
'''simple docstring'''
import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar


class       _lowerCAmelCase   (   unittest.TestCase				):







							'''simple docstring'''

							def 	lowercase							(self  )					->       Union[str, Any]:
														_snake_case       =  logging.get_logger()

														# the current default level is logging.WARNING
														_snake_case       =  logging.get_verbosity()

														logging.set_verbosity_error()
														self.assertEqual(logger.getEffectiveLevel()  ,  logging.get_verbosity()  )

														logging.set_verbosity_warning()
														self.assertEqual(logger.getEffectiveLevel()  ,  logging.get_verbosity()  )

														logging.set_verbosity_info()
														self.assertEqual(logger.getEffectiveLevel()  ,  logging.get_verbosity()  )

														logging.set_verbosity_debug()
														self.assertEqual(logger.getEffectiveLevel()  ,  logging.get_verbosity()  )

														# restore to the original level
														logging.set_verbosity(UpperCAmelCase  )

							def 	lowercase							(self  )					->       Optional[Any]:
														_snake_case       =  logging.get_verbosity()

														_snake_case       =  logging.get_logger("""transformers.models.bart.tokenization_bart"""  )
														_snake_case       =  """Testing 1, 2, 3"""

														# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
														if level_origin <= logging.WARNING:
																					with CaptureLogger(UpperCAmelCase  ) as cl:
																												logger.warning(UpperCAmelCase  )
																					self.assertEqual(cl.out  ,  msg + """\n"""  )

														# this is setting the level for all of `transformers.*` loggers
														logging.set_verbosity_error()

														# should not be able to log warnings
														with CaptureLogger(UpperCAmelCase  ) as cl:
																					logger.warning(UpperCAmelCase  )
														self.assertEqual(cl.out  ,  """"""  )

														# should be able to log warnings again
														logging.set_verbosity_warning()
														with CaptureLogger(UpperCAmelCase  ) as cl:
																					logger.warning(UpperCAmelCase  )
														self.assertEqual(cl.out  ,  msg + """\n"""  )

														# restore to the original level
														logging.set_verbosity(UpperCAmelCase  )

							@mockenv(TRANSFORMERS_VERBOSITY="""error"""  )
							def 	lowercase							(self  )					->       Dict:
														# reset for the env var to take effect, next time some logger call is made
														transformers.utils.logging._reset_library_root_logger()
														# this action activates the env var
														_snake_case       =  logging.get_logger("""transformers.models.bart.tokenization_bart"""  )

														_snake_case       =  os.getenv("""TRANSFORMERS_VERBOSITY"""  ,  UpperCAmelCase  )
														_snake_case       =  logging.log_levels[env_level_str]

														_snake_case       =  logging.get_verbosity()
														self.assertEqual(
														    UpperCAmelCase  ,  UpperCAmelCase  ,  f"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""  ,  )

														# restore to the original level
														_snake_case       =  """"""
														transformers.utils.logging._reset_library_root_logger()

							@mockenv(TRANSFORMERS_VERBOSITY="""super-error"""  )
							def 	lowercase							(self  )					->       List[Any]:
														# reset for the env var to take effect, next time some logger call is made
														transformers.utils.logging._reset_library_root_logger()
														_snake_case       =  logging.logging.getLogger()
														with CaptureLogger(UpperCAmelCase  ) as cl:
																					# this action activates the env var
																					logging.get_logger("""transformers.models.bart.tokenization_bart"""  )
														self.assertIn("""Unknown option TRANSFORMERS_VERBOSITY=super-error"""  ,  cl.out  )

														# no need to restore as nothing was changed





							def 	lowercase							(self  )					->       Optional[int]:
														# testing `logger.warning_advice()`
														transformers.utils.logging._reset_library_root_logger()

														_snake_case       =  logging.get_logger("""transformers.models.bart.tokenization_bart"""  )
														_snake_case       =  """Testing 1, 2, 3"""

														with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="""1"""  ):
																					# nothing should be logged as env var disables this method
																					with CaptureLogger(UpperCAmelCase  ) as cl:
																												logger.warning_advice(UpperCAmelCase  )
																					self.assertEqual(cl.out  ,  """"""  )

														with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""""""  ):
																					# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
																					with CaptureLogger(UpperCAmelCase  ) as cl:
																												logger.warning_advice(UpperCAmelCase  )
																					self.assertEqual(cl.out  ,  msg + """\n"""  )






def  __SCREAMING_SNAKE_CASE				(  ):
							disable_progress_bar()
							assert are_progress_bars_disabled()

							enable_progress_bar()
							assert not are_progress_bars_disabled()

'''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()