


'''simple docstring'''


import tempfile
import unittest

from diffusers import (
    DDIMScheduler,
    DDPMScheduler,
    DPMSolverMultistepScheduler,
    EulerAncestralDiscreteScheduler,
    EulerDiscreteScheduler,
    PNDMScheduler,
    logging,
)
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.utils.testing_utils import CaptureLogger





class 					lowercase__						(		_snake_case      ):





							'''simple docstring'''


							A_							:   Dict   			=						"""config.json"""






							@register_to_config
							def __init__(					self					,      __snake_case=2					,      __snake_case=5					,      __snake_case=(2, 5)					,      __snake_case="for diffusion"					,      __snake_case=[1, 3]					,      ):
											pass





class 					lowercase__						(		_snake_case      ):





							'''simple docstring'''


							A_							:   int   			=						"""config.json"""






							@register_to_config
							def __init__(					self					,      __snake_case=2					,      __snake_case=5					,      __snake_case=(2, 5)					,      __snake_case="for diffusion"					,      __snake_case=[1, 3]					,      ):
											pass





class 					lowercase__						(		_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						"""config.json"""






							@register_to_config
							def __init__(					self					,      __snake_case=2					,      __snake_case=5					,      __snake_case=(2, 5)					,      __snake_case="for diffusion"					,      __snake_case=[1, 3]					,      __snake_case=[1, 3]					,      ):
											pass





class 					lowercase__						(		_snake_case      ):





							'''simple docstring'''


							A_							:   Union[str, Any]   			=						"""config.json"""






							@register_to_config
							def __init__(					self					,      __snake_case=2					,      __snake_case=5					,      __snake_case=(2, 5)					,      __snake_case="for diffusion"					,      __snake_case=[1, 5]					,      __snake_case=[5, 4]					,      ):
											pass





class 					lowercase__						(		unittest.TestCase      ):





							'''simple docstring'''


							def UpperCAmelCase_			(					self						):
											with self.assertRaises(__snake_case						):
															ConfigMixin.load_config("""dummy_path"""						)






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   SampleObject()
											_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   obj.config
											assert config["a"] == 2
											assert config["b"] == 5
											assert config["c"] == (2, 5)
											assert config["d"] == "for diffusion"
											assert config["e"] == [1, 3]

											# init ignore private arguments
											_SCREAMING_SNAKE_CASE				: Dict  	=   SampleObject(_name_or_path="""lalala"""						)
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   obj.config
											assert config["a"] == 2
											assert config["b"] == 5
											assert config["c"] == (2, 5)
											assert config["d"] == "for diffusion"
											assert config["e"] == [1, 3]

											# can override default
											_SCREAMING_SNAKE_CASE				: Dict  	=   SampleObject(c=6						)
											_SCREAMING_SNAKE_CASE				: List[str]  	=   obj.config
											assert config["a"] == 2
											assert config["b"] == 5
											assert config["c"] == 6
											assert config["d"] == "for diffusion"
											assert config["e"] == [1, 3]

											# can use positional arguments.
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   SampleObject(1					,      c=6						)
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   obj.config
											assert config["a"] == 1
											assert config["b"] == 5
											assert config["c"] == 6
											assert config["d"] == "for diffusion"
											assert config["e"] == [1, 3]






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   SampleObject()
											_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   obj.config

											assert config["a"] == 2
											assert config["b"] == 5
											assert config["c"] == (2, 5)
											assert config["d"] == "for diffusion"
											assert config["e"] == [1, 3]

											with tempfile.TemporaryDirectory() as tmpdirname:
															obj.save_config(__snake_case						)
															_SCREAMING_SNAKE_CASE				: int  	=   SampleObject.from_config(SampleObject.load_config(__snake_case						)						)
															_SCREAMING_SNAKE_CASE				: Dict  	=   new_obj.config

											# unfreeze configs
											_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   dict(__snake_case						)
											_SCREAMING_SNAKE_CASE				: int  	=   dict(__snake_case						)

											assert config.pop("""c"""						) == (2, 5)  # instantiated as tuple
											assert new_config.pop("""c"""						) == [2, 5]  # saved & loaded as list because of json
											config.pop("""_use_default_values"""						)
											assert config == new_config






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Any  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: Tuple  	=   DDIMScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""						)

											assert ddim.__class__ == DDIMScheduler
											# no warning should be thrown
											assert cap_logger.out == ""






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Tuple  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: Tuple  	=   EulerDiscreteScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""						)

											assert euler.__class__ == EulerDiscreteScheduler
											# no warning should be thrown
											assert cap_logger.out == ""






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Any  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: str  	=   EulerAncestralDiscreteScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""						)

											assert euler.__class__ == EulerAncestralDiscreteScheduler
											# no warning should be thrown
											assert cap_logger.out == ""






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: List[str]  	=   PNDMScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""						)

											assert pndm.__class__ == PNDMScheduler
											# no warning should be thrown
											assert cap_logger.out == ""






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: List[str]  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: str  	=   DDPMScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""					,      prediction_type="""sample"""					,      beta_end=8					,      )

											with CaptureLogger(__snake_case						) as cap_logger_a:
															_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   DDPMScheduler.from_pretrained("""google/ddpm-celebahq-256"""					,      beta_start=88						)

											assert ddpm.__class__ == DDPMScheduler
											assert ddpm.config.prediction_type == "sample"
											assert ddpm.config.beta_end == 8
											assert ddpm_a.config.beta_start == 88

											# no warning should be thrown
											assert cap_logger.out == ""
											assert cap_logger_a.out == ""






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Dict  	=   logging.get_logger("""diffusers.configuration_utils"""						)
											# 30 for warning
											logger.setLevel(30						)

											with CaptureLogger(__snake_case						) as cap_logger:
															_SCREAMING_SNAKE_CASE				: int  	=   DPMSolverMultistepScheduler.from_pretrained(
															    """hf-internal-testing/tiny-stable-diffusion-torch"""					,      subfolder="""scheduler"""						)

											assert dpm.__class__ == DPMSolverMultistepScheduler
											# no warning should be thrown
											assert cap_logger.out == ""






							def UpperCAmelCase_			(					self						):
											# let's first save a config that should be in the form
											#    a=2,
											#    b=5,
											#    c=(2, 5),
											#    d="for diffusion",
											#    e=[1, 3],

											_SCREAMING_SNAKE_CASE				: List[str]  	=   SampleObject()

											_SCREAMING_SNAKE_CASE				: List[str]  	=   {k: v for k, v in config.config.items() if not k.startswith("""_"""						)}

											# make sure that default config has all keys in `_use_default_values`
											assert set(config_dict.keys()						) == set(config.config._use_default_values						)

											with tempfile.TemporaryDirectory() as tmpdirname:
															config.save_config(__snake_case						)

															# now loading it with SampleObject2 should put f into `_use_default_values`
															_SCREAMING_SNAKE_CASE				: Tuple  	=   SampleObjecta.from_config(__snake_case						)

															assert "f" in config._use_default_values
															assert config.f == [1, 3]

											# now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
											# **BECAUSE** it is part of `config._use_default_values`
											_SCREAMING_SNAKE_CASE				: str  	=   SampleObjecta.from_config(config.config						)
											assert new_config.f == [5, 4]

											config.config._use_default_values.pop()
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   SampleObjecta.from_config(config.config						)
											assert new_config_a.f == [1, 3]

											# Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
											assert new_config_a.e == [1, 3]








'''simple docstring'''


def     snake_case_     (						SCREAMING_SNAKE_CASE__							,   SCREAMING_SNAKE_CASE__  ):







				"""simple docstring"""





				return (input_a, input_a).count(0  ) % 2







def     snake_case_     (						):







				"""simple docstring"""





				assert xor_gate(0							,   0  ) == 0
				assert xor_gate(0							,   1  ) == 1
				assert xor_gate(1							,   0  ) == 1
				assert xor_gate(1							,   1  ) == 0


if __name__ == "__main__":
				print(xor_gate(0, 0))
				print(xor_gate(0, 1))




