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import org.junit.Assert.assertEquals
import org.junit.Assert.assertFalse
import org.junit.Assert.assertTrue
import org.junit.Test
class AIFlowMathInkTest {
/** ํ์ ๋ณ์: ๊ฒฐ์ ์ logit. ์๋ ์๋ฆฌ: native runtime ์์ด API์ privacy ๊ณ์ฝ์ ๊ฒ์ฆํ๋ค. */
private class FakeSession : LiteRtSession {
override val modelVersion = "test-0.6"
override val exactLabelCount = 3
var onlineCalls = 0
var rasterCalls = 0
override fun runOnline(features: FloatArray): FloatArray {
assertEquals(128 * 19, features.size)
onlineCalls += 1
return floatArrayOf(0.0f, 3.0f, 1.0f)
}
override fun runRaster(rasterInk: FloatArray): FloatArray {
assertEquals(128 * 128, rasterInk.size)
rasterCalls += 1
return floatArrayOf(2.0f, 0.0f, 1.0f)
}
override fun runRasterDebug(rasterInk: FloatArray): RasterInference {
assertEquals(128 * 128, rasterInk.size)
rasterCalls += 1
return RasterInference(
exactLogits = floatArrayOf(2.0f, 0.0f, 1.0f),
virtualHypotheses = List(4) { hypothesis ->
VirtualStrokeHypothesis(
points = FloatArray(128 * 2) { hypothesis.toFloat() },
stateLogits = FloatArray(128 * 3),
progress = FloatArray(128) { it / 127.0f },
logProbability = -hypothesis.toFloat(),
)
},
)
}
override fun close() = Unit
}
private fun stroke(withTime: Boolean = true) = InkStroke(
strokeId = 7,
order = 0,
points = listOf(
InkPoint(10.0f, 10.0f, if (withTime) 0L else null),
InkPoint(40.0f, 40.0f, if (withTime) 200L else null),
InkPoint(80.0f, 20.0f, if (withTime) 400L else null),
),
)
@Test
fun canonicalEncoderPreservesRawAndObservedAnchors() {
val ink = CanonicalTapEncoder().encodeOnline(
listOf(stroke()),
InkCanvas(100.0f, 100.0f),
)
assertEquals(TimestampMode.OBSERVED, ink.timestampMode)
assertEquals(7, ink.rawStrokes.single().strokeId)
assertTrue(ink.canonicalTaps.first().strokeStart)
assertTrue(ink.canonicalTaps.last().strokeEnd)
assertTrue(ink.canonicalTaps.last().penUp)
assertEquals(128 * 19, ink.features.size)
assertTrue((0 until 128).all { ink.features[it * 19 + 17] == 0.0f })
}
@Test
fun canonicalFeaturesMatchPythonTrainingPreprocessorWithinFloatTolerance() {
val ink = CanonicalTapEncoder().encodeOnline(
listOf(stroke()),
InkCanvas(100.0f, 100.0f),
)
val expected = mapOf(
0 to floatArrayOf(
0.0f, 0.0f, 0.0625f, 0.3125f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f,
2.3333333f, 0.1f, 0.4f, 0.3f, 0.25f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f,
),
1 to floatArrayOf(
0.006602364f, 0.0185185f, 0.06827707f, 0.31827706f, 0.33582273f,
0.94192517f, 0.0f, 0.0f, 0.007874016f, 2.3333333f, 0.1f, 0.4f,
0.3f, 0.25f, 1.0f, 0.0030811024f, 1.3258247f, 0.0f, 0.0f,
),
63 to floatArrayOf(
0.4375688f, 0.9423623f, 0.4453727f, 0.60648084f, 0.804563f,
-0.5938673f, -0.000012785f, 0.0f, 0.496063f, 2.3333333f, 0.1f,
0.4f, 0.3f, 0.25f, 1.0f, 0.0033267364f, 1.2279294f, 0.0f, 0.0f,
),
127 to floatArrayOf(
1.0f, 0.40069035f, 0.9375f, 0.4375f, 0.580574f, -0.81420743f,
0.0f, 0.0f, 1.0f, 2.3333333f, 0.1f, 0.4f, 0.3f, 0.25f, 1.0f,
0.002923004f, 1.3975347f, 0.0f, 0.0f,
),
)
expected.forEach { (row, values) ->
values.forEachIndexed { channel, value ->
assertEquals(
"row=$row channel=$channel",
value,
ink.features[row * 19 + channel],
1e-4f,
)
}
}
}
@Test
fun missingTimestampUsesCanonicalModeAndMask() {
val ink = CanonicalTapEncoder().encodeOnline(
listOf(stroke(withTime = false)),
InkCanvas(100.0f, 100.0f),
)
assertEquals(TimestampMode.CANONICAL, ink.timestampMode)
assertTrue((0 until 128).all { ink.features[it * 19 + 17] == 1.0f })
}
@Test
fun recognizeReturnsOnlyPublicFields() {
val session = FakeSession()
val runtime = AIFlowMathInk(session, listOf("0", "x", "+"))
val result = runtime.recognizeOnline(
listOf(stroke()),
InkCanvas(100.0f, 100.0f),
)
assertEquals("x", result.candidates.first().token)
assertEquals(result.candidates.first().probability, result.confidence)
assertEquals(1, session.onlineCalls)
val payload = result.toServerPayload()
assertEquals(setOf("candidates", "confidence", "modelVersion", "latencyMs"), payload.keys)
assertFalse(payload.containsKey("rawStrokes"))
assertFalse(payload.containsKey("canonicalTaps"))
assertFalse(payload.containsKey("virtualHypotheses"))
}
@Test
fun rasterUsesLocalSessionAndReturnsTopK() {
val session = FakeSession()
val runtime = AIFlowMathInk(session, listOf("0", "x", "+"), topK = 2)
val result = runtime.recognizeRaster(
RasterInput(128, 128, FloatArray(128 * 128)),
)
assertEquals(listOf("0", "+"), result.candidates.map { it.token })
assertEquals(1, session.rasterCalls)
}
@Test
fun rasterDebugReturnsFourLocalHypothesesWithoutServerPayload() {
val session = FakeSession()
val runtime = AIFlowMathInk(session, listOf("0", "x", "+"), topK = 2)
val debug = runtime.recognizeRasterDebug(
RasterInput(128, 128, FloatArray(128 * 128)),
)
assertEquals("0", debug.symbol.candidates.first().token)
assertEquals(4, debug.virtualHypotheses.size)
assertEquals(128 * 2, debug.virtualHypotheses.first().points.size)
assertEquals(1, session.rasterCalls)
assertFalse(debug.symbol.toServerPayload().containsKey("virtualHypotheses"))
}
@Test
fun androidBenchmarkUsesNearestRankAndAllReleaseChecks() {
class Probe : AndroidBenchmarkProbe {
var nanos = 0L
var pss = 20L * 1024L * 1024L
override fun nowNanos() = nanos
override fun totalPssBytes() = pss
override fun batteryChargeMicroAh() = 1000
}
val probe = Probe()
val session = object : LiteRtSession {
override val modelVersion = "benchmark-0.6"
override val exactLabelCount = 3
override fun runOnline(features: FloatArray): FloatArray {
probe.nanos += 10_000_000L
return floatArrayOf(1.0f, 0.0f, 0.0f)
}
override fun runRaster(rasterInk: FloatArray): FloatArray {
probe.nanos += 100_000_000L
return floatArrayOf(1.0f, 0.0f, 0.0f)
}
override fun close() = Unit
}
val report = AndroidBenchmarkRunner(session, probe).run(
deviceTier = AndroidDeviceTier.LOW,
onlineModelSha256 = "a".repeat(64),
rasterModelSha256 = "b".repeat(64),
onlineInputs = listOf(FloatArray(128 * 19)),
rasterInputs = listOf(FloatArray(128 * 128)),
config = AndroidBenchmarkConfig(warmupRuns = 1, measuredRuns = 5),
deviceManufacturer = "fixture",
deviceModel = "fixture-low",
sdkInt = 24,
)
assertEquals(10.0, report.online.p95Ms, 0.0)
assertEquals(100.0, report.raster.p95Ms, 0.0)
assertEquals(20L * 1024L * 1024L, report.peakPssBytes)
assertTrue(report.gatePassed)
assertEquals(false, report.productValidation)
assertEquals("low", report.toMap()["device_tier"])
assertEquals(
modelBundleSha256("a".repeat(64), "b".repeat(64)),
report.modelBundleSha256,
)
}
@Test
fun androidBenchmarkFailsAnyExceededThreshold() {
val summary = summarizeLatency(listOf(1.0, 2.0, 3.0, 100.0))
assertEquals(100.0, summary.p95Ms, 0.0)
assertEquals(2.0, summary.p50Ms, 0.0)
}
}
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