




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


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

a_				:    int										=     5_00_03
a_				:    Tuple										=     5_00_02

@require_sentencepiece
@require_tokenizers
class __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						str     		= PLBartTokenizer
					__a						:						Tuple     		= None
					__a						:						Any     		= False
					def     snake_case_				(    self     ):
								super().setUp()

								# We have a SentencePiece fixture for testing
								__lowerCamelCase					:	List[str]	       =				PLBartTokenizer(__a						,	language_codes='base'						,	keep_accents=__a     )
								tokenizer.save_pretrained(self.tmpdirname     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				PLBartTokenizer(__a						,	language_codes='base'						,	keep_accents=__a     )

								__lowerCamelCase					:	Optional[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 [285, 46, 10, 170, 382]]						,	)

								__lowerCamelCase					:	List[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',
								        '.',
								    ]						,	)
								__lowerCamelCase					:	int	       =				tokenizer.convert_tokens_to_ids(__a     )
								self.assertListEqual(
								    __a						,	[
								        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]
								    ]						,	)

								__lowerCamelCase					:	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>',
								        '.',
								    ]						,	)

								__lowerCamelCase					:	Dict	       =				tokenizer.vocab_size
								__lowerCamelCase					:	Optional[int]	       =				[tokenizer.convert_ids_to_tokens(__a     ) for x in range(end - 4						,	__a     )]

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

								__lowerCamelCase					:	List[str]	       =				'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
								__lowerCamelCase					:	Optional[Any]	       =				tokenizer(__a     ).input_ids
								self.assertEqual(
								    tokenizer.decode(__a						,	skip_special_tokens=__a						,	clean_up_tokenization_spaces=__a     )						,	__a						,	)





					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				PLBartTokenizer(__a						,	language_codes='multi'						,	keep_accents=__a     )

								__lowerCamelCase					:	Any	       =				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 [285, 46, 10, 170, 382]]						,	)

								__lowerCamelCase					:	Optional[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',
								        '.',
								    ]						,	)
								__lowerCamelCase					:	Tuple	       =				tokenizer.convert_tokens_to_ids(__a     )
								self.assertListEqual(
								    __a						,	[
								        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]
								    ]						,	)

								__lowerCamelCase					:	int	       =				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>',
								        '.',
								    ]						,	)
								__lowerCamelCase					:	Any	       =				tokenizer.vocab_size
								__lowerCamelCase					:	Optional[int]	       =				[tokenizer.convert_ids_to_tokens(__a     ) for x in range(end - 7						,	__a     )]

								self.assertListEqual(
								    __a						,	['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__']     )
								__lowerCamelCase					:	List[Any]	       =				'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
								__lowerCamelCase					:	Optional[int]	       =				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 __lowercase(      unittest.TestCase				):




					'''simple docstring'''


					__a						:						str     		= 'uclanlp/plbart-python-en_XX'
					__a						:						Dict     		= [
					    '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[Any]     		= [
					    'Returns the maximum value of a b c.',
					    'Sums the values of a b c.',
					]
					__a						:						str     		= [
					    134,
					    5452,
					    33460,
					    33441,
					    33463,
					    33465,
					    33463,
					    33449,
					    988,
					    20,
					    33456,
					    19,
					    33456,
					    771,
					    39,
					    4258,
					    889,
					    3318,
					    33441,
					    33463,
					    33465,
					    33463,
					    33449,
					    2471,
					    2,
					    PYTHON_CODE,
					]
					@classmethod
					def     snake_case_				(    cls     ):
								__lowerCamelCase					:	PLBartTokenizer	       =				PLBartTokenizer.from_pretrained(
								    cls.checkpoint_name						,	language_codes='base'						,	src_lang='python'						,	tgt_lang='en_XX'     )
								__lowerCamelCase					:	int	       =				1
								return cls
					def     snake_case_				(    self     ):
								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     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens						,	__a     )
					def     snake_case_				(    self     ):
								self.assertIn(__a						,	self.tokenizer.all_special_ids     )
								__lowerCamelCase					:	Optional[Any]	       =				[EN_CODE, 9037, 33442, 57, 752, 153, 14, 56, 18, 9, 2]
								__lowerCamelCase					:	int	       =				self.tokenizer.decode(__a						,	skip_special_tokens=__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				self.tokenizer.decode(generated_ids[1:]						,	skip_special_tokens=__a     )
								self.assertEqual(__a						,	__a     )
								self.assertNotIn(self.tokenizer.eos_token						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
								self.assertIsInstance(src_text[0]						,	__a     )
								__lowerCamelCase					:	str	       =				10
								__lowerCamelCase					:	List[Any]	       =				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     snake_case_				(    self     ):
								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']     )						,	[50004, 50001]     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				tempfile.mkdtemp()
								__lowerCamelCase					:	int	       =				self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(__a     )
								__lowerCamelCase					:	Optional[int]	       =				PLBartTokenizer.from_pretrained(__a     )
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids						,	__a     )
					@require_torch
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				self.tokenizer(self.src_text						,	text_target=self.tgt_text						,	padding=__a						,	return_tensors='pt'     )
								__lowerCamelCase					:	List[str]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				self.tokenizer(
								    self.src_text						,	text_target=self.tgt_text						,	padding=__a						,	truncation=__a						,	max_length=len(self.expected_src_tokens     )						,	return_tensors='pt'						,	)
								__lowerCamelCase					:	int	       =				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     )
								__lowerCamelCase					:	Any	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				self.tokenizer(self.src_text						,	padding=__a						,	truncation=__a						,	max_length=3						,	return_tensors='pt'     )
								__lowerCamelCase					:	str	       =				self.tokenizer(
								    text_target=self.tgt_text						,	padding=__a						,	truncation=__a						,	max_length=10						,	return_tensors='pt'     )
								__lowerCamelCase					:	Optional[int]	       =				targets['input_ids']
								__lowerCamelCase					:	List[Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				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': [[150, 242, 2, 50003]],
								        'attention_mask': [[1, 1, 1, 1]],
								        # java
								        'forced_bos_token_id': 50001,
								    }						,	)









"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a_				:    List[Any]										=     {
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a_				:    int										=     [
					    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''EncodecModel''',
					    '''EncodecPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_encodec import (
					    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    EncodecConfig,
					)
					from .feature_extraction_encodec import EncodecFeatureExtractor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_encodec import (
										    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
										    EncodecModel,
										    EncodecPreTrainedModel,
										)

else:
					import sys

					a_				:    Tuple										=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



