Files
zephyr 7085fea1b7
ci/woodpecker/push/horsebot Pipeline was successful
ci/woodpecker/push/zenno Pipeline was successful
umadump/replay: implement race sim decoding
2026-08-30 01:56:43 -04:00

29 lines
15 KiB
Go

package replay_test
import (
_ "embed"
"encoding/json"
"testing"
"git.sunturtle.xyz/zephyr/horse/umadump/replay"
"github.com/google/go-cmp/cmp"
)
//go:embed simdata-Mihono_Bourbon-74.2421s-20260829.json
var hakurakuGold []byte
func TestDecodeSim(t *testing.T) {
var want replay.RaceSimulateData
if err := json.Unmarshal(hakurakuGold, &want); err != nil {
panic(err)
}
const b = "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"
got, err := replay.DecodeSim(b)
if err != nil {
t.Errorf("decode: %v", err)
}
if diff := cmp.Diff(&want, got); diff != "" {
t.Errorf("wrong result (+got/-want):\n%s", diff)
}
}