





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


if is_torch_available():
  from transformers.models.plbart.modeling_plbart import shift_tokens_right

_A					:				List[str]				=			5_00_03
_A					:				int				=			5_00_02



@require_sentencepiece
@require_tokenizers
class 					__snake_case	(  __SCREAMING_SNAKE_CASE			,     unittest.TestCase    ):


    '''simple docstring'''







    lowerCamelCase__    :		Optional[Any]				=	PLBartTokenizer
    lowerCamelCase__    :		Optional[int]				=	None
    lowerCamelCase__    :		Union[str, Any]				=	False



    def  lowercase_					(       self     ):





        '''simple docstring'''

        super().setUp()

        # We have a SentencePiece fixture for testing
        SCREAMING_SNAKE_CASE__											=			PLBartTokenizer(A_   ,				language_codes='''base'''   ,				keep_accents=A_     )
        tokenizer.save_pretrained(self.tmpdirname     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			PLBartTokenizer(A_   ,				language_codes='''base'''   ,				keep_accents=A_     )

        SCREAMING_SNAKE_CASE__											=			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_85, 46, 10, 1_70, 3_82]]   ,				)

        SCREAMING_SNAKE_CASE__											=			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''',
                '''.''',
            ]   ,				)
        SCREAMING_SNAKE_CASE__											=			tokenizer.convert_tokens_to_ids(A_     )
        self.assertListEqual(
            A_   ,				[
                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]
            ]   ,				)

        SCREAMING_SNAKE_CASE__											=			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>''',
                '''.''',
            ]   ,				)

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

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

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




    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			PLBartTokenizer(A_   ,				language_codes='''multi'''   ,				keep_accents=A_     )

        SCREAMING_SNAKE_CASE__											=			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_85, 46, 10, 1_70, 3_82]]   ,				)

        SCREAMING_SNAKE_CASE__											=			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''',
                '''.''',
            ]   ,				)
        SCREAMING_SNAKE_CASE__											=			tokenizer.convert_tokens_to_ids(A_     )
        self.assertListEqual(
            A_   ,				[
                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]
            ]   ,				)

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

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





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


    '''simple docstring'''







    lowerCamelCase__    :		int				=	"""uclanlp/plbart-python-en_XX"""
    lowerCamelCase__    :		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])""",
    ]
    lowerCamelCase__    :		Tuple				=	[
        """Returns the maximum value of a b c.""",
        """Sums the values of a b c.""",
    ]
    lowerCamelCase__    :		int				=	[
        1_3_4,
        5_4_5_2,
        3_3_4_6_0,
        3_3_4_4_1,
        3_3_4_6_3,
        3_3_4_6_5,
        3_3_4_6_3,
        3_3_4_4_9,
        9_8_8,
        2_0,
        3_3_4_5_6,
        1_9,
        3_3_4_5_6,
        7_7_1,
        3_9,
        4_2_5_8,
        8_8_9,
        3_3_1_8,
        3_3_4_4_1,
        3_3_4_6_3,
        3_3_4_6_5,
        3_3_4_6_3,
        3_3_4_4_9,
        2_4_7_1,
        2,
        PYTHON_CODE,
    ]



    @classmethod
    def  lowercase_					(       cls     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			PLBartTokenizer.from_pretrained(
            cls.checkpoint_name   ,				language_codes='''base'''   ,				src_lang='''python'''   ,				tgt_lang='''en_XX'''     )
        SCREAMING_SNAKE_CASE__											=			1
        return cls



    def  lowercase_					(       self     ):





        '''simple docstring'''

        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__java__''']   ,				5_00_01     )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__python__''']   ,				5_00_02     )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''__en_XX__''']   ,				5_00_03     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
        self.assertListEqual(self.expected_src_tokens   ,				A_     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        self.assertIn(A_   ,				self.tokenizer.all_special_ids     )
        SCREAMING_SNAKE_CASE__											=			[EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 14, 56, 18, 9, 2]
        SCREAMING_SNAKE_CASE__											=			self.tokenizer.decode(A_   ,				skip_special_tokens=A_     )
        SCREAMING_SNAKE_CASE__											=			self.tokenizer.decode(generated_ids[1:]   ,				skip_special_tokens=A_     )
        self.assertEqual(A_   ,				A_     )
        self.assertNotIn(self.tokenizer.eos_token   ,				A_     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 20]
        self.assertIsInstance(src_text[0]   ,				A_     )
        SCREAMING_SNAKE_CASE__											=			10
        SCREAMING_SNAKE_CASE__											=			self.tokenizer(A_   ,				max_length=A_   ,				truncation=A_     ).input_ids[0]
        self.assertEqual(ids[-2]   ,				2     )
        self.assertEqual(ids[-1]   ,				A_     )
        self.assertEqual(len(A_     )   ,				A_     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''__java__''']     )   ,				[5_00_04, 5_00_01]     )



    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			tempfile.mkdtemp()
        SCREAMING_SNAKE_CASE__											=			self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(A_     )
        SCREAMING_SNAKE_CASE__											=			PLBartTokenizer.from_pretrained(A_     )
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids   ,				A_     )



    @require_torch
    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			self.tokenizer(self.src_text   ,				text_target=self.tgt_text   ,				padding=A_   ,				return_tensors='''pt'''     )
        SCREAMING_SNAKE_CASE__											=			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]   ,				A_     )
        self.assertEqual(batch.decoder_input_ids[1][-1]   ,				2     )
        self.assertEqual(batch.labels[1][-2:].tolist()   ,				[2, EN_CODE]     )



    @require_torch
    def  lowercase_					(       self     ):





        '''simple docstring'''

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

        self.assertIsInstance(A_   ,				A_     )

        self.assertEqual((2, 26)   ,				batch.input_ids.shape     )
        self.assertEqual((2, 26)   ,				batch.attention_mask.shape     )
        SCREAMING_SNAKE_CASE__											=			batch.input_ids.tolist()[0]
        self.assertListEqual(self.expected_src_tokens   ,				A_     )
        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  lowercase_					(       self     ):





        '''simple docstring'''

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




    @require_torch
    def  lowercase_					(       self     ):





        '''simple docstring'''

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

        self.assertEqual(
            nested_simplify(A_     )   ,				{
                # A, test, EOS, en_XX
                '''input_ids''': [[1_50, 2_42, 2, 5_00_03]],
                '''attention_mask''': [[1, 1, 1, 1]],
                # java
                '''forced_bos_token_id''': 5_00_01,
            }   ,				)







import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


_A					:				Dict				=			get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")



class 					__snake_case	(  __SCREAMING_SNAKE_CASE			,     unittest.TestCase    ):


    '''simple docstring'''







    lowerCamelCase__    :		Any				=	BartphoTokenizer
    lowerCamelCase__    :		Tuple				=	False
    lowerCamelCase__    :		Dict				=	True



    def  lowercase_					(       self     ):





        '''simple docstring'''

        super().setUp()

        SCREAMING_SNAKE_CASE__											=			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
        SCREAMING_SNAKE_CASE__											=			dict(zip(A_   ,				range(len(A_     )     )     )     )
        SCREAMING_SNAKE_CASE__											=			{'''unk_token''': '''<unk>'''}

        SCREAMING_SNAKE_CASE__											=			os.path.join(self.tmpdirname   ,				VOCAB_FILES_NAMES['''monolingual_vocab_file''']     )
        with open(self.monolingual_vocab_file   ,				'''w'''   ,				encoding='''utf-8'''     ) as fp:
            for token in vocab_tokens:
                fp.write(f'''{token} {vocab_tokens[token]}\n'''     )

        SCREAMING_SNAKE_CASE__											=			BartphoTokenizer(A_   ,				self.monolingual_vocab_file   ,				**self.special_tokens_map     )
        tokenizer.save_pretrained(self.tmpdirname     )



    def  lowercase_					(       self   ,				**A_     ):





        '''simple docstring'''

        kwargs.update(self.special_tokens_map     )
        return BartphoTokenizer.from_pretrained(self.tmpdirname   ,				**A_     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			'''This is a là test'''
        SCREAMING_SNAKE_CASE__											=			'''This is a<unk><unk> test'''
        return input_text, output_text




    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			BartphoTokenizer(A_   ,				self.monolingual_vocab_file   ,				**self.special_tokens_map     )
        SCREAMING_SNAKE_CASE__											=			'''This is a là test'''
        SCREAMING_SNAKE_CASE__											=			'''▁This ▁is ▁a ▁l à ▁t est'''.split()
        SCREAMING_SNAKE_CASE__											=			tokenizer.tokenize(A_     )
        self.assertListEqual(A_   ,				A_     )

        SCREAMING_SNAKE_CASE__											=			tokens + [tokenizer.unk_token]
        SCREAMING_SNAKE_CASE__											=			[4, 5, 6, 3, 3, 7, 8, 3]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(A_     )   ,				A_     )
