Implemented basic stuff

kebab_worker/main.py

@@ -1,9 +1,54 @@
+import multiprocessing
 import os
+import requests
 
 
+def worker(outqueue, id):
+    print(f"Process {id} is preparing...")
+    import numpy as np
+    import networkx as nx
+
+    with open("/dkebab/GBA1000.txt") as f:
+        n = int(f.readline())  # pontok száma
+        m = int(f.readline())  # élek száma
+        A = [[0] * n for _ in range(n)]  # táblázat, ahol az élek helyén 1 van, ammeg 0
+        for _ in range(m):
+            [u, v] = map(int, f.readline().split())
+            A[u][v] = 1
+            A[v][u] = 1
+
+    input_graph = nx.Graph(np.array(A))
+
+    def max_comp_size(G):
+        return max([len(c) for c in nx.connected_components(G)])
+
+    print(f"Process {id} is working...")
+    while True:
+        del_list = []
+        G = input_graph.copy()
+        target = len(G.nodes) / 2
+        while max_comp_size(G) > target:
+            u = np.random.choice(G.nodes)
+            if u not in del_list:
+                del_list.append(u)
+                G.remove_node(u)
+
+        outqueue.put(del_list)
+
 def main():
-    for i in range(os.cpu_count()):
+    target_url = os.environ['TARGET_URL']
-        print(i)
+    multiprocessing.set_start_method('spawn')
+    outqueue = multiprocessing.Queue()
+    processes = []
+
+    for id in range(os.cpu_count()):
+        p = multiprocessing.Process(target=worker, args=(outqueue, id))
+        p.start()
+        processes.append(p)
+
+    while True:
+        result = outqueue.get()
+        requests.post(target_url, json=result)
 
 
 if __name__ == '__main__':