





import unittest

from diffusers import __version__
from diffusers.utils import deprecate


class 					__magic_name__  (							unittest.TestCase							):





     """simple docstring"""



     __UpperCamelCase					    =     '''.'''.join([str(int(__version__.split('''.'''							)[0]							) + 1							)] + __version__.split('''.'''							)[1:]							)
     __UpperCamelCase					    =     '''0.0.1'''



     def 						SCREAMING_SNAKE_CASE		(							self       :List[str]  ):





        '''simple docstring'''




        A_					:				Union[str, Any]          =			{"deprecated_arg": 4}

        with self.assertWarns(snake_case  ) as warning:
           A_					:				Optional[int]          =			deprecate("deprecated_arg"			,      self.higher_version			,      "message"			,      take_from=snake_case  )

        assert output == 4
        assert (
            str(warning.warning  )
            == f"The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."
            " message"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :Optional[Any]  ):





        '''simple docstring'''




        A_					:				Union[str, Any]          =			{"deprecated_arg": 4}

        with self.assertWarns(snake_case  ) as warning:
           A_					:				Tuple          =			deprecate(("deprecated_arg", self.higher_version, "message")			,      take_from=snake_case  )

        assert output == 4
        assert (
            str(warning.warning  )
            == f"The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."
            " message"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :List[Any]  ):





        '''simple docstring'''




        A_					:				Optional[int]          =			{"deprecated_arg_1": 4, "deprecated_arg_2": 8}
        with self.assertWarns(snake_case  ) as warning:
           A_      ,						A_					:				Tuple          =			deprecate(
               ("deprecated_arg_1", self.higher_version, "Hey")			,      ("deprecated_arg_2", self.higher_version, "Hey")			,      take_from=snake_case			,      )
        assert output_a == 4
        assert output_a == 8
        assert (
            str(warning.warnings[0].message  )
            == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
            f" {self.higher_version}. Hey"
        )
        assert (
            str(warning.warnings[1].message  )
            == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
            f" {self.higher_version}. Hey"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :int  ):





        '''simple docstring'''




        A_					:				int          =			{"deprecated_arg": 4}

        with self.assertRaises(snake_case  ) as error:
           deprecate(("wrong_arg", self.higher_version, "message")			,      take_from=snake_case  )

        assert "test_deprecate_function_incorrect_arg in" in str(error.exception  )
        assert "line" in str(error.exception  )
        assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception  )



     def 						SCREAMING_SNAKE_CASE		(							self       :int  ):





        '''simple docstring'''




        with self.assertWarns(snake_case  ) as warning:
           deprecate(("deprecated_arg", self.higher_version, "message")  )

        assert (
            str(warning.warning  )
            == f"`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :int  ):





        '''simple docstring'''




        with self.assertWarns(snake_case  ) as warning:
           deprecate(
               ("deprecated_arg_1", self.higher_version, "Hey")			,      ("deprecated_arg_2", self.higher_version, "Hey")			,      )
        assert (
            str(warning.warnings[0].message  )
            == f"`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey"
        )
        assert (
            str(warning.warnings[1].message  )
            == f"`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :List[Any]  ):





        '''simple docstring'''




        class 					__magic_name__  :





             """simple docstring"""



             __UpperCamelCase					    =     5

        with self.assertWarns(snake_case  ) as warning:
           A_					:				Tuple          =			deprecate(("arg", self.higher_version, "message")			,      take_from=Args()  )

        assert arg == 5
        assert (
            str(warning.warning  )
            == f"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :Tuple  ):





        '''simple docstring'''




        class 					__magic_name__  :





             """simple docstring"""



             __UpperCamelCase					    =     5
             __UpperCamelCase					    =     7

        with self.assertWarns(snake_case  ) as warning:
           A_      ,						A_					:				Any          =			deprecate(
               ("arg", self.higher_version, "message")			,      ("foo", self.higher_version, "message")			,      ("does not exist", self.higher_version, "message")			,      take_from=Args()			,      )

        assert arg_a == 5
        assert arg_a == 7
        assert (
            str(warning.warning  )
            == f"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
        )
        assert (
            str(warning.warnings[0].message  )
            == f"The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"
        )
        assert (
            str(warning.warnings[1].message  )
            == f"The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :List[Any]  ):





        '''simple docstring'''




        A_					:				Optional[Any]          =			{"deprecated_arg": 4}

        with self.assertRaises(snake_case  ) as error:
           deprecate(("wrong_arg", self.lower_version, "message")			,      take_from=snake_case  )

        assert (
            str(error.exception  )
            == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
            f" {__version__} is >= {self.lower_version}"
        )



     def 						SCREAMING_SNAKE_CASE		(							self       :Any  ):





        '''simple docstring'''




        with self.assertWarns(snake_case  ) as warning:
           deprecate(("deprecated_arg", self.higher_version, "This message is better!!!")			,      standard_warn=snake_case  )

        assert str(warning.warning  ) == "This message is better!!!"





     def 						SCREAMING_SNAKE_CASE		(							self       :Union[str, Any]  ):





        '''simple docstring'''




        with self.assertWarns(snake_case  ) as warning:
           deprecate(("deprecated_arg", self.higher_version, "This message is better!!!")			,      standard_warn=snake_case  )
        assert str(warning.warning  ) == "This message is better!!!"
        assert "diffusers/tests/others/test_utils.py" in warning.filename







import torch
from torch import autograd


class 					__magic_name__  (							autograd.Function							):





     """simple docstring"""



     @staticmethod
     def 						SCREAMING_SNAKE_CASE		(							snake_case       :Any			,      snake_case       :torch.tensor			,      snake_case       :float			,      snake_case       :bool  ):





        '''simple docstring'''




        A_					:				int          =			inputs.numel()
        A_					:				str          =			int(0.005 * nb_elems  ) + 1
        if sigmoid:
           A_					:				List[Any]          =			(torch.sigmoid(snake_case  ) > threshold).type(inputs.type()  )
        else:
           A_					:				Optional[Any]          =			(inputs > threshold).type(inputs.type()  )
        if mask.sum() < nb_min:
           # We limit the pruning so that at least 0.5% (half a percent) of the weights are remaining
           A_					:				Tuple          =			inputs.flatten().kthvalue(max(nb_elems - nb_min			,      1  )  ).values
           A_					:				Optional[int]          =			(inputs > k_threshold).type(inputs.type()  )
        return mask





     @staticmethod
     def 						SCREAMING_SNAKE_CASE		(							snake_case       :Optional[int]			,      snake_case       :int  ):





        '''simple docstring'''




        return gradOutput, None, None




class 					__magic_name__  (							autograd.Function							):





     """simple docstring"""



     @staticmethod
     def 						SCREAMING_SNAKE_CASE		(							snake_case       :Tuple			,      snake_case       :torch.tensor			,      snake_case       :float  ):





        '''simple docstring'''




        A_					:				Tuple          =			inputs.clone()
        A_      ,						A_					:				Optional[int]          =			inputs.flatten().sort(descending=snake_case  )
        A_					:				Dict          =			int(threshold * inputs.numel()  )

        # flat_out and mask access the same memory.
        A_					:				str          =			mask.flatten()
        A_					:				List[Any]          =			0
        A_					:				List[str]          =			1
        return mask





     @staticmethod
     def 						SCREAMING_SNAKE_CASE		(							snake_case       :List[Any]			,      snake_case       :Optional[Any]  ):





        '''simple docstring'''




        return gradOutput, None




class 					__magic_name__  (							lowerCamelCase__							):





     """simple docstring"""



     @staticmethod
     def 						SCREAMING_SNAKE_CASE		(							snake_case       :torch.tensor			,      snake_case       :float  ):





        '''simple docstring'''




        A_					:				str          =			inputs.clone()
        A_      ,						A_					:				Optional[int]          =			inputs.abs().flatten().sort(descending=snake_case  )
        A_					:				int          =			int(threshold * inputs.numel()  )

        # flat_out and mask access the same memory.
        A_					:				List[str]          =			mask.flatten()
        A_					:				List[str]          =			0
        A_					:				Union[str, Any]          =			1
        return mask
