
"""simple docstring"""





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


_a														=		get_tests_dir("""fixtures/test_sentencepiece.model""")

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

_a														=		25_0004
_a														=		25_0020






@require_sentencepiece
@require_tokenizers
class    _UpperCAmelCase(   lowerCamelCase				,					unittest.TestCase     ):
		lowercase__      =				MBartaaTokenizer
		lowercase__      =				MBartaaTokenizerFast
		lowercase__      =				True
		lowercase__      =				True



		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							super().setUp()

							# We have a SentencePiece fixture for testing
							_UpperCamelCase										=  MBartaaTokenizer(__a    ,		src_lang='''en_XX'''    ,		tgt_lang='''ro_RO'''    ,		keep_accents=__a)
							tokenizer.save_pretrained(self.tmpdirname)



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






							'''simple docstring'''
							_UpperCamelCase										=  '''<s>'''
							_UpperCamelCase										=  0

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



		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							_UpperCamelCase										=  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(__a)    ,		10_54)



		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							self.assertEqual(self.get_tokenizer().vocab_size    ,		10_54)



		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  MBartaaTokenizer(__a    ,		src_lang='''en_XX'''    ,		tgt_lang='''ro_RO'''    ,		keep_accents=__a)

							_UpperCamelCase										=  tokenizer.tokenize('''This is a test''')
							self.assertListEqual(__a    ,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

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

							_UpperCamelCase										=  tokenizer.tokenize('''I was born in 92000, and this is falsé.''')
							self.assertListEqual(
							    __a    ,		[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''', '''.''']    ,		)
							_UpperCamelCase										=  tokenizer.convert_tokens_to_ids(__a)
							self.assertListEqual(
							    __a    ,		[
							        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]
							    ]    ,		)

							_UpperCamelCase										=  tokenizer.convert_ids_to_tokens(__a)
							self.assertListEqual(
							    __a    ,		[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 						UpperCAmelCase							( self)	->	List[Any]:






							'''simple docstring'''
							_UpperCamelCase										=  {'''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=__a    ,		model_name='''facebook/mbart-large-50'''    ,		revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''    ,		)




		def 						UpperCAmelCase							( self)	->	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

							_UpperCamelCase										=  (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})'''):
																	_UpperCamelCase										=  self.rust_tokenizer_class.from_pretrained(__a    ,		**__a)
																	_UpperCamelCase										=  self.tokenizer_class.from_pretrained(__a    ,		**__a)

																	_UpperCamelCase										=  tempfile.mkdtemp()

																	_UpperCamelCase										=  tokenizer_r.save_pretrained(__a)
																	_UpperCamelCase										=  tokenizer_p.save_pretrained(__a)

																	# 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))
																	_UpperCamelCase										=  tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f)
																	self.assertSequenceEqual(__a    ,		__a)

																	# Checks everything loads correctly in the same way
																	_UpperCamelCase										=  tokenizer_r.from_pretrained(__a)
																	_UpperCamelCase										=  tokenizer_p.from_pretrained(__a)

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

																	shutil.rmtree(__a)

																	# Save tokenizer rust, legacy_format=True
																	_UpperCamelCase										=  tempfile.mkdtemp()

																	_UpperCamelCase										=  tokenizer_r.save_pretrained(__a    ,		legacy_format=__a)
																	_UpperCamelCase										=  tokenizer_p.save_pretrained(__a)

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

																	# Checks everything loads correctly in the same way
																	_UpperCamelCase										=  tokenizer_r.from_pretrained(__a)
																	_UpperCamelCase										=  tokenizer_p.from_pretrained(__a)

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

																	shutil.rmtree(__a)

																	# Save tokenizer rust, legacy_format=False
																	_UpperCamelCase										=  tempfile.mkdtemp()

																	_UpperCamelCase										=  tokenizer_r.save_pretrained(__a    ,		legacy_format=__a)
																	_UpperCamelCase										=  tokenizer_p.save_pretrained(__a)

																	# 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
																	_UpperCamelCase										=  tokenizer_r.from_pretrained(__a)
																	_UpperCamelCase										=  tokenizer_p.from_pretrained(__a)

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

																	shutil.rmtree(__a)






@require_torch
@require_sentencepiece
@require_tokenizers
class    _UpperCAmelCase(   unittest.TestCase     ):
		lowercase__      =				'facebook/mbart-large-50-one-to-many-mmt'
		lowercase__      =				[
		    ' 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.',
		]
		lowercase__      =				[
		    '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.',
		]
		lowercase__      =				[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 						UpperCAmelCase							( cls)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  MBartaaTokenizer.from_pretrained(
							    cls.checkpoint_name    ,		src_lang='''en_XX'''    ,		tgt_lang='''ro_RO''')
							_UpperCamelCase										=  1
							return cls



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






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
							self.assertListEqual(self.expected_src_tokens    ,		__a)



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






							'''simple docstring'''
							self.assertIn(__a    ,		self.tokenizer.all_special_ids)
							_UpperCamelCase										=  [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
							_UpperCamelCase										=  self.tokenizer.decode(__a    ,		skip_special_tokens=__a)
							_UpperCamelCase										=  self.tokenizer.decode(generated_ids[1:]    ,		skip_special_tokens=__a)
							self.assertEqual(__a    ,		__a)
							self.assertNotIn(self.tokenizer.eos_token    ,		__a)



		def 						UpperCAmelCase							( self)	->	Any:






							'''simple docstring'''
							_UpperCamelCase										=  ['''this is gunna be a long sentence ''' * 20]
							assert isinstance(src_text[0]    ,		__a)
							_UpperCamelCase										=  10
							_UpperCamelCase										=  self.tokenizer(__a    ,		max_length=__a    ,		truncation=__a).input_ids[0]
							self.assertEqual(ids[0]    ,		__a)
							self.assertEqual(ids[-1]    ,		2)
							self.assertEqual(len(__a)    ,		__a)



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






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



		def 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							_UpperCamelCase										=  tempfile.mkdtemp()
							_UpperCamelCase										=  self.tokenizer.fairseq_tokens_to_ids
							self.tokenizer.save_pretrained(__a)
							_UpperCamelCase										=  MBartaaTokenizer.from_pretrained(__a)
							self.assertDictEqual(new_tok.fairseq_tokens_to_ids    ,		__a)



		@require_torch
		def 						UpperCAmelCase							( self)	->	Tuple:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer(self.src_text    ,		text_target=self.tgt_text    ,		padding=__a    ,		return_tensors='''pt''')
							_UpperCamelCase										=  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 						UpperCAmelCase							( self)	->	Optional[int]:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer(
							    self.src_text    ,		text_target=self.tgt_text    ,		padding=__a    ,		truncation=__a    ,		max_length=len(self.expected_src_tokens)    ,		return_tensors='''pt'''    ,		)
							_UpperCamelCase										=  shift_tokens_right(batch['''labels''']    ,		self.tokenizer.pad_token_id)

							self.assertIsInstance(__a    ,		__a)

							self.assertEqual((2, 14)    ,		batch.input_ids.shape)
							self.assertEqual((2, 14)    ,		batch.attention_mask.shape)
							_UpperCamelCase										=  batch.input_ids.tolist()[0]
							self.assertListEqual(self.expected_src_tokens    ,		__a)
							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 						UpperCAmelCase							( self)	->	List[str]:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer(self.src_text    ,		padding=__a    ,		truncation=__a    ,		max_length=3    ,		return_tensors='''pt''')
							_UpperCamelCase										=  self.tokenizer(
							    text_target=self.tgt_text    ,		padding=__a    ,		truncation=__a    ,		max_length=10    ,		return_tensors='''pt''')
							_UpperCamelCase										=  targets['''input_ids''']
							_UpperCamelCase										=  shift_tokens_right(__a    ,		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 						UpperCAmelCase							( self)	->	Dict:






							'''simple docstring'''
							_UpperCamelCase										=  self.tokenizer._build_translation_inputs(
							    '''A test'''    ,		return_tensors='''pt'''    ,		src_lang='''en_XX'''    ,		tgt_lang='''ar_AR''')

							self.assertEqual(
							    nested_simplify(__a)    ,		{
							        # 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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a														=		logging.get_logger(__name__)

_a														=		{
    """facebook/xlm-roberta-xl""": """https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json""",
    """facebook/xlm-roberta-xxl""": """https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json""",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'xlm-roberta-xl'



		def __init__( self    ,		__a=25_08_80    ,		__a=25_60    ,		__a=36    ,		__a=32    ,		__a=1_02_40    ,		__a="gelu"    ,		__a=0.1    ,		__a=0.1    ,		__a=5_14    ,		__a=1    ,		__a=0.02    ,		__a=1e-05    ,		__a=1    ,		__a=0    ,		__a=2    ,		__a="absolute"    ,		__a=True    ,		__a=None    ,		**__a    ,		)	->	Tuple:






							'''simple docstring'''
							super().__init__(pad_token_id=__a    ,		bos_token_id=__a    ,		eos_token_id=__a    ,		**__a)
							_UpperCamelCase										=  vocab_size
							_UpperCamelCase										=  hidden_size
							_UpperCamelCase										=  num_hidden_layers
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  hidden_act
							_UpperCamelCase										=  intermediate_size
							_UpperCamelCase										=  hidden_dropout_prob
							_UpperCamelCase										=  attention_probs_dropout_prob
							_UpperCamelCase										=  max_position_embeddings
							_UpperCamelCase										=  type_vocab_size
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  layer_norm_eps
							_UpperCamelCase										=  position_embedding_type
							_UpperCamelCase										=  use_cache
							_UpperCamelCase										=  classifier_dropout






class    _UpperCAmelCase(   lowerCamelCase     ):



		@property
		def 						UpperCAmelCase							( self)	->	Mapping[str, Mapping[int, str]]:






							'''simple docstring'''
							if self.task == "multiple-choice":
												_UpperCamelCase										=  {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
												_UpperCamelCase										=  {0: '''batch''', 1: '''sequence'''}
							return OrderedDict(
							    [
							        ('''input_ids''', dynamic_axis),
							        ('''attention_mask''', dynamic_axis),
							    ])






