ :       Optional[int]						     =			get_tests_dir("fixtures/test_sentencepiece.model")

if is_torch_available():
					from transformers.models.mbart.modeling_mbart import shift_tokens_right

lowerCamelCase__ :       str						     =			250004
lowerCamelCase__ :       Dict						     =			250020




@require_sentencepiece
@require_tokenizers
class 				lowercase__(				_UpperCAmelCase		,						unittest.TestCase   ):
	'''simple docstring'''

	UpperCamelCase				=  MBartaaTokenizer
	UpperCamelCase				=  MBartaaTokenizerFast
	UpperCamelCase				=  True
	UpperCamelCase				=  True





	def   __lowerCAmelCase (						self    :Union[str, Any]					)							->			Optional[int]:







			'''simple docstring'''




			super().setUp()

			# We have a SentencePiece fixture for testing
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= MBartaaTokenizer(lowerCamelCase_		, src_lang='''en_XX'''		, tgt_lang='''ro_RO'''		, keep_accents=lowerCamelCase_					)
			tokenizer.save_pretrained(self.tmpdirname					)





	def   __lowerCAmelCase (						self    :List[str]					)							->			Tuple:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Optional[Any]				= '''<s>'''
			SCREAMING_SNAKE_CASE       :     Dict				= 0

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





	def   __lowerCAmelCase (						self    :str					)							->			Any:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     int				= list(self.get_tokenizer().get_vocab().keys()					)

			self.assertEqual(vocab_keys[0]		, '''<s>'''					)
			self.assertEqual(vocab_keys[1]		, '''<pad>'''					)
			self.assertEqual(vocab_keys[-1]		, '''<mask>'''					)
			self.assertEqual(len(lowerCamelCase_					)		, 10_54					)





	def   __lowerCAmelCase (						self    :Tuple					)							->			str:







			'''simple docstring'''




			self.assertEqual(self.get_tokenizer().vocab_size		, 10_54					)





	def   __lowerCAmelCase (						self    :Union[str, Any]					)							->			Optional[int]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Dict				= MBartaaTokenizer(lowerCamelCase_		, src_lang='''en_XX'''		, tgt_lang='''ro_RO'''		, keep_accents=lowerCamelCase_					)

			SCREAMING_SNAKE_CASE       :     List[str]				= tokenizer.tokenize('''This is a test'''					)
			self.assertListEqual(lowerCamelCase_		, ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']					)

			self.assertListEqual(
			    tokenizer.convert_tokens_to_ids(lowerCamelCase_					)		, [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]		, )

			SCREAMING_SNAKE_CASE       :     List[Any]				= tokenizer.tokenize('''I was born in 92000, and this is falsé.'''					)
			self.assertListEqual(
			    lowerCamelCase_		, [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.''']		, )
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= tokenizer.convert_tokens_to_ids(lowerCamelCase_					)
			self.assertListEqual(
			    lowerCamelCase_		, [
			        value + tokenizer.fairseq_offset
			        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
			    ]		, )

			SCREAMING_SNAKE_CASE       :     str				= tokenizer.convert_ids_to_tokens(lowerCamelCase_					)
			self.assertListEqual(
			    lowerCamelCase_		, [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.''']		, )





	@slow
	def   __lowerCAmelCase (						self    :Union[str, Any]					)							->			str:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     List[Any]				= {'''input_ids''': [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''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, 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], [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, 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='''facebook/mbart-large-50'''		, revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''		, )







	def   __lowerCAmelCase (						self    :Union[str, Any]					)							->			Optional[int]:







			'''simple docstring'''




			if not self.test_slow_tokenizer:
					# as we don't have a slow version, we can't compare the outputs between slow and fast versions
					return

			SCREAMING_SNAKE_CASE       :     Optional[int]				= (self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart50''', {})
			for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"					):
							SCREAMING_SNAKE_CASE       :     int				= self.rust_tokenizer_class.from_pretrained(lowerCamelCase_		, **lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     Optional[Any]				= self.tokenizer_class.from_pretrained(lowerCamelCase_		, **lowerCamelCase_					)

							SCREAMING_SNAKE_CASE       :     int				= tempfile.mkdtemp()

							SCREAMING_SNAKE_CASE       :     List[str]				= tokenizer_r.save_pretrained(lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     int				= tokenizer_p.save_pretrained(lowerCamelCase_					)

							# Checks it save with the same files + the tokenizer.json file for the fast one
							self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files					)					)
							SCREAMING_SNAKE_CASE       :     Optional[int]				= tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f					)
							self.assertSequenceEqual(lowerCamelCase_		, lowerCamelCase_					)

							# Checks everything loads correctly in the same way
							SCREAMING_SNAKE_CASE       :     Dict				= tokenizer_r.from_pretrained(lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     Optional[Any]				= tokenizer_p.from_pretrained(lowerCamelCase_					)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
									self.assertTrue(hasattr(lowerCamelCase_		, lowerCamelCase_					)					)
									# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
									# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

							shutil.rmtree(lowerCamelCase_					)

							# Save tokenizer rust, legacy_format=True
							SCREAMING_SNAKE_CASE       :     List[Any]				= tempfile.mkdtemp()

							SCREAMING_SNAKE_CASE       :     str				= tokenizer_r.save_pretrained(lowerCamelCase_		, legacy_format=lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     str				= tokenizer_p.save_pretrained(lowerCamelCase_					)

							# Checks it save with the same files
							self.assertSequenceEqual(lowerCamelCase_		, lowerCamelCase_					)

							# Checks everything loads correctly in the same way
							SCREAMING_SNAKE_CASE       :     int				= tokenizer_r.from_pretrained(lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     Optional[Any]				= tokenizer_p.from_pretrained(lowerCamelCase_					)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
									self.assertTrue(hasattr(lowerCamelCase_		, lowerCamelCase_					)					)

							shutil.rmtree(lowerCamelCase_					)

							# Save tokenizer rust, legacy_format=False
							SCREAMING_SNAKE_CASE       :     Optional[int]				= tempfile.mkdtemp()

							SCREAMING_SNAKE_CASE       :     List[Any]				= tokenizer_r.save_pretrained(lowerCamelCase_		, legacy_format=lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     int				= tokenizer_p.save_pretrained(lowerCamelCase_					)

							# Checks it saved the tokenizer.json file
							self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files					)					)

							# Checks everything loads correctly in the same way
							SCREAMING_SNAKE_CASE       :     Union[str, Any]				= tokenizer_r.from_pretrained(lowerCamelCase_					)
							SCREAMING_SNAKE_CASE       :     List[Any]				= tokenizer_p.from_pretrained(lowerCamelCase_					)

							# Check special tokens are set accordingly on Rust and Python
							for key in tokenizer_pp.special_tokens_map:
									self.assertTrue(hasattr(lowerCamelCase_		, lowerCamelCase_					)					)

							shutil.rmtree(lowerCamelCase_					)





@require_torch
@require_sentencepiece
@require_tokenizers
class 				lowercase__(				unittest.TestCase   ):
	'''simple docstring'''

	UpperCamelCase				=  """facebook/mbart-large-50-one-to-many-mmt"""
	UpperCamelCase				=  [
	    """ UN Chief Says There Is No Military Solution in Syria""",
	    """ Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.""",
	]
	UpperCamelCase				=  [
	    """Şeful ONU declară că nu există o soluţie militară în Siria""",
	    """Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"""
	    """ pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"""
	    """ face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.""",
	]
	UpperCamelCase				=  [EN_CODE, 82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2]





	@classmethod
	def   __lowerCAmelCase (						cls    :Optional[Any]					)							->			Union[str, Any]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     MBartaaTokenizer				= MBartaaTokenizer.from_pretrained(
			    cls.checkpoint_name		, src_lang='''en_XX'''		, tgt_lang='''ro_RO'''					)
			SCREAMING_SNAKE_CASE       :     Optional[int]				= 1
			return cls





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







			'''simple docstring'''




			self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']		, 25_00_01					)
			self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']		, 25_00_04					)
			self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']		, 25_00_20					)
			self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']		, 25_00_38					)





	def   __lowerCAmelCase (						self    :Dict					)							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     str				= self.tokenizer.batch_encode_plus(self.src_text					).input_ids[0]
			self.assertListEqual(self.expected_src_tokens		, lowerCamelCase_					)





	def   __lowerCAmelCase (						self    :Dict					)							->			Any:







			'''simple docstring'''




			self.assertIn(lowerCamelCase_		, self.tokenizer.all_special_ids					)
			SCREAMING_SNAKE_CASE       :     Any				= [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= self.tokenizer.decode(lowerCamelCase_		, skip_special_tokens=lowerCamelCase_					)
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= self.tokenizer.decode(generated_ids[1:]		, skip_special_tokens=lowerCamelCase_					)
			self.assertEqual(lowerCamelCase_		, lowerCamelCase_					)
			self.assertNotIn(self.tokenizer.eos_token		, lowerCamelCase_					)





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







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= ['''this is gunna be a long sentence ''' * 20]
			assert isinstance(src_text[0]		, lowerCamelCase_					)
			SCREAMING_SNAKE_CASE       :     int				= 10
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= self.tokenizer(lowerCamelCase_		, max_length=lowerCamelCase_		, truncation=lowerCamelCase_					).input_ids[0]
			self.assertEqual(ids[0]		, lowerCamelCase_					)
			self.assertEqual(ids[-1]		, 2					)
			self.assertEqual(len(lowerCamelCase_					)		, lowerCamelCase_					)





	def   __lowerCAmelCase (						self    :int					)							->			Dict:







			'''simple docstring'''




			self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']					)		, [25_00_53, 25_00_01]					)





	def   __lowerCAmelCase (						self    :List[str]					)							->			Any:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= tempfile.mkdtemp()
			SCREAMING_SNAKE_CASE       :     Tuple				= self.tokenizer.fairseq_tokens_to_ids
			self.tokenizer.save_pretrained(lowerCamelCase_					)
			SCREAMING_SNAKE_CASE       :     List[Any]				= MBartaaTokenizer.from_pretrained(lowerCamelCase_					)
			self.assertDictEqual(new_tok.fairseq_tokens_to_ids		, lowerCamelCase_					)





	@require_torch
	def   __lowerCAmelCase (						self    :List[str]					)							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     List[str]				= self.tokenizer(self.src_text		, text_target=self.tgt_text		, padding=lowerCamelCase_		, return_tensors='''pt'''					)
			SCREAMING_SNAKE_CASE       :     Tuple				= shift_tokens_right(batch['''labels''']		, self.tokenizer.pad_token_id					)

			# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
			assert batch.input_ids[1][0] == EN_CODE
			assert batch.input_ids[1][-1] == 2
			assert batch.labels[1][0] == RO_CODE
			assert batch.labels[1][-1] == 2
			assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]





	@require_torch
	def   __lowerCAmelCase (						self    :int					)							->			Optional[Any]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Dict				= self.tokenizer(
			    self.src_text		, text_target=self.tgt_text		, padding=lowerCamelCase_		, truncation=lowerCamelCase_		, max_length=len(self.expected_src_tokens					)		, return_tensors='''pt'''		, )
			SCREAMING_SNAKE_CASE       :     List[str]				= shift_tokens_right(batch['''labels''']		, self.tokenizer.pad_token_id					)

			self.assertIsInstance(lowerCamelCase_		, lowerCamelCase_					)

			self.assertEqual((2, 14)		, batch.input_ids.shape					)
			self.assertEqual((2, 14)		, batch.attention_mask.shape					)
			SCREAMING_SNAKE_CASE       :     int				= batch.input_ids.tolist()[0]
			self.assertListEqual(self.expected_src_tokens		, lowerCamelCase_					)
			self.assertEqual(2		, batch.decoder_input_ids[0, 0]					)  # decoder_start_token_id
			# Test that special tokens are reset
			self.assertEqual(self.tokenizer.prefix_tokens		, [EN_CODE]					)
			self.assertEqual(self.tokenizer.suffix_tokens		, [self.tokenizer.eos_token_id]					)





	def   __lowerCAmelCase (						self    :int					)							->			List[str]:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= self.tokenizer(self.src_text		, padding=lowerCamelCase_		, truncation=lowerCamelCase_		, max_length=3		, return_tensors='''pt'''					)
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= self.tokenizer(
			    text_target=self.tgt_text		, padding=lowerCamelCase_		, truncation=lowerCamelCase_		, max_length=10		, return_tensors='''pt'''					)
			SCREAMING_SNAKE_CASE       :     Optional[int]				= targets['''input_ids''']
			SCREAMING_SNAKE_CASE       :     Any				= shift_tokens_right(lowerCamelCase_		, self.tokenizer.pad_token_id					)

			self.assertEqual(batch.input_ids.shape[1]		, 3					)
			self.assertEqual(batch.decoder_input_ids.shape[1]		, 10					)







	@require_torch
	def   __lowerCAmelCase (						self    :List[Any]					)							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= self.tokenizer._build_translation_inputs(
			    '''A test'''		, return_tensors='''pt'''		, src_lang='''en_XX'''		, tgt_lang='''ar_AR'''					)

			self.assertEqual(
			    nested_simplify(lowerCamelCase_					)		, {
			        # en_XX, A, test, EOS
			        '''input_ids''': [[25_00_04, 62, 30_34, 2]],
			        '''attention_mask''': [[1, 1, 1, 1]],
			        # ar_AR
			        '''forced_bos_token_id''': 25_00_01,
			    }		, )







"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__ :       Tuple						     =			logging.get_logger(__name__)

lowerCamelCase__ :       str						     =			{
    "studio-ousia/luke-base": "https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json",
    "studio-ousia/luke-large": "https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json",
}




class 				lowercase__(				_UpperCAmelCase   ):
	'''simple docstring'''

	UpperCamelCase				=  """luke"""





	def __init__(						self    :Optional[int]		, lowerCamelCase_    :Union[str, Any]=5_02_67		, lowerCamelCase_    :int=50_00_00		, lowerCamelCase_    :Tuple=7_68		, lowerCamelCase_    :List[str]=2_56		, lowerCamelCase_    :Dict=12		, lowerCamelCase_    :Optional[int]=12		, lowerCamelCase_    :Optional[Any]=30_72		, lowerCamelCase_    :List[Any]="gelu"		, lowerCamelCase_    :Any=0.1		, lowerCamelCase_    :Union[str, Any]=0.1		, lowerCamelCase_    :List[str]=5_12		, lowerCamelCase_    :Optional[int]=2		, lowerCamelCase_    :Tuple=0.0_2		, lowerCamelCase_    :Optional[int]=1E-12		, lowerCamelCase_    :List[Any]=True		, lowerCamelCase_    :List[str]=None		, lowerCamelCase_    :str=1		, lowerCamelCase_    :Any=0		, lowerCamelCase_    :str=2		, **lowerCamelCase_    :List[Any]		, )							->			Optional[int]:







			'''simple docstring'''




			super().__init__(pad_token_id=lowerCamelCase_		, bos_token_id=lowerCamelCase_		, eos_token_id=lowerCamelCase_		, **lowerCamelCase_					)

			SCREAMING_SNAKE_CASE       :     Dict				= vocab_size
			SCREAMING_SNAKE_CASE       :     List[str]				= entity_vocab_size
			SCREAMING_SNAKE_CASE       :     str				= hidden_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= entity_emb_size
			SCREAMING_SNAKE_CASE       :     List[Any]				= num_hidden_layers
			SCREAMING_SNAKE_CASE       :     Optional[int]				= num_attention_heads
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= hidden_act
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= intermediate_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= hidden_dropout_prob
			SCREAMING_SNAKE_CASE       :     Dict				= attention_probs_dropout_prob
			SCREAMING_SNAKE_CASE       :     Dict				= max_position_embeddings
			SCREAMING_SNAKE_CASE       :     Tuple				= type_vocab_size
			SCREAMING_SNAKE_CASE       :     str				= initializer_range
			SCREAMING_SNAKE_CASE       :     Dict				= layer_norm_eps
			SCREAMING_SNAKE_CASE       :     Optional[int]				= use_entity_aware_attention
			SCREAMING_SNAKE_CASE       :     List[str]				= classifier_dropout





