





'''simple docstring'''

from typing import Any, Callable, Dict, List, Optional, Union

import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer

from diffusers import (
    AutoencoderKL,
    DDIMScheduler,
    DiffusionPipeline,
    LMSDiscreteScheduler,
    PNDMScheduler,
    StableDiffusionImgaImgPipeline,
    StableDiffusionInpaintPipelineLegacy,
    StableDiffusionPipeline,
    UNetaDConditionModel,
)
from diffusers.configuration_utils import FrozenDict
from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
from diffusers.utils import deprecate, logging


lowercase_			       =				logging.get_logger(__name__)  # pylint: disable=invalid-name


class       a_  (       snake_case_ ):

    '''simple docstring'''
    UpperCamelCase									=				['''safety_checker''', '''feature_extractor''']


    def __init__(	self				,	A				,	A				,	A				,	A				,	A				,	A				,	A				,	A = True				,	)	->     List[Any]:
        super().__init__()
        if hasattr(scheduler.config				,	"""steps_offset""" ) and scheduler.config.steps_offset != 1:
            _SCREAMING_SNAKE_CASE             =    (
                f'The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`'
                f' should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure '
                """to update the config accordingly as leaving `steps_offset` might led to incorrect results"""
                """ in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"""
                """ it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"""
                """ file"""
            )
            deprecate("""steps_offset!=1"""				,	"""1.0.0"""				,	A				,	standard_warn=A )
            _SCREAMING_SNAKE_CASE             =    dict(scheduler.config )
            _SCREAMING_SNAKE_CASE             =    1
            _SCREAMING_SNAKE_CASE             =    FrozenDict(A )

        self.register_modules(
            vae=A				,	text_encoder=A				,	tokenizer=A				,	unet=A				,	scheduler=A				,	safety_checker=A				,	feature_extractor=A				,	)
        self.register_to_config(requires_safety_checker=A )


    @property
    def     snake_case_(	self )	->     Dict[str, Any]:
        return {k: getattr(self				,	A ) for k in self.config.keys() if not k.startswith("""_""" )}


    def     snake_case_(	self				,	A = "auto" )	->     Union[str, Any]:
        if slice_size == "auto":
            # half the attention head size is usually a good trade-off between
            # speed and memory
            _SCREAMING_SNAKE_CASE             =    self.unet.config.attention_head_dim // 2
        self.unet.set_attention_slice(A )


    def     snake_case_(	self )	->     Any:
        self.enable_attention_slicing(A )


    @torch.no_grad()
    def     snake_case_(	self				,	A				,	A				,	A				,	A = 0.8				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	)	->     Union[str, Any]:
        # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
        return StableDiffusionInpaintPipelineLegacy(**self.components )(
            prompt=A				,	image=A				,	mask_image=A				,	strength=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	output_type=A				,	return_dict=A				,	callback=A				,	)


    @torch.no_grad()
    def     snake_case_(	self				,	A				,	A				,	A = 0.8				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	**A				,	)	->     Optional[Any]:
        # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
        return StableDiffusionImgaImgPipeline(**self.components )(
            prompt=A				,	image=A				,	strength=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	output_type=A				,	return_dict=A				,	callback=A				,	callback_steps=A				,	)





    @torch.no_grad()
    def     snake_case_(	self				,	A				,	A = 512				,	A = 512				,	A = 50				,	A = 7.5				,	A = None				,	A = 1				,	A = 0.0				,	A = None				,	A = None				,	A = "pil"				,	A = True				,	A = None				,	A = 1				,	)	->     Any:
        # For more information on how this function https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionPipeline
        return StableDiffusionPipeline(**self.components )(
            prompt=A				,	height=A				,	width=A				,	num_inference_steps=A				,	guidance_scale=A				,	negative_prompt=A				,	num_images_per_prompt=A				,	eta=A				,	generator=A				,	latents=A				,	output_type=A				,	return_dict=A				,	callback=A				,	callback_steps=A				,	)










'''simple docstring'''

def lowerCamelCase		(  __lowerCamelCase				:					float      , __lowerCamelCase				:					float      , __lowerCamelCase				:					float					)		->list[int]:
    if hue < 0 or hue > 360:
        raise Exception("""hue should be between 0 and 360"""					)

    if saturation < 0 or saturation > 1:
        raise Exception("""saturation should be between 0 and 1"""					)

    if value < 0 or value > 1:
        raise Exception("""value should be between 0 and 1"""					)

    _SCREAMING_SNAKE_CASE             =    value * saturation
    _SCREAMING_SNAKE_CASE             =    hue / 60
    _SCREAMING_SNAKE_CASE             =    chroma * (1 - abs(hue_section % 2 - 1					))
    _SCREAMING_SNAKE_CASE             =    value - chroma

    if hue_section >= 0 and hue_section <= 1:
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
    elif hue_section > 1 and hue_section <= 2:
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
    elif hue_section > 2 and hue_section <= 3:
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
    elif hue_section > 3 and hue_section <= 4:
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
    elif hue_section > 4 and hue_section <= 5:
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
    else:
        _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
        _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)

    return [red, green, blue]





def lowerCamelCase		(  __lowerCamelCase				:					int      , __lowerCamelCase				:					int      , __lowerCamelCase				:					int					)		->list[float]:
    if red < 0 or red > 255:
        raise Exception("""red should be between 0 and 255"""					)

    if green < 0 or green > 255:
        raise Exception("""green should be between 0 and 255"""					)

    if blue < 0 or blue > 255:
        raise Exception("""blue should be between 0 and 255"""					)

    _SCREAMING_SNAKE_CASE             =    red / 255
    _SCREAMING_SNAKE_CASE             =    green / 255
    _SCREAMING_SNAKE_CASE             =    blue / 255
    _SCREAMING_SNAKE_CASE             =    max(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
    _SCREAMING_SNAKE_CASE             =    value - min(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
    _SCREAMING_SNAKE_CASE             =    0 if value == 0 else chroma / value

    if chroma == 0:
        _SCREAMING_SNAKE_CASE             =    0.0
    elif value == float_red:
        _SCREAMING_SNAKE_CASE             =    60 * (0 + (float_green - float_blue) / chroma)
    elif value == float_green:
        _SCREAMING_SNAKE_CASE             =    60 * (2 + (float_blue - float_red) / chroma)
    else:
        _SCREAMING_SNAKE_CASE             =    60 * (4 + (float_red - float_green) / chroma)

    _SCREAMING_SNAKE_CASE             =    (hue + 360) % 360

    return [hue, saturation, value]






def lowerCamelCase		(  __lowerCamelCase				:					list[float]      , __lowerCamelCase				:					list[float]					)		->bool:
    _SCREAMING_SNAKE_CASE             =    abs(hsv_a[0] - hsv_a[0]					) < 0.2
    _SCREAMING_SNAKE_CASE             =    abs(hsv_a[1] - hsv_a[1]					) < 0.002
    _SCREAMING_SNAKE_CASE             =    abs(hsv_a[2] - hsv_a[2]					) < 0.002

    return check_hue and check_saturation and check_value



