plot-base/src/commonMain/kotlin/org/jetbrains/letsPlot/core/plot/base/stat/SmoothStat.kt [81:124]:
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        )  // also conditional Y_MIN / Y_MAX
        const val DEF_EVAL_POINT_COUNT = 80
        val DEF_SMOOTHING_METHOD = Method.LM
        const val DEF_CONFIDENCE_LEVEL = 0.95    // 95 %
        const val DEF_DISPLAY_CONFIDENCE_INTERVAL = true
        const val DEF_SPAN = 0.5
        const val DEF_DEG = 1
        const val DEF_LOESS_CRITICAL_SIZE = 1_000
        const val DEF_SAMPLING_SEED = 37L
    }


    override fun consumes(): List<Aes<*>> {
        return listOf(Aes.X, Aes.Y)
    }

    private fun needSampling(rowCount: Int): Boolean {
        if (smoothingMethod != Method.LOESS) {
            return false
        }

        if (rowCount <= loessCriticalSize) {
            return false
        }

        return true
    }

    private fun applySampling(data: DataFrame, messageConsumer: (s: String) -> Unit): DataFrame {
        val msg = "LOESS drew a random sample with max_n=$loessCriticalSize, seed=$samplingSeed"
        messageConsumer(msg)

        return SamplingUtil.sampleWithoutReplacement(loessCriticalSize, Random(samplingSeed), data)
    }

    override fun apply(data: DataFrame, statCtx: StatContext, messageConsumer: (s: String) -> Unit): DataFrame {
        if (!hasRequiredValues(data, Aes.Y)) {
            return withEmptyStatValues()
        }

        @Suppress("NAME_SHADOWING")
        var data = data

        if (needSampling(data.rowCount())) {
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plot-base/src/commonMain/kotlin/org/jetbrains/letsPlot/core/plot/base/stat/SmoothStatInfo.kt [48:90]:
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        )
        const val DEF_EVAL_POINT_COUNT = 80
        val DEF_SMOOTHING_METHOD = Method.LM
        const val DEF_CONFIDENCE_LEVEL = 0.95    // 95 %
        const val DEF_DISPLAY_CONFIDENCE_INTERVAL = true
        const val DEF_SPAN = 0.5
        const val DEF_DEG = 1
        const val DEF_LOESS_CRITICAL_SIZE = 1_000
        const val DEF_SAMPLING_SEED = 37L
    }

    override fun consumes(): List<Aes<*>> {
        return listOf(Aes.X, Aes.Y)
    }

    private fun needSampling(rowCount: Int): Boolean {
        if (smoothingMethod != Method.LOESS) {
            return false
        }

        if (rowCount <= loessCriticalSize) {
            return false
        }

        return true
    }

    private fun applySampling(data: DataFrame, messageConsumer: (s: String) -> Unit): DataFrame {
        val msg = "LOESS drew a random sample with max_n=$loessCriticalSize, seed=$samplingSeed"
        messageConsumer(msg)

        return SamplingUtil.sampleWithoutReplacement(loessCriticalSize, Random(samplingSeed), data)
    }

    override fun apply(data: DataFrame, statCtx: StatContext, messageConsumer: (s: String) -> Unit): DataFrame {
        if (!hasRequiredValues(data, Aes.Y)) {
            return withEmptyStatValues()
        }

        @Suppress("NAME_SHADOWING")
        var data = data

        if (needSampling(data.rowCount())) {
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