





'''simple docstring'''


import unittest

import torch

from diffusers import VQModel
from diffusers.utils import floats_tensor, torch_device
from diffusers.utils.testing_utils import enable_full_determinism

from .test_modeling_common import ModelTesterMixin, UNetTesterMixin


enable_full_determinism()






class     lowerCAmelCase__ (				UpperCAmelCase_      , UpperCAmelCase_      , unittest.TestCase    ):

       '''simple docstring'''
       _lowerCamelCase								=VQModel
       _lowerCamelCase								="sample"

       @property
       def 			__snake_case      ( self					:				List[str]       ,     a__					:				Optional[int]=(32, 32)						):
              UpperCAmelCase  =						4
              UpperCAmelCase  =						3

              UpperCAmelCase  =						floats_tensor((batch_size, num_channels) + sizes						).to(a__						)

              return {"sample": image}

       @property
       def 			__snake_case      ( self					:				Any						):
              return (3, 32, 32)

       @property
       def 			__snake_case      ( self					:				Dict						):
              return (3, 32, 32)

       def 			__snake_case      ( self					:				Dict						):
              UpperCAmelCase  =						{
                  '''block_out_channels''': [32, 64],
                  '''in_channels''': 3,
                  '''out_channels''': 3,
                  '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
                  '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
                  '''latent_channels''': 3,
              }
              UpperCAmelCase  =						self.dummy_input
              return init_dict, inputs_dict

       def 			__snake_case      ( self					:				List[str]						):
              pass

       def 			__snake_case      ( self					:				List[Any]						):
              pass

       def 			__snake_case      ( self					:				int						):
              UpperCAmelCase,					UpperCAmelCase  =						VQModel.from_pretrained('''fusing/vqgan-dummy'''       ,     output_loading_info=a__						)
              self.assertIsNotNone(a__						)
              self.assertEqual(len(loading_info['''missing_keys''']						)       ,     0						)

              model.to(a__						)
              UpperCAmelCase  =						model(**self.dummy_input						)

              assert image is not None, "Make sure output is not None"



       def 			__snake_case      ( self					:				List[str]						):
              UpperCAmelCase  =						VQModel.from_pretrained('''fusing/vqgan-dummy'''						)
              model.to(a__						).eval()

              torch.manual_seed(0						)
              if torch.cuda.is_available():
                     torch.cuda.manual_seed_all(0						)

              UpperCAmelCase  =						torch.randn(1       ,     model.config.in_channels       ,     model.config.sample_size       ,     model.config.sample_size						)
              UpperCAmelCase  =						image.to(a__						)
              with torch.no_grad():
                     UpperCAmelCase  =						model(a__						).sample

              UpperCAmelCase  =						output[0, -1, -3:, -3:].flatten().cpu()
              # fmt: off
              UpperCAmelCase  =						torch.tensor([-0.0_153, -0.4_044, -0.1_880, -0.5_161, -0.2_418, -0.4_072, -0.1_612, -0.0_633, -0.0_143]						)
              # fmt: on
              self.assertTrue(torch.allclose(a__       ,     a__       ,     atol=1e-3						)						)









"""simple docstring"""
from __future__ import annotations

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    list[float]			):
 lowerCAmelCase    				= 0.00
 lowerCAmelCase    				= 0
 for resistor in resistors:
  if resistor <= 0:
   lowerCAmelCase    				= F'Resistor at index {index} has a negative or zero value!'
   raise ValueError(_UpperCAmelCase			)
  first_sum += 1 / float(_UpperCAmelCase			)
  index += 1
 return 1 / first_sum

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    list[float]			):
 lowerCAmelCase    				= 0.00
 lowerCAmelCase    				= 0
 for resistor in resistors:
  sum_r += resistor
  if resistor < 0:
   lowerCAmelCase    				= F'Resistor at index {index} has a negative value!'
   raise ValueError(_UpperCAmelCase			)
  index += 1
 return sum_r


if __name__ == "__main__":
       import doctest

       doctest.testmod()





