

from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate



@dataclass(frozen=UpperCAmelCase_     )
class   __lowercase    (			UpperCAmelCase_     ):




			"""simple docstring"""







			_UpperCAmelCase       :							str      							=					field(default='''summarization'''		,	metadata={'''include_in_asdict_even_if_is_default''': True}     )
			_UpperCAmelCase       :							ClassVar[Features]      							=					Features({'''text''': Value('''string'''     )}     )
			_UpperCAmelCase       :							ClassVar[Features]      							=					Features({'''summary''': Value('''string'''     )}     )
			_UpperCAmelCase       :							str      							=					"text"
			_UpperCAmelCase       :							str      							=					"summary"



			@property
			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]):
									return {self.text_column: "text", self.summary_column: "summary"}









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							:  Optional[Any]            =						50003
lowerCAmelCase							:  List[str]            =						50002



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




			"""simple docstring"""







			_UpperCAmelCase       :							int      							=					PLBartTokenizer
			_UpperCAmelCase       :							Any      							=					None
			_UpperCAmelCase       :							Optional[Any]      							=					False



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									super().setUp()

									# We have a SentencePiece fixture for testing
									SCREAMING_SNAKE_CASE_:			Tuple  		=	PLBartTokenizer(lowerCAmelCase__       ,						language_codes="base"       ,						keep_accents=lowerCAmelCase__)
									tokenizer.save_pretrained(self.tmpdirname)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	PLBartTokenizer(lowerCAmelCase__       ,						language_codes="base"       ,						keep_accents=lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:			Dict  		=	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 [285, 46, 10, 170, 382]]       ,						)

									SCREAMING_SNAKE_CASE_:			List[Any]  		=	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",
									        ".",
									    ]       ,						)
									SCREAMING_SNAKE_CASE_:			str  		=	tokenizer.convert_tokens_to_ids(lowerCAmelCase__)
									self.assertListEqual(
									    lowerCAmelCase__       ,						[
									        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_:			Optional[Any]  		=	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>",
									        ".",
									    ]       ,						)

									SCREAMING_SNAKE_CASE_:			int  		=	tokenizer.vocab_size
									SCREAMING_SNAKE_CASE_:			Tuple  		=	[tokenizer.convert_ids_to_tokens(lowerCAmelCase__) for x in range(end - 4       ,						lowerCAmelCase__)]

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

									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	"java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	tokenizer(lowerCAmelCase__).input_ids
									self.assertEqual(
									    tokenizer.decode(lowerCAmelCase__       ,						skip_special_tokens=lowerCAmelCase__       ,						clean_up_tokenization_spaces=lowerCAmelCase__)       ,						lowerCAmelCase__       ,						)




			def 	_SCREAMING_SNAKE_CASE      (			self  :					Union[str, Any]):
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	PLBartTokenizer(lowerCAmelCase__       ,						language_codes="multi"       ,						keep_accents=lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:			str  		=	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 [285, 46, 10, 170, 382]]       ,						)

									SCREAMING_SNAKE_CASE_:			Tuple  		=	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",
									        ".",
									    ]       ,						)
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	tokenizer.convert_tokens_to_ids(lowerCAmelCase__)
									self.assertListEqual(
									    lowerCAmelCase__       ,						[
									        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_:			Optional[int]  		=	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>",
									        ".",
									    ]       ,						)
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	tokenizer.vocab_size
									SCREAMING_SNAKE_CASE_:			int  		=	[tokenizer.convert_ids_to_tokens(lowerCAmelCase__) for x in range(end - 7       ,						lowerCAmelCase__)]

									self.assertListEqual(
									    lowerCAmelCase__       ,						["__java__", "__python__", "__en_XX__", "__javascript__", "__php__", "__ruby__", "__go__"])
									SCREAMING_SNAKE_CASE_:			str  		=	"java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
									SCREAMING_SNAKE_CASE_:			Tuple  		=	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   __lowercase    (			unittest.TestCase     ):




			"""simple docstring"""







			_UpperCAmelCase       :							Optional[Any]      							=					'''uclanlp/plbart-python-en_XX'''
			_UpperCAmelCase       :							List[str]      							=					[
			    '''def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])''',
			    '''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''',
			]
			_UpperCAmelCase       :							int      							=					[
			    '''Returns the maximum value of a b c.''',
			    '''Sums the values of a b c.''',
			]
			_UpperCAmelCase       :							Optional[Any]      							=					[
			    134,
			    5452,
			    3_3460,
			    3_3441,
			    3_3463,
			    3_3465,
			    3_3463,
			    3_3449,
			    988,
			    20,
			    3_3456,
			    19,
			    3_3456,
			    771,
			    39,
			    4258,
			    889,
			    3318,
			    3_3441,
			    3_3463,
			    3_3465,
			    3_3463,
			    3_3449,
			    2471,
			    2,
			    PYTHON_CODE,
			]



			@classmethod
			def 	_SCREAMING_SNAKE_CASE      (			cls  :					Dict):
									SCREAMING_SNAKE_CASE_:			PLBartTokenizer  		=	PLBartTokenizer.from_pretrained(
									    cls.checkpoint_name       ,						language_codes="base"       ,						src_lang="python"       ,						tgt_lang="en_XX")
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	1
									return cls



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]):
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__java__"]       ,						5_0001)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__python__"]       ,						5_0002)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__en_XX__"]       ,						5_0003)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[Any]):
									SCREAMING_SNAKE_CASE_:			Dict  		=	self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
									self.assertListEqual(self.expected_src_tokens       ,						lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Dict):
									self.assertIn(lowerCAmelCase__       ,						self.tokenizer.all_special_ids)
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	[EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
									SCREAMING_SNAKE_CASE_:			int  		=	self.tokenizer.decode(lowerCAmelCase__       ,						skip_special_tokens=lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	self.tokenizer.decode(generated_ids[1:]       ,						skip_special_tokens=lowerCAmelCase__)
									self.assertEqual(lowerCAmelCase__       ,						lowerCAmelCase__)
									self.assertNotIn(self.tokenizer.eos_token       ,						lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			List[str]  		=	["def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])" * 20]
									self.assertIsInstance(src_text[0]       ,						lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	10
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple):
									self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "__java__"])       ,						[5_0004, 5_0001])



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	tempfile.mkdtemp()
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			int  		=	PLBartTokenizer.from_pretrained(lowerCAmelCase__)
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids       ,						lowerCAmelCase__)



			@require_torch
			def 	_SCREAMING_SNAKE_CASE      (			self  :					int):
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	self.tokenizer(self.src_text       ,						text_target=self.tgt_text       ,						padding=lowerCAmelCase__       ,						return_tensors="pt")
									SCREAMING_SNAKE_CASE_:			Any  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	self.tokenizer(
									    self.src_text       ,						text_target=self.tgt_text       ,						padding=lowerCAmelCase__       ,						truncation=lowerCAmelCase__       ,						max_length=len(self.expected_src_tokens)       ,						return_tensors="pt"       ,						)
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	shift_tokens_right(batch["labels"]       ,						self.tokenizer.pad_token_id)

									self.assertIsInstance(lowerCAmelCase__       ,						lowerCAmelCase__)

									self.assertEqual((2, 26)       ,						batch.input_ids.shape)
									self.assertEqual((2, 26)       ,						batch.attention_mask.shape)
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[Any]):
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	self.tokenizer(self.src_text       ,						padding=lowerCAmelCase__       ,						truncation=lowerCAmelCase__       ,						max_length=3       ,						return_tensors="pt")
									SCREAMING_SNAKE_CASE_:			Any  		=	self.tokenizer(
									    text_target=self.tgt_text       ,						padding=lowerCAmelCase__       ,						truncation=lowerCAmelCase__       ,						max_length=10       ,						return_tensors="pt")
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	targets["input_ids"]
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	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]       ,						10)




			@require_torch
			def 	_SCREAMING_SNAKE_CASE      (			self  :					int):
									SCREAMING_SNAKE_CASE_:			List[str]  		=	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": [[150, 242, 2, 5_0003]],
									        "attention_mask": [[1, 1, 1, 1]],
									        # java
									        "forced_bos_token_id": 5_0001,
									    }       ,						)






