Buggy python submission (verdict: Runtime Error):
import numpy as np
from scipy.sparse.csgraph import dijkstra

def get_path(start, goal, pred):
    return get_path_row(start, goal, pred[start])

def get_path_row(start, goal, pred_row):
    path = []
    i = goal
    while i != start and i >= 0:
        path.append(i)
        i = pred_row[i]
    if i < 0:
        return []
    path.append(i)
    return path[::-1]
N, M = map(int,input().split())
g = [[np.inf]*(2*N) for _ in range(2*N)]
for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g[a][b] = 1
    g[a][b+N] = 1
    g[a+N][b] = 1

ans = np.inf
d = dijkstra(g,return_predecessors=True)

for i in range(N):
    if d[0][i][i+N] != np.inf:
        if ans != np.inf and len(ans)+1 <= d[0][i][i+N]:
            continue
        path = get_path(i,i+N,d[1])[::-1][:-1]
        path = [node%N for node in path]
        if len(path)==len(set(path)):
            if ans==np.inf or len(ans) > len(path):
                ans = path

if ans != INF:
    print(len(ans))
    for i in range(len(ans)):
        print(ans[i]+1)
else:
    print(ans)

Fixed submission:
import numpy as np
from scipy.sparse.csgraph import dijkstra

def get_path(start, goal, pred):
    return get_path_row(start, goal, pred[start])

def get_path_row(start, goal, pred_row):
    path = []
    i = goal
    while i != start and i >= 0:
        path.append(i)
        i = pred_row[i]
    if i < 0:
        return []
    path.append(i)
    return path[::-1]
N, M = map(int,input().split())
g = [[np.inf]*(2*N) for _ in range(2*N)]
for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g[a][b] = 1
    g[a][b+N] = 1
    g[a+N][b] = 1

ans = np.inf
j = -1
d = dijkstra(g,return_predecessors=True)

for i in range(N):
    if d[0][i][i+N] < ans:
        ans = int(d[0][i][i+N])
        j = i

if ans != np.inf:
    path = get_path(j,j+N,d[1])[::-1][:-1]
    path = [node%N for node in path]
    print(ans)
    for node in path:
        print(node+1)
else:
    print(-1)

Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
from scipy.sparse.csgraph import dijkstra
def get_path(start, goal, pred):
    return get_path_row(start, goal, pred[start])

def get_path_row(start, goal, pred_row):
    path = []
    i = goal
    while i != start and i >= 0:
        path.append(i)
        i = pred_row[i]
    if i < 0:
        return []
    path.append(i)
    return path[::-1]
N, M = map(int,input().split())
g = [[np.inf]*(2*N) for _ in range(2*N)]
for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g[a][b] = 1
    g[a][b+N] = 1
    g[a+N][b] = 1

ans = -1
d = dijkstra(g,return_predecessors=True)

for i in range(N):
    if d[0][i][i+N] != np.inf:
        path = get_path(i,i+N,d[1])[::-1][:-1]
        path = [node%N for node in path]
        if len(path)==len(set(path)):
            if ans==-1 or len(ans) > len(path):
                ans = path

if ans != -1:
    print(len(ans))
    for i in range(len(ans)):
        print(ans[i]+1)
else:
    print(ans)

Fixed submission:
import numpy as np
from scipy.sparse.csgraph import dijkstra

def get_path(start, goal, pred):
    return get_path_row(start, goal, pred[start])

def get_path_row(start, goal, pred_row):
    path = []
    i = goal
    while i != start and i >= 0:
        path.append(i)
        i = pred_row[i]
    if i < 0:
        return []
    path.append(i)
    return path[::-1]
N, M = map(int,input().split())
g = [[np.inf]*(2*N) for _ in range(2*N)]
for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g[a][b] = 1
    g[a][b+N] = 1
    g[a+N][b] = 1

ans = np.inf
j = -1
d = dijkstra(g,return_predecessors=True)

for i in range(N):
    if d[0][i][i+N] < ans:
        ans = int(d[0][i][i+N])
        j = i

if ans != np.inf:
    path = get_path(j,j+N,d[1])[::-1][:-1]
    path = [node%N for node in path]
    print(ans)
    for node in path:
        print(node+1)
else:
    print(-1)

Buggy python submission (verdict: Runtime Error):
INF = float('inf')
from collections import defaultdict
from heapq import heappop, heappush

class Graph(object):

    def __init__(self):
        self.graph = defaultdict(list)

    def __len__(self):
        return len(self.graph)

    def add_edge(self, From, To, cost=1):
        self.graph[From].append((To,cost))

    def get_nodes(self):
        return self.graph.keys()

class Dijkstra(object):

    def __init__(self, graph, start):
        self.g = graph.graph
        self.dist = defaultdict(lambda:INF)
        self.dist[start] = 0
        self.prev = defaultdict(lambda: None)
        self.Q = []
        heappush(self.Q,(self.dist[start], start))

        while  self.Q:
            dist_u, u = heappop(self.Q)
            if self.dist[u] < dist_u:
                continue
            for v, cost in self.g[u]:
                alt = dist_u + cost
                if self.dist[v] > alt:
                    self.dist[v] = alt
                    self.prev[v] = u
                    heappush(self.Q,(alt, v))

    def shortest_distance(self, goal):
        return self.dist[goal]

    def shortest_path(self, goal):
        path = []
        node = goal
        while node is not None:
            path.append(node)
            node = self.prev[node]

        return path[::-1]




N, M = map(int,input().split())
g = Graph()

for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g.add_edge(a,b)
    g.add_edge(a,b+N)
    g.add_edge(a+N,b)

ans = -1
for i in range(N):
    d = Dijkstra(g,i)
    if d.dist[i+N] != INF:
        path = d.shortest_path(i+N)
        path = path[:-1]
        path = [node%N for node in path]
        if len(path) == len(set(path)):
            ans = path
            break

if ans != -1:
    print(len(ans))
    for i in range(len(ans)):
        print(ans[i]+1)
else:
    print(ans)

d[i].shortest_path(i+N)



Fixed submission:
import numpy as np
from scipy.sparse.csgraph import dijkstra

def get_path(start, goal, pred):
    return get_path_row(start, goal, pred[start])

def get_path_row(start, goal, pred_row):
    path = []
    i = goal
    while i != start and i >= 0:
        path.append(i)
        i = pred_row[i]
    if i < 0:
        return []
    path.append(i)
    return path[::-1]
N, M = map(int,input().split())
g = [[np.inf]*(2*N) for _ in range(2*N)]
for i in range(M):
    a,b = map(int,input().split())
    a -= 1
    b -= 1
    g[a][b] = 1
    g[a][b+N] = 1
    g[a+N][b] = 1

ans = np.inf
j = -1
d = dijkstra(g,return_predecessors=True)

for i in range(N):
    if d[0][i][i+N] < ans:
        ans = int(d[0][i][i+N])
        j = i

if ans != np.inf:
    path = get_path(j,j+N,d[1])[::-1][:-1]
    path = [node%N for node in path]
    print(ans)
    for node in path:
        print(node+1)
else:
    print(-1)