




import torch
import torch.nn.functional as F

from diffusers import VQDiffusionScheduler

from .test_schedulers import SchedulerCommonTest



class       lowercase_		(lowercase__   ):
						lowerCAmelCase__ 			=(VQDiffusionScheduler,)



						def   __a				( self  :      List[Any]				,       **snake_case__  :      Tuple     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       {
								    'num_vec_classes': 40_97,
								    'num_train_timesteps': 1_00,
								}

								config.update(**_A     )
								return config



						def   __a				( self  :      List[Any]				,       snake_case__  :      Optional[int]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       4
								SCREAMING_SNAKE_CASE_							=       8
								SCREAMING_SNAKE_CASE_							=       8

								SCREAMING_SNAKE_CASE_							=       torch.randint(0				,       _A				,       (batch_size, height * width)     )

								return sample



						@property
						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								assert False



						def   __a				( self  :      int				,       snake_case__  :      Dict     ):

								"""simple docstring"""

								def model(snake_case__  :      str				,       snake_case__  :      List[Any]				,       *snake_case__  :      int     ):
										SCREAMING_SNAKE_CASE_							=       sample.shape
										SCREAMING_SNAKE_CASE_							=       torch.rand((batch_size, num_vec_classes - 1, num_latent_pixels)     )
										SCREAMING_SNAKE_CASE_							=       F.log_softmax(logits.double()				,       dim=1     ).float()
										return return_value

								return model



						def   __a				( self  :      Optional[int]     ):

								"""simple docstring"""

								for timesteps in [2, 5, 1_00, 10_00]:
										self.check_over_configs(num_train_timesteps=_A     )



						def   __a				( self  :      int     ):

								"""simple docstring"""

								for num_vec_classes in [5, 1_00, 10_00, 40_00]:
										self.check_over_configs(num_vec_classes=_A     )



						def   __a				( self  :      List[str]     ):

								"""simple docstring"""

								for t in [0, 50, 99]:
										self.check_over_forward(time_step=_A     )






						def   __a				( self  :      Optional[Any]     ):

								"""simple docstring"""

								pass











from __future__ import annotations


def 				_a       (				lowerCAmelCase   )->  list[int]:
		if not list_of_ints:
				return []

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		return _msd_radix_sort(lowerCAmelCase						,	lowerCAmelCase   )


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

		SCREAMING_SNAKE_CASE_							=       []
		SCREAMING_SNAKE_CASE_							=       []
		# 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
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )

		# recombine lists
		SCREAMING_SNAKE_CASE_							=       zeros
		res.extend(lowerCAmelCase   )

		return res


def 				_a       (				lowerCAmelCase   )->  Dict:
		SCREAMING_SNAKE_CASE_							=       len(lowerCAmelCase   )
		if not list_of_ints or length == 1:
				return

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	0						,	lowerCAmelCase   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )->  Optional[int]:
		if bit_position == 0 or end_index - begin_index <= 1:
				return

		bit_position -= 1

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

				if changed:
						continue

				SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       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()