"""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   					=    get_tests_dir('fixtures/test_sentencepiece.model')


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

_A   					=    5_0_0_0_3
_A   					=    5_0_0_0_2

@require_sentencepiece
@require_tokenizers
class lowerCamelCase		(_SCREAMING_SNAKE_CASE    ,    unittest.TestCase      ):






					'''simple docstring'''


					a   	=		PLBartTokenizer
					a   	=		None
					a   	=		False



					def 			lowerCAmelCase_					(						self			:				int		)							->       Tuple:
									super().setUp()

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



					def 			lowerCAmelCase_					(						self			:				str		)							->       Union[str, Any]:
									SCREAMING_SNAKE_CASE__		  =				PLBartTokenizer(_snake_case   , language_codes="base"   , keep_accents=_snake_case		)

									SCREAMING_SNAKE_CASE__		  =				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]]   , )

									SCREAMING_SNAKE_CASE__		  =				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",
									        ".",
									    ]   , )
									SCREAMING_SNAKE_CASE__		  =				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]
									    ]   , )

									SCREAMING_SNAKE_CASE__		  =				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>",
									        ".",
									    ]   , )

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

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

									SCREAMING_SNAKE_CASE__		  =				"java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
									SCREAMING_SNAKE_CASE__		  =				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 			lowerCAmelCase_					(						self			:				str		)							->       Union[str, Any]:
									SCREAMING_SNAKE_CASE__		  =				PLBartTokenizer(_snake_case   , language_codes="multi"   , keep_accents=_snake_case		)

									SCREAMING_SNAKE_CASE__		  =				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]]   , )

									SCREAMING_SNAKE_CASE__		  =				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",
									        ".",
									    ]   , )
									SCREAMING_SNAKE_CASE__		  =				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]
									    ]   , )

									SCREAMING_SNAKE_CASE__		  =				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>",
									        ".",
									    ]   , )
									SCREAMING_SNAKE_CASE__		  =				tokenizer.vocab_size
									SCREAMING_SNAKE_CASE__		  =				[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__"]		)
									SCREAMING_SNAKE_CASE__		  =				"java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
									SCREAMING_SNAKE_CASE__		  =				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 lowerCamelCase		(unittest.TestCase      ):






					'''simple docstring'''


					a   	=		"uclanlp/plbart-python-en_XX"
					a   	=		[
					    "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   	=		[
					    "Returns the maximum value of a b c.",
					    "Sums the values of a b c.",
					]
					a   	=		[
					    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 			lowerCAmelCase_					(						cls			:				int		)							->       Dict:
									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 			lowerCAmelCase_					(						self			:				Union[str, Any]		)							->       List[Any]:
									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 			lowerCAmelCase_					(						self			:				List[Any]		)							->       Any:
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
									self.assertListEqual(self.expected_src_tokens   , _snake_case		)



					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       Optional[int]:
									self.assertIn(_snake_case   , self.tokenizer.all_special_ids		)
									SCREAMING_SNAKE_CASE__		  =				[EN_CODE, 9037, 33442, 57, 752, 153, 14, 56, 18, 9, 2]
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer.decode(_snake_case   , skip_special_tokens=_snake_case		)
									SCREAMING_SNAKE_CASE__		  =				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 			lowerCAmelCase_					(						self			:				Any		)							->       int:
									SCREAMING_SNAKE_CASE__		  =				["def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])" * 20]
									self.assertIsInstance(src_text[0]   , _snake_case		)
									SCREAMING_SNAKE_CASE__		  =				10
									SCREAMING_SNAKE_CASE__		  =				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 			lowerCAmelCase_					(						self			:				Optional[int]		)							->       List[Any]:
									self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "__java__"]		)   , [50004, 50001]		)



					def 			lowerCAmelCase_					(						self			:				Optional[Any]		)							->       str:
									SCREAMING_SNAKE_CASE__		  =				tempfile.mkdtemp()
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(_snake_case		)
									SCREAMING_SNAKE_CASE__		  =				PLBartTokenizer.from_pretrained(_snake_case		)
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids   , _snake_case		)



					@require_torch
					def 			lowerCAmelCase_					(						self			:				Tuple		)							->       List[str]:
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer(self.src_text   , text_target=self.tgt_text   , padding=_snake_case   , 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]   , _snake_case		)
									self.assertEqual(batch.decoder_input_ids[1][-1]   , 2		)
									self.assertEqual(batch.labels[1][-2:].tolist()   , [2, EN_CODE]		)



					@require_torch
					def 			lowerCAmelCase_					(						self			:				Dict		)							->       str:
									SCREAMING_SNAKE_CASE__		  =				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"   , )
									SCREAMING_SNAKE_CASE__		  =				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		)
									SCREAMING_SNAKE_CASE__		  =				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 			lowerCAmelCase_					(						self			:				Optional[int]		)							->       List[Any]:
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer(self.src_text   , padding=_snake_case   , truncation=_snake_case   , max_length=3   , return_tensors="pt"		)
									SCREAMING_SNAKE_CASE__		  =				self.tokenizer(
									    text_target=self.tgt_text   , padding=_snake_case   , truncation=_snake_case   , max_length=10   , return_tensors="pt"		)
									SCREAMING_SNAKE_CASE__		  =				targets["input_ids"]
									SCREAMING_SNAKE_CASE__		  =				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 			lowerCAmelCase_					(						self			:				Optional[int]		)							->       Optional[Any]:
									SCREAMING_SNAKE_CASE__		  =				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,
									    }   , )





"""simple docstring"""






from typing import TYPE_CHECKING

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


_A   					=    {'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_A   					=    [
						    'VAN_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'VanForImageClassification',
						    'VanModel',
						    'VanPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_van import (
												    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    VanForImageClassification,
												    VanModel,
												    VanPreTrainedModel,
												)

else:
						import sys

						_A   					=    _LazyModule(__name__, globals()['__file__'], _import_structure)




