


"""simple docstring"""







class  UpperCamelCase_	:

	"""simple docstring"""





	def __init__( self			:				Optional[Any]   )       ->	None:
						__SCREAMING_SNAKE_CASE						   =				{}  # Mapping from char to TrieNode
						__SCREAMING_SNAKE_CASE						   =				False




	def   UpperCAmelCase_      ( self			:				Tuple			,			UpperCAmelCase__			:				list[str]   )       ->	None:
						for word in words:
											self.insert(UpperCAmelCase__   )




	def   UpperCAmelCase_      ( self			:				List[str]			,			UpperCAmelCase__			:				str   )       ->	None:
						__SCREAMING_SNAKE_CASE						   =				self
						for char in word:
											if char not in curr.nodes:
																__SCREAMING_SNAKE_CASE						   =				TrieNode()
											__SCREAMING_SNAKE_CASE						   =				curr.nodes[char]
						__SCREAMING_SNAKE_CASE						   =				True




	def   UpperCAmelCase_      ( self			:				Tuple			,			UpperCAmelCase__			:				str   )       ->	bool:
						__SCREAMING_SNAKE_CASE						   =				self
						for char in word:
											if char not in curr.nodes:
																return False
											__SCREAMING_SNAKE_CASE						   =				curr.nodes[char]
						return curr.is_leaf




	def   UpperCAmelCase_      ( self			:				List[Any]			,			UpperCAmelCase__			:				str   )       ->	None:

						def _delete(UpperCAmelCase__			:				TrieNode			,			UpperCAmelCase__			:				str			,			UpperCAmelCase__			:				int   ) -> bool:
											if index == len(UpperCAmelCase__   ):
																# If word does not exist
																if not curr.is_leaf:
																					return False
																__SCREAMING_SNAKE_CASE						   =				False
																return len(curr.nodes   ) == 0
											__SCREAMING_SNAKE_CASE						   =				word[index]
											__SCREAMING_SNAKE_CASE						   =				curr.nodes.get(UpperCAmelCase__   )
											# If char not in current trie node
											if not char_node:
																return False
											# Flag to check if node can be deleted
											__SCREAMING_SNAKE_CASE						   =				_delete(UpperCAmelCase__			,			UpperCAmelCase__			,			index + 1   )
											if delete_curr:
																del curr.nodes[char]
																return len(curr.nodes   ) == 0
											return delete_curr

						_delete(self			,			UpperCAmelCase__			,			0   )




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					if node.is_leaf:
										print(lowerCAmelCase_  ,						end=" "   )

					for key, value in node.nodes.items():
										print_words(lowerCAmelCase_  ,						word + key   )




def    UpperCAmelCase__       ():




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				"banana bananas bandana band apple all beast".split()
					__SCREAMING_SNAKE_CASE						   =				TrieNode()
					root.insert_many(lowerCAmelCase_   )
					# print_words(root, "")
					assert all(root.find(lowerCAmelCase_   ) for word in words   )
					assert root.find("banana"   )
					assert not root.find("bandanas"   )
					assert not root.find("apps"   )
					assert root.find("apple"   )
					assert root.find("all"   )
					root.delete("all"   )
					assert not root.find("all"   )
					root.delete("banana"   )
					assert not root.find("banana"   )
					assert root.find("bananas"   )
					return True




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					print(str(lowerCAmelCase_   )  ,						"works!" if passes else "doesn't work :("   )




def    UpperCAmelCase__       ():




					'''simple docstring'''


					assert test_trie()




def    UpperCAmelCase__       ():




					'''simple docstring'''


					print_results("Testing trie functionality"  ,						test_trie()   )


if __name__ == "__main__":
		main()



a__				=		'''0.18.2'''

from .configuration_utils import ConfigMixin
from .utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_onnx_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    logging,
)


try:
			if not is_onnx_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_onnx_objects import *  # noqa F403
else:
			from .pipelines import OnnxRuntimeModel

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_pt_objects import *  # noqa F403
else:
			from .models import (
			    AutoencoderKL,
			    ControlNetModel,
			    ModelMixin,
			    PriorTransformer,
			    TaFilmDecoder,
			    TransformeraDModel,
			    UNetaDModel,
			    UNetaDConditionModel,
			    UNetaDModel,
			    UNetaDConditionModel,
			    VQModel,
			)
			from .optimization import (
			    get_constant_schedule,
			    get_constant_schedule_with_warmup,
			    get_cosine_schedule_with_warmup,
			    get_cosine_with_hard_restarts_schedule_with_warmup,
			    get_linear_schedule_with_warmup,
			    get_polynomial_decay_schedule_with_warmup,
			    get_scheduler,
			)
			from .pipelines import (
			    AudioPipelineOutput,
			    ConsistencyModelPipeline,
			    DanceDiffusionPipeline,
			    DDIMPipeline,
			    DDPMPipeline,
			    DiffusionPipeline,
			    DiTPipeline,
			    ImagePipelineOutput,
			    KarrasVePipeline,
			    LDMPipeline,
			    LDMSuperResolutionPipeline,
			    PNDMPipeline,
			    RePaintPipeline,
			    ScoreSdeVePipeline,
			)
			from .schedulers import (
			    CMStochasticIterativeScheduler,
			    DDIMInverseScheduler,
			    DDIMParallelScheduler,
			    DDIMScheduler,
			    DDPMParallelScheduler,
			    DDPMScheduler,
			    DEISMultistepScheduler,
			    DPMSolverMultistepInverseScheduler,
			    DPMSolverMultistepScheduler,
			    DPMSolverSinglestepScheduler,
			    EulerAncestralDiscreteScheduler,
			    EulerDiscreteScheduler,
			    HeunDiscreteScheduler,
			    IPNDMScheduler,
			    KarrasVeScheduler,
			    KDPMaAncestralDiscreteScheduler,
			    KDPMaDiscreteScheduler,
			    PNDMScheduler,
			    RePaintScheduler,
			    SchedulerMixin,
			    ScoreSdeVeScheduler,
			    UnCLIPScheduler,
			    UniPCMultistepScheduler,
			    VQDiffusionScheduler,
			)
			from .training_utils import EMAModel

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 .schedulers 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 .schedulers import DPMSolverSDEScheduler

try:
			if not (is_torch_available() and is_transformers_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
			from .pipelines import (
			    AltDiffusionImgaImgPipeline,
			    AltDiffusionPipeline,
			    AudioLDMPipeline,
			    CycleDiffusionPipeline,
			    IFImgaImgPipeline,
			    IFImgaImgSuperResolutionPipeline,
			    IFInpaintingPipeline,
			    IFInpaintingSuperResolutionPipeline,
			    IFPipeline,
			    IFSuperResolutionPipeline,
			    ImageTextPipelineOutput,
			    KandinskyImgaImgPipeline,
			    KandinskyInpaintPipeline,
			    KandinskyPipeline,
			    KandinskyPriorPipeline,
			    KandinskyVaaControlnetImgaImgPipeline,
			    KandinskyVaaControlnetPipeline,
			    KandinskyVaaImgaImgPipeline,
			    KandinskyVaaInpaintPipeline,
			    KandinskyVaaPipeline,
			    KandinskyVaaPriorEmbaEmbPipeline,
			    KandinskyVaaPriorPipeline,
			    LDMTextToImagePipeline,
			    PaintByExamplePipeline,
			    SemanticStableDiffusionPipeline,
			    ShapEImgaImgPipeline,
			    ShapEPipeline,
			    StableDiffusionAttendAndExcitePipeline,
			    StableDiffusionControlNetImgaImgPipeline,
			    StableDiffusionControlNetInpaintPipeline,
			    StableDiffusionControlNetPipeline,
			    StableDiffusionDepthaImgPipeline,
			    StableDiffusionDiffEditPipeline,
			    StableDiffusionImageVariationPipeline,
			    StableDiffusionImgaImgPipeline,
			    StableDiffusionInpaintPipeline,
			    StableDiffusionInpaintPipelineLegacy,
			    StableDiffusionInstructPixaPixPipeline,
			    StableDiffusionLatentUpscalePipeline,
			    StableDiffusionLDMaDPipeline,
			    StableDiffusionModelEditingPipeline,
			    StableDiffusionPanoramaPipeline,
			    StableDiffusionParadigmsPipeline,
			    StableDiffusionPipeline,
			    StableDiffusionPipelineSafe,
			    StableDiffusionPixaPixZeroPipeline,
			    StableDiffusionSAGPipeline,
			    StableDiffusionUpscalePipeline,
			    StableUnCLIPImgaImgPipeline,
			    StableUnCLIPPipeline,
			    TextToVideoSDPipeline,
			    TextToVideoZeroPipeline,
			    UnCLIPImageVariationPipeline,
			    UnCLIPPipeline,
			    UniDiffuserModel,
			    UniDiffuserPipeline,
			    UniDiffuserTextDecoder,
			    VersatileDiffusionDualGuidedPipeline,
			    VersatileDiffusionImageVariationPipeline,
			    VersatileDiffusionPipeline,
			    VersatileDiffusionTextToImagePipeline,
			    VideoToVideoSDPipeline,
			    VQDiffusionPipeline,
			)

try:
			if not (is_torch_available() and is_transformers_available() and is_invisible_watermark_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_torch_and_transformers_and_invisible_watermark_objects import *  # noqa F403
else:
			from .pipelines import StableDiffusionXLImgaImgPipeline, StableDiffusionXLPipeline

try:
			if not (is_torch_available() and is_transformers_available() and is_k_diffusion_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
			from .pipelines import StableDiffusionKDiffusionPipeline

try:
			if not (is_torch_available() and is_transformers_available() and is_onnx_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_torch_and_transformers_and_onnx_objects import *  # noqa F403
else:
			from .pipelines import (
			    OnnxStableDiffusionImgaImgPipeline,
			    OnnxStableDiffusionInpaintPipeline,
			    OnnxStableDiffusionInpaintPipelineLegacy,
			    OnnxStableDiffusionPipeline,
			    OnnxStableDiffusionUpscalePipeline,
			    StableDiffusionOnnxPipeline,
			)

try:
			if not (is_torch_available() and is_librosa_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_torch_and_librosa_objects import *  # noqa F403
else:
			from .pipelines import AudioDiffusionPipeline, Mel

try:
			if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
			from .pipelines import SpectrogramDiffusionPipeline

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_flax_objects import *  # noqa F403
else:
			from .models.controlnet_flax import FlaxControlNetModel
			from .models.modeling_flax_utils import FlaxModelMixin
			from .models.unet_ad_condition_flax import FlaxUNetaDConditionModel
			from .models.vae_flax import FlaxAutoencoderKL
			from .pipelines import FlaxDiffusionPipeline
			from .schedulers import (
			    FlaxDDIMScheduler,
			    FlaxDDPMScheduler,
			    FlaxDPMSolverMultistepScheduler,
			    FlaxKarrasVeScheduler,
			    FlaxLMSDiscreteScheduler,
			    FlaxPNDMScheduler,
			    FlaxSchedulerMixin,
			    FlaxScoreSdeVeScheduler,
			)


try:
			if not (is_flax_available() and is_transformers_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_flax_and_transformers_objects import *  # noqa F403
else:
			from .pipelines import (
			    FlaxStableDiffusionControlNetPipeline,
			    FlaxStableDiffusionImgaImgPipeline,
			    FlaxStableDiffusionInpaintPipeline,
			    FlaxStableDiffusionPipeline,
			)

try:
			if not (is_note_seq_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from .utils.dummy_note_seq_objects import *  # noqa F403
else:
			from .pipelines import MidiProcessor



