Packages

object ParArray extends ParFactory[ParArray] with java.io.Serializable

This object provides a set of operations needed to create mutable.ParArray values.

Linear Supertypes
java.io.Serializable, ParFactory[ParArray], GenericParCompanion[ParArray], AnyRef, Any
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Inherited
  1. ParArray
  2. Serializable
  3. ParFactory
  4. GenericParCompanion
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

Type Members

  1. class GenericCanCombineFrom[From, To] extends CanCombineFrom[CC[From], To, CC[To]]

    A generic implementation of the CanCombineFrom trait, which forwards all calls to apply(from) to the genericParBuilder method of the parallel collection from, and calls to apply() to this factory.

    A generic implementation of the CanCombineFrom trait, which forwards all calls to apply(from) to the genericParBuilder method of the parallel collection from, and calls to apply() to this factory.

    Definition Classes
    ParFactory

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply[A](elems: A*): ParArray[A]

    Creates a parallel array with the specified elements.

    Creates a parallel array with the specified elements.

    A

    the type of the parallel array's elements

    elems

    the elements of the created parallel array

    returns

    a new parallel array with elements elems

    Definition Classes
    GenericParCompanion
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. implicit def canBuildFrom[S, T]: CanCombineFrom[ParArray[S], T, ParArray[T]]
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  8. def concat[A](xss: Iterable[A]*): ParArray[A]

    Concatenates all argument collections into a single parallel array.

    Concatenates all argument collections into a single parallel array.

    xss

    the collections that are to be concatenated.

    returns

    the concatenation of all the collections.

    Definition Classes
    ParFactory
  9. def createFromCopy[T <: AnyRef](arr: Array[T])(implicit arg0: ClassTag[T]): ParArray[T]
  10. def empty[A]: ParArray[A]

    An empty collection of type mutable.ParArray[A]

    An empty collection of type mutable.ParArray[A]

    A

    the type of the parallel array's elements

    Definition Classes
    GenericParCompanion
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  13. def fill[A](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(elem: => A): ParArray[ParArray[ParArray[ParArray[ParArray[A]]]]]

    Produces a five-dimensional parallel array containing the results of some element computation a number of times.

    Produces a five-dimensional parallel array containing the results of some element computation a number of times.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    n4

    the number of elements in the 4th dimension

    n5

    the number of elements in the 5th dimension

    elem

    the element computation

    returns

    A parallel array that contains the results of n1 x n2 x n3 x n4 x n5 evaluations of elem.

    Definition Classes
    ParFactory
  14. def fill[A](n1: Int, n2: Int, n3: Int, n4: Int)(elem: => A): ParArray[ParArray[ParArray[ParArray[A]]]]

    Produces a four-dimensional parallel array containing the results of some element computation a number of times.

    Produces a four-dimensional parallel array containing the results of some element computation a number of times.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    n4

    the number of elements in the 4th dimension

    elem

    the element computation

    returns

    A parallel array that contains the results of n1 x n2 x n3 x n4 evaluations of elem.

    Definition Classes
    ParFactory
  15. def fill[A](n1: Int, n2: Int, n3: Int)(elem: => A): ParArray[ParArray[ParArray[A]]]

    Produces a three-dimensional parallel array containing the results of some element computation a number of times.

    Produces a three-dimensional parallel array containing the results of some element computation a number of times.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    elem

    the element computation

    returns

    A parallel array that contains the results of n1 x n2 x n3 evaluations of elem.

    Definition Classes
    ParFactory
  16. def fill[A](n1: Int, n2: Int)(elem: => A): ParArray[ParArray[A]]

    Produces a two-dimensional parallel array containing the results of some element computation a number of times.

    Produces a two-dimensional parallel array containing the results of some element computation a number of times.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    elem

    the element computation

    returns

    A parallel array that contains the results of n1 x n2 evaluations of elem.

    Definition Classes
    ParFactory
  17. def fill[A](n: Int)(elem: => A): ParArray[A]

    Produces a parallel array containing the results of some element computation a number of times.

    Produces a parallel array containing the results of some element computation a number of times.

    n

    the number of elements contained in the parallel array.

    elem

    the element computation

    returns

    A parallel array that contains the results of n evaluations of elem.

    Definition Classes
    ParFactory
  18. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  19. def fromIterables[T](xss: scala.IterableOnce[T]*): ParArray[T]
  20. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. def handoff[T](arr: Array[T], sz: Int): ParArray[T]

    Creates a new parallel array by wrapping a part of the specified array.

  22. def handoff[T](arr: Array[T]): ParArray[T]

    Creates a new parallel array by wrapping the specified array.

  23. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. def iterate[A](start: A, len: Int)(f: (A) => A): ParArray[A]

    Produces a parallel array containing repeated applications of a function to a start value.

    Produces a parallel array containing repeated applications of a function to a start value.

    start

    the start value of the parallel array

    len

    the number of elements contained in the parallel array

    f

    the function that's repeatedly applied

    returns

    a parallel array with len values in the sequence start, f(start), f(f(start)), ...

    Definition Classes
    ParFactory
  26. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. def newBuilder[T]: Combiner[T, ParArray[T]]

    The default builder for mutable.ParArray objects.

    The default builder for mutable.ParArray objects.

    Definition Classes
    ParArray → GenericParCompanion
  28. def newCombiner[T]: Combiner[T, ParArray[T]]

    The parallel builder for mutable.ParArray objects.

    The parallel builder for mutable.ParArray objects.

    Definition Classes
    ParArray → GenericParCompanion
  29. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  31. def range[T](start: T, end: T, step: T)(implicit arg0: Integral[T]): ParArray[T]

    Produces a parallel array containing equally spaced values in some integer interval.

    Produces a parallel array containing equally spaced values in some integer interval.

    start

    the start value of the parallel array

    end

    the end value of the parallel array (the first value NOT contained)

    step

    the difference between successive elements of the parallel array (must be positive or negative)

    returns

    a parallel array with values start, start + step, ... up to, but excluding end

    Definition Classes
    ParFactory
  32. def range[T](start: T, end: T)(implicit arg0: Integral[T]): ParArray[T]

    Produces a parallel array containing a sequence of increasing of integers.

    Produces a parallel array containing a sequence of increasing of integers.

    start

    the first element of the parallel array

    end

    the end value of the parallel array (the first value NOT contained)

    returns

    a parallel array with values start, start + 1, ..., end - 1

    Definition Classes
    ParFactory
  33. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  34. def tabulate[A](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(f: (Int, Int, Int, Int, Int) => A): ParArray[ParArray[ParArray[ParArray[ParArray[A]]]]]

    Produces a five-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    Produces a five-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    n4

    the number of elements in the 4th dimension

    n5

    the number of elements in the 5th dimension

    f

    The function computing element values

    returns

    A parallel array consisting of elements f(i1, i2, i3, i4, i5) for 0 <= i1 < n1, 0 <= i2 < n2, 0 <= i3 < n3, 0 <= i4 < n4, and 0 <= i5 < n5.

    Definition Classes
    ParFactory
  35. def tabulate[A](n1: Int, n2: Int, n3: Int, n4: Int)(f: (Int, Int, Int, Int) => A): ParArray[ParArray[ParArray[ParArray[A]]]]

    Produces a four-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    Produces a four-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    n4

    the number of elements in the 4th dimension

    f

    The function computing element values

    returns

    A parallel array consisting of elements f(i1, i2, i3, i4) for 0 <= i1 < n1, 0 <= i2 < n2, 0 <= i3 < n3, and 0 <= i4 < n4.

    Definition Classes
    ParFactory
  36. def tabulate[A](n1: Int, n2: Int, n3: Int)(f: (Int, Int, Int) => A): ParArray[ParArray[ParArray[A]]]

    Produces a three-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    Produces a three-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    n3

    the number of elements in the 3nd dimension

    f

    The function computing element values

    returns

    A parallel array consisting of elements f(i1, i2, i3) for 0 <= i1 < n1, 0 <= i2 < n2, and 0 <= i3 < n3.

    Definition Classes
    ParFactory
  37. def tabulate[A](n1: Int, n2: Int)(f: (Int, Int) => A): ParArray[ParArray[A]]

    Produces a two-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    Produces a two-dimensional parallel array containing values of a given function over ranges of integer values starting from 0.

    n1

    the number of elements in the 1st dimension

    n2

    the number of elements in the 2nd dimension

    f

    The function computing element values

    returns

    A parallel array consisting of elements f(i1, i2) for 0 <= i1 < n1 and 0 <= i2 < n2.

    Definition Classes
    ParFactory
  38. def tabulate[A](n: Int)(f: (Int) => A): ParArray[A]

    Produces a parallel array containing values of a given function over a range of integer values starting from 0.

    Produces a parallel array containing values of a given function over a range of integer values starting from 0.

    n

    The number of elements in the parallel array

    f

    The function computing element values

    returns

    A parallel array consisting of elements f(0), ..., f(n -1)

    Definition Classes
    ParFactory
  39. implicit def toFactory[A]: Factory[A, ParArray[A]]
    Definition Classes
    GenericParCompanion
  40. def toString(): String
    Definition Classes
    AnyRef → Any
  41. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  42. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  43. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Deprecated Value Members

  1. final def fromTraversables[T](xss: scala.IterableOnce[T]*): ParArray[T]
    Annotations
    @deprecated @inline()
    Deprecated

    (Since version 0.1.3) fromTraversables has been renamed to fromIterables

Inherited from java.io.Serializable

Inherited from ParFactory[ParArray]

Inherited from GenericParCompanion[ParArray]

Inherited from AnyRef

Inherited from Any

Ungrouped