def stat_selector(self, value, level):
values = int(
((value * 2 +
randomNum.RandomNum().random_num(self.INDIVIDUAL_VALUE) +
randomNum.RandomNum().random_num(self.BASE_VALUE) / 4) * level /
100 + 10 + 5) * self.CHARACTER_VALUE)
return values
def hp_selector(self, hp_value, level):
hp_values = int(
(hp_value * 2 +
randomNum.RandomNum().random_num(self.INDIVIDUAL_VALUE) * 2 +
randomNum.RandomNum().random_num(self.BASE_VALUE) / 4) * level /
100 + 10 + level)
return hp_values
def ability_selector(self, ab1, ab2, ab3):
ability = ""
try:
np.isnan(ab2)
arr = [0, 1, 2]
rate = [0.95, 0, 0.05]
except Exception:
arr = [0, 1, 2]
rate = [0.5, 0.45, 0.05]
if arr[randomNum.RandomNum().random_index(arr, rate)] == 0:
ability = ab1
# print("草丛中冒出了一只普通特性1:%s" % ability)
if arr[randomNum.RandomNum().random_index(arr, rate)] == 1:
ability = ab2
# print("草丛中冒出了一只普通特性2:%s" % ability)
if arr[randomNum.RandomNum().random_index(arr, rate)] == 2:
ability = ab3
# print("草丛中冒出了一只隐藏特性:%s" % ability)
return ability
def individual_selector(self):
return randomNum.RandomNum().random_individual_value(
self.INDIVIDUAL_VALUE)
eps = 10**-5
for i in newton.Newton(f, x0, eps):
print(i)
print("\n\nRandom numbers iterator")
m = 2**31 - 1
a = 7**5
c = 0
x0 = 1
maxNum = 10**5
squareIter = [0] * 10
sguareGen = [0] * 10
r = randomNum.RandomNum(m, a, c, x0)
for i in range(maxNum):
x = next(r) / m
y = next(r) / m
xP = random.random()
yP = random.random()
for idx in range(1, len(squareIter) + 1):
if x <= idx * 0.1 and y <= idx * 0.1:
squareIter[idx - 1] += 1
if xP <= idx * 0.1 and yP <= idx * 0.1:
sguareGen[idx - 1] += 1
print(squareIter)
print("\nPython random numbers")