"""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 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:str							=				"config.json"






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



class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Union[str, Any]							=				"config.json"






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



class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Union[str, Any]							=				"config.json"






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



class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Tuple							=				"config.json"






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



class 					UpperCAmelCase		(unittest.TestCase						):



    """simple docstring"""

    def _snake_case    (     self							):
       with self.assertRaises(_UpperCAmelCase							):
          ConfigMixin.load_config('''dummy_path'''							)






    def _snake_case    (     self							):
       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__:     int      =   SampleObject(_name_or_path='''lalala'''							)
       lowercase__:     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
       lowercase__:     Union[str, Any]      =   SampleObject(c=6							)
       lowercase__:     Dict      =   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__:     List[str]      =   SampleObject(1					,    c=6							)
       lowercase__:     List[Any]      =   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							):
       lowercase__:     int      =   SampleObject()
       lowercase__:     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]

       with tempfile.TemporaryDirectory() as tmpdirname:
          obj.save_config(_UpperCAmelCase							)
          lowercase__:     List[str]      =   SampleObject.from_config(SampleObject.load_config(_UpperCAmelCase							)							)
          lowercase__:     Tuple      =   new_obj.config

       # unfreeze configs
       lowercase__:     List[Any]      =   dict(_UpperCAmelCase							)
       lowercase__:     Tuple      =   dict(_UpperCAmelCase							)

       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							):
       lowercase__:     Optional[int]      =   logging.get_logger('''diffusers.configuration_utils'''							)
       # 30 for warning
       logger.setLevel(30							)

       with CaptureLogger(_UpperCAmelCase							) as cap_logger:
          lowercase__:     Dict      =   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							):
       lowercase__:     str      =   logging.get_logger('''diffusers.configuration_utils'''							)
       # 30 for warning
       logger.setLevel(30							)

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

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

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

       with CaptureLogger(_UpperCAmelCase							) as cap_logger:
          lowercase__:     Optional[Any]      =   DDPMScheduler.from_pretrained(
              '''hf-internal-testing/tiny-stable-diffusion-torch'''					,    subfolder='''scheduler'''					,    prediction_type='''sample'''					,    beta_end=8					,    )

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

       with CaptureLogger(_UpperCAmelCase							) as cap_logger:
          lowercase__:     List[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							):
       # 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],

       lowercase__:     Optional[Any]      =   SampleObject()

       lowercase__:     Dict      =   {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(_UpperCAmelCase							)

          # now loading it with SampleObject2 should put f into `_use_default_values`
          lowercase__:     Tuple      =   SampleObjecta.from_config(_UpperCAmelCase							)

          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__:     Union[str, Any]      =   SampleObjecta.from_config(config.config							)
       assert new_config.f == [5, 4]

       config.config._use_default_values.pop()
       lowercase__:     Tuple      =   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 SCREAMING_SNAKE_CASE__    (     __UpperCAmelCase				)						->						Optional[int]:
   lowercase__:     str      =   [7_0_1, 3_0_1, 1_3_2, 5_7, 2_3, 1_0, 4, 1]
   for gap in gaps:
      for i in range(__UpperCAmelCase ,					len(__UpperCAmelCase				)				):
         lowercase__:     Any      =   collection[i]
         lowercase__:     Tuple      =   i
         while j >= gap and collection[j - gap] > insert_value:
            lowercase__:     List[str]      =   collection[j - gap]
            j -= gap
         if j != i:
            lowercase__:     List[str]      =   insert_value
   return collection


if __name__ == "__main__":
       from doctest import testmod

       testmod()
       __A         =				input("Enter numbers separated by a comma:\n").strip()
       __A         =				[int(item) for item in user_input.split(",")]
       print(shell_sort(unsorted))
