
"""simple docstring"""


from __future__ import annotations



def        _lowerCamelCase(__UpperCamelCase			)							->					list[int]:
	if not list_of_ints:
		return []

	if min(__UpperCamelCase			) < 0:
		raise ValueError("""All numbers must be positive"""			)

	_lowerCAmelCase								=max(len(bin(__UpperCamelCase			)[2:]			) for x in list_of_ints			)
	return _msd_radix_sort(__UpperCamelCase       ,					__UpperCamelCase			)



def        _lowerCamelCase(__UpperCamelCase       ,					__UpperCamelCase			)							->					list[int]:
	if bit_position == 0 or len(__UpperCamelCase			) in [0, 1]:
		return list_of_ints

	_lowerCAmelCase								=[]
	_lowerCAmelCase								=[]
	# Split numbers based on bit at bit_position from the right
	for number in list_of_ints:
		if (number >> (bit_position - 1)) & 1:
			# number has a one at bit bit_position
			ones.append(__UpperCamelCase			)
		else:
			# number has a zero at bit bit_position
			zeros.append(__UpperCamelCase			)

    # recursively split both lists further
	_lowerCAmelCase								=_msd_radix_sort(__UpperCamelCase       ,					bit_position - 1			)
	_lowerCAmelCase								=_msd_radix_sort(__UpperCamelCase       ,					bit_position - 1			)

	# recombine lists
	_lowerCAmelCase								=zeros
	res.extend(__UpperCamelCase			)

	return res



def        _lowerCamelCase(__UpperCamelCase			)							->					str:
	_lowerCAmelCase								=len(__UpperCamelCase			)
	if not list_of_ints or length == 1:
		return

	if min(__UpperCamelCase			) < 0:
		raise ValueError("""All numbers must be positive"""			)

	_lowerCAmelCase								=max(len(bin(__UpperCamelCase			)[2:]			) for x in list_of_ints			)
	_msd_radix_sort_inplace(__UpperCamelCase       ,					__UpperCamelCase       ,					0       ,					__UpperCamelCase			)



def        _lowerCamelCase(__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase			)							->					Dict:
	if bit_position == 0 or end_index - begin_index <= 1:
		return

	bit_position -= 1

	_lowerCAmelCase								=begin_index
	_lowerCAmelCase								=end_index - 1
	while i <= j:
		_lowerCAmelCase								=False
		if not (list_of_ints[i] >> bit_position) & 1:
			# found zero at the beginning
			i += 1
			_lowerCAmelCase								=True
		if (list_of_ints[j] >> bit_position) & 1:
			# found one at the end
			j -= 1
			_lowerCAmelCase								=True

		if changed:
			continue

		_lowerCAmelCase		,				_lowerCAmelCase								=list_of_ints[j], list_of_ints[i]
		j -= 1
		if j != i:
			i += 1

	_msd_radix_sort_inplace(__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase			)
	_msd_radix_sort_inplace(__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase       ,					__UpperCamelCase			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()





"""simple docstring"""


import unittest

import numpy as np
import PIL
import torch

from diffusers.image_processor import VaeImageProcessor







class 						lowerCamelCase__   (   unittest.TestCase							):





			'''simple docstring'''



			@property
			def    _lowerCAmelCase						(				self    )					->	List[str]:
				_lowerCAmelCase								=1
				_lowerCAmelCase								=3
				_lowerCAmelCase								=8
				_lowerCAmelCase								=8

				_lowerCAmelCase								=torch.rand((batch_size, num_channels, height, width)    )

				return sample



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Any:
				if isinstance(image[0]	,	PIL.Image.Image    ):
					return np.stack([np.array(__UpperCAmelCase    ) for i in image]	,	axis=0    )
				elif isinstance(__UpperCAmelCase	,	torch.Tensor    ):
					return image.cpu().numpy().transpose(0	,	2	,	3	,	1    )
				return image



			def    _lowerCAmelCase						(				self    )					->	Tuple:
				_lowerCAmelCase								=VaeImageProcessor(do_resize=__UpperCAmelCase	,	do_normalize=__UpperCAmelCase    )

				_lowerCAmelCase								=self.dummy_sample
				_lowerCAmelCase								=self.to_np(__UpperCAmelCase    )

				for output_type in ["pt", "np", "pil"]:
					_lowerCAmelCase								=image_processor.postprocess(
					    image_processor.preprocess(__UpperCAmelCase    )	,	output_type=__UpperCAmelCase	,	)
					_lowerCAmelCase								=self.to_np(__UpperCAmelCase    )
					_lowerCAmelCase								=(input_np * 2_55).round() if output_type == """pil""" else input_np
					assert (
					    np.abs(in_np - out_np    ).max() < 1e-6
					), f'''decoded output does not match input for output_type {output_type}'''



			def    _lowerCAmelCase						(				self    )					->	Union[str, Any]:
				_lowerCAmelCase								=VaeImageProcessor(do_resize=__UpperCAmelCase	,	do_normalize=__UpperCAmelCase    )
				_lowerCAmelCase								=self.dummy_sample.cpu().numpy().transpose(0	,	2	,	3	,	1    )

				for output_type in ["pt", "np", "pil"]:
					_lowerCAmelCase								=image_processor.postprocess(image_processor.preprocess(__UpperCAmelCase    )	,	output_type=__UpperCAmelCase    )

					_lowerCAmelCase								=self.to_np(__UpperCAmelCase    )
					_lowerCAmelCase								=(input_np * 2_55).round() if output_type == """pil""" else input_np
					assert (
					    np.abs(in_np - out_np    ).max() < 1e-6
					), f'''decoded output does not match input for output_type {output_type}'''



			def    _lowerCAmelCase						(				self    )					->	List[str]:
				_lowerCAmelCase								=VaeImageProcessor(do_resize=__UpperCAmelCase	,	do_normalize=__UpperCAmelCase    )

				_lowerCAmelCase								=self.dummy_sample.cpu().numpy().transpose(0	,	2	,	3	,	1    )
				_lowerCAmelCase								=image_processor.numpy_to_pil(__UpperCAmelCase    )

				for output_type in ["pt", "np", "pil"]:
					_lowerCAmelCase								=image_processor.postprocess(image_processor.preprocess(__UpperCAmelCase    )	,	output_type=__UpperCAmelCase    )
					for i, o in zip(__UpperCAmelCase	,	__UpperCAmelCase    ):
						_lowerCAmelCase								=np.array(__UpperCAmelCase    )
						_lowerCAmelCase								=self.to_np(__UpperCAmelCase    ) if output_type == """pil""" else (self.to_np(__UpperCAmelCase    ) * 2_55).round()
						assert (
						    np.abs(in_np - out_np    ).max() < 1e-6
						), f'''decoded output does not match input for output_type {output_type}'''



			def    _lowerCAmelCase						(				self    )					->	Tuple:
				_lowerCAmelCase								=VaeImageProcessor(do_resize=__UpperCAmelCase	,	do_normalize=__UpperCAmelCase    )

				_lowerCAmelCase								=self.dummy_sample
				_lowerCAmelCase								=input_pt_ad.squeeze(0    )

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)
				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				_lowerCAmelCase								=self.to_np(self.dummy_sample    )
				_lowerCAmelCase								=input_np_ad.squeeze(0    )

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)
				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				assert np.abs(out_pt_ad - out_pt_ad    ).max() < 1e-6
				assert np.abs(out_np_ad - out_np_ad    ).max() < 1e-6



			def    _lowerCAmelCase						(				self    )					->	Optional[Any]:
				_lowerCAmelCase								=VaeImageProcessor(do_resize=__UpperCAmelCase	,	do_normalize=__UpperCAmelCase    )

				_lowerCAmelCase								=self.dummy_sample
				_lowerCAmelCase								=list(__UpperCAmelCase    )

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				_lowerCAmelCase								=self.to_np(self.dummy_sample    )
				list(__UpperCAmelCase    )

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				_lowerCAmelCase								=image_processor.postprocess(
				    image_processor.preprocess(__UpperCAmelCase    )	,	output_type="""np"""	,	)

				assert np.abs(out_pt_ad - out_pt_list    ).max() < 1e-6
				assert np.abs(out_np_ad - out_np_list    ).max() < 1e-6



