




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

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

a_				:    int										=     25_00_04
a_				:    Optional[int]										=     25_00_20

@require_sentencepiece
@require_tokenizers
class __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						str     		= MBartaaTokenizer
					__a						:						Optional[Any]     		= MBartaaTokenizerFast
					__a						:						str     		= True
					__a						:						Any     		= True
					def     snake_case_				(    self     ):
								super().setUp()

								# We have a SentencePiece fixture for testing
								__lowerCamelCase					:	Tuple	       =				MBartaaTokenizer(__lowerCamelCase						,	src_lang='en_XX'						,	tgt_lang='ro_RO'						,	keep_accents=__lowerCamelCase     )
								tokenizer.save_pretrained(self.tmpdirname     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[int]	       =				"<s>"
								__lowerCamelCase					:	Any	       =				0

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCamelCase     )						,	__lowerCamelCase     )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCamelCase     )						,	__lowerCamelCase     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				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     )						,	1054     )
					def     snake_case_				(    self     ):
								self.assertEqual(self.get_tokenizer().vocab_size						,	1054     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				MBartaaTokenizer(__lowerCamelCase						,	src_lang='en_XX'						,	tgt_lang='ro_RO'						,	keep_accents=__lowerCamelCase     )

								__lowerCamelCase					:	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 [285, 46, 10, 170, 382]]						,	)

								__lowerCamelCase					:	Dict	       =				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', '.']						,	)
								__lowerCamelCase					:	Union[str, 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, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
								    ]						,	)

								__lowerCamelCase					:	Tuple	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				{"input_ids": [[250004, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [250004, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 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], [250004, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 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     snake_case_				(    self     ):



								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

								__lowerCamelCase					:	Dict	       =				(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})'''     ):
														__lowerCamelCase					:	int	       =				self.rust_tokenizer_class.from_pretrained(__lowerCamelCase						,	**__lowerCamelCase     )
														__lowerCamelCase					:	List[str]	       =				self.tokenizer_class.from_pretrained(__lowerCamelCase						,	**__lowerCamelCase     )

														__lowerCamelCase					:	List[Any]	       =				tempfile.mkdtemp()

														__lowerCamelCase					:	List[str]	       =				tokenizer_r.save_pretrained(__lowerCamelCase     )
														__lowerCamelCase					:	Optional[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     )     )
														__lowerCamelCase					:	List[Any]	       =				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
														__lowerCamelCase					:	List[str]	       =				tokenizer_r.from_pretrained(__lowerCamelCase     )
														__lowerCamelCase					:	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
														__lowerCamelCase					:	List[str]	       =				tempfile.mkdtemp()

														__lowerCamelCase					:	Tuple	       =				tokenizer_r.save_pretrained(__lowerCamelCase						,	legacy_format=__lowerCamelCase     )
														__lowerCamelCase					:	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
														__lowerCamelCase					:	Union[str, Any]	       =				tokenizer_r.from_pretrained(__lowerCamelCase     )
														__lowerCamelCase					:	str	       =				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
														__lowerCamelCase					:	Optional[Any]	       =				tempfile.mkdtemp()

														__lowerCamelCase					:	Union[str, Any]	       =				tokenizer_r.save_pretrained(__lowerCamelCase						,	legacy_format=__lowerCamelCase     )
														__lowerCamelCase					:	str	       =				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
														__lowerCamelCase					:	Optional[int]	       =				tokenizer_r.from_pretrained(__lowerCamelCase     )
														__lowerCamelCase					:	Optional[int]	       =				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'''


					__a						:						List[str]     		= 'facebook/mbart-large-50-one-to-many-mmt'
					__a						:						Tuple     		= [
					    ' 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.',
					]
					__a						:						Tuple     		= [
					    '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.',
					]
					__a						:						Tuple     		= [EN_CODE, 8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2]
					@classmethod
					def     snake_case_				(    cls     ):
								__lowerCamelCase					:	MBartaaTokenizer	       =				MBartaaTokenizer.from_pretrained(
								    cls.checkpoint_name						,	src_lang='en_XX'						,	tgt_lang='ro_RO'     )
								__lowerCamelCase					:	Optional[int]	       =				1
								return cls
					def     snake_case_				(    self     ):
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']						,	250001     )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']						,	250004     )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']						,	250020     )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']						,	250038     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens						,	__lowerCamelCase     )
					def     snake_case_				(    self     ):
								self.assertIn(__lowerCamelCase						,	self.tokenizer.all_special_ids     )
								__lowerCamelCase					:	List[Any]	       =				[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
								__lowerCamelCase					:	List[str]	       =				self.tokenizer.decode(__lowerCamelCase						,	skip_special_tokens=__lowerCamelCase     )
								__lowerCamelCase					:	List[Any]	       =				self.tokenizer.decode(generated_ids[1:]						,	skip_special_tokens=__lowerCamelCase     )
								self.assertEqual(__lowerCamelCase						,	__lowerCamelCase     )
								self.assertNotIn(self.tokenizer.eos_token						,	__lowerCamelCase     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				["this is gunna be a long sentence " * 20]
								assert isinstance(src_text[0]						,	__lowerCamelCase     )
								__lowerCamelCase					:	Tuple	       =				10
								__lowerCamelCase					:	List[str]	       =				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     snake_case_				(    self     ):
								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']     )						,	[250053, 250001]     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				tempfile.mkdtemp()
								__lowerCamelCase					:	List[str]	       =				self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(__lowerCamelCase     )
								__lowerCamelCase					:	Optional[int]	       =				MBartaaTokenizer.from_pretrained(__lowerCamelCase     )
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids						,	__lowerCamelCase     )
					@require_torch
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				self.tokenizer(self.src_text						,	text_target=self.tgt_text						,	padding=__lowerCamelCase						,	return_tensors='pt'     )
								__lowerCamelCase					:	List[Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				self.tokenizer(
								    self.src_text						,	text_target=self.tgt_text						,	padding=__lowerCamelCase						,	truncation=__lowerCamelCase						,	max_length=len(self.expected_src_tokens     )						,	return_tensors='pt'						,	)
								__lowerCamelCase					:	Tuple	       =				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     )
								__lowerCamelCase					:	str	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				self.tokenizer(self.src_text						,	padding=__lowerCamelCase						,	truncation=__lowerCamelCase						,	max_length=3						,	return_tensors='pt'     )
								__lowerCamelCase					:	str	       =				self.tokenizer(
								    text_target=self.tgt_text						,	padding=__lowerCamelCase						,	truncation=__lowerCamelCase						,	max_length=10						,	return_tensors='pt'     )
								__lowerCamelCase					:	Any	       =				targets["input_ids"]
								__lowerCamelCase					:	Union[str, 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     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				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': [[250004, 62, 3034, 2]],
								        'attention_mask': [[1, 1, 1, 1]],
								        # ar_AR
								        'forced_bos_token_id': 250001,
								    }						,	)









"""simple docstring"""
from cva import destroyAllWindows, imread, imshow, waitKey





def 						UpperCAmelCase				(			A__:    Tuple     )  ->     Union[str, Any]:
			# getting number of pixels in the image
			__lowerCamelCase       ,      __lowerCamelCase					:	Optional[Any]	       =				img.shape[0], img.shape[1]

			# converting each pixel's color to its negative
			for i in range(A__     ):
						for j in range(A__     ):
									__lowerCamelCase					:	Optional[Any]	       =				[255, 255, 255] - img[i][j]

			return img


if __name__ == "__main__":
					# read original image
					a_				:    Dict										=     imread('''image_data/lena.jpg''', 1)

					# convert to its negative
					a_				:    str										=     convert_to_negative(img)

					# show result image
					imshow('''negative of original image''', img)
					waitKey(0)
					destroyAllWindows()



