




from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_pt_objects import *  # noqa F403
else:
					from .scheduling_consistency_models import CMStochasticIterativeScheduler
					from .scheduling_ddim import DDIMScheduler
					from .scheduling_ddim_inverse import DDIMInverseScheduler
					from .scheduling_ddim_parallel import DDIMParallelScheduler
					from .scheduling_ddpm import DDPMScheduler
					from .scheduling_ddpm_parallel import DDPMParallelScheduler
					from .scheduling_deis_multistep import DEISMultistepScheduler
					from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
					from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
					from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
					from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
					from .scheduling_euler_discrete import EulerDiscreteScheduler
					from .scheduling_heun_discrete import HeunDiscreteScheduler
					from .scheduling_ipndm import IPNDMScheduler
					from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
					from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
					from .scheduling_karras_ve import KarrasVeScheduler
					from .scheduling_pndm import PNDMScheduler
					from .scheduling_repaint import RePaintScheduler
					from .scheduling_sde_ve import ScoreSdeVeScheduler
					from .scheduling_sde_vp import ScoreSdeVpScheduler
					from .scheduling_unclip import UnCLIPScheduler
					from .scheduling_unipc_multistep import UniPCMultistepScheduler
					from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
					from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_flax_objects import *  # noqa F403
else:
					from .scheduling_ddim_flax import FlaxDDIMScheduler
					from .scheduling_ddpm_flax import FlaxDDPMScheduler
					from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
					from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
					from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
					from .scheduling_pndm_flax import FlaxPNDMScheduler
					from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
					from .scheduling_utils_flax import (
					    FlaxKarrasDiffusionSchedulers,
					    FlaxSchedulerMixin,
					    FlaxSchedulerOutput,
					    broadcast_to_shape_from_left,
					)


try:
					if not (is_torch_available() and is_scipy_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
					from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
					if not (is_torch_available() and is_torchsde_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
					from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler








def      lowerCamelCase_						(			UpperCamelCase__							: str					,	UpperCamelCase__							: int )	->			list:





				"""simple docstring"""


				__lowerCamelCase									=       word.split()

				def justify(UpperCamelCase__							: list					,	UpperCamelCase__							: int					,	UpperCamelCase__							: int ) -> str:
								__lowerCamelCase									=       max_width - width
								__lowerCamelCase									=       len(UpperCamelCase__ )
								if len(UpperCamelCase__ ) == 1:
												# if there is only word in line
												# just insert overall_spaces_count for the remainder of line
												return line[0] + " " * overall_spaces_count
								else:
												__lowerCamelCase									=       words_count - 1
												# num_spaces_between_words_list[i] : tells you to insert
												# num_spaces_between_words_list[i] spaces
												# after word on line[i]
												__lowerCamelCase									=       spaces_to_insert_between_words * [
												    overall_spaces_count // spaces_to_insert_between_words
												]
												__lowerCamelCase									=       (
												    overall_spaces_count % spaces_to_insert_between_words
												)
												# distribute spaces via round robin to the left words
												for i in range(UpperCamelCase__ ):
																num_spaces_between_words_list[i] += 1
												__lowerCamelCase									=       []
												for i in range(UpperCamelCase__ ):
																# add the word
																aligned_words_list.append(line[i] )
																# add the spaces to insert
																aligned_words_list.append(num_spaces_between_words_list[i] * ' ' )
												# just add the last word to the sentence
												aligned_words_list.append(line[-1] )
												# join the aligned words list to form a justified line
												return "".join(UpperCamelCase__ )

				__lowerCamelCase									=       []
				__lowerCamelCase									=       []
				__lowerCamelCase									=       0
				for word in words:
								if width + len(UpperCamelCase__ ) + len(UpperCamelCase__ ) <= max_width:
												# keep adding words until we can fill out max_width
												# width = sum of length of all words (without overall_spaces_count)
												# len(word) = length of current word
												# len(line) = number of overall_spaces_count to insert between words
												line.append(UpperCamelCase__ )
												width += len(UpperCamelCase__ )
								else:
												# justify the line and add it to result
												answer.append(justify(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ ) )
												# reset new line and new width
												__lowerCamelCase			,		__lowerCamelCase									=       [word], len(UpperCamelCase__ )
				__lowerCamelCase									=       max_width - width - len(UpperCamelCase__ )
				answer.append(' '.join(UpperCamelCase__ ) + (remaining_spaces + 1) * ' ' )
				return answer


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

					testmod()


