def angleCost(a, b, c, d):
'''prefers straighter lines'''
abDir = np.array(b) - np.array(a)
cdDir = np.array(d) - np.array(c)
difference = cluster_util.findAngle(abDir, cdDir)
if np.isnan(difference): return 0
else: return np.abs(difference)
def oldAngleCost(a, b, c):
'''angle cost of going to c given we came from ab'''
abDir = np.array(b) - np.array(a)
bcDir = np.array(c) - np.array(b)
difference = cluster_util.findAngle(abDir, bcDir)
if np.isnan(difference): return 0
else: return np.abs(difference)
def oldAngleCost(a, b, c):
'''angle cost of going to c given we came from ab'''
abDir = np.array(b) - np.array(a)
bcDir = np.array(c) - np.array(b)
difference = cluster_util.findAngle(abDir, bcDir)
if np.isnan(difference): return 0
else: return np.abs(difference)
def angleCost(a, b, c, d):
'''prefers straighter lines'''
abDir = np.array(b) - np.array(a)
cdDir = np.array(d) - np.array(c)
difference = cluster_util.findAngle(abDir, cdDir)
if np.isnan(difference): return 0
else: return np.abs(difference)
def angleCost(a, b, c, d):
'''prefers straighter lines'''
abDir = b - a
cdDir = d - c
difference = cluster_util.findAngle(abDir, cdDir)
if np.isnan(difference): return 0
else: return np.abs(difference)