

'''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 				lowercase_		(						_UpperCamelCase       ):

  '''simple docstring'''





  __lowerCAmelCase    :       str			     =      'config.json'
  @register_to_config
  def __init__(   self      ,       a_=2      ,       a_=5      ,       a_=(2, 5)      ,       a_="for diffusion"      ,       a_=[1, 3]      ,       )							-> Union[str, Any]:


    """simple docstring"""
    pass




class 				lowercase_		(						_UpperCamelCase       ):

  '''simple docstring'''





  __lowerCAmelCase    :       Tuple			     =      'config.json'
  @register_to_config
  def __init__(   self      ,       a_=2      ,       a_=5      ,       a_=(2, 5)      ,       a_="for diffusion"      ,       a_=[1, 3]      ,       )							-> Union[str, Any]:


    """simple docstring"""
    pass




class 				lowercase_		(						_UpperCamelCase       ):

  '''simple docstring'''





  __lowerCAmelCase    :       Optional[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]      ,       )							-> Dict:


    """simple docstring"""
    pass




class 				lowercase_		(						_UpperCamelCase       ):

  '''simple docstring'''





  __lowerCAmelCase    :       Optional[Any]			     =      'config.json'
  @register_to_config
  def __init__(   self      ,       a_=2      ,       a_=5      ,       a_=(2, 5)      ,       a_="for diffusion"      ,       a_=[1, 5]      ,       a_=[5, 4]      ,       )							-> List[str]:


    """simple docstring"""
    pass




class 				lowercase_		(						unittest.TestCase       ):

  '''simple docstring'''





  def   snake_case_	(   self   )							-> Optional[int]:


    """simple docstring"""
    with self.assertRaises(_SCREAMING_SNAKE_CASE   ):
      ConfigMixin.load_config('dummy_path'   )
  def   snake_case_	(   self   )							-> Union[str, Any]:


    """simple docstring"""
    UpperCAmelCase  							=		SampleObject()
    UpperCAmelCase  							=		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
    UpperCAmelCase  							=		SampleObject(_name_or_path='lalala'   )
    UpperCAmelCase  							=		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
    UpperCAmelCase  							=		SampleObject(c=6   )
    UpperCAmelCase  							=		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.
    UpperCAmelCase  							=		SampleObject(1      ,       c=6   )
    UpperCAmelCase  							=		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   )							-> int:


    """simple docstring"""
    UpperCAmelCase  							=		SampleObject()
    UpperCAmelCase  							=		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(_SCREAMING_SNAKE_CASE   )
      UpperCAmelCase  							=		SampleObject.from_config(SampleObject.load_config(_SCREAMING_SNAKE_CASE   )   )
      UpperCAmelCase  							=		new_obj.config

    # unfreeze configs
    UpperCAmelCase  							=		dict(_SCREAMING_SNAKE_CASE   )
    UpperCAmelCase  							=		dict(_SCREAMING_SNAKE_CASE   )

    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   )							-> List[Any]:


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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger:
      UpperCAmelCase  							=		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[str]:


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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger:
      UpperCAmelCase  							=		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   )							-> Optional[Any]:


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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger:
      UpperCAmelCase  							=		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   )							-> Optional[int]:


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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger:
      UpperCAmelCase  							=		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   )							-> Tuple:


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

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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger_a:
      UpperCAmelCase  							=		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   snake_case_	(   self   )							-> List[Any]:


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

    with CaptureLogger(_SCREAMING_SNAKE_CASE   ) as cap_logger:
      UpperCAmelCase  							=		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   )							-> Optional[int]:


    """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],

    UpperCAmelCase  							=		SampleObject()

    UpperCAmelCase  							=		{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(_SCREAMING_SNAKE_CASE   )

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

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

    config.config._use_default_values.pop()
    UpperCAmelCase  							=		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'''




import math





def      _UpperCAmelCase    (							_UpperCamelCase    :	int   )	->      float:
    A_     =   math.log(2,   10   ) * number
    A_     =   round((log_number - int(_UpperCamelCase   )),   15   )

    return difference





def      _UpperCAmelCase    (							_UpperCamelCase    :	int = 67_89_10   )	->      int:
    A_     =   90
    A_     =   0

    A_     =   math.log(1.2_3,   10   )
    A_     =   math.log(1.2_4,   10   )
    A_     =   0

    while position < number:
        A_     =   log_difference(_UpperCamelCase   )

        if difference >= upper_limit:
            power_iterator += 93

        elif difference < lower_limit:
            power_iterator += 1_96

        else:
            A_     =   power_iterator
            power_iterator += 1_96
            position += 1

    return previous_power


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  print(F"""{solution() = }""")






