tests: Speed up tests by only using parts of the image

We just need large enough samples to tell them apart correctly. For this
a 128x128 area from the center of each image is sufficient.

This speeds up the test run considerably. Other ways of achieving this
could be to also lower the number of enroll steps for the image device.

1 files changed, 10 insertions, 2 deletions

diff --git a/tests/fprintd.py b/tests/fprintd.py
index 8719e53..c54e6a7 100644
--- a/tests/fprintd.py
+++ b/tests/fprintd.py
@@ -121,6 +121,8 @@ class Connection:
         self.con.close()
         del self.con
 
+# Speed up tests by only loading a 128x128px area from the center
+MAX_IMG_SIZE = 128
 def load_image(img):
     png = cairo.ImageSurface.create_from_png(img)
 
@@ -129,7 +131,13 @@ def load_image(img):
     h = png.get_height()
     w = (w + 3) // 4 * 4
     h = (h + 3) // 4 * 4
-    img = cairo.ImageSurface(cairo.Format.A8, w, h)
+
+    w_out = min(MAX_IMG_SIZE, w)
+    h_out = min(MAX_IMG_SIZE, h)
+    x = (w - w_out) // 2
+    y = (h - h_out) // 2
+
+    img = cairo.ImageSurface(cairo.Format.A8, w_out, h_out)
     cr = cairo.Context(img)
 
     cr.set_source_rgba(1, 1, 1, 1)
@@ -138,7 +146,7 @@ def load_image(img):
     cr.set_source_rgba(0, 0, 0, 0)
     cr.set_operator(cairo.OPERATOR_SOURCE)
 
-    cr.set_source_surface(png)
+    cr.set_source_surface(png, -x, -y)
     cr.paint()
 
     return img