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


lowerCamelCase_    :		Any							=	get_tests_dir("""fixtures/test_sentencepiece.model""")


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

lowerCamelCase_    :		Any							=	50_003
lowerCamelCase_    :		Union[str, Any]							=	50_002


@require_sentencepiece
@require_tokenizers
class 						a__							(       __snake_case				,						unittest.TestCase		):
			A__    :       Optional[Any]        =      PLBartTokenizer
			A__    :       Optional[int]        =      None
			A__    :       Optional[int]        =      False



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Any:
								super().setUp()

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								__a		 =       PLBartTokenizer(UpperCAmelCase				,						language_codes='base'				,						keep_accents=UpperCAmelCase   )

								__a		 =       tokenizer.tokenize('This is a test'   )
								self.assertListEqual(UpperCAmelCase				,						['▁This', '▁is', '▁a', '▁t', 'est']   )

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

								__a		 =       tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
								self.assertListEqual(
								    UpperCAmelCase				,						[
								        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',
								        '.',
								    ]				,						)
								__a		 =       tokenizer.convert_tokens_to_ids(UpperCAmelCase   )
								self.assertListEqual(
								    UpperCAmelCase				,						[
								        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]
								    ]				,						)

								__a		 =       tokenizer.convert_ids_to_tokens(UpperCAmelCase   )
								self.assertListEqual(
								    UpperCAmelCase				,						[
								        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>',
								        '.',
								    ]				,						)

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

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

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







			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								__a		 =       PLBartTokenizer(UpperCAmelCase				,						language_codes='multi'				,						keep_accents=UpperCAmelCase   )

								__a		 =       tokenizer.tokenize('This is a test'   )
								self.assertListEqual(UpperCAmelCase				,						['▁This', '▁is', '▁a', '▁t', 'est']   )

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

								__a		 =       tokenizer.tokenize('I was born in 92000, and this is falsé.'   )
								self.assertListEqual(
								    UpperCAmelCase				,						[
								        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',
								        '.',
								    ]				,						)
								__a		 =       tokenizer.convert_tokens_to_ids(UpperCAmelCase   )
								self.assertListEqual(
								    UpperCAmelCase				,						[
								        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]
								    ]				,						)

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

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






@require_torch
@require_sentencepiece
@require_tokenizers
class 						a__							(       unittest.TestCase		):
			A__    :       Dict        =      'uclanlp/plbart-python-en_XX'
			A__    :       Optional[Any]        =      [
			    '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__    :       Union[str, Any]        =      [
			    1_34,
			    54_52,
			    3_34_60,
			    3_34_41,
			    3_34_63,
			    3_34_65,
			    3_34_63,
			    3_34_49,
			    9_88,
			    20,
			    3_34_56,
			    19,
			    3_34_56,
			    7_71,
			    39,
			    42_58,
			    8_89,
			    33_18,
			    3_34_41,
			    3_34_63,
			    3_34_65,
			    3_34_63,
			    3_34_49,
			    24_71,
			    2,
			    PYTHON_CODE,
			]



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls   )			->   Union[str, Any]:
								__a		 =       PLBartTokenizer.from_pretrained(
								    cls.checkpoint_name				,						language_codes='base'				,						src_lang='python'				,						tgt_lang='en_XX'   )
								__a		 =       1
								return cls



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__java__']				,						5_0_0_0_1   )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__python__']				,						5_0_0_0_2   )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__en_XX__']				,						5_0_0_0_3   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								__a		 =       self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens				,						UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								self.assertIn(UpperCAmelCase				,						self.tokenizer.all_special_ids   )
								__a		 =       [EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 9, 2]
								__a		 =       self.tokenizer.decode(UpperCAmelCase				,						skip_special_tokens=UpperCAmelCase   )
								__a		 =       self.tokenizer.decode(generated_ids[1:]				,						skip_special_tokens=UpperCAmelCase   )
								self.assertEqual(UpperCAmelCase				,						UpperCAmelCase   )
								self.assertNotIn(self.tokenizer.eos_token				,						UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								__a		 =       ['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 2_0]
								self.assertIsInstance(src_text[0]				,						UpperCAmelCase   )
								__a		 =       1_0
								__a		 =       self.tokenizer(UpperCAmelCase				,						max_length=UpperCAmelCase				,						truncation=UpperCAmelCase   ).input_ids[0]
								self.assertEqual(ids[-2]				,						2   )
								self.assertEqual(ids[-1]				,						UpperCAmelCase   )
								self.assertEqual(len(UpperCAmelCase   )				,						UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']   )				,						[5_0_0_0_4, 5_0_0_0_1]   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								__a		 =       tempfile.mkdtemp()
								__a		 =       self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(UpperCAmelCase   )
								__a		 =       PLBartTokenizer.from_pretrained(UpperCAmelCase   )
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,						UpperCAmelCase   )



			@require_torch
			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[str]:
								__a		 =       self.tokenizer(self.src_text				,						text_target=self.tgt_text				,						padding=UpperCAmelCase				,						return_tensors='pt'   )
								__a		 =       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]				,						UpperCAmelCase   )
								self.assertEqual(batch.decoder_input_ids[1][-1]				,						2   )
								self.assertEqual(batch.labels[1][-2:].tolist()				,						[2, EN_CODE]   )



			@require_torch
			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								__a		 =       self.tokenizer(
								    self.src_text				,						text_target=self.tgt_text				,						padding=UpperCAmelCase				,						truncation=UpperCAmelCase				,						max_length=len(self.expected_src_tokens   )				,						return_tensors='pt'				,						)
								__a		 =       shift_tokens_right(batch['labels']				,						self.tokenizer.pad_token_id   )

								self.assertIsInstance(UpperCAmelCase				,						UpperCAmelCase   )

								self.assertEqual((2, 2_6)				,						batch.input_ids.shape   )
								self.assertEqual((2, 2_6)				,						batch.attention_mask.shape   )
								__a		 =       batch.input_ids.tolist()[0]
								self.assertListEqual(self.expected_src_tokens				,						UpperCAmelCase   )
								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 __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       self.tokenizer(self.src_text				,						padding=UpperCAmelCase				,						truncation=UpperCAmelCase				,						max_length=3				,						return_tensors='pt'   )
								__a		 =       self.tokenizer(
								    text_target=self.tgt_text				,						padding=UpperCAmelCase				,						truncation=UpperCAmelCase				,						max_length=1_0				,						return_tensors='pt'   )
								__a		 =       targets['input_ids']
								__a		 =       shift_tokens_right(UpperCAmelCase				,						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 __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								__a		 =       self.tokenizer._build_translation_inputs(
								    'A test'				,						return_tensors='pt'				,						src_lang='en_XX'				,						tgt_lang='java'   )

								self.assertEqual(
								    nested_simplify(UpperCAmelCase   )				,						{
								        # A, test, EOS, en_XX
								        'input_ids': [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
								        'attention_mask': [[1, 1, 1, 1]],
								        # java
								        'forced_bos_token_id': 5_0_0_0_1,
								    }				,						)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowerCamelCase_    :		Dict							=	{"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Optional[Any]							=	["""SpeechEncoderDecoderModel"""]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Dict							=	["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	lowerCamelCase_    :		Optional[int]							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




