





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 			__lowerCAmelCase				(					lowerCamelCase_			):


	'''simple docstring'''





	_A       	=							"""config.json"""

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


class 			__lowerCAmelCase				(					lowerCamelCase_			):


	'''simple docstring'''





	_A       	=							"""config.json"""

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


class 			__lowerCAmelCase				(					lowerCamelCase_			):


	'''simple docstring'''





	_A       	=							"""config.json"""

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


class 			__lowerCAmelCase				(					lowerCamelCase_			):


	'''simple docstring'''





	_A       	=							"""config.json"""

	@register_to_config
	def __init__(	self:	Any,				lowerCamelCase_:	List[Any]=2,				lowerCamelCase_:	Optional[Any]=5,				lowerCamelCase_:	Any=(2, 5),				lowerCamelCase_:	Any="for diffusion",				lowerCamelCase_:	Any=[1, 5],				lowerCamelCase_:	Tuple=[5, 4],				):
			pass


class 			__lowerCAmelCase				(					unittest.TestCase			):


	'''simple docstring'''





	def       snake_case__(	self:	List[Any] ):







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

	def       snake_case__(	self:	List[str] ):
			lowercase__				:			Dict            =		SampleObject()
			lowercase__				:			Dict            =		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
			lowercase__				:			Dict            =		SampleObject(_name_or_path='lalala' )
			lowercase__				:			List[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]

			# can override default
			lowercase__				:			str            =		SampleObject(c=6 )
			lowercase__				:			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.
			lowercase__				:			int            =		SampleObject(1,				c=6 )
			lowercase__				:			Dict            =		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:	Dict ):
			lowercase__				:			str            =		SampleObject()
			lowercase__				:			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(lowerCamelCase_ )
					lowercase__				:			Union[str, Any]            =		SampleObject.from_config(SampleObject.load_config(lowerCamelCase_ ) )
					lowercase__				:			Union[str, Any]            =		new_obj.config

			# unfreeze configs
			lowercase__				:			List[str]            =		dict(lowerCamelCase_ )
			lowercase__				:			Union[str, Any]            =		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       snake_case__(	self:	int ):
			lowercase__				:			List[Any]            =		logging.get_logger('diffusers.configuration_utils' )
			# 30 for warning
			logger.setLevel(30 )

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

			with CaptureLogger(lowerCamelCase_ ) as cap_logger:
					lowercase__				:			Optional[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:	Dict ):
			lowercase__				:			Any            =		logging.get_logger('diffusers.configuration_utils' )
			# 30 for warning
			logger.setLevel(30 )

			with CaptureLogger(lowerCamelCase_ ) as cap_logger:
					lowercase__				:			Union[str, 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 ):
			lowercase__				:			Union[str, Any]            =		logging.get_logger('diffusers.configuration_utils' )
			# 30 for warning
			logger.setLevel(30 )

			with CaptureLogger(lowerCamelCase_ ) as cap_logger:
					lowercase__				:			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       snake_case__(	self:	Union[str, Any] ):
			lowercase__				:			str            =		logging.get_logger('diffusers.configuration_utils' )
			# 30 for warning
			logger.setLevel(30 )

			with CaptureLogger(lowerCamelCase_ ) as cap_logger:
					lowercase__				:			List[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:
					lowercase__				:			Optional[int]            =		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:	Union[str, Any] ):
			lowercase__				:			Dict            =		logging.get_logger('diffusers.configuration_utils' )
			# 30 for warning
			logger.setLevel(30 )

			with CaptureLogger(lowerCamelCase_ ) as cap_logger:
					lowercase__				:			Union[str, 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:	Union[str, Any] ):
			lowercase__				:			Optional[Any]            =		SampleObject()

			lowercase__				:			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`
					lowercase__				:			Optional[int]            =		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`
			lowercase__				:			Tuple            =		SampleObjecta.from_config(config.config )
			assert new_config.f == [5, 4]

			config.config._use_default_values.pop()
			lowercase__				:			List[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]






def 			SCREAMING_SNAKE_CASE__     (					_lowercase    :   int )      ->       bool:




		'''simple docstring'''
		lowercase__				:			Optional[int]            =		9

		while num > 0:
				if num % 10 != digit:
						return False
				num //= 100
				digit -= 1

		return True


def 			SCREAMING_SNAKE_CASE__     (					)      ->       int:




		'''simple docstring'''
		lowercase__				:			List[str]            =		138_902_663

		while not is_square_form(num * num ):
				if num % 10 == 3:
						num -= 6  # (3 - 6) % 10 = 7
				else:
						num -= 4  # (7 - 4) % 10 = 3

		return num * 10


if __name__ == "__main__":
			print(F'{solution() = }')


