

'''simple docstring'''

import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device


if is_torch_available():
						import torch

						from transformers import XLMProphetNetForConditionalGeneration, XLMProphetNetTokenizer







@require_torch
class lowerCamelCase   (    unittest.TestCase				):

				@slow
				def 					_lowerCamelCase    (       self )    ->							Optional[int]:
					snake_case							=					XLMProphetNetForConditionalGeneration.from_pretrained('microsoft/xprophetnet-large-wiki100-cased' )
					model.to(lowercase_ )

					# encoder-decoder outputs
					snake_case							=					torch.tensor([[17, 96208, 103471, 2]] ).to(lowercase_ )
					snake_case							=					torch.tensor(
					    [[2, 250, 9953, 34, 69489, 1620, 32, 118424, 624, 210, 105, 2913, 1032, 351]] ).to(lowercase_ )
					snake_case							=					model(
					    input_ids=lowercase_,						attention_mask=lowercase_,						encoder_outputs=lowercase_,						decoder_input_ids=lowercase_ )
					snake_case							=					output[0]
					snake_case							=					torch.Size((1, 14, 250012) )
					self.assertEqual(output_predited_logis.shape,						lowercase_ )
					snake_case							=					torch.tensor(
					    [[[-6.3_986, -8.2_391, 12.5_189], [-6.3_289, -8.0_864, 12.6_211], [-6.2_418, -8.0_445, 12.7_968]]] ).to(lowercase_ )
					self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3],						lowercase_,						atol=1E-4 ) )

					# encoder outputs
					snake_case							=					model.prophetnet.encoder(lowercase_ )[0]
					snake_case							=					torch.tensor(
					    [[[-1.4_260, -0.7_628, 0.8_453], [-1.4_719, -0.1_391, 0.7_807], [-1.7_678, 0.0_114, 0.4_646]]] ).to(lowercase_ )
					snake_case							=					torch.Size((1, 4, 1024) )
					self.assertEqual(encoder_outputs.shape,						lowercase_ )
					self.assertTrue(torch.allclose(encoder_outputs[:, :3, :3],						lowercase_,						atol=1E-4 ) )

					# decoder outputs
					snake_case							=					model.prophetnet.decoder(
					    lowercase_,						encoder_hidden_states=lowercase_,						)
					snake_case							=					decoder_outputs[1].view(1,						model.config.ngram,						14,						-1 )
					snake_case							=					model.lm_head(lowercase_ )
					snake_case							=					predicting_streams_logits[:, 0]
					self.assertTrue(torch.allclose(next_first_stream_logits[:, :3, :3],						lowercase_,						atol=1E-4 ) )

				@slow
				def 					_lowerCamelCase    (       self )    ->							str:
					snake_case							=					XLMProphetNetForConditionalGeneration.from_pretrained(
					    'microsoft/xprophetnet-large-wiki100-cased-xglue-ntg' )
					model.to(lowercase_ )

					snake_case							=					torch.tensor([[17, 96208, 103471, 2]] ).to(lowercase_ )
					snake_case							=					torch.tensor(
					    [[2, 250, 9953, 34, 69489, 1620, 32, 118424, 624, 210, 105, 2913, 1032, 351]] ).to(lowercase_ )
					snake_case							=					model(
					    input_ids=lowercase_,						attention_mask=lowercase_,						encoder_outputs=lowercase_,						decoder_input_ids=lowercase_ )
					snake_case							=					output[0]
					snake_case							=					torch.Size((1, 14, 250012) )
					self.assertEqual(output_predited_logis.shape,						lowercase_ )
					# compare the actual values for a slice.
					snake_case							=					torch.tensor(
					    [[[-9.2_253, -9.7_173, -6.3_529], [-7.6_701, -9.0_145, -1.9_382], [-8.0_195, -7.0_004, -0.1_523]]] ).to(lowercase_ )

					self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3],						lowercase_,						atol=1E-4 ) )






				@slow
				def 					_lowerCamelCase    (       self )    ->							int:
					snake_case							=					XLMProphetNetForConditionalGeneration.from_pretrained(
					    'microsoft/xprophetnet-large-wiki100-cased-xglue-ntg' )
					model.to(lowercase_ )
					snake_case							=					512

					snake_case							=					XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased-xglue-ntg' )

					snake_case							=					(
					    'Microsoft Corporation intends to officially end free support for the Windows 7 operating system after'
					    ' January 14, 2020, according to the official portal of the organization. From that day, users of this'
					    ' system will not be able to receive security updates, which could make their computers vulnerable to'
					    ' cyber attacks.'
					)
					snake_case							=					(
					    'орпорация Microsoft намерена официально прекратить бесплатную поддержку операционной системы Windows 7'
					    ' после 14 января 2020 года, сообщается на официальном портале организации . С указанного дня пользователи'
					    ' этой системы не смогут получать обновления безопасности, из-за чего их компьютеры могут стать уязвимыми'
					    ' к кибератакам.'
					)
					snake_case							=					(
					    '根据该组织的官方门户网站，微软公司打算在2020年1月14日之后正式终止对Windows 7操作系统的免费支持。从那时起，该系统的用户将无法接收安全更新，这可能会使他们的计算机容易受到网络攻击。'
					)

					snake_case							=					tokenizer(
					    [EN_SENTENCE, RU_SENTENCE, ZH_SENTENCE],						padding=lowercase_,						max_length=255,						return_tensors='pt' ).input_ids
					snake_case							=					input_ids.to(lowercase_ )

					snake_case							=					model.generate(
					    lowercase_,						num_beams=10,						length_penalty=1.0,						no_repeat_ngram_size=3,						early_stopping=lowercase_ )
					snake_case							=					[tokenizer.decode(lowercase_,						skip_special_tokens=lowercase_ ) for g in summary_ids]
					snake_case							=					'Microsoft to end Windows 7 free support after January 14, 2020'
					snake_case							=					'Microsoft намерена прекратить бесплатную поддержку Windows 7 после 14 января 2020 года'
					snake_case							=					'微软打算终止对Windows 7操作系统的免费支持'
					self.assertListEqual(
					    [EXPECTED_TITLE_EN, EXPECTED_TITLE_RU, EXPECTED_TITLE_ZH],						lowercase_,						)

					snake_case							=					model.generate(
					    lowercase_,						num_beams=1,						length_penalty=1.0,						no_repeat_ngram_size=3,						early_stopping=lowercase_ )
					snake_case							=					[
					    tokenizer.convert_ids_to_tokens(lowercase_,						skip_special_tokens=lowercase_ ) for g in summary_ids_beama
					]
					snake_case							=					'▁Microsoft ▁to ▁end ▁free ▁support ▁for ▁Windows ▁7'.split(' ' )
					snake_case							=					'▁Microsoft ▁намерен а ▁прекрати ть ▁бес плат ную ▁поддержку ▁Windows ▁7 ▁после ▁14 ▁января ▁2020 ▁года'.split(
					    ' ' )
					snake_case							=					'微软 公司 打算 终止 对 Windows ▁7 操作 系统的 免费 支持'.split(' ' )
					self.assertListEqual(
					    [EXPECTED_TITLE_EN_BEAM1_TOK, EXPECTED_TITLE_RU_BEAM1_TOK, EXPECTED_TITLE_ZH_BEAM1_TOK],						lowercase_,						)











import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__lowerCamelCase :    List[Any]      						=      logging.get_logger(__name__)

__lowerCamelCase :    Optional[int]      						=      {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase :    List[Any]      						=      {
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

__lowerCamelCase :    int      						=      {
    '''microsoft/mpnet-base''': 5_12,
}

__lowerCamelCase :    Union[str, Any]      						=      {
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}


class  lowerCamelCase     (		_lowerCamelCase    ):






			'''simple docstring'''





			UpperCamelCase__										=VOCAB_FILES_NAMES
			UpperCamelCase__										=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__										=PRETRAINED_INIT_CONFIGURATION
			UpperCamelCase__										=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__										=MPNetTokenizer
			UpperCamelCase__										=['''input_ids''', '''attention_mask''']

			def __init__(			self      : Optional[int]							,    lowerCamelCase_      : List[str]=None							,    lowerCamelCase_      : int=None							,    lowerCamelCase_      : Dict=True							,    lowerCamelCase_      : int="<s>"							,    lowerCamelCase_      : Dict="</s>"							,    lowerCamelCase_      : int="</s>"							,    lowerCamelCase_      : List[Any]="<s>"							,    lowerCamelCase_      : Union[str, Any]="[UNK]"							,    lowerCamelCase_      : Any="<pad>"							,    lowerCamelCase_      : Dict="<mask>"							,    lowerCamelCase_      : Optional[Any]=True							,    lowerCamelCase_      : List[Any]=None							,    **lowerCamelCase_      : List[Any]							,    )    -> Dict:
								super().__init__(
								    lowerCamelCase_							,    tokenizer_file=lowerCamelCase_							,    do_lower_case=lowerCamelCase_							,    bos_token=lowerCamelCase_							,    eos_token=lowerCamelCase_							,    sep_token=lowerCamelCase_							,    cls_token=lowerCamelCase_							,    unk_token=lowerCamelCase_							,    pad_token=lowerCamelCase_							,    mask_token=lowerCamelCase_							,    tokenize_chinese_chars=lowerCamelCase_							,    strip_accents=lowerCamelCase_							,    **lowerCamelCase_							,    )

								__magic_name__				:						Any     				=				json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
								if (
								    pre_tok_state.get('''lowercase'''							,    lowerCamelCase_	) != do_lower_case
								    or pre_tok_state.get('''strip_accents'''							,    lowerCamelCase_	) != strip_accents
								):
													__magic_name__				:						int     				=				getattr(lowerCamelCase_							,    pre_tok_state.pop('''type'''	)	)
													__magic_name__				:						str     				=				do_lower_case
													__magic_name__				:						Union[str, Any]     				=				strip_accents
													__magic_name__				:						str     				=				pre_tok_class(**lowerCamelCase_	)

								__magic_name__				:						List[Any]     				=				do_lower_case

			@property
			def 				UpperCAmelCase__							(			self      : str	)    -> str:
								if self._mask_token is None:
													if self.verbose:
																		logger.error('''Using mask_token, but it is not set yet.'''	)
													return None
								return str(self._mask_token	)

			@mask_token.setter
			def 				UpperCAmelCase__							(			self      : Any							,    lowerCamelCase_      : List[str]	)    -> Optional[int]:
								__magic_name__				:						List[str]     				=				AddedToken(lowerCamelCase_							,    lstrip=lowerCamelCase_							,    rstrip=lowerCamelCase_	) if isinstance(lowerCamelCase_							,    lowerCamelCase_	) else value
								__magic_name__				:						Tuple     				=				value

			def 				UpperCAmelCase__							(			self      : str							,    lowerCamelCase_      : Optional[Any]							,    lowerCamelCase_      : Any=None	)    -> List[Any]:
								__magic_name__				:						Optional[int]     				=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
								if token_ids_a is None:
													return output

								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]

			def 				UpperCAmelCase__							(			self      : List[str]							,    lowerCamelCase_      : List[int]							,    lowerCamelCase_      : Optional[List[int]] = None	)    -> List[int]:
								__magic_name__				:						Tuple     				=				[self.sep_token_id]
								__magic_name__				:						Any     				=				[self.cls_token_id]

								if token_ids_a is None:
													return len(cls + token_ids_a + sep	) * [0]
								return len(cls + token_ids_a + sep + sep + token_ids_a + sep	) * [0]


			def 				UpperCAmelCase__							(			self      : Optional[int]							,    lowerCamelCase_      : str							,    lowerCamelCase_      : Optional[str] = None	)    -> Tuple[str]:
								__magic_name__				:						List[Any]     				=				self._tokenizer.model.save(lowerCamelCase_							,    name=lowerCamelCase_	)
								return tuple(lowerCamelCase_	)



