* minor optimizations

* log CRC_Image performance during unit tests

git-svn-id: https://xpra.org/svn/Xpra/trunk@13433 3bb7dfac-3a0b-4e04-842a-767bc560f471

src/tests/unit/server/motion_test.py

@@ -108,7 +108,10 @@ def test_detect_motion(self):
 		for N in (1, 20, 100):
 			na2 = np.roll(na1, -N*W*BPP//8)
 			buf2 = na2.tobytes()
+			start = time.time()
 			ov2 = motion.CRC_Image(buf2, W, H, W*BPP, BPP)
+			end = time.time()
+			print("CRC_Image %ix%i (%.1fMB) in %.1fms" % (W, H, len(buf2)//1024//1024, 1000.0*(end-start)))
 			assert len(ov2)==H
 			distances = motion.calculate_distances(ov1, ov2, min_score=1)
 			linecount = distances.get(N, 0)

src/xpra/server/window/motion.pyx

@@ -63,7 +63,7 @@ def CRC_Image(pixels, unsigned int width, unsigned int height, unsigned int rows
 DEF MAXINT64 = 2**63
 DEF MAXUINT64 = 2**64
 DEF MASK64 = 2**64-1
-cdef castint64(v):
+cdef inline castint64(v):
     if v>=MAXINT64:
         return v-MAXUINT64
     #assert v>=0, "invalid int to cast: %s" % v
@@ -97,8 +97,8 @@ def calculate_distances(array1, array2, int min_score=0, int max_distance=1000):
             maxy = min(l, y1+max_distance)
             for y2 in range(miny, maxy):
                 if a1[y1]==a2[y2]:
-                    d = y1-y2
-                    distances[l+d] += 1
+                    #distance = y1-y2
+                    distances[l+y1-y2] += 1
         r = {}
         for i in range(2*l):
             d = distances[i]