
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, 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


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


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

SCREAMING_SNAKE_CASE__							=				25_0004
SCREAMING_SNAKE_CASE__							=				25_0020
@require_sentencepiece
@require_tokenizers
class 	A__   (						_a    ,						unittest.TestCase				):
							lowerCAmelCase__		:						Optional[Any]    			=							MBartTokenizer
							lowerCAmelCase__		:						Dict    			=							MBartTokenizerFast
							lowerCAmelCase__		:						Optional[Any]    			=							True
							lowerCAmelCase__		:						str    			=							True





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



											"""simple docstring"""


											super().setUp()

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





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



											"""simple docstring"""


											__lowercase								=					MBartTokenizer(__UpperCAmelCase     , keep_accents=__UpperCAmelCase				)

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

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

											__lowercase								=					tokenizer.tokenize('I was born in 92000, and this is falsé.'				)
											self.assertListEqual(
											    __UpperCAmelCase     , [
											        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',
											        '.',
											    ]     , )
											__lowercase								=					tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)
											self.assertListEqual(
											    __UpperCAmelCase     , [
											        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]
											        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
											    ]     , )

											__lowercase								=					tokenizer.convert_ids_to_tokens(__UpperCAmelCase				)
											self.assertListEqual(
											    __UpperCAmelCase     , [
											        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 			a__ ( self  :   Any				)						->		List[Any]:



											"""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

											__lowercase								=					(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
																			__lowercase								=					self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase     , **__UpperCAmelCase				)
																			__lowercase								=					self.tokenizer_class.from_pretrained(__UpperCAmelCase     , **__UpperCAmelCase				)

																			__lowercase								=					tempfile.mkdtemp()

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

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

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

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

																			shutil.rmtree(__UpperCAmelCase				)

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

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

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

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

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

																			shutil.rmtree(__UpperCAmelCase				)

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

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

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

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

																			shutil.rmtree(__UpperCAmelCase				)






@require_torch
@require_sentencepiece
@require_tokenizers
class 	A__   (						unittest.TestCase				):
							lowerCAmelCase__		:						List[str]    			=							"""facebook/mbart-large-en-ro"""
							lowerCAmelCase__		:						Optional[Any]    			=							[
							    """ 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__		:						str    			=							[
							    """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.""",
							]
							lowerCAmelCase__		:						str    			=							[8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2, EN_CODE]





							@classmethod
							def 			a__ ( cls  :   str				)						->		Tuple:



											"""simple docstring"""


											__lowercase								=					MBartTokenizer.from_pretrained(
											    cls.checkpoint_name     , src_lang='en_XX'     , tgt_lang='ro_RO'				)
											__lowercase								=					1
											return cls





							def 			a__ ( self  :   Optional[Any]				)						->		Optional[int]:



											"""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				)





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



											"""simple docstring"""


											__lowercase								=					self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
											self.assertListEqual(self.expected_src_tokens     , __UpperCAmelCase				)





							def 			a__ ( self  :   int				)						->		str:



											"""simple docstring"""


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





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



											"""simple docstring"""


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





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



											"""simple docstring"""


											self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']				)     , [25_00_26, 25_00_01]				)





							def 			a__ ( self  :   str				)						->		str:



											"""simple docstring"""


											__lowercase								=					tempfile.mkdtemp()
											__lowercase								=					self.tokenizer.fairseq_tokens_to_ids
											self.tokenizer.save_pretrained(__UpperCAmelCase				)
											__lowercase								=					MBartTokenizer.from_pretrained(__UpperCAmelCase				)
											self.assertDictEqual(new_tok.fairseq_tokens_to_ids     , __UpperCAmelCase				)





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



											"""simple docstring"""


											__lowercase								=					self.tokenizer(self.src_text     , text_target=self.tgt_text     , padding=__UpperCAmelCase     , return_tensors='pt'				)
											__lowercase								=					shift_tokens_right(batch['labels']     , self.tokenizer.pad_token_id				)

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





							@require_torch
							def 			a__ ( self  :   List[Any]				)						->		Tuple:



											"""simple docstring"""


											__lowercase								=					self.tokenizer(
											    self.src_text     , text_target=self.tgt_text     , padding=__UpperCAmelCase     , truncation=__UpperCAmelCase     , max_length=len(self.expected_src_tokens				)     , return_tensors='pt'     , )

											__lowercase								=					shift_tokens_right(batch['labels']     , self.tokenizer.pad_token_id				)

											self.assertIsInstance(__UpperCAmelCase     , __UpperCAmelCase				)

											self.assertEqual((2, 14)     , batch.input_ids.shape				)
											self.assertEqual((2, 14)     , batch.attention_mask.shape				)
											__lowercase								=					batch.input_ids.tolist()[0]
											self.assertListEqual(self.expected_src_tokens     , __UpperCAmelCase				)
											self.assertEqual(2     , batch.decoder_input_ids[0, -1]				)  # EOS
											# Test that special tokens are reset
											self.assertEqual(self.tokenizer.prefix_tokens     , []				)
											self.assertEqual(self.tokenizer.suffix_tokens     , [self.tokenizer.eos_token_id, EN_CODE]				)





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



											"""simple docstring"""


											__lowercase								=					self.tokenizer(self.src_text     , padding=__UpperCAmelCase     , truncation=__UpperCAmelCase     , max_length=3     , return_tensors='pt'				)
											__lowercase								=					self.tokenizer(
											    text_target=self.tgt_text     , padding=__UpperCAmelCase     , truncation=__UpperCAmelCase     , max_length=10     , return_tensors='pt'				)
											__lowercase								=					targets["input_ids"]
											__lowercase								=					shift_tokens_right(__UpperCAmelCase     , 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 			a__ ( self  :   Any				)						->		Union[str, Any]:



											"""simple docstring"""


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

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









"""simple docstring"""







import unittest

from knapsack import knapsack as k






class 						_A  (  unittest.TestCase  ):







    """simple docstring"""




    def 	__snake_case							(					self				:    List[Any]):
      a						:		str      							=			0
      a						:		Optional[int]      							=			[0]
      a						:		Union[str, Any]      							=			[0]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)

      a						:		List[str]      							=			[60]
      a						:		str      							=			[10]
      a						:		Optional[int]      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)






    def 	__snake_case							(					self				:    Optional[int]):
      a						:		Any      							=			3
      a						:		str      							=			[1, 2, 3]
      a						:		Tuple      							=			[3, 2, 1]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 5)






    def 	__snake_case							(					self				:    Tuple):
      a						:		int      							=			50
      a						:		List[Any]      							=			[60, 100, 120]
      a						:		Optional[int]      							=			[10, 20, 30]
      a						:		str      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 220)


if __name__ == "__main__":
 unittest.main()






