import gc
import unittest

import numpy as np
import torch

from diffusers import RePaintPipeline, RePaintScheduler, UNetaDModel
from diffusers.utils.testing_utils import (
    enable_full_determinism,
    load_image,
    load_numpy,
    nightly,
    require_torch_gpu,
    skip_mps,
    torch_device,
)

from ..pipeline_params import IMAGE_INPAINTING_BATCH_PARAMS, IMAGE_INPAINTING_PARAMS
from ..test_pipelines_common import PipelineTesterMixin


enable_full_determinism()
class 							a_					(		SCREAMING_SNAKE_CASE			,	unittest.TestCase		):






 '''simple docstring'''






 UpperCAmelCase_      					=   RePaintPipeline
 UpperCAmelCase_      					=   IMAGE_INPAINTING_PARAMS - {'width', 'height', 'guidance_scale'}
 UpperCAmelCase_      					=   PipelineTesterMixin.required_optional_params - {
     'latents',
     'num_images_per_prompt',
     'callback',
     'callback_steps',
 }
 UpperCAmelCase_      					=   IMAGE_INPAINTING_BATCH_PARAMS
 UpperCAmelCase_      					=   False




 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        torch.manual_seed(0)
        torch.manual_seed(0)
        lowerCAmelCase__	      =   UNetaDModel(
            block_out_channels=(32, 64)     ,       layers_per_block=2     ,       sample_size=32     ,       in_channels=3     ,       out_channels=3     ,       down_block_types=('DownBlock2D', 'AttnDownBlock2D')     ,       up_block_types=('AttnUpBlock2D', 'UpBlock2D')     ,       )
        lowerCAmelCase__	      =   RePaintScheduler()
        lowerCAmelCase__	      =   {'unet': unet, 'scheduler': scheduler}
        return components




 def 						__snake_case		(     self   :    Tuple     ,       lowercase__   :    int     ,       lowercase__   :    Any=0):







        '''simple docstring'''



        if str(lowercase__).startswith('mps'):
               lowerCAmelCase__	      =   torch.manual_seed(lowercase__)
        else:
               lowerCAmelCase__	      =   torch.Generator(device=lowercase__).manual_seed(lowercase__)
        lowerCAmelCase__	      =   np.random.RandomState(lowercase__).standard_normal((1, 3, 32, 32))
        lowerCAmelCase__	      =   torch.from_numpy(lowercase__).to(device=lowercase__     ,       dtype=torch.floataa)
        lowerCAmelCase__	      =   (image > 0).to(device=lowercase__     ,       dtype=torch.floataa)
        lowerCAmelCase__	      =   {
            'image': image,
            'mask_image': mask,
            'generator': generator,
            'num_inference_steps': 5,
            'eta': 0.0,
            'jump_length': 2,
            'jump_n_sample': 2,
            'output_type': 'numpy',
        }
        return inputs




 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        lowerCAmelCase__	      =   'cpu'  # ensure determinism for the device-dependent torch.Generator
        lowerCAmelCase__	      =   self.get_dummy_components()
        lowerCAmelCase__	      =   RePaintPipeline(**lowercase__)
        lowerCAmelCase__	      =   sd_pipe.to(lowercase__)
        sd_pipe.set_progress_bar_config(disable=lowercase__)

        lowerCAmelCase__	      =   self.get_dummy_inputs(lowercase__)
        lowerCAmelCase__	      =   sd_pipe(**lowercase__).images
        lowerCAmelCase__	      =   image[0, -3:, -3:, -1]

        assert image.shape == (1, 32, 32, 3)
        lowerCAmelCase__	      =   np.array([1.0_000, 0.5_426, 0.5_497, 0.2_200, 1.0_000, 1.0_000, 0.5_623, 1.0_000, 0.6_274])

        assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3




 @skip_mps
 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        return super().test_save_load_local()




 @unittest.skip('non-deterministic pipeline')
 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        return super().test_inference_batch_single_identical()




 @skip_mps
 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        return super().test_dict_tuple_outputs_equivalent()




 @skip_mps
 def 						__snake_case		(     self   :    List[Any]):







        '''simple docstring'''



        return super().test_save_load_optional_components()




 @skip_mps
 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        return super().test_attention_slicing_forward_pass()






@nightly
@require_torch_gpu
class 							a_					(		unittest.TestCase		):






 '''simple docstring'''






 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        super().tearDown()
        gc.collect()
        torch.cuda.empty_cache()




 def 						__snake_case		(     self   :    Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   load_image(
            'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/'
            'repaint/celeba_hq_256.png')
        lowerCAmelCase__	      =   load_image(
            'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/repaint/mask_256.png')
        lowerCAmelCase__	      =   load_numpy(
            'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/'
            'repaint/celeba_hq_256_result.npy')

        lowerCAmelCase__	      =   'google/ddpm-ema-celebahq-256'
        lowerCAmelCase__	      =   UNetaDModel.from_pretrained(lowercase__)
        lowerCAmelCase__	      =   RePaintScheduler.from_pretrained(lowercase__)

        lowerCAmelCase__	      =   RePaintPipeline(unet=lowercase__     ,       scheduler=lowercase__).to(lowercase__)
        repaint.set_progress_bar_config(disable=lowercase__)
        repaint.enable_attention_slicing()

        lowerCAmelCase__	      =   torch.manual_seed(0)
        lowerCAmelCase__	      =   repaint(
            lowercase__     ,       lowercase__     ,       num_inference_steps=250     ,       eta=0.0     ,       jump_length=10     ,       jump_n_sample=10     ,       generator=lowercase__     ,       output_type='np'     ,       )
        lowerCAmelCase__	      =   output.images[0]

        assert image.shape == (256, 256, 3)
        assert np.abs(expected_image - image).mean() < 1e-2

import unittest

from cer import CER


lowerCAmelCase__      		=					CER()
class 							a_					(		unittest.TestCase		):






 '''simple docstring'''






 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['White House']
        lowerCAmelCase__	      =   ['white house']
        # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.1_818_181_818) < 1e-6)




 def 						__snake_case		(     self   :    List[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['were wolf']
        lowerCAmelCase__	      =   ['werewolf']
        # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.1_111_111) < 1e-6)

        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['weae     wolf']
        # S = 1, D = 1, I = 0, N = 8, CER = 0.25
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.25) < 1e-6)

        # consecutive whitespaces case 1
        lowerCAmelCase__	      =   ['were wolf']
        lowerCAmelCase__	      =   ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)

        # consecutive whitespaces case 2
        lowerCAmelCase__	      =   ['were   wolf']
        lowerCAmelCase__	      =   ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)




 def 						__snake_case		(     self   :    Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['weaewolf']
        # S = 1, D = 0, I = 0, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['wereawolf']
        # S = 0, D = 1, I = 0, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['wereolf']
        # S = 0, D = 0, I = 1, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertEqual(lowercase__     ,       0.0)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf', 'I am your father']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertEqual(lowercase__     ,       0.0)

        lowerCAmelCase__	      =   ['werewolf', 'I am your father', 'doge']
        lowerCAmelCase__	      =   ['werxwolf', 'I       am your father', 'doge']
        # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.03_571_428) < 1e-6)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['My hovercraft', 'is full of eels']
        lowerCAmelCase__	      =   ['My hovercraft is full', ' of eels']
        # S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
        # whitespace at the front of " of eels" will be strip during preporcessing
        # so need to insert 2 whitespaces
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__     ,       concatenate_texts=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.071_428) < 1e-6)




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['我能吞下玻璃而不伤身体']
        lowerCAmelCase__	      =   [' 能吞虾玻璃而 不霜身体啦']
        # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.4_545_454_545) < 1e-6)

        lowerCAmelCase__	      =   ['我能吞下玻璃', '而不伤身体']
        lowerCAmelCase__	      =   ['我    能 吞 下 玻 璃', '而不伤身体']
        # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.454_545_454_545) < 1e-6)

        lowerCAmelCase__	      =   ['我能吞下玻璃而不伤身体']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertFalse(lowercase__     ,       0.0)




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['']
        lowerCAmelCase__	      =   ['Hypothesis']
        with self.assertRaises(lowercase__):
               cer.compute(predictions=lowercase__     ,       references=lowercase__)


if __name__ == "__main__":
    unittest.main()
