






from datetime import datetime as dt
import os

from github import Github


lowerCamelCase : Dict						   =       [
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]
def       snake_case_		(     ):
							__lowercase      :							str				=     Github(os.environ["""GITHUB_TOKEN"""]      )
							__lowercase      :							Optional[int]				=     g.get_repo("""huggingface/transformers"""      )
							__lowercase      :							Any				=     repo.get_issues(state="""open"""      )

							for issue in open_issues:
														__lowercase      :							int				=     sorted([comment for comment in issue.get_comments()]       ,       key=lambda lowerCAmelCase_      : i.created_at       ,       reverse=lowerCAmelCase_      )
														__lowercase      :							List[Any]				=     comments[0] if len(lowerCAmelCase_      ) > 0 else None
														if (
														    last_comment is not None
														    and last_comment.user.login == "github-actions[bot]"
														    and (dt.utcnow() - issue.updated_at).days > 7
														    and (dt.utcnow() - issue.created_at).days >= 30
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
														):
																					# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
																					issue.edit(state="""closed"""      )
														elif (
														    (dt.utcnow() - issue.updated_at).days > 23
														    and (dt.utcnow() - issue.created_at).days >= 30
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
														):
																					# print(f"Would add stale comment to {issue.number}")
																					issue.create_comment(
																					    """This issue has been automatically marked as stale because it has not had """
																					    """recent activity. If you think this still needs to be addressed """
																					    """please comment on this thread.\n\nPlease note that issues that do not follow the """
																					    """[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) """
																					    """are likely to be ignored."""      )


if __name__ == "__main__":
	main()







lowerCamelCase : List[str]						   =       '''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