




import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin




class 		UpperCamelCase__	(lowerCAmelCase__    ,				unittest.TestCase     ):

    '''simple docstring'''



    lowerCamelCase_      :	Optional[int]	     =      XLMTokenizer
    lowerCamelCase_      :	Dict	     =      False







    def     _lowercase     (    self     )     ->      List[Any]:
           super().setUp()

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           lowerCamelCase   :      Union[str, Any]			 =					[
               "l",
               "o",
               "w",
               "e",
               "r",
               "s",
               "t",
               "i",
               "d",
               "n",
               "w</w>",
               "r</w>",
               "t</w>",
               "lo",
               "low",
               "er</w>",
               "low</w>",
               "lowest</w>",
               "newer</w>",
               "wider</w>",
               "<unk>",
           ]
           lowerCamelCase   :      Optional[Any]			 =					dict(zip(UpperCamelCase__     ,  range(len(UpperCamelCase__     )     )     )     )
           lowerCamelCase   :      Any			 =					["l o 123", "lo w 1456", "e r</w> 1789", ""]

           lowerCamelCase   :      List[Any]			 =					os.path.join(self.tmpdirname     ,  VOCAB_FILES_NAMES["vocab_file"]     )
           lowerCamelCase   :      Union[str, Any]			 =					os.path.join(self.tmpdirname     ,  VOCAB_FILES_NAMES["merges_file"]     )
           with open(self.vocab_file     ,  "w"     ) as fp:
                  fp.write(json.dumps(UpperCamelCase__     )     )
           with open(self.merges_file     ,  "w"     ) as fp:
                  fp.write("\n".join(UpperCamelCase__     )     )







    def     _lowercase     (    self     ,  UpperCamelCase__     )     ->      str:
           lowerCamelCase   :      Union[str, Any]			 =					"lower newer"
           lowerCamelCase   :      List[Any]			 =					"lower newer"
           return input_text, output_text







    def     _lowercase     (    self     )     ->      List[Any]:
           lowerCamelCase   :      str			 =					XLMTokenizer(self.vocab_file     ,  self.merges_file     )

           lowerCamelCase   :      Tuple			 =					"lower"
           lowerCamelCase   :      Optional[int]			 =					["low", "er</w>"]
           lowerCamelCase   :      Any			 =					tokenizer.tokenize(UpperCamelCase__     )
           self.assertListEqual(UpperCamelCase__     ,  UpperCamelCase__     )

           lowerCamelCase   :      Dict			 =					tokens + ["<unk>"]
           lowerCamelCase   :      List[Any]			 =					[14, 15, 20]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__     )     ,  UpperCamelCase__     )







    @slow
    def     _lowercase     (    self     )     ->      Optional[Any]:
           lowerCamelCase   :      Union[str, Any]			 =					XLMTokenizer.from_pretrained("xlm-mlm-en-2048"     )

           lowerCamelCase   :      int			 =					tokenizer.encode("sequence builders"     ,  add_special_tokens=UpperCamelCase__     )
           lowerCamelCase   :      Optional[Any]			 =					tokenizer.encode("multi-sequence build"     ,  add_special_tokens=UpperCamelCase__     )

           lowerCamelCase   :      Union[str, Any]			 =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase__     )
           lowerCamelCase   :      Any			 =					tokenizer.build_inputs_with_special_tokens(UpperCamelCase__     ,  UpperCamelCase__     )

           assert encoded_sentence == [0] + text + [1]
           assert encoded_pair == [0] + text + [1] + text_a + [1]










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


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


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

_UpperCAmelCase	:     Optional[int]   =25_0004
_UpperCAmelCase	:     Tuple   =25_0020







@require_sentencepiece
@require_tokenizers
class  snake_case__(							UpperCAmelCase__,  unittest.TestCase							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__					:     Tuple    =							MBartTokenizer
						SCREAMING_SNAKE_CASE__					:     Dict    =							MBartTokenizerFast
						SCREAMING_SNAKE_CASE__					:     Tuple    =							True
						SCREAMING_SNAKE_CASE__					:     List[str]    =							True




						def   lowercase_       ( self							)    ->			Dict:
										super().setUp()

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




						def   lowercase_       ( self							)    ->			List[Any]:
										lowerCAmelCase_       :					Optional[int]			 = MBartTokenizer(__lowercase      ,  keep_accents=__lowercase							)

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

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

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

										lowerCAmelCase_       :					Union[str, Any]			 = tokenizer.convert_ids_to_tokens(__lowercase							)
										self.assertListEqual(
										    __lowercase      ,  [
										        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							)    ->			Dict:
										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_       :					int			 = (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})"""							):
																		lowerCAmelCase_       :					Optional[int]			 = self.rust_tokenizer_class.from_pretrained(__lowercase      ,  **__lowercase							)
																		lowerCAmelCase_       :					int			 = self.tokenizer_class.from_pretrained(__lowercase      ,  **__lowercase							)

																		lowerCAmelCase_       :					Tuple			 = tempfile.mkdtemp()

																		lowerCAmelCase_       :					Union[str, Any]			 = tokenizer_r.save_pretrained(__lowercase							)
																		lowerCAmelCase_       :					Dict			 = tokenizer_p.save_pretrained(__lowercase							)

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

																		# Checks everything loads correctly in the same way
																		lowerCAmelCase_       :					Tuple			 = tokenizer_r.from_pretrained(__lowercase							)
																		lowerCAmelCase_       :					Dict			 = tokenizer_p.from_pretrained(__lowercase							)

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

																		shutil.rmtree(__lowercase							)

																		# Save tokenizer rust, legacy_format=True
																		lowerCAmelCase_       :					Optional[Any]			 = tempfile.mkdtemp()

																		lowerCAmelCase_       :					int			 = tokenizer_r.save_pretrained(__lowercase      ,  legacy_format=__lowercase							)
																		lowerCAmelCase_       :					Tuple			 = tokenizer_p.save_pretrained(__lowercase							)

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

																		# Checks everything loads correctly in the same way
																		lowerCAmelCase_       :					Optional[int]			 = tokenizer_r.from_pretrained(__lowercase							)
																		lowerCAmelCase_       :					List[Any]			 = tokenizer_p.from_pretrained(__lowercase							)

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

																		shutil.rmtree(__lowercase							)

																		# Save tokenizer rust, legacy_format=False
																		lowerCAmelCase_       :					Optional[Any]			 = tempfile.mkdtemp()

																		lowerCAmelCase_       :					List[str]			 = tokenizer_r.save_pretrained(__lowercase      ,  legacy_format=__lowercase							)
																		lowerCAmelCase_       :					Optional[int]			 = tokenizer_p.save_pretrained(__lowercase							)

																		# 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_       :					Dict			 = tokenizer_r.from_pretrained(__lowercase							)
																		lowerCAmelCase_       :					List[Any]			 = tokenizer_p.from_pretrained(__lowercase							)

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

																		shutil.rmtree(__lowercase							)







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







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__					:     int    =							"""facebook/mbart-large-en-ro"""
						SCREAMING_SNAKE_CASE__					:     int    =							[
						    """ 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.""",
						]
						SCREAMING_SNAKE_CASE__					:     Optional[int]    =							[
						    """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.""",
						]
						SCREAMING_SNAKE_CASE__					:     str    =							[8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2, EN_CODE]




						@classmethod
						def   lowercase_       ( cls							)    ->			Optional[int]:
										lowerCAmelCase_       :					MBartTokenizer			 = MBartTokenizer.from_pretrained(
										    cls.checkpoint_name      ,  src_lang='''en_XX'''      ,  tgt_lang='''ro_RO'''							)
										lowerCAmelCase_       :					Optional[Any]			 = 1
										return cls




						def   lowercase_       ( self							)    ->			Optional[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							)




						def   lowercase_       ( self							)    ->			Tuple:
										lowerCAmelCase_       :					Optional[int]			 = self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
										self.assertListEqual(self.expected_src_tokens      ,  __lowercase							)




						def   lowercase_       ( self							)    ->			Any:
										self.assertIn(__lowercase      ,  self.tokenizer.all_special_ids							)
										lowerCAmelCase_       :					Union[str, 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]
										lowerCAmelCase_       :					Tuple			 = self.tokenizer.decode(__lowercase      ,  skip_special_tokens=__lowercase							)
										lowerCAmelCase_       :					List[Any]			 = self.tokenizer.decode(generated_ids[1:]      ,  skip_special_tokens=__lowercase							)
										self.assertEqual(__lowercase      ,  __lowercase							)
										self.assertNotIn(self.tokenizer.eos_token      ,  __lowercase							)




						def   lowercase_       ( self							)    ->			Any:
										lowerCAmelCase_       :					Union[str, Any]			 = ['''this is gunna be a long sentence ''' * 2_0]
										assert isinstance(src_text[0]      ,  __lowercase							)
										lowerCAmelCase_       :					str			 = 1_0
										lowerCAmelCase_       :					Tuple			 = self.tokenizer(__lowercase      ,  max_length=__lowercase      ,  truncation=__lowercase							).input_ids[0]
										self.assertEqual(ids[-2]      ,  2							)
										self.assertEqual(ids[-1]      ,  __lowercase							)
										self.assertEqual(len(__lowercase							)      ,  __lowercase							)




						def   lowercase_       ( self							)    ->			int:
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']							)      ,  [2_5_0_0_2_6, 2_5_0_0_0_1]							)




						def   lowercase_       ( self							)    ->			Dict:
										lowerCAmelCase_       :					Any			 = tempfile.mkdtemp()
										lowerCAmelCase_       :					int			 = self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__lowercase							)
										lowerCAmelCase_       :					Optional[Any]			 = MBartTokenizer.from_pretrained(__lowercase							)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids      ,  __lowercase							)




						@require_torch
						def   lowercase_       ( self							)    ->			Union[str, Any]:
										lowerCAmelCase_       :					Tuple			 = self.tokenizer(self.src_text      ,  text_target=self.tgt_text      ,  padding=__lowercase      ,  return_tensors='''pt'''							)
										lowerCAmelCase_       :					Tuple			 = 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   lowercase_       ( self							)    ->			List[Any]:
										lowerCAmelCase_       :					str			 = self.tokenizer(
										    self.src_text      ,  text_target=self.tgt_text      ,  padding=__lowercase      ,  truncation=__lowercase      ,  max_length=len(self.expected_src_tokens							)      ,  return_tensors='''pt'''      ,  )

										lowerCAmelCase_       :					int			 = shift_tokens_right(batch['''labels''']      ,  self.tokenizer.pad_token_id							)

										self.assertIsInstance(__lowercase      ,  __lowercase							)

										self.assertEqual((2, 1_4)      ,  batch.input_ids.shape							)
										self.assertEqual((2, 1_4)      ,  batch.attention_mask.shape							)
										lowerCAmelCase_       :					str			 = batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens      ,  __lowercase							)
										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   lowercase_       ( self							)    ->			Optional[int]:
										lowerCAmelCase_       :					Optional[Any]			 = self.tokenizer(self.src_text      ,  padding=__lowercase      ,  truncation=__lowercase      ,  max_length=3      ,  return_tensors='''pt'''							)
										lowerCAmelCase_       :					Any			 = self.tokenizer(
										    text_target=self.tgt_text      ,  padding=__lowercase      ,  truncation=__lowercase      ,  max_length=1_0      ,  return_tensors='''pt'''							)
										lowerCAmelCase_       :					int			 = targets['''input_ids''']
										lowerCAmelCase_       :					Optional[Any]			 = shift_tokens_right(__lowercase      ,  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   lowercase_       ( self							)    ->			List[str]:
										lowerCAmelCase_       :					Any			 = self.tokenizer._build_translation_inputs(
										    '''A test'''      ,  return_tensors='''pt'''      ,  src_lang='''en_XX'''      ,  tgt_lang='''ar_AR'''							)

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