from collections.abc import Sequence
from queue import Queue






class 		_lowerCamelCase		:
    def __init__(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase=None , lowerCAmelCase=None   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   List[Any]=      start
     SCREAMING_SNAKE_CASE__:   int=      end
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      val
     SCREAMING_SNAKE_CASE__:   Optional[int]=      (start + end) // 2
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      left
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      right



    def __repr__(  self   )       ->					List[Any]:
     return f'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'






class 		_lowerCamelCase		:
    def __init__(  self , lowerCAmelCase , lowerCAmelCase   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   List[Any]=      collection
     SCREAMING_SNAKE_CASE__:   Any=      function
     if self.collection:
      SCREAMING_SNAKE_CASE__:   List[str]=      self._build_tree(0 , len(lowerCAmelCase   ) - 1   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase   )       ->					Union[str, Any]:
     self._update_tree(self.root , lowerCAmelCase , lowerCAmelCase   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase   )       ->					List[Any]:
     return self._query_range(self.root , lowerCAmelCase , lowerCAmelCase   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase   )       ->					str:
     if start == end:
      return SegmentTreeNode(lowerCAmelCase , lowerCAmelCase , self.collection[start]   )
     SCREAMING_SNAKE_CASE__:   str=      (start + end) // 2
     SCREAMING_SNAKE_CASE__:   Optional[int]=      self._build_tree(lowerCAmelCase , lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   Dict=      self._build_tree(mid + 1 , lowerCAmelCase   )
     return SegmentTreeNode(lowerCAmelCase , lowerCAmelCase , self.fn(left.val , right.val   ) , lowerCAmelCase , lowerCAmelCase   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase   )       ->					List[Any]:
     if node.start == i and node.end == i:
      SCREAMING_SNAKE_CASE__:   Union[str, Any]=      val
      return
     if i <= node.mid:
      self._update_tree(node.left , lowerCAmelCase , lowerCAmelCase   )
     else:
      self._update_tree(node.right , lowerCAmelCase , lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   List[Any]=      self.fn(node.left.val , node.right.val   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase   )       ->					Optional[Any]:
     if node.start == i and node.end == j:
      return node.val

     if i <= node.mid:
      if j <= node.mid:
       # range in left child tree
       return self._query_range(node.left , lowerCAmelCase , lowerCAmelCase   )
      else:
       # range in left child tree and right child tree
       return self.fn(
           self._query_range(node.left , lowerCAmelCase , node.mid   ) , self._query_range(node.right , node.mid + 1 , lowerCAmelCase   ) , )
     else:
      # range in right child tree
      return self._query_range(node.right , lowerCAmelCase , lowerCAmelCase   )



    def 						UpperCamelCase_				(  self   )       ->					Optional[int]:
     if self.root is not None:
      SCREAMING_SNAKE_CASE__:   Union[str, Any]=      Queue()
      queue.put(self.root   )
      while not queue.empty():
       SCREAMING_SNAKE_CASE__:   List[str]=      queue.get()
       yield node

       if node.left is not None:
        queue.put(node.left   )

       if node.right is not None:
        queue.put(node.right   )


if __name__ == "__main__":
      import operator

      for fn in [operator.add, max, min]:
            print('*' * 5_0)
            lowercase_     :   str 				=				SegmentTree([2, 1, 5, 3, 4], fn)
            for node in arr.traverse():
                  print(node)
            print()

            arr.update(1, 5)
            for node in arr.traverse():
                  print(node)
            print()

            print(arr.query_range(3, 4))  # 7
            print(arr.query_range(2, 2))  # 5
            print(arr.query_range(1, 3))  # 13
            print()


lowercase_     :   Optional[int] 				=				'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

