Visualization with Julia

misc/.envrc

@@ -0,0 +1,3 @@
+# shellcheck shell=bash
+source $HOME/.config/direnv/envrc
+use flake

misc/flake.nix

@@ -0,0 +1,18 @@
+{
+  description = "A basic flake with a shell";
+  inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixpkgs-unstable";
+  inputs.flake-utils.url = "github:numtide/flake-utils";
+
+  outputs = { self, nixpkgs, flake-utils }:
+    flake-utils.lib.eachDefaultSystem (system: let
+      pkgs = nixpkgs.legacyPackages.${system};
+    in {
+      devShells.default = pkgs.mkShell {
+        packages = [
+          pkgs.bashInteractive
+          pkgs.graphviz
+          pkgs.julia-bin
+        ];
+      };
+    });
+}

misc/grid18.jl

@@ -0,0 +1,37 @@
+#!/usr/bin/env julia
+import Pkg
+# Pkg.add("JSON"),
+# Pkg.add("Plots"),
+# Pkg.add("GridVisualize"),
+# Pkg.add("Colors"),
+using JSON, Plots, Colors
+
+grid_data = JSON.parse(read("2024/day18.json", String))["line"]
+
+# Extract dimensions of the grid
+rows = 1 + maximum([g[1] for g in grid_data])
+cols = 1 + maximum([g[2] for g in grid_data])
+len = length(grid_data)
+
+# Create an empty matrix for plotting purposes
+grid_matrix = fill(RGB(1.0, 1.0, 1.0), rows, cols)
+for (i, g) in enumerate(grid_data)
+    c = (len - i) / len
+    grid_matrix[g[1]+1, g[2]+1] = RGB(c, c, c)
+end
+grid_matrix[1, 1] = RGB(1.0, 0.0, 0.0)
+
+# color_map = Dict(
+#     :red => RGB(1.0, 0.0, 0.0),
+#     :white => RGB(1.0, 1.0, 1.0),
+#     :black => RGB(0.0, 0.0, 0.0),
+# )
+# color_matrix = [color_map[element] for element in grid_matrix]
+
+heatmap(
+    # color_matrix,
+    grid_matrix,
+    title="Y2024 day18",
+    aspect_ratio=:equal
+)
+savefig("day18-grid.png")

misc/hist2024.jl

@@ -0,0 +1,34 @@
+#!/usr/bin/env julia
+# import Pkg
+# Pkg.add("JSON")
+# Pkg.add("Plots")
+# Pkg.add("KernelDensity")
+using JSON, Plots, KernelDensity
+
+data2024 = read("2024/execution_time.json", String)
+data = JSON.parse(data2024)
+times = [item["time"] for item in data if haskey(item, "time")]
+tl = log2.(times)
+ktd = kde(tl)
+
+histogram(
+    tl,
+    xlims=(-5, 20),
+    ylims=(0, 0.4),
+    bins=20,
+    normalize=true,
+    title="AoC2024 execution time distribution in Rust",
+    xlabel="log2(time[ms])",
+    # xlabel="時間",
+    ylabel="Freq",
+    legend=false,
+    # fontfamily="Noto Sans CJK JP"
+)
+plot!(
+    ktd.x,
+    ktd.density,
+    ylims=(0, 0.4),
+    color=:red,
+    linewidth=2)
+
+savefig("hist2024.png")