
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		(					A       ):
					__magic_name__						:							Dict     	=	'''config.json'''


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





									'''simple docstring'''
									pass






class 					__lowercase		(					A       ):
					__magic_name__						:							Dict     	=	'''config.json'''


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





									'''simple docstring'''
									pass






class 					__lowercase		(					A       ):
					__magic_name__						:							Union[str, Any]     	=	'''config.json'''


					@register_to_config
					def __init__(	self       ,       a__=2       ,       a__=5       ,       a__=(2, 5)       ,       a__="for diffusion"       ,       a__=[1, 3]       ,       a__=[1, 3]       ,       )		->							List[Any]:





									'''simple docstring'''
									pass






class 					__lowercase		(					A       ):
					__magic_name__						:							List[str]     	=	'''config.json'''


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





									'''simple docstring'''
									pass






class 					__lowercase		(					unittest.TestCase       ):


					def        lowerCAmelCase_    (	self						)		->							List[Any]:





									'''simple docstring'''
									with self.assertRaises(a__						):
													ConfigMixin.load_config('''dummy_path'''						)


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





									'''simple docstring'''
									A_       	=  SampleObject()
									A_       	=  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_       	=  SampleObject(_name_or_path='''lalala'''						)
									A_       	=  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_       	=  SampleObject(c=6						)
									A_       	=  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_       	=  SampleObject(1       ,       c=6						)
									A_       	=  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        lowerCAmelCase_    (	self						)		->							Optional[Any]:





									'''simple docstring'''
									A_       	=  SampleObject()
									A_       	=  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(a__						)
													A_       	=  SampleObject.from_config(SampleObject.load_config(a__						)						)
													A_       	=  new_obj.config

									# unfreeze configs
									A_       	=  dict(a__						)
									A_       	=  dict(a__						)

									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        lowerCAmelCase_    (	self						)		->							List[Any]:





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

									with CaptureLogger(a__						) as cap_logger:
													A_       	=  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        lowerCAmelCase_    (	self						)		->							Dict:





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

									with CaptureLogger(a__						) as cap_logger:
													A_       	=  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        lowerCAmelCase_    (	self						)		->							Optional[int]:





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

									with CaptureLogger(a__						) as cap_logger:
													A_       	=  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        lowerCAmelCase_    (	self						)		->							Union[str, Any]:





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

									with CaptureLogger(a__						) as cap_logger:
													A_       	=  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        lowerCAmelCase_    (	self						)		->							Tuple:





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

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

									with CaptureLogger(a__						) as cap_logger_a:
													A_       	=  DDPMScheduler.from_pretrained('''google/ddpm-celebahq-256'''       ,       beta_start=8_8						)

									assert ddpm.__class__ == DDPMScheduler
									assert ddpm.config.prediction_type == "sample"
									assert ddpm.config.beta_end == 8
									assert ddpm_a.config.beta_start == 8_8

									# no warning should be thrown
									assert cap_logger.out == ""
									assert cap_logger_a.out == ""


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





									'''simple docstring'''
									A_       	=  logging.get_logger('''diffusers.configuration_utils'''						)
									# 30 for warning
									logger.setLevel(3_0						)

									with CaptureLogger(a__						) as cap_logger:
													A_       	=  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        lowerCAmelCase_    (	self						)		->							List[str]:





									'''simple docstring'''
									# 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_       	=  SampleObject()

									A_       	=  {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(a__						)

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

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

									config.config._use_default_values.pop()
									A_       	=  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 collections import namedtuple

SCREAMING_SNAKE_CASE   :		Any					 =       namedtuple("from_to", "from_ to")

SCREAMING_SNAKE_CASE   :		str					 =       {
    "atm": from_to(1, 1),
    "pascal": from_to(0.0000098, 10_1325),
    "bar": from_to(0.986923, 1.01325),
    "kilopascal": from_to(0.00986923, 101.325),
    "megapascal": from_to(9.86923, 0.101325),
    "psi": from_to(0.068046, 14.6959),
    "inHg": from_to(0.0334211, 29.9213),
    "torr": from_to(0.00131579, 760),
}



def        lowerCamelCase_  (   __UpperCamelCase ,						__UpperCamelCase ,						__UpperCamelCase     ):
				if from_type not in PRESSURE_CONVERSION:
								raise ValueError(
								    F"Invalid 'from_type' value: {from_type!r}  Supported values are:\n"
								    + ''', '''.join(__UpperCamelCase     )     )
				if to_type not in PRESSURE_CONVERSION:
								raise ValueError(
								    F"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
								    + ''', '''.join(__UpperCamelCase     )     )
				return (
				    value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
				)


if __name__ == "__main__":
						import doctest

						doctest.testmod()