





'''simple docstring'''

import unittest

import numpy as np
import PIL
import torch

from diffusers.image_processor import VaeImageProcessor





class lowerCamelCase    (unittest.TestCase       ):







  @property
  def 					UpperCAmelCase_					(		self		)		->    Dict:






        """simple docstring"""





        _snake_case		:						Optional[Any]         =  1
        _snake_case		:						int         =  3
        _snake_case		:						Union[str, Any]         =  8
        _snake_case		:						int         =  8

        _snake_case		:						List[Any]         =  torch.rand((batch_size, num_channels, height, width)		)

        return sample







  def 					UpperCAmelCase_					(		self  ,  lowercase__		)		->    Union[str, Any]:






        """simple docstring"""





        if isinstance(image[0]  ,  PIL.Image.Image		):
              return np.stack([np.array(lowercase__		) for i in image]  ,  axis=0		)
        elif isinstance(lowercase__  ,  torch.Tensor		):
              return image.cpu().numpy().transpose(0  ,  2  ,  3  ,  1		)
        return image







  def 					UpperCAmelCase_					(		self		)		->    Optional[Any]:






        """simple docstring"""





        _snake_case		:						int         =  VaeImageProcessor(do_resize=lowercase__  ,  do_normalize=lowercase__		)

        _snake_case		:						str         =  self.dummy_sample
        _snake_case		:						Any         =  self.to_np(lowercase__		)

        for output_type in ["pt", "np", "pil"]:
              _snake_case		:						Union[str, Any]         =  image_processor.postprocess(
                  image_processor.preprocess(lowercase__		)  ,  output_type=lowercase__  ,  )
              _snake_case		:						Dict         =  self.to_np(lowercase__		)
              _snake_case		:						List[str]         =  (input_np * 255).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 					UpperCAmelCase_					(		self		)		->    str:






        """simple docstring"""





        _snake_case		:						Tuple         =  VaeImageProcessor(do_resize=lowercase__  ,  do_normalize=lowercase__		)
        _snake_case		:						List[str]         =  self.dummy_sample.cpu().numpy().transpose(0  ,  2  ,  3  ,  1		)

        for output_type in ["pt", "np", "pil"]:
              _snake_case		:						int         =  image_processor.postprocess(image_processor.preprocess(lowercase__		)  ,  output_type=lowercase__		)

              _snake_case		:						int         =  self.to_np(lowercase__		)
              _snake_case		:						Union[str, Any]         =  (input_np * 255).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 					UpperCAmelCase_					(		self		)		->    int:






        """simple docstring"""





        _snake_case		:						Union[str, Any]         =  VaeImageProcessor(do_resize=lowercase__  ,  do_normalize=lowercase__		)

        _snake_case		:						Union[str, Any]         =  self.dummy_sample.cpu().numpy().transpose(0  ,  2  ,  3  ,  1		)
        _snake_case		:						int         =  image_processor.numpy_to_pil(lowercase__		)

        for output_type in ["pt", "np", "pil"]:
              _snake_case		:						int         =  image_processor.postprocess(image_processor.preprocess(lowercase__		)  ,  output_type=lowercase__		)
              for i, o in zip(lowercase__  ,  lowercase__		):
                    _snake_case		:						Tuple         =  np.array(lowercase__		)
                    _snake_case		:						Any         =  self.to_np(lowercase__		) if output_type == '''pil''' else (self.to_np(lowercase__		) * 255).round()
                    assert (
                        np.abs(in_np - out_np		).max() < 1E-6
                    ), F'''decoded output does not match input for output_type {output_type}'''







  def 					UpperCAmelCase_					(		self		)		->    Any:






        """simple docstring"""





        _snake_case		:						List[Any]         =  VaeImageProcessor(do_resize=lowercase__  ,  do_normalize=lowercase__		)

        _snake_case		:						Optional[Any]         =  self.dummy_sample
        _snake_case		:						Optional[Any]         =  input_pt_ad.squeeze(0		)

        _snake_case		:						Any         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )
        _snake_case		:						Dict         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )

        _snake_case		:						List[str]         =  self.to_np(self.dummy_sample		)
        _snake_case		:						List[str]         =  input_np_ad.squeeze(0		)

        _snake_case		:						str         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )
        _snake_case		:						Tuple         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  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 					UpperCAmelCase_					(		self		)		->    Optional[int]:






        """simple docstring"""





        _snake_case		:						int         =  VaeImageProcessor(do_resize=lowercase__  ,  do_normalize=lowercase__		)

        _snake_case		:						List[Any]         =  self.dummy_sample
        _snake_case		:						Optional[int]         =  list(lowercase__		)

        _snake_case		:						Optional[int]         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )

        _snake_case		:						Optional[Any]         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )

        _snake_case		:						List[Any]         =  self.to_np(self.dummy_sample		)
        list(lowercase__		)

        _snake_case		:						Optional[int]         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  output_type='''np'''  ,  )

        _snake_case		:						Optional[Any]         =  image_processor.postprocess(
            image_processor.preprocess(lowercase__		)  ,  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









'''simple docstring'''

from __future__ import annotations




def  _a     (				lowerCAmelCase_						):





      """simple docstring"""



      _snake_case		:						List[str]         =  sorted(lowerCAmelCase_						)
      _snake_case		:						Any         =  len(lowerCAmelCase_						)
      _snake_case		:						List[str]         =  length >> 1
      return (
          (sorted_list[mid_index] + sorted_list[mid_index - 1]) / 2
          if length % 2 == 0
          else sorted_list[mid_index]
      )




def  _a     (				):





      """simple docstring"""



      import doctest

      doctest.testmod()


if __name__ == "__main__":
   main()


