Datasets:
celinelee
/
python_fn_calls

Dataset card Data Studio Files
xet
 Community
1
code
stringlengths
3
6.57k
split()
np.array(lrs)
reshape(n, 3)
np.zeros((m + 1,)
np.add.at(score, l - 1, s)
np.subtract.at(score, r, s)
np.cumsum(score, out=score)
print(s.sum()
min()
d()
map(int, sys.stdin.read()
split()
defaultdict(int)
range(n)
range(1, n + 1)
print(dp[n])
a()
map(int, sys.stdin.read()
split()
sorted(enumerate(a)
range(3)
print(*res, sep="\n")
b()
sys.stdin.readline()
rstrip()
map(int, sys.stdin.read()
split()
zip(*[iter(lr)
print(s)
c()
map(int, sys.stdin.readline()
split()
np.array([list(s)
sys.stdin.read()
split()
np.pad(s, 1, constant_values="x")
np.zeros_like(s, dtype=np.float64)
range(1, r + 1)
np.minimum(a[i - 1, :] + 1, a[i, :], out=a[i, :])
range(r, 0, -1)
np.minimum(a[i + 1, :] + 1, a[i, :], out=a[i, :])
range(1, c + 1)
np.minimum(a[:, j - 1] + 1, a[:, j], out=a[:, j])
range(c, 0, -1)
np.minimum(a[:, j + 1] + 1, a[:, j], out=a[:, j])
print(np.count_nonzero(a >= k)
c_2()
map(int, sys.stdin.readline()
split()
np.array([list(s)
sys.stdin.read()
split()
np.pad(s, 1, constant_values="x")
astype(np.int16)
distance_transform_cdt(a, metric="taxicab")
print(np.count_nonzero(a >= k)
d()
map(int, sys.stdin.read()
split()
np.array(xyz)
reshape(r, 3)
np.zeros((n, m)
np.array([*itertools.combinations(range(n)
print(np.sort(h[g].sum(axis=1)
sum(axis=1)
max()
a()
map(int, sys.stdin.readline()
split()
print(sorted(a)
b()
sys.stdin.readline()
rstrip()
str(cnt)
print(t[2:])
c()
map(int, sys.stdin.read()
split()
set()
res.add(x)
print(len(res)
d()
inquire(u, v)
print(f"? {u} {v}".format(u, v)
int(sys.stdin.readline()
rstrip()
int(sys.stdin.readline()
rstrip()
sorted([(inquire(1, v)
range(2, n + 1)
max((inquire(u, v)
range(1, n + 1)
print(f"! {d}")
a()
int(sys.stdin.readline()
rstrip()
b()
sys.stdin.readline()
split()
print(int(a + b)