




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     A					(				lowerCamelCase_       ):
							_SCREAMING_SNAKE_CASE  :		Dict			  =       '''config.json'''







							@register_to_config
							def __init__(    self   :	int   ,     __UpperCAmelCase   :	Tuple=2   ,     __UpperCAmelCase   :	Optional[Any]=5   ,     __UpperCAmelCase   :	Tuple=(2, 5)   ,     __UpperCAmelCase   :	Dict="for diffusion"   ,     __UpperCAmelCase   :	Dict=[1, 3]   ,     )		->					Union[str, Any]:

										"""simple docstring"""



										pass







class     A					(				lowerCamelCase_       ):
							_SCREAMING_SNAKE_CASE  :		List[str]			  =       '''config.json'''







							@register_to_config
							def __init__(    self   :	int   ,     __UpperCAmelCase   :	Union[str, Any]=2   ,     __UpperCAmelCase   :	Optional[int]=5   ,     __UpperCAmelCase   :	Optional[Any]=(2, 5)   ,     __UpperCAmelCase   :	Tuple="for diffusion"   ,     __UpperCAmelCase   :	Dict=[1, 3]   ,     )		->					List[Any]:

										"""simple docstring"""



										pass







class     A					(				lowerCamelCase_       ):
							_SCREAMING_SNAKE_CASE  :		Optional[Any]			  =       '''config.json'''







							@register_to_config
							def __init__(    self   :	Any   ,     __UpperCAmelCase   :	Dict=2   ,     __UpperCAmelCase   :	Tuple=5   ,     __UpperCAmelCase   :	Any=(2, 5)   ,     __UpperCAmelCase   :	List[str]="for diffusion"   ,     __UpperCAmelCase   :	List[str]=[1, 3]   ,     __UpperCAmelCase   :	Union[str, Any]=[1, 3]   ,     )		->					Optional[int]:

										"""simple docstring"""



										pass







class     A					(				lowerCamelCase_       ):
							_SCREAMING_SNAKE_CASE  :		Dict			  =       '''config.json'''







							@register_to_config
							def __init__(    self   :	str   ,     __UpperCAmelCase   :	str=2   ,     __UpperCAmelCase   :	Dict=5   ,     __UpperCAmelCase   :	Dict=(2, 5)   ,     __UpperCAmelCase   :	str="for diffusion"   ,     __UpperCAmelCase   :	List[str]=[1, 5]   ,     __UpperCAmelCase   :	str=[5, 4]   ,     )		->					str:

										"""simple docstring"""



										pass







class     A					(				unittest.TestCase       ):







							def        lowercase__							(    self   :	str				)		->					str:

										"""simple docstring"""



										with self.assertRaises(__UpperCAmelCase				):
													ConfigMixin.load_config('dummy_path'				)







							def        lowercase__							(    self   :	List[str]				)		->					List[str]:

										"""simple docstring"""



										UpperCamelCase_     				= SampleObject()
										UpperCamelCase_     				= 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
										UpperCamelCase_     				= SampleObject(_name_or_path='lalala'				)
										UpperCamelCase_     				= 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
										UpperCamelCase_     				= SampleObject(c=6				)
										UpperCamelCase_     				= 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.
										UpperCamelCase_     				= SampleObject(1   ,     c=6				)
										UpperCamelCase_     				= 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        lowercase__							(    self   :	Any				)		->					int:

										"""simple docstring"""



										UpperCamelCase_     				= SampleObject()
										UpperCamelCase_     				= 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(__UpperCAmelCase				)
													UpperCamelCase_     				= SampleObject.from_config(SampleObject.load_config(__UpperCAmelCase				)				)
													UpperCamelCase_     				= new_obj.config

										# unfreeze configs
										UpperCamelCase_     				= dict(__UpperCAmelCase				)
										UpperCamelCase_     				= dict(__UpperCAmelCase				)

										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        lowercase__							(    self   :	Optional[Any]				)		->					Union[str, Any]:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	str				)		->					List[Any]:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	List[Any]				)		->					List[str]:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	Union[str, Any]				)		->					Optional[int]:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	Optional[Any]				)		->					str:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= DDPMScheduler.from_pretrained(
													    'hf-internal-testing/tiny-stable-diffusion-torch'   ,     subfolder='scheduler'   ,     prediction_type='sample'   ,     beta_end=8   ,     )

										with CaptureLogger(__UpperCAmelCase				) as cap_logger_a:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	Dict				)		->					Union[str, Any]:

										"""simple docstring"""



										UpperCamelCase_     				= logging.get_logger('diffusers.configuration_utils'				)
										# 30 for warning
										logger.setLevel(30				)

										with CaptureLogger(__UpperCAmelCase				) as cap_logger:
													UpperCamelCase_     				= 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        lowercase__							(    self   :	List[str]				)		->					Optional[Any]:

										"""simple docstring"""



										UpperCamelCase_     				= SampleObject()

										UpperCamelCase_     				= {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(__UpperCAmelCase				)

													# now loading it with SampleObject2 should put f into `_use_default_values`
													UpperCamelCase_     				= SampleObjecta.from_config(__UpperCAmelCase				)

													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`
										UpperCamelCase_     				= SampleObjecta.from_config(config.config				)
										assert new_config.f == [5, 4]

										config.config._use_default_values.pop()
										UpperCamelCase_     				= 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]






def  a_		(							__snake_case					)	->			str:

			'''simple docstring'''


			return " ".join([word[::-1] for word in input_str.split()]					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
