





import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin



@skip_mps
class    __lowerCAmelCase			(     _a,	_a,	unittest.TestCase	):
			lowerCamelCase_	:	Any			     = IFInpaintingPipeline
			lowerCamelCase_	:	Dict			     = TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'''width''', '''height'''}
			lowerCamelCase_	:	Union[str, Any]			     = TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
			lowerCamelCase_	:	Optional[Any]			     = PipelineTesterMixin.required_optional_params - {'''latents'''}






			def      lowerCamelCase    (self       )	->  List[str]:


							'''simple docstring'''



							return self._get_dummy_components()






			def      lowerCamelCase    (self   ,				__magic_name__   ,				__magic_name__=0       )	->  Tuple:


							'''simple docstring'''



							if str(__magic_name__       ).startswith('''mps'''       ):
											snake_case_		:       Union[str, Any]           =    torch.manual_seed(__magic_name__       )
							else:
											snake_case_		:       str           =    torch.Generator(device=__magic_name__       ).manual_seed(__magic_name__       )

							snake_case_		:       Optional[int]           =    floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(__magic_name__       )       ).to(__magic_name__       )
							snake_case_		:       str           =    floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(__magic_name__       )       ).to(__magic_name__       )

							snake_case_		:       Dict           =    {
							    '''prompt''': '''A painting of a squirrel eating a burger''',
							    '''image''': image,
							    '''mask_image''': mask_image,
							    '''generator''': generator,
							    '''num_inference_steps''': 2,
							    '''output_type''': '''numpy''',
							}

							return inputs






			@unittest.skipIf(
			    torch_device != '''cuda''' or not is_xformers_available()   ,				reason='''XFormers attention is only available with CUDA and `xformers` installed'''   ,				)
			def      lowerCamelCase    (self       )	->  List[Any]:


							'''simple docstring'''



							self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3       )






			def      lowerCamelCase    (self       )	->  Optional[int]:


							'''simple docstring'''



							self._test_save_load_optional_components()






			@unittest.skipIf(torch_device != '''cuda'''   ,				reason='''float16 requires CUDA'''       )
			def      lowerCamelCase    (self       )	->  Optional[Any]:


							'''simple docstring'''



							super().test_save_load_floataa(expected_max_diff=1e-1       )






			def      lowerCamelCase    (self       )	->  List[str]:


							'''simple docstring'''



							self._test_attention_slicing_forward_pass(expected_max_diff=1e-2       )






			def      lowerCamelCase    (self       )	->  str:


							'''simple docstring'''



							self._test_save_load_local()






			def      lowerCamelCase    (self       )	->  str:


							'''simple docstring'''



							self._test_inference_batch_single_identical(
							    expected_max_diff=1e-2   ,				)








"""simple docstring"""







from __future__ import annotations

from scipy.special import comb  # type: ignore


class      UpperCamelCase		:






						def __init__(		self  :Any			, __magic_name__  :list[tuple[float, float]]				)      ->str:
										lowercase    :      List[Any]       = list_of_points
										# Degree determines the flexibility of the curve.
										# Degree = 1 will produce a straight line.
										lowercase    :      Optional[int]       = len(__magic_name__				) - 1






						def      __snake_case      (		self  :List[str]			, __magic_name__  :float				)      ->list[float]:
										assert 0 <= t <= 1, "Time t must be between 0 and 1."
										lowercase    :      list[float]       = []
										for i in range(len(self.list_of_points				)				):
														# basis function for each i
														output_values.append(
														    comb(self.degree			, __magic_name__				) * ((1 - t) ** (self.degree - i)) * (t**i)				)
										# the basis must sum up to 1 for it to produce a valid Bezier curve.
										assert round(sum(__magic_name__				)			, 5				) == 1
										return output_values






						def      __snake_case      (		self  :List[str]			, __magic_name__  :float				)      ->tuple[float, float]:
										assert 0 <= t <= 1, "Time t must be between 0 and 1."

										lowercase    :      str       = self.basis_function(__magic_name__				)
										lowercase    :      Optional[int]       = 0.0
										lowercase    :      List[str]       = 0.0
										for i in range(len(self.list_of_points				)				):
														# For all points, sum up the product of i-th basis function and i-th point.
														x += basis_function[i] * self.list_of_points[i][0]
														y += basis_function[i] * self.list_of_points[i][1]
										return (x, y)






						def      __snake_case      (		self  :Tuple			, __magic_name__  :float = 0.01				)      ->List[str]:
										from matplotlib import pyplot as plt  # type: ignore

										lowercase    :      list[float]       = []  # x coordinates of points to plot
										lowercase    :      list[float]       = []  # y coordinates of points to plot

										lowercase    :      int       = 0.0
										while t <= 1:
														lowercase    :      List[Any]       = self.bezier_curve_function(__magic_name__				)
														to_plot_x.append(value[0]				)
														to_plot_y.append(value[1]				)
														t += step_size

										lowercase    :      Union[str, Any]       = [i[0] for i in self.list_of_points]
										lowercase    :      Optional[int]       = [i[1] for i in self.list_of_points]

										plt.plot(
										    __magic_name__			, __magic_name__			, color="""blue"""			, label="""Curve of Degree """ + str(self.degree				)			, )
										plt.scatter(__magic_name__			, __magic_name__			, color="""red"""			, label="""Control Points"""				)
										plt.legend()
										plt.show()


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				BezierCurve([(1, 2), (3, 5)]).plot_curve()  # degree 1
				BezierCurve([(0, 0), (5, 5), (5, 0)]).plot_curve()  # degree 2
				BezierCurve([(0, 0), (5, 5), (5, 0), (2.5, -2.5)]).plot_curve()  # degree 3
