/* __ *\ ** ________ ___ / / ___ Scala API ** ** / __/ __// _ | / / / _ | (c) 2002-2013, LAMP/EPFL ** ** __\ \/ /__/ __ |/ /__/ __ | http://scala-lang.org/ ** ** /____/\___/_/ |_/____/_/ | | ** ** |/ ** \* */ package scala import scala.collection.generic._ import scala.collection.{ mutable, immutable } import mutable.{ ArrayBuilder, ArraySeq } import scala.reflect.ClassTag import scala.runtime.ScalaRunTime.{ array_apply, array_update } /** Contains a fallback builder for arrays when the element type * does not have a class tag. In that case a generic array is built. */ class FallbackArrayBuilding { /** A builder factory that generates a generic array. * Called instead of `Array.newBuilder` if the element type of an array * does not have a class tag. Note that fallbackBuilder factory * needs an implicit parameter (otherwise it would not be dominated in * implicit search by `Array.canBuildFrom`). We make sure that * implicit search is always successful. */ implicit def fallbackCanBuildFrom[T](implicit m: DummyImplicit): CanBuildFrom[Array[_], T, ArraySeq[T]] = new CanBuildFrom[Array[_], T, ArraySeq[T]] { def apply(from: Array[_]) = ArraySeq.newBuilder[T] def apply() = ArraySeq.newBuilder[T] } } /** Utility methods for operating on arrays. * For example: * {{{ * val a = Array(1, 2) * val b = Array.ofDim[Int](2) * val c = Array.concat(a, b) * }}} * where the array objects `a`, `b` and `c` have respectively the values * `Array(1, 2)`, `Array(0, 0)` and `Array(1, 2, 0, 0)`. * * @author Martin Odersky * @version 1.0 */ object Array extends FallbackArrayBuilding { val emptyBooleanArray = new Array[Boolean](0) val emptyByteArray = new Array[Byte](0) val emptyCharArray = new Array[Char](0) val emptyDoubleArray = new Array[Double](0) val emptyFloatArray = new Array[Float](0) val emptyIntArray = new Array[Int](0) val emptyLongArray = new Array[Long](0) val emptyShortArray = new Array[Short](0) val emptyObjectArray = new Array[Object](0) implicit def canBuildFrom[T](implicit t: ClassTag[T]): CanBuildFrom[Array[_], T, Array[T]] = new CanBuildFrom[Array[_], T, Array[T]] { def apply(from: Array[_]) = ArrayBuilder.make[T]()(t) def apply() = ArrayBuilder.make[T]()(t) } /** * Returns a new [[scala.collection.mutable.ArrayBuilder]]. */ def newBuilder[T](implicit t: ClassTag[T]): ArrayBuilder[T] = ArrayBuilder.make[T]()(t) private def slowcopy(src : AnyRef, srcPos : Int, dest : AnyRef, destPos : Int, length : Int) { var i = srcPos var j = destPos val srcUntil = srcPos + length while (i < srcUntil) { array_update(dest, j, array_apply(src, i)) i += 1 j += 1 } } /** Copy one array to another. * Equivalent to Java's * `System.arraycopy(src, srcPos, dest, destPos, length)`, * except that this also works for polymorphic and boxed arrays. * * Note that the passed-in `dest` array will be modified by this call. * * @param src the source array. * @param srcPos starting position in the source array. * @param dest destination array. * @param destPos starting position in the destination array. * @param length the number of array elements to be copied. * * @see `java.lang.System#arraycopy` */ def copy(src: AnyRef, srcPos: Int, dest: AnyRef, destPos: Int, length: Int) { val srcClass = src.getClass if (srcClass.isArray && dest.getClass.isAssignableFrom(srcClass)) java.lang.System.arraycopy(src, srcPos, dest, destPos, length) else slowcopy(src, srcPos, dest, destPos, length) } /** Returns an array of length 0 */ def empty[T: ClassTag]: Array[T] = new Array[T](0) /** Creates an array with given elements. * * @param xs the elements to put in the array * @return an array containing all elements from xs. */ // Subject to a compiler optimization in Cleanup. // Array(e0, ..., en) is translated to { val a = new Array(3); a(i) = ei; a } def apply[T: ClassTag](xs: T*): Array[T] = { val array = new Array[T](xs.length) var i = 0 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Boolean` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Boolean, xs: Boolean*): Array[Boolean] = { val array = new Array[Boolean](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Byte` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Byte, xs: Byte*): Array[Byte] = { val array = new Array[Byte](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Short` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Short, xs: Short*): Array[Short] = { val array = new Array[Short](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Char` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Char, xs: Char*): Array[Char] = { val array = new Array[Char](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Int` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Int, xs: Int*): Array[Int] = { val array = new Array[Int](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Long` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Long, xs: Long*): Array[Long] = { val array = new Array[Long](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Float` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Float, xs: Float*): Array[Float] = { val array = new Array[Float](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Double` objects */ // Subject to a compiler optimization in Cleanup, see above. def apply(x: Double, xs: Double*): Array[Double] = { val array = new Array[Double](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates an array of `Unit` objects */ def apply(x: Unit, xs: Unit*): Array[Unit] = { val array = new Array[Unit](xs.length + 1) array(0) = x var i = 1 for (x <- xs.iterator) { array(i) = x; i += 1 } array } /** Creates array with given dimensions */ def ofDim[T: ClassTag](n1: Int): Array[T] = new Array[T](n1) /** Creates a 2-dimensional array */ def ofDim[T: ClassTag](n1: Int, n2: Int): Array[Array[T]] = { val arr: Array[Array[T]] = (new Array[Array[T]](n1): Array[Array[T]]) for (i <- 0 until n1) arr(i) = new Array[T](n2) arr // tabulate(n1)(_ => ofDim[T](n2)) } /** Creates a 3-dimensional array */ def ofDim[T: ClassTag](n1: Int, n2: Int, n3: Int): Array[Array[Array[T]]] = tabulate(n1)(_ => ofDim[T](n2, n3)) /** Creates a 4-dimensional array */ def ofDim[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int): Array[Array[Array[Array[T]]]] = tabulate(n1)(_ => ofDim[T](n2, n3, n4)) /** Creates a 5-dimensional array */ def ofDim[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int): Array[Array[Array[Array[Array[T]]]]] = tabulate(n1)(_ => ofDim[T](n2, n3, n4, n5)) /** Concatenates all arrays into a single array. * * @param xss the given arrays * @return the array created from concatenating `xss` */ def concat[T: ClassTag](xss: Array[T]*): Array[T] = { val b = newBuilder[T] b.sizeHint(xss.map(_.length).sum) for (xs <- xss) b ++= xs b.result() } /** Returns an array that contains the results of some element computation a number * of times. * * Note that this means that `elem` is computed a total of n times: * {{{ * scala> Array.fill(3){ math.random } * res3: Array[Double] = Array(0.365461167592537, 1.550395944913685E-4, 0.7907242137333306) * }}} * * @param n the number of elements desired * @param elem the element computation * @return an Array of size n, where each element contains the result of computing * `elem`. */ def fill[T: ClassTag](n: Int)(elem: => T): Array[T] = { val b = newBuilder[T] b.sizeHint(n) var i = 0 while (i < n) { b += elem i += 1 } b.result() } /** Returns a two-dimensional array that contains the results of some element * computation a number of times. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param elem the element computation */ def fill[T: ClassTag](n1: Int, n2: Int)(elem: => T): Array[Array[T]] = tabulate(n1)(_ => fill(n2)(elem)) /** Returns a three-dimensional array that contains the results of some element * computation a number of times. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3nd dimension * @param elem the element computation */ def fill[T: ClassTag](n1: Int, n2: Int, n3: Int)(elem: => T): Array[Array[Array[T]]] = tabulate(n1)(_ => fill(n2, n3)(elem)) /** Returns a four-dimensional array that contains the results of some element * computation a number of times. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3nd dimension * @param n4 the number of elements in the 4th dimension * @param elem the element computation */ def fill[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int)(elem: => T): Array[Array[Array[Array[T]]]] = tabulate(n1)(_ => fill(n2, n3, n4)(elem)) /** Returns a five-dimensional array that contains the results of some element * computation a number of times. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3nd dimension * @param n4 the number of elements in the 4th dimension * @param n5 the number of elements in the 5th dimension * @param elem the element computation */ def fill[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(elem: => T): Array[Array[Array[Array[Array[T]]]]] = tabulate(n1)(_ => fill(n2, n3, n4, n5)(elem)) /** Returns an array containing values of a given function over a range of integer * values starting from 0. * * @param n The number of elements in the array * @param f The function computing element values * @return A traversable consisting of elements `f(0),f(1), ..., f(n - 1)` */ def tabulate[T: ClassTag](n: Int)(f: Int => T): Array[T] = { val b = newBuilder[T] b.sizeHint(n) var i = 0 while (i < n) { b += f(i) i += 1 } b.result() } /** Returns a two-dimensional array containing values of a given function * over ranges of integer values starting from `0`. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param f The function computing element values */ def tabulate[T: ClassTag](n1: Int, n2: Int)(f: (Int, Int) => T): Array[Array[T]] = tabulate(n1)(i1 => tabulate(n2)(f(i1, _))) /** Returns a three-dimensional array containing values of a given function * over ranges of integer values starting from `0`. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3rd dimension * @param f The function computing element values */ def tabulate[T: ClassTag](n1: Int, n2: Int, n3: Int)(f: (Int, Int, Int) => T): Array[Array[Array[T]]] = tabulate(n1)(i1 => tabulate(n2, n3)(f(i1, _, _))) /** Returns a four-dimensional array containing values of a given function * over ranges of integer values starting from `0`. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3rd dimension * @param n4 the number of elements in the 4th dimension * @param f The function computing element values */ def tabulate[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int)(f: (Int, Int, Int, Int) => T): Array[Array[Array[Array[T]]]] = tabulate(n1)(i1 => tabulate(n2, n3, n4)(f(i1, _, _, _))) /** Returns a five-dimensional array containing values of a given function * over ranges of integer values starting from `0`. * * @param n1 the number of elements in the 1st dimension * @param n2 the number of elements in the 2nd dimension * @param n3 the number of elements in the 3rd dimension * @param n4 the number of elements in the 4th dimension * @param n5 the number of elements in the 5th dimension * @param f The function computing element values */ def tabulate[T: ClassTag](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(f: (Int, Int, Int, Int, Int) => T): Array[Array[Array[Array[Array[T]]]]] = tabulate(n1)(i1 => tabulate(n2, n3, n4, n5)(f(i1, _, _, _, _))) /** Returns an array containing a sequence of increasing integers in a range. * * @param start the start value of the array * @param end the end value of the array, exclusive (in other words, this is the first value '''not''' returned) * @return the array with values in range `start, start + 1, ..., end - 1` * up to, but excluding, `end`. */ def range(start: Int, end: Int): Array[Int] = range(start, end, 1) /** Returns an array containing equally spaced values in some integer interval. * * @param start the start value of the array * @param end the end value of the array, exclusive (in other words, this is the first value '''not''' returned) * @param step the increment value of the array (may not be zero) * @return the array with values in `start, start + step, ...` up to, but excluding `end` */ def range(start: Int, end: Int, step: Int): Array[Int] = { if (step == 0) throw new IllegalArgumentException("zero step") val b = newBuilder[Int] b.sizeHint(immutable.Range.count(start, end, step, isInclusive = false)) var i = start while (if (step < 0) end < i else i < end) { b += i i += step } b.result() } /** Returns an array containing repeated applications of a function to a start value. * * @param start the start value of the array * @param len the number of elements returned by the array * @param f the function that is repeatedly applied * @return the array returning `len` values in the sequence `start, f(start), f(f(start)), ...` */ def iterate[T: ClassTag](start: T, len: Int)(f: T => T): Array[T] = { val b = newBuilder[T] if (len > 0) { b.sizeHint(len) var acc = start var i = 1 b += acc while (i < len) { acc = f(acc) i += 1 b += acc } } b.result() } /** Called in a pattern match like `{ case Array(x,y,z) => println('3 elements')}`. * * @param x the selector value * @return sequence wrapped in a [[scala.Some]], if `x` is a Seq, otherwise `None` */ def unapplySeq[T](x: Array[T]): Option[IndexedSeq[T]] = if (x == null) None else Some(x.toIndexedSeq) // !!! the null check should to be necessary, but without it 2241 fails. Seems to be a bug // in pattern matcher. @PP: I noted in #4364 I think the behavior is correct. } /** Arrays are mutable, indexed collections of values. `Array[T]` is Scala's representation * for Java's `T[]`. * * {{{ * val numbers = Array(1, 2, 3, 4) * val first = numbers(0) // read the first element * numbers(3) = 100 // replace the 4th array element with 100 * val biggerNumbers = numbers.map(_ * 2) // multiply all numbers by two * }}} * * Arrays make use of two common pieces of Scala syntactic sugar, shown on lines 2 and 3 of the above * example code. * Line 2 is translated into a call to `apply(Int)`, while line 3 is translated into a call to * `update(Int, T)`. * * Two implicit conversions exist in [[scala.Predef]] that are frequently applied to arrays: a conversion * to [[scala.collection.mutable.ArrayOps]] (shown on line 4 of the example above) and a conversion * to [[scala.collection.mutable.WrappedArray]] (a subtype of [[scala.collection.Seq]]). * Both types make available many of the standard operations found in the Scala collections API. * The conversion to `ArrayOps` is temporary, as all operations defined on `ArrayOps` return an `Array`, * while the conversion to `WrappedArray` is permanent as all operations return a `WrappedArray`. * * The conversion to `ArrayOps` takes priority over the conversion to `WrappedArray`. For instance, * consider the following code: * * {{{ * val arr = Array(1, 2, 3) * val arrReversed = arr.reverse * val seqReversed : Seq[Int] = arr.reverse * }}} * * Value `arrReversed` will be of type `Array[Int]`, with an implicit conversion to `ArrayOps` occurring * to perform the `reverse` operation. The value of `seqReversed`, on the other hand, will be computed * by converting to `WrappedArray` first and invoking the variant of `reverse` that returns another * `WrappedArray`. * * @author Martin Odersky * @version 1.0 * @see [[http://www.scala-lang.org/files/archive/spec/2.11/ Scala Language Specification]], for in-depth information on the transformations the Scala compiler makes on Arrays (Sections 6.6 and 6.15 respectively.) * @see [[http://docs.scala-lang.org/sips/completed/scala-2-8-arrays.html "Scala 2.8 Arrays"]] the Scala Improvement Document detailing arrays since Scala 2.8. * @see [[http://docs.scala-lang.org/overviews/collections/arrays.html "The Scala 2.8 Collections' API"]] section on `Array` by Martin Odersky for more information. * @hideImplicitConversion scala.Predef.booleanArrayOps * @hideImplicitConversion scala.Predef.byteArrayOps * @hideImplicitConversion scala.Predef.charArrayOps * @hideImplicitConversion scala.Predef.doubleArrayOps * @hideImplicitConversion scala.Predef.floatArrayOps * @hideImplicitConversion scala.Predef.intArrayOps * @hideImplicitConversion scala.Predef.longArrayOps * @hideImplicitConversion scala.Predef.refArrayOps * @hideImplicitConversion scala.Predef.shortArrayOps * @hideImplicitConversion scala.Predef.unitArrayOps * @hideImplicitConversion scala.LowPriorityImplicits.wrapRefArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapIntArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapDoubleArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapLongArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapFloatArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapCharArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapByteArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapShortArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapBooleanArray * @hideImplicitConversion scala.LowPriorityImplicits.wrapUnitArray * @hideImplicitConversion scala.LowPriorityImplicits.genericWrapArray * @define coll array * @define Coll `Array` * @define orderDependent * @define orderDependentFold * @define mayNotTerminateInf * @define willNotTerminateInf * @define collectExample * @define undefinedorder * @define thatinfo the class of the returned collection. In the standard library configuration, * `That` is either `Array[B]` if an ClassTag is available for B or `ArraySeq[B]` otherwise. * @define zipthatinfo $thatinfo * @define bfinfo an implicit value of class `CanBuildFrom` which determines the result class `That` from the current * representation type `Repr` and the new element type `B`. */ final class Array[T](_length: Int) extends java.io.Serializable with java.lang.Cloneable { /** The length of the array */ def length: Int = throw new Error() /** The element at given index. * * Indices start at `0`; `xs.apply(0)` is the first element of array `xs`. * Note the indexing syntax `xs(i)` is a shorthand for `xs.apply(i)`. * * @param i the index * @return the element at the given index * @throws ArrayIndexOutOfBoundsException if `i < 0` or `length <= i` */ def apply(i: Int): T = throw new Error() /** Update the element at given index. * * Indices start at `0`; `xs.update(i, x)` replaces the i^th^ element in the array. * Note the syntax `xs(i) = x` is a shorthand for `xs.update(i, x)`. * * @param i the index * @param x the value to be written at index `i` * @throws ArrayIndexOutOfBoundsException if `i < 0` or `length <= i` */ def update(i: Int, x: T) { throw new Error() } /** Clone the Array. * * @return A clone of the Array. */ override def clone(): Array[T] = throw new Error() }