def get_k_factor(r1_rating, r2_rating, r1_update, r2_update):
k_factor = min(tools.get_k_factor(r1_rating),
tools.get_k_factor(r2_rating))
# Increase k_factor for recently updated bots.
if (time.time() - r1_update < DAY or time.time() - r2_update < DAY):
k_factor = int(k_factor * 2)
elif (time.time() - r1_update < 3 * DAY
or time.time() - r2_update < 3 * DAY):
k_factor = int(k_factor * 1.5)
return k_factor
def get_k_factor(r1_rating, r2_rating, r1_update, r2_update):
k_factor = min(tools.get_k_factor(r1_rating),
tools.get_k_factor(r2_rating))
# Increase k_factor for recently updated bots.
if (time.time() - r1_update < DAY or
time.time() - r2_update < DAY):
k_factor = int(k_factor * 2)
elif (time.time() - r1_update < 3 * DAY or
time.time() - r2_update < 3 * DAY):
k_factor = int(k_factor * 1.5)
return k_factor
def rating_diff_class(robot):
diff = rating_diff(robot)
bounds = [16, 6, 2, -16, -6, -2]
classes = [
'fa-caret-up bold',
'fa-angle-double-up bold',
'fa-angle-up bold',
'fa-caret-down bold',
'fa-angle-double-down bold',
'fa-angle-down bold',
]
k = tools.get_k_factor(robot.last_rating)
for i in range(len(bounds)):
if diff > 0 and bounds[i] > 0 and diff > bounds[i] * k:
return classes[i] + ' green'
elif diff < 0 and bounds[i] < 0 and diff < bounds[i] * k:
return classes[i] + ' red'
return ''
