
"""simple docstring"""







import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Optional[Any]:







							"""simple docstring"""


							return x + 2







class 							__magic_name__     (		unittest.TestCase   ):





					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       "x = 3"
												__snake_case     			=       {}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												assert result == 3
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3}    )

												__snake_case     			=       "x = y"
												__snake_case     			=       {"y": 5}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												# evaluate returns the value of the last assignment.
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 5, "y": 5}    )





					def 							lowerCAmelCase      (				self   :							Optional[Any]    ):
												__snake_case     			=       "y = add_two(x)"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"add_two": add_two}							,						state=__UpperCamelCase    )
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "y": 5}    )

												# Won't work without the tool
												with CaptureStdout() as out:
																			__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												assert result is None
												assert "tried to execute add_two" in out.out





					def 							lowerCAmelCase      (				self   :							Optional[Any]    ):
												__snake_case     			=       "x = 3"
												__snake_case     			=       {}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												assert result == 3
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3}    )





					def 							lowerCAmelCase      (				self   :							List[str]    ):
												__snake_case     			=       "test_dict = {'x': x, 'y': add_two(x)}"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"add_two": add_two}							,						state=__UpperCamelCase    )
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "y": 5}    )
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "test_dict": {"x": 3, "y": 5}}    )





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       "x = 3\ny = 5"
												__snake_case     			=       {}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												# evaluate returns the value of the last assignment.
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "y": 5}    )





					def 							lowerCAmelCase      (				self   :							Optional[int]    ):
												__snake_case     			=       "text = f'This is x: {x}.'"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												# evaluate returns the value of the last assignment.
												assert result == "This is x: 3."
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "text": "This is x: 3."}    )





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												__snake_case     			=       "if x <= 3:\n    y = 2\nelse:\n    y = 5"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												# evaluate returns the value of the last assignment.
												assert result == 2
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "y": 2}    )

												__snake_case     			=       {"x": 8}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												# evaluate returns the value of the last assignment.
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 8, "y": 5}    )





					def 							lowerCAmelCase      (				self   :							str    ):
												__snake_case     			=       "test_list = [x, add_two(x)]"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"add_two": add_two}							,						state=__UpperCamelCase    )
												self.assertListEqual(__UpperCamelCase							,						[3, 5]    )
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "test_list": [3, 5]}    )





					def 							lowerCAmelCase      (				self   :							List[str]    ):
												__snake_case     			=       "y = x"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{}							,						state=__UpperCamelCase    )
												assert result == 3
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "y": 3}    )





					def 							lowerCAmelCase      (				self   :							Any    ):
												__snake_case     			=       "test_list = [x, add_two(x)]\ntest_list[1]"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"add_two": add_two}							,						state=__UpperCamelCase    )
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "test_list": [3, 5]}    )

												__snake_case     			=       "test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"
												__snake_case     			=       {"x": 3}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"add_two": add_two}							,						state=__UpperCamelCase    )
												assert result == 5
												self.assertDictEqual(__UpperCamelCase							,						{"x": 3, "test_dict": {"x": 3, "y": 5}}    )





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       "x = 0\nfor i in range(3):\n    x = i"
												__snake_case     			=       {}
												__snake_case     			=       evaluate(__UpperCamelCase							,						{"range": range}							,						state=__UpperCamelCase    )
												assert result == 2
												self.assertDictEqual(__UpperCamelCase							,						{"x": 2, "i": 2}    )


"""simple docstring"""







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 							__magic_name__     (		unittest.TestCase   ):





					@property
					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												return (
												    "CUDAExecutionProvider",
												    {
												        "gpu_mem_limit": "15000000000",  # 15GB
												        "arena_extend_strategy": "kSameAsRequested",
												    },
												)





					@property
					def 							lowerCAmelCase      (				self   :							str    ):
												__snake_case     			=       ort.SessionOptions()
												__snake_case     			=       False
												return options





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       load_image(
												    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
												    "/in_paint/overture-creations-5sI6fQgYIuo.png"    )
												__snake_case     			=       load_image(
												    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
												    "/in_paint/overture-creations-5sI6fQgYIuo_mask.png"    )
												__snake_case     			=       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
												__snake_case     			=       OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
												    "CompVis/stable-diffusion-v1-4"							,						revision="onnx"							,						safety_checker=snake_case_							,						feature_extractor=snake_case_							,						provider=self.gpu_provider							,						sess_options=self.gpu_options							,						)
												pipe.set_progress_bar_config(disable=snake_case_    )

												__snake_case     			=       "A red cat sitting on a park bench"

												__snake_case     			=       np.random.RandomState(0    )
												__snake_case     			=       pipe(
												    prompt=snake_case_							,						image=snake_case_							,						mask_image=snake_case_							,						strength=0.75							,						guidance_scale=7.5							,						num_inference_steps=15							,						generator=snake_case_							,						output_type="np"							,						)

												__snake_case     			=       output.images[0]

												assert image.shape == (512, 512, 3)
												assert np.abs(expected_image - image    ).max() < 1e-2
