





'''simple docstring'''



import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin


class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Any      =   DownBlockaD  # noqa F405
     UpperCAmelCase__       :						List[Any]      =   '''down'''

     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						str      =   ResnetDownsampleBlockaD  # noqa F405
     UpperCAmelCase__       :						int      =   '''down'''

     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Dict      =   AttnDownBlockaD  # noqa F405
     UpperCAmelCase__       :						str      =   '''down'''

     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   CrossAttnDownBlockaD  # noqa F405
     UpperCAmelCase__       :						int      =   '''down'''

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Union[str, Any]      =   SimpleCrossAttnDownBlockaD  # noqa F405
     UpperCAmelCase__       :						Tuple      =   '''down'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_encoder_hidden_states=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     @unittest.skipIf(torch_device == "mps"						,   "MPS result is not consistent"	)
     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Tuple      =   SkipDownBlockaD  # noqa F405
     UpperCAmelCase__       :						Optional[int]      =   '''down'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_skip_sample=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Any      =   AttnSkipDownBlockaD  # noqa F405
     UpperCAmelCase__       :						Optional[Any]      =   '''down'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_skip_sample=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Any      =   DownEncoderBlockaD  # noqa F405
     UpperCAmelCase__       :						List[str]      =   '''down'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_temb=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{
           "in_channels": 32,
           "out_channels": 32,
       }
       _snake_case     		=				self.dummy_input
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Any      =   AttnDownEncoderBlockaD  # noqa F405
     UpperCAmelCase__       :						Any      =   '''down'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_temb=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{
           "in_channels": 32,
           "out_channels": 32,
       }
       _snake_case     		=				self.dummy_input
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Tuple      =   UNetMidBlockaD  # noqa F405
     UpperCAmelCase__       :						Any      =   '''mid'''

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{
           "in_channels": 32,
           "temb_channels": 128,
       }
       _snake_case     		=				self.dummy_input
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[str]      =   UNetMidBlockaDCrossAttn  # noqa F405
     UpperCAmelCase__       :						Optional[Any]      =   '''mid'''

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   UNetMidBlockaDSimpleCrossAttn  # noqa F405
     UpperCAmelCase__       :						str      =   '''mid'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_encoder_hidden_states=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Tuple      =   UpBlockaD  # noqa F405
     UpperCAmelCase__       :						Optional[Any]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[Any]      =   ResnetUpsampleBlockaD  # noqa F405
     UpperCAmelCase__       :						List[Any]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Tuple      =   CrossAttnUpBlockaD  # noqa F405
     UpperCAmelCase__       :						Optional[Any]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   SimpleCrossAttnUpBlockaD  # noqa F405
     UpperCAmelCase__       :						Optional[int]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase						,   include_encoder_hidden_states=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case		,		_snake_case     		=				super().prepare_init_args_and_inputs_for_common()
       _snake_case     		=				32
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Optional[int]      =   AttnUpBlockaD  # noqa F405
     UpperCAmelCase__       :						List[Any]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)






     @unittest.skipIf(torch_device == "mps"						,   "MPS result is not consistent"	)
     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Union[str, Any]      =   SkipUpBlockaD  # noqa F405
     UpperCAmelCase__       :						Dict      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Optional[int]      =   AttnSkipUpBlockaD  # noqa F405
     UpperCAmelCase__       :						List[str]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_res_hidden_states_tuple=lowerCamelCase	)






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   UpDecoderBlockaD  # noqa F405
     UpperCAmelCase__       :						str      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_temb=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{"in_channels": 32, "out_channels": 32}

       _snake_case     		=				self.dummy_input
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
       super().test_output(lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[Any]      =   AttnUpDecoderBlockaD  # noqa F405
     UpperCAmelCase__       :						List[str]      =   '''up'''

     @property
     def 	UpperCamelCase(					self	):
       return super().get_dummy_input(include_temb=lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{"in_channels": 32, "out_channels": 32}

       _snake_case     		=				self.dummy_input
       return init_dict, inputs_dict






     def 	UpperCamelCase(					self	):
       _snake_case     		=				[0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
       super().test_output(lowerCamelCase	)









'''simple docstring'''



import warnings

from ...utils import is_sklearn_available, requires_backends


if is_sklearn_available():
 from scipy.stats import pearsonr, spearmanr
 from sklearn.metrics import fa_score, matthews_corrcoef


__magic_name__   :						List[str]    =			(
    """This metric will be removed from the library soon, metrics should be handled with the 🤗 Evaluate """
    """library. You can have a look at this example script for pointers: """
    """https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py"""
)




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  warnings.warn(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  requires_backends(SCREAMING_SNAKE_CASE__					,	"sklearn"       )
  return (preds == labels).mean()




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  warnings.warn(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  requires_backends(SCREAMING_SNAKE_CASE__					,	"sklearn"       )
  _snake_case     		=				simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  _snake_case     		=				fa_score(y_true=SCREAMING_SNAKE_CASE__					,	y_pred=SCREAMING_SNAKE_CASE__       )
  return {
      "acc": acc,
      "f1": fa,
      "acc_and_f1": (acc + fa) / 2,
  }




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  warnings.warn(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  requires_backends(SCREAMING_SNAKE_CASE__					,	"sklearn"       )
  _snake_case     		=				pearsonr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )[0]
  _snake_case     		=				spearmanr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )[0]
  return {
      "pearson": pearson_corr,
      "spearmanr": spearman_corr,
      "corr": (pearson_corr + spearman_corr) / 2,
  }




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  warnings.warn(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  requires_backends(SCREAMING_SNAKE_CASE__					,	"sklearn"       )
  assert len(SCREAMING_SNAKE_CASE__       ) == len(SCREAMING_SNAKE_CASE__       ), f'''Predictions and labels have mismatched lengths {len(SCREAMING_SNAKE_CASE__       )} and {len(SCREAMING_SNAKE_CASE__       )}'''
  if task_name == "cola":
    return {"mcc": matthews_corrcoef(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "sst-2":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "mrpc":
    return acc_and_fa(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  elif task_name == "sts-b":
    return pearson_and_spearman(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  elif task_name == "qqp":
    return acc_and_fa(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  elif task_name == "mnli":
    return {"mnli/acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "mnli-mm":
    return {"mnli-mm/acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "qnli":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "rte":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "wnli":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  elif task_name == "hans":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  else:
    raise KeyError(SCREAMING_SNAKE_CASE__       )




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  warnings.warn(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )
  requires_backends(SCREAMING_SNAKE_CASE__					,	"sklearn"       )
  if len(SCREAMING_SNAKE_CASE__       ) != len(SCREAMING_SNAKE_CASE__       ):
    raise ValueError(f'''Predictions and labels have mismatched lengths {len(SCREAMING_SNAKE_CASE__       )} and {len(SCREAMING_SNAKE_CASE__       )}'''       )
  if task_name == "xnli":
    return {"acc": simple_accuracy(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       )}
  else:
    raise KeyError(SCREAMING_SNAKE_CASE__       )


