






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     __a						(					A__ ):
 _lowerCAmelCase : Optional[int] 				=				'''config.json'''







 @register_to_config
 def __init__(	self      :     Optional[int]							,     SCREAMING_SNAKE_CASE      :     str=2							,     SCREAMING_SNAKE_CASE      :     Any=5							,     SCREAMING_SNAKE_CASE      :     Any=(2, 5)							,     SCREAMING_SNAKE_CASE      :     int="for diffusion"							,     SCREAMING_SNAKE_CASE      :     str=[1, 3]							,     ):


      '''simple docstring'''






      pass







class     __a						(					A__ ):
 _lowerCAmelCase : List[Any] 				=				'''config.json'''







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


      '''simple docstring'''






      pass







class     __a						(					A__ ):
 _lowerCAmelCase : int 				=				'''config.json'''







 @register_to_config
 def __init__(	self      :     str							,     SCREAMING_SNAKE_CASE      :     Union[str, Any]=2							,     SCREAMING_SNAKE_CASE      :     Optional[Any]=5							,     SCREAMING_SNAKE_CASE      :     str=(2, 5)							,     SCREAMING_SNAKE_CASE      :     Dict="for diffusion"							,     SCREAMING_SNAKE_CASE      :     Tuple=[1, 3]							,     SCREAMING_SNAKE_CASE      :     Any=[1, 3]							,     ):


      '''simple docstring'''






      pass







class     __a						(					A__ ):
 _lowerCAmelCase : Optional[int] 				=				'''config.json'''







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


      '''simple docstring'''






      pass







class     __a						(					unittest.TestCase ):







 def       __lowercase      (	self      :     str		):


      '''simple docstring'''






      with self.assertRaises(SCREAMING_SNAKE_CASE		):
           ConfigMixin.load_config("dummy_path"		)







 def       __lowercase      (	self      :     Tuple		):


      '''simple docstring'''






      UpperCamelCase__    :     Optional[Any]        =						SampleObject()
      UpperCamelCase__    :     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
      UpperCamelCase__    :     Any        =						SampleObject(_name_or_path="lalala"		)
      UpperCamelCase__    :     str        =						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__    :     Dict        =						SampleObject(c=6		)
      UpperCamelCase__    :     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.
      UpperCamelCase__    :     int        =						SampleObject(1							,     c=6		)
      UpperCamelCase__    :     Dict        =						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       __lowercase      (	self      :     int		):


      '''simple docstring'''






      UpperCamelCase__    :     int        =						SampleObject()
      UpperCamelCase__    :     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(SCREAMING_SNAKE_CASE		)
           UpperCamelCase__    :     Union[str, Any]        =						SampleObject.from_config(SampleObject.load_config(SCREAMING_SNAKE_CASE		)		)
           UpperCamelCase__    :     Optional[int]        =						new_obj.config

      # unfreeze configs
      UpperCamelCase__    :     List[Any]        =						dict(SCREAMING_SNAKE_CASE		)
      UpperCamelCase__    :     Any        =						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       __lowercase      (	self      :     Union[str, Any]		):


      '''simple docstring'''






      UpperCamelCase__    :     List[Any]        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     Optional[int]        =						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       __lowercase      (	self      :     Tuple		):


      '''simple docstring'''






      UpperCamelCase__    :     Optional[Any]        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     Tuple        =						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       __lowercase      (	self      :     Tuple		):


      '''simple docstring'''






      UpperCamelCase__    :     List[Any]        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     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       __lowercase      (	self      :     Optional[Any]		):


      '''simple docstring'''






      UpperCamelCase__    :     Any        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     str        =						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       __lowercase      (	self      :     str		):


      '''simple docstring'''






      UpperCamelCase__    :     Union[str, Any]        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     Dict        =						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__    :     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       __lowercase      (	self      :     Optional[Any]		):


      '''simple docstring'''






      UpperCamelCase__    :     List[str]        =						logging.get_logger("diffusers.configuration_utils"		)
      # 30 for warning
      logger.setLevel(30		)

      with CaptureLogger(SCREAMING_SNAKE_CASE		) as cap_logger:
           UpperCamelCase__    :     int        =						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       __lowercase      (	self      :     List[str]		):


      '''simple docstring'''






      UpperCamelCase__    :     List[str]        =						SampleObject()

      UpperCamelCase__    :     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(SCREAMING_SNAKE_CASE		)

           # now loading it with SampleObject2 should put f into `_use_default_values`
           UpperCamelCase__    :     Dict        =						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__    :     Dict        =						SampleObjecta.from_config(config.config		)
      assert new_config.f == [5, 4]

      config.config._use_default_values.pop()
      UpperCamelCase__    :     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]







from __future__ import annotations







def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase    )				->			list[int]:
     if not list_of_ints:
          return []

     if min(__lowerCAmelCase    ) < 0:
          raise ValueError("All numbers must be positive"    )

     UpperCamelCase__    :     Dict        =						max(len(bin(__lowerCAmelCase    )[2:]    ) for x in list_of_ints    )
     return _msd_radix_sort(__lowerCAmelCase      ,					__lowerCAmelCase    )







def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase      ,					__lowerCAmelCase    )				->			list[int]:
     if bit_position == 0 or len(__lowerCAmelCase    ) in [0, 1]:
          return list_of_ints

     UpperCamelCase__    :     Union[str, Any]        =						[]
     UpperCamelCase__    :     Dict        =						[]
     # Split numbers based on bit at bit_position from the right
     for number in list_of_ints:
          if (number >> (bit_position - 1)) & 1:
               # number has a one at bit bit_position
               ones.append(__lowerCAmelCase    )
          else:
               # number has a zero at bit bit_position
               zeros.append(__lowerCAmelCase    )

    # recursively split both lists further
     UpperCamelCase__    :     str        =						_msd_radix_sort(__lowerCAmelCase      ,					bit_position - 1    )
     UpperCamelCase__    :     Optional[Any]        =						_msd_radix_sort(__lowerCAmelCase      ,					bit_position - 1    )

     # recombine lists
     UpperCamelCase__    :     Optional[int]        =						zeros
     res.extend(__lowerCAmelCase    )

     return res







def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase    )				->			Dict:
     UpperCamelCase__    :     Optional[int]        =						len(__lowerCAmelCase    )
     if not list_of_ints or length == 1:
          return

     if min(__lowerCAmelCase    ) < 0:
          raise ValueError("All numbers must be positive"    )

     UpperCamelCase__    :     int        =						max(len(bin(__lowerCAmelCase    )[2:]    ) for x in list_of_ints    )
     _msd_radix_sort_inplace(__lowerCAmelCase      ,					__lowerCAmelCase      ,					0      ,					__lowerCAmelCase    )







def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase    )				->			List[str]:
     if bit_position == 0 or end_index - begin_index <= 1:
          return

     bit_position -= 1

     UpperCamelCase__    :     Any        =						begin_index
     UpperCamelCase__    :     List[str]        =						end_index - 1
     while i <= j:
          UpperCamelCase__    :     Tuple        =						False
          if not (list_of_ints[i] >> bit_position) & 1:
               # found zero at the beginning
               i += 1
               UpperCamelCase__    :     Any        =						True
          if (list_of_ints[j] >> bit_position) & 1:
               # found one at the end
               j -= 1
               UpperCamelCase__    :     Dict        =						True

          if changed:
               continue

          UpperCamelCase__       ,  UpperCamelCase__    :     Any        =						list_of_ints[j], list_of_ints[i]
          j -= 1
          if j != i:
               i += 1

     _msd_radix_sort_inplace(__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase    )
     _msd_radix_sort_inplace(__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase    )


if __name__ == "__main__":
 import doctest

 doctest.testmod()