
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


__a         =   get_tests_dir('fixtures/test_sentencepiece.model')


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

__a         =   2_5_6_0_4_7
__a         =   2_5_6_1_4_5
@require_sentencepiece
@require_tokenizers
class 					lowercase__(							UpperCAmelCase					,		unittest.TestCase				):



	"""simple docstring"""




	a     :str       	=      NllbTokenizer
	a     :Optional[int]       	=      NllbTokenizerFast
	a     :Tuple       	=      True
	a     :Optional[int]       	=      True
	a     :List[Any]       	=      {}
	def 		_lowercase    (			self    :     List[Any]			)			->	Tuple:
					super().setUp()

					# We have a SentencePiece fixture for testing
					lowercase_	    =   NllbTokenizer(SCREAMING_SNAKE_CASE_			,				keep_accents=SCREAMING_SNAKE_CASE_			)
					tokenizer.save_pretrained(self.tmpdirname			)
	def 		_lowercase    (			self    :     str			)			->	List[Any]:
					lowercase_	    =   NllbTokenizer(SCREAMING_SNAKE_CASE_			,				keep_accents=SCREAMING_SNAKE_CASE_			)

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

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_			)			,				[value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]			,				)

					lowercase_	    =   tokenizer.tokenize('''I was born in 92000, and this is falsé.'''			)
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE_			,				[
					        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(SCREAMING_SNAKE_CASE_			)
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE_			,				[
					        value + tokenizer.fairseq_offset
					        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
					    ]			,				)

					lowercase_	    =   tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_			)
					self.assertListEqual(
					    SCREAMING_SNAKE_CASE_			,				[
					        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 		_lowercase    (			self    :     Optional[int]			)			->	Any:
					lowercase_	    =   (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})'''			):
													lowercase_	    =   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			)
													lowercase_	    =   self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			)

													lowercase_	    =   tempfile.mkdtemp()

													lowercase_	    =   tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_			)
													lowercase_	    =   tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_			)

													# 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(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)

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

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

													shutil.rmtree(SCREAMING_SNAKE_CASE_			)

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

													lowercase_	    =   tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_			,				legacy_format=SCREAMING_SNAKE_CASE_			)
													lowercase_	    =   tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_			)

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

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

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

													shutil.rmtree(SCREAMING_SNAKE_CASE_			)

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

													lowercase_	    =   tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_			,				legacy_format=SCREAMING_SNAKE_CASE_			)
													lowercase_	    =   tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_			)

													# 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(SCREAMING_SNAKE_CASE_			)
													lowercase_	    =   tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE_			)

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

													shutil.rmtree(SCREAMING_SNAKE_CASE_			)
	@require_torch
	def 		_lowercase    (			self    :     Optional[int]			)			->	Optional[int]:
					if not self.test_seqaseq:
									return

					lowercase_	    =   self.get_tokenizers()
					for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''			):
													# Longer text that will definitely require truncation.
													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.''',
													]
													try:
																	lowercase_	    =   tokenizer.prepare_seqaseq_batch(
																	    src_texts=SCREAMING_SNAKE_CASE_			,				tgt_texts=SCREAMING_SNAKE_CASE_			,				max_length=3			,				max_target_length=1_0			,				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]			,				1_0			)
													# max_target_length will default to max_length if not specified
													lowercase_	    =   tokenizer.prepare_seqaseq_batch(
													    SCREAMING_SNAKE_CASE_			,				tgt_texts=SCREAMING_SNAKE_CASE_			,				max_length=3			,				return_tensors='''pt'''			)
													self.assertEqual(batch.input_ids.shape[1]			,				3			)
													self.assertEqual(batch.labels.shape[1]			,				3			)

													lowercase_	    =   tokenizer.prepare_seqaseq_batch(
													    src_texts=SCREAMING_SNAKE_CASE_			,				max_length=3			,				max_target_length=1_0			,				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'''			,				SCREAMING_SNAKE_CASE_			)
	@unittest.skip('''Unfortunately way too slow to build a BPE with SentencePiece.'''			)
	def 		_lowercase    (			self    :     List[Any]			)			->	Dict:
					pass




	def 		_lowercase    (			self    :     Optional[int]			)			->	Optional[int]:
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
													lowercase_	    =   [AddedToken('''<special>'''			,				lstrip=SCREAMING_SNAKE_CASE_			)]

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

													lowercase_	    =   tokenizer_r.encode('''<special>'''			,				add_special_tokens=SCREAMING_SNAKE_CASE_			)[0]

													self.assertTrue(special_token_id in r_output			)

													if self.test_slow_tokenizer:
																	lowercase_	    =   self.rust_tokenizer_class.from_pretrained(
																	    SCREAMING_SNAKE_CASE_			,				additional_special_tokens=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			,				)
																	lowercase_	    =   self.tokenizer_class.from_pretrained(
																	    SCREAMING_SNAKE_CASE_			,				additional_special_tokens=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			)

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

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

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

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



	"""simple docstring"""




	a     :int       	=      'facebook/nllb-200-distilled-600M'
	a     :List[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.',
	]
	a     :Dict       	=      [
	    '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       	=      [
	    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 		_lowercase    (			cls    :     int			)			->	Any:
					lowercase_	    =   NllbTokenizer.from_pretrained(
					    cls.checkpoint_name			,				src_lang='''eng_Latn'''			,				tgt_lang='''ron_Latn'''			)
					lowercase_	    =   1
					return cls
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Any:
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ace_Arab''']			,				2_5_6_0_0_1			)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ace_Latn''']			,				2_5_6_0_0_2			)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''fra_Latn''']			,				2_5_6_0_5_7			)
	def 		_lowercase    (			self    :     Dict			)			->	str:
					lowercase_	    =   self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
					self.assertListEqual(self.expected_src_tokens			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Dict			)			->	List[str]:
					self.assertIn(SCREAMING_SNAKE_CASE_			,				self.tokenizer.all_special_ids			)
					# fmt: off
					lowercase_	    =   [RO_CODE, 4_2_5_4, 9_8_0_6_8, 1_1_2_9_2_3, 3_9_0_7_2, 3_9_0_9, 7_1_3, 1_0_2_7_6_7, 2_6, 1_7_3_1_4, 3_5_6_4_2, 1_4_6_8_3, 3_3_1_1_8, 2_0_2_2, 6_6_9_8_7, 2, 2_5_6_0_4_7]
					# fmt: on

					lowercase_	    =   self.tokenizer.decode(SCREAMING_SNAKE_CASE_			,				skip_special_tokens=SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   self.tokenizer.decode(generated_ids[1:]			,				skip_special_tokens=SCREAMING_SNAKE_CASE_			)
					self.assertEqual(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
					self.assertNotIn(self.tokenizer.eos_token			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Tuple			)			->	Tuple:
					lowercase_	    =   ['''this is gunna be a long sentence ''' * 2_0]
					assert isinstance(src_text[0]			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   1_0
					lowercase_	    =   self.tokenizer(SCREAMING_SNAKE_CASE_			,				max_length=SCREAMING_SNAKE_CASE_			,				truncation=SCREAMING_SNAKE_CASE_			).input_ids[0]
					self.assertEqual(ids[-1]			,				2			)
					self.assertEqual(ids[0]			,				SCREAMING_SNAKE_CASE_			)
					self.assertEqual(len(SCREAMING_SNAKE_CASE_			)			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     List[Any]			)			->	List[str]:
					self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']			)			,				[2_5_6_2_0_3, 3]			)
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Tuple:
					lowercase_	    =   tempfile.mkdtemp()
					lowercase_	    =   self.tokenizer.fairseq_tokens_to_ids
					self.tokenizer.save_pretrained(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   NllbTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_			)
					self.assertDictEqual(new_tok.fairseq_tokens_to_ids			,				SCREAMING_SNAKE_CASE_			)
	@require_torch
	def 		_lowercase    (			self    :     Dict			)			->	Optional[int]:
					lowercase_	    =   self.tokenizer(
					    self.src_text			,				text_target=self.tgt_text			,				padding=SCREAMING_SNAKE_CASE_			,				truncation=SCREAMING_SNAKE_CASE_			,				max_length=len(self.expected_src_tokens			)			,				return_tensors='''pt'''			,				)
					lowercase_	    =   shift_tokens_right(
					    batch['''labels''']			,				self.tokenizer.pad_token_id			,				self.tokenizer.lang_code_to_id['''ron_Latn''']			)

					self.assertIsInstance(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)

					self.assertEqual((2, 1_5)			,				batch.input_ids.shape			)
					self.assertEqual((2, 1_5)			,				batch.attention_mask.shape			)
					lowercase_	    =   batch.input_ids.tolist()[0]
					self.assertListEqual(self.expected_src_tokens			,				SCREAMING_SNAKE_CASE_			)
					self.assertEqual(SCREAMING_SNAKE_CASE_			,				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 		_lowercase    (			self    :     int			)			->	Optional[int]:
					lowercase_	    =   self.tokenizer(self.src_text			,				padding=SCREAMING_SNAKE_CASE_			,				truncation=SCREAMING_SNAKE_CASE_			,				max_length=3			,				return_tensors='''pt'''			)
					lowercase_	    =   self.tokenizer(
					    text_target=self.tgt_text			,				padding=SCREAMING_SNAKE_CASE_			,				truncation=SCREAMING_SNAKE_CASE_			,				max_length=1_0			,				return_tensors='''pt'''			)
					lowercase_	    =   targets['''input_ids''']
					lowercase_	    =   shift_tokens_right(
					    SCREAMING_SNAKE_CASE_			,				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]			,				1_0			)
	@require_torch
	def 		_lowercase    (			self    :     Tuple			)			->	Optional[int]:
					lowercase_	    =   self.tokenizer._build_translation_inputs(
					    '''A test'''			,				return_tensors='''pt'''			,				src_lang='''eng_Latn'''			,				tgt_lang='''fra_Latn'''			)

					self.assertEqual(
					    nested_simplify(SCREAMING_SNAKE_CASE_			)			,				{
					        # A, test, EOS, en_XX
					        '''input_ids''': [[2_5_6_0_4_7, 7_0, 7_3_5_6, 2]],
					        '''attention_mask''': [[1, 1, 1, 1]],
					        # ar_AR
					        '''forced_bos_token_id''': 2_5_6_0_5_7,
					    }			,				)




	@require_torch
	def 		_lowercase    (			self    :     Optional[int]			)			->	Dict:
					lowercase_	    =   True
					lowercase_	    =   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_6_2_9_7, 1_3_4_4_0_8, 2_5_6_5_3, 6_3_7_0, 2_4_8, 2_5_4, 1_0_3_9_2_9, 9_4_9_9_5, 1_0_8, 4_9_4_8_6, 2, 2_5_6_0_4_7]			)

					lowercase_	    =   False
					lowercase_	    =   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			,				[2_5_6_0_4_7, 1_6_2_9_7, 1_3_4_4_0_8, 2_5_6_5_3, 6_3_7_0, 2_4_8, 2_5_4, 1_0_3_9_2_9, 9_4_9_9_5, 1_0_8, 4_9_4_8_6, 2]			)










from __future__ import annotations
def 		a_							( __lowerCAmelCase   , __lowerCAmelCase = None				):
  lowerCAmelCase__										=      word_bank or []
  # create a table
  lowerCAmelCase__										=      len(__lowerCAmelCase				) + 1

  lowerCAmelCase__										=      []
  for _ in range(__lowerCAmelCase				):
    table.append([]				)
  # seed value
  lowerCAmelCase__										=      [[]]  # because empty string has empty combination

  # iterate through the indices
  for i in range(__lowerCAmelCase				):
    # condition
    if table[i] != []:
      for word in word_bank:
        # slice condition
        if target[i : i + len(__lowerCAmelCase				)] == word:
          lowerCAmelCase__										=      [
              [word, *way] for way in table[i]
          ]
          # adds the word to every combination the current position holds
          # now,push that combination to the table[i+len(word)]
          table[i + len(__lowerCAmelCase				)] += new_combinations

    # combinations are in reverse order so reverse for better output
  for combination in table[len(__lowerCAmelCase				)]:
    combination.reverse()

  return table[len(__lowerCAmelCase				)]


if __name__ == "__main__":
      print(all_construct("""jwajalapa""", ["""jwa""", """j""", """w""", """a""", """la""", """lapa"""]))
      print(all_construct("""rajamati""", ["""s""", """raj""", """amat""", """raja""", """ma""", """i""", """t"""]))
      print(
          all_construct(
              """hexagonosaurus""",
              ["""h""", """ex""", """hex""", """ag""", """ago""", """ru""", """auru""", """rus""", """go""", """no""", """o""", """s"""],
          )
      )

