Implemented kebab algo

.drone.yml

@@ -1,24 +1,11 @@
 kind: pipeline
 type: docker
-name: run_algo
+name: default
 
 steps:
-  - name: algo
+  - name: run_tournament
-    image: "python:3.8"
-    commands:
-      - pip3 install -r requirements.txt
-      - python3 destroy_p3.py -g GBA1000.txt
-
----
-
-kind: pipeline
-type: docker
-name: check_result
-
-steps:
-  - name: result
     image: "python:3.8"
     commands:
       - pip3 install -r requirements.txt
       - python3 destroy_p3.py -g GBA1000.txt > gba1000d.txt
-      - python3 analyse_p3.py -g GBA1000.txt -d gba1000d.txt
+      - python3 analyse_p3.py -g GBA1000.txt -d gba1000d.txt

destroy_p3.py

@@ -1,6 +1,7 @@
 import numpy as np
 import networkx as nx
 import argparse
+import time
 
 parser = argparse.ArgumentParser(description='')
 parser.add_argument('-g', '--graph', dest='graph', action='store', default=None)
@@ -63,5 +64,16 @@ def remove_highest_kebab() -> list:
     return del_list
 
 
-for kebab in remove_highest_kebab():
+print(len(remove_highest_kebab()))
-    print(kebab)
+
+# target_runtime = 600
+# start_time = time.time()
+# results = []
+# while (time.time() - start_time) < target_runtime:
+#     for _ in range(50):
+#         results.append(run_random_once())
+#
+# print("Total runs: ", len(results))
+# print("Min: ", min(results))
+# print("Max: ", max(results))
+# print("Runtime: ", time.time() - start_time)