


'''simple docstring'''



from cva import destroyAllWindows, imread, imshow, waitKey







def     _UpperCamelCase      (		UpperCamelCase__					):

			'''simple docstring'''





			UpperCAmelCase__  :					List[Any]        =     img.shape[0], img.shape[1]

			# converting each pixel's color to its negative
			for i in range(UpperCamelCase__					):
						for j in range(UpperCamelCase__					):
									UpperCAmelCase__  :					Tuple        =     [2_5_5, 2_5_5, 2_5_5] - img[i][j]

			return img


if __name__ == "__main__":
		# read original image
		__A	=imread('image_data/lena.jpg', 1)

		# convert to its negative
		__A	=convert_to_negative(img)

		# show result image
		imshow('negative of original image', img)
		waitKey(0)
		destroyAllWindows()



'''simple docstring'''



import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
		import jax.numpy as jnp

		from transformers import FlaxXLMRobertaModel


@require_sentencepiece
@require_tokenizers
@require_flax
class 		_snake_case					(     unittest.TestCase	):




					@slow
					def 				snake_case__						(      self):
								UpperCAmelCase__  :					Union[str, Any]        =     FlaxXLMRobertaModel.from_pretrained("""xlm-roberta-base""")
								UpperCAmelCase__  :					List[str]        =     AutoTokenizer.from_pretrained("""xlm-roberta-base""")
								UpperCAmelCase__  :					Dict        =     """The dog is cute and lives in the garden house"""
								UpperCAmelCase__  :					Dict        =     jnp.array([tokenizer.encode(_lowerCamelCase)])

								UpperCAmelCase__  :					int        =     (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
								UpperCAmelCase__  :					Any        =     jnp.array(
								    [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]])

								UpperCAmelCase__  :					Any        =     model(_lowerCamelCase)["""last_hidden_state"""]
								self.assertEqual(output.shape							,							_lowerCamelCase)
								# compare the actual values for a slice of last dim
								self.assertTrue(jnp.allclose(output[:, :, -1]							,							_lowerCamelCase							,							atol=1e-3))