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Scala 3/scala/scala.jdk/Accumulator

Accumulator

scala.jdk.Accumulator$
See theAccumulator companion class
object Accumulator

Contains factory methods to build Accumulators.

Note that the Accumulator object itself is not a factory, but it is implicitly convert to a factory according to the element type, see Accumulator.toFactory.

This allows passing the Accumulator object as argument when a collection.Factory, and the implicit Accumulator.AccumulatorFactoryShape instance is used to build a specialized Accumulator according to the element type:

scala> val intAcc = Accumulator(1,2,3)
intAcc: scala.collection.convert.IntAccumulator = IntAccumulator(1, 2, 3)

scala> val anyAccc = Accumulator("K")
anyAccc: scala.collection.convert.AnyAccumulator[String] = AnyAccumulator(K)

scala> val intAcc2 = List(1,2,3).to(Accumulator)
intAcc2: scala.jdk.IntAccumulator = IntAccumulator(1, 2, 3)

scala> val anyAcc2 = List("K").to(Accumulator)
anyAcc2: scala.jdk.AnyAccumulator[String] = AnyAccumulator(K)

Attributes

Companion
class
Source
Accumulator.scala
Graph
Supertypes
class Object
trait Matchable
class Any
Self type

Members list

Type members

Classlikes

object AccumulatorFactoryShape extends LowPriorityAccumulatorFactoryShape

Attributes

Companion
trait
Source
Accumulator.scala
Supertypes
class Object
trait Matchable
class Any
Self type
sealed trait AccumulatorFactoryShape[A, C]

An implicit AccumulatorFactoryShape is used in Accumulator factory method to return specialized variants according to the element type.

An implicit AccumulatorFactoryShape is used in Accumulator factory method to return specialized variants according to the element type.

Attributes

Companion
object
Source
Accumulator.scala
Supertypes
class Object
trait Matchable
class Any
sealed trait LowPriorityAccumulatorFactoryShape

Attributes

Source
Accumulator.scala
Supertypes
class Object
trait Matchable
class Any
Known subtypes

Value members

Concrete methods

def apply[A, C](elems: A*)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Creates an Accumulator with the specified elements.

Creates an Accumulator with the specified elements.

Type parameters

A

the type of the Accumulator's elements

C

the (inferred) specific type of the Accumulator

Value parameters

elems

the elements of the created Accumulator

Attributes

Returns

a new Accumulator with elements elems

Source
Accumulator.scala
def concat[A, C](xss: Iterable[A]*)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Concatenates all argument collections into a single Accumulator.

Concatenates all argument collections into a single Accumulator.

Value parameters

xss

the collections that are to be concatenated.

Attributes

Returns

the concatenation of all the collections.

Source
Accumulator.scala
def empty[A, C](implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

An empty collection

An empty collection

Type parameters

A

the type of the Accumulator's elements

Attributes

Source
Accumulator.scala
def fill[A, C](n: Int)(elem: => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator containing the results of some element computation a number of times.

Produces an Accumulator containing the results of some element computation a number of times.

Value parameters

elem

the element computation

n

the number of elements contained in the Accumulator.

Attributes

Returns

An Accumulator that contains the results of n evaluations of elem.

Source
Accumulator.scala
def fill[A, C](n1: Int, n2: Int)(elem: => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[C]

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

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

Value parameters

elem

the element computation

n1

the number of elements in the 1st dimension

n2

the number of elements in the 2nd dimension

Attributes

Returns

An Accumulator that contains the results of n1 x n2 evaluations of elem.

Source
Accumulator.scala
def fill[A, C](n1: Int, n2: Int, n3: Int)(elem: => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[C]]

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

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

Value parameters

elem

the element computation

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 3rd dimension

Attributes

Returns

An Accumulator that contains the results of n1 x n2 x n3 evaluations of elem.

Source
Accumulator.scala
def fill[A, C](n1: Int, n2: Int, n3: Int, n4: Int)(elem: => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[AnyAccumulator[C]]]

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

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

Value parameters

elem

the element computation

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 3rd dimension

n4

the number of elements in the 4th dimension

Attributes

Returns

An Accumulator that contains the results of n1 x n2 x n3 x n4 evaluations of elem.

Source
Accumulator.scala
def fill[A, C](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(elem: => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[AnyAccumulator[AnyAccumulator[C]]]]

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

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

Value parameters

elem

the element computation

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 3rd dimension

n4

the number of elements in the 4th dimension

n5

the number of elements in the 5th dimension

Attributes

Returns

An Accumulator that contains the results of n1 x n2 x n3 x n4 x n5 evaluations of elem.

Source
Accumulator.scala
def from[A, C](source: IterableOnce[A])(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Creates a target Accumulator from an existing source collection

Creates a target Accumulator from an existing source collection

Type parameters

A

the type of the Accumulator’s elements

C

the (inferred) specific type of the Accumulator

Value parameters

source

Source collection

Attributes

Returns

a new Accumulator with the elements of source

Source
Accumulator.scala
def iterate[A, C](start: A, len: Int)(f: A => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator containing repeated applications of a function to a start value.

Produces an Accumulator containing repeated applications of a function to a start value.

Value parameters

f

the function that's repeatedly applied

len

the number of elements contained in the Accumulator

start

the start value of the Accumulator

Attributes

Returns

an Accumulator with len values in the sequence start, f(start), f(f(start)), ...

Source
Accumulator.scala
def newBuilder[A, C](implicit canAccumulate: AccumulatorFactoryShape[A, C]): Builder[A, C]

Type parameters

A

the type of the Accumulator’s elements

C

the specific type of the Accumulator

Attributes

Returns

A builder for Accumulator objects.

Source
Accumulator.scala
def range[A : Integral, C](start: A, end: A)(implicit evidence$1: Integral[A], canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator containing a sequence of increasing of integers.

Produces an Accumulator containing a sequence of increasing of integers.

Value parameters

end

the end value of the Accumulator (the first value NOT contained)

start

the first element of the Accumulator

Attributes

Returns

an Accumulator with values start, start + 1, ..., end - 1

Source
Accumulator.scala
def range[A : Integral, C](start: A, end: A, step: A)(implicit evidence$2: Integral[A], canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator containing equally spaced values in some integer interval.

Produces an Accumulator containing equally spaced values in some integer interval.

Value parameters

end

the end value of the Accumulator (the first value NOT contained)

start

the start value of the Accumulator

step

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

Attributes

Returns

an Accumulator with values start, start + step, ... up to, but excluding end

Source
Accumulator.scala
def tabulate[A, C](n: Int)(f: Int => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator containing values of a given function over a range of integer values starting from 0.

Produces an Accumulator containing values of a given function over a range of integer values starting from 0.

Value parameters

f

The function computing element values

n

The number of elements in the Accumulator

Attributes

Returns

An Accumulator consisting of elements f(0), ..., f(n -1)

Source
Accumulator.scala
def tabulate[A, C](n1: Int, n2: Int)(f: (Int, Int) => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[C]

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

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

Value parameters

f

The function computing element values

n1

the number of elements in the 1st dimension

n2

the number of elements in the 2nd dimension

Attributes

Returns

An Accumulator consisting of elements f(i1, i2) for 0 <= i1 < n1 and 0 <= i2 < n2.

Source
Accumulator.scala
def tabulate[A, C](n1: Int, n2: Int, n3: Int)(f: (Int, Int, Int) => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[C]]

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

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

Value parameters

f

The function computing element values

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 3rd dimension

Attributes

Returns

An Accumulator consisting of elements f(i1, i2, i3) for 0 <= i1 < n1, 0 <= i2 < n2, and 0 <= i3 < n3.

Source
Accumulator.scala
def tabulate[A, C](n1: Int, n2: Int, n3: Int, n4: Int)(f: (Int, Int, Int, Int) => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[AnyAccumulator[C]]]

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

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

Value parameters

f

The function computing element values

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 3rd dimension

n4

the number of elements in the 4th dimension

Attributes

Returns

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

Source
Accumulator.scala
def tabulate[A, C](n1: Int, n2: Int, n3: Int, n4: Int, n5: Int)(f: (Int, Int, Int, Int, Int) => A)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): AnyAccumulator[AnyAccumulator[AnyAccumulator[AnyAccumulator[C]]]]

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

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

Value parameters

f

The function computing element values

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 3rd dimension

n4

the number of elements in the 4th dimension

n5

the number of elements in the 5th dimension

Attributes

Returns

An Accumulator 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.

Source
Accumulator.scala
def unfold[A, S, C](init: S)(f: S => Option[(A, S)])(implicit canAccumulate: AccumulatorFactoryShape[A, C]): C

Produces an Accumulator that uses a function f to produce elements of type A and update an internal state of type S.

Produces an Accumulator that uses a function f to produce elements of type A and update an internal state of type S.

Type parameters

A

Type of the elements

C

Type (usually inferred) of the Accumulator

S

Type of the internal state

Value parameters

f

Computes the next element (or returns None to signal the end of the collection)

init

State initial value

Attributes

Returns

an Accumulator that produces elements using f until f returns None

Source
Accumulator.scala

Implicits

Implicits

implicit def toFactory[A, C](sa: Accumulator.type)(implicit canAccumulate: AccumulatorFactoryShape[A, C]): Factory[A, C]

Attributes

Source
Accumulator.scala
Generated with
Copyright (c) 2002-2023, LAMP/EPFL
Copyright (c) 2002-2023, LAMP/EPFL