
'''simple docstring'''







import unittest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    SummarizationPipeline,
    TFPreTrainedModel,
    pipeline,
)
from transformers.testing_utils import get_gpu_count, is_pipeline_test, require_tf, require_torch, slow, torch_device
from transformers.tokenization_utils import TruncationStrategy

from .test_pipelines_common import ANY


_lowerCamelCase							:		Any										=						-1 if torch_device == 'cpu' else 0





@is_pipeline_test
class   lowerCamelCase_							( unittest.TestCase							):




					'''simple docstring'''






					lowercase__					=				MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
					lowercase__					=				TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase,						__UpperCamelCase				):
							_snake_case			 = SummarizationPipeline(model=__UpperCamelCase,						tokenizer=__UpperCamelCase				)
							return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase				):
							_snake_case			 = summarizer.model

							_snake_case			 = summarizer("(CNN)The Palestinian Authority officially became"				)
							self.assertEqual(__UpperCamelCase,						[{"summary_text": ANY(__UpperCamelCase				)}]				)

							_snake_case			 = summarizer(
							    "(CNN)The Palestinian Authority officially became ",						num_beams=2,						min_length=2,						max_length=5,						)
							self.assertEqual(__UpperCamelCase,						[{"summary_text": ANY(__UpperCamelCase				)}]				)

							# Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
							_snake_case			 = [
							    "SwitchTransformersConfig",
							    "T5Config",
							    "LongT5Config",
							    "LEDConfig",
							    "PegasusXConfig",
							    "FSMTConfig",
							    "M2M100Config",
							    "ProphetNetConfig",  # positional embeddings up to a fixed maximum size (otherwise clamping the values)
							]
							if model.config.__class__.__name__ not in model_can_handle_longer_seq:
									# Too long and exception is expected.
									# For TF models, if the weights are initialized in GPU context, we won't get expected index error from
									# the embedding layer.
									if not (
									    isinstance(__UpperCamelCase,						__UpperCamelCase				)
									    and get_gpu_count() > 0
									    and len(summarizer.model.trainable_weights				) > 0
									):
											with self.assertRaises(__UpperCamelCase				):
													_snake_case			 = summarizer("This " * 1_000				)
							_snake_case			 = summarizer("This " * 1_000,						truncation=TruncationStrategy.ONLY_FIRST				)






					@require_torch
					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = pipeline(task="summarization",						model="sshleifer/tiny-mbart",						framework="pt"				)
							_snake_case			 = summarizer("This is a small test"				)
							self.assertEqual(
							    __UpperCamelCase,						[
							        {
							            "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
							        }
							    ],						)






					@require_tf
					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = pipeline(task="summarization",						model="sshleifer/tiny-mbart",						framework="tf"				)
							_snake_case			 = summarizer("This is a small test"				)
							self.assertEqual(
							    __UpperCamelCase,						[
							        {
							            "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
							        }
							    ],						)






					@require_torch
					@slow
					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = pipeline(task="summarization",						device=__UpperCamelCase				)
							_snake_case			 = (
							    " (CNN)The Palestinian Authority officially became the 123rd member of the International Criminal Court on"
							    " Wednesday, a step that gives the court jurisdiction over alleged crimes in Palestinian territories. The"
							    " formal accession was marked with a ceremony at The Hague, in the Netherlands, where the court is based."
							    " The Palestinians signed the ICC's founding Rome Statute in January, when they also accepted its"
							    " jurisdiction over alleged crimes committed \"in the occupied Palestinian territory, including East"
							    " Jerusalem, since June 13, 2014.\" Later that month, the ICC opened a preliminary examination into the"
							    " situation in Palestinian territories, paving the way for possible war crimes investigations against"
							    " Israelis. As members of the court, Palestinians may be subject to counter-charges as well. Israel and"
							    " the United States, neither of which is an ICC member, opposed the Palestinians' efforts to join the"
							    " body. But Palestinian Foreign Minister Riad al-Malki, speaking at Wednesday's ceremony, said it was a"
							    " move toward greater justice. \"As Palestine formally becomes a State Party to the Rome Statute today, the"
							    " world is also a step closer to ending a long era of impunity and injustice,\" he said, according to an"
							    " ICC news release. \"Indeed, today brings us closer to our shared goals of justice and peace.\" Judge"
							    " Kuniko Ozaki, a vice president of the ICC, said acceding to the treaty was just the first step for the"
							    " Palestinians. \"As the Rome Statute today enters into force for the State of Palestine, Palestine"
							    " acquires all the rights as well as responsibilities that come with being a State Party to the Statute."
							    " These are substantive commitments, which cannot be taken lightly,\" she said. Rights group Human Rights"
							    " Watch welcomed the development. \"Governments seeking to penalize Palestine for joining the ICC should"
							    " immediately end their pressure, and countries that support universal acceptance of the court's treaty"
							    " should speak out to welcome its membership,\" said Balkees Jarrah, international justice counsel for the"
							    " group. \"What's objectionable is the attempts to undermine international justice, not Palestine's"
							    " decision to join a treaty to which over 100 countries around the world are members.\" In January, when"
							    " the preliminary ICC examination was opened, Israeli Prime Minister Benjamin Netanyahu described it as an"
							    " outrage, saying the court was overstepping its boundaries. The United States also said it \"strongly\""
							    " disagreed with the court's decision. \"As we have said repeatedly, we do not believe that Palestine is a"
							    " state and therefore we do not believe that it is eligible to join the ICC,\" the State Department said in"
							    " a statement. It urged the warring sides to resolve their differences through direct negotiations. \"We"
							    " will continue to oppose actions against Israel at the ICC as counterproductive to the cause of peace,\""
							    " it said. But the ICC begs to differ with the definition of a state for its purposes and refers to the"
							    " territories as \"Palestine.\" While a preliminary examination is not a formal investigation, it allows the"
							    " court to review evidence and determine whether to investigate suspects on both sides. Prosecutor Fatou"
							    " Bensouda said her office would \"conduct its analysis in full independence and impartiality.\" The war"
							    " between Israel and Hamas militants in Gaza last summer left more than 2,000 people dead. The inquiry"
							    " will include alleged war crimes committed since June. The International Criminal Court was set up in"
							    " 2002 to prosecute genocide, crimes against humanity and war crimes. CNN's Vasco Cotovio, Kareem Khadder"
							    " and Faith Karimi contributed to this report."
							)
							_snake_case			 = (
							    " The Palestinian Authority becomes the 123rd member of the International Criminal Court . The move gives"
							    " the court jurisdiction over alleged crimes in Palestinian territories . Israel and the United States"
							    " opposed the Palestinians' efforts to join the court . Rights group Human Rights Watch welcomes the move,"
							    " says governments seeking to penalize Palestine should end pressure ."
							)
							_snake_case			 = summarizer(__UpperCamelCase				)
							self.assertEqual(result[0]["summary_text"],						__UpperCamelCase				)











'''simple docstring'''







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							:		int										=						logging.get_logger(__name__)

_lowerCamelCase							:		Any										=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase							:		Dict										=						{
    '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							:		List[str]										=						{
    'microsoft/mpnet-base': 512,
}

_lowerCamelCase							:		Tuple										=						{
    'microsoft/mpnet-base': {'do_lower_case': True},
}





class   lowerCamelCase_							( UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__					=				VOCAB_FILES_NAMES
					lowercase__					=				PRETRAINED_VOCAB_FILES_MAP
					lowercase__					=				PRETRAINED_INIT_CONFIGURATION
					lowercase__					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__					=				MPNetTokenizer
					lowercase__					=				["""input_ids""", """attention_mask"""]






					def __init__(					self,						__UpperCamelCase=None,						__UpperCamelCase=None,						__UpperCamelCase=True,						__UpperCamelCase="<s>",						__UpperCamelCase="</s>",						__UpperCamelCase="</s>",						__UpperCamelCase="<s>",						__UpperCamelCase="[UNK]",						__UpperCamelCase="<pad>",						__UpperCamelCase="<mask>",						__UpperCamelCase=True,						__UpperCamelCase=None,						**__UpperCamelCase,						):
							super().__init__(
							    __UpperCamelCase,						tokenizer_file=__UpperCamelCase,						do_lower_case=__UpperCamelCase,						bos_token=__UpperCamelCase,						eos_token=__UpperCamelCase,						sep_token=__UpperCamelCase,						cls_token=__UpperCamelCase,						unk_token=__UpperCamelCase,						pad_token=__UpperCamelCase,						mask_token=__UpperCamelCase,						tokenize_chinese_chars=__UpperCamelCase,						strip_accents=__UpperCamelCase,						**__UpperCamelCase,						)

							_snake_case			 = json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
							if (
							    pre_tok_state.get("lowercase",						__UpperCamelCase				) != do_lower_case
							    or pre_tok_state.get("strip_accents",						__UpperCamelCase				) != strip_accents
							):
									_snake_case			 = getattr(__UpperCamelCase,						pre_tok_state.pop("type"				)				)
									_snake_case			 = do_lower_case
									_snake_case			 = strip_accents
									_snake_case			 = pre_tok_class(**__UpperCamelCase				)

							_snake_case			 = do_lower_case






					@property
					def        __SCREAMING_SNAKE_CASE			(					self				):
							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        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
							_snake_case			 = AddedToken(__UpperCamelCase,						lstrip=__UpperCamelCase,						rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase,						__UpperCamelCase				) else value
							_snake_case			 = value






					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase=None				):
							_snake_case			 = [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        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
							_snake_case			 = [self.sep_token_id]
							_snake_case			 = [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        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase,						__UpperCamelCase = None				):
							_snake_case			 = self._tokenizer.model.save(__UpperCamelCase,						name=__UpperCamelCase				)
							return tuple(__UpperCamelCase				)





