





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_     (     snake_case__       ):
					_a			:	str							=				'config.json'



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






class 	UpperCamelCase_     (     snake_case__       ):
					_a			:	Union[str, Any]							=				'config.json'



					@register_to_config
					def __init__(		self    :    Any					,			lowerCamelCase    :    Dict=2					,			lowerCamelCase    :    Optional[int]=5					,			lowerCamelCase    :    Optional[int]=(2, 5)					,			lowerCamelCase    :    Dict="for diffusion"					,			lowerCamelCase    :    str=[1, 3]					,			):
							pass






class 	UpperCamelCase_     (     snake_case__       ):
					_a			:	Optional[Any]							=				'config.json'



					@register_to_config
					def __init__(		self    :    int					,			lowerCamelCase    :    Optional[Any]=2					,			lowerCamelCase    :    Union[str, Any]=5					,			lowerCamelCase    :    Optional[Any]=(2, 5)					,			lowerCamelCase    :    Union[str, Any]="for diffusion"					,			lowerCamelCase    :    List[Any]=[1, 3]					,			lowerCamelCase    :    List[Any]=[1, 3]					,			):
							pass






class 	UpperCamelCase_     (     snake_case__       ):
					_a			:	Tuple							=				'config.json'



					@register_to_config
					def __init__(		self    :    Optional[int]					,			lowerCamelCase    :    Optional[int]=2					,			lowerCamelCase    :    Optional[int]=5					,			lowerCamelCase    :    str=(2, 5)					,			lowerCamelCase    :    str="for diffusion"					,			lowerCamelCase    :    Union[str, Any]=[1, 5]					,			lowerCamelCase    :    Dict=[5, 4]					,			):
							pass






class 	UpperCamelCase_     (     unittest.TestCase       ):



					def      __a    (		self    :    Tuple	):
							with self.assertRaises(lowerCamelCase	):
									ConfigMixin.load_config('dummy_path'	)



					def      __a    (		self    :    Any	):
							lowerCamelCase_  :    List[Any]   	=			SampleObject()
							lowerCamelCase_  :    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
							lowerCamelCase_  :    Any   	=			SampleObject(_name_or_path='lalala'	)
							lowerCamelCase_  :    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
							lowerCamelCase_  :    Union[str, Any]   	=			SampleObject(c=6	)
							lowerCamelCase_  :    List[Any]   	=			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.
							lowerCamelCase_  :    Tuple   	=			SampleObject(1					,			c=6	)
							lowerCamelCase_  :    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      __a    (		self    :    List[str]	):
							lowerCamelCase_  :    int   	=			SampleObject()
							lowerCamelCase_  :    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(lowerCamelCase	)
									lowerCamelCase_  :    str   	=			SampleObject.from_config(SampleObject.load_config(lowerCamelCase	)	)
									lowerCamelCase_  :    Optional[Any]   	=			new_obj.config

							# unfreeze configs
							lowerCamelCase_  :    int   	=			dict(lowerCamelCase	)
							lowerCamelCase_  :    str   	=			dict(lowerCamelCase	)

							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      __a    (		self    :    Optional[int]	):
							lowerCamelCase_  :    List[str]   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

							with CaptureLogger(lowerCamelCase	) as cap_logger:
									lowerCamelCase_  :    List[str]   	=			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      __a    (		self    :    List[str]	):
							lowerCamelCase_  :    Optional[Any]   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

							with CaptureLogger(lowerCamelCase	) as cap_logger:
									lowerCamelCase_  :    List[str]   	=			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      __a    (		self    :    int	):
							lowerCamelCase_  :    str   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

							with CaptureLogger(lowerCamelCase	) as cap_logger:
									lowerCamelCase_  :    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      __a    (		self    :    List[str]	):
							lowerCamelCase_  :    Optional[int]   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

							with CaptureLogger(lowerCamelCase	) as cap_logger:
									lowerCamelCase_  :    List[Any]   	=			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      __a    (		self    :    List[str]	):
							lowerCamelCase_  :    Tuple   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

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

							with CaptureLogger(lowerCamelCase	) as cap_logger_a:
									lowerCamelCase_  :    Tuple   	=			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      __a    (		self    :    int	):
							lowerCamelCase_  :    Optional[Any]   	=			logging.get_logger('diffusers.configuration_utils'	)
							# 30 for warning
							logger.setLevel(30	)

							with CaptureLogger(lowerCamelCase	) as cap_logger:
									lowerCamelCase_  :    Optional[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      __a    (		self    :    Dict	):
							# 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],

							lowerCamelCase_  :    Optional[Any]   	=			SampleObject()

							lowerCamelCase_  :    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(lowerCamelCase	)

									# now loading it with SampleObject2 should put f into `_use_default_values`
									lowerCamelCase_  :    Optional[Any]   	=			SampleObjecta.from_config(lowerCamelCase	)

									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`
							lowerCamelCase_  :    Union[str, Any]   	=			SampleObjecta.from_config(config.config	)
							assert new_config.f == [5, 4]

							config.config._use_default_values.pop()
							lowerCamelCase_  :    Optional[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]







from __future__ import annotations


def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
		lowerCamelCase_  :    int
		lowerCamelCase_  :    list[str]   	=			list(lowerCAmelCase__	)
		lowerCamelCase_	,			lowerCamelCase_  :    List[str]   	=			_vector[:-1], int(_vector[-1]	)
		lowerCamelCase_  :    list[int]   	=			[int(lowerCAmelCase__	) for digit in __vector]

		vector.reverse()
		for i, digit in enumerate(lowerCAmelCase__	):
				if i & 1 == 0:
						lowerCamelCase_  :    int   	=			digit * 2
						if doubled > 9:
								doubled -= 9
						check_digit += doubled
				else:
						check_digit += digit

		return check_digit % 10 == 0


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		assert is_luhn("""79927398713""")
		assert not is_luhn("""79927398714""")
