从随机生成的数字中计算出一个始终为正的值
Calculate a value from randomly generated numbers which is always positive
我试图确保值 tDiscriminant
始终为正。正如您在下面看到的,它是根据三个随机生成的数字计算得出的。
s = random.uniform(1,100)
sRounded = round(s,1)
v = random.uniform(1,50)
vRounded = round(v,1)
a = random.uniform(1,20)
aRounded = round(a,1)
tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)
如何才能使 tDiscriminant
为负数时,必须再次生成值 s
、v
和 a
,直到 tDiscriminant
是阳性吗?
尝试
import random
tDiscriminant = -1
while tDiscriminant <= 0:
s = random.uniform(1,400)
sRounded = round(s,1)
v = random.uniform(1,50)
vRounded = round(v,1)
a = random.uniform(1,20)
aRounded = round(a,1)
tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)
我试图确保值 tDiscriminant
始终为正。正如您在下面看到的,它是根据三个随机生成的数字计算得出的。
s = random.uniform(1,100)
sRounded = round(s,1)
v = random.uniform(1,50)
vRounded = round(v,1)
a = random.uniform(1,20)
aRounded = round(a,1)
tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)
如何才能使 tDiscriminant
为负数时,必须再次生成值 s
、v
和 a
,直到 tDiscriminant
是阳性吗?
尝试
import random
tDiscriminant = -1
while tDiscriminant <= 0:
s = random.uniform(1,400)
sRounded = round(s,1)
v = random.uniform(1,50)
vRounded = round(v,1)
a = random.uniform(1,20)
aRounded = round(a,1)
tDiscriminant = (vRounded*vRounded)-(2*aRounded*sRounded)
tDiscriminantRooted = math.sqrt(tDiscriminant)