
'''simple docstring'''
import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCAmelCase												=	get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')


@require_sentencepiece
@require_tokenizers
class       _lowerCAmelCase   (   __snake_case					,							unittest.TestCase				):







							'''simple docstring'''

							lowerCAmelCase_ 						=						GPTSwaTokenizer
							lowerCAmelCase_ 						=						False
							lowerCAmelCase_ 						=						True
							lowerCAmelCase_ 						=						False

							def 	lowercase							(self  ):
														super().setUp()

														# We have a SentencePiece fixture for testing
														_snake_case       =  GPTSwaTokenizer(UpperCAmelCase  ,  eos_token="""<unk>"""  ,  bos_token="""<unk>"""  ,  pad_token="""<unk>"""  )

														tokenizer.save_pretrained(self.tmpdirname  )

							def 	lowercase							(self  ,  UpperCAmelCase  ):
														_snake_case       =  """This is a test"""
														_snake_case       =  """This is a test"""
														return input_text, output_text

							def 	lowercase							(self  ):
														_snake_case       =  """<s>"""
														_snake_case       =  1

														self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase  )  ,  UpperCAmelCase  )
														self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase  )  ,  UpperCAmelCase  )

							def 	lowercase							(self  ):
														_snake_case       =  list(self.get_tokenizer().get_vocab().keys()  )

														self.assertEqual(vocab_keys[0]  ,  """<unk>"""  )
														self.assertEqual(vocab_keys[1]  ,  """<s>"""  )
														self.assertEqual(vocab_keys[-1]  ,  """j"""  )
														self.assertEqual(len(UpperCAmelCase  )  ,  2000  )

							def 	lowercase							(self  ):
														self.assertEqual(self.get_tokenizer().vocab_size  ,  2000  )

							def 	lowercase							(self  ):
														_snake_case       =  GPTSwaTokenizer(UpperCAmelCase  )

														_snake_case       =  tokenizer.tokenize("""This is a test"""  )
														self.assertListEqual(UpperCAmelCase  ,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]  )

														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase  )  ,  [465, 287, 265, 631, 842]  )

														_snake_case       =  tokenizer.tokenize("""I was born in 92000, and this is falsé."""  )
														# fmt: off
														self.assertListEqual(
														    UpperCAmelCase  ,  ["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]  ,  )
														# fmt: on

														_snake_case       =  tokenizer.convert_tokens_to_ids(UpperCAmelCase  )
														self.assertListEqual(
														    UpperCAmelCase  ,  [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]  ,  )

														_snake_case       =  tokenizer.convert_ids_to_tokens(UpperCAmelCase  )
														# fmt: off
														self.assertListEqual(
														    UpperCAmelCase  ,  ["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]  )
														# fmt: on

							def 	lowercase							(self  ):
														_snake_case       =  GPTSwaTokenizer(UpperCAmelCase  )
														_snake_case       =  ["""This is a test""", """I was born in 92000, and this is falsé."""]
														_snake_case       =  [
														    [465, 287, 265, 631, 842],
														    [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
														]

														# Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
														for text, expected_ids in zip(UpperCAmelCase  ,  UpperCAmelCase  ):
																					self.assertListEqual(tokenizer.encode_fast(UpperCAmelCase  )  ,  UpperCAmelCase  )

														# Test that decode_fast returns the input text
														for text, token_ids in zip(UpperCAmelCase  ,  UpperCAmelCase  ):
																					self.assertEqual(tokenizer.decode_fast(UpperCAmelCase  )  ,  UpperCAmelCase  )





							@slow
							def 	lowercase							(self  ):
														_snake_case       =  [
														    """<|python|>def fibonacci(n)\n    if n < 0:\n        print('Incorrect input')""",
														    """Hey there, how are you doing this fine day?""",
														    """This is a text with a trailing spaces followed by a dot     .""",
														    """Häj sväjs lillebrör! =)""",
														    """Det är inget fel på Mr. Cool""",
														]

														# fmt: off
														_snake_case       =  {"""input_ids""": [[63423, 5, 6811, 14954, 282, 816, 3821, 63466, 63425, 63462, 18, 63978, 678, 301, 1320, 63423, 63455, 63458, 18, 63982, 4246, 3940, 1901, 47789, 5547, 18994], [19630, 1100, 63446, 1342, 633, 544, 4488, 593, 5102, 2416, 63495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 58593, 22413, 9106, 546, 268, 33213, 63979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [55130, 63450, 924, 63449, 2249, 4062, 1558, 318, 63504, 21498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 63443, 26801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
														# fmt: on
														self.tokenizer_integration_test_util(
														    expected_encoding=UpperCAmelCase  ,  model_name="""AI-Sweden/gpt-sw3-126m"""  ,  sequences=UpperCAmelCase  ,  )

'''simple docstring'''
import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey


class       _lowerCAmelCase   :







							'''simple docstring'''

							def __init__(self  ,  UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  )					->       List[str]:
														if dst_width < 0 or dst_height < 0:
																					raise ValueError("""Destination width/height should be > 0"""  )

														_snake_case       =  img
														_snake_case       =  img.shape[1]
														_snake_case       =  img.shape[0]
														_snake_case       =  dst_width
														_snake_case       =  dst_height

														_snake_case       =  self.src_w / self.dst_w
														_snake_case       =  self.src_h / self.dst_h

														_snake_case       =  _snake_case       =  (
														    np.ones((self.dst_h, self.dst_w, 3)  ,  np.uinta  ) * 255
														)

							def 	lowercase							(self  )					->       List[Any]:
														for i in range(self.dst_h  ):
																					for j in range(self.dst_w  ):
																												_snake_case       =  self.img[self.get_y(UpperCAmelCase  )][self.get_x(UpperCAmelCase  )]

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       int:
														return int(self.ratio_x * x  )





							def 	lowercase							(self  ,  UpperCAmelCase  )					->       int:
														return int(self.ratio_y * y  )


if __name__ == "__main__":
				__lowerCAmelCase							,    __lowerCAmelCase												=	800, 600
				__lowerCAmelCase												=	imread('image_data/lena.jpg', 1)
				__lowerCAmelCase												=	NearestNeighbour(im, dst_w, dst_h)
				n.process()

				imshow(
				    f'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
				)
				waitKey(0)
				destroyAllWindows()