blob: 4bd4af4a34ec9533c721623cd5637fb134f9b849 (
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weights_total = sum(
map(lambda x: x["weight"], self.probabilities())
) + (255 * 255 * 255)
choice = random.randint(0, weights_total)
position = 0
for elem in self.probabilities():
position += elem["weight"]
if position >= choice:
self.value = elem["value"]
return
weights_total = sum(
map(lambda x: x["weight"], self.probabilities())
)# + self.range_max - self.range_min
if weights_total < 100:
weights_total = 100;
choice = random.randint(0, weights_total)
import sys
sys.stderr.write("choosing %s: random_int: %s, probabilities: %s\n" % (
self.name,
choice,
self.probabilities()))
position = 0
for elem in self.probabilities():
position += elem["weight"]
if position >= choice:
self.value = elem["value"]
return
weights_total = sum(map(lambda x: x["weight"], self.probabilities()))
choice = random.randint(0, weights_total)
position = 0
for elem in self.probabilities():
position += elem["weight"]
if position >= choice:
self.value = elem["value"]
break
def _choose_heaviest(self):
heaviest_idx = 0
heaviest_weight = 0
idx = 0
if (len(self.options())):
for elem in self.options():
if elem["weight"] > heaviest_weight:
heaviest_weight = elem["weight"]
heaviest_idx = idx
idx += 1
return self.options()[heaviest_idx]["value"]
else:
self.randomize()
def heaviest(self):
self.value = self._choose_heaviest()
"""default value is the probability with the heaviest weight"""
self.default(self._choose_heaviest())
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