Knapsack maximize gold done!

2 files changed, 43 insertions, 0 deletions

diff --git a/AlgoDesignAndTechniqueEdxPython/sources/knapsack.py b/AlgoDesignAndTechniqueEdxPython/sources/knapsack.py
new file mode 100644
index 0000000..24e5e92
--- /dev/null
+++ b/AlgoDesignAndTechniqueEdxPython/sources/knapsack.py
@@ -0,0 +1,22 @@
+# Uses python3
+import sys
+
+
+def optimalWeight(W, w2):
+    j = len(w2)
+    value = [[0 for _ in range(j + 1)] for _ in range(W + 1)]
+    
+    for i in range(1, j + 1):
+        for w in range(1, W + 1):
+            value[w][i] = value[w][i - 1]
+            if w2[i - 1] <= w:
+                val = value[w - w2[i - 1]][i - 1] + w2[i - 1]
+                if value[w][i] < val:
+                    value[w][i] = val
+    return value[W][j]
+
+
+if __name__ == '__main__':
+    input = sys.stdin.read()
+    W, n, *w = list(map(int, input.split()))
+    print(optimalWeight(W, w))
diff --git a/AlgoDesignAndTechniqueEdxPython/tests/knapsackTest.py b/AlgoDesignAndTechniqueEdxPython/tests/knapsackTest.py
new file mode 100644
index 0000000..d01a44a
--- /dev/null
+++ b/AlgoDesignAndTechniqueEdxPython/tests/knapsackTest.py
@@ -0,0 +1,21 @@
+'''
+Created on Dec 26, 2018
+
+@author: haidong
+'''
+import unittest
+
+from sources.knapsack import optimalWeight
+
+
+class Test(unittest.TestCase):
+
+    def testName(self):
+        w = [1, 4, 8]
+        W = 10
+        self.assertEqual(9, optimalWeight(W, w))
+
+
+if __name__ == "__main__":
+    # import sys;sys.argv = ['', 'Test.testName']
+    unittest.main()