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fix unused imports and minor warnings (#1578)
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brharrington authored Sep 18, 2023
1 parent b5dc8c0 commit a34ca16
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Showing 63 changed files with 181 additions and 206 deletions.
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Expand Up @@ -32,7 +32,7 @@ class CsvGraphEngine(val name: String, val contentType: String, sep: String) ext
val numberFmt = config.numberFormat
writer.append("\"timestamp\"")
(0 until count).zip(seriesList).map {
case (i, series) =>
case (_, series) =>
val label = "\"%s\"".format(series.data.label)
writer.append(sep).append(label)
}
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Expand Up @@ -20,10 +20,11 @@ import java.awt.Font
import java.awt.Stroke
import java.awt.image.BufferedImage
import java.util.concurrent.ConcurrentHashMap

import com.netflix.atlas.chart.util.Fonts
import com.netflix.iep.config.ConfigManager

import java.awt.Graphics2D

object ChartSettings {

private val config = ConfigManager.dynamicConfig().getConfig("atlas.chart")
Expand Down Expand Up @@ -52,7 +53,7 @@ object ChartSettings {
* is created.
*/
val refImage = new BufferedImage(1, 1, BufferedImage.TYPE_INT_ARGB)
val refGraphics = refImage.createGraphics()
val refGraphics: Graphics2D = refImage.createGraphics()

/** Dashed stroke typically used for grid lines. */
val dashedStroke: Stroke = {
Expand All @@ -69,38 +70,38 @@ object ChartSettings {
/**
* Base monospaced font used for graphics. Monospace is used to make the layout easier.
*/
val monospaceFont = Fonts.loadFont(config.getString("fonts.monospace"))
val monospaceFont: Font = Fonts.loadFont(config.getString("fonts.monospace"))

/** Small sized monospaced font. */
val smallFont = monospaceFont.deriveFont(10.0f)
val smallFont: Font = monospaceFont.deriveFont(10.0f)

/** Normal sized monospaced font. */
val normalFont = monospaceFont
val normalFont: Font = monospaceFont

/** Large sized monospaced font. */
val largeFont = monospaceFont.deriveFont(14.0f)
val largeFont: Font = monospaceFont.deriveFont(14.0f)

/** Dimensions for a character using the small font. */
val smallFontDims = dimensions(smallFont)
val smallFontDims: Dimensions = dimensions(smallFont)

/** Dimensions for a character using the normal font. */
val normalFontDims = dimensions(normalFont)
val normalFontDims: Dimensions = dimensions(normalFont)

/** Dimensions for a character using the large font. */
val largeFontDims = dimensions(largeFont)
val largeFontDims: Dimensions = dimensions(largeFont)

/**
* Minimum width required for text elements. Value was chosen to allow typical messages to
* display with a reasonable level of wrapping.
*/
val minWidthForText = smallFontDims.width * "Warnings: abcdef".length
val minWidthForText: Int = smallFontDims.width * "Warnings: abcdef".length

/**
* Minimum width required for text elements. Value was chosen to allow the typical legend with
* stats to show cleanly. It also keeps the cutoff below the level of sizes that are frequently
* used in practice.
*/
val minWidthForStats = smallFontDims.width * 45
val minWidthForStats: Int = smallFontDims.width * 45

/**
* Determine the dimensions for a single character using `font`. It is assumed that the font
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Expand Up @@ -43,5 +43,5 @@ case class Style(color: Color = Color.BLACK, stroke: Stroke = new BasicStroke(1.
}

object Style {
val default = Style()
val default: Style = Style()
}
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Expand Up @@ -42,7 +42,7 @@ case class Text(
) extends Element
with VariableHeight {

lazy val dims = ChartSettings.dimensions(font)
lazy val dims: ChartSettings.Dimensions = ChartSettings.dimensions(font)

def truncate(width: Int): Text = {
val maxChars = (width - Text.rightPadding) / dims.width
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Expand Up @@ -37,7 +37,7 @@ object Ticks {
private val monthTimeFmt: DateTimeFormatter = DateTimeFormatter.ofPattern("MMM")
private val yearTimeFmt: DateTimeFormatter = DateTimeFormatter.ofPattern("yyyy")

val timeBoundaries = List(
val timeBoundaries: List[(ChronoField, DateTimeFormatter)] = List(
ChronoField.SECOND_OF_MINUTE -> DateTimeFormatter.ofPattern(":ss"),
ChronoField.MINUTE_OF_HOUR -> DateTimeFormatter.ofPattern("HH:mm"),
ChronoField.HOUR_OF_DAY -> DateTimeFormatter.ofPattern("HH:mm")
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Expand Up @@ -291,7 +291,7 @@ case class RightValueAxis(plotDef: PlotDef, styles: Styles, min: Double, max: Do

object ValueAxis {

val labelHeight = ChartSettings.normalFontDims.height
val labelHeight: Int = ChartSettings.normalFontDims.height

/**
* Width of value tick labels. The assumption is a monospace font with 7 characters. The 7 is
Expand All @@ -300,9 +300,9 @@ object ValueAxis {
* - `[sign][3digits][decimal point][1digit][suffix]`: e.g., `-102.3K`
* - `-1.0e-5`
*/
val tickLabelWidth = ChartSettings.smallFontDims.width * 7
val tickLabelWidth: Int = ChartSettings.smallFontDims.width * 7

val tickMarkLength = 4

val minTickLabelHeight = ChartSettings.smallFontDims.height * 3
val minTickLabelHeight: Int = ChartSettings.smallFontDims.height * 3
}
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Expand Up @@ -28,17 +28,14 @@ public enum TickLabelMode {
OFF,

/**
* Use decimal metric prefixes for tick labels.
*
* https://en.wikipedia.org/wiki/Metric_prefix
* Use decimal <a href="https://en.wikipedia.org/wiki/Metric_prefix">metric prefixes</a> for
* tick labels.
*/
DECIMAL,

/**
* Use binary prefixes for tick labels. Typically only used for data in bytes such as disk
* sizes.
*
* https://en.wikipedia.org/wiki/Binary_prefix
* Use <a href="https://en.wikipedia.org/wiki/Binary_prefix">binary prefixes</a> for tick
* labels. Typically only used for data in bytes such as disk sizes.
*/
BINARY,

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Expand Up @@ -19,7 +19,7 @@

/**
* Convert a color to simulate a type of color blindness for those with normal vision. Based on:
* http://web.archive.org/web/20081014161121/http://www.colorjack.com/labs/colormatrix/
* <a href="http://web.archive.org/web/20081014161121/http://www.colorjack.com/labs/colormatrix/">colormatrix</a>.
*/
public enum VisionType {
normal(new double[] {
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Expand Up @@ -88,7 +88,7 @@ class GraphAssertions(goldenDir: String, targetDir: String, assert: (Any, Any) =
</html>"""

Using.resource(Streams.fileOut(new File(s"$targetDir/report.html"))) { out =>
out.write(report.toString.getBytes("UTF-8"))
out.write(report.getBytes("UTF-8"))
}
}

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Expand Up @@ -210,8 +210,6 @@ object PngImage {

case class PngImage(data: RenderedImage, metadata: Map[String, String] = Map.empty) {

type JList = java.util.List[String]

def toByteArray: Array[Byte] = {
val buffer = new ByteArrayOutputStream
write(buffer)
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Expand Up @@ -216,7 +216,7 @@ class MemoryBlockStore(step: Long, blockSize: Int, numBlocks: Int) extends Block
}

override def toString: String = {
val buf = new StringBuilder
val buf = new java.lang.StringBuilder
(0 until numBlocks).foreach { i =>
buf.append(i.toString).append(" => ").append(blocks(i))
if (i == currentPos) buf.append(" (current)")
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Expand Up @@ -180,7 +180,7 @@ sealed trait Block {
* @param aggr the aggregate value to read from the block
*/
def get(pos: Int, aggr: Int = Block.Sum): Double = {
import java.lang.{Double as JDouble}
import java.lang.Double as JDouble
val v = get(pos)
(aggr: @scala.annotation.switch) match {
case Block.Sum => v
Expand Down Expand Up @@ -312,7 +312,7 @@ case class ArrayBlock(var start: Long, size: Int) extends MutableBlock {
* @return number of values that were changed as a result of the merge operation
*/
def merge(b: Block): Int = {
import java.lang.{Double as JDouble}
import java.lang.Double as JDouble
var changed = 0
var i = 0
while (i < size) {
Expand Down Expand Up @@ -353,7 +353,7 @@ case class ArrayBlock(var start: Long, size: Int) extends MutableBlock {
}

override def toString: String = {
val buf = new StringBuilder
val buf = new java.lang.StringBuilder
buf.append("ArrayBlock(").append(start).append(",").append(size).append(",")
buf.append("Array(").append(buffer.mkString(",")).append(")")
buf.append(")")
Expand Down Expand Up @@ -383,7 +383,7 @@ object FloatArrayBlock {
*/
case class FloatArrayBlock(start: Long, size: Int) extends Block {

val buffer = ArrayHelper.fill(size, Float.NaN)
val buffer: Array[Float] = ArrayHelper.fill(size, Float.NaN)

def get(pos: Int): Double = buffer(pos).asInstanceOf[Double]
val byteCount: Int = 2 + sizeOf(buffer)
Expand Down Expand Up @@ -411,7 +411,7 @@ case class FloatArrayBlock(start: Long, size: Int) extends Block {
}

override def toString: String = {
val buf = new StringBuilder
val buf = new java.lang.StringBuilder
buf.append("FloatArrayBlock(").append(start).append(",").append(size).append(",")
buf.append("Array(").append(buffer.mkString(",")).append(")")
buf.append(")")
Expand Down Expand Up @@ -736,7 +736,7 @@ object SparseBlock {
case v if v != v => NaN
case v if v == 0.0 => ZERO
case v if v == 1.0 => ONE
case v => UNDEFINED
case _ => UNDEFINED
}
}

Expand Down Expand Up @@ -797,7 +797,7 @@ case class SparseBlock(start: Long, indexes: Array[Byte], values: Array[Double])
}

override def toString: String = {
val buf = new StringBuilder
val buf = new java.lang.StringBuilder
buf.append("SparseBlock(").append(start).append(",")
buf.append("Array(").append(indexes.mkString(",")).append("),")
buf.append("Array(").append(values.mkString(",")).append(")")
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Expand Up @@ -300,7 +300,7 @@ object DataExpr {
val sorted = groups.sortWith(_._1 < _._1)
val newData = sorted.flatMap {
case (null, _) => Nil
case (k, Nil) => List(TimeSeries.noData(query, context.step))
case (_, Nil) => List(TimeSeries.noData(query, context.step))
case (k, ts) =>
val tags = ts.head.tags.filter(e => ks.contains(e._1))
af.eval(context, ts).data.map { t =>
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Expand Up @@ -1009,7 +1009,7 @@ object MathExpr {
// aggregate function. Modifications to the aggregate need to be represented
// after the operation as part of the expression string. There are two
// categories: offsets applied to the data function and group by.
val buffer = new StringBuilder
val buffer = new java.lang.StringBuilder
buffer.append(s"$q,:$name")
getOffset(evalExpr).foreach(d => buffer.append(s",$d,:offset"))

Expand All @@ -1018,7 +1018,7 @@ object MathExpr {
buffer.append(grouping.mkString(",(,", ",", ",),:by"))
}

buffer.toString()
buffer.toString
case t: TimeSeriesExpr if groupingMatches =>
// The passed in expression maybe the result of a rewrite to the display expression
// that was not applied to the eval expression. If it changes the grouping, then it
Expand Down
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Expand Up @@ -270,7 +270,7 @@ object MathVocabulary extends Vocabulary {
case StringListType(_) :: TimeSeriesType(t) :: _ if t.isGrouped =>
// Multi-level group by with an implicit aggregate of :sum
true
case StringListType(_) :: TimeSeriesType(t) :: _ =>
case StringListType(_) :: TimeSeriesType(_) :: _ =>
// Default data or math aggregate group by applied across math operations
true
}
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Expand Up @@ -431,7 +431,7 @@ object QueryVocabulary extends Vocabulary {
}

protected def executor: PartialFunction[List[Any], List[Any]] = {
case Nil :: (k: String) :: s => Query.False :: s
case Nil :: (_: String) :: s => Query.False :: s
case ((v: String) :: Nil) :: (k: String) :: s => Query.Equal(k, v) :: s
case StringListType(vs) :: (k: String) :: s => Query.In(k, vs) :: s
}
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Expand Up @@ -26,7 +26,7 @@ object SummaryStats {
var min = Double.PositiveInfinity
var last = Double.NaN

ts.foreach(start, end) { (t, v) =>
ts.foreach(start, end) { (_, v) =>
if (!v.isNaN) {
total += v
count += 1
Expand Down
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Expand Up @@ -53,7 +53,7 @@ trait TimeSeq {
val length = ((end - start) / step).toInt
val data = new Array[Double](length)
var i = 0
foreach(start, end) { (t, v) =>
foreach(start, end) { (_, v) =>
data(i) = v
i += 1
}
Expand Down Expand Up @@ -102,7 +102,7 @@ final class ArrayTimeSeq(
def update(ts: TimeSeq)(op: BinaryOp): Unit = {
require(step == ts.step, "step sizes must be the same")
var i = 0
ts.foreach(start, end) { (t, v) =>
ts.foreach(start, end) { (_, v) =>
data(i) = op(data(i), v)
i += 1
}
Expand Down Expand Up @@ -131,7 +131,7 @@ final class ArrayTimeSeq(
}

override def hashCode: Int = {
import java.lang.{Long as JLong}
import java.lang.Long as JLong
val prime = 31
var hc = prime
hc = hc * prime + dsType.hashCode()
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Expand Up @@ -19,5 +19,4 @@ package object model {

type UnaryOp = Double => Double
type BinaryOp = (Double, Double) => Double
type TimeSeriesInput = Iterator[(String, TimeSeries)]
}
Original file line number Diff line number Diff line change
Expand Up @@ -57,12 +57,12 @@ object IsoDateTimeParser {
str match {
case IsoDate(d) => s"${d}T00:00:00"
case IsoDateZ(d, z) => s"${d}T00:00:00${normalizeZone(z)}"
case IsoDateTimeHHMM(d) => s"${d}:00"
case IsoDateTimeHHMMZ(d, z) => s"${d}:00${normalizeZone(z)}"
case IsoDateTimeHHMMSS(d) => s"${d}"
case IsoDateTimeHHMMSSZ(d, z) => s"${d}${normalizeZone(z)}"
case IsoDateTimeHHMMSSmmm(d) => s"${d}"
case IsoDateTimeHHMMSSmmmZ(d, z) => s"${d}${normalizeZone(z)}"
case IsoDateTimeHHMM(d) => s"$d:00"
case IsoDateTimeHHMMZ(d, z) => s"$d:00${normalizeZone(z)}"
case IsoDateTimeHHMMSS(d) => d
case IsoDateTimeHHMMSSZ(d, z) => s"$d${normalizeZone(z)}"
case IsoDateTimeHHMMSSmmm(d) => d
case IsoDateTimeHHMMSSmmmZ(d, z) => s"$d${normalizeZone(z)}"
case _ => str
}
}
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Expand Up @@ -20,7 +20,7 @@
/**
* Copied from the apache-mahout project.
*
* Not of interest for users; only for implementors of hashtables.
* <p>Not of interest for users; only for implementors of hashtables.
* Used to keep hash table capacities prime numbers.
*
* <p>Choosing prime numbers as hash table capacities is a good idea to keep them working fast,
Expand All @@ -43,19 +43,19 @@ class PrimeFinder {
* next element is a prime P2. P2 is the smallest prime for which holds: P2 >= 2*P1. The next element is P3, for which
* the same holds with respect to P2, and so on.
*
* Chunks are chosen such that for any desired capacity >= 1000 the list includes a prime number <= desired capacity *
* <p>Chunks are chosen such that for any desired capacity >= 1000 the list includes a prime number <= desired capacity *
* 1.11 (11%). For any desired capacity >= 200 the list includes a prime number <= desired capacity * 1.16 (16%). For
* any desired capacity >= 16 the list includes a prime number <= desired capacity * 1.21 (21%).
*
* Therefore, primes can be retrieved which are quite close to any desired capacity, which in turn avoids wasting
* <p>Therefore, primes can be retrieved which are quite close to any desired capacity, which in turn avoids wasting
* memory. For example, the list includes 1039,1117,1201,1277,1361,1439,1523,1597,1759,1907,2081. So if you need a
* prime >= 1040, you will find a prime <= 1040*1.11=1154.
*
* Chunks are chosen such that they are optimized for a hashtable growthfactor of 2.0; If your hashtable has such a
* <p>Chunks are chosen such that they are optimized for a hashtable growthfactor of 2.0; If your hashtable has such a
* growthfactor then, after initially "rounding to a prime" upon hashtable construction, it will later expand to prime
* capacities such that there exist no better primes.
*
* In total these are about 32*10=320 numbers -> 1 KB of static memory needed. If you are stingy, then delete every
* <p>In total these are about 32*10=320 numbers -> 1 KB of static memory needed. If you are stingy, then delete every
* second or fourth chunk.
*/

Expand Down
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