Module jdk.incubator.vector
Package jdk.incubator.vector

Class DoubleVector

java.lang.Object
jdk.incubator.vector.Vector<Double>
jdk.incubator.vector.DoubleVector
public abstract class DoubleVector extends Vector<Double>
DoubleVector relies on preview features of the Java platform:
  • DoubleVector refers to one or more preview APIs: MemorySegment.
Programs can only use DoubleVector when preview features are enabled.
Preview features may be removed in a future release, or upgraded to permanent features of the Java platform.
A specialized Vector representing an ordered immutable sequence of double values.

  • Field Details

  • Method Details

    • zero

      public static DoubleVector zero(VectorSpecies<Double> species)
      Returns a vector of the given species where all lane elements are set to zero, the default primitive value.
      Parameters:
      species - species of the desired zero vector
      Returns:
      a zero vector

    • broadcast

      public abstract DoubleVector broadcast(double e)
      Returns a vector of the same species as this one where all lane elements are set to the primitive value e. The contents of the current vector are discarded; only the species is relevant to this operation.

      This method returns the value of this expression: DoubleVector.broadcast(this.species(), e).

      API Note:
      Unlike the similar method named broadcast() in the supertype Vector, this method does not need to validate its argument, and cannot throw IllegalArgumentException. This method is therefore preferable to the supertype method.
      Parameters:
      e - the value to broadcast
      Returns:
      a vector where all lane elements are set to the primitive value e
      See Also:

    • broadcast

      public static DoubleVector broadcast(VectorSpecies<Double> species, double e)
      Returns a vector of the given species where all lane elements are set to the primitive value e.
      Parameters:
      species - species of the desired vector
      e - the value to broadcast
      Returns:
      a vector where all lane elements are set to the primitive value e
      See Also:

    • broadcast

      public abstract DoubleVector broadcast(long e)
      Returns a vector of the same species as this one where all lane elements are set to the primitive value e. The contents of the current vector are discarded; only the species is relevant to this operation.

      This method returns the value of this expression: EVector.broadcast(this.species(), (ETYPE)e), where EVector is the vector class specific to this vector's element type ETYPE.

      The long value e must be accurately representable by the ETYPE of this vector's species, so that e==(long)(ETYPE)e. If this rule is violated the problem is not detected statically, but an IllegalArgumentException is thrown at run-time. Thus, this method somewhat weakens the static type checking of immediate constants and other scalars, but it makes up for this by improving the expressiveness of the generic API. Note that an e value in the range [-128..127] is always acceptable, since every ETYPE will accept every byte value.

      Specified by:
      broadcast in class Vector<Double>
      API Note:
      When working with vector subtypes like DoubleVector, the more strongly typed method is typically selected. It can be explicitly selected using a cast: v.broadcast((double)e). The two expressions will produce numerically identical results.
      Parameters:
      e - the value to broadcast
      Returns:
      a vector where all lane elements are set to the primitive value e
      See Also:

    • broadcast

      public static DoubleVector broadcast(VectorSpecies<Double> species, long e)
      Returns a vector of the given species where all lane elements are set to the primitive value e. The long value must be accurately representable by the ETYPE of the vector species, so that e==(long)(ETYPE)e.
      Parameters:
      species - species of the desired vector
      e - the value to broadcast
      Returns:
      a vector where all lane elements are set to the primitive value e
      Throws:
      IllegalArgumentException - if the given long value cannot be represented by the vector's ETYPE
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Unary op)
      Operates on the lane values of this vector. This is a lane-wise unary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to process lane values
      Returns:
      the result of applying the operation lane-wise to the input vector
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Unary op, VectorMask<Double> m)
      Operates on the lane values of this vector, with selection of lane elements controlled by a mask. This is a lane-wise unary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to process lane values
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vector
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Binary op, Vector<Double> v)
      Combines the corresponding lane values of this vector with those of a second input vector. This is a lane-wise binary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to combine lane values
      v - the input vector
      Returns:
      the result of applying the operation lane-wise to the two input vectors
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Binary op, Vector<Double> v, VectorMask<Double> m)
      Combines the corresponding lane values of this vector with those of a second input vector, with selection of lane elements controlled by a mask. This is a lane-wise binary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to combine lane values
      v - the second input vector
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the two input vectors
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Binary op, double e)
      Combines the lane values of this vector with the value of a broadcast scalar. This is a lane-wise binary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e)).
      Parameters:
      op - the operation used to process lane values
      e - the input scalar
      Returns:
      the result of applying the operation lane-wise to the two input vectors
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Binary op, double e, VectorMask<Double> m)
      Combines the lane values of this vector with the value of a broadcast scalar, with selection of lane elements controlled by a mask. This is a masked lane-wise binary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e), m).
      Parameters:
      op - the operation used to process lane values
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vector and the scalar
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Binary op, long e)
      Combines the lane values of this vector with the value of a broadcast scalar. This is a lane-wise binary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e)).
      Specified by:
      lanewise in class Vector<Double>
      API Note:
      When working with vector subtypes like DoubleVector, the more strongly typed method is typically selected. It can be explicitly selected using a cast: v.lanewise(op,(double)e). The two expressions will produce numerically identical results.
      Parameters:
      op - the operation used to combine lane values
      e - the input scalar
      Returns:
      the result of applying the operation lane-wise to the input vector and the scalar
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Binary op, long e, VectorMask<Double> m)
      Combines the corresponding lane values of this vector with those of a second input vector, with selection of lane elements controlled by a mask. This is a lane-wise binary operation which applies the selected operation to each lane. The second operand is a broadcast integral value. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e), m).
      Specified by:
      lanewise in class Vector<Double>
      API Note:
      When working with vector subtypes like DoubleVector, the more strongly typed method is typically selected. It can be explicitly selected using a cast: v.lanewise(op,(double)e,m). The two expressions will produce numerically identical results.
      Parameters:
      op - the operation used to combine lane values
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vector and the scalar
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Ternary op, Vector<Double> v1, Vector<Double> v2)
      Combines the corresponding lane values of this vector with the lanes of a second and a third input vector. This is a lane-wise ternary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to combine lane values
      v1 - the second input vector
      v2 - the third input vector
      Returns:
      the result of applying the operation lane-wise to the three input vectors
      See Also:

    • lanewise

      public abstract DoubleVector lanewise(VectorOperators.Ternary op, Vector<Double> v1, Vector<Double> v2, VectorMask<Double> m)
      Combines the corresponding lane values of this vector with the lanes of a second and a third input vector, with selection of lane elements controlled by a mask. This is a lane-wise ternary operation which applies the selected operation to each lane.
      Specified by:
      lanewise in class Vector<Double>
      Parameters:
      op - the operation used to combine lane values
      v1 - the second input vector
      v2 - the third input vector
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the three input vectors
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, double e1, double e2)
      Combines the lane values of this vector with the values of two broadcast scalars. This is a lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e1), this.broadcast(e2)).
      Parameters:
      op - the operation used to combine lane values
      e1 - the first input scalar
      e2 - the second input scalar
      Returns:
      the result of applying the operation lane-wise to the input vector and the scalars
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, double e1, double e2, VectorMask<Double> m)
      Combines the lane values of this vector with the values of two broadcast scalars, with selection of lane elements controlled by a mask. This is a masked lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e1), this.broadcast(e2), m).
      Parameters:
      op - the operation used to combine lane values
      e1 - the first input scalar
      e2 - the second input scalar
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vector and the scalars
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, Vector<Double> v1, double e2)
      Combines the lane values of this vector with the values of another vector and a broadcast scalar. This is a lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, v1, this.broadcast(e2)).
      Parameters:
      op - the operation used to combine lane values
      v1 - the other input vector
      e2 - the input scalar
      Returns:
      the result of applying the operation lane-wise to the input vectors and the scalar
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, Vector<Double> v1, double e2, VectorMask<Double> m)
      Combines the lane values of this vector with the values of another vector and a broadcast scalar, with selection of lane elements controlled by a mask. This is a masked lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, v1, this.broadcast(e2), m).
      Parameters:
      op - the operation used to combine lane values
      v1 - the other input vector
      e2 - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vectors and the scalar
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, double e1, Vector<Double> v2)
      Combines the lane values of this vector with the values of another vector and a broadcast scalar. This is a lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e1), v2).
      Parameters:
      op - the operation used to combine lane values
      e1 - the input scalar
      v2 - the other input vector
      Returns:
      the result of applying the operation lane-wise to the input vectors and the scalar
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lanewise

      public final DoubleVector lanewise(VectorOperators.Ternary op, double e1, Vector<Double> v2, VectorMask<Double> m)
      Combines the lane values of this vector with the values of another vector and a broadcast scalar, with selection of lane elements controlled by a mask. This is a masked lane-wise ternary operation which applies the selected operation to each lane. The return value will be equal to this expression: this.lanewise(op, this.broadcast(e1), v2, m).
      Parameters:
      op - the operation used to combine lane values
      e1 - the input scalar
      v2 - the other input vector
      m - the mask controlling lane selection
      Returns:
      the result of applying the operation lane-wise to the input vectors and the scalar
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • add

      public final DoubleVector add(Vector<Double> v)
      Adds this vector to a second input vector. This is a lane-wise binary operation which applies the primitive addition operation (+) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(ADD, v).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      add in class Vector<Double>
      Parameters:
      v - a second input vector
      Returns:
      the result of adding this vector to the second input vector
      See Also:

    • add

      public final DoubleVector add(double e)
      Adds this vector to the broadcast of an input scalar. This is a lane-wise binary operation which applies the primitive addition operation (+) to each lane. This method is also equivalent to the expression lanewise(ADD, e).
      Parameters:
      e - the input scalar
      Returns:
      the result of adding each lane of this vector to the scalar
      See Also:

    • add

      public final DoubleVector add(Vector<Double> v, VectorMask<Double> m)
      Adds this vector to a second input vector, selecting lanes under the control of a mask. This is a masked lane-wise binary operation which applies the primitive addition operation (+) to each pair of corresponding lane values. For any lane unset in the mask, the primitive operation is suppressed and this vector retains the original value stored in that lane. This method is also equivalent to the expression lanewise(ADD, v, m).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      add in class Vector<Double>
      Parameters:
      v - the second input vector
      m - the mask controlling lane selection
      Returns:
      the result of adding this vector to the given vector
      See Also:

    • add

      public final DoubleVector add(double e, VectorMask<Double> m)
      Adds this vector to the broadcast of an input scalar, selecting lane elements controlled by a mask. This is a masked lane-wise binary operation which applies the primitive addition operation (+) to each lane. This method is also equivalent to the expression lanewise(ADD, s, m).
      Parameters:
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of adding each lane of this vector to the scalar
      See Also:

    • sub

      public final DoubleVector sub(Vector<Double> v)
      Subtracts a second input vector from this vector. This is a lane-wise binary operation which applies the primitive subtraction operation (-) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(SUB, v).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      sub in class Vector<Double>
      Parameters:
      v - a second input vector
      Returns:
      the result of subtracting the second input vector from this vector
      See Also:

    • sub

      public final DoubleVector sub(double e)
      Subtracts an input scalar from this vector. This is a masked lane-wise binary operation which applies the primitive subtraction operation (-) to each lane. This method is also equivalent to the expression lanewise(SUB, e).
      Parameters:
      e - the input scalar
      Returns:
      the result of subtracting the scalar from each lane of this vector
      See Also:

    • sub

      public final DoubleVector sub(Vector<Double> v, VectorMask<Double> m)
      Subtracts a second input vector from this vector under the control of a mask. This is a masked lane-wise binary operation which applies the primitive subtraction operation (-) to each pair of corresponding lane values. For any lane unset in the mask, the primitive operation is suppressed and this vector retains the original value stored in that lane. This method is also equivalent to the expression lanewise(SUB, v, m).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      sub in class Vector<Double>
      Parameters:
      v - the second input vector
      m - the mask controlling lane selection
      Returns:
      the result of subtracting the second input vector from this vector
      See Also:

    • sub

      public final DoubleVector sub(double e, VectorMask<Double> m)
      Subtracts an input scalar from this vector under the control of a mask. This is a masked lane-wise binary operation which applies the primitive subtraction operation (-) to each lane. This method is also equivalent to the expression lanewise(SUB, s, m).
      Parameters:
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of subtracting the scalar from each lane of this vector
      See Also:

    • mul

      public final DoubleVector mul(Vector<Double> v)
      Multiplies this vector by a second input vector. This is a lane-wise binary operation which applies the primitive multiplication operation (*) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(MUL, v).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      mul in class Vector<Double>
      Parameters:
      v - a second input vector
      Returns:
      the result of multiplying this vector by the second input vector
      See Also:

    • mul

      public final DoubleVector mul(double e)
      Multiplies this vector by the broadcast of an input scalar. This is a lane-wise binary operation which applies the primitive multiplication operation (*) to each lane. This method is also equivalent to the expression lanewise(MUL, e).
      Parameters:
      e - the input scalar
      Returns:
      the result of multiplying this vector by the given scalar
      See Also:

    • mul

      public final DoubleVector mul(Vector<Double> v, VectorMask<Double> m)
      Multiplies this vector by a second input vector under the control of a mask. This is a lane-wise binary operation which applies the primitive multiplication operation (*) to each pair of corresponding lane values. For any lane unset in the mask, the primitive operation is suppressed and this vector retains the original value stored in that lane. This method is also equivalent to the expression lanewise(MUL, v, m).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      mul in class Vector<Double>
      Parameters:
      v - the second input vector
      m - the mask controlling lane selection
      Returns:
      the result of multiplying this vector by the given vector
      See Also:

    • mul

      public final DoubleVector mul(double e, VectorMask<Double> m)
      Multiplies this vector by the broadcast of an input scalar, selecting lane elements controlled by a mask. This is a masked lane-wise binary operation which applies the primitive multiplication operation (*) to each lane. This method is also equivalent to the expression lanewise(MUL, s, m).
      Parameters:
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of muling each lane of this vector to the scalar
      See Also:

    • div

      public final DoubleVector div(Vector<Double> v)
      Divides this vector by a second input vector. This is a lane-wise binary operation which applies the primitive division operation (/) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(DIV, v).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      div in class Vector<Double>
      API Note:
      Because the underlying scalar operator is an IEEE floating point number, division by zero in fact will not throw an exception, but will yield a signed infinity or NaN.
      Parameters:
      v - a second input vector
      Returns:
      the result of dividing this vector by the second input vector
      See Also:

    • div

      public final DoubleVector div(double e)
      Divides this vector by the broadcast of an input scalar. This is a lane-wise binary operation which applies the primitive division operation (/) to each lane. This method is also equivalent to the expression lanewise(DIV, e).
      API Note:
      Because the underlying scalar operator is an IEEE floating point number, division by zero in fact will not throw an exception, but will yield a signed infinity or NaN.
      Parameters:
      e - the input scalar
      Returns:
      the result of dividing each lane of this vector by the scalar
      See Also:

    • div

      public final DoubleVector div(Vector<Double> v, VectorMask<Double> m)
      Divides this vector by a second input vector under the control of a mask. This is a lane-wise binary operation which applies the primitive division operation (/) to each pair of corresponding lane values. For any lane unset in the mask, the primitive operation is suppressed and this vector retains the original value stored in that lane. This method is also equivalent to the expression lanewise(DIV, v, m).

      As a full-service named operation, this method comes in masked and unmasked overloadings, and (in subclasses) also comes in scalar-broadcast overloadings (both masked and unmasked).

      Specified by:
      div in class Vector<Double>
      API Note:
      Because the underlying scalar operator is an IEEE floating point number, division by zero in fact will not throw an exception, but will yield a signed infinity or NaN.
      Parameters:
      v - a second input vector
      m - the mask controlling lane selection
      Returns:
      the result of dividing this vector by the second input vector
      See Also:

    • div

      public final DoubleVector div(double e, VectorMask<Double> m)
      Divides this vector by the broadcast of an input scalar, selecting lane elements controlled by a mask. This is a masked lane-wise binary operation which applies the primitive division operation (/) to each lane. This method is also equivalent to the expression lanewise(DIV, s, m).
      API Note:
      Because the underlying scalar operator is an IEEE floating point number, division by zero in fact will not throw an exception, but will yield a signed infinity or NaN.
      Parameters:
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the result of dividing each lane of this vector by the scalar
      See Also:

    • min

      public final DoubleVector min(Vector<Double> v)
      Computes the smaller of this vector and a second input vector. This is a lane-wise binary operation which applies the operation Math.min() to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(MIN, v).
      Specified by:
      min in class Vector<Double>
      API Note:
      For this method, floating point negative zero -0.0 is treated as a value distinct from, and less than the default value (positive zero).
      Parameters:
      v - a second input vector
      Returns:
      the lanewise minimum of this vector and the second input vector
      See Also:

    • min

      public final DoubleVector min(double e)
      Computes the smaller of this vector and the broadcast of an input scalar. This is a lane-wise binary operation which applies the operation Math.min() to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(MIN, e).
      API Note:
      For this method, floating point negative zero -0.0 is treated as a value distinct from, and less than the default value (positive zero).
      Parameters:
      e - the input scalar
      Returns:
      the result of multiplying this vector by the given scalar
      See Also:

    • max

      public final DoubleVector max(Vector<Double> v)
      Computes the larger of this vector and a second input vector. This is a lane-wise binary operation which applies the operation Math.max() to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(MAX, v).

      This is not a full-service named operation like add(). A masked version of this operation is not directly available but may be obtained via the masked version of lanewise. Subclasses define an additional scalar-broadcast overloading of this method.

      Specified by:
      max in class Vector<Double>
      API Note:
      For this method, floating point negative zero -0.0 is treated as a value distinct from, and less than the default value (positive zero).
      Parameters:
      v - a second input vector
      Returns:
      the lanewise maximum of this vector and the second input vector
      See Also:

    • max

      public final DoubleVector max(double e)
      Computes the larger of this vector and the broadcast of an input scalar. This is a lane-wise binary operation which applies the operation Math.max() to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(MAX, e).
      API Note:
      For this method, floating point negative zero -0.0 is treated as a value distinct from, and less than the default value (positive zero).
      Parameters:
      e - the input scalar
      Returns:
      the result of multiplying this vector by the given scalar
      See Also:

    • pow

      public final DoubleVector pow(Vector<Double> b)
      Raises this vector to the power of a second input vector. This is a lane-wise binary operation which applies an operation conforming to the specification of Math.pow(a,b) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(POW, b).

      This is not a full-service named operation like add. A masked version of this operation is not directly available but may be obtained via the masked version of lanewise.

      Parameters:
      b - a vector exponent by which to raise this vector
      Returns:
      the b-th power of this vector
      See Also:

    • pow

      public final DoubleVector pow(double b)
      Raises this vector to a scalar power. This is a lane-wise binary operation which applies an operation conforming to the specification of Math.pow(a,b) to each pair of corresponding lane values. This method is also equivalent to the expression lanewise(POW, b).
      Parameters:
      b - a scalar exponent by which to raise this vector
      Returns:
      the b-th power of this vector
      See Also:

    • neg

      public final DoubleVector neg()
      Negates this vector. This is a lane-wise unary operation which applies the primitive negation operation (-x) to each input lane. This method is also equivalent to the expression lanewise(NEG).
      Specified by:
      neg in class Vector<Double>
      Returns:
      the negation of this vector
      See Also:

    • abs

      public final DoubleVector abs()
      Returns the absolute value of this vector. This is a lane-wise unary operation which applies the method Math.abs to each input lane. This method is also equivalent to the expression lanewise(ABS).
      Specified by:
      abs in class Vector<Double>
      Returns:
      the absolute value of this vector
      See Also:

    • sqrt

      public final DoubleVector sqrt()
      Computes the square root of this vector. This is a lane-wise unary operation which applies an operation conforming to the specification of Math.sqrt(a) to each lane value. This method is also equivalent to the expression lanewise(SQRT).
      Returns:
      the square root of this vector
      See Also:

    • eq

      public final VectorMask<Double> eq(Vector<Double> v)
      Tests if this vector is equal to another input vector. This is a lane-wise binary test operation which applies the primitive equals operation (==) to each pair of corresponding lane values. The result is the same as compare(VectorOperators.EQ, v).
      Specified by:
      eq in class Vector<Double>
      Parameters:
      v - a second input vector
      Returns:
      the mask result of testing lane-wise if this vector equal to the second input vector
      See Also:

    • eq

      public final VectorMask<Double> eq(double e)
      Tests if this vector is equal to an input scalar. This is a lane-wise binary test operation which applies the primitive equals operation (==) to each lane. The result is the same as compare(VectorOperators.Comparison.EQ, e).
      Parameters:
      e - the input scalar
      Returns:
      the result mask of testing if this vector is equal to e
      See Also:

    • lt

      public final VectorMask<Double> lt(Vector<Double> v)
      Tests if this vector is less than another input vector. This is a lane-wise binary test operation which applies the primitive less-than operation (<) to each lane. The result is the same as compare(VectorOperators.LT, v).
      Specified by:
      lt in class Vector<Double>
      Parameters:
      v - a second input vector
      Returns:
      the mask result of testing lane-wise if this vector is less than the second input vector
      See Also:

    • lt

      public final VectorMask<Double> lt(double e)
      Tests if this vector is less than an input scalar. This is a lane-wise binary test operation which applies the primitive less than operation (<) to each lane. The result is the same as compare(VectorOperators.LT, e).
      Parameters:
      e - the input scalar
      Returns:
      the mask result of testing if this vector is less than the input scalar
      See Also:

    • test

      public abstract VectorMask<Double> test(VectorOperators.Test op)
      Tests the lanes of this vector according to the given operation. This is a lane-wise unary test operation which applies the given test operation to each lane value.
      Specified by:
      test in class Vector<Double>
      Parameters:
      op - the operation used to test lane values
      Returns:
      the mask result of testing the lanes of this vector, according to the selected test operator
      See Also:

    • test

      public abstract VectorMask<Double> test(VectorOperators.Test op, VectorMask<Double> m)
      Test selected lanes of this vector, according to the given operation. This is a masked lane-wise unary test operation which applies the given test operation to each lane value. The returned result is equal to the expression test(op).and(m).
      Specified by:
      test in class Vector<Double>
      Parameters:
      op - the operation used to test lane values
      m - the mask controlling lane selection
      Returns:
      the mask result of testing the lanes of this vector, according to the selected test operator, and only in the lanes selected by the mask
      See Also:

    • compare

      public abstract VectorMask<Double> compare(VectorOperators.Comparison op, Vector<Double> v)
      Tests this vector by comparing it with another input vector, according to the given comparison operation. This is a lane-wise binary test operation which applies the given comparison operation to each pair of corresponding lane values.
      Specified by:
      compare in class Vector<Double>
      Parameters:
      op - the operation used to compare lane values
      v - a second input vector
      Returns:
      the mask result of testing lane-wise if this vector compares to the input, according to the selected comparison operator
      See Also:

    • compare

      public abstract VectorMask<Double> compare(VectorOperators.Comparison op, double e)
      Tests this vector by comparing it with an input scalar, according to the given comparison operation. This is a lane-wise binary test operation which applies the comparison operation to each lane.

      The result is the same as compare(op, broadcast(species(), e)). That is, the scalar may be regarded as broadcast to a vector of the same species, and then compared against the original vector, using the selected comparison operation.

      Parameters:
      op - the operation used to compare lane values
      e - the input scalar
      Returns:
      the mask result of testing lane-wise if this vector compares to the input, according to the selected comparison operator
      See Also:

    • compare

      public final VectorMask<Double> compare(VectorOperators.Comparison op, double e, VectorMask<Double> m)
      Tests this vector by comparing it with an input scalar, according to the given comparison operation, in lanes selected by a mask. This is a masked lane-wise binary test operation which applies to each pair of corresponding lane values. The returned result is equal to the expression compare(op,s).and(m).
      Parameters:
      op - the operation used to compare lane values
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the mask result of testing lane-wise if this vector compares to the input, according to the selected comparison operator, and only in the lanes selected by the mask
      See Also:

    • compare

      public abstract VectorMask<Double> compare(VectorOperators.Comparison op, long e)
      Tests this vector by comparing it with an input scalar, according to the given comparison operation. This is a lane-wise binary test operation which applies the given comparison operation to each lane value, paired with the broadcast value.

      The result is the same as this.compare(op, this.broadcast(e)). That is, the scalar may be regarded as broadcast to a vector of the same species, and then compared against the original vector, using the selected comparison operation.

      Specified by:
      compare in class Vector<Double>
      Parameters:
      op - the operation used to compare lane values
      e - the input scalar
      Returns:
      the mask result of testing lane-wise if this vector compares to the input, according to the selected comparison operator
      See Also:

    • compare

      public final VectorMask<Double> compare(VectorOperators.Comparison op, long e, VectorMask<Double> m)
      Tests this vector by comparing it with an input scalar, according to the given comparison operation, in lanes selected by a mask. This is a masked lane-wise binary test operation which applies the given comparison operation to each lane value, paired with the broadcast value. The returned result is equal to the expression compare(op,e).and(m).
      Specified by:
      compare in class Vector<Double>
      Parameters:
      op - the operation used to compare lane values
      e - the input scalar
      m - the mask controlling lane selection
      Returns:
      the mask result of testing lane-wise if this vector compares to the input, according to the selected comparison operator, and only in the lanes selected by the mask
      See Also:

    • blend

      public abstract DoubleVector blend(Vector<Double> v, VectorMask<Double> m)
      Replaces selected lanes of this vector with corresponding lanes from a second input vector under the control of a mask. This is a masked lane-wise binary operation which selects each lane value from one or the other input.
      • For any lane set in the mask, the new lane value is taken from the second input vector, and replaces whatever value was in the that lane of this vector.
      • For any lane unset in the mask, the replacement is suppressed and this vector retains the original value stored in that lane.
      The following pseudocode illustrates this behavior: 
      
 Vector<E> a = ...;
 VectorSpecies<E> species = a.species();
 Vector<E> b = ...;
 b.check(species);
 VectorMask<E> m = ...;
 ETYPE[] ar = a.toArray();
 for (int i = 0; i < ar.length; i++) {
     if (m.laneIsSet(i)) {
         ar[i] = b.lane(i);
     }
 }
 return EVector.fromArray(s, ar, 0);
      Specified by:
      blend in class Vector<Double>
      Parameters:
      v - the second input vector, containing replacement lane values
      m - the mask controlling lane selection from the second input vector
      Returns:
      the result of blending the lane elements of this vector with those of the second input vector

    • addIndex

      public abstract DoubleVector addIndex(int scale)
      Adds the lanes of this vector to their corresponding lane numbers, scaled by a given constant. This is a lane-wise unary operation which, for each lane N, computes the scaled index value N*scale and adds it to the value already in lane N of the current vector.

      The scale must not be so large, and the element size must not be so small, that that there would be an overflow when computing any of the N*scale or VLENGTH*scale, when the result is represented using the vector lane type ETYPE.

      The following pseudocode illustrates this behavior: 

      
 Vector<E> a = ...;
 VectorSpecies<E> species = a.species();
 ETYPE[] ar = a.toArray();
 for (int i = 0; i < ar.length; i++) {
     long d = (long)i * scale;
     if (d != (ETYPE) d)  throw ...;
     ar[i] += (ETYPE) d;
 }
 long d = (long)ar.length * scale;
 if (d != (ETYPE) d)  throw ...;
 return EVector.fromArray(s, ar, 0);
      Specified by:
      addIndex in class Vector<Double>
      Parameters:
      scale - the number to multiply by each lane index N, typically 1
      Returns:
      the result of incrementing each lane element by its corresponding lane index N, scaled by scale

    • blend

      public final DoubleVector blend(double e, VectorMask<Double> m)
      Replaces selected lanes of this vector with a scalar value under the control of a mask. This is a masked lane-wise binary operation which selects each lane value from one or the other input. The returned result is equal to the expression blend(broadcast(e),m).
      Parameters:
      e - the input scalar, containing the replacement lane value
      m - the mask controlling lane selection of the scalar
      Returns:
      the result of blending the lane elements of this vector with the scalar value

    • blend

      public final DoubleVector blend(long e, VectorMask<Double> m)
      Replaces selected lanes of this vector with a scalar value under the control of a mask. This is a masked lane-wise binary operation which selects each lane value from one or the other input. The returned result is equal to the expression blend(broadcast(e),m).
      Specified by:
      blend in class Vector<Double>
      Parameters:
      e - the input scalar, containing the replacement lane value
      m - the mask controlling lane selection of the scalar
      Returns:
      the result of blending the lane elements of this vector with the scalar value

    • slice

      public abstract DoubleVector slice(int origin, Vector<Double> v1)
      Slices a segment of adjacent lanes, starting at a given origin lane in the current vector, and continuing (as needed) into an immediately following vector. The block of VLENGTH lanes is extracted into its own vector and returned.

      This is a cross-lane operation that shifts lane elements to the front, from the current vector and the second vector. Both vectors can be viewed as a combined "background" of length 2*VLENGTH, from which a slice is extracted. The lane numbered N in the output vector is copied from lane origin+N of the input vector, if that lane exists, else from lane origin+N-VLENGTH of the second vector (which is guaranteed to exist).

      The origin value must be in the inclusive range 0..VLENGTH. As limiting cases, v.slice(0,w) and v.slice(VLENGTH,w) return v and w, respectively.

      Parameters:
      origin - the first input lane to transfer into the slice
      v1 - a second vector logically concatenated with the first, before the slice is taken (if omitted it defaults to zero)
      Returns:
      a contiguous slice of VLENGTH lanes, taken from this vector starting at the indicated origin, and continuing (as needed) into the second vector
      See Also:

    • slice

      public final DoubleVector slice(int origin, Vector<Double> w, VectorMask<Double> m)
      Slices a segment of adjacent lanes under the control of a mask, starting at a given origin lane in the current vector, and continuing (as needed) into an immediately following vector. The block of VLENGTH lanes is extracted into its own vector and returned. The resulting vector will be zero in all lanes unset in the given mask. Lanes set in the mask will contain data copied from selected lanes of this or v1.

      This is a cross-lane operation that shifts lane elements to the front, from the current vector and the second vector. Both vectors can be viewed as a combined "background" of length 2*VLENGTH, from which a slice is extracted. The returned result is equal to the expression broadcast(0).blend(slice(origin,v1),m).

      Specified by:
      slice in class Vector<Double>
      Parameters:
      origin - the first input lane to transfer into the slice
      w - a second vector logically concatenated with the first, before the slice is taken (if omitted it defaults to zero)
      m - the mask controlling lane selection into the resulting vector
      Returns:
      a contiguous slice of VLENGTH lanes, taken from this vector starting at the indicated origin, and continuing (as needed) into the second vector
      See Also:

    • slice

      public abstract DoubleVector slice(int origin)
      Slices a segment of adjacent lanes, starting at a given origin lane in the current vector. A block of VLENGTH lanes, possibly padded with zero lanes, is extracted into its own vector and returned. This is a convenience method which slices from a single vector against an extended background of zero lanes. It is equivalent to slice (origin, broadcast(0)). It may also be viewed simply as a cross-lane shift from later to earlier lanes, with zeroes filling in the vacated lanes at the end of the vector. In this view, the shift count is origin.
      Parameters:
      origin - the first input lane to transfer into the slice
      Returns:
      the last VLENGTH-origin input lanes, placed starting in the first lane of the output, padded at the end with zeroes
      See Also:

    • unslice

      public abstract DoubleVector unslice(int origin, Vector<Double> w, int part)
      Reverses a slice(), inserting the current vector as a slice within another "background" input vector, which is regarded as one or the other input to a hypothetical subsequent slice() operation.

      This is a cross-lane operation that permutes the lane elements of the current vector toward the back and inserts them into a logical pair of background vectors. Only one of the pair will be returned, however. The background is formed by duplicating the second input vector. (However, the output will never contain two duplicates from the same input lane.) The lane numbered N in the input vector is copied into lane origin+N of the first background vector, if that lane exists, else into lane origin+N-VLENGTH of the second background vector (which is guaranteed to exist). The first or second background vector, updated with the inserted slice, is returned. The part number of zero or one selects the first or second updated background vector.

      The origin value must be in the inclusive range 0..VLENGTH. As limiting cases, v.unslice(0,w,0) and v.unslice(VLENGTH,w,1) both return v, while v.unslice(0,w,1) and v.unslice(VLENGTH,w,0) both return w.

      Specified by:
      unslice in class Vector<Double>
      Parameters:
      origin - the first output lane to receive the slice
      w - the background vector that (as two copies) will receive the inserted slice
      part - the part number of the result (either zero or one)
      Returns:
      either the first or second part of a pair of background vectors w, updated by inserting this vector at the indicated origin
      See Also:

    • unslice

      public abstract DoubleVector unslice(int origin, Vector<Double> w, int part, VectorMask<Double> m)
      Reverses a slice(), inserting (under the control of a mask) the current vector as a slice within another "background" input vector, which is regarded as one or the other input to a hypothetical subsequent slice() operation.

      This is a cross-lane operation that permutes the lane elements of the current vector forward and inserts its lanes (when selected by the mask) into a logical pair of background vectors. As with the unmasked version of this method, only one of the pair will be returned, as selected by the part number. For each lane N selected by the mask, the lane value is copied into lane origin+N of the first background vector, if that lane exists, else into lane origin+N-VLENGTH of the second background vector (which is guaranteed to exist). Background lanes retain their original values if the corresponding input lanes N are unset in the mask. The first or second background vector, updated with set lanes of the inserted slice, is returned. The part number of zero or one selects the first or second updated background vector.

      Specified by:
      unslice in class Vector<Double>
      Parameters:
      origin - the first output lane to receive the slice
      w - the background vector that (as two copies) will receive the inserted slice, if they are set in m
      part - the part number of the result (either zero or one)
      m - the mask controlling lane selection from the current vector
      Returns:
      either the first or second part of a pair of background vectors w, updated by inserting selected lanes of this vector at the indicated origin
      See Also:

    • unslice

      public abstract DoubleVector unslice(int origin)
      Reverses a slice(), inserting the current vector as a slice within a "background" input of zero lane values. Compared to other unslice() methods, this method only returns the first of the pair of background vectors. This is a convenience method which returns the result of unslice (origin, broadcast(0), 0). It may also be viewed simply as a cross-lane shift from earlier to later lanes, with zeroes filling in the vacated lanes at the beginning of the vector. In this view, the shift count is origin.
      Specified by:
      unslice in class Vector<Double>
      Parameters:
      origin - the first output lane to receive the slice
      Returns:
      the first VLENGTH-origin input lanes, placed starting at the given origin, padded at the beginning with zeroes
      See Also:

    • rearrange

      public abstract DoubleVector rearrange(VectorShuffle<Double> m)
      Rearranges the lane elements of this vector, selecting lanes under the control of a specific shuffle. This is a cross-lane operation that rearranges the lane elements of this vector. For each lane N of the shuffle, and for each lane source index I=s.laneSource(N) in the shuffle, the output lane N obtains the value from the input vector at lane I.
      Specified by:
      rearrange in class Vector<Double>
      Parameters:
      m - the shuffle controlling lane index selection
      Returns:
      the rearrangement of the lane elements of this vector
      See Also:

    • rearrange

      public abstract DoubleVector rearrange(VectorShuffle<Double> s, VectorMask<Double> m)
      Rearranges the lane elements of this vector, selecting lanes under the control of a specific shuffle and a mask. This is a cross-lane operation that rearranges the lane elements of this vector. For each lane N of the shuffle, and for each lane source index I=s.laneSource(N) in the shuffle, the output lane N obtains the value from the input vector at lane I if the mask is set. Otherwise the output lane N is set to zero.

      This method returns the value of this pseudocode: 

      
 Vector<E> r = this.rearrange(s.wrapIndexes());
 VectorMask<E> valid = s.laneIsValid();
 if (m.andNot(valid).anyTrue()) throw ...;
 return broadcast(0).blend(r, m);
      Specified by:
      rearrange in class Vector<Double>
      Parameters:
      s - the shuffle controlling lane index selection
      m - the mask controlling application of the shuffle
      Returns:
      the rearrangement of the lane elements of this vector
      See Also:

    • rearrange

      public abstract DoubleVector rearrange(VectorShuffle<Double> s, Vector<Double> v)
      Rearranges the lane elements of two vectors, selecting lanes under the control of a specific shuffle, using both normal and exceptional indexes in the shuffle to steer data. This is a cross-lane operation that rearranges the lane elements of the two input vectors (the current vector and a second vector v). For each lane N of the shuffle, and for each lane source index I=s.laneSource(N) in the shuffle, the output lane N obtains the value from the first vector at lane I if I>=0. Otherwise, the exceptional index I is wrapped by adding VLENGTH to it and used to index the second vector, at index I+VLENGTH.

      This method returns the value of this pseudocode: 

      
 Vector<E> r1 = this.rearrange(s.wrapIndexes());
 // or else: r1 = this.rearrange(s, s.laneIsValid());
 Vector<E> r2 = v.rearrange(s.wrapIndexes());
 return r2.blend(r1,s.laneIsValid());
      Specified by:
      rearrange in class Vector<Double>
      Parameters:
      s - the shuffle controlling lane selection from both input vectors
      v - the second input vector
      Returns:
      the rearrangement of lane elements of this vector and a second input vector
      See Also:

    • compress

      public abstract DoubleVector compress(VectorMask<Double> m)
      Compresses the lane elements of this vector selecting lanes under the control of a specific mask. This is a cross-lane operation that compresses the lane elements of this vector as selected by the specified mask. For each lane N of the mask, if the mask at lane N is set, the element at lane N of input vector is selected and stored into the output vector contiguously starting from the lane 0. All the upper remaining lanes, if any, of the output vector are set to zero.
      Specified by:
      compress in class Vector<Double>
      Parameters:
      m - the mask controlling the compression
      Returns:
      the compressed lane elements of this vector
      Since:
      19

    • expand

      public abstract DoubleVector expand(VectorMask<Double> m)
      Expands the lane elements of this vector under the control of a specific mask. This is a cross-lane operation that expands the contiguous lane elements of this vector into lanes of an output vector as selected by the specified mask. For each lane N of the mask, if the mask at lane N is set, the next contiguous element of input vector starting from lane 0 is selected and stored into the output vector at lane N. All the remaining lanes, if any, of the output vector are set to zero.
      Specified by:
      expand in class Vector<Double>
      Parameters:
      m - the mask controlling the compression
      Returns:
      the expanded lane elements of this vector
      Since:
      19

    • selectFrom

      public abstract DoubleVector selectFrom(Vector<Double> v)
      Using index values stored in the lanes of this vector, assemble values stored in second vector v. The second vector thus serves as a table, whose elements are selected by indexes in the current vector. This is a cross-lane operation that rearranges the lane elements of the argument vector, under the control of this vector. For each lane N of this vector, and for each lane value I=this.lane(N) in this vector, the output lane N obtains the value from the argument vector at lane I. In this way, the result contains only values stored in the argument vector v, but presented in an order which depends on the index values in this. The result is the same as the expression v.rearrange(this.toShuffle()).
      Specified by:
      selectFrom in class Vector<Double>
      Parameters:
      v - the vector supplying the result values
      Returns:
      the rearrangement of the lane elements of v
      See Also:

    • selectFrom

      public abstract DoubleVector selectFrom(Vector<Double> s, VectorMask<Double> m)
      Using index values stored in the lanes of this vector, assemble values stored in second vector, under the control of a mask. Using index values stored in the lanes of this vector, assemble values stored in second vector v. The second vector thus serves as a table, whose elements are selected by indexes in the current vector. Lanes that are unset in the mask receive a zero rather than a value from the table. This is a cross-lane operation that rearranges the lane elements of the argument vector, under the control of this vector and the mask. The result is the same as the expression v.rearrange(this.toShuffle(), m).
      Specified by:
      selectFrom in class Vector<Double>
      Parameters:
      s - the vector supplying the result values
      m - the mask controlling selection from v
      Returns:
      the rearrangement of the lane elements of v
      See Also:

    • fma

      public final DoubleVector fma(Vector<Double> b, Vector<Double> c)
      Multiplies this vector by a second input vector, and sums the result with a third. Extended precision is used for the intermediate result, avoiding possible loss of precision from rounding once for each of the two operations. The result is numerically close to this.mul(b).add(c), and is typically closer to the true mathematical result. This is a lane-wise ternary operation which applies an operation conforming to the specification of Math.fma(a,b,c) to each lane. This method is also equivalent to the expression lanewise(FMA, b, c).
      Parameters:
      b - the second input vector, supplying multiplier values
      c - the third input vector, supplying addend values
      Returns:
      the product of this vector and the second input vector summed with the third input vector, using extended precision for the intermediate result
      See Also:

    • fma

      public final DoubleVector fma(double b, double c)
      Multiplies this vector by a scalar multiplier, and sums the result with a scalar addend. Extended precision is used for the intermediate result, avoiding possible loss of precision from rounding once for each of the two operations. The result is numerically close to this.mul(b).add(c), and is typically closer to the true mathematical result. This is a lane-wise ternary operation which applies an operation conforming to the specification of Math.fma(a,b,c) to each lane. This method is also equivalent to the expression lanewise(FMA, b, c).
      Parameters:
      b - the scalar multiplier
      c - the scalar addend
      Returns:
      the product of this vector and the scalar multiplier summed with scalar addend, using extended precision for the intermediate result
      See Also:

    • reduceLanes

      public abstract double reduceLanes(VectorOperators.Associative op)
      Returns a value accumulated from all the lanes of this vector. This is an associative cross-lane reduction operation which applies the specified operation to all the lane elements.

      A few reduction operations do not support arbitrary reordering of their operands, yet are included here because of their usefulness.

      • In the case of FIRST_NONZERO, the reduction returns the value from the lowest-numbered non-zero lane. (As with MAX and MIN, floating point negative zero -0.0 is treated as a value distinct from the default value, positive zero. So a first-nonzero lane reduction might return -0.0 even in the presence of non-zero lane values.)
      • In the case of ADD and MUL, the precise result will reflect the choice of an arbitrary order of operations, which may even vary over time. For further details see the section Operations on floating point vectors.
      • All other reduction operations are fully commutative and associative. The implementation can choose any order of processing, yet it will always produce the same result.
      Parameters:
      op - the operation used to combine lane values
      Returns:
      the accumulated result
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • reduceLanes

      public abstract double reduceLanes(VectorOperators.Associative op, VectorMask<Double> m)
      Returns a value accumulated from selected lanes of this vector, controlled by a mask. This is an associative cross-lane reduction operation which applies the specified operation to the selected lane elements.

      If no elements are selected, an operation-specific identity value is returned.

      • If the operation is ADD or FIRST_NONZERO, then the identity value is positive zero, the default double value.
      • If the operation is MUL, then the identity value is one.
      • If the operation is MAX, then the identity value is Double.NEGATIVE_INFINITY.
      • If the operation is MIN, then the identity value is Double.POSITIVE_INFINITY.

      A few reduction operations do not support arbitrary reordering of their operands, yet are included here because of their usefulness.

      • In the case of FIRST_NONZERO, the reduction returns the value from the lowest-numbered non-zero lane. (As with MAX and MIN, floating point negative zero -0.0 is treated as a value distinct from the default value, positive zero. So a first-nonzero lane reduction might return -0.0 even in the presence of non-zero lane values.)
      • In the case of ADD and MUL, the precise result will reflect the choice of an arbitrary order of operations, which may even vary over time. For further details see the section Operations on floating point vectors.
      • All other reduction operations are fully commutative and associative. The implementation can choose any order of processing, yet it will always produce the same result.
      Parameters:
      op - the operation used to combine lane values
      m - the mask controlling lane selection
      Returns:
      the reduced result accumulated from the selected lane values
      Throws:
      UnsupportedOperationException - if this vector does not support the requested operation
      See Also:

    • lane

      public abstract double lane(int i)
      Gets the lane element at lane index i
      Parameters:
      i - the lane index
      Returns:
      the lane element at lane index i
      Throws:
      IllegalArgumentException - if the index is is out of range (< 0 || >= length())

    • withLane

      public abstract DoubleVector withLane(int i, double e)
      Replaces the lane element of this vector at lane index i with value e. This is a cross-lane operation and behaves as if it returns the result of blending this vector with an input vector that is the result of broadcasting e and a mask that has only one lane set at lane index i.
      Parameters:
      i - the lane index of the lane element to be replaced
      e - the value to be placed
      Returns:
      the result of replacing the lane element of this vector at lane index i with value e.
      Throws:
      IllegalArgumentException - if the index is is out of range (< 0 || >= length())

    • toArray

      public final double[] toArray()
      Returns an array of type double[] containing all the lane values. The array length is the same as the vector length. The array elements are stored in lane order.

      This method behaves as if it stores this vector into an allocated array (using intoArray) and returns the array as follows: 

      
   double[] a = new double[this.length()];
   this.intoArray(a, 0);
   return a;
      Specified by:
      toArray in class Vector<Double>
      Returns:
      an array containing the lane values of this vector
      See Also:

    • toIntArray

      public final int[] toIntArray()
      Returns an int[] array containing all the lane values, converted to the type int. The array length is the same as the vector length. The array elements are converted as if by casting and stored in lane order. This operation may fail if the vector element type is float or double, when lanes contain fractional or out-of-range values. If any vector lane value is not representable as an int, an exception is thrown.
      Specified by:
      toIntArray in class Vector<Double>
      Returns:
      an int[] array containing the lane values of this vector
      See Also:

    • toLongArray

      public final long[] toLongArray()
      Returns a long[] array containing all the lane values, converted to the type long. The array length is the same as the vector length. The array elements are converted as if by casting and stored in lane order. This operation may fail if the vector element type is float or double, when lanes contain fractional or out-of-range values. If any vector lane value is not representable as a long, an exception is thrown.
      Specified by:
      toLongArray in class Vector<Double>
      Returns:
      a long[] array containing the lane values of this vector
      See Also:

    • toDoubleArray

      public final double[] toDoubleArray()
      Returns a double[] array containing all the lane values, converted to the type double. The array length is the same as the vector length. The array elements are converted as if by casting and stored in lane order. This operation can lose precision if the vector element type is long.
      Specified by:
      toDoubleArray in class Vector<Double>
      Implementation Note:
      This is an alias for toArray() When this method is used on used on vectors of type DoubleVector, there will be no loss of precision.
      Returns:
      a double[] array containing the lane values of this vector, possibly rounded to representable double values
      See Also:

    • fromArray

      public static DoubleVector fromArray(VectorSpecies<Double> species, double[] a, int offset)
      Loads a vector from an array of type double[] starting at an offset. For each vector lane, where N is the vector lane index, the array element at index offset + N is placed into the resulting vector at lane index N.
      Parameters:
      species - species of desired vector
      a - the array
      offset - the offset into the array
      Returns:
      the vector loaded from an array
      Throws:
      IndexOutOfBoundsException - if offset+N < 0 or offset+N >= a.length for any lane N in the vector

    • fromArray

      public static DoubleVector fromArray(VectorSpecies<Double> species, double[] a, int offset, VectorMask<Double> m)
      Loads a vector from an array of type double[] starting at an offset and using a mask. Lanes where the mask is unset are filled with the default value of double (positive zero). For each vector lane, where N is the vector lane index, if the mask lane at index N is set then the array element at index offset + N is placed into the resulting vector at lane index N, otherwise the default element value is placed into the resulting vector at lane index N.
      Parameters:
      species - species of desired vector
      a - the array
      offset - the offset into the array
      m - the mask controlling lane selection
      Returns:
      the vector loaded from an array
      Throws:
      IndexOutOfBoundsException - if offset+N < 0 or offset+N >= a.length for any lane N in the vector where the mask is set

    • fromArray

      public static DoubleVector fromArray(VectorSpecies<Double> species, double[] a, int offset, int[] indexMap, int mapOffset)
      Gathers a new vector composed of elements from an array of type double[], using indexes obtained by adding a fixed offset to a series of secondary offsets from an index map. The index map is a contiguous sequence of VLENGTH elements in a second array of ints, starting at a given mapOffset.

      For each vector lane, where N is the vector lane index, the lane is loaded from the array element a[f(N)], where f(N) is the index mapping expression offset + indexMap[mapOffset + N]].

      Parameters:
      species - species of desired vector
      a - the array
      offset - the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array bounds
      indexMap - the index map
      mapOffset - the offset into the index map
      Returns:
      the vector loaded from the indexed elements of the array
      Throws:
      IndexOutOfBoundsException - if mapOffset+N < 0 or if mapOffset+N >= indexMap.length, or if f(N)=offset+indexMap[mapOffset+N] is an invalid index into a, for any lane N in the vector
      See Also:

    • fromArray

      public static DoubleVector fromArray(VectorSpecies<Double> species, double[] a, int offset, int[] indexMap, int mapOffset, VectorMask<Double> m)
      Gathers a new vector composed of elements from an array of type double[], under the control of a mask, and using indexes obtained by adding a fixed offset to a series of secondary offsets from an index map. The index map is a contiguous sequence of VLENGTH elements in a second array of ints, starting at a given mapOffset.

      For each vector lane, where N is the vector lane index, if the lane is set in the mask, the lane is loaded from the array element a[f(N)], where f(N) is the index mapping expression offset + indexMap[mapOffset + N]]. Unset lanes in the resulting vector are set to zero.

      Parameters:
      species - species of desired vector
      a - the array
      offset - the offset into the array, may be negative if relative indexes in the index map compensate to produce a value within the array bounds
      indexMap - the index map
      mapOffset - the offset into the index map
      m - the mask controlling lane selection
      Returns:
      the vector loaded from the indexed elements of the array
      Throws:
      IndexOutOfBoundsException - if mapOffset+N < 0 or if mapOffset+N >= indexMap.length, or if f(N)=offset+indexMap[mapOffset+N] is an invalid index into a, for any lane N in the vector where the mask is set
      See Also:

    • fromMemorySegment

      public static DoubleVector fromMemorySegment(VectorSpecies<Double> species, MemorySegmentPREVIEW ms, long offset, ByteOrder bo)
      Loads a vector from a memory segmentPREVIEW starting at an offset into the memory segment. Bytes are composed into primitive lane elements according to the specified byte order. The vector is arranged into lanes according to memory ordering.

      This method behaves as if it returns the result of calling fromMemorySegment()PREVIEW as follows: 

      
 var m = species.maskAll(true);
 return fromMemorySegment(species, ms, offset, bo, m);
      Parameters:
      species - species of desired vector
      ms - the memory segment
      offset - the offset into the memory segment
      bo - the intended byte order
      Returns:
      a vector loaded from the memory segment
      Throws:
      IndexOutOfBoundsException - if offset+N*8 < 0 or offset+N*8 >= ms.byteSize() for any lane N in the vector
      IllegalArgumentException - if the memory segment is a heap segment that is not backed by a byte[] array.
      IllegalStateException - if the memory segment's session is not alive, or if access occurs from a thread other than the thread owning the session.
      Since:
      19

    • fromMemorySegment

      public static DoubleVector fromMemorySegment(VectorSpecies<Double> species, MemorySegmentPREVIEW ms, long offset, ByteOrder bo, VectorMask<Double> m)
      Loads a vector from a memory segmentPREVIEW starting at an offset into the memory segment and using a mask. Lanes where the mask is unset are filled with the default value of double (positive zero). Bytes are composed into primitive lane elements according to the specified byte order. The vector is arranged into lanes according to memory ordering.

      The following pseudocode illustrates the behavior: 

      
 var slice = ms.asSlice(offset);
 double[] ar = new double[species.length()];
 for (int n = 0; n < ar.length; n++) {
     if (m.laneIsSet(n)) {
         ar[n] = slice.getAtIndex(ValuaLayout.JAVA_DOUBLE.withByteAlignment(1), n);
     }
 }
 DoubleVector r = DoubleVector.fromArray(species, ar, 0);
      Implementation Note:
      This operation is likely to be more efficient if the specified byte order is the same as the platform native order, since this method will not need to reorder the bytes of lane values.
      Parameters:
      species - species of desired vector
      ms - the memory segment
      offset - the offset into the memory segment
      bo - the intended byte order
      m - the mask controlling lane selection
      Returns:
      a vector loaded from the memory segment
      Throws:
      IndexOutOfBoundsException - if offset+N*8 < 0 or offset+N*8 >= ms.byteSize() for any lane N in the vector where the mask is set
      IllegalArgumentException - if the memory segment is a heap segment that is not backed by a byte[] array.
      IllegalStateException - if the memory segment's session is not alive, or if access occurs from a thread other than the thread owning the session.
      Since:
      19

    • intoArray

      public final void intoArray(double[] a, int offset)
      Stores this vector into an array of type double[] starting at an offset.

      For each vector lane, where N is the vector lane index, the lane element at index N is stored into the array element a[offset+N].

      Parameters:
      a - the array, of type double[]
      offset - the offset into the array
      Throws:
      IndexOutOfBoundsException - if offset+N < 0 or offset+N >= a.length for any lane N in the vector

    • intoArray

      public final void intoArray(double[] a, int offset, VectorMask<Double> m)
      Stores this vector into an array of type double[] starting at offset and using a mask.

      For each vector lane, where N is the vector lane index, the lane element at index N is stored into the array element a[offset+N]. If the mask lane at N is unset then the corresponding array element a[offset+N] is left unchanged.

      Array range checking is done for lanes where the mask is set. Lanes where the mask is unset are not stored and do not need to correspond to legitimate elements of a. That is, unset lanes may correspond to array indexes less than zero or beyond the end of the array.

      Parameters:
      a - the array, of type double[]
      offset - the offset into the array
      m - the mask controlling lane storage
      Throws:
      IndexOutOfBoundsException - if offset+N < 0 or offset+N >= a.length for any lane N in the vector where the mask is set

    • intoArray

      public final void intoArray(double[] a, int offset, int[] indexMap, int mapOffset)
      Scatters this vector into an array of type double[] using indexes obtained by adding a fixed offset to a series of secondary offsets from an index map. The index map is a contiguous sequence of VLENGTH elements in a second array of ints, starting at a given mapOffset.

      For each vector lane, where N is the vector lane index, the lane element at index N is stored into the array element a[f(N)], where f(N) is the index mapping expression offset + indexMap[mapOffset + N]].

      Parameters:
      a - the array
      offset - an offset to combine with the index map offsets
      indexMap - the index map
      mapOffset - the offset into the index map
      Throws:
      IndexOutOfBoundsException - if mapOffset+N < 0 or if mapOffset+N >= indexMap.length, or if f(N)=offset+indexMap[mapOffset+N] is an invalid index into a, for any lane N in the vector
      See Also:

    • intoArray

      public final void intoArray(double[] a, int offset, int[] indexMap, int mapOffset, VectorMask<Double> m)
      Scatters this vector into an array of type double[], under the control of a mask, and using indexes obtained by adding a fixed offset to a series of secondary offsets from an index map. The index map is a contiguous sequence of VLENGTH elements in a second array of ints, starting at a given mapOffset.

      For each vector lane, where N is the vector lane index, if the mask lane at index N is set then the lane element at index N is stored into the array element a[f(N)], where f(N) is the index mapping expression offset + indexMap[mapOffset + N]].

      Parameters:
      a - the array
      offset - an offset to combine with the index map offsets
      indexMap - the index map
      mapOffset - the offset into the index map
      m - the mask
      Throws:
      IndexOutOfBoundsException - if mapOffset+N < 0 or if mapOffset+N >= indexMap.length, or if f(N)=offset+indexMap[mapOffset+N] is an invalid index into a, for any lane N in the vector where the mask is set
      See Also:

    • intoMemorySegment

      public final void intoMemorySegment(MemorySegmentPREVIEW ms, long offset, ByteOrder bo)
      Stores this vector into a memory segmentPREVIEW starting at an offset using explicit byte order.

      Bytes are extracted from primitive lane elements according to the specified byte ordering. The lanes are stored according to their memory ordering.

      This method behaves as if it calls intoMemorySegment()PREVIEW as follows: 

      
 var m = maskAll(true);
 intoMemorySegment(ms, offset, bo, m);
      Specified by:
      intoMemorySegment in class Vector<Double>
      Parameters:
      ms - the memory segment
      offset - the offset into the memory segment
      bo - the intended byte order
      Since:
      19

    • intoMemorySegment

      public final void intoMemorySegment(MemorySegmentPREVIEW ms, long offset, ByteOrder bo, VectorMask<Double> m)
      Stores this vector into a memory segmentPREVIEW starting at an offset using explicit byte order and a mask.

      Bytes are extracted from primitive lane elements according to the specified byte ordering. The lanes are stored according to their memory ordering.

      The following pseudocode illustrates the behavior, where JAVA_E is the layout of the primitive element type, ETYPE is the primitive element type, and EVector is the primitive vector type for this vector: 

      
 ETYPE[] a = this.toArray();
 var slice = ms.asSlice(offset)
 for (int n = 0; n < a.length; n++) {
     if (m.laneIsSet(n)) {
         slice.setAtIndex(ValueLayout.JAVA_E.withBitAlignment(8), n);
     }
 }
      Specified by:
      intoMemorySegment in class Vector<Double>
      Parameters:
      ms - the memory segment
      offset - the offset into the memory segment
      bo - the intended byte order
      m - the mask controlling lane selection
      Since:
      19

    • reinterpretAsBytes

      public final ByteVector reinterpretAsBytes()
      Views this vector as a vector of the same shape and contents but a lane type of byte, where the bytes are extracted from the lanes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(byte.class)). It may be considered an inverse to the various methods which consolidate bytes into larger lanes within the same vector, such as Vector.reinterpretAsInts().
      Specified by:
      reinterpretAsBytes in class Vector<Double>
      Returns:
      a ByteVector with the same shape and information content
      See Also:

    • viewAsIntegralLanes

      public final LongVector viewAsIntegralLanes()
      Views this vector as a vector of the same shape, length, and contents, but a lane type that is not a floating-point type. This is a lane-wise reinterpretation cast on the lane values. As such, this method does not change VSHAPE or VLENGTH, and there is no change to the bitwise contents of the vector. If the vector's ETYPE is already an integral type, the same vector is returned unchanged. This method returns the value of this expression: convert(conv,0), where conv is VectorOperators.Conversion.ofReinterpret(E.class,F.class), and F is the non-floating-point type of the same size as E.
      Specified by:
      viewAsIntegralLanes in class Vector<Double>
      Returns:
      the original vector, reinterpreted as non-floating point
      See Also:

    • viewAsFloatingLanes

      public final DoubleVector viewAsFloatingLanes()
      Views this vector as a vector of the same shape, length, and contents, but a lane type that is a floating-point type. This is a lane-wise reinterpretation cast on the lane values. As such, there this method does not change VSHAPE or VLENGTH, and there is no change to the bitwise contents of the vector. If the vector's ETYPE is already a float-point type, the same vector is returned unchanged. If the vector's element size does not match any floating point type size, an IllegalArgumentException is thrown. This method returns the value of this expression: convert(conv,0), where conv is VectorOperators.Conversion.ofReinterpret(E.class,F.class), and F is the floating-point type of the same size as E, if any.
      Specified by:
      viewAsFloatingLanes in class Vector<Double>
      Returns:
      the original vector, reinterpreted as floating point
      See Also:

    • toString

      public final String toString()
      Returns a string representation of this vector, of the form "[0,1,2...]", reporting the lane values of this vector, in lane order. The string is produced as if by a call to Arrays.toString(), as appropriate to the double array returned by this.toArray().
      Specified by:
      toString in class Vector<Double>
      Returns:
      a string of the form "[0,1,2...]" reporting the lane values of this vector

    • equals

      public final boolean equals(Object obj)
      Indicates whether this vector is identical to some other object. Two vectors are identical only if they have the same species and same lane values, in the same order.

      The comparison of lane values is produced as if by a call to Arrays.equals(), as appropriate to the arrays returned by toArray() on both vectors.

      Specified by:
      equals in class Vector<Double>
      Parameters:
      obj - the reference object with which to compare.
      Returns:
      whether this vector is identical to some other object
      See Also:

    • hashCode

      public final int hashCode()
      Returns a hash code value for the vector. based on the lane values and the vector species.
      Specified by:
      hashCode in class Vector<Double>
      Returns:
      a hash code value for this vector
      See Also:

    • species

      public final VectorSpecies<Double> species()
      Description copied from class: Vector
      Returns the species of this vector.
      Specified by:
      species in class Vector<E>
      Returns:
      the species of this vector

    • check

      public final <F> Vector<F> check(VectorSpecies<F> species)
      Description copied from class: Vector
      Checks that this vector has the given species, and returns this vector unchanged. The effect is similar to this pseudocode: species == species() ? this : throw new ClassCastException().
      Specified by:
      check in class Vector<E>
      Type Parameters:
      F - the boxed element type of the required species
      Parameters:
      species - the required species
      Returns:
      the same vector
      See Also:

    • check

      public final <F> Vector<F> check(Class<F> elementType)
      Checks that this vector has the given element type, and returns this vector unchanged. The effect is similar to this pseudocode: elementType == species().elementType() ? this : throw new ClassCastException().
      Specified by:
      check in class Vector<E>
      Type Parameters:
      F - the boxed element type of the required lane type
      Parameters:
      elementType - the required lane type
      Returns:
      the same vector
      See Also:

    • maskAll

      public final VectorMask<Double> maskAll(boolean bit)
      Returns a mask of same species as this vector, where each lane is set or unset according to given single boolean, which is broadcast to all lanes.

      This method returns the value of this expression: species().maskAll(bit).

      Specified by:
      maskAll in class Vector<E>
      Parameters:
      bit - the given mask bit to be replicated
      Returns:
      a mask where each lane is set or unset according to the given bit
      See Also:

    • reinterpretAsShorts

      public ShortVector reinterpretAsShorts()
      Reinterprets this vector as a vector of the same shape and contents but a lane type of short, where the lanes are assembled from successive bytes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(short.class)). It may be considered an inverse to Vector.reinterpretAsBytes().
      Specified by:
      reinterpretAsShorts in class Vector<E>
      Returns:
      a ShortVector with the same shape and information content

    • reinterpretAsInts

      public IntVector reinterpretAsInts()
      Reinterprets this vector as a vector of the same shape and contents but a lane type of int, where the lanes are assembled from successive bytes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(int.class)). It may be considered an inverse to Vector.reinterpretAsBytes().
      Specified by:
      reinterpretAsInts in class Vector<E>
      Returns:
      a IntVector with the same shape and information content

    • reinterpretAsLongs

      public LongVector reinterpretAsLongs()
      Reinterprets this vector as a vector of the same shape and contents but a lane type of long, where the lanes are assembled from successive bytes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(long.class)). It may be considered an inverse to Vector.reinterpretAsBytes().
      Specified by:
      reinterpretAsLongs in class Vector<E>
      Returns:
      a LongVector with the same shape and information content

    • reinterpretAsFloats

      public FloatVector reinterpretAsFloats()
      Reinterprets this vector as a vector of the same shape and contents but a lane type of float, where the lanes are assembled from successive bytes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(float.class)). It may be considered an inverse to Vector.reinterpretAsBytes().
      Specified by:
      reinterpretAsFloats in class Vector<E>
      Returns:
      a FloatVector with the same shape and information content

    • reinterpretAsDoubles

      public DoubleVector reinterpretAsDoubles()
      Reinterprets this vector as a vector of the same shape and contents but a lane type of double, where the lanes are assembled from successive bytes according to little-endian order. It is a convenience method for the expression reinterpretShape(species().withLanes(double.class)). It may be considered an inverse to Vector.reinterpretAsBytes().
      Specified by:
      reinterpretAsDoubles in class Vector<E>
      Returns:
      a DoubleVector with the same shape and information content

    • convert

      public final <F> Vector<F> convert(VectorOperators.Conversion<Double,F> conv, int part)
      Convert this vector to a vector of the same shape and a new element type, converting lane values from the current ETYPE to a new lane type (called FTYPE here) according to the indicated conversion. This is a lane-wise shape-invariant operation which copies ETYPE values from the input vector to corresponding FTYPE values in the result. Depending on the selected conversion, this operation may either expand or contract its logical result, in which case a non-zero part number can further control the selection and steering of the logical result into the physical output vector.

      Each specific conversion is described by a conversion constant in the class VectorOperators. Each conversion operator has a specified domain type and range type. The domain type must exactly match the lane type of the input vector, while the range type determines the lane type of the output vectors.

      A conversion operator may be classified as (respectively) in-place, expanding, or contracting, depending on whether the bit-size of its domain type is (respectively) equal, less than, or greater than the bit-size of its range type.

      Independently, conversion operations can also be classified as reinterpreting or value-transforming, depending on whether the conversion copies representation bits unchanged, or changes the representation bits in order to retain (part or all of) the logical value of the input value.

      If a reinterpreting conversion contracts, it will truncate the upper bits of the input. If it expands, it will pad upper bits of the output with zero bits, when there are no corresponding input bits.

      An expanding conversion such as S2I (short value to int) takes a scalar value and represents it in a larger format (always with some information redundancy). A contracting conversion such as D2F (double value to float) takes a scalar value and represents it in a smaller format (always with some information loss). Some in-place conversions may also include information loss, such as L2D (long value to double) or F2I (float value to int). Reinterpreting in-place conversions are not lossy, unless the bitwise value is somehow not legal in the output type. Converting the bit-pattern of a NaN may discard bits from the NaN's significand.

      This classification is important, because, unless otherwise documented, conversion operations never change vector shape, regardless of how they may change lane sizes. Therefore an expanding conversion cannot store all of its results in its output vector, because the output vector has fewer lanes of larger size, in order to have the same overall bit-size as its input. Likewise, a contracting conversion must store its relatively small results into a subset of the lanes of the output vector, defaulting the unused lanes to zero.

      As an example, a conversion from byte to long (M=8) will discard 87.5% of the input values in order to convert the remaining 12.5% into the roomy long lanes of the output vector. The inverse conversion will convert back all of the large results, but will waste 87.5% of the lanes in the output vector. In-place conversions (M=1) deliver all of their results in one output vector, without wasting lanes.

      To manage the details of these expansions and contractions, a non-zero part parameter selects partial results from expansions, or steers the results of contractions into corresponding locations, as follows:

      • expanding by M: part must be in the range [0..M-1], and selects the block of VLENGTH/M input lanes starting at the origin lane at part*VLENGTH/M.

        The VLENGTH/M output lanes represent a partial slice of the whole logical result of the conversion, filling the entire physical output vector.

      • contracting by M: part must be in the range [-M+1..0], and steers all VLENGTH input lanes into the output located at the origin lane -part*VLENGTH. There is a total of VLENGTH*M output lanes, and those not holding converted input values are filled with zeroes.

        A group of such output vectors, with logical result parts steered to disjoint blocks, can be reassembled using the bitwise or or (for floating point) the FIRST_NONZERO operator.

      • in-place (M=1): part must be zero. Both vectors have the same VLENGTH. The result is always positioned at the origin lane of zero.

      This method is a restricted version of the more general but less frequently used shape-changing method convertShape(). The result of this method is the same as the expression this.convertShape(conv, rsp, this.broadcast(part)), where the output species is rsp=this.species().withLanes(FTYPE.class).

      Specified by:
      convert in class Vector<E>
      Type Parameters:
      F - the boxed element type of the species
      Parameters:
      conv - the desired scalar conversion to apply lane-wise
      part - the part number of the result, or zero if neither expanding nor contracting
      Returns:
      a vector converted by shape and element type from this vector
      See Also:

    • castShape

      public final <F> Vector<F> castShape(VectorSpecies<F> toSpecies, int part)
      Convenience method for converting a vector from one lane type to another, reshaping as needed when lane sizes change. This method returns the value of this expression: convertShape(conv,rsp,part), where conv is VectorOperators.Conversion.ofCast(E.class,F.class).

      If the old and new species have different shape, this is a shape-changing operation, and may have special implementation costs.

      Specified by:
      castShape in class Vector<E>
      Type Parameters:
      F - the boxed element type of the output species
      Parameters:
      toSpecies - the desired output species
      part - the part number of the result, or zero if neither expanding nor contracting
      Returns:
      a vector converted by element type from this vector
      See Also:

    • convertShape

      public abstract <F> Vector<F> convertShape(VectorOperators.Conversion<Double,F> conv, VectorSpecies<F> rsp, int part)
      Converts this vector to a vector of the given species, shape and element type, converting lane values from the current ETYPE to a new lane type (called FTYPE here) according to the indicated conversion. This is a lane-wise operation which copies ETYPE values from the input vector to corresponding FTYPE values in the result.

      If the old and new species have the same shape, the behavior is exactly the same as the simpler, shape-invariant method convert(). In such cases, the simpler method convert() should be used, to make code easier to reason about. Otherwise, this is a shape-changing operation, and may have special implementation costs.

      As a combined effect of shape changes and lane size changes, the input and output species may have different lane counts, causing expansion or contraction. In this case a non-zero part parameter selects partial results from an expanded logical result, or steers the results of a contracted logical result into a physical output vector of the required output species.

      The following pseudocode illustrates the behavior of this method for in-place, expanding, and contracting conversions. (This pseudocode also applies to the shape-invariant method, but with shape restrictions on the output species.) Note that only one of the three code paths is relevant to any particular combination of conversion operator and shapes. 

      
 FTYPE scalar_conversion_op(ETYPE s);
 EVector a = ...;
 VectorSpecies<F> rsp = ...;
 int part = ...;
 VectorSpecies<E> dsp = a.species();
 int domlen = dsp.length();
 int ranlen = rsp.length();
 FTYPE[] logical = new FTYPE[domlen];
 for (int i = 0; i < domlen; i++) {
   logical[i] = scalar_conversion_op(a.lane(i));
 }
 FTYPE[] physical;
 if (domlen == ranlen) { // in-place
     assert part == 0; //else AIOOBE
     physical = logical;
 } else if (domlen > ranlen) { // expanding
     int M = domlen / ranlen;
     assert 0 <= part && part < M; //else AIOOBE
     int origin = part * ranlen;
     physical = Arrays.copyOfRange(logical, origin, origin + ranlen);
 } else { // (domlen < ranlen) // contracting
     int M = ranlen / domlen;
     assert 0 >= part && part > -M; //else AIOOBE
     int origin = -part * domlen;
     System.arraycopy(logical, 0, physical, origin, domlen);
 }
 return FVector.fromArray(ran, physical, 0);
      Specified by:
      convertShape in class Vector<E>
      Type Parameters:
      F - the boxed element type of the output species
      Parameters:
      conv - the desired scalar conversion to apply lane-wise
      rsp - the desired output species
      part - the part number of the result, or zero if neither expanding nor contracting
      Returns:
      a vector converted by element type from this vector
      See Also:

    • getPayload

      protected final Object getPayload()