Buggy python submission (verdict: Runtime Error):
def read_data():
    nV, nE = map(int, input().split())
    cf = [dict() for v in range(nV)]
    for e in range(nE):
        u, v, c = map(int, input().split())
        if u == t or v == s:
            continue
        C[u][v] = c
        C[v][u] = 0
    return C, nV, 0, nV - 1

def dinic(cf, nV, s, t):
    dist = get_distance(cf, s, t)
    while dist[t] > 0:
        df = dfs(dist, cf, s, t, float('inf'))
        while df:
            df = dfs(dist, cf, s, t, float('inf'))
        dist = get_distance(cf, s, t)
    return sum(cf[t].values())

def get_distance(cf, s, t):
    dist = [-1] * len(cf)
    dist[s] = 0
    frontiers = [s]
    while frontiers:
        new_frontiers = []
        for u in frontiers:
            for v, capacity in cf[u].items():
                if dist[v] == -1 and capacity > 0:
                    dist[v] = dist[u] + 1
                    new_frontiers.append(v)
        frontiers = new_frontiers
    return dist

def dfs(dist, cf, u, t, df):
    if u == t:
        return df
    for v, capacity in cf[u].items():
        if dist[v] > dist[u] and capacity > 0:
            new_df = dfs(dist, cf, v, t, min(df, capacity))
            if new_df > 0:
                cf[u][v] -= new_df
                cf[v][u] += new_df
                return new_df
    return 0

if __name__ == '__main__':
    C, nV, s, t = read_data()
    print(dinic(C, nV, s, t))

Fixed submission:
def read_data():
    nV, nE = map(int, input().split())
    C = [dict() for v in range(nV)]
    for e in range(nE):
        u, v, c = map(int, input().split())
        C[u][v] = c
    return C, nV, 0, nV - 1

def dinic_ap(C, nV, s, t):
    '''allow antiparallel C[u][v] > 0 and C[v][u] > 0
    '''
    Cpp, nVpp = resolve_antiparallel(C, nV)
    return dinic(Cpp, nVpp, s, t)

def resolve_antiparallel(C, nV):
    Cpp = [dict() for i in range(nV)]
    new_v = nV
    for u in range(nV):
        for v, capacity in C[u].items():
            if capacity:
                if (u not in C[v]) or (u not in Cpp[v]):
                    Cpp[u][v] = capacity
                else:
                    Cpp.append(dict())
                    Cpp[u][new_v] = capacity
                    Cpp[new_v][v] = capacity
                    new_v += 1
    return Cpp, new_v

def dinic(C, nV, s, t):
    cf = [dict() for i in range(nV)]
    for u in range(nV):
        if u == t:
            continue
        for v, capacity in C[u].items():
            if capacity:
                cf[u][v] = capacity
                cf[v][u] = 0
    dist = get_distance(cf, s, t)
    while dist[t] > 0:
        df = dfs(dist, cf, s, t, float('inf'))
        while df:
            df = dfs(dist, cf, s, t, float('inf'))
        dist = get_distance(cf, s, t)
    return sum(cf[t].values())

def get_distance(cf, s, t):
    dist = [-1] * len(cf)
    dist[s] = 0
    frontiers = [s]
    while frontiers:
        new_frontiers = []
        for u in frontiers:
            for v, capacity in cf[u].items():
                if dist[v] == -1 and capacity > 0:
                    dist[v] = dist[u] + 1
                    new_frontiers.append(v)
        frontiers = new_frontiers
    return dist

def dfs(dist, cf, u, t, df):
    if u == t:
        return df
    for v, capacity in cf[u].items():
        if dist[v] > dist[u] and capacity > 0:
            new_df = dfs(dist, cf, v, t, min(df, capacity))
            if new_df > 0:
                cf[u][v] -= new_df
                cf[v][u] += new_df
                return new_df
    return 0

if __name__ == '__main__':
    C, nV, s, t = read_data()
    print(dinic_ap(C, nV, s, t))

Buggy python submission (verdict: Runtime Error):
def read_data():
    nV, nE = map(int, input().split())
    C = [dict() for v in range(nV)]
    for e in range(nE):
        u, v, c = map(int, input().split())
        if u == t or v == s:
            continue
        C[u][v] = c
        C[v][u] = 0
    return C, nV, 0, nV - 1

def dinic(cf, nV, s, t):
    dist = get_distance(cf, s, t)
    while dist[t] > 0:
        df = dfs(dist, cf, s, t, float('inf'))
        while df:
            df = dfs(dist, cf, s, t, float('inf'))
        dist = get_distance(cf, s, t)
    return sum(cf[t].values())

def get_distance(cf, s, t):
    dist = [-1] * len(cf)
    dist[s] = 0
    frontiers = [s]
    while frontiers:
        new_frontiers = []
        for u in frontiers:
            for v, capacity in cf[u].items():
                if dist[v] == -1 and capacity > 0:
                    dist[v] = dist[u] + 1
                    new_frontiers.append(v)
        frontiers = new_frontiers
    return dist

def dfs(dist, cf, u, t, df):
    if u == t:
        return df
    for v, capacity in cf[u].items():
        if dist[v] > dist[u] and capacity > 0:
            new_df = dfs(dist, cf, v, t, min(df, capacity))
            if new_df > 0:
                cf[u][v] -= new_df
                cf[v][u] += new_df
                return new_df
    return 0

if __name__ == '__main__':
    C, nV, s, t = read_data()
    print(dinic(C, nV, s, t))

Fixed submission:
def read_data():
    nV, nE = map(int, input().split())
    C = [dict() for v in range(nV)]
    for e in range(nE):
        u, v, c = map(int, input().split())
        C[u][v] = c
    return C, nV, 0, nV - 1

def dinic_ap(C, nV, s, t):
    '''allow antiparallel C[u][v] > 0 and C[v][u] > 0
    '''
    Cpp, nVpp = resolve_antiparallel(C, nV)
    return dinic(Cpp, nVpp, s, t)

def resolve_antiparallel(C, nV):
    Cpp = [dict() for i in range(nV)]
    new_v = nV
    for u in range(nV):
        for v, capacity in C[u].items():
            if capacity:
                if (u not in C[v]) or (u not in Cpp[v]):
                    Cpp[u][v] = capacity
                else:
                    Cpp.append(dict())
                    Cpp[u][new_v] = capacity
                    Cpp[new_v][v] = capacity
                    new_v += 1
    return Cpp, new_v

def dinic(C, nV, s, t):
    cf = [dict() for i in range(nV)]
    for u in range(nV):
        if u == t:
            continue
        for v, capacity in C[u].items():
            if capacity:
                cf[u][v] = capacity
                cf[v][u] = 0
    dist = get_distance(cf, s, t)
    while dist[t] > 0:
        df = dfs(dist, cf, s, t, float('inf'))
        while df:
            df = dfs(dist, cf, s, t, float('inf'))
        dist = get_distance(cf, s, t)
    return sum(cf[t].values())

def get_distance(cf, s, t):
    dist = [-1] * len(cf)
    dist[s] = 0
    frontiers = [s]
    while frontiers:
        new_frontiers = []
        for u in frontiers:
            for v, capacity in cf[u].items():
                if dist[v] == -1 and capacity > 0:
                    dist[v] = dist[u] + 1
                    new_frontiers.append(v)
        frontiers = new_frontiers
    return dist

def dfs(dist, cf, u, t, df):
    if u == t:
        return df
    for v, capacity in cf[u].items():
        if dist[v] > dist[u] and capacity > 0:
            new_df = dfs(dist, cf, v, t, min(df, capacity))
            if new_df > 0:
                cf[u][v] -= new_df
                cf[v][u] += new_df
                return new_df
    return 0

if __name__ == '__main__':
    C, nV, s, t = read_data()
    print(dinic_ap(C, nV, s, t))