rename pp-plot output files
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@@ -179,7 +179,7 @@ osu!mania: (close to perfect values)
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<img src="./pp-plot/mania_accuracy.svg">
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osu!catch: (pretty accurate)
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<img src="./pp-plot/fruits_accuracy.svg">
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<img src="./pp-plot/catch_accuracy.svg">
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osu!taiko: (decently accurate, potentially more imprecise due to non-live changes in osu-tools)
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<img src="./pp-plot/taiko_accuracy.svg">
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-1
@@ -6,4 +6,4 @@ Small script to plot value differences between `rosu-pp`'s performance attribute
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- Rename `.env.example` to `.env` and put proper values for its variables:
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- `MAP_PATH` is the path to the folder containing a bunch of `{map_id}.osu` files
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- Run `cargo run --release`. The program will read the file at `../pp-gen/output.json`, calculate `rosu-pp` values, and plot the differences in the files `{mode}_accuracy.svg`.
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- Run `cargo run --release`. The program will read the file at `../pp-gen/output.json`, calculate `rosu-pp` values, and plot the differences in the files `accuracy_{mode}.svg`.
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Before Width: | Height: | Size: 14 KiB After Width: | Height: | Size: 14 KiB |
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@@ -175,7 +175,7 @@ impl Evaluator {
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/// Plot all gathered differences
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fn plot(self) -> Result<(), Error> {
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let mode = self.mode;
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let output_path = format!("{}_accuracy.svg", mode);
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let output_path = format!("accuracy_{}.svg", mode);
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let dataset = self.to_quartiles();
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let kind_list: Vec<_> = dataset.iter().map(|(kind, _)| *kind).collect();
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