import unittest

import numpy as np
import PIL
import torch

from diffusers.image_processor import VaeImageProcessor







class       __snake_case (  unittest.TestCase ):
 @property
 def 						UpperCAmelCase__							(	self    )						->				Optional[Any]:
       '''simple docstring'''





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

       UpperCAmelCase     :			Optional[int]     	=torch.rand((batch_size, num_channels, height, width)    )

       return sample
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				Union[str, Any]:
       '''simple docstring'''





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





       UpperCAmelCase     :			int     	=VaeImageProcessor(do_resize=snake_case__		, do_normalize=snake_case__    )

       UpperCAmelCase     :			str     	=self.dummy_sample
       UpperCAmelCase     :			int     	=self.to_np(snake_case__    )

       for output_type in ["pt", "np", "pil"]:
             UpperCAmelCase     :			int     	=image_processor.postprocess(
                 image_processor.preprocess(snake_case__    )		, output_type=snake_case__		, )
             UpperCAmelCase     :			List[str]     	=self.to_np(snake_case__    )
             UpperCAmelCase     :			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    )						->				Optional[int]:
       '''simple docstring'''





       UpperCAmelCase     :			str     	=VaeImageProcessor(do_resize=snake_case__		, do_normalize=snake_case__    )
       UpperCAmelCase     :			Any     	=self.dummy_sample.cpu().numpy().transpose(0		, 2		, 3		, 1    )

       for output_type in ["pt", "np", "pil"]:
             UpperCAmelCase     :			Union[str, Any]     	=image_processor.postprocess(image_processor.preprocess(snake_case__    )		, output_type=snake_case__    )

             UpperCAmelCase     :			List[str]     	=self.to_np(snake_case__    )
             UpperCAmelCase     :			int     	=(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    )						->				Dict:
       '''simple docstring'''





       UpperCAmelCase     :			Union[str, Any]     	=VaeImageProcessor(do_resize=snake_case__		, do_normalize=snake_case__    )

       UpperCAmelCase     :			Optional[Any]     	=self.dummy_sample.cpu().numpy().transpose(0		, 2		, 3		, 1    )
       UpperCAmelCase     :			int     	=image_processor.numpy_to_pil(snake_case__    )

       for output_type in ["pt", "np", "pil"]:
             UpperCAmelCase     :			Union[str, Any]     	=image_processor.postprocess(image_processor.preprocess(snake_case__    )		, output_type=snake_case__    )
             for i, o in zip(snake_case__		, snake_case__    ):
                   UpperCAmelCase     :			Optional[int]     	=np.array(snake_case__    )
                   UpperCAmelCase     :			str     	=self.to_np(snake_case__    ) if output_type == '''pil''' else (self.to_np(snake_case__    ) * 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    )						->				Optional[Any]:
       '''simple docstring'''





       UpperCAmelCase     :			Optional[int]     	=VaeImageProcessor(do_resize=snake_case__		, do_normalize=snake_case__    )

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

       UpperCAmelCase     :			Tuple     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )
       UpperCAmelCase     :			Optional[Any]     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )

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

       UpperCAmelCase     :			Optional[int]     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )
       UpperCAmelCase     :			Optional[int]     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, 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    )						->				int:
       '''simple docstring'''





       UpperCAmelCase     :			Dict     	=VaeImageProcessor(do_resize=snake_case__		, do_normalize=snake_case__    )

       UpperCAmelCase     :			List[str]     	=self.dummy_sample
       UpperCAmelCase     :			Optional[int]     	=list(snake_case__    )

       UpperCAmelCase     :			Tuple     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )

       UpperCAmelCase     :			Tuple     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )

       UpperCAmelCase     :			str     	=self.to_np(self.dummy_sample    )
       list(snake_case__    )

       UpperCAmelCase     :			Tuple     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, output_type='''np'''		, )

       UpperCAmelCase     :			int     	=image_processor.postprocess(
           image_processor.preprocess(snake_case__    )		, 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

from hashlib import mda, shaaaa

__snake_case         =     (shaaaa, mda)







class       __snake_case :
 def __init__(	self		, snake_case__ = 8    )						->				None:
       '''simple docstring'''





       UpperCAmelCase     :			str     	=0b0
       UpperCAmelCase     :			str     	=size
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				None:
       '''simple docstring'''





       UpperCAmelCase     :			Union[str, Any]     	=self.hash_(snake_case__    )
       self.bitarray |= h
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				bool:
       '''simple docstring'''





       UpperCAmelCase     :			List[Any]     	=self.hash_(snake_case__    )
       return (h & self.bitarray) == h
 def __contains__(	self		, snake_case__    )						->				bool:
       '''simple docstring'''





       return self.exists(snake_case__    )
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				str:
       '''simple docstring'''





       UpperCAmelCase     :			Dict     	=bin(snake_case__    )[2:]
       return res.zfill(self.size    )
 @property
 def 						UpperCAmelCase__							(	self    )						->				str:
       '''simple docstring'''





       return self.format_bin(self.bitarray    )
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				int:
       '''simple docstring'''





       UpperCAmelCase     :			Union[str, Any]     	=0b0
       for func in HASH_FUNCTIONS:
             UpperCAmelCase     :			Optional[Any]     	=(
                 int.from_bytes(func(value.encode()    ).digest()		, '''little'''    ) % self.size
             )
             res |= 2**position
       return res
 def 						UpperCAmelCase__							(	self		, snake_case__    )						->				str:
       '''simple docstring'''





       return self.format_bin(self.hash_(snake_case__    )    )






 @property
 def 						UpperCAmelCase__							(	self    )						->				float:
       '''simple docstring'''





       UpperCAmelCase     :			int     	=bin(self.bitarray    ).count('''1'''    )
       return (n_ones / self.size) ** len(snake_case__    )
