






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      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''config.json'''




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

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''config.json'''




						@register_to_config
						def __init__(    self		,	lowercase=2		,	lowercase=5		,	lowercase=(2, 5)		,	lowercase="for diffusion"		,	lowercase=[1, 3]		,	)			->						Optional[int]:
													pass

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''config.json'''




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

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''config.json'''




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

class      UpperCamelCase_							(				unittest.TestCase       ):




						def      snake_case__(    self       )			->						List[str]:
													with self.assertRaises(lowercase       ):
																				ConfigMixin.load_config('''dummy_path'''       )




						def      snake_case__(    self       )			->						Union[str, Any]:
													_a  :    List[Any]			=						SampleObject()
													_a  :    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]

													# init ignore private arguments
													_a  :    int			=						SampleObject(_name_or_path='''lalala'''       )
													_a  :    str			=						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
													_a  :    Optional[int]			=						SampleObject(c=6       )
													_a  :    Optional[int]			=						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.
													_a  :    List[str]			=						SampleObject(1		,	c=6       )
													_a  :    str			=						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      snake_case__(    self       )			->						Tuple:
													_a  :    Any			=						SampleObject()
													_a  :    List[str]			=						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(lowercase       )
																				_a  :    Tuple			=						SampleObject.from_config(SampleObject.load_config(lowercase       )       )
																				_a  :    str			=						new_obj.config

													# unfreeze configs
													_a  :    List[Any]			=						dict(lowercase       )
													_a  :    Any			=						dict(lowercase       )

													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      snake_case__(    self       )			->						Dict:
													_a  :    Any			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    Optional[Any]			=						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      snake_case__(    self       )			->						Union[str, Any]:
													_a  :    List[str]			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    int			=						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      snake_case__(    self       )			->						Optional[int]:
													_a  :    List[Any]			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    List[Any]			=						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      snake_case__(    self       )			->						str:
													_a  :    Dict			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    Dict			=						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      snake_case__(    self       )			->						Any:
													_a  :    str			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    Union[str, Any]			=						DDPMScheduler.from_pretrained(
																				    '''hf-internal-testing/tiny-stable-diffusion-torch'''		,	subfolder='''scheduler'''		,	prediction_type='''sample'''		,	beta_end=8		,	)

													with CaptureLogger(lowercase       ) as cap_logger_a:
																				_a  :    Dict			=						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      snake_case__(    self       )			->						List[str]:
													_a  :    Any			=						logging.get_logger('''diffusers.configuration_utils'''       )
													# 30 for warning
													logger.setLevel(30       )

													with CaptureLogger(lowercase       ) as cap_logger:
																				_a  :    List[Any]			=						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      snake_case__(    self       )			->						Any:
													# 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],

													_a  :    Any			=						SampleObject()

													_a  :    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(lowercase       )

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

																				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`
													_a  :    Optional[Any]			=						SampleObjecta.from_config(config.config       )
													assert new_config.f == [5, 4]

													config.config._use_default_values.pop()
													_a  :    Any			=						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]







__lowerCamelCase						= {0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

__lowerCamelCase						= {0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}






def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    List[Any]			=						True
							_a  :    Optional[Any]			=						[]

							for neighbour in graph[vert]:
														if not visited[neighbour]:
																					connected_verts += dfs(UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )

							return [vert, *connected_verts]






def    UpperCamelCase__  (   UpperCAmelCase     )     ->		list:







							"""simple docstring"""





							_a  :    Optional[int]			=						len(UpperCAmelCase     )
							_a  :    Optional[Any]			=						graph_size * [False]
							_a  :    Optional[int]			=						[]

							for i in range(UpperCAmelCase     ):
														if not visited[i]:
																					_a  :    List[str]			=						dfs(UpperCAmelCase    ,	UpperCAmelCase    ,	UpperCAmelCase     )
																					components_list.append(UpperCAmelCase     )

							return components_list


if __name__ == "__main__":
						import doctest

						doctest.testmod()