This notebook was prepared by Donne Martin. Source and license info is on GitHub.

Challenge Notebook¶

Problem: Given a knapsack with a total weight capacity and a list of items with weight w(i) and value v(i), determine the max total value you can carry.¶

Constraints¶

Can we replace the items once they are placed in the knapsack?
- Yes, this is the unbounded knapsack problem
Can we split an item?
- No
Can we get an input item with weight of 0 or value of 0?
- No
Do we need to return the items that make up the max total value?
- No, just the total value
Can we assume the inputs are valid?
- No
Are the inputs in sorted order by val/weight?
- Yes
Can we assume this fits memory?
- Yes

Test Cases¶

items or total weight is None -> Exception
items or total weight is 0 -> 0
General case

total_weight = 8
items
  v | w
  0 | 0
a 1 | 1
b 3 | 2
c 7 | 4

max value = 14

Algorithm¶

Refer to the Solution Notebook. If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start.

Code¶

In [ ]:

class Item(object):

    def __init__(self, label, value, weight):
        self.label = label
        self.value = value
        self.weight = weight

    def __repr__(self):
        return self.label + ' v:' + str(self.value) + ' w:' + str(self.weight)

In [ ]:

class Knapsack(object):

    def fill_knapsack(self, input_items, total_weight):
        # TODO: Implement me
        pass

Unit Test¶

The following unit test is expected to fail until you solve the challenge.

In [ ]:

# %load test_knapsack_unbounded.py
import unittest


class TestKnapsack(unittest.TestCase):

    def test_knapsack(self):
        knapsack = Knapsack()
        self.assertRaises(TypeError, knapsack.fill_knapsack, None, None)
        self.assertEqual(knapsack.fill_knapsack(0, 0), 0)
        items = []
        items.append(Item(label='a', value=1, weight=1))
        items.append(Item(label='b', value=3, weight=2))
        items.append(Item(label='c', value=7, weight=4))
        total_weight = 8
        expected_value = 14
        results = knapsack.fill_knapsack(items, total_weight)
        total_weight = 7
        expected_value = 11
        results = knapsack.fill_knapsack(items, total_weight)
        self.assertEqual(results, expected_value)
        print('Success: test_knapsack')

def main():
    test = TestKnapsack()
    test.test_knapsack()


if __name__ == '__main__':
    main()

Solution Notebook¶

Review the Solution Notebook for a discussion on algorithms and code solutions.