Buggy python submission (verdict: Runtime Error):
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row_tmp))+row_tmp
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans == 10 ** 20:
    print(-1)
else:
    print(ans)

Fixed submission:
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(1, 2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row))+row
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans == 10 ** 20:
    print(-1)
else:
    print(ans)

Buggy python submission (verdict: Runtime Error):
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row_tmp))+row_tmp
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans = 10 ** 20:
    print(-1)
else
    print(ans)

Fixed submission:
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(1, 2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row))+row
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans == 10 ** 20:
    print(-1)
else:
    print(ans)

Buggy python submission (verdict: Runtime Error):
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)
for ele in range(1,m):
    combi = combinations(range(m),ele)
    for j in combi:
        current_under = np.array([sum(understnding[j,ind]) for ind in range(m)])
        tmp_ans = np.sum(costs[list(j)])
        if np.all(current_under>=x) and tmp_ans < ans:
            ans = tmp_ans
if ans != 10 ** 20:
    print(ans)
else:
    print(-1)

Fixed submission:
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(1, 2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row))+row
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans == 10 ** 20:
    print(-1)
else:
    print(ans)

Buggy python submission (verdict: Runtime Error):
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(m):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)
for ele in range(1,m):
    combi = combinations(range(m),ele)
    for j in combi:
        current_under = np.array([sum(understnding[j,ind]) for ind in range(m)])
        tmp_ans = np.sum(costs[list(j)])
        if np.all(current_under>=x) and tmp_ans < ans:
            ans = tmp_ans
if ans != 10 ** 20:
    print(ans)
else:
    print(-1)

Fixed submission:
from itertools import combinations
import numpy as np
n,m,x = map(int, input().split())
costs = []
understnding = []
ans = 10 ** 20

for _ in range(n):
    tmp = list(map(int, input().split()))
    costs.append(tmp[0])
    understnding.append(tmp[1:])
    
costs = np.array(costs)
understnding = np.array(understnding)

for i in range(1, 2**n):
    row = str(bin(i)).split("0b")[1]
    row = '0'*(n - len(row))+row
    one_index = [j for j in range(len(row)) if row[j] =="1"]
    cost_sum = np.sum(costs[one_index])
    under_sum = np.sum(understnding[one_index], axis=0)
    if np.all(under_sum >= x) and cost_sum < ans:
        ans = cost_sum
    
if ans == 10 ** 20:
    print(-1)
else:
    print(ans)