Problem p02580 (python)

Fixed submission:
import numpy as np
H, W, M = map(int, input().split())

C = [0] * W
R = [0] * H
S = set()
for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    C[w] += 1
    R[h] += 1
    S.add((h, w))

col_max = max(C)
col_idx = [i for i in range(W) if C[i] == col_max]
row_max = max(R)
row_idx = [i for i in range(H) if R[i] == row_max]

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if not (r, c) in S:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')
print(1)
exit()

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())

A = np.zeros((H, W), dtype='bool')
for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []

A = np.zeros((H, W), dtype='bool')
for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

print(1)
exit()

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

print(1)
exit()

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

print(1)
exit()

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

print(1)

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])
if len(col_idx) * len(row_idx) >= M:
    print(col_max + row_max)
    exit()

ans = col_max + row_max
for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(ans)
            exit()
print(ans - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])
if len(col_idx) * len(row_idx) >= M:
    print(col_max + row_max)
    exit()

for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(col_max + row_max)
            exit()
print(col_max + row_max - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            print(col_max + row_max)
            exit()
print(col_max + row_max - 1)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1  # 0-indexed
    HW.append((h, w))
    A[h, w] = 1

arr = A.sum(axis=0)
col_max = arr.max()
col_idx = np.where(arr == col_max)[0]

arr = A.sum(axis=1)
row_max = arr.max()
row_idx = np.where(arr == row_max)[0]

# print(A.sum(axis=0).argsort()[-1])

for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            ans = col_max + row_max
            print(ans)
            exit()
ans = col_max + row_max - 1
print(ans)

Buggy submission (verdict: Runtime Error):
import numpy as np
H, W, M = map(int, input().split())
HW = []
A = np.zeros((H, W), dtype='int')

for _ in range(M):
    h, w = map(int, input().split())
    h, w = h - 1, w - 1
    HW.append((h, w))
    A[h, w] = 1
# print(f'{HW=}')
# print(f'{A=}')

arr = A.sum(axis=0)
col_idx = np.where(arr == arr.max())[0]
col_max = arr.max()

arr = A.sum(axis=1)
row_idx = np.where(arr == arr.max())[0]
row_max = arr.max()

# print(A.sum(axis=0).argsort()[-1])

for r in row_idx:
    for c in col_idx:
        if A[r, c] == 0:
            ans = col_max + row_max
            print(ans)
            exit()
ans = col_max + row_max - 1
print(ans)