How do I optimize my Python code for balancing a centrifuge with a given input size?
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So, the problem is, given an input N
as the size of a centrifuge, I need to find out the number of balanced configurations. The full description is here. This is my code:
import numpy as np
N=int(input())
angle = 2*np.pi/N
z = complex(np.cos(angle), np.sin(angle))
import itertools
combs =
lst = range(1,N)
for i in range(2, N-1):
combs.append(i)
els = [list(x) for x in itertools.combinations(lst, i)]
combs.append(els)
count=1
lis =
while count<=len(combs):
for a in range(len(combs[count])):
s=0
for b in range(len(combs[count][a])):
s+=z**combs[count][a][b]
if abs(s)<1e-10:
lis.append(combs[count][a])
count+=2
lengths =
for i in lis:
if len(i) not in lengths:
lengths.append(len(i))
print(len(lengths)+1)
The code works fine, but slows down after input size of above 20, and is practically unusable after the input grows to 50 or above, due to the for
loops. How do I optimize it?
python performance python-3.x programming-challenge
New contributor
add a comment |
up vote
0
down vote
favorite
So, the problem is, given an input N
as the size of a centrifuge, I need to find out the number of balanced configurations. The full description is here. This is my code:
import numpy as np
N=int(input())
angle = 2*np.pi/N
z = complex(np.cos(angle), np.sin(angle))
import itertools
combs =
lst = range(1,N)
for i in range(2, N-1):
combs.append(i)
els = [list(x) for x in itertools.combinations(lst, i)]
combs.append(els)
count=1
lis =
while count<=len(combs):
for a in range(len(combs[count])):
s=0
for b in range(len(combs[count][a])):
s+=z**combs[count][a][b]
if abs(s)<1e-10:
lis.append(combs[count][a])
count+=2
lengths =
for i in lis:
if len(i) not in lengths:
lengths.append(len(i))
print(len(lengths)+1)
The code works fine, but slows down after input size of above 20, and is practically unusable after the input grows to 50 or above, due to the for
loops. How do I optimize it?
python performance python-3.x programming-challenge
New contributor
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
So, the problem is, given an input N
as the size of a centrifuge, I need to find out the number of balanced configurations. The full description is here. This is my code:
import numpy as np
N=int(input())
angle = 2*np.pi/N
z = complex(np.cos(angle), np.sin(angle))
import itertools
combs =
lst = range(1,N)
for i in range(2, N-1):
combs.append(i)
els = [list(x) for x in itertools.combinations(lst, i)]
combs.append(els)
count=1
lis =
while count<=len(combs):
for a in range(len(combs[count])):
s=0
for b in range(len(combs[count][a])):
s+=z**combs[count][a][b]
if abs(s)<1e-10:
lis.append(combs[count][a])
count+=2
lengths =
for i in lis:
if len(i) not in lengths:
lengths.append(len(i))
print(len(lengths)+1)
The code works fine, but slows down after input size of above 20, and is practically unusable after the input grows to 50 or above, due to the for
loops. How do I optimize it?
python performance python-3.x programming-challenge
New contributor
So, the problem is, given an input N
as the size of a centrifuge, I need to find out the number of balanced configurations. The full description is here. This is my code:
import numpy as np
N=int(input())
angle = 2*np.pi/N
z = complex(np.cos(angle), np.sin(angle))
import itertools
combs =
lst = range(1,N)
for i in range(2, N-1):
combs.append(i)
els = [list(x) for x in itertools.combinations(lst, i)]
combs.append(els)
count=1
lis =
while count<=len(combs):
for a in range(len(combs[count])):
s=0
for b in range(len(combs[count][a])):
s+=z**combs[count][a][b]
if abs(s)<1e-10:
lis.append(combs[count][a])
count+=2
lengths =
for i in lis:
if len(i) not in lengths:
lengths.append(len(i))
print(len(lengths)+1)
The code works fine, but slows down after input size of above 20, and is practically unusable after the input grows to 50 or above, due to the for
loops. How do I optimize it?
python performance python-3.x programming-challenge
python performance python-3.x programming-challenge
New contributor
New contributor
New contributor
asked 2 mins ago
Kristada673
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