Dimension

abstract val prov: Prov[D, I, P]

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def autojoinKeys(ls: Dimensions[P], rs: Dimensions[P])(implicit D: Equal[D]): JoinKeys[I]

Returns the JoinKeys describing the autojoin of the two dimension stacks.

def clone(): AnyRef

val empty: Dimensions[P]

The empty dimension stack.

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def flatten(id: I, ds: Dimensions[P]): Dimensions[P]

Updates the dimensional stack by sequencing a new dimension from value space with the current head dimension.

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def join(ls: Dimensions[P], rs: Dimensions[P]): Dimensions[P]

Joins two dimensions into a single dimension stack, starting from the base.

def lshift(id: I, ds: Dimensions[P]): Dimensions[P]

Shifts the dimensional stack by pushing a new dimension from value space onto the stack.

final def ne(arg0: AnyRef): Boolean

def nest(ds: Dimensions[P]): Dimensions[P]

Sequences the first and second dimensions.

final def notify(): Unit

final def notifyAll(): Unit

def project(field: D, ds: Dimensions[P]): Dimensions[P]

Project a static key/index from maps and arrays.

def reduce(ds: Dimensions[P]): Dimensions[P]

Reduces the dimensional stack by peeling off the current dimension.

def squash(ds: Dimensions[P]): Dimensions[P]

Collapses all dimensions into a single one.

def swap(idxN: slamdata.Predef.Int, idxM: slamdata.Predef.Int, ds: Dimensions[P]): Dimensions[P]

Swaps the dimensions at the nth and mth indices.

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

def toString(): String

def union(ls: Dimensions[P], rs: Dimensions[P]): Dimensions[P]

Unions the two dimensions into a single dimensional stack, starting from the base.

final def wait(): Unit

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

final def wait(arg0: Long): Unit