




'''simple docstring'''


class     A					:







							def __init__(						self :						Dict							,    lowerCAmelCase_ :						int							,    lowerCAmelCase_ :						Any=None							,    lowerCAmelCase_ :						Dict=None      )    ->							Union[str, Any]:


														"""simple docstring"""


														_a			  =       data
														_a			  =       previous
														_a			  =       next_node







							def __str__(						self :						str      )    ->							str:


														"""simple docstring"""


														return F'{self.data}'







							def      __lowerCAmelCase    (						self :						Dict      )    ->							int:


														"""simple docstring"""


														return self.data







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


														"""simple docstring"""


														return self.next







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


														"""simple docstring"""


														return self.previous



class     A					:







							def __init__(						self :						Optional[int]							,    lowerCAmelCase_ :						Optional[Any]      )    ->							Optional[Any]:


														"""simple docstring"""


														_a			  =       head







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


														"""simple docstring"""


														return self







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


														"""simple docstring"""


														if not self.current:
																					raise StopIteration
														else:
																					_a			  =       self.current.get_data()
																					_a			  =       self.current.get_next()
																					return value



class     A					:







							def __init__(						self :						List[str]      )    ->							List[str]:


														"""simple docstring"""


														_a			  =       None  # First node in list
														_a			  =       None  # Last node in list







							def __str__(						self :						Optional[Any]      )    ->							List[Any]:


														"""simple docstring"""


														_a			  =       self.head
														_a			  =       []
														while current is not None:
																					nodes.append(current.get_data()      )
																					_a			  =       current.get_next()
														return " ".join(str(lowerCAmelCase_      ) for node in nodes      )







							def __contains__(						self :						Dict							,    lowerCAmelCase_ :						int      )    ->							Dict:


														"""simple docstring"""


														_a			  =       self.head
														while current:
																					if current.get_data() == value:
																												return True
																					_a			  =       current.get_next()
														return False







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


														"""simple docstring"""


														return LinkedListIterator(self.head      )







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


														"""simple docstring"""


														if self.head:
																					return self.head.get_data()
														return None







							def      __lowerCAmelCase    (						self :						Tuple      )    ->							List[Any]:


														"""simple docstring"""


														if self.tail:
																					return self.tail.get_data()
														return None







							def      __lowerCAmelCase    (						self :						Any							,    lowerCAmelCase_ :						Node      )    ->							None:


														"""simple docstring"""


														if self.head is None:
																					_a			  =       node
																					_a			  =       node
														else:
																					self.insert_before_node(self.head							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						str							,    lowerCAmelCase_ :						Node      )    ->							None:


														"""simple docstring"""


														if self.head is None:
																					self.set_head(lowerCAmelCase_      )
														else:
																					self.insert_after_node(self.tail							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						List[str]							,    lowerCAmelCase_ :						int      )    ->							None:


														"""simple docstring"""


														_a			  =       Node(lowerCAmelCase_      )
														if self.head is None:
																					self.set_head(lowerCAmelCase_      )
														else:
																					self.set_tail(lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						Optional[Any]							,    lowerCAmelCase_ :						Node							,    lowerCAmelCase_ :						Node      )    ->							None:


														"""simple docstring"""


														_a			  =       node
														_a			  =       node.previous

														if node.get_previous() is None:
																					_a			  =       node_to_insert
														else:
																					_a			  =       node_to_insert

														_a			  =       node_to_insert







							def      __lowerCAmelCase    (						self :						Union[str, Any]							,    lowerCAmelCase_ :						Node							,    lowerCAmelCase_ :						Node      )    ->							None:


														"""simple docstring"""


														_a			  =       node
														_a			  =       node.next

														if node.get_next() is None:
																					_a			  =       node_to_insert
														else:
																					_a			  =       node_to_insert

														_a			  =       node_to_insert







							def      __lowerCAmelCase    (						self :						List[str]							,    lowerCAmelCase_ :						int							,    lowerCAmelCase_ :						int      )    ->							None:


														"""simple docstring"""


														_a			  =       1
														_a			  =       Node(lowerCAmelCase_      )
														_a			  =       self.head
														while node:
																					if current_position == position:
																												self.insert_before_node(lowerCAmelCase_							,    lowerCAmelCase_      )
																												return
																					current_position += 1
																					_a			  =       node.next
														self.insert_after_node(self.tail							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						int							,    lowerCAmelCase_ :						int      )    ->							Node:


														"""simple docstring"""


														_a			  =       self.head
														while node:
																					if node.get_data() == item:
																												return node
																					_a			  =       node.get_next()
														raise Exception('''Node not found'''      )







							def      __lowerCAmelCase    (						self :						List[str]							,    lowerCAmelCase_ :						List[Any]      )    ->							List[str]:


														"""simple docstring"""


														if (node := self.get_node(lowerCAmelCase_      )) is not None:
																					if node == self.head:
																												_a			  =       self.head.get_next()

																					if node == self.tail:
																												_a			  =       self.tail.get_previous()

																					self.remove_node_pointers(lowerCAmelCase_      )







							@staticmethod
							def      __lowerCAmelCase    (						lowerCAmelCase_ :						Node      )    ->							None:


														"""simple docstring"""


														if node.get_next():
																					_a			  =       node.previous

														if node.get_previous():
																					_a			  =       node.next

														_a			  =       None
														_a			  =       None







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


														"""simple docstring"""


														return self.head is None



def 	snake_case_					():





							'''simple docstring'''




if __name__ == "__main__":
				import doctest

				doctest.testmod()







'''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


_snake_case   :   str     							=	get_tests_dir('fixtures/test_sentencepiece.model')


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

_snake_case   :   Union[str, Any]     							=	256047
_snake_case   :   Tuple     							=	256145

@require_sentencepiece
@require_tokenizers
class     A					(	_a  ,unittest.TestCase					):
							lowercase_           =       NllbTokenizer
							lowercase_           =       NllbTokenizerFast
							lowercase_           =       True
							lowercase_           =       True
							lowercase_           =       {}







							def      __lowerCAmelCase    (						self :						List[Any]      )    ->							int:


														"""simple docstring"""


														super().setUp()

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







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


														"""simple docstring"""


														_a			  =       NllbTokenizer(lowerCAmelCase_							,    keep_accents=lowerCAmelCase_      )

														_a			  =       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 [2_85, 46, 10, 1_70, 3_82]]							,    )

														_a			  =       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''',
														        '''.''',
														    ]							,    )
														_a			  =       tokenizer.convert_tokens_to_ids(lowerCAmelCase_      )
														self.assertListEqual(
														    lowerCAmelCase_							,    [
														        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]
														    ]							,    )

														_a			  =       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>''',
														        '''.''',
														    ]							,    )







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


														"""simple docstring"""


														_a			  =       (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})'      ):
																												_a			  =       self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_							,    **lowerCAmelCase_      )
																												_a			  =       self.tokenizer_class.from_pretrained(lowerCAmelCase_							,    **lowerCAmelCase_      )

																												_a			  =       tempfile.mkdtemp()

																												_a			  =       tokenizer_r.save_pretrained(lowerCAmelCase_      )
																												_a			  =       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      )      )
																												_a			  =       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
																												_a			  =       tokenizer_r.from_pretrained(lowerCAmelCase_      )
																												_a			  =       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=True
																												_a			  =       tempfile.mkdtemp()

																												_a			  =       tokenizer_r.save_pretrained(lowerCAmelCase_							,    legacy_format=lowerCAmelCase_      )
																												_a			  =       tokenizer_p.save_pretrained(lowerCAmelCase_      )

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

																												# Checks everything loads correctly in the same way
																												_a			  =       tokenizer_r.from_pretrained(lowerCAmelCase_      )
																												_a			  =       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
																												_a			  =       tempfile.mkdtemp()

																												_a			  =       tokenizer_r.save_pretrained(lowerCAmelCase_							,    legacy_format=lowerCAmelCase_      )
																												_a			  =       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
																												_a			  =       tokenizer_r.from_pretrained(lowerCAmelCase_      )
																												_a			  =       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
							def      __lowerCAmelCase    (						self :						Union[str, Any]      )    ->							Dict:


														"""simple docstring"""


														if not self.test_seqaseq:
																					return

														_a			  =       self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(F'{tokenizer.__class__.__name__}'      ):
																												# Longer text that will definitely require truncation.
																												_a			  =       [
																												    ''' 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			  =       [
																												    '''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:
																																			_a			  =       tokenizer.prepare_seqaseq_batch(
																																			    src_texts=lowerCAmelCase_							,    tgt_texts=lowerCAmelCase_							,    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
																												_a			  =       tokenizer.prepare_seqaseq_batch(
																												    lowerCAmelCase_							,    tgt_texts=lowerCAmelCase_							,    max_length=3							,    return_tensors='''pt'''      )
																												self.assertEqual(batch.input_ids.shape[1]							,    3      )
																												self.assertEqual(batch.labels.shape[1]							,    3      )

																												_a			  =       tokenizer.prepare_seqaseq_batch(
																												    src_texts=lowerCAmelCase_							,    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'''							,    lowerCAmelCase_      )







							@unittest.skip('''Unfortunately way too slow to build a BPE with SentencePiece.'''      )
							def      __lowerCAmelCase    (						self :						Dict      )    ->							Tuple:


														"""simple docstring"""


														pass







							def      __lowerCAmelCase    (						self :						List[Any]      )    ->							Optional[Any]:


														"""simple docstring"""


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

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

																												_a			  =       tokenizer_r.encode('''<special>'''							,    add_special_tokens=lowerCAmelCase_      )[0]

																												self.assertTrue(special_token_id in r_output      )

																												if self.test_slow_tokenizer:
																																			_a			  =       self.rust_tokenizer_class.from_pretrained(
																																			    lowerCAmelCase_							,    additional_special_tokens=lowerCAmelCase_							,    **lowerCAmelCase_							,    )
																																			_a			  =       self.tokenizer_class.from_pretrained(
																																			    lowerCAmelCase_							,    additional_special_tokens=lowerCAmelCase_							,    **lowerCAmelCase_      )

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

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

																																			self.assertEqual(lowerCAmelCase_							,    lowerCAmelCase_      )
																																			self.assertEqual(lowerCAmelCase_							,    lowerCAmelCase_      )
																																			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					):
							lowercase_           =       'facebook/nllb-200-distilled-600M'
							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_           =       [
							    25_6047,
							    1_6297,
							    13_4408,
							    8165,
							    24_8066,
							    1_4734,
							    950,
							    1135,
							    10_5721,
							    3573,
							    83,
							    2_7352,
							    108,
							    4_9486,
							    2,
							]







							@classmethod
							def      __lowerCAmelCase    (						cls :						Tuple      )    ->							Optional[int]:


														"""simple docstring"""


														_a			  =       NllbTokenizer.from_pretrained(
														    cls.checkpoint_name							,    src_lang='''eng_Latn'''							,    tgt_lang='''ron_Latn'''      )
														_a			  =       1
														return cls







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


														"""simple docstring"""


														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      __lowerCAmelCase    (						self :						Optional[Any]      )    ->							int:


														"""simple docstring"""


														_a			  =       self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
														self.assertListEqual(self.expected_src_tokens							,    lowerCAmelCase_      )







							def      __lowerCAmelCase    (						self :						int      )    ->							List[Any]:


														"""simple docstring"""


														self.assertIn(lowerCAmelCase_							,    self.tokenizer.all_special_ids      )
														# fmt: off
														_a			  =       [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

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







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


														"""simple docstring"""


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







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


														"""simple docstring"""


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







							def      __lowerCAmelCase    (						self :						List[str]      )    ->							Tuple:


														"""simple docstring"""


														_a			  =       tempfile.mkdtemp()
														_a			  =       self.tokenizer.fairseq_tokens_to_ids
														self.tokenizer.save_pretrained(lowerCAmelCase_      )
														_a			  =       NllbTokenizer.from_pretrained(lowerCAmelCase_      )
														self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,    lowerCAmelCase_      )







							@require_torch
							def      __lowerCAmelCase    (						self :						str      )    ->							Optional[int]:


														"""simple docstring"""


														_a			  =       self.tokenizer(
														    self.src_text							,    text_target=self.tgt_text							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    max_length=len(self.expected_src_tokens      )							,    return_tensors='''pt'''							,    )
														_a			  =       shift_tokens_right(
														    batch['''labels''']							,    self.tokenizer.pad_token_id							,    self.tokenizer.lang_code_to_id['''ron_Latn''']      )

														self.assertIsInstance(lowerCAmelCase_							,    lowerCAmelCase_      )

														self.assertEqual((2, 15)							,    batch.input_ids.shape      )
														self.assertEqual((2, 15)							,    batch.attention_mask.shape      )
														_a			  =       batch.input_ids.tolist()[0]
														self.assertListEqual(self.expected_src_tokens							,    lowerCAmelCase_      )
														self.assertEqual(lowerCAmelCase_							,    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      __lowerCAmelCase    (						self :						Optional[Any]      )    ->							Any:


														"""simple docstring"""


														_a			  =       self.tokenizer(self.src_text							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    max_length=3							,    return_tensors='''pt'''      )
														_a			  =       self.tokenizer(
														    text_target=self.tgt_text							,    padding=lowerCAmelCase_							,    truncation=lowerCAmelCase_							,    max_length=10							,    return_tensors='''pt'''      )
														_a			  =       targets['''input_ids''']
														_a			  =       shift_tokens_right(
														    lowerCAmelCase_							,    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      __lowerCAmelCase    (						self :						List[Any]      )    ->							Optional[Any]:


														"""simple docstring"""


														_a			  =       self.tokenizer._build_translation_inputs(
														    '''A test'''							,    return_tensors='''pt'''							,    src_lang='''eng_Latn'''							,    tgt_lang='''fra_Latn'''      )

														self.assertEqual(
														    nested_simplify(lowerCAmelCase_      )							,    {
														        # 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      __lowerCAmelCase    (						self :						Any      )    ->							Tuple:


														"""simple docstring"""


														_a			  =       True
														_a			  =       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]      )

														_a			  =       False
														_a			  =       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]      )

