



"""simple docstring"""






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    __snake_case(					__A       ):
    _A       = '''config.json'''




    @register_to_config
    def __init__(   self    ,							A_=2    ,							A_=5    ,							A_=(2, 5)    ,							A_="for diffusion"    ,							A_=[1, 3]    ,							):





      '''simple docstring'''



      pass




class    __snake_case(					__A       ):
    _A       = '''config.json'''




    @register_to_config
    def __init__(   self    ,							A_=2    ,							A_=5    ,							A_=(2, 5)    ,							A_="for diffusion"    ,							A_=[1, 3]    ,							):





      '''simple docstring'''



      pass




class    __snake_case(					__A       ):
    _A       = '''config.json'''




    @register_to_config
    def __init__(   self    ,							A_=2    ,							A_=5    ,							A_=(2, 5)    ,							A_="for diffusion"    ,							A_=[1, 3]    ,							A_=[1, 3]    ,							):





      '''simple docstring'''



      pass




class    __snake_case(					__A       ):
    _A       = '''config.json'''




    @register_to_config
    def __init__(   self    ,							A_=2    ,							A_=5    ,							A_=(2, 5)    ,							A_="for diffusion"    ,							A_=[1, 5]    ,							A_=[5, 4]    ,							):





      '''simple docstring'''



      pass




class    __snake_case(					unittest.TestCase       ):




    def   A   (   self			):





      '''simple docstring'''



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




    def   A   (   self			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			SampleObject()
      _SCREAMING_SNAKE_CASE        =			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        =			SampleObject(_name_or_path='''lalala'''			)
      _SCREAMING_SNAKE_CASE        =			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        =			SampleObject(c=6			)
      _SCREAMING_SNAKE_CASE        =			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        =			SampleObject(1    ,							c=6			)
      _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			SampleObject()
      _SCREAMING_SNAKE_CASE        =			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__			)
        _SCREAMING_SNAKE_CASE        =			SampleObject.from_config(SampleObject.load_config(lowercase__			)			)
        _SCREAMING_SNAKE_CASE        =			new_obj.config

      # unfreeze configs
      _SCREAMING_SNAKE_CASE        =			dict(lowercase__			)
      _SCREAMING_SNAKE_CASE        =			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   A   (   self			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			logging.get_logger('''diffusers.configuration_utils'''			)
      # 30 for warning
      logger.setLevel(30			)

      with CaptureLogger(lowercase__			) as cap_logger:
        _SCREAMING_SNAKE_CASE        =			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			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			SampleObject()

      _SCREAMING_SNAKE_CASE        =			{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`
        _SCREAMING_SNAKE_CASE        =			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`
      _SCREAMING_SNAKE_CASE        =			SampleObjecta.from_config(config.config			)
      assert new_config.f == [5, 4]

      config.config._use_default_values.pop()
      _SCREAMING_SNAKE_CASE        =			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]








'''simple docstring'''







def     _UpperCamelCase				(  snake_case__ = 1_000				):
      __A		 =   []
      __A		 =   []
      __A		 =   3
      __A		 =   5
      __A		 =   1
      while True:
            __A		 =   z * temp
            if result < n:
                  zmulti.append(snake_case__				)
                  temp += 1
            else:
                  __A		 =   1
                  break
      while True:
            __A		 =   x * temp
            if result < n:
                  xmulti.append(snake_case__				)
                  temp += 1
            else:
                  break
      __A		 =   list(set(xmulti + zmulti				)				)
      return sum(snake_case__				)


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


