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package com.laya
import kotlin.math.abs
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test
class LayaDecoderParityTest {
@Test
fun everyCapturedOfficialAnswerMatchesExactlyAtIdentityTemperature() {
val details = mutableListOf<Map<String, Any?>>()
val failures = mutableListOf<Map<String, Any?>>()
var maxProbabilityError = 0.0
for (window in listOf(256, 512)) {
val rows = LayaTestData.rows(window)
assertEquals(201, rows.size)
for (row in rows) {
val question = LayaPromptBuilder.normalize(LayaJson.asObject(row["question"]))
val raw = LayaTestData.floats(row["raw_logits"])
val act = LayaTestData.floats(row["raw_act_logits"])
assertEquals((row["K"] as Number).toInt(), question.optionCount)
assertEquals((row["qtype"] as Number).toInt(), question.qtype)
val actual = LayaDecoder.decode(raw, act, question)
val difference = LayaTestData.difference(row["official_answer"], actual)
val expectedP = LayaTestData.floats(row["probabilities"])
val p = LayaDecoder.probabilities(raw, question)
for (i in p.indices) maxProbabilityError =
maxOf(maxProbabilityError, abs(p[i].toDouble() - expectedP[i].toDouble()))
val detail =
linkedMapOf<String, Any?>(
"row_id" to row["row_id"],
"window" to window,
"exact" to (difference == null),
"finite" to
(p.all { it.isFinite() } && raw.all { it.isFinite() } && act.all { it.isFinite() }),
"actual_answer" to actual,
)
if (difference != null) {
detail["difference"] = difference
detail["expected_answer"] = row["official_answer"]
detail["probabilities"] = p
failures.add(detail)
}
details.add(detail)
}
}
LayaTestData.report(
"jvm_decoder_official_parity.json",
linkedMapOf(
"status" to if (failures.isEmpty()) "PASS" else "FAIL",
"rows" to details.size,
"exact" to details.size - failures.size,
"all_finite" to details.all { it["finite"] == true },
"max_abs_probability_error_unrounded" to maxProbabilityError,
"failures" to failures,
"details" to details,
),
)
assertEquals(402, details.size)
assertTrue("Non-finite host arithmetic", details.all { it["finite"] == true })
LayaTestData.assertNoFailures("Official decoder parity", failures)
}
@Test
fun everyCalibratedAnswerMatchesPythonHostExactly() {
val calibration =
LayaCalibration.load(LayaTestData.required("host_assets/laya_ml_calibration.json"))
val references =
LayaJson.asArray(
LayaJson.asObject(LayaTestData.read("fixtures/calibrated_reference.json"))["rows"]
)
.map(LayaJson::asObject)
assertEquals(402, references.size)
val captured =
listOf(256, 512).flatMap(LayaTestData::rows).associateBy { "${it["window"]}/${it["row_id"]}" }
val failures = mutableListOf<Map<String, Any?>>()
var maxProbabilityError = 0.0
var maxFeatureError = 0.0
val details =
references.map { reference ->
val key = "${reference["window"]}/${reference["row_id"]}"
val row = captured[key] ?: error("Missing captured raw logits for $key")
val question = LayaPromptBuilder.normalize(LayaJson.asObject(row["question"]))
val raw = LayaTestData.floats(row["raw_logits"])
val actual =
LayaDecoder.decode(raw, LayaTestData.floats(row["raw_act_logits"]), question, calibration)
val p = LayaDecoder.probabilities(raw, question, calibration)
val features = LayaDecoder.actFeatures(raw)
val expectedP = LayaTestData.floats(reference["probabilities"])
for (i in p.indices) maxProbabilityError =
maxOf(maxProbabilityError, abs(p[i].toDouble() - expectedP[i].toDouble()))
val featureList = LayaJson.asArray(reference["act_features"])
val expectedFeatures =
LayaTestData.floats(
if (featureList.firstOrNull() is List<*>) featureList[0] else featureList
)
for (i in features.indices) maxFeatureError =
maxOf(maxFeatureError, abs(features[i].toDouble() - expectedFeatures[i].toDouble()))
val difference = LayaTestData.difference(reference["answer"], actual)
val detail =
linkedMapOf<String, Any?>(
"row_id" to row["row_id"],
"window" to row["window"],
"exact" to (difference == null),
"finite" to (p.all { it.isFinite() } && features.all { it.isFinite() }),
"actual_answer" to actual,
)
if (difference != null) {
detail["difference"] = difference
detail["expected_answer"] = reference["answer"]
detail["probabilities"] = p
failures.add(detail)
}
detail
}
LayaTestData.report(
"jvm_decoder_calibrated_parity.json",
linkedMapOf(
"status" to if (failures.isEmpty()) "PASS" else "FAIL",
"rows" to details.size,
"exact" to details.size - failures.size,
"all_finite" to details.all { it["finite"] == true },
"max_abs_probability_error_unrounded" to maxProbabilityError,
"max_abs_act_feature_error" to maxFeatureError,
"failures" to failures,
"details" to details,
),
)
assertTrue("Non-finite calibrated arithmetic", details.all { it["finite"] == true })
LayaTestData.assertNoFailures("Calibrated decoder parity", failures)
}
@Test
fun bucketPrecedenceTemperatureFloorAndFirstTieFollowContract() {
val calibration = LayaCalibration(doubleArrayOf(2.0, 3.0, 4.0), mapOf("choice:2" to 0.0))
assertEquals(0.0, calibration.temperature("choice", 2), 0.0)
assertEquals(2.0, calibration.temperature("choice", 12), 0.0)
assertEquals("choice:6-10", LayaCalibration.bucket("choice", 6))
val q = LayaQuestion("choice", "", linkedMapOf("first" to null, "second" to null))
val p = LayaDecoder.probabilities(floatArrayOf(0f, 0.001f), q, calibration)
assertEquals(0.7310586f.toDouble(), p[1].toDouble(), 1e-7)
val tied = LayaDecoder.decode(floatArrayOf(0f, 0f), floatArrayOf(0f, 0f), q)
assertEquals("first", tied["choice"])
assertEquals(0.0, tied["confidence"])
assertEquals(1.0, LayaDecoder.confidence(floatArrayOf(1f)), 0.0)
}
@Test
fun roundingUsesTheExactBinaryValueAndKeepsNegativeZero() {
assertEquals(0.0624, LayaDecoder.round4(0.06245), 0.0)
assertEquals(0.0625, LayaDecoder.round4(Math.nextUp(0.06245)), 0.0)
assertEquals(0.0625, LayaDecoder.round4(0.0625), 0.0)
assertEquals(
java.lang.Double.doubleToRawLongBits(-0.0),
java.lang.Double.doubleToRawLongBits(LayaDecoder.round4(-0.000001)),
)
}
}
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