

import copy
import re






class 	A_		:
							_UpperCAmelCase   :  List[Any]										=				'''hp'''
							_UpperCAmelCase   :  Any										=				{}
							_UpperCAmelCase   :  List[Any]										=				None
							@classmethod
							def    lowerCAmelCase					(		cls		:      List[str]       ,SCREAMING_SNAKE_CASE__		:      List[str]       ,SCREAMING_SNAKE_CASE__		:      str):
								__lowerCamelCase    :    List[str] 	=			prefix
								__lowerCamelCase    :    List[str] 	=			defaults
								cls.build_naming_info()
							@staticmethod
							def    lowerCAmelCase					(		SCREAMING_SNAKE_CASE__		:      int       ,SCREAMING_SNAKE_CASE__		:      Optional[Any]):
								if len(__SCREAMING_SNAKE_CASE) == 0:
									return ""
								__lowerCamelCase    :    int 	=			None
								if any(char.isdigit() for char in word):
									raise Exception(F"Parameters should not contain numbers: '{word}' contains a number")
								if word in info["short_word"]:
									return info["short_word"][word]
								for prefix_len in range(1       ,len(__SCREAMING_SNAKE_CASE) + 1):
									__lowerCamelCase    :    Tuple 	=			word[:prefix_len]
									if prefix in info["reverse_short_word"]:
										continue
									else:
										__lowerCamelCase    :    int 	=			prefix
										break

								if short_word is None:
									# Paranoid fallback
									def int_to_alphabetic(SCREAMING_SNAKE_CASE__		:      Optional[int]):
										__lowerCamelCase    :    Dict 	=			''
										while integer != 0:
											__lowerCamelCase    :    Any 	=			chr(ord('A') + integer % 1_0) + s
											integer //= 1_0
										return s

									__lowerCamelCase    :    Dict 	=			0
									while True:
										__lowerCamelCase    :    Tuple 	=			word + '#' + int_to_alphabetic(__SCREAMING_SNAKE_CASE)
										if sword in info["reverse_short_word"]:
											continue
										else:
											__lowerCamelCase    :    Union[str, Any] 	=			sword
											break

								__lowerCamelCase    :    Optional[int] 	=			short_word
								__lowerCamelCase    :    Union[str, Any] 	=			word
								return short_word
							@staticmethod
							def    lowerCAmelCase					(		SCREAMING_SNAKE_CASE__		:      Optional[int]       ,SCREAMING_SNAKE_CASE__		:      Union[str, Any]):
								__lowerCamelCase    :    List[Any] 	=			param_name.split('_')

								__lowerCamelCase    :    Dict 	=			[TrialShortNamer.shortname_for_word(__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE) for word in words]

								# We try to create a separatorless short name, but if there is a collision we have to fallback
								# to a separated short name
								__lowerCamelCase    :    Dict 	=			['', '_']

								for separator in separators:
									__lowerCamelCase    :    Any 	=			separator.join(__SCREAMING_SNAKE_CASE)
									if shortname not in info["reverse_short_param"]:
										__lowerCamelCase    :    Dict 	=			shortname
										__lowerCamelCase    :    List[str] 	=			param_name
										return shortname

								return param_name
							@staticmethod
							def    lowerCAmelCase					(		SCREAMING_SNAKE_CASE__		:      Union[str, Any]       ,SCREAMING_SNAKE_CASE__		:      Any):
								__lowerCamelCase    :    Any 	=			TrialShortNamer.shortname_for_key(__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE)
								__lowerCamelCase    :    Optional[Any] 	=			short_name
								__lowerCamelCase    :    List[str] 	=			param_name
							@classmethod
							def    lowerCAmelCase					(		cls		:      Optional[Any]):
								if cls.NAMING_INFO is not None:
									return

								__lowerCamelCase    :    int 	=			{
								    'short_word': {},
								    'reverse_short_word': {},
								    'short_param': {},
								    'reverse_short_param': {},
								}

								__lowerCamelCase    :    Union[str, Any] 	=			list(cls.DEFAULTS.keys())

								for k in field_keys:
									cls.add_new_param_name(__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE)

								__lowerCamelCase    :    Tuple 	=			info
							@classmethod
							def    lowerCAmelCase					(		cls		:      Optional[int]       ,SCREAMING_SNAKE_CASE__		:      List[str]):
								cls.build_naming_info()
								assert cls.PREFIX is not None
								__lowerCamelCase    :    List[Any] 	=			[copy.copy(cls.PREFIX)]

								for k, v in params.items():
									if k not in cls.DEFAULTS:
										raise Exception(F"You should provide a default value for the param name {k} with value {v}")
									if v == cls.DEFAULTS[k]:
										# The default value is not added to the name
										continue

									__lowerCamelCase    :    Optional[int] 	=			cls.NAMING_INFO['short_param'][k]

									if isinstance(__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE):
										__lowerCamelCase    :    List[Any] 	=			1 if v else 0

									__lowerCamelCase    :    str 	=			'' if isinstance(__SCREAMING_SNAKE_CASE       ,(int, float)) else '-'
									__lowerCamelCase    :    List[str] 	=			F"{key}{sep}{v}"
									name.append(__SCREAMING_SNAKE_CASE)

								return "_".join(__SCREAMING_SNAKE_CASE)


							@classmethod
							def    lowerCAmelCase					(		cls		:      Optional[int]       ,SCREAMING_SNAKE_CASE__		:      Tuple):
								__lowerCamelCase    :    Any 	=			repr[len(cls.PREFIX) + 1 :]
								if repr == "":
									__lowerCamelCase    :    Optional[int] 	=			[]
								else:
									__lowerCamelCase    :    str 	=			repr.split('_')

								__lowerCamelCase    :    Optional[Any] 	=			{}

								for value in values:
									if "-" in value:
										__lowerCamelCase	,			__lowerCamelCase    :    List[str] 	=			value.split('-')
									else:
										__lowerCamelCase    :    Union[str, Any] 	=			re.sub('[0-9.]'       ,''       ,__SCREAMING_SNAKE_CASE)
										__lowerCamelCase    :    str 	=			float(re.sub('[^0-9.]'       ,''       ,__SCREAMING_SNAKE_CASE))

									__lowerCamelCase    :    Any 	=			cls.NAMING_INFO['reverse_short_param'][p_k]

									__lowerCamelCase    :    List[Any] 	=			p_v

								for k in cls.DEFAULTS:
									if k not in parameters:
										__lowerCamelCase    :    List[Any] 	=			cls.DEFAULTS[k]

								return parameters







import unittest

import numpy as np

from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    load_numpy,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)


if is_onnx_available():
					import onnxruntime as ort






@nightly
@require_onnxruntime
@require_torch_gpu
class 	A_		(	unittest.TestCase    ):
							@property
							def    lowerCAmelCase					(		self		:      Union[str, Any]):
								return (
								    "CUDAExecutionProvider",
								    {
								        "gpu_mem_limit": "15000000000",  # 15GB
								        "arena_extend_strategy": "kSameAsRequested",
								    },
								)
							@property
							def    lowerCAmelCase					(		self		:      Optional[Any]):
								__lowerCamelCase    :    Optional[int] 	=			ort.SessionOptions()
								__lowerCamelCase    :    Tuple 	=			False
								return options


							def    lowerCAmelCase					(		self		:      Any):
								__lowerCamelCase    :    Tuple 	=			load_image(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/overture-creations-5sI6fQgYIuo.png')
								__lowerCamelCase    :    List[str] 	=			load_image(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/overture-creations-5sI6fQgYIuo_mask.png')
								__lowerCamelCase    :    Optional[int] 	=			load_numpy(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy')

								# using the PNDM scheduler by default
								__lowerCamelCase    :    Dict 	=			OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
								    'CompVis/stable-diffusion-v1-4'       ,revision='onnx'       ,safety_checker=SCREAMING_SNAKE_CASE__       ,feature_extractor=SCREAMING_SNAKE_CASE__       ,provider=self.gpu_provider       ,sess_options=self.gpu_options       ,)
								pipe.set_progress_bar_config(disable=SCREAMING_SNAKE_CASE__)

								__lowerCamelCase    :    Union[str, Any] 	=			'A red cat sitting on a park bench'

								__lowerCamelCase    :    Any 	=			np.random.RandomState(0)
								__lowerCamelCase    :    List[Any] 	=			pipe(
								    prompt=SCREAMING_SNAKE_CASE__       ,image=SCREAMING_SNAKE_CASE__       ,mask_image=SCREAMING_SNAKE_CASE__       ,strength=0.75       ,guidance_scale=7.5       ,num_inference_steps=1_5       ,generator=SCREAMING_SNAKE_CASE__       ,output_type='np'       ,)

								__lowerCamelCase    :    Union[str, Any] 	=			output.images[0]

								assert image.shape == (5_1_2, 5_1_2, 3)
								assert np.abs(expected_image - image).max() < 1E-2




