Apr 11, 2025
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
    ax3.imshow(rgbau)


 def test_rotated_image_corners_no_black():
    rng = np.random.default_rng(42)
    img = rng.random((100, 20, 3))

    fig, ax = plt.subplots()

    tr_rotate = Affine2D().rotate_deg_around(10, 50, 45)
    tr_translate = Affine2D().translate(250, 250)

    ax.imshow(img, transform=tr_rotate + ax.transData, clip_on=False)
    ax.imshow(img, transform=tr_translate + ax.transData, clip_on=False)

    ax.set_xlim(-250, 500)
    ax.set_ylim(-250, 500)

    fig.canvas.draw()

    # Get the RGB image buffer from the Agg backend
    rendered = np.asarray(fig.canvas.buffer_rgba())[:, :, :3]  # Drop alpha

    plt.close(fig)

    corner_size = 50
    inset = 5

    corners = {
        "top-left":     rendered[inset:inset+corner_size, inset:inset+corner_size],
        "top-right":    rendered[inset:inset+corner_size, -inset-corner_size:-inset],
        "bottom-left":  rendered[-inset-corner_size:-inset, inset:inset+corner_size],
        "bottom-right": rendered[-inset-corner_size:-inset, -inset-corner_size:-inset]
    }

    threshold = 5
    for name, corner in corners.items():
        is_blackish = np.all(corner < threshold, axis=-1)
        percent_black = np.sum(is_blackish) / is_blackish.size
        assert percent_black < 0.01, (
            f"Too many black pixels in {name} corner: {percent_black:.2%}"
        )


 def test_cursor_data():
    from matplotlib.backend_bases import MouseEvent
Original file line number	Diff line number	Diff line change
Expand Up		@@ -281,6 +281,47 @@ def test_imshow_alpha(fig_test, fig_ref):
		ax3.imshow(rgbau)


		def test_rotated_image_corners_no_black():
		rng = np.random.default_rng(42)
		img = rng.random((100, 20, 3))

		fig, ax = plt.subplots()

		tr_rotate = Affine2D().rotate_deg_around(10, 50, 45)
		tr_translate = Affine2D().translate(250, 250)

		ax.imshow(img, transform=tr_rotate + ax.transData, clip_on=False)
		ax.imshow(img, transform=tr_translate + ax.transData, clip_on=False)

		ax.set_xlim(-250, 500)
		ax.set_ylim(-250, 500)

		fig.canvas.draw()

		# Get the RGB image buffer from the Agg backend
		rendered = np.asarray(fig.canvas.buffer_rgba())[:, :, :3] # Drop alpha

		plt.close(fig)

		corner_size = 50
		inset = 5

		corners = {
		"top-left": rendered[inset:inset+corner_size, inset:inset+corner_size],
		"top-right": rendered[inset:inset+corner_size, -inset-corner_size:-inset],
		"bottom-left": rendered[-inset-corner_size:-inset, inset:inset+corner_size],
		"bottom-right": rendered[-inset-corner_size:-inset, -inset-corner_size:-inset]
		}

		threshold = 5
		for name, corner in corners.items():
		is_blackish = np.all(corner < threshold, axis=-1)
		percent_black = np.sum(is_blackish) / is_blackish.size
		assert percent_black < 0.01, (
		f"Too many black pixels in {name} corner: {percent_black:.2%}"
		)


		def test_cursor_data():
		from matplotlib.backend_bases import MouseEvent

Expand Down