


'''simple docstring'''

import shutil
import tempfile
import unittest

from transformers import (
    SPIECE_UNDERLINE,
    AddedToken,
    BatchEncoding,
    NllbTokenizer,
    NllbTokenizerFast,
    is_torch_available,
)
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCAmelCase				: Tuple							    =				get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
	from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

_UpperCAmelCase				: Dict							    =				2_5_6_0_4_7
_UpperCAmelCase				: List[Any]							    =				2_5_6_1_4_5


@require_sentencepiece
@require_tokenizers
class       a__				( __A							,						unittest.TestCase      ):







				"""simple docstring"""



				__UpperCamelCase    :		List[Any]	=	NllbTokenizer
				__UpperCamelCase    :		Any	=	NllbTokenizerFast
				__UpperCamelCase    :		Dict	=	True
				__UpperCamelCase    :		Optional[int]	=	True
				__UpperCamelCase    :		List[str]	=	{}




				def 					_snake_case  (self		):
										super().setUp()

										# We have a SentencePiece fixture for testing
										__lowerCAmelCase							       =				NllbTokenizer(__lowercase       ,			keep_accents=__lowercase		)
										tokenizer.save_pretrained(self.tmpdirname		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				NllbTokenizer(__lowercase       ,			keep_accents=__lowercase		)

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

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

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

										__lowerCAmelCase							       =				tokenizer.convert_ids_to_tokens(__lowercase		)
										self.assertListEqual(
										    __lowercase       ,			[
										        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>''',
										        '''.''',
										    ]       ,			)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				(self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-nllb''', {})
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
																						__lowerCAmelCase							       =				self.rust_tokenizer_class.from_pretrained(__lowercase       ,			**__lowercase		)
																						__lowerCAmelCase							       =				self.tokenizer_class.from_pretrained(__lowercase       ,			**__lowercase		)

																						__lowerCAmelCase							       =				tempfile.mkdtemp()

																						__lowerCAmelCase							       =				tokenizer_r.save_pretrained(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer_p.save_pretrained(__lowercase		)

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

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

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

																						shutil.rmtree(__lowercase		)

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

																						__lowerCAmelCase							       =				tokenizer_r.save_pretrained(__lowercase       ,			legacy_format=__lowercase		)
																						__lowerCAmelCase							       =				tokenizer_p.save_pretrained(__lowercase		)

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

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

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

																						shutil.rmtree(__lowercase		)

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

																						__lowerCAmelCase							       =				tokenizer_r.save_pretrained(__lowercase       ,			legacy_format=__lowercase		)
																						__lowerCAmelCase							       =				tokenizer_p.save_pretrained(__lowercase		)

																						# 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
																						__lowerCAmelCase							       =				tokenizer_r.from_pretrained(__lowercase		)
																						__lowerCAmelCase							       =				tokenizer_p.from_pretrained(__lowercase		)

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

																						shutil.rmtree(__lowercase		)




				@require_torch
				def 					_snake_case  (self		):
										if not self.test_seqaseq:
																return

										__lowerCAmelCase							       =				self.get_tokenizers()
										for tokenizer in tokenizers:
																with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
																						# Longer text that will definitely require truncation.
																						__lowerCAmelCase							       =				[
																						    ''' 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.''',
																						]
																						__lowerCAmelCase							       =				[
																						    '''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.''',
																						]
																						try:
																												__lowerCAmelCase							       =				tokenizer.prepare_seqaseq_batch(
																												    src_texts=__lowercase       ,			tgt_texts=__lowercase       ,			max_length=3       ,			max_target_length=10       ,			return_tensors='''pt'''       ,			src_lang='''eng_Latn'''       ,			tgt_lang='''ron_Latn'''       ,			)
																						except NotImplementedError:
																												return
																						self.assertEqual(batch.input_ids.shape[1]       ,			3		)
																						self.assertEqual(batch.labels.shape[1]       ,			10		)
																						# max_target_length will default to max_length if not specified
																						__lowerCAmelCase							       =				tokenizer.prepare_seqaseq_batch(
																						    __lowercase       ,			tgt_texts=__lowercase       ,			max_length=3       ,			return_tensors='''pt'''		)
																						self.assertEqual(batch.input_ids.shape[1]       ,			3		)
																						self.assertEqual(batch.labels.shape[1]       ,			3		)

																						__lowerCAmelCase							       =				tokenizer.prepare_seqaseq_batch(
																						    src_texts=__lowercase       ,			max_length=3       ,			max_target_length=10       ,			return_tensors='''pt'''		)
																						self.assertEqual(batch_encoder_only.input_ids.shape[1]       ,			3		)
																						self.assertEqual(batch_encoder_only.attention_mask.shape[1]       ,			3		)
																						self.assertNotIn('''decoder_input_ids'''       ,			__lowercase		)




				@unittest.skip('''Unfortunately way too slow to build a BPE with SentencePiece.'''		)
				def 					_snake_case  (self		):
										pass




				def 					_snake_case  (self		):
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
																						__lowerCAmelCase							       =				[AddedToken('''<special>'''       ,			lstrip=__lowercase		)]

																						__lowerCAmelCase							       =				self.rust_tokenizer_class.from_pretrained(
																						    __lowercase       ,			additional_special_tokens=__lowercase       ,			**__lowercase		)
																						__lowerCAmelCase							       =				tokenizer_r.encode('''Hey this is a <special> token'''		)

																						__lowerCAmelCase							       =				tokenizer_r.encode('''<special>'''       ,			add_special_tokens=__lowercase		)[0]

																						self.assertTrue(special_token_id in r_output		)

																						if self.test_slow_tokenizer:
																												__lowerCAmelCase							       =				self.rust_tokenizer_class.from_pretrained(
																												    __lowercase       ,			additional_special_tokens=__lowercase       ,			**__lowercase       ,			)
																												__lowerCAmelCase							       =				self.tokenizer_class.from_pretrained(
																												    __lowercase       ,			additional_special_tokens=__lowercase       ,			**__lowercase		)

																												__lowerCAmelCase							       =				tokenizer_p.encode('''Hey this is a <special> token'''		)

																												__lowerCAmelCase							       =				tokenizer_cr.encode('''Hey this is a <special> token'''		)

																												self.assertEqual(__lowercase       ,			__lowercase		)
																												self.assertEqual(__lowercase       ,			__lowercase		)
																												self.assertTrue(special_token_id in p_output		)
																												self.assertTrue(special_token_id in cr_output		)


@require_torch
@require_sentencepiece
@require_tokenizers
class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				__UpperCamelCase    :		str	=	'facebook/nllb-200-distilled-600M'
				__UpperCamelCase    :		Dict	=	[
				    ' 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    :		Union[str, Any]	=	[
				    '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    :		Optional[int]	=	[
				    256_047,
				    16_297,
				    134_408,
				    8_165,
				    248_066,
				    14_734,
				    950,
				    1_135,
				    105_721,
				    3_573,
				    83,
				    27_352,
				    108,
				    49_486,
				    2,
				]




				@classmethod
				def 					_snake_case  (cls		):
										__lowerCAmelCase							       =				NllbTokenizer.from_pretrained(
										    cls.checkpoint_name       ,			src_lang='''eng_Latn'''       ,			tgt_lang='''ron_Latn'''		)
										__lowerCAmelCase							       =				1
										return cls




				def 					_snake_case  (self		):
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ace_Arab''']       ,			25_60_01		)
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ace_Latn''']       ,			25_60_02		)
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''fra_Latn''']       ,			25_60_57		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
										self.assertListEqual(self.expected_src_tokens       ,			__lowercase		)




				def 					_snake_case  (self		):
										self.assertIn(__lowercase       ,			self.tokenizer.all_special_ids		)
										# fmt: off
										__lowerCAmelCase							       =				[RO_CODE, 42_54, 9_80_68, 11_29_23, 3_90_72, 39_09, 7_13, 10_27_67, 26, 1_73_14, 3_56_42, 1_46_83, 3_31_18, 20_22, 6_69_87, 2, 25_60_47]
										# fmt: on

										__lowerCAmelCase							       =				self.tokenizer.decode(__lowercase       ,			skip_special_tokens=__lowercase		)
										__lowerCAmelCase							       =				self.tokenizer.decode(generated_ids[1:]       ,			skip_special_tokens=__lowercase		)
										self.assertEqual(__lowercase       ,			__lowercase		)
										self.assertNotIn(self.tokenizer.eos_token       ,			__lowercase		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				['''this is gunna be a long sentence ''' * 20]
										assert isinstance(src_text[0]       ,			__lowercase		)
										__lowerCAmelCase							       =				10
										__lowerCAmelCase							       =				self.tokenizer(__lowercase       ,			max_length=__lowercase       ,			truncation=__lowercase		).input_ids[0]
										self.assertEqual(ids[-1]       ,			2		)
										self.assertEqual(ids[0]       ,			__lowercase		)
										self.assertEqual(len(__lowercase		)       ,			__lowercase		)




				def 					_snake_case  (self		):
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']		)       ,			[25_62_03, 3]		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				tempfile.mkdtemp()
										__lowerCAmelCase							       =				self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__lowercase		)
										__lowerCAmelCase							       =				NllbTokenizer.from_pretrained(__lowercase		)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids       ,			__lowercase		)




				@require_torch
				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.tokenizer(
										    self.src_text       ,			text_target=self.tgt_text       ,			padding=__lowercase       ,			truncation=__lowercase       ,			max_length=len(self.expected_src_tokens		)       ,			return_tensors='''pt'''       ,			)
										__lowerCAmelCase							       =				shift_tokens_right(
										    batch['''labels''']       ,			self.tokenizer.pad_token_id       ,			self.tokenizer.lang_code_to_id['''ron_Latn''']		)

										self.assertIsInstance(__lowercase       ,			__lowercase		)

										self.assertEqual((2, 15)       ,			batch.input_ids.shape		)
										self.assertEqual((2, 15)       ,			batch.attention_mask.shape		)
										__lowerCAmelCase							       =				batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens       ,			__lowercase		)
										self.assertEqual(__lowercase       ,			batch.decoder_input_ids[0, 0]		)  # EOS
										# 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 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.tokenizer(self.src_text       ,			padding=__lowercase       ,			truncation=__lowercase       ,			max_length=3       ,			return_tensors='''pt'''		)
										__lowerCAmelCase							       =				self.tokenizer(
										    text_target=self.tgt_text       ,			padding=__lowercase       ,			truncation=__lowercase       ,			max_length=10       ,			return_tensors='''pt'''		)
										__lowerCAmelCase							       =				targets['''input_ids''']
										__lowerCAmelCase							       =				shift_tokens_right(
										    __lowercase       ,			self.tokenizer.pad_token_id       ,			decoder_start_token_id=self.tokenizer.lang_code_to_id[self.tokenizer.tgt_lang]       ,			)

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




				@require_torch
				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				self.tokenizer._build_translation_inputs(
										    '''A test'''       ,			return_tensors='''pt'''       ,			src_lang='''eng_Latn'''       ,			tgt_lang='''fra_Latn'''		)

										self.assertEqual(
										    nested_simplify(__lowercase		)       ,			{
										        # A, test, EOS, en_XX
										        '''input_ids''': [[25_60_47, 70, 73_56, 2]],
										        '''attention_mask''': [[1, 1, 1, 1]],
										        # ar_AR
										        '''forced_bos_token_id''': 25_60_57,
										    }       ,			)




				@require_torch
				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				True
										__lowerCAmelCase							       =				self.tokenizer(
										    '''UN Chief says there is no military solution in Syria'''       ,			src_lang='''eng_Latn'''       ,			tgt_lang='''fra_Latn'''		)
										self.assertEqual(
										    inputs.input_ids       ,			[1_62_97, 13_44_08, 2_56_53, 63_70, 2_48, 2_54, 10_39_29, 9_49_95, 1_08, 4_94_86, 2, 25_60_47]		)

										__lowerCAmelCase							       =				False
										__lowerCAmelCase							       =				self.tokenizer(
										    '''UN Chief says there is no military solution in Syria'''       ,			src_lang='''eng_Latn'''       ,			tgt_lang='''fra_Latn'''		)
										self.assertEqual(
										    inputs.input_ids       ,			[25_60_47, 1_62_97, 13_44_08, 2_56_53, 63_70, 2_48, 2_54, 10_39_29, 9_49_95, 1_08, 4_94_86, 2]		)





'''simple docstring'''

from PIL import Image

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):

						def brightness(lowerCamelCase) -> float:
												return 1_2_8 + level + (c - 1_2_8)

						if not -2_55.0 <= level <= 2_55.0:
												raise ValueError('''level must be between -255.0 (black) and 255.0 (white)''')
						return img.point(lowerCamelCase)


if __name__ == "__main__":
	# Load image
	with Image.open("""image_data/lena.jpg""") as img:
		# Change brightness to 100
		_UpperCAmelCase				: str							    =				change_brightness(img, 1_0_0)
		brigt_img.save("""image_data/lena_brightness.png""", format="""png""")

