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_:   Dict   =      get_tests_dir('fixtures/test_sentencepiece.model')


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

A_:   Optional[Any]   =      5_0003
A_:   List[Any]   =      5_0002


@require_sentencepiece
@require_tokenizers
class _lowercase       (							lowerCAmelCase__ ,					unittest.TestCase    ):





							"""simple docstring"""




							lowerCAmelCase__							=       PLBartTokenizer
							lowerCAmelCase__							=       None
							lowerCAmelCase__							=       False



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														super().setUp()

														# We have a SentencePiece fixture for testing
														_lowercase					=						PLBartTokenizer(snake_case_  , language_codes="""base"""  , keep_accents=snake_case_	)
														tokenizer.save_pretrained(self.tmpdirname	)



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						PLBartTokenizer(snake_case_  , language_codes="""base"""  , keep_accents=snake_case_	)

														_lowercase					=						tokenizer.tokenize("""This is a test"""	)
														self.assertListEqual(snake_case_  , ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

														self.assertListEqual(
														    tokenizer.convert_tokens_to_ids(snake_case_	)  , [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]  , )

														_lowercase					=						tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
														self.assertListEqual(
														    snake_case_  , [
														        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""",
														        """.""",
														    ]  , )
														_lowercase					=						tokenizer.convert_tokens_to_ids(snake_case_	)
														self.assertListEqual(
														    snake_case_  , [
														        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]
														    ]  , )

														_lowercase					=						tokenizer.convert_ids_to_tokens(snake_case_	)
														self.assertListEqual(
														    snake_case_  , [
														        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>""",
														        """.""",
														    ]  , )

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

														self.assertListEqual(snake_case_  , ["""__java__""", """__python__""", """__en_XX__""", """<mask>"""]	)

														_lowercase					=						"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
														_lowercase					=						tokenizer(snake_case_	).input_ids
														self.assertEqual(
														    tokenizer.decode(snake_case_  , skip_special_tokens=snake_case_  , clean_up_tokenization_spaces=snake_case_	)  , snake_case_  , )



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						PLBartTokenizer(snake_case_  , language_codes="""multi"""  , keep_accents=snake_case_	)

														_lowercase					=						tokenizer.tokenize("""This is a test"""	)
														self.assertListEqual(snake_case_  , ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

														self.assertListEqual(
														    tokenizer.convert_tokens_to_ids(snake_case_	)  , [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]  , )

														_lowercase					=						tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
														self.assertListEqual(
														    snake_case_  , [
														        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""",
														        """.""",
														    ]  , )
														_lowercase					=						tokenizer.convert_tokens_to_ids(snake_case_	)
														self.assertListEqual(
														    snake_case_  , [
														        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]
														    ]  , )

														_lowercase					=						tokenizer.convert_ids_to_tokens(snake_case_	)
														self.assertListEqual(
														    snake_case_  , [
														        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>""",
														        """.""",
														    ]  , )
														_lowercase					=						tokenizer.vocab_size
														_lowercase					=						[tokenizer.convert_ids_to_tokens(snake_case_	) for x in range(end - 7  , snake_case_	)]

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






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





							"""simple docstring"""




							lowerCAmelCase__							=       'uclanlp/plbart-python-en_XX'
							lowerCAmelCase__							=       [
							    '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__							=       [
							    'Returns the maximum value of a b c.',
							    'Sums the values of a b c.',
							]
							lowerCAmelCase__							=       [
							    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      _UpperCAmelCase							(     cls	):







														'''simple docstring'''






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



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""]  , 50001	)
														self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""]  , 50002	)
														self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""]  , 50003	)



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
														self.assertListEqual(self.expected_src_tokens  , snake_case_	)



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														self.assertIn(snake_case_  , self.tokenizer.all_special_ids	)
														_lowercase					=						[EN_CODE, 9037, 33442, 57, 752, 153, 14, 56, 18, 9, 2]
														_lowercase					=						self.tokenizer.decode(snake_case_  , skip_special_tokens=snake_case_	)
														_lowercase					=						self.tokenizer.decode(generated_ids[1:]  , skip_special_tokens=snake_case_	)
														self.assertEqual(snake_case_  , snake_case_	)
														self.assertNotIn(self.tokenizer.eos_token  , snake_case_	)



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






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



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]	)  , [50004, 50001]	)



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						tempfile.mkdtemp()
														_lowercase					=						self.tokenizer.fairseq_tokens_to_ids
														self.tokenizer.save_pretrained(snake_case_	)
														_lowercase					=						PLBartTokenizer.from_pretrained(snake_case_	)
														self.assertDictEqual(new_tok.fairseq_tokens_to_ids  , snake_case_	)



							@require_torch
							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






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



							@require_torch
							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						self.tokenizer(
														    self.src_text  , text_target=self.tgt_text  , padding=snake_case_  , truncation=snake_case_  , max_length=len(self.expected_src_tokens	)  , return_tensors="""pt"""  , )
														_lowercase					=						shift_tokens_right(batch["""labels"""]  , self.tokenizer.pad_token_id	)

														self.assertIsInstance(snake_case_  , snake_case_	)

														self.assertEqual((2, 26)  , batch.input_ids.shape	)
														self.assertEqual((2, 26)  , batch.attention_mask.shape	)
														_lowercase					=						batch.input_ids.tolist()[0]
														self.assertListEqual(self.expected_src_tokens  , snake_case_	)
														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      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														_lowercase					=						self.tokenizer(self.src_text  , padding=snake_case_  , truncation=snake_case_  , max_length=3  , return_tensors="""pt"""	)
														_lowercase					=						self.tokenizer(
														    text_target=self.tgt_text  , padding=snake_case_  , truncation=snake_case_  , max_length=10  , return_tensors="""pt"""	)
														_lowercase					=						targets["""input_ids"""]
														_lowercase					=						shift_tokens_right(snake_case_  , 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      _UpperCAmelCase							(     self	):







														'''simple docstring'''






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

														self.assertEqual(
														    nested_simplify(snake_case_	)  , {
														        # A, test, EOS, en_XX
														        """input_ids""": [[150, 242, 2, 50003]],
														        """attention_mask""": [[1, 1, 1, 1]],
														        # java
														        """forced_bos_token_id""": 50001,
														    }  , )






a			:			Any												=					[
    '''Audio''',
    '''Array2D''',
    '''Array3D''',
    '''Array4D''',
    '''Array5D''',
    '''ClassLabel''',
    '''Features''',
    '''Sequence''',
    '''Value''',
    '''Image''',
    '''Translation''',
    '''TranslationVariableLanguages''',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages


