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Add knapsack exercise #707
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# Instructions | ||
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Your task is to determine which items to take so that the total value of her selection is maximized, taking into account the knapsack's carrying capacity. | ||
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Items will be represented as a list of items. | ||
Each item will have a weight and value. | ||
All values given will be strictly positive. | ||
Lhakpa can take only one of each item. | ||
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For example: | ||
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```text | ||
Items: [ | ||
{ "weight": 5, "value": 10 }, | ||
{ "weight": 4, "value": 40 }, | ||
{ "weight": 6, "value": 30 }, | ||
{ "weight": 4, "value": 50 } | ||
] | ||
Knapsack Maximum Weight: 10 | ||
``` | ||
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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, Lhakpa should take the second and fourth item to maximize her value, which, in this case, is 90. | ||
She cannot get more than 90 as her knapsack has a weight limit of 10. |
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# Introduction | ||
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Lhakpa is a [Sherpa][sherpa] mountain guide and porter. | ||
After months of careful planning, the expedition Lhakpa works for is about to leave. | ||
She will be paid the value she carried to the base camp. | ||
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In front of her are many items, each with a value and weight. | ||
Lhakpa would gladly take all of the items, but her knapsack can only hold so much weight. | ||
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[sherpa]: https://en.wikipedia.org/wiki/Sherpa_people#Mountaineering |
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{ | ||
"authors": [ | ||
"JohnMertz" | ||
], | ||
"files": { | ||
"solution": [ | ||
"lib/Knapsack.pm" | ||
], | ||
"test": [ | ||
"t/knapsack.t" | ||
], | ||
"example": [ | ||
".meta/solutions/lib/Knapsack.pm" | ||
] | ||
}, | ||
"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" | ||
} |
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exercises/practice/knapsack/.meta/solutions/lib/Knapsack.pm
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package Knapsack; | ||
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use strict; | ||
use warnings; | ||
use experimental qw<signatures postderef postderef_qq>; | ||
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use Exporter qw<import>; | ||
our @EXPORT_OK = qw<maximum_value>; | ||
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sub maximum_value ( $items, $weight, $offset = 0, $best_score = 0, @indexes ) { | ||
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# Loop through all unchecked combinations of @indexes (the list of | ||
# items passed from the last level of recursion), plus each of the | ||
# items which appear later in the array (from the $offset index). | ||
foreach my $index ( $offset .. $#$items ) { | ||
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# Reset local array of indexes from last loop iteration to that | ||
# which was passed at the start of this level of recursion. | ||
my @local_indexes = @indexes; | ||
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# Skip if this item exceeds remaining weight. | ||
next if ( $items->[$index]->{'weight'} > $weight ); | ||
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# Otherwise add item to knapsack | ||
push( @local_indexes, $index ); | ||
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# Calculate sum for new array of indexes | ||
my $score = 0; | ||
$score += $items->[$_]->{'value'} foreach @local_indexes; | ||
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# Overwrite $best_score if it has been beaten | ||
$best_score = $score if ( $score > $best_score ); | ||
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# Optimizations: Skip recursion if there is no capacity left | ||
# or if there would be no additional items to check. | ||
next if $weight == $items->[$index]->{'weight'}; | ||
next if ( $index == $#$items ); | ||
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# Recursively call this function to check the remaining items | ||
# in combination with the current @local_indexes. Offset the | ||
# starting index to be the item after this one. | ||
$best_score = maximum_value( | ||
$items, | ||
$weight - $items->[$index]->{'weight'}, | ||
++$index, | ||
$best_score, | ||
@local_indexes | ||
); | ||
} | ||
return $best_score; | ||
} | ||
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1; |
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../../../t/knapsack.t |
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subs: maximum_value | ||
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properties: | ||
maximumValue: | ||
test: |- | ||
use Data::Dmp; | ||
sprintf(<<'END', dmp($case->{input}{items}), $case->{input}{maximumWeight}, $case->{expected}, dmp($case->{description})); | ||
is( | ||
maximum_value(%s, %s), | ||
%s, | ||
%s, | ||
); | ||
END | ||
stub: |- | ||
sub maximum_value ($items, $weight) { | ||
return undef; | ||
} | ||
example: |- | ||
sub maximum_value ($items, $weight, $offset=0, $best_score=0, @indexes) { | ||
# Loop through all unchecked combinations of @indexes (the list of | ||
# items passed from the last level of recursion), plus each of the | ||
# items which appear later in the array (from the $offset index). | ||
foreach my $index ($offset..$#$items) { | ||
# Reset local array of indexes from last loop iteration to that | ||
# which was passed at the start of this level of recursion. | ||
my @local_indexes = @indexes; | ||
# Skip if this item exceeds remaining weight. | ||
next if ($items->[$index]->{'weight'} > $weight); | ||
# Otherwise add item to knapsack | ||
push (@local_indexes, $index); | ||
# Calculate sum for new array of indexes | ||
my $score = 0; | ||
$score += $items->[$_]->{'value'} foreach @local_indexes; | ||
# Overwrite $best_score if it has been beaten | ||
$best_score = $score if ($score > $best_score); | ||
# Optimizations: Skip recursion if there is no capacity left | ||
# or if there would be no additional items to check. | ||
next if $weight == $items->[$index]->{'weight'}; | ||
next if ($index == $#$items); | ||
# Recursively call this function to check the remaining items | ||
# in combination with the current @local_indexes. Offset the | ||
# starting index to be the item after this one. | ||
$best_score = maximum_value( | ||
$items, | ||
$weight - $items->[$index]->{'weight'}, | ||
++$index, | ||
$best_score, | ||
@local_indexes | ||
); | ||
} | ||
return $best_score; | ||
} |
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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. | ||
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[a4d7d2f0-ad8a-460c-86f3-88ba709d41a7] | ||
description = "no items" | ||
include = false | ||
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[3993a824-c20e-493d-b3c9-ee8a7753ee59] | ||
description = "no items" | ||
reimplements = "a4d7d2f0-ad8a-460c-86f3-88ba709d41a7" | ||
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[1d39e98c-6249-4a8b-912f-87cb12e506b0] | ||
description = "one item, too heavy" | ||
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[833ea310-6323-44f2-9d27-a278740ffbd8] | ||
description = "five items (cannot be greedy by weight)" | ||
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[277cdc52-f835-4c7d-872b-bff17bab2456] | ||
description = "five items (cannot be greedy by value)" | ||
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[81d8e679-442b-4f7a-8a59-7278083916c9] | ||
description = "example knapsack" | ||
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[f23a2449-d67c-4c26-bf3e-cde020f27ecc] | ||
description = "8 items" | ||
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[7c682ae9-c385-4241-a197-d2fa02c81a11] | ||
description = "15 items" |
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package Knapsack; | ||
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use v5.40; | ||
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use Exporter qw<import>; | ||
our @EXPORT_OK = qw<maximum_value>; | ||
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sub maximum_value ( $items, $weight ) { | ||
return undef; | ||
} | ||
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1; |
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#!/usr/bin/env perl | ||
use Test2::V0; | ||
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use FindBin qw<$Bin>; | ||
use lib "$Bin/../lib", "$Bin/../local/lib/perl5"; | ||
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use Knapsack qw<maximum_value>; | ||
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is( # begin: 3993a824-c20e-493d-b3c9-ee8a7753ee59 | ||
maximum_value( [], 100 ), | ||
0, | ||
"no items", | ||
); # end: 3993a824-c20e-493d-b3c9-ee8a7753ee59 | ||
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is( # begin: 1d39e98c-6249-4a8b-912f-87cb12e506b0 | ||
maximum_value( [ { value => 1, weight => 100 } ], 10 ), | ||
0, | ||
"one item, too heavy", | ||
); # end: 1d39e98c-6249-4a8b-912f-87cb12e506b0 | ||
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is( # begin: 833ea310-6323-44f2-9d27-a278740ffbd8 | ||
maximum_value( [ { value => 5, weight => 2 }, { value => 5, weight => 2 }, { value => 5, weight => 2 }, { value => 5, weight => 2 }, { value => 21, weight => 10 } ], 10 ), | ||
21, | ||
"five items (cannot be greedy by weight)", | ||
); # end: 833ea310-6323-44f2-9d27-a278740ffbd8 | ||
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is( # begin: 277cdc52-f835-4c7d-872b-bff17bab2456 | ||
maximum_value( [ { value => 20, weight => 2 }, { value => 20, weight => 2 }, { value => 20, weight => 2 }, { value => 20, weight => 2 }, { value => 50, weight => 10 } ], 10 ), | ||
80, | ||
"five items (cannot be greedy by value)", | ||
); # end: 277cdc52-f835-4c7d-872b-bff17bab2456 | ||
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is( # begin: 81d8e679-442b-4f7a-8a59-7278083916c9 | ||
maximum_value( [ { value => 10, weight => 5 }, { value => 40, weight => 4 }, { value => 30, weight => 6 }, { value => 50, weight => 4 } ], 10 ), | ||
90, | ||
"example knapsack", | ||
); # end: 81d8e679-442b-4f7a-8a59-7278083916c9 | ||
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is( # begin: f23a2449-d67c-4c26-bf3e-cde020f27ecc | ||
maximum_value( [ { value => 350, weight => 25 }, { value => 400, weight => 35 }, { value => 450, weight => 45 }, { value => 20, weight => 5 }, { value => 70, weight => 25 }, { value => 8, weight => 3 }, { value => 5, weight => 2 }, { value => 5, weight => 2 } ], 104 ), | ||
900, | ||
"8 items", | ||
); # end: f23a2449-d67c-4c26-bf3e-cde020f27ecc | ||
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is( # begin: 7c682ae9-c385-4241-a197-d2fa02c81a11 | ||
maximum_value( [ { value => 135, weight => 70 }, { value => 139, weight => 73 }, { value => 149, weight => 77 }, { value => 150, weight => 80 }, { value => 156, weight => 82 }, { value => 163, weight => 87 }, { value => 173, weight => 90 }, { value => 184, weight => 94 }, { value => 192, weight => 98 }, { value => 201, weight => 106 }, { value => 210, weight => 110 }, { value => 214, weight => 113 }, { value => 221, weight => 115 }, { value => 229, weight => 118 }, { value => 240, weight => 120 } ], 750 ), | ||
1458, | ||
"15 items", | ||
); # end: 7c682ae9-c385-4241-a197-d2fa02c81a11 | ||
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done_testing; |
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I don't believe the empty cpanfile is necessary, but other than that looks good to me!