tkurbad-overlay/dev-python/vispy/files/vispy-0.12.0-use-local-demo-data.patch

--- a/examples/plotting/volume_plot.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/plotting/volume_plot.py	2022-07-26 20:45:34.932699691 +0800
@@ -15,7 +15,8 @@
 
 fig = vp.Fig(bgcolor='k', size=(800, 800), show=False)
 
-vol_data = np.load(io.load_data_file('brain/mri.npz'))['data']
+try: vol_data = np.load(io.load_data_file('brain/mri.npz'))['data']
+except Exception: vol_data = np.load('mri.npz')['data']
 vol_data = np.flipud(np.rollaxis(vol_data, 1))
 vol_data = vol_data.astype(np.float32)
 
--- a/examples/scene/clipping_planes.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/clipping_planes.py	2022-07-26 19:36:08.699950700 +0800
@@ -24,7 +24,8 @@
 view = canvas.central_widget.add_view()
 
 # Create the visuals
-vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol = np.load('stent.npz')['arr_0']
 volume = scene.visuals.Volume(vol, parent=view.scene, threshold=0.225)
 
 np.random.seed(1)
--- a/examples/scene/contour.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/contour.py	2022-07-26 14:56:04.667132876 +0800
@@ -24,7 +24,8 @@
 view = canvas.central_widget.add_view()
 
 interpolation = 'cubic'
-img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+try: img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+except Exception: img_data = read_png('mona_lisa_sm.png')
 image = scene.visuals.Image(img_data, interpolation=interpolation,
                             parent=view.scene, method='impostor')
 level = 10
--- a/examples/scene/flipped_axis.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/flipped_axis.py	2022-07-26 19:37:26.926953177 +0800
@@ -27,7 +27,8 @@
 from vispy import app, scene, io
 
 # Read volume
-vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol1 = np.load('stent.npz')['arr_0']
 
 # Prepare canvas
 canvas = scene.SceneCanvas(keys='interactive', size=(800, 600), show=True)
--- a/examples/scene/image_custom_kernel.py	2022-11-08 17:13:28.000000000 +0800
+++ b/examples/scene/image_custom_kernel.py	2022-11-11 18:48:20.187045450 +0800
@@ -32,10 +32,14 @@
 view = canvas.central_widget.add_view()
 
 # Load the image with a slight blur (so we can later show the sharpening filter)
-img_data = gaussian_filter(
-    read_png(load_data_file('mona_lisa/mona_lisa_sm.png')),
-    sigma=1,
-)
+try: img_data = gaussian_filter(
+        read_png(load_data_file('mona_lisa/mona_lisa_sm.png')),
+        sigma=1,
+     )
+except Exception: img_data = gaussian_filter(
+        read_png('mona_lisa_sm.png'),
+        sigma=1,
+     )
 
 # build gaussian kernel
 small_gaussian_window = gaussian(5, 1)
--- a/examples/scene/image.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/image.py	2022-07-26 19:28:07.967807623 +0800
@@ -25,7 +25,8 @@
 view = canvas.central_widget.add_view()
 
 # Create the image
-img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+try: img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
+except Exception: img_data = read_png('mona_lisa_sm.png')
 interpolation = 'nearest'
 
 image = scene.visuals.Image(img_data, interpolation=interpolation,
--- a/examples/scene/mesh_normals.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_normals.py	2022-07-26 19:44:23.872044303 +0800
@@ -17,7 +17,8 @@
 from vispy.visuals.filters import WireframeFilter
 
 
-mesh_file = load_data_file('orig/triceratops.obj.gz')
+try: mesh_file = load_data_file('orig/triceratops.obj.gz')
+except Exception: mesh_file = 'triceratops.obj.gz'
 vertices, faces, _, _ = read_mesh(mesh_file)
 
 mesh = Mesh(vertices, faces, shading='flat')
--- a/examples/scene/mesh_shading.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_shading.py	2022-07-26 19:50:49.250307944 +0800
@@ -21,7 +21,8 @@
 
 
 parser = argparse.ArgumentParser()
-default_mesh = load_data_file('orig/triceratops.obj.gz')
+try: default_mesh = load_data_file('orig/triceratops.obj.gz')
+except Exception: default_mesh = 'triceratops.obj.gz'
 parser.add_argument('--mesh', default=default_mesh)
 parser.add_argument('--shininess', default=100)
 parser.add_argument('--wireframe-width', default=1)
--- a/examples/scene/mesh_texture.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/mesh_texture.py	2022-07-26 19:30:50.795219791 +0800
@@ -27,8 +27,10 @@
                     help="shading mode")
 args, _ = parser.parse_known_args()
 
-mesh_path = load_data_file('spot/spot.obj.gz')
-texture_path = load_data_file('spot/spot.png')
+try: mesh_path = load_data_file('spot/spot.obj.gz')
+except Exception: mesh_path = 'spot.obj.gz'
+try: texture_path = load_data_file('spot/spot.png')
+except Exception: texture_path = 'spot.png'
 vertices, faces, normals, texcoords = read_mesh(mesh_path)
 texture = np.flipud(imread(texture_path))
 
--- a/examples/scene/one_cam_two_scenes.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/one_cam_two_scenes.py	2022-07-26 20:29:47.386543725 +0800
@@ -31,7 +31,8 @@
 grid.add_widget(vb2, 0, 1)
 
 # Create the image
-im1 = io.load_crate().astype('float32') / 255
+try: im1 = io.load_crate().astype('float32') / 255
+except Exception: im1 = np.load('crate.npz')['crate'].astype('float32') / 255
 # Make gray, smooth, and take derivatives: edge enhancement
 im2 = im1[:, :, 1]
 im2 = (im2[1:-1, 1:-1] + im2[0:-2, 1:-1] + im2[2:, 1:-1] + 
--- a/examples/scene/one_scene_four_cams.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/one_scene_four_cams.py	2022-07-26 20:31:14.493566153 +0800
@@ -20,6 +20,8 @@
 
 import sys
 
+import numpy as np
+
 from vispy import app, scene, io
 
 canvas = scene.SceneCanvas(keys='interactive')
@@ -42,7 +44,8 @@
 grid.add_widget(vb4, 1, 1)
 
 # Create some visuals to show
-im1 = io.load_crate().astype('float32') / 255
+try: im1 = io.load_crate().astype('float32') / 255
+except Exception: im1 = np.load('crate.npz')['crate'].astype('float32') / 255
 for par in scenes:
     image = scene.visuals.Image(im1, grid=(20, 20), parent=par)
 
--- a/examples/scene/volume_plane.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/volume_plane.py	2022-07-26 20:30:56.050157494 +0800
@@ -25,7 +25,8 @@
 from vispy.visuals.transforms import STTransform
 
 # Read volume
-vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+try: vol = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol = np.load('stent.npz')['arr_0']
 
 # Prepare canvas
 canvas = scene.SceneCanvas(keys='interactive', show=True)
--- a/examples/scene/volume.py	2022-07-04 22:38:36.000000000 +0800
+++ b/examples/scene/volume.py	2022-07-26 20:22:35.644780291 +0800
@@ -39,8 +39,10 @@
 from vispy.visuals.transforms import STTransform
 
 # Read volume
-vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
-vol2 = np.load(io.load_data_file('brain/mri.npz'))['data']
+try: vol1 = np.load(io.load_data_file('volume/stent.npz'))['arr_0']
+except Exception: vol1 = np.load('stent.npz')['arr_0']
+try: vol2 = np.load(io.load_data_file('brain/mri.npz'))['data']
+except Exception: vol2 = np.load('mri.npz')['data']
 vol2 = np.flipud(np.rollaxis(vol2, 1))
 
 # Prepare canvas