

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


_lowerCamelCase    :       Optional[int]        =							get_tests_dir("fixtures/test_sentencepiece.model")

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

_lowerCamelCase    :       Dict        =							2_5_0_0_0_4
_lowerCamelCase    :       Tuple        =							2_5_0_0_2_0





@require_sentencepiece
@require_tokenizers
class  __UpperCAmelCase					(	lowerCamelCase__      ,  unittest.TestCase						):
   UpperCamelCase       					=					MBartaaTokenizer
   UpperCamelCase       					=					MBartaaTokenizerFast
   UpperCamelCase       					=					True
   UpperCamelCase       					=					True



   def 	__magic_name__   (							self							:					Dict						):
     super().setUp()

     # We have a SentencePiece fixture for testing
     UpperCAmelCase	:							Any						=			MBartaaTokenizer(__A,		src_lang='''en_XX''',		tgt_lang='''ro_RO''',		keep_accents=__A						)
     tokenizer.save_pretrained(self.tmpdirname						)



   def 	__magic_name__   (							self							:					Tuple						):
     UpperCAmelCase	:							List[str]						=			'''<s>'''
     UpperCAmelCase	:							Any						=			0

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(__A						),		__A						)
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(__A						),		__A						)



   def 	__magic_name__   (							self							:					str						):
     UpperCAmelCase	:							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(__A						),		1_0_5_4						)



   def 	__magic_name__   (							self							:					str						):
     self.assertEqual(self.get_tokenizer().vocab_size,		1_0_5_4						)



   def 	__magic_name__   (							self							:					Any						):
     UpperCAmelCase	:							int						=			MBartaaTokenizer(__A,		src_lang='''en_XX''',		tgt_lang='''ro_RO''',		keep_accents=__A						)

     UpperCAmelCase	:							int						=			tokenizer.tokenize('''This is a test'''						)
     self.assertListEqual(__A,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']						)

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

     UpperCAmelCase	:							Any						=			tokenizer.tokenize('''I was born in 92000, and this is falsé.'''						)
     self.assertListEqual(
         __A,		[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''', '''.'''],		)
     UpperCAmelCase	:							Optional[Any]						=			tokenizer.convert_tokens_to_ids(__A						)
     self.assertListEqual(
         __A,		[
             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]
         ],		)

     UpperCAmelCase	:							Union[str, Any]						=			tokenizer.convert_ids_to_tokens(__A						)
     self.assertListEqual(
         __A,		[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 	__magic_name__   (							self							:					int						):
     # fmt: off
     UpperCAmelCase	:							List[str]						=			{'''input_ids''': [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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=__A,		model_name='''facebook/mbart-large-50''',		revision='''d3913889c59cd5c9e456b269c376325eabad57e2''',		)





   def 	__magic_name__   (							self							:					Tuple						):
     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

     UpperCAmelCase	:							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})'''						):
         UpperCAmelCase	:							List[Any]						=			self.rust_tokenizer_class.from_pretrained(__A,		**__A						)
         UpperCAmelCase	:							Tuple						=			self.tokenizer_class.from_pretrained(__A,		**__A						)

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

         UpperCAmelCase	:							Tuple						=			tokenizer_r.save_pretrained(__A						)
         UpperCAmelCase	:							Optional[Any]						=			tokenizer_p.save_pretrained(__A						)

         # 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						)						)
         UpperCAmelCase	:							Dict						=			tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f						)
         self.assertSequenceEqual(__A,		__A						)

         # Checks everything loads correctly in the same way
         UpperCAmelCase	:							Tuple						=			tokenizer_r.from_pretrained(__A						)
         UpperCAmelCase	:							List[Any]						=			tokenizer_p.from_pretrained(__A						)

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

         shutil.rmtree(__A						)

         # Save tokenizer rust, legacy_format=True
         UpperCAmelCase	:							List[str]						=			tempfile.mkdtemp()

         UpperCAmelCase	:							Dict						=			tokenizer_r.save_pretrained(__A,		legacy_format=__A						)
         UpperCAmelCase	:							Optional[Any]						=			tokenizer_p.save_pretrained(__A						)

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

         # Checks everything loads correctly in the same way
         UpperCAmelCase	:							Optional[Any]						=			tokenizer_r.from_pretrained(__A						)
         UpperCAmelCase	:							Union[str, Any]						=			tokenizer_p.from_pretrained(__A						)

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

         shutil.rmtree(__A						)

         # Save tokenizer rust, legacy_format=False
         UpperCAmelCase	:							Any						=			tempfile.mkdtemp()

         UpperCAmelCase	:							Dict						=			tokenizer_r.save_pretrained(__A,		legacy_format=__A						)
         UpperCAmelCase	:							Any						=			tokenizer_p.save_pretrained(__A						)

         # 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
         UpperCAmelCase	:							Optional[int]						=			tokenizer_r.from_pretrained(__A						)
         UpperCAmelCase	:							str						=			tokenizer_p.from_pretrained(__A						)

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

         shutil.rmtree(__A						)






@require_torch
@require_sentencepiece
@require_tokenizers
class  __UpperCAmelCase					(	unittest.TestCase						):
   UpperCamelCase       					=					"""facebook/mbart-large-50-one-to-many-mmt"""
   UpperCamelCase       					=					[
       """ 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       					=					[
       """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       					=					[EN_CODE, 8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2]



   @classmethod
   def 	__magic_name__   (							cls							:					List[Any]						):
     UpperCAmelCase	:							MBartaaTokenizer						=			MBartaaTokenizer.from_pretrained(
         cls.checkpoint_name,		src_lang='''en_XX''',		tgt_lang='''ro_RO'''						)
     UpperCAmelCase	:							int						=			1
     return cls



   def 	__magic_name__   (							self							:					List[Any]						):
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR'''],		2_5_0_0_0_1						)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN'''],		2_5_0_0_0_4						)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO'''],		2_5_0_0_2_0						)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN'''],		2_5_0_0_3_8						)



   def 	__magic_name__   (							self							:					Optional[Any]						):
     UpperCAmelCase	:							List[str]						=			self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
     self.assertListEqual(self.expected_src_tokens,		__A						)



   def 	__magic_name__   (							self							:					int						):
     self.assertIn(__A,		self.tokenizer.all_special_ids						)
     UpperCAmelCase	:							List[Any]						=			[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
     UpperCAmelCase	:							Optional[Any]						=			self.tokenizer.decode(__A,		skip_special_tokens=__A						)
     UpperCAmelCase	:							Tuple						=			self.tokenizer.decode(generated_ids[1:],		skip_special_tokens=__A						)
     self.assertEqual(__A,		__A						)
     self.assertNotIn(self.tokenizer.eos_token,		__A						)



   def 	__magic_name__   (							self							:					Tuple						):
     UpperCAmelCase	:							Optional[Any]						=			['''this is gunna be a long sentence ''' * 2_0]
     assert isinstance(src_text[0],		__A						)
     UpperCAmelCase	:							Optional[Any]						=			1_0
     UpperCAmelCase	:							Optional[Any]						=			self.tokenizer(__A,		max_length=__A,		truncation=__A						).input_ids[0]
     self.assertEqual(ids[0],		__A						)
     self.assertEqual(ids[-1],		2						)
     self.assertEqual(len(__A						),		__A						)



   def 	__magic_name__   (							self							:					List[str]						):
     self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']						),		[2_5_0_0_5_3, 2_5_0_0_0_1]						)



   def 	__magic_name__   (							self							:					Union[str, Any]						):
     UpperCAmelCase	:							str						=			tempfile.mkdtemp()
     UpperCAmelCase	:							Optional[Any]						=			self.tokenizer.fairseq_tokens_to_ids
     self.tokenizer.save_pretrained(__A						)
     UpperCAmelCase	:							Union[str, Any]						=			MBartaaTokenizer.from_pretrained(__A						)
     self.assertDictEqual(new_tok.fairseq_tokens_to_ids,		__A						)



   @require_torch
   def 	__magic_name__   (							self							:					Optional[Any]						):
     UpperCAmelCase	:							Union[str, Any]						=			self.tokenizer(self.src_text,		text_target=self.tgt_text,		padding=__A,		return_tensors='''pt'''						)
     UpperCAmelCase	:							Union[str, 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 	__magic_name__   (							self							:					int						):
     UpperCAmelCase	:							Optional[int]						=			self.tokenizer(
         self.src_text,		text_target=self.tgt_text,		padding=__A,		truncation=__A,		max_length=len(self.expected_src_tokens						),		return_tensors='''pt''',		)
     UpperCAmelCase	:							int						=			shift_tokens_right(batch['''labels'''],		self.tokenizer.pad_token_id						)

     self.assertIsInstance(__A,		__A						)

     self.assertEqual((2, 1_4),		batch.input_ids.shape						)
     self.assertEqual((2, 1_4),		batch.attention_mask.shape						)
     UpperCAmelCase	:							Optional[Any]						=			batch.input_ids.tolist()[0]
     self.assertListEqual(self.expected_src_tokens,		__A						)
     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 	__magic_name__   (							self							:					Optional[Any]						):
     UpperCAmelCase	:							List[Any]						=			self.tokenizer(self.src_text,		padding=__A,		truncation=__A,		max_length=3,		return_tensors='''pt'''						)
     UpperCAmelCase	:							int						=			self.tokenizer(
         text_target=self.tgt_text,		padding=__A,		truncation=__A,		max_length=1_0,		return_tensors='''pt'''						)
     UpperCAmelCase	:							str						=			targets['''input_ids''']
     UpperCAmelCase	:							Optional[int]						=			shift_tokens_right(__A,		self.tokenizer.pad_token_id						)

     self.assertEqual(batch.input_ids.shape[1],		3						)
     self.assertEqual(batch.decoder_input_ids.shape[1],		1_0						)





   @require_torch
   def 	__magic_name__   (							self							:					List[Any]						):
     UpperCAmelCase	:							str						=			self.tokenizer._build_translation_inputs(
         '''A test''',		return_tensors='''pt''',		src_lang='''en_XX''',		tgt_lang='''ar_AR'''						)

     self.assertEqual(
         nested_simplify(__A						),		{
             # en_XX, A, test, EOS
             '''input_ids''': [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
             '''attention_mask''': [[1, 1, 1, 1]],
             # ar_AR
             '''forced_bos_token_id''': 2_5_0_0_0_1,
         },		)








def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      int      )  ->						str:
  if a < 0 or b < 0:
    raise ValueError('''the value of both inputs must be positive'''      )
  UpperCAmelCase	:							List[Any]						=			str(bin(UpperCAmelCase      )      )[2:]  # remove the leading "0b"
  UpperCAmelCase	:							List[str]						=			str(bin(UpperCAmelCase      )      )[2:]
  UpperCAmelCase	:							Optional[Any]						=			max(len(UpperCAmelCase      )    ,			len(UpperCAmelCase      )      )
  return "0b" + "".join(
      str(int('''1''' in (char_a, char_b)      )      )
      for char_a, char_b in zip(a_binary.zfill(UpperCAmelCase      )    ,			b_binary.zfill(UpperCAmelCase      )      )      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





