


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:	Optional[int]      							=					-1 if torch_device == 'cpu' else 0




@is_pipeline_test
class 			lowercase_				(unittest.TestCase      ):
				snake_case  						=MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
				snake_case  						=TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING





				def 	__UpperCamelCase						(							self					,     lowercase_					,     lowercase_					,     lowercase_)     ->   int:
											a__     						=SummarizationPipeline(model=lowercase_					,     tokenizer=lowercase_)
											return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]





				def 	__UpperCamelCase						(							self					,     lowercase_					,     lowercase_)     ->   Optional[Any]:
											a__     						=summarizer.model

											a__     						=summarizer('(CNN)The Palestinian Authority officially became')
											self.assertEqual(lowercase_					,     [{'summary_text': ANY(lowercase_)}])

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

											# Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
											a__     						=[
											    '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(lowercase_					,     lowercase_)
																		    and get_gpu_count() > 0
																		    and len(summarizer.model.trainable_weights) > 0
																		):
																									with self.assertRaises(lowercase_):
																																a__     						=summarizer('This ' * 1000)
											a__     						=summarizer('This ' * 1000					,     truncation=TruncationStrategy.ONLY_FIRST)





				@require_torch
				def 	__UpperCamelCase						(							self)     ->   Optional[Any]:
											a__     						=pipeline(task='summarization'					,     model='sshleifer/tiny-mbart'					,     framework='pt')
											a__     						=summarizer('This is a small test')
											self.assertEqual(
											    lowercase_					,     [
											        {
											            'summary_text': 'เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป'
											        }
											    ]					,     )





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





				@require_torch
				@slow
				def 	__UpperCamelCase						(							self)     ->   int:
											a__     						=pipeline(task='summarization'					,     device=lowercase_)
											a__     						=(
											    ' (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.'
											)
											a__     						=(
											    ' 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 .'
											)
											a__     						=summarizer(lowercase_)
											self.assertEqual(result[0]['summary_text']					,     lowercase_)





import numpy as np
from PIL import Image






def      _lowercase(				__a							:	np.array    ):
							a__						,    a__						,    a__     						=rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
							return 0.29_89 * r + 0.58_70 * g + 0.11_40 * b






def      _lowercase(				__a							:	np.array    ):
							return (gray > 127) & (gray <= 255)






def      _lowercase(				__a							:	np.array						,    __a							:	np.array    ):
							a__     						=np.zeros_like(__a    )
							a__     						=np.zeros(
							    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)    )

							# Copy image to padded image
							a__     						=image

							# Iterate over image & apply kernel
							for x in range(image.shape[1]    ):
														for y in range(image.shape[0]    ):
																					a__     						=(
																					    kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
																					).sum()
																					a__     						=int(summation == 5    )
							return output


# kernel to be applied
_lowerCAmelCase:	Dict      							=					np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
	# read original image
	_lowerCAmelCase:	Optional[int]      							=					np.array(Image.open(R'..\image_data\lena.jpg'))
	# Apply erosion operation to a binary image
	_lowerCAmelCase:	Any      							=					erosion(grayabinary(rgbagray(image)), structuring_element)
	# Save the output image
	_lowerCAmelCase:	Dict      							=					Image.fromarray(output).convert('RGB')
	pil_img.save('result_erosion.png')

