Buggy python submission (verdict: Runtime Error):
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if length.is_integer()):
            count = count + 1
print(count)


Fixed submission:
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if length.is_integer():
            count = count + 1
print(count)

Buggy python submission (verdict: Runtime Error):
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if isinstance(length, int):
            count++
print(count)


Fixed submission:
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if length.is_integer():
            count = count + 1
print(count)

Buggy python submission (verdict: Runtime Error):
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if float(length) / float(length) == 0.0:
            count++

print(count)


Fixed submission:
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if length.is_integer():
            count = count + 1
print(count)

Buggy python submission (verdict: Runtime Error):
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if float(length) / float(length) == 0.0:
            count++

print(count)


Fixed submission:
import numpy as np

S      = input()
S      = S.split()
N      = int(S[0])
D      = int(S[1])
matrix = np.zeros([N, D])
count  = 0


for i in range(0, N, 1):
    X_vector = input()
    X_vector = X_vector.split()
    for j in range(0, D, 1):
        matrix[i][j] = int(X_vector[j])

for i in range(0, N, 1):
    a_vector = matrix[i]
    for j in range(i+1, N, 1):
        b_vector = matrix[j]
        length = np.linalg.norm(b_vector-a_vector)
        if length.is_integer():
            count = count + 1
print(count)