for line in f:
mymatrix.append([int(x) for x in line.split()])
graph.add_vertex(count)
new_graph[count] = {}
count += 1
for i in range(len(mymatrix)):
weights.append(mymatrix[i][len(mymatrix[i]) - 1])
for j in range(len(mymatrix)):
col = 0
row = 0
counter = 0
for i in range(len(mymatrix[0]) - 1):
if counter == 0 and mymatrix[j][i] == 1:
col = i
counter = 1
continue
if mymatrix[j][i] == 1 and counter == 1:
row = i
counter = 2
if counter == 2:
graph.add_edge(col, row)
new_graph[col][row] = weights[j]
print('Number of edges: ', graph.num_edges())
print('Number of vertices: ', graph.num_vertices())
print('Minimum path from 1 to 4 is: ', dijkstra(new_graph, 1))
for j in range(len(m)):
x = None
y = None
cnt = 0
for i in range(len(m[0]) - 1):
if cnt == 0 and m[j][i] == 1:
x = i
cnt = 1
continue
if m[j][i] == 1 and cnt == 1:
y = i
cnt = 2
if cnt == 2:
g.add_edge(x, y, weight[j])
break
g.print_graph()
print('Vertices:', g.vertices())
print('Edges: ', g.edges())
print('Number of edges:', g.num_edges())
print('Number of vertices:', g.num_vertices())
print('Get vertex: ', g.get_vertex(2))
print('Get edge: ', g.get_edge(3, 2))
print('Get adjacents: ', g.adj_vertices(1))
print(prims_algorithm(g.get_data()))
for j in range(len(t)):
x = None
y = None
cnt = 0
for i in range(len(t[0]) - 1):
if cnt == 0 and t[j][i] == 1:
x = i
cnt = 1
continue
if t[j][i] == 1 and cnt == 1:
y = i
cnt = 2
if cnt == 2:
g.add_edge(x, y, weight[j])
break
g.print_graph()
print('Vertices:', g.vertices())
print('Edges: ', g.edges())
print('num_vertices:', g.num_vertices())
print('num_edges:', g.num_edges())
print('get_vertex: ', g.get_vertex(3))
print('get_edge: ', g.get_edge(2, 3))
print('adj_vertices: ', g.adj_vertices(1))
print('Minimum Spanning Tree:')
print(kruskalsalg(g.get_data(), g.num_vertices()))
#Yermagambet Gylnaz