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Add "Knapsack" exercise (#2757)
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* generate files and create test generator

* init go modules

* move item struct to be in the exercise instead of generated test file

* create working example and fleshing out the Knapsack function

* Update config.json

* Prepare exercise for release

---------

Co-authored-by: André Santos <[email protected]>
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jesse-kroon and andrerfcsantos authored Jul 13, 2024
1 parent 04ed9d6 commit 788fec9
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12 changes: 12 additions & 0 deletions config.json
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"prerequisites": [],
"difficulty": 5
},
{
"slug": "knapsack",
"name": "Knapsack",
"uuid": "eae2fd23-c484-4dc6-b8fe-1fa055bab8ba",
"practices": [],
"prerequisites": [],
"difficulty": 6,
"topics": [
"algorithms",
"dynamic_programming"
]
},
{
"slug": "dominoes",
"name": "Dominoes",
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25 changes: 25 additions & 0 deletions exercises/practice/knapsack/.docs/instructions.md
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# Instructions

Your task is to determine which items to take so that the total value of his selection is maximized, taking into account the knapsack's carrying capacity.

Items will be represented as a list of items.
Each item will have a weight and value.
All values given will be strictly positive.
Bob can take only one of each item.

For example:

```text
Items: [
{ "weight": 5, "value": 10 },
{ "weight": 4, "value": 40 },
{ "weight": 6, "value": 30 },
{ "weight": 4, "value": 50 }
]
Knapsack Maximum Weight: 10
```

For the above, the first item has weight 5 and value 10, the second item has weight 4 and value 40, and so on.
In this example, Bob should take the second and fourth item to maximize his value, which, in this case, is 90.
He cannot get more than 90 as his knapsack has a weight limit of 10.
8 changes: 8 additions & 0 deletions exercises/practice/knapsack/.docs/introduction.md
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# Introduction

Bob is a thief.
After months of careful planning, he finally manages to crack the security systems of a fancy store.

In front of him are many items, each with a value and weight.
Bob would gladly take all of the items, but his knapsack can only hold so much weight.
Bob has to carefully consider which items to take so that the total value of his selection is maximized.
20 changes: 20 additions & 0 deletions exercises/practice/knapsack/.meta/config.json
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{
"authors": ["jesse-kroon"],
"files": {
"solution": [
"knapsack.go"
],
"test": [
"knapsack_test.go"
],
"editor": [
"cases_test.go"
],
"example": [
".meta/example.go"
]
},
"blurb": "Given a knapsack that can only carry a certain weight, determine which items to put in the knapsack in order to maximize their combined value.",
"source": "Wikipedia",
"source_url": "https://en.wikipedia.org/wiki/Knapsack_problem"
}
28 changes: 28 additions & 0 deletions exercises/practice/knapsack/.meta/example.go
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package knapsack

import "math"

type Item struct {
Weight, Value int
}

func Knapsack(maximumWeight int, items []Item) int {
amountOfItems := len(items)
knapsack := make([][]int, amountOfItems+1)

for i := range knapsack {
knapsack[i] = make([]int, maximumWeight+1)
}

for currentItem := 1; currentItem <= amountOfItems; currentItem++ {
for currentItemWeight := 0; currentItemWeight <= maximumWeight; currentItemWeight++ {
if items[currentItem-1].Weight > currentItemWeight {
knapsack[currentItem][currentItemWeight] = knapsack[currentItem-1][currentItemWeight]
} else {
knapsack[currentItem][currentItemWeight] = int(math.Max(float64(knapsack[currentItem-1][currentItemWeight]), float64(items[currentItem-1].Value+knapsack[currentItem-1][currentItemWeight-items[currentItem-1].Weight])))
}
}
}

return knapsack[amountOfItems][maximumWeight]
}
72 changes: 72 additions & 0 deletions exercises/practice/knapsack/.meta/gen.go
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package main

import (
"log"
"text/template"

"../../../../gen"
)

type item struct {
Weight int `json:"weight"`
Value int `json:"value"`
}
type maximumValueCaseInput struct {
MaximumWeight int `json:"maximumWeight"`
Items []item `json:"items"`
}

type maximumValueCase struct {
Description string `json:"description"`
Input maximumValueCaseInput `json:"input"`
Expected int `json:"expected"`
}

func main() {
t, err := template.New("").Parse(tmpl)
if err != nil {
log.Fatal(err)
}
var j = map[string]interface{}{
"maximumValue": &[]maximumValueCase{},
}
if err := gen.Gen("knapsack", j, t); err != nil {
log.Fatal(err)
}
}

var tmpl = `package knapsack
{{.Header}}
type maximumValueCaseInput struct {
MaximumWeight int
Items []Item
}
type maximumValueTest struct {
description string
input maximumValueCaseInput
expected int
}
var maximumValueTests = []maximumValueTest {
{{range .J.maximumValue}}
{
description: {{printf "%q" .Description}},
input: maximumValueCaseInput {
MaximumWeight: {{printf "%d" .Input.MaximumWeight}},
Items: []Item {
{{range .Input.Items}}
{
Weight: {{printf "%d" .Weight}},
Value: {{printf "%d" .Value}},
},
{{end}}
},
},
expected: {{printf "%d" .Expected}},
},
{{end}}
}
`
36 changes: 36 additions & 0 deletions exercises/practice/knapsack/.meta/tests.toml
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# This is an auto-generated file.
#
# Regenerating this file via `configlet sync` will:
# - Recreate every `description` key/value pair
# - Recreate every `reimplements` key/value pair, where they exist in problem-specifications
# - Remove any `include = true` key/value pair (an omitted `include` key implies inclusion)
# - Preserve any other key/value pair
#
# As user-added comments (using the # character) will be removed when this file
# is regenerated, comments can be added via a `comment` key.

[a4d7d2f0-ad8a-460c-86f3-88ba709d41a7]
description = "no items"
include = false

[3993a824-c20e-493d-b3c9-ee8a7753ee59]
description = "no items"
reimplements = "a4d7d2f0-ad8a-460c-86f3-88ba709d41a7"

[1d39e98c-6249-4a8b-912f-87cb12e506b0]
description = "one item, too heavy"

[833ea310-6323-44f2-9d27-a278740ffbd8]
description = "five items (cannot be greedy by weight)"

[277cdc52-f835-4c7d-872b-bff17bab2456]
description = "five items (cannot be greedy by value)"

[81d8e679-442b-4f7a-8a59-7278083916c9]
description = "example knapsack"

[f23a2449-d67c-4c26-bf3e-cde020f27ecc]
description = "8 items"

[7c682ae9-c385-4241-a197-d2fa02c81a11]
description = "15 items"
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