
'''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 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'config.json'

  @register_to_config
  def __init__(self	:			Optional[Any]						,			lowerCAmelCase_	:			Any=2						,			lowerCAmelCase_	:			Dict=5						,			lowerCAmelCase_	:			Tuple=(2, 5)						,			lowerCAmelCase_	:			int="for diffusion"						,			lowerCAmelCase_	:			List[str]=[1, 3]						,			) ->							Any:
        pass



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'config.json'

  @register_to_config
  def __init__(self	:			Any						,			lowerCAmelCase_	:			Dict=2						,			lowerCAmelCase_	:			List[str]=5						,			lowerCAmelCase_	:			Any=(2, 5)						,			lowerCAmelCase_	:			Optional[int]="for diffusion"						,			lowerCAmelCase_	:			List[str]=[1, 3]						,			) ->							List[str]:
        pass



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'config.json'

  @register_to_config
  def __init__(self	:			str						,			lowerCAmelCase_	:			Any=2						,			lowerCAmelCase_	:			List[str]=5						,			lowerCAmelCase_	:			Union[str, Any]=(2, 5)						,			lowerCAmelCase_	:			Tuple="for diffusion"						,			lowerCAmelCase_	:			List[Any]=[1, 3]						,			lowerCAmelCase_	:			Dict=[1, 3]						,			) ->							int:
        pass



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'config.json'

  @register_to_config
  def __init__(self	:			List[Any]						,			lowerCAmelCase_	:			Tuple=2						,			lowerCAmelCase_	:			List[str]=5						,			lowerCAmelCase_	:			int=(2, 5)						,			lowerCAmelCase_	:			int="for diffusion"						,			lowerCAmelCase_	:			List[str]=[1, 5]						,			lowerCAmelCase_	:			str=[5, 4]						,			) ->							Optional[int]:
        pass



class 			lowerCAmelCase__ (							unittest.TestCase							):



  '''simple docstring'''






  def 		_lowerCamelCase						(self	:			Tuple     ) ->							Dict:
        with self.assertRaises(lowerCAmelCase_     ):
              ConfigMixin.load_config("dummy_path"     )

  def 		_lowerCamelCase						(self	:			Optional[Any]     ) ->							Tuple:
        snake_case_    							=				SampleObject()
        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
        snake_case_    							=				SampleObject(_name_or_path="lalala"     )
        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
        snake_case_    							=				SampleObject(c=6     )
        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.
        snake_case_    							=				SampleObject(1						,			c=6     )
        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 		_lowerCamelCase						(self	:			Tuple     ) ->							Optional[int]:
        snake_case_    							=				SampleObject()
        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(lowerCAmelCase_     )
              snake_case_    							=				SampleObject.from_config(SampleObject.load_config(lowerCAmelCase_     )     )
              snake_case_    							=				new_obj.config

        # unfreeze configs
        snake_case_    							=				dict(lowerCAmelCase_     )
        snake_case_    							=				dict(lowerCAmelCase_     )

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

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger:
              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 		_lowerCamelCase						(self	:			Dict     ) ->							Dict:
        snake_case_    							=				logging.get_logger("diffusers.configuration_utils"     )
        # 30 for warning
        logger.setLevel(30     )

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger:
              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 		_lowerCamelCase						(self	:			str     ) ->							List[Any]:
        snake_case_    							=				logging.get_logger("diffusers.configuration_utils"     )
        # 30 for warning
        logger.setLevel(30     )

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger:
              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 		_lowerCamelCase						(self	:			List[str]     ) ->							Any:
        snake_case_    							=				logging.get_logger("diffusers.configuration_utils"     )
        # 30 for warning
        logger.setLevel(30     )

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger:
              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 		_lowerCamelCase						(self	:			Any     ) ->							Optional[Any]:
        snake_case_    							=				logging.get_logger("diffusers.configuration_utils"     )
        # 30 for warning
        logger.setLevel(30     )

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

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger_a:
              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 		_lowerCamelCase						(self	:			Optional[int]     ) ->							str:
        snake_case_    							=				logging.get_logger("diffusers.configuration_utils"     )
        # 30 for warning
        logger.setLevel(30     )

        with CaptureLogger(lowerCAmelCase_     ) as cap_logger:
              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 		_lowerCamelCase						(self	:			int     ) ->							Tuple:
        # 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],

        snake_case_    							=				SampleObject()

        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(lowerCAmelCase_     )

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

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

        config.config._use_default_values.pop()
        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]


from .number_theory.prime_numbers import next_prime




class  __lowerCAmelCase	:



 '''simple docstring'''

 def __init__(      self							:		List[Any]							,      lowerCamelCase							:		int							,      lowerCamelCase							:		int | None = None							,      lowerCamelCase							:		float | None = None							,      )			->				None:
        _UpperCamelCase  :							Tuple	    =	size_table
        _UpperCamelCase  :							Tuple	    =	[None] * self.size_table
        _UpperCamelCase  :							int	    =	0.7_5 if lim_charge is None else lim_charge
        _UpperCamelCase  :							Tuple	    =	1 if charge_factor is None else charge_factor
        _UpperCamelCase  :							list	    =	[]
        _UpperCamelCase  :							dict	    =	{}

 def        __snake_case       (      self							:		List[Any]	)			->				Union[str, Any]:
        return self._keys

 def        __snake_case       (      self							:		List[Any]	)			->				Optional[int]:
        return sum(1 for slot in self.values if slot is not None	) / (
            self.size_table * self.charge_factor
        )

 def        __snake_case       (      self							:		Union[str, Any]							,      lowerCamelCase							:		int	)			->				Any:
        return key % self.size_table

 def        __snake_case       (      self							:		Any							,      lowerCamelCase							:		Any	)			->				Optional[Any]:
        print(f"step {step_ord}"	)
        print(list(range(len(self.values	)	)	)	)
        print(self.values	)

 def        __snake_case       (      self							:		Tuple							,      lowerCamelCase							:		Optional[int]	)			->				Any:
        _UpperCamelCase  :							int	    =	1
        _UpperCamelCase  :							Union[str, Any]	    =	values
        for value in values:
               self.insert_data(lowerCamelCase	)
               self._step_by_step(lowerCamelCase	)
               i += 1

 def        __snake_case       (      self							:		Optional[Any]							,      lowerCamelCase							:		Any							,      lowerCamelCase							:		Optional[int]	)			->				Any:
        _UpperCamelCase  :							int	    =	data
        _UpperCamelCase  :							Optional[int]	    =	data

 def        __snake_case       (      self							:		Optional[int]							,      lowerCamelCase							:		Optional[int]							,      lowerCamelCase							:		str=None	)			->				List[Any]:
        _UpperCamelCase  :							Union[str, Any]	    =	self.hash_function(key + 1	)

        while self.values[new_key] is not None and self.values[new_key] != key:
               if self.values.count(lowerCamelCase	) > 0:
                      _UpperCamelCase  :							Optional[int]	    =	self.hash_function(new_key + 1	)
               else:
                      _UpperCamelCase  :							Tuple	    =	None
                      break

        return new_key

 def        __snake_case       (      self							:		Optional[Any]	)			->				Optional[Any]:
        _UpperCamelCase  :							Union[str, Any]	    =	[value for value in self.values if value is not None]
        _UpperCamelCase  :							Union[str, Any]	    =	next_prime(self.size_table							,      factor=2	)
        self._keys.clear()
        _UpperCamelCase  :							Tuple	    =	[None] * self.size_table  # hell's pointers D: don't DRY ;/
        for value in survivor_values:
               self.insert_data(lowerCamelCase	)

 def        __snake_case       (      self							:		Tuple							,      lowerCamelCase							:		str	)			->				Union[str, Any]:
        _UpperCamelCase  :							Dict	    =	self.hash_function(lowerCamelCase	)

        if self.values[key] is None:
               self._set_value(lowerCamelCase							,      lowerCamelCase	)

        elif self.values[key] == data:
               pass

        else:
               _UpperCamelCase  :							Tuple	    =	self._collision_resolution(lowerCamelCase							,      lowerCamelCase	)
               if collision_resolution is not None:
                      self._set_value(lowerCamelCase							,      lowerCamelCase	)
               else:
                      self.rehashing()
                      self.insert_data(lowerCamelCase	)



