GeneratingREPL

abstract def generator: Arbitrary[T]

The generator to use to make values of type T.

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val banner: String

def checkFor(record: Record, dim: Dimension, eventtype: String, needed: Dimension)(f: (Value) ⇒ Value): Value

def clone(): AnyRef

def createConfig(args: Seq[String], emitter: Emitter = new Emitter): REPLConfig

Generating REPLs insist on processing whitespace.

def dimValue(record: Record, dim: Dimension): Value

def driver(args: Seq[String]): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def finishReport(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def includeTimings: Boolean

def isEventType(record: Record, eventtype: String): Boolean

final def isInstanceOf[T0]: Boolean

def main(args: Array[String]): Unit

def nanoToMs(nano: Long): Long

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def output(str: String): Unit

def outputln(str: String): Unit

def parseProfileOption(value: String): Seq[Dimension]

def percent(v: Long, total: Long): String

def printDependencyGraph(record: Record, dim: Dimension): Unit

def printReports(totalTime: Long, dimensionNames: Seq[Dimension], records: List[Record]): Unit

var printTables: Boolean

def process(t: T, config: REPLConfig): Unit

Process a generated value.

def processline(line: String, config: REPLConfig): REPLConfig

Generate a new instance and print it, ignoring the input line.

final def processlines(config: REPLConfig): Unit

def profile[T](computation: ⇒ T, dimensionNames: Seq[Dimension], logging: Boolean): T

def profileStart(logging: Boolean): Unit

def profileStop(): (Seq[Dimension]) ⇒ Unit

def profileStop(dimensionNames: Seq[Dimension]): Unit

def profileStopInteractive(): Unit

val prompt: String

def startReport(dimensionNames: Seq[Dimension]): Unit

var startTime: Long

def subjectsToStep(src: Any, dst: Any): Step

def summariseAlongDims(dimensionNames: Seq[Dimension], records: List[Record], nrecords: Int, profiledTime: Long): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def time[T](computation: ⇒ T, warmup: Int, n: Int, discard: Int): Unit

def toString(): String

def trace(predicate: (Event) ⇒ Boolean): Unit

def valueToString(a: Value): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit