Write initial version of the library.
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a8363ae168
9
.gitignore
vendored
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9
.gitignore
vendored
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/docs/
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/lib/
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/bin/
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/.shards/
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*.dwarf
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# Libraries don't need dependency lock
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# Dependencies will be locked in applications that use them
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/shard.lock
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21
LICENSE
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21
LICENSE
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The MIT License (MIT)
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Copyright (c) 2020 your-name-here
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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21
README.md
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README.md
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# advent
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Collection of common code that may help in solving advent of code
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puzzles.
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## Installation
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1. Add the dependency to your `shard.yml`:
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```yaml
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dependencies:
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advent:
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git: https://dev.danilafe.com/Advent-of-Code/advent
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```
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2. Run `shards install`
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## Usage
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```crystal
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require "advent"
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```
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9
shard.yml
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shard.yml
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name: advent
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version: 0.1.0
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authors:
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- Danila Fedorin <danila.fedorin@gmail.com>
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crystal: 0.35.1
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license: MIT
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1
spec/advent_spec.cr
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1
spec/advent_spec.cr
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require "./spec_helper"
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26
spec/graph_spec.cr
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26
spec/graph_spec.cr
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require "./spec_helper"
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describe Graph do
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describe "#find_path" do
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it "reports no paths in a graph with no edges" do
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gr = Graph(String).new
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elems = ["a", "b", "c", "d"]
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elems.each &->gr.add_node(String)
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elems.each do |elem|
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elems.each do |other|
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next if elem == other
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gr.find_path(elem, other).should be_nil
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end
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end
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end
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it "computes the shortest path" do
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gr = Graph(String).new
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[{"a", "b", 1}, {"a", "c", 1}, {"c", "b", 1}, {"b", "d", 1}].each do |t|
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from, to, cost = t
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gr.add_edge(from, to, cost)
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end
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gr.find_path("a", "d").should eq({["a", "b", "d"], 2})
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end
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end
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end
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44
spec/heap_spec.cr
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44
spec/heap_spec.cr
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require "./spec_helper"
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describe Array do
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describe "#heapify" do
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it "preserves the elements in the array" do
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a = Array(Int32).new(20) { rand(10) }
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a.sort.should eq(a.clone.heapify!.sort)
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end
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it "creates an array with proper ordering" do
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a = Array(Int32).new(20) { rand(10) }
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a.heapify!
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a.is_heap?.should be_true
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end
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it "maintains heap property while popping" do
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a = Array(Int32).new(20) { rand(10) }
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a.heapify!
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20.times do |i|
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a.heap_pop
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a.is_heap?.should be_true
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end
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end
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it "maintains heap property while pushing" do
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a = [] of Int32
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20.times do
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a.heap_push(rand 10)
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a.is_heap?.should be_true
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end
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end
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it "pops numbers in descending order" do
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a = Array(Int32).new(20) { rand(10) }
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a.heapify!
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last = Int32::MAX
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20.times do
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popped = a.heap_pop
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popped.should be <= last
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last = popped
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end
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end
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end
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end
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18
spec/knapsack_spec.cr
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18
spec/knapsack_spec.cr
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describe Array do
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describe "#knapsack" do
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it "works with costs of one" do
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ans = [1,2,3,4,5,6].shuffle.knapsack(3) do |i|
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{1, i}
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end
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ans[1].sort!
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ans.should eq({15, [4,5,6]})
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end
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it "works in the non-greedy case" do
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ans = [{2, 2}, {2, 2}, {3, 3}].shuffle.knapsack(4) do |i|
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i
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end
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ans.should eq({4, [{2,2},{2,2}]})
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end
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end
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end
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2
spec/spec_helper.cr
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2
spec/spec_helper.cr
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require "spec"
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require "../src/advent"
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1
src/advent.cr
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1
src/advent.cr
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require "./advent/*"
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52
src/advent/graph.cr
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52
src/advent/graph.cr
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class Graph(A)
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def initialize
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@edges = {} of A => Set({A, Int32})
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end
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def add_node(n)
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@edges[n] = Set({A, Int32}).new
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end
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def add_edge(f, t, c = 1)
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@edges[f] ||= Set({A, Int32}).new
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@edges[f] << {t, c}
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end
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def add_biedge(f, t, c = 1)
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add_edge(f, t, c)
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add_edge(t, f, c)
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end
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def find_path(f, t)
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visited = Set(A).new
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candidates = Set { f }
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distances = {f => 0}
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prev = {} of A => A
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while !candidates.empty?
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candidate = candidates.min_by { |c| distances[c] }
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break if candidate == t
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visited << candidate
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candidates.delete candidate
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dist = distances[candidate]
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@edges.fetch(candidate, Set({A, Int32}).new).each do |e|
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node, cost = e
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new_dist = dist + cost
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candidates << node unless visited.includes? node
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next if (old_dist = distances[node]?) && old_dist < new_dist
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distances[node] = new_dist
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prev[node] = candidate
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end
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end
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backtrack = t
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path = [t] of A
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while backtrack != f
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return nil unless prev_bt = prev[backtrack]?
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path << prev_bt
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backtrack = prev_bt
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end
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{path.reverse!, distances[t]}
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end
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end
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82
src/advent/heap.cr
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82
src/advent/heap.cr
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class Array(T)
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def bubble_up(i, &cmp)
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return if i >= size
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while i != 0
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j = (i-1)//2
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break if yield self[i], self[j]
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self[i], self[j] = self[j], self[i]
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i = j
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end
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end
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def percalate_down(i, &cmp)
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while i*2+1 < size
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j1, j2 = i*2+1, i*2+2
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v1 = self[j1]
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v2 = self[j2]?
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if v2 && (yield v1, v2) && (yield self[i], v2)
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self[j2], self[i] = self[i], v2
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i = j2
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elsif yield self[i], v1
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self[j1], self[i] = self[i], v1
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i = j1
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else
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break
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end
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end
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end
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def heapify!(&cmp : T,T -> Bool)
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size.times do |i|
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bubble_up(i, &cmp)
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end
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self
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end
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def heapify!
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heapify! do |i,j|
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i < j
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end
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end
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def heap_push(v, &cmp : T,T -> Bool)
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self << v
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bubble_up(size - 1, &cmp)
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end
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def heap_push(v)
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heap_push(v) do |i,j|
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i < j
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end
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end
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def heap_pop(&cmp : T,T -> Bool)
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self[0], self[size-1] = self[size-1], self[0]
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v = pop
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percalate_down(0, &cmp)
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v
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end
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def heap_pop
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heap_pop do |i, j|
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i < j
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end
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end
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def is_heap?(&cmp : T,T -> Bool)
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(size-1).times do |i|
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i = size - i - 1
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vi = self[i]
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vp = self[(i-1)//2]
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return false unless (yield self[i], self[(i-1)//2]) || vi == vp
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end
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return true
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end
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def is_heap?
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is_heap? do |i,j|
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i < j
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end
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end
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end
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39
src/advent/knapsack.cr
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39
src/advent/knapsack.cr
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class Array(T)
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def knapsack(budget, &cv : T -> {Int32,Int32})
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cost_values = map &cv
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memo = {} of {Int32, Int32} => Int32
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bt = {} of {Int32, Int32} => Bool
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compute = uninitialized Int32, Int32 -> Int32
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compute = ->(size : Int32, budget : Int32) {
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if m = memo[{size, budget}]?
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return m
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end
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return memo[{size, budget}] = 0 if size == 0
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cost, value = cost_values[size-1]
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no_val = compute.call(size-1, budget)
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yes_val = (budget < cost) ? 0 : compute.call(size-1, budget - cost) + value
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if yes_val > no_val
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bt[{size, budget}] = true
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return yes_val
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else
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bt[{size, budget}] = false
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return no_val
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end
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}
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value = compute.call(size, budget)
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i = size
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items = [] of T
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while i != 0
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if bt[{i, budget}]
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items << self[i-1]
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budget -= cost_values[i-1][0]
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end
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i -= 1
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end
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{value, items}
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end
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end
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