


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				(      SCREAMING_SNAKE_CASE__	):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__    :      int      =		'config.json'


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




class 	_lowercase				(      SCREAMING_SNAKE_CASE__	):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__    :      Optional[Any]      =		'config.json'


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




class 	_lowercase				(      SCREAMING_SNAKE_CASE__	):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__    :      Any      =		'config.json'


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




class 	_lowercase				(      SCREAMING_SNAKE_CASE__	):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__    :      List[str]      =		'config.json'


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




class 	_lowercase				(      unittest.TestCase	):






				'''simple docstring'''



				def 		__magic_name__(	self      :Dict     )		->      Optional[Any]:

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


				def 		__magic_name__(	self      :Union[str, Any]     )		->      str:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		SampleObject()
										__SCREAMING_SNAKE_CASE						:					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]

										# init ignore private arguments
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		SampleObject(_name_or_path='''lalala'''     )
										__SCREAMING_SNAKE_CASE						:					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						:					Any		      =		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						:					Any		      =		SampleObject(1      ,      c=6     )
										__SCREAMING_SNAKE_CASE						:					Optional[int]		      =		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 		__magic_name__(	self      :List[str]     )		->      Any:
										__SCREAMING_SNAKE_CASE						:					List[str]		      =		SampleObject()
										__SCREAMING_SNAKE_CASE						:					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]

										with tempfile.TemporaryDirectory() as tmpdirname:
																obj.save_config(lowerCAmelCase__     )
																__SCREAMING_SNAKE_CASE						:					List[Any]		      =		SampleObject.from_config(SampleObject.load_config(lowerCAmelCase__     )     )
																__SCREAMING_SNAKE_CASE						:					List[Any]		      =		new_obj.config

										# unfreeze configs
										__SCREAMING_SNAKE_CASE						:					Dict		      =		dict(lowerCAmelCase__     )
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		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 		__magic_name__(	self      :List[str]     )		->      List[str]:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		logging.get_logger('''diffusers.configuration_utils'''     )
										# 30 for warning
										logger.setLevel(30     )

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

										with CaptureLogger(lowerCAmelCase__     ) as cap_logger:
																__SCREAMING_SNAKE_CASE						:					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 		__magic_name__(	self      :List[str]     )		->      Dict:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		logging.get_logger('''diffusers.configuration_utils'''     )
										# 30 for warning
										logger.setLevel(30     )

										with CaptureLogger(lowerCAmelCase__     ) as cap_logger:
																__SCREAMING_SNAKE_CASE						:					int		      =		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 		__magic_name__(	self      :Optional[int]     )		->      str:
										__SCREAMING_SNAKE_CASE						:					Any		      =		logging.get_logger('''diffusers.configuration_utils'''     )
										# 30 for warning
										logger.setLevel(30     )

										with CaptureLogger(lowerCAmelCase__     ) as cap_logger:
																__SCREAMING_SNAKE_CASE						:					int		      =		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 		__magic_name__(	self      :str     )		->      Any:
										__SCREAMING_SNAKE_CASE						:					Union[str, Any]		      =		logging.get_logger('''diffusers.configuration_utils'''     )
										# 30 for warning
										logger.setLevel(30     )

										with CaptureLogger(lowerCAmelCase__     ) as cap_logger:
																__SCREAMING_SNAKE_CASE						:					Dict		      =		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:
																__SCREAMING_SNAKE_CASE						:					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 		__magic_name__(	self      :Optional[Any]     )		->      str:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		logging.get_logger('''diffusers.configuration_utils'''     )
										# 30 for warning
										logger.setLevel(30     )

										with CaptureLogger(lowerCAmelCase__     ) as cap_logger:
																__SCREAMING_SNAKE_CASE						:					Tuple		      =		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 		__magic_name__(	self      :Any     )		->      Any:
										__SCREAMING_SNAKE_CASE						:					List[str]		      =		SampleObject()

										__SCREAMING_SNAKE_CASE						:					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`
																__SCREAMING_SNAKE_CASE						:					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`
										__SCREAMING_SNAKE_CASE						:					List[Any]		      =		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]




from .number_theory.prime_numbers import next_prime
class 	_lowercase				:






				'''simple docstring'''



				def __init__(	self      :Tuple      ,      lowerCAmelCase__      :int      ,      lowerCAmelCase__      :int | None = None      ,      lowerCAmelCase__      :float | None = None      ,      )		->      None:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		size_table
										__SCREAMING_SNAKE_CASE						:					Dict		      =		[None] * self.size_table
										__SCREAMING_SNAKE_CASE						:					List[Any]		      =		0.75 if lim_charge is None else lim_charge
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		1 if charge_factor is None else charge_factor
										__SCREAMING_SNAKE_CASE						:					list		      =		[]
										__SCREAMING_SNAKE_CASE						:					dict		      =		{}


				def 		__magic_name__(	self      :List[Any]     )		->      Tuple:
										return self._keys


				def 		__magic_name__(	self      :Any     )		->      Dict:
										return sum(1 for slot in self.values if slot is not None     ) / (
										    self.size_table * self.charge_factor
										)


				def 		__magic_name__(	self      :Optional[Any]      ,      lowerCAmelCase__      :Union[str, Any]     )		->      Optional[Any]:
										return key % self.size_table


				def 		__magic_name__(	self      :int      ,      lowerCAmelCase__      :Union[str, Any]     )		->      List[Any]:
										print(f'''step {step_ord}'''     )
										print(list(range(len(self.values     )     )     )     )
										print(self.values     )


				def 		__magic_name__(	self      :List[str]      ,      lowerCAmelCase__      :Optional[Any]     )		->      Dict:
										__SCREAMING_SNAKE_CASE						:					List[Any]		      =		1
										__SCREAMING_SNAKE_CASE						:					Optional[Any]		      =		values
										for value in values:
																self.insert_data(lowerCAmelCase__     )
																self._step_by_step(lowerCAmelCase__     )
																i += 1


				def 		__magic_name__(	self      :Tuple      ,      lowerCAmelCase__      :List[Any]      ,      lowerCAmelCase__      :Union[str, Any]     )		->      str:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		data
										__SCREAMING_SNAKE_CASE						:					Any		      =		data


				def 		__magic_name__(	self      :Optional[int]      ,      lowerCAmelCase__      :Any      ,      lowerCAmelCase__      :List[str]=None     )		->      int:
										__SCREAMING_SNAKE_CASE						:					Tuple		      =		self.hash_function(key + 1     )

										while self.values[new_key] is not None and self.values[new_key] != key:
																if self.values.count(lowerCAmelCase__     ) > 0:
																						__SCREAMING_SNAKE_CASE						:					Optional[Any]		      =		self.hash_function(new_key + 1     )
																else:
																						__SCREAMING_SNAKE_CASE						:					int		      =		None
																						break

										return new_key


				def 		__magic_name__(	self      :Optional[int]     )		->      Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:					str		      =		[value for value in self.values if value is not None]
										__SCREAMING_SNAKE_CASE						:					Optional[int]		      =		next_prime(self.size_table      ,      factor=2     )
										self._keys.clear()
										__SCREAMING_SNAKE_CASE						:					Optional[Any]		      =		[None] * self.size_table  # hell's pointers D: don't DRY ;/
										for value in survivor_values:
																self.insert_data(lowerCAmelCase__     )



				def 		__magic_name__(	self      :Tuple      ,      lowerCAmelCase__      :str     )		->      Dict:
										__SCREAMING_SNAKE_CASE						:					Union[str, Any]		      =		self.hash_function(lowerCAmelCase__     )

										if self.values[key] is None:
																self._set_value(lowerCAmelCase__      ,      lowerCAmelCase__     )

										elif self.values[key] == data:
																pass

										else:
																__SCREAMING_SNAKE_CASE						:					Tuple		      =		self._collision_resolution(lowerCAmelCase__      ,      lowerCAmelCase__     )
																if collision_resolution is not None:
																						self._set_value(lowerCAmelCase__      ,      lowerCAmelCase__     )
																else:
																						self.rehashing()
																						self.insert_data(lowerCAmelCase__     )
