



"""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


__SCREAMING_SNAKE_CASE  :						str    							=      get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__SCREAMING_SNAKE_CASE  :						int    							=      5_0_0_0_3
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      5_0_0_0_2


@require_sentencepiece
@require_tokenizers
class 							lowerCamelCase_(   __UpperCAmelCase,				unittest.TestCase    ):





					'''simple docstring'''



					lowercase__   :       Dict										= PLBartTokenizer
					lowercase__   :       int										= None
					lowercase__   :       Optional[int]										= False

					def 			snake_case__      (    self   ):
									super().setUp()

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

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				PLBartTokenizer(lowerCAmelCase_				,       language_codes='''base'''				,       keep_accents=lowerCAmelCase_   )

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

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

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

									_lowerCamelCase        =				tokenizer.convert_ids_to_tokens(lowerCAmelCase_   )
									self.assertListEqual(
									    lowerCAmelCase_				,       [
									        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        =				tokenizer.vocab_size
									_lowerCamelCase        =				[tokenizer.convert_ids_to_tokens(lowerCAmelCase_   ) for x in range(end - 4				,       lowerCAmelCase_   )]

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

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





					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				PLBartTokenizer(lowerCAmelCase_				,       language_codes='''multi'''				,       keep_accents=lowerCAmelCase_   )

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

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

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

									_lowerCamelCase        =				tokenizer.convert_ids_to_tokens(lowerCAmelCase_   )
									self.assertListEqual(
									    lowerCAmelCase_				,       [
									        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        =				tokenizer.vocab_size
									_lowerCamelCase        =				[tokenizer.convert_ids_to_tokens(lowerCAmelCase_   ) for x in range(end - 7				,       lowerCAmelCase_   )]

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


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





					'''simple docstring'''



					lowercase__   :       Optional[int]										= 'uclanlp/plbart-python-en_XX'
					lowercase__   :       Tuple										= [
					    'def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])',
					    'def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])',
					]
					lowercase__   :       str										= [
					    'Returns the maximum value of a b c.',
					    'Sums the values of a b c.',
					]
					lowercase__   :       List[str]										= [
					    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 			snake_case__      (    cls   ):
									_lowerCamelCase        =				PLBartTokenizer.from_pretrained(
									    cls.checkpoint_name				,       language_codes='''base'''				,       src_lang='''python'''				,       tgt_lang='''en_XX'''   )
									_lowerCamelCase        =				1
									return cls

					def 			snake_case__      (    self   ):
									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 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
									self.assertListEqual(self.expected_src_tokens				,       lowerCAmelCase_   )

					def 			snake_case__      (    self   ):
									self.assertIn(lowerCAmelCase_				,       self.tokenizer.all_special_ids   )
									_lowerCamelCase        =				[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]
									_lowerCamelCase        =				self.tokenizer.decode(lowerCAmelCase_				,       skip_special_tokens=lowerCAmelCase_   )
									_lowerCamelCase        =				self.tokenizer.decode(generated_ids[1:]				,       skip_special_tokens=lowerCAmelCase_   )
									self.assertEqual(lowerCAmelCase_				,       lowerCAmelCase_   )
									self.assertNotIn(self.tokenizer.eos_token				,       lowerCAmelCase_   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				['''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''' * 2_0]
									self.assertIsInstance(src_text[0]				,       lowerCAmelCase_   )
									_lowerCamelCase        =				1_0
									_lowerCamelCase        =				self.tokenizer(lowerCAmelCase_				,       max_length=lowerCAmelCase_				,       truncation=lowerCAmelCase_   ).input_ids[0]
									self.assertEqual(ids[-2]				,       2   )
									self.assertEqual(ids[-1]				,       lowerCAmelCase_   )
									self.assertEqual(len(lowerCAmelCase_   )				,       lowerCAmelCase_   )

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

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				tempfile.mkdtemp()
									_lowerCamelCase        =				self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(lowerCAmelCase_   )
									_lowerCamelCase        =				PLBartTokenizer.from_pretrained(lowerCAmelCase_   )
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,       lowerCAmelCase_   )

					@require_torch
					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer(self.src_text				,       text_target=self.tgt_text				,       padding=lowerCAmelCase_				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				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]				,       lowerCAmelCase_   )
									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        =				self.tokenizer(
									    self.src_text				,       text_target=self.tgt_text				,       padding=lowerCAmelCase_				,       truncation=lowerCAmelCase_				,       max_length=len(self.expected_src_tokens   )				,       return_tensors='''pt'''				,       )
									_lowerCamelCase        =				shift_tokens_right(batch['''labels''']				,       self.tokenizer.pad_token_id   )

									self.assertIsInstance(lowerCAmelCase_				,       lowerCAmelCase_   )

									self.assertEqual((2, 2_6)				,       batch.input_ids.shape   )
									self.assertEqual((2, 2_6)				,       batch.attention_mask.shape   )
									_lowerCamelCase        =				batch.input_ids.tolist()[0]
									self.assertListEqual(self.expected_src_tokens				,       lowerCAmelCase_   )
									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        =				self.tokenizer(self.src_text				,       padding=lowerCAmelCase_				,       truncation=lowerCAmelCase_				,       max_length=3				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				self.tokenizer(
									    text_target=self.tgt_text				,       padding=lowerCAmelCase_				,       truncation=lowerCAmelCase_				,       max_length=1_0				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				targets['''input_ids''']
									_lowerCamelCase        =				shift_tokens_right(lowerCAmelCase_				,       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 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer._build_translation_inputs(
									    '''A test'''				,       return_tensors='''pt'''				,       src_lang='''en_XX'''				,       tgt_lang='''java'''   )

									self.assertEqual(
									    nested_simplify(lowerCAmelCase_   )				,       {
									        # 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,
									    }				,       )





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

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


__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						str    							=      ['''VisionEncoderDecoderModel''']

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						Dict    							=      ['''TFVisionEncoderDecoderModel''']

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__SCREAMING_SNAKE_CASE  :						List[Any]    							=      ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
			from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
			import sys

			__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
