




'''simple docstring'''







import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, 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.plbart.modeling_plbart import shift_tokens_right

A     =5_00_03
A     =5_00_02


@require_sentencepiece
@require_tokenizers
class 			_a  (	__a							,							unittest.TestCase ):
       __a				:     Any   				=					PLBartTokenizer
       __a				:     Any   				=					None
       __a				:     Dict   				=					False
       def     A      (	self						:	List[str]				):



           '''simple docstring'''

           super().setUp()

           # We have a SentencePiece fixture for testing
           UpperCAmelCase			       =		PLBartTokenizer(lowercase   ,				language_codes='''base'''   ,				keep_accents=lowercase				)
           tokenizer.save_pretrained(self.tmpdirname				)
       def     A      (	self						:	Optional[int]				):



           '''simple docstring'''

           UpperCAmelCase			       =		PLBartTokenizer(lowercase   ,				language_codes='''base'''   ,				keep_accents=lowercase				)

           UpperCAmelCase			       =		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 [285, 46, 10, 170, 382]]   ,				)

           UpperCAmelCase			       =		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''',
                   '''.''',
               ]   ,				)
           UpperCAmelCase			       =		tokenizer.convert_tokens_to_ids(lowercase				)
           self.assertListEqual(
               lowercase   ,				[
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]   ,				)

           UpperCAmelCase			       =		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>''',
                   '''.''',
               ]   ,				)

           UpperCAmelCase			       =		tokenizer.vocab_size
           UpperCAmelCase			       =		[tokenizer.convert_ids_to_tokens(lowercase				) for x in range(end - 4   ,				lowercase				)]

           self.assertListEqual(lowercase   ,				['''__java__''', '''__python__''', '''__en_XX__''', '''<mask>''']				)

           UpperCAmelCase			       =		'''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
           UpperCAmelCase			       =		tokenizer(lowercase				).input_ids
           self.assertEqual(
               tokenizer.decode(lowercase   ,				skip_special_tokens=lowercase   ,				clean_up_tokenization_spaces=lowercase				)   ,				lowercase   ,				)







       def     A      (	self						:	Dict				):



           '''simple docstring'''

           UpperCAmelCase			       =		PLBartTokenizer(lowercase   ,				language_codes='''multi'''   ,				keep_accents=lowercase				)

           UpperCAmelCase			       =		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 [285, 46, 10, 170, 382]]   ,				)

           UpperCAmelCase			       =		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''',
                   '''.''',
               ]   ,				)
           UpperCAmelCase			       =		tokenizer.convert_tokens_to_ids(lowercase				)
           self.assertListEqual(
               lowercase   ,				[
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]   ,				)

           UpperCAmelCase			       =		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>''',
                   '''.''',
               ]   ,				)
           UpperCAmelCase			       =		tokenizer.vocab_size
           UpperCAmelCase			       =		[tokenizer.convert_ids_to_tokens(lowercase				) for x in range(end - 7   ,				lowercase				)]

           self.assertListEqual(
               lowercase   ,				['''__java__''', '''__python__''', '''__en_XX__''', '''__javascript__''', '''__php__''', '''__ruby__''', '''__go__''']				)
           UpperCAmelCase			       =		'''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
           UpperCAmelCase			       =		tokenizer(lowercase				).input_ids
           self.assertEqual(
               tokenizer.decode(lowercase   ,				skip_special_tokens=lowercase   ,				clean_up_tokenization_spaces=lowercase				)   ,				lowercase   ,				)






@require_torch
@require_sentencepiece
@require_tokenizers
class 			_a  (	unittest.TestCase ):
       __a				:     Tuple   				=					"""uclanlp/plbart-python-en_XX"""
       __a				:     int   				=					[
           """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
           """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
       ]
       __a				:     List[str]   				=					[
           """Returns the maximum value of a b c.""",
           """Sums the values of a b c.""",
       ]
       __a				:     int   				=					[
           134,
           5_452,
           33_460,
           33_441,
           33_463,
           33_465,
           33_463,
           33_449,
           988,
           20,
           33_456,
           19,
           33_456,
           771,
           39,
           4_258,
           889,
           3_318,
           33_441,
           33_463,
           33_465,
           33_463,
           33_449,
           2_471,
           2,
           PYTHON_CODE,
       ]
       @classmethod
       def     A      (	cls						:	str				):



           '''simple docstring'''

           UpperCAmelCase			       =		PLBartTokenizer.from_pretrained(
               cls.checkpoint_name   ,				language_codes='''base'''   ,				src_lang='''python'''   ,				tgt_lang='''en_XX'''				)
           UpperCAmelCase			       =		1
           return cls
       def     A      (	self						:	Dict				):



           '''simple docstring'''

           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__java__''']   ,				50_001				)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__python__''']   ,				50_002				)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__en_XX__''']   ,				50_003				)
       def     A      (	self						:	Optional[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
           self.assertListEqual(self.expected_src_tokens   ,				lowercase				)
       def     A      (	self						:	Any				):



           '''simple docstring'''

           self.assertIn(lowercase   ,				self.tokenizer.all_special_ids				)
           UpperCAmelCase			       =		[EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
           UpperCAmelCase			       =		self.tokenizer.decode(lowercase   ,				skip_special_tokens=lowercase				)
           UpperCAmelCase			       =		self.tokenizer.decode(generated_ids[1:]   ,				skip_special_tokens=lowercase				)
           self.assertEqual(lowercase   ,				lowercase				)
           self.assertNotIn(self.tokenizer.eos_token   ,				lowercase				)
       def     A      (	self						:	List[str]				):



           '''simple docstring'''

           UpperCAmelCase			       =		['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 20]
           self.assertIsInstance(src_text[0]   ,				lowercase				)
           UpperCAmelCase			       =		10
           UpperCAmelCase			       =		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     A      (	self						:	Dict				):



           '''simple docstring'''

           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''__java__''']				)   ,				[50_004, 50_001]				)
       def     A      (	self						:	List[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		tempfile.mkdtemp()
           UpperCAmelCase			       =		self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(lowercase				)
           UpperCAmelCase			       =		PLBartTokenizer.from_pretrained(lowercase				)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids   ,				lowercase				)
       @require_torch
       def     A      (	self						:	Union[str, Any]				):



           '''simple docstring'''

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

           # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
           self.assertEqual(batch.input_ids[1][-2:].tolist()   ,				[2, PYTHON_CODE]				)
           self.assertEqual(batch.decoder_input_ids[1][0]   ,				lowercase				)
           self.assertEqual(batch.decoder_input_ids[1][-1]   ,				2				)
           self.assertEqual(batch.labels[1][-2:].tolist()   ,				[2, EN_CODE]				)
       @require_torch
       def     A      (	self						:	Optional[int]				):



           '''simple docstring'''

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

           self.assertIsInstance(lowercase   ,				lowercase				)

           self.assertEqual((2, 26)   ,				batch.input_ids.shape				)
           self.assertEqual((2, 26)   ,				batch.attention_mask.shape				)
           UpperCAmelCase			       =		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, PYTHON_CODE]				)
       def     A      (	self						:	int				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.tokenizer(self.src_text   ,				padding=lowercase   ,				truncation=lowercase   ,				max_length=3   ,				return_tensors='''pt'''				)
           UpperCAmelCase			       =		self.tokenizer(
               text_target=self.tgt_text   ,				padding=lowercase   ,				truncation=lowercase   ,				max_length=10   ,				return_tensors='''pt'''				)
           UpperCAmelCase			       =		targets['''input_ids''']
           UpperCAmelCase			       =		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]   ,				10				)







       @require_torch
       def     A      (	self						:	Optional[Any]				):



           '''simple docstring'''

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

           self.assertEqual(
               nested_simplify(lowercase				)   ,				{
                   # A, test, EOS, en_XX
                   '''input_ids''': [[150, 242, 2, 50_003]],
                   '''attention_mask''': [[1, 1, 1, 1]],
                   # java
                   '''forced_bos_token_id''': 50_001,
               }   ,				)










'''simple docstring'''







import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class 			_a  (	__a ):
       __a				:     int   				=					["""image_processor""", """tokenizer"""]
       __a				:     Union[str, Any]   				=					"""ChineseCLIPImageProcessor"""
       __a				:     List[Any]   				=					("""BertTokenizer""", """BertTokenizerFast""")
       def __init__(	self						:	Dict   ,				lowercase						:	Union[str, Any]=None   ,				lowercase						:	Dict=None   ,				**lowercase						:	Optional[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		None
           if "feature_extractor" in kwargs:
               warnings.warn(
                   '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
                   ''' instead.'''   ,				lowercase   ,				)
               UpperCAmelCase			       =		kwargs.pop('''feature_extractor'''				)

           UpperCAmelCase			       =		image_processor if image_processor is not None else feature_extractor
           if image_processor is None:
               raise ValueError('''You need to specify an `image_processor`.'''				)
           if tokenizer is None:
               raise ValueError('''You need to specify a `tokenizer`.'''				)

           super().__init__(lowercase   ,				lowercase				)
           UpperCAmelCase			       =		self.image_processor
       def __call__(	self						:	Tuple   ,				lowercase						:	Optional[Any]=None   ,				lowercase						:	Union[str, Any]=None   ,				lowercase						:	int=None   ,				**lowercase						:	Dict				):



           '''simple docstring'''

           if text is None and images is None:
               raise ValueError('''You have to specify either text or images. Both cannot be none.'''				)

           if text is not None:
               UpperCAmelCase			       =		self.tokenizer(lowercase   ,				return_tensors=lowercase   ,				**lowercase				)

           if images is not None:
               UpperCAmelCase			       =		self.image_processor(lowercase   ,				return_tensors=lowercase   ,				**lowercase				)

           if text is not None and images is not None:
               UpperCAmelCase			       =		image_features.pixel_values
               return encoding
           elif text is not None:
               return encoding
           else:
               return BatchEncoding(data=dict(**lowercase				)   ,				tensor_type=lowercase				)
       def     A      (	self						:	int   ,				*lowercase						:	Tuple   ,				**lowercase						:	List[str]				):



           '''simple docstring'''

           return self.tokenizer.batch_decode(*lowercase   ,				**lowercase				)
       def     A      (	self						:	Optional[Any]   ,				*lowercase						:	int   ,				**lowercase						:	Optional[int]				):



           '''simple docstring'''

           return self.tokenizer.decode(*lowercase   ,				**lowercase				)
       @property
       def     A      (	self						:	Optional[int]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.tokenizer.model_input_names
           UpperCAmelCase			       =		self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)







       @property
       def     A      (	self						:	List[Any]				):



           '''simple docstring'''

           warnings.warn(
               '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''   ,				lowercase   ,				)
           return self.image_processor_class




