GenMonad

abstract def choose(min: Int, max: Int): Gen[Int]

Creates a generator that produces values uniformly distributed across the range

abstract def const[A](c: A): Gen[A]

Creates a generator that always returns the same value

abstract def flatMap[A, B](a: Gen[A])(f: (A) ⇒ Gen[B]): Gen[B]

Creates a new generator that applies the function to the output of the first generator and flattens the result

abstract def generate[A](ga: Gen[A]): A

Runs the given generator and returns the generated value

abstract def map[A, B](a: Gen[A])(f: (A) ⇒ B): Gen[B]

Creates a new generator that applies the function to the output of the first generator

abstract def oneOf[A](items: A*): Gen[A]

Creates a generator that uniformly selects from a list of items

abstract def widen[A, B >: A](ga: Gen[A]): Gen[B]

Returns the same generator but with a wider type parameter

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def flatten[A](gga: Gen[Gen[A]]): Gen[A]

Flattens a nested generator into a single generator

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit