Priority queue parallel job processing done!

Not too bad since I worked it out in Java. Good practice of heapq module in Python! A lot of fun :)

1 files changed, 28 insertions, 0 deletions

diff --git a/tests/job_queueTest.py b/tests/job_queueTest.py
new file mode 100644
index 0000000..ac95c35
--- /dev/null
+++ b/tests/job_queueTest.py
@@ -0,0 +1,28 @@
+import unittest
+
+from collections import namedtuple
+
+AssignedJob = namedtuple("AssignedJob", ["worker", "started_at"])
+
+from sources.job_queue import assign_jobs, assign_jobs_improved
+
+
+class MyTestCase(unittest.TestCase):
+    def test(self):
+        num_workers = 2
+        jobs = [1, 2, 3, 4, 5]
+        result = [AssignedJob(0, 0), AssignedJob(1, 0), AssignedJob(0, 1), AssignedJob(1, 2), AssignedJob(0, 4)]
+        self.assertListEqual(result, assign_jobs_improved(num_workers, jobs))
+
+    def test1(self):
+        num_workers = 4
+        jobs = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+        result = [AssignedJob(0, 0), AssignedJob(1, 0), AssignedJob(2, 0), AssignedJob(3, 0), AssignedJob(0, 1),
+                  AssignedJob(1, 1), AssignedJob(2, 1), AssignedJob(3, 1), AssignedJob(0, 2), AssignedJob(1, 2),
+                  AssignedJob(2, 2), AssignedJob(3, 2), AssignedJob(0, 3), AssignedJob(1, 3), AssignedJob(2, 3),
+                  AssignedJob(3, 3), AssignedJob(0, 4), AssignedJob(1, 4), AssignedJob(2, 4), AssignedJob(3, 4)]
+        self.assertListEqual(result, assign_jobs_improved(num_workers, jobs))
+
+
+if __name__ == '__main__':
+    unittest.main()