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src/jdk.incubator.vector/share/classes/jdk/incubator/vector/FloatVector.java
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rev 54658 : refactored mask and shuffle creation methods, moved classes to top-level
rev 54660 : Javadoc changes
*** 123,152 ****
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies<Float>, ByteBuffer, int, VectorMask) method} as follows:
* <pre>{@code
! * return this.fromByteBuffer(ByteBuffer.wrap(a), i, this.maskAllTrue());
* }</pre>
*
* @param species species of desired vector
* @param a the byte array
! * @param ix the offset into the array
* @return a vector loaded from a byte array
* @throws IndexOutOfBoundsException if {@code i < 0} or
! * {@code i > a.length - (this.length() * this.elementSize() / Byte.SIZE)}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int ix) {
Objects.requireNonNull(a);
! ix = VectorIntrinsics.checkIndex(ix, a.length, species.bitSize() / Byte.SIZE);
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! a, ((long) ix) + Unsafe.ARRAY_BYTE_BASE_OFFSET,
! a, ix, species,
(c, idx, s) -> {
ByteBuffer bbc = ByteBuffer.wrap(c, idx, a.length - idx).order(ByteOrder.nativeOrder());
FloatBuffer tb = bbc.asFloatBuffer();
return ((FloatSpecies)s).op(i -> tb.get());
});
--- 123,152 ----
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies, ByteBuffer, int, VectorMask) method} as follows:
* <pre>{@code
! * return fromByteBuffer(species, ByteBuffer.wrap(a), offset, VectorMask.allTrue());
* }</pre>
*
* @param species species of desired vector
* @param a the byte array
! * @param offset the offset into the array
* @return a vector loaded from a byte array
* @throws IndexOutOfBoundsException if {@code i < 0} or
! * {@code offset > a.length - (species.length() * species.elementSize() / Byte.SIZE)}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int offset) {
Objects.requireNonNull(a);
! offset = VectorIntrinsics.checkIndex(offset, a.length, species.bitSize() / Byte.SIZE);
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! a, ((long) offset) + Unsafe.ARRAY_BYTE_BASE_OFFSET,
! a, offset, species,
(c, idx, s) -> {
ByteBuffer bbc = ByteBuffer.wrap(c, idx, a.length - idx).order(ByteOrder.nativeOrder());
FloatBuffer tb = bbc.asFloatBuffer();
return ((FloatSpecies)s).op(i -> tb.get());
});
*** 159,309 ****
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform.
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies<Float>, ByteBuffer, int, VectorMask) method} as follows:
* <pre>{@code
! * return this.fromByteBuffer(ByteBuffer.wrap(a), i, m);
* }</pre>
*
* @param species species of desired vector
* @param a the byte array
! * @param ix the offset into the array
* @param m the mask
* @return a vector loaded from a byte array
! * @throws IndexOutOfBoundsException if {@code i < 0} or
! * {@code i > a.length - (this.length() * this.elementSize() / Byte.SIZE)}
! * @throws IndexOutOfBoundsException if the offset is {@code < 0},
! * or {@code > a.length},
* for any vector lane index {@code N} where the mask at lane {@code N}
* is set
! * {@code i >= a.length - (N * this.elementSize() / Byte.SIZE)}
*/
@ForceInline
! public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int ix, VectorMask<Float> m) {
! return zero(species).blend(fromByteArray(species, a, ix), m);
}
/**
* Loads a vector from an array starting at offset.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
! * array element at index {@code i + N} is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param i the offset into the array
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code i < 0}, or
! * {@code i > a.length - this.length()}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int i){
Objects.requireNonNull(a);
! i = VectorIntrinsics.checkIndex(i, a.length, species.length());
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! a, (((long) i) << ARRAY_SHIFT) + Unsafe.ARRAY_FLOAT_BASE_OFFSET,
! a, i, species,
(c, idx, s) -> ((FloatSpecies)s).op(n -> c[idx + n]));
}
/**
* Loads a vector from an array starting at offset and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the array element at
! * index {@code i + N} is placed into the resulting vector at lane index
* {@code N}, otherwise the default element value is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param i the offset into the array
* @param m the mask
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code i < 0}, or
* for any vector lane index {@code N} where the mask at lane {@code N}
! * is set {@code i > a.length - N}
*/
@ForceInline
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int i, VectorMask<Float> m) {
! return zero(species).blend(fromArray(species, a, i), m);
}
/**
* Loads a vector from an array using indexes obtained from an index
* map.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
! * array element at index {@code i + indexMap[j + N]} is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param i the offset into the array, may be negative if relative
* indexes in the index map compensate to produce a value within the
* array bounds
* @param indexMap the index map
! * @param j the offset into the index map
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code j < 0}, or
! * {@code j > indexMap.length - this.length()},
* or for any vector lane index {@code N} the result of
! * {@code i + indexMap[j + N]} is {@code < 0} or {@code >= a.length}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int i, int[] indexMap, int j) {
Objects.requireNonNull(a);
Objects.requireNonNull(indexMap);
! // Index vector: vix[0:n] = k -> i + indexMap[j + k]
! IntVector vix = IntVector.fromArray(IntVector.species(species.indexShape()), indexMap, j).add(i);
vix = VectorIntrinsics.checkIndex(vix, a.length);
return VectorIntrinsics.loadWithMap((Class<FloatVector>) species.boxType(), float.class, species.length(),
IntVector.species(species.indexShape()).boxType(), a, Unsafe.ARRAY_FLOAT_BASE_OFFSET, vix,
! a, i, indexMap, j, species,
(float[] c, int idx, int[] iMap, int idy, VectorSpecies<Float> s) ->
((FloatSpecies)s).op(n -> c[idx + iMap[idy+n]]));
}
/**
* Loads a vector from an array using indexes obtained from an index
* map and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the array element at
! * index {@code i + indexMap[j + N]} is placed into the resulting vector
* at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param i the offset into the array, may be negative if relative
* indexes in the index map compensate to produce a value within the
* array bounds
* @param m the mask
* @param indexMap the index map
! * @param j the offset into the index map
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code j < 0}, or
! * {@code j > indexMap.length - this.length()},
* or for any vector lane index {@code N} where the mask at lane
! * {@code N} is set the result of {@code i + indexMap[j + N]} is
* {@code < 0} or {@code >= a.length}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int i, VectorMask<Float> m, int[] indexMap, int j) {
// @@@ This can result in out of bounds errors for unset mask lanes
! return zero(species).blend(fromArray(species, a, i, indexMap, j), m);
}
/**
* Loads a vector from a {@link ByteBuffer byte buffer} starting at an
--- 159,306 ----
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform.
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies, ByteBuffer, int, VectorMask) method} as follows:
* <pre>{@code
! * return fromByteBuffer(species, ByteBuffer.wrap(a), offset, m);
* }</pre>
*
* @param species species of desired vector
* @param a the byte array
! * @param offset the offset into the array
* @param m the mask
* @return a vector loaded from a byte array
! * @throws IndexOutOfBoundsException if {@code offset < 0} or
* for any vector lane index {@code N} where the mask at lane {@code N}
* is set
! * {@code offset >= a.length - (N * species.elementSize() / Byte.SIZE)}
*/
@ForceInline
! public static FloatVector fromByteArray(VectorSpecies<Float> species, byte[] a, int offset, VectorMask<Float> m) {
! return zero(species).blend(fromByteArray(species, a, offset), m);
}
/**
* Loads a vector from an array starting at offset.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
! * array element at index {@code offset + N} is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param offset the offset into the array
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code offset < 0}, or
! * {@code offset > a.length - species.length()}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int offset){
Objects.requireNonNull(a);
! offset = VectorIntrinsics.checkIndex(offset, a.length, species.length());
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! a, (((long) offset) << ARRAY_SHIFT) + Unsafe.ARRAY_FLOAT_BASE_OFFSET,
! a, offset, species,
(c, idx, s) -> ((FloatSpecies)s).op(n -> c[idx + n]));
}
/**
* Loads a vector from an array starting at offset and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the array element at
! * index {@code offset + N} is placed into the resulting vector at lane index
* {@code N}, otherwise the default element value is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param offset the offset into the array
* @param m the mask
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code offset < 0}, or
* for any vector lane index {@code N} where the mask at lane {@code N}
! * is set {@code offset > a.length - N}
*/
@ForceInline
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int offset, VectorMask<Float> m) {
! return zero(species).blend(fromArray(species, a, offset), m);
}
/**
* Loads a vector from an array using indexes obtained from an index
* map.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
! * array element at index {@code a_offset + indexMap[i_offset + N]} is placed into the
* resulting vector at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param a_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
* @param indexMap the index map
! * @param i_offset the offset into the index map
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code i_offset < 0}, or
! * {@code i_offset > indexMap.length - species.length()},
* or for any vector lane index {@code N} the result of
! * {@code a_offset + indexMap[i_offset + N]} is {@code < 0} or {@code >= a.length}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int a_offset, int[] indexMap, int i_offset) {
Objects.requireNonNull(a);
Objects.requireNonNull(indexMap);
! // Index vector: vix[0:n] = k -> a_offset + indexMap[i_offset + k]
! IntVector vix = IntVector.fromArray(IntVector.species(species.indexShape()), indexMap, i_offset).add(a_offset);
vix = VectorIntrinsics.checkIndex(vix, a.length);
return VectorIntrinsics.loadWithMap((Class<FloatVector>) species.boxType(), float.class, species.length(),
IntVector.species(species.indexShape()).boxType(), a, Unsafe.ARRAY_FLOAT_BASE_OFFSET, vix,
! a, a_offset, indexMap, i_offset, species,
(float[] c, int idx, int[] iMap, int idy, VectorSpecies<Float> s) ->
((FloatSpecies)s).op(n -> c[idx + iMap[idy+n]]));
}
/**
* Loads a vector from an array using indexes obtained from an index
* map and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the array element at
! * index {@code a_offset + indexMap[i_offset + N]} is placed into the resulting vector
* at lane index {@code N}.
*
* @param species species of desired vector
* @param a the array
! * @param a_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
* @param m the mask
* @param indexMap the index map
! * @param i_offset the offset into the index map
* @return the vector loaded from an array
! * @throws IndexOutOfBoundsException if {@code i_offset < 0}, or
! * {@code i_offset > indexMap.length - species.length()},
* or for any vector lane index {@code N} where the mask at lane
! * {@code N} is set the result of {@code a_offset + indexMap[i_offset + N]} is
* {@code < 0} or {@code >= a.length}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromArray(VectorSpecies<Float> species, float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset) {
// @@@ This can result in out of bounds errors for unset mask lanes
! return zero(species).blend(fromArray(species, a, a_offset, indexMap, i_offset), m);
}
/**
* Loads a vector from a {@link ByteBuffer byte buffer} starting at an
*** 312,346 ****
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform.
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies<Float>, ByteBuffer, int, VectorMask)} method} as follows:
* <pre>{@code
! * return this.fromByteBuffer(b, i, this.maskAllTrue())
* }</pre>
*
* @param species species of desired vector
* @param bb the byte buffer
! * @param ix the offset into the byte buffer
* @return a vector loaded from a byte buffer
* @throws IndexOutOfBoundsException if the offset is {@code < 0},
* or {@code > b.limit()},
* or if there are fewer than
! * {@code this.length() * this.elementSize() / Byte.SIZE} bytes
* remaining in the byte buffer from the given offset
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int ix) {
if (bb.order() != ByteOrder.nativeOrder()) {
throw new IllegalArgumentException();
}
! ix = VectorIntrinsics.checkIndex(ix, bb.limit(), species.bitSize() / Byte.SIZE);
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! U.getReference(bb, BYTE_BUFFER_HB), U.getLong(bb, BUFFER_ADDRESS) + ix,
! bb, ix, species,
(c, idx, s) -> {
ByteBuffer bbc = c.duplicate().position(idx).order(ByteOrder.nativeOrder());
FloatBuffer tb = bbc.asFloatBuffer();
return ((FloatSpecies)s).op(i -> tb.get());
});
--- 309,343 ----
* Bytes are composed into primitive lane elements according to the
* native byte order of the underlying platform.
* <p>
* This method behaves as if it returns the result of calling the
* byte buffer, offset, and mask accepting
! * {@link #fromByteBuffer(VectorSpecies, ByteBuffer, int, VectorMask)} method} as follows:
* <pre>{@code
! * return fromByteBuffer(b, offset, VectorMask.allTrue())
* }</pre>
*
* @param species species of desired vector
* @param bb the byte buffer
! * @param offset the offset into the byte buffer
* @return a vector loaded from a byte buffer
* @throws IndexOutOfBoundsException if the offset is {@code < 0},
* or {@code > b.limit()},
* or if there are fewer than
! * {@code species.length() * species.elementSize() / Byte.SIZE} bytes
* remaining in the byte buffer from the given offset
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset) {
if (bb.order() != ByteOrder.nativeOrder()) {
throw new IllegalArgumentException();
}
! offset = VectorIntrinsics.checkIndex(offset, bb.limit(), species.bitSize() / Byte.SIZE);
return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
! U.getReference(bb, BYTE_BUFFER_HB), U.getLong(bb, BUFFER_ADDRESS) + offset,
! bb, offset, species,
(c, idx, s) -> {
ByteBuffer bbc = c.duplicate().position(idx).order(ByteOrder.nativeOrder());
FloatBuffer tb = bbc.asFloatBuffer();
return ((FloatSpecies)s).op(i -> tb.get());
});
*** 354,478 ****
* {@link java.nio.Buffer buffer} for the primitive element type,
* according to the native byte order of the underlying platform, and
* the returned vector is loaded with a mask from a primitive array
* obtained from the primitive buffer.
* The following pseudocode expresses the behaviour, where
! * {@coce EBuffer} is the primitive buffer type, {@code e} is the
! * primitive element type, and {@code ESpecies<S>} is the primitive
* species for {@code e}:
* <pre>{@code
* EBuffer eb = b.duplicate().
! * order(ByteOrder.nativeOrder()).position(i).
* asEBuffer();
! * e[] es = new e[this.length()];
* for (int n = 0; n < t.length; n++) {
* if (m.isSet(n))
* es[n] = eb.get(n);
* }
! * Vector<E> r = ((ESpecies<S>)this).fromArray(es, 0, m);
* }</pre>
*
* @param species species of desired vector
* @param bb the byte buffer
! * @param ix the offset into the byte buffer
* @param m the mask
* @return a vector loaded from a byte buffer
* @throws IndexOutOfBoundsException if the offset is {@code < 0},
* or {@code > b.limit()},
* for any vector lane index {@code N} where the mask at lane {@code N}
* is set
! * {@code i >= b.limit() - (N * this.elementSize() / Byte.SIZE)}
*/
@ForceInline
! public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int ix, VectorMask<Float> m) {
! return zero(species).blend(fromByteBuffer(species, bb, ix), m);
}
/**
* Returns a vector where all lane elements are set to the primitive
* value {@code e}.
*
! * @param s species of the desired vector
* @param e the value
* @return a vector of vector where all lane elements are set to
* the primitive value {@code e}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector broadcast(VectorSpecies<Float> s, float e) {
return VectorIntrinsics.broadcastCoerced(
! (Class<FloatVector>) s.boxType(), float.class, s.length(),
! Float.floatToIntBits(e), s,
((bits, sp) -> ((FloatSpecies)sp).op(i -> Float.intBitsToFloat((int)bits))));
}
/**
! * Returns a vector where each lane element is set to a given
! * primitive value.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
* the primitive value at index {@code N} is placed into the resulting
* vector at lane index {@code N}.
*
! * @param s species of the desired vector
* @param es the given primitive values
! * @return a vector where each lane element is set to a given primitive
! * value
! * @throws IndexOutOfBoundsException if {@code es.length < this.length()}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector scalars(VectorSpecies<Float> s, float... es) {
Objects.requireNonNull(es);
! int ix = VectorIntrinsics.checkIndex(0, es.length, s.length());
! return VectorIntrinsics.load((Class<FloatVector>) s.boxType(), float.class, s.length(),
es, Unsafe.ARRAY_FLOAT_BASE_OFFSET,
! es, ix, s,
(c, idx, sp) -> ((FloatSpecies)sp).op(n -> c[idx + n]));
}
/**
* Returns a vector where the first lane element is set to the primtive
* value {@code e}, all other lane elements are set to the default
* value.
*
! * @param s species of the desired vector
* @param e the value
* @return a vector where the first lane element is set to the primitive
* value {@code e}
*/
@ForceInline
! public static final FloatVector single(VectorSpecies<Float> s, float e) {
! return zero(s).with(0, e);
}
/**
* Returns a vector where each lane element is set to a randomly
* generated primitive value.
*
* The semantics are equivalent to calling
* {@link ThreadLocalRandom#nextFloat()}
*
! * @param s species of the desired vector
* @return a vector where each lane elements is set to a randomly
* generated primitive value
*/
! public static FloatVector random(VectorSpecies<Float> s) {
ThreadLocalRandom r = ThreadLocalRandom.current();
! return ((FloatSpecies)s).op(i -> r.nextFloat());
}
// Ops
@Override
public abstract FloatVector add(Vector<Float> v);
/**
* Adds this vector to the broadcast of an input scalar.
* <p>
! * This is a vector binary operation where the primitive addition operation
! * ({@code +}) is applied to lane elements.
*
* @param s the input scalar
* @return the result of adding this vector to the broadcast of an input
* scalar
*/
--- 351,475 ----
* {@link java.nio.Buffer buffer} for the primitive element type,
* according to the native byte order of the underlying platform, and
* the returned vector is loaded with a mask from a primitive array
* obtained from the primitive buffer.
* The following pseudocode expresses the behaviour, where
! * {@code EBuffer} is the primitive buffer type, {@code e} is the
! * primitive element type, and {@code ESpecies} is the primitive
* species for {@code e}:
* <pre>{@code
* EBuffer eb = b.duplicate().
! * order(ByteOrder.nativeOrder()).position(offset).
* asEBuffer();
! * e[] es = new e[species.length()];
* for (int n = 0; n < t.length; n++) {
* if (m.isSet(n))
* es[n] = eb.get(n);
* }
! * EVector r = EVector.fromArray(es, 0, m);
* }</pre>
*
* @param species species of desired vector
* @param bb the byte buffer
! * @param offset the offset into the byte buffer
* @param m the mask
* @return a vector loaded from a byte buffer
* @throws IndexOutOfBoundsException if the offset is {@code < 0},
* or {@code > b.limit()},
* for any vector lane index {@code N} where the mask at lane {@code N}
* is set
! * {@code offset >= b.limit() - (N * species.elementSize() / Byte.SIZE)}
*/
@ForceInline
! public static FloatVector fromByteBuffer(VectorSpecies<Float> species, ByteBuffer bb, int offset, VectorMask<Float> m) {
! return zero(species).blend(fromByteBuffer(species, bb, offset), m);
}
/**
* Returns a vector where all lane elements are set to the primitive
* value {@code e}.
*
! * @param species species of the desired vector
* @param e the value
* @return a vector of vector where all lane elements are set to
* the primitive value {@code e}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector broadcast(VectorSpecies<Float> species, float e) {
return VectorIntrinsics.broadcastCoerced(
! (Class<FloatVector>) species.boxType(), float.class, species.length(),
! Float.floatToIntBits(e), species,
((bits, sp) -> ((FloatSpecies)sp).op(i -> Float.intBitsToFloat((int)bits))));
}
/**
! * Returns a vector where each lane element is set to given
! * primitive values.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
* the primitive value at index {@code N} is placed into the resulting
* vector at lane index {@code N}.
*
! * @param species species of the desired vector
* @param es the given primitive values
! * @return a vector where each lane element is set to given primitive
! * values
! * @throws IndexOutOfBoundsException if {@code es.length < species.length()}
*/
@ForceInline
@SuppressWarnings("unchecked")
! public static FloatVector scalars(VectorSpecies<Float> species, float... es) {
Objects.requireNonNull(es);
! int ix = VectorIntrinsics.checkIndex(0, es.length, species.length());
! return VectorIntrinsics.load((Class<FloatVector>) species.boxType(), float.class, species.length(),
es, Unsafe.ARRAY_FLOAT_BASE_OFFSET,
! es, ix, species,
(c, idx, sp) -> ((FloatSpecies)sp).op(n -> c[idx + n]));
}
/**
* Returns a vector where the first lane element is set to the primtive
* value {@code e}, all other lane elements are set to the default
* value.
*
! * @param species species of the desired vector
* @param e the value
* @return a vector where the first lane element is set to the primitive
* value {@code e}
*/
@ForceInline
! public static final FloatVector single(VectorSpecies<Float> species, float e) {
! return zero(species).with(0, e);
}
/**
* Returns a vector where each lane element is set to a randomly
* generated primitive value.
*
* The semantics are equivalent to calling
* {@link ThreadLocalRandom#nextFloat()}
*
! * @param species species of the desired vector
* @return a vector where each lane elements is set to a randomly
* generated primitive value
*/
! public static FloatVector random(VectorSpecies<Float> species) {
ThreadLocalRandom r = ThreadLocalRandom.current();
! return ((FloatSpecies)species).op(i -> r.nextFloat());
}
// Ops
@Override
public abstract FloatVector add(Vector<Float> v);
/**
* Adds this vector to the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary operation which applies the primitive addition operation
! * ({@code +}) to each lane.
*
* @param s the input scalar
* @return the result of adding this vector to the broadcast of an input
* scalar
*/
*** 483,494 ****
/**
* Adds this vector to broadcast of an input scalar,
* selecting lane elements controlled by a mask.
* <p>
! * This is a vector binary operation where the primitive addition operation
! * ({@code +}) is applied to lane elements.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of adding this vector to the broadcast of an input
* scalar
--- 480,491 ----
/**
* Adds this vector to broadcast of an input scalar,
* selecting lane elements controlled by a mask.
* <p>
! * This is a lane-wise binary operation which applies the primitive addition operation
! * ({@code +}) to each lane.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of adding this vector to the broadcast of an input
* scalar
*** 499,510 ****
public abstract FloatVector sub(Vector<Float> v);
/**
* Subtracts the broadcast of an input scalar from this vector.
* <p>
! * This is a vector binary operation where the primitive subtraction
! * operation ({@code -}) is applied to lane elements.
*
* @param s the input scalar
* @return the result of subtracting the broadcast of an input
* scalar from this vector
*/
--- 496,507 ----
public abstract FloatVector sub(Vector<Float> v);
/**
* Subtracts the broadcast of an input scalar from this vector.
* <p>
! * This is a lane-wise binary operation which applies the primitive subtraction
! * operation ({@code -}) to each lane.
*
* @param s the input scalar
* @return the result of subtracting the broadcast of an input
* scalar from this vector
*/
*** 515,526 ****
/**
* Subtracts the broadcast of an input scalar from this vector, selecting
* lane elements controlled by a mask.
* <p>
! * This is a vector binary operation where the primitive subtraction
! * operation ({@code -}) is applied to lane elements.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of subtracting the broadcast of an input
* scalar from this vector
--- 512,523 ----
/**
* Subtracts the broadcast of an input scalar from this vector, selecting
* lane elements controlled by a mask.
* <p>
! * This is a lane-wise binary operation which applies the primitive subtraction
! * operation ({@code -}) to each lane.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of subtracting the broadcast of an input
* scalar from this vector
*** 531,542 ****
public abstract FloatVector mul(Vector<Float> v);
/**
* Multiplies this vector with the broadcast of an input scalar.
* <p>
! * This is a vector binary operation where the primitive multiplication
! * operation ({@code *}) is applied to lane elements.
*
* @param s the input scalar
* @return the result of multiplying this vector with the broadcast of an
* input scalar
*/
--- 528,539 ----
public abstract FloatVector mul(Vector<Float> v);
/**
* Multiplies this vector with the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary operation which applies the primitive multiplication
! * operation ({@code *}) to each lane.
*
* @param s the input scalar
* @return the result of multiplying this vector with the broadcast of an
* input scalar
*/
*** 547,558 ****
/**
* Multiplies this vector with the broadcast of an input scalar, selecting
* lane elements controlled by a mask.
* <p>
! * This is a vector binary operation where the primitive multiplication
! * operation ({@code *}) is applied to lane elements.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of multiplying this vector with the broadcast of an
* input scalar
--- 544,555 ----
/**
* Multiplies this vector with the broadcast of an input scalar, selecting
* lane elements controlled by a mask.
* <p>
! * This is a lane-wise binary operation which applies the primitive multiplication
! * operation ({@code *}) to each lane.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of multiplying this vector with the broadcast of an
* input scalar
*** 578,589 ****
public abstract FloatVector min(Vector<Float> v, VectorMask<Float> m);
/**
* Returns the minimum of this vector and the broadcast of an input scalar.
* <p>
! * This is a vector binary operation where the operation
! * {@code (a, b) -> Math.min(a, b)} is applied to lane elements.
*
* @param s the input scalar
* @return the minimum of this vector and the broadcast of an input scalar
*/
public abstract FloatVector min(float s);
--- 575,586 ----
public abstract FloatVector min(Vector<Float> v, VectorMask<Float> m);
/**
* Returns the minimum of this vector and the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary operation which applies the operation
! * {@code (a, b) -> Math.min(a, b)} to each lane.
*
* @param s the input scalar
* @return the minimum of this vector and the broadcast of an input scalar
*/
public abstract FloatVector min(float s);
*** 595,606 ****
public abstract FloatVector max(Vector<Float> v, VectorMask<Float> m);
/**
* Returns the maximum of this vector and the broadcast of an input scalar.
* <p>
! * This is a vector binary operation where the operation
! * {@code (a, b) -> Math.max(a, b)} is applied to lane elements.
*
* @param s the input scalar
* @return the maximum of this vector and the broadcast of an input scalar
*/
public abstract FloatVector max(float s);
--- 592,603 ----
public abstract FloatVector max(Vector<Float> v, VectorMask<Float> m);
/**
* Returns the maximum of this vector and the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary operation which applies the operation
! * {@code (a, b) -> Math.max(a, b)} to each lane.
*
* @param s the input scalar
* @return the maximum of this vector and the broadcast of an input scalar
*/
public abstract FloatVector max(float s);
*** 609,620 ****
public abstract VectorMask<Float> equal(Vector<Float> v);
/**
* Tests if this vector is equal to the broadcast of an input scalar.
* <p>
! * This is a vector binary test operation where the primitive equals
! * operation ({@code ==}) is applied to lane elements.
*
* @param s the input scalar
* @return the result mask of testing if this vector is equal to the
* broadcast of an input scalar
*/
--- 606,617 ----
public abstract VectorMask<Float> equal(Vector<Float> v);
/**
* Tests if this vector is equal to the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive equals
! * operation ({@code ==}) each lane.
*
* @param s the input scalar
* @return the result mask of testing if this vector is equal to the
* broadcast of an input scalar
*/
*** 624,635 ****
public abstract VectorMask<Float> notEqual(Vector<Float> v);
/**
* Tests if this vector is not equal to the broadcast of an input scalar.
* <p>
! * This is a vector binary test operation where the primitive not equals
! * operation ({@code !=}) is applied to lane elements.
*
* @param s the input scalar
* @return the result mask of testing if this vector is not equal to the
* broadcast of an input scalar
*/
--- 621,632 ----
public abstract VectorMask<Float> notEqual(Vector<Float> v);
/**
* Tests if this vector is not equal to the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive not equals
! * operation ({@code !=}) to each lane.
*
* @param s the input scalar
* @return the result mask of testing if this vector is not equal to the
* broadcast of an input scalar
*/
*** 639,650 ****
public abstract VectorMask<Float> lessThan(Vector<Float> v);
/**
* Tests if this vector is less than the broadcast of an input scalar.
* <p>
! * This is a vector binary test operation where the primitive less than
! * operation ({@code <}) is applied to lane elements.
*
* @param s the input scalar
* @return the mask result of testing if this vector is less than the
* broadcast of an input scalar
*/
--- 636,647 ----
public abstract VectorMask<Float> lessThan(Vector<Float> v);
/**
* Tests if this vector is less than the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive less than
! * operation ({@code <}) to each lane.
*
* @param s the input scalar
* @return the mask result of testing if this vector is less than the
* broadcast of an input scalar
*/
*** 654,665 ****
public abstract VectorMask<Float> lessThanEq(Vector<Float> v);
/**
* Tests if this vector is less or equal to the broadcast of an input scalar.
* <p>
! * This is a vector binary test operation where the primitive less than
! * or equal to operation ({@code <=}) is applied to lane elements.
*
* @param s the input scalar
* @return the mask result of testing if this vector is less than or equal
* to the broadcast of an input scalar
*/
--- 651,662 ----
public abstract VectorMask<Float> lessThanEq(Vector<Float> v);
/**
* Tests if this vector is less or equal to the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive less than
! * or equal to operation ({@code <=}) to each lane.
*
* @param s the input scalar
* @return the mask result of testing if this vector is less than or equal
* to the broadcast of an input scalar
*/
*** 669,680 ****
public abstract VectorMask<Float> greaterThan(Vector<Float> v);
/**
* Tests if this vector is greater than the broadcast of an input scalar.
* <p>
! * This is a vector binary test operation where the primitive greater than
! * operation ({@code >}) is applied to lane elements.
*
* @param s the input scalar
* @return the mask result of testing if this vector is greater than the
* broadcast of an input scalar
*/
--- 666,677 ----
public abstract VectorMask<Float> greaterThan(Vector<Float> v);
/**
* Tests if this vector is greater than the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive greater than
! * operation ({@code >}) to each lane.
*
* @param s the input scalar
* @return the mask result of testing if this vector is greater than the
* broadcast of an input scalar
*/
*** 685,696 ****
/**
* Tests if this vector is greater than or equal to the broadcast of an
* input scalar.
* <p>
! * This is a vector binary test operation where the primitive greater than
! * or equal to operation ({@code >=}) is applied to lane elements.
*
* @param s the input scalar
* @return the mask result of testing if this vector is greater than or
* equal to the broadcast of an input scalar
*/
--- 682,693 ----
/**
* Tests if this vector is greater than or equal to the broadcast of an
* input scalar.
* <p>
! * This is a lane-wise binary test operation which applies the primitive greater than
! * or equal to operation ({@code >=}) to each lane.
*
* @param s the input scalar
* @return the mask result of testing if this vector is greater than or
* equal to the broadcast of an input scalar
*/
*** 739,761 ****
public abstract FloatVector shiftER(int i);
/**
* Divides this vector by an input vector.
* <p>
! * This is a vector binary operation where the primitive division
! * operation ({@code /}) is applied to lane elements.
*
* @param v the input vector
* @return the result of dividing this vector by the input vector
*/
public abstract FloatVector div(Vector<Float> v);
/**
* Divides this vector by the broadcast of an input scalar.
* <p>
! * This is a vector binary operation where the primitive division
! * operation ({@code /}) is applied to lane elements.
*
* @param s the input scalar
* @return the result of dividing this vector by the broadcast of an input
* scalar
*/
--- 736,758 ----
public abstract FloatVector shiftER(int i);
/**
* Divides this vector by an input vector.
* <p>
! * This is a lane-wise binary operation which applies the primitive division
! * operation ({@code /}) to each lane.
*
* @param v the input vector
* @return the result of dividing this vector by the input vector
*/
public abstract FloatVector div(Vector<Float> v);
/**
* Divides this vector by the broadcast of an input scalar.
* <p>
! * This is a lane-wise binary operation which applies the primitive division
! * operation ({@code /}) to each lane.
*
* @param s the input scalar
* @return the result of dividing this vector by the broadcast of an input
* scalar
*/
*** 763,774 ****
/**
* Divides this vector by an input vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a vector binary operation where the primitive division
! * operation ({@code /}) is applied to lane elements.
*
* @param v the input vector
* @param m the mask controlling lane selection
* @return the result of dividing this vector by the input vector
*/
--- 760,771 ----
/**
* Divides this vector by an input vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a lane-wise binary operation which applies the primitive division
! * operation ({@code /}) to each lane.
*
* @param v the input vector
* @param m the mask controlling lane selection
* @return the result of dividing this vector by the input vector
*/
*** 776,787 ****
/**
* Divides this vector by the broadcast of an input scalar, selecting lane
* elements controlled by a mask.
* <p>
! * This is a vector binary operation where the primitive division
! * operation ({@code /}) is applied to lane elements.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of dividing this vector by the broadcast of an input
* scalar
--- 773,784 ----
/**
* Divides this vector by the broadcast of an input scalar, selecting lane
* elements controlled by a mask.
* <p>
! * This is a lane-wise binary operation which applies the primitive division
! * operation ({@code /}) to each lane.
*
* @param s the input scalar
* @param m the mask controlling lane selection
* @return the result of dividing this vector by the broadcast of an input
* scalar
*** 789,811 ****
public abstract FloatVector div(float s, VectorMask<Float> m);
/**
* Calculates the square root of this vector.
* <p>
! * This is a vector unary operation where the {@link Math#sqrt} operation
! * is applied to lane elements.
*
* @return the square root of this vector
*/
public abstract FloatVector sqrt();
/**
* Calculates the square root of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a vector unary operation where the {@link Math#sqrt} operation
! * is applied to lane elements.
*
* @param m the mask controlling lane selection
* @return the square root of this vector
*/
public FloatVector sqrt(VectorMask<Float> m) {
--- 786,808 ----
public abstract FloatVector div(float s, VectorMask<Float> m);
/**
* Calculates the square root of this vector.
* <p>
! * This is a lane-wise unary operation which applies the {@link Math#sqrt} operation
! * to each lane.
*
* @return the square root of this vector
*/
public abstract FloatVector sqrt();
/**
* Calculates the square root of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a lane-wise unary operation which applies the {@link Math#sqrt} operation
! * to each lane.
*
* @param m the mask controlling lane selection
* @return the square root of this vector
*/
public FloatVector sqrt(VectorMask<Float> m) {
*** 813,824 ****
}
/**
* Calculates the trigonometric tangent of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#tan} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#tan}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#tan}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 810,821 ----
}
/**
* Calculates the trigonometric tangent of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#tan} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#tan}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#tan}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 844,855 ****
}
/**
* Calculates the hyperbolic tangent of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#tanh} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#tanh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#tanh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
--- 841,852 ----
}
/**
* Calculates the hyperbolic tangent of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#tanh} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#tanh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#tanh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
*** 875,886 ****
}
/**
* Calculates the trigonometric sine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#sin} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#sin}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#sin}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 872,883 ----
}
/**
* Calculates the trigonometric sine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#sin} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#sin}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#sin}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 906,917 ****
}
/**
* Calculates the hyperbolic sine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#sinh} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#sinh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#sinh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
--- 903,914 ----
}
/**
* Calculates the hyperbolic sine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#sinh} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#sinh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#sinh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
*** 937,948 ****
}
/**
* Calculates the trigonometric cosine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#cos} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#cos}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cos}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 934,945 ----
}
/**
* Calculates the trigonometric cosine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#cos} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#cos}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cos}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 968,979 ****
}
/**
* Calculates the hyperbolic cosine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#cosh} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#cosh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cosh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
--- 965,976 ----
}
/**
* Calculates the hyperbolic cosine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#cosh} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#cosh}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cosh}
* specifications. The computed result will be within 2.5 ulps of the
* exact result.
*** 999,1010 ****
}
/**
* Calculates the arc sine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#asin} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#asin}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#asin}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 996,1007 ----
}
/**
* Calculates the arc sine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#asin} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#asin}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#asin}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1030,1041 ****
}
/**
* Calculates the arc cosine of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#acos} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#acos}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#acos}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1027,1038 ----
}
/**
* Calculates the arc cosine of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#acos} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#acos}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#acos}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1061,1072 ****
}
/**
* Calculates the arc tangent of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#atan} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#atan}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1058,1069 ----
}
/**
* Calculates the arc tangent of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#atan} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#atan}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1092,1103 ****
}
/**
* Calculates the arc tangent of this vector divided by an input vector.
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#atan2} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#atan2}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan2}
* specifications. The computed result will be within 2 ulps of the
* exact result.
--- 1089,1100 ----
}
/**
* Calculates the arc tangent of this vector divided by an input vector.
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#atan2} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#atan2}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan2}
* specifications. The computed result will be within 2 ulps of the
* exact result.
*** 1111,1122 ****
/**
* Calculates the arc tangent of this vector divided by the broadcast of an
* an input scalar.
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#atan2} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#atan2}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan2}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1108,1119 ----
/**
* Calculates the arc tangent of this vector divided by the broadcast of an
* an input scalar.
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#atan2} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#atan2}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#atan2}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1155,1166 ****
public abstract FloatVector atan2(float s, VectorMask<Float> m);
/**
* Calculates the cube root of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#cbrt} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#cbrt}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cbrt}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1152,1163 ----
public abstract FloatVector atan2(float s, VectorMask<Float> m);
/**
* Calculates the cube root of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#cbrt} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#cbrt}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#cbrt}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1186,1197 ****
}
/**
* Calculates the natural logarithm of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#log} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#log}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1183,1194 ----
}
/**
* Calculates the natural logarithm of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#log} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#log}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1217,1228 ****
}
/**
* Calculates the base 10 logarithm of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#log10} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#log10}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log10}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1214,1225 ----
}
/**
* Calculates the base 10 logarithm of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#log10} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#log10}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log10}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1249,1260 ****
/**
* Calculates the natural logarithm of the sum of this vector and the
* broadcast of {@code 1}.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#log1p} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#log1p}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log1p}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1246,1257 ----
/**
* Calculates the natural logarithm of the sum of this vector and the
* broadcast of {@code 1}.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#log1p} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#log1p}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#log1p}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1282,1293 ****
}
/**
* Calculates this vector raised to the power of an input vector.
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#pow} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#pow}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#pow}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1279,1290 ----
}
/**
* Calculates this vector raised to the power of an input vector.
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#pow} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#pow}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#pow}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1301,1312 ****
/**
* Calculates this vector raised to the power of the broadcast of an input
* scalar.
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#pow} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#pow}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#pow}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1298,1309 ----
/**
* Calculates this vector raised to the power of the broadcast of an input
* scalar.
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#pow} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#pow}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#pow}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1348,1359 ****
/**
* Calculates the broadcast of Euler's number {@code e} raised to the power
* of this vector.
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#exp} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#exp}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#exp}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1345,1356 ----
/**
* Calculates the broadcast of Euler's number {@code e} raised to the power
* of this vector.
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#exp} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#exp}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#exp}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1384,1398 ****
* Calculates the broadcast of Euler's number {@code e} raised to the power
* of this vector minus the broadcast of {@code -1}.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.exp().sub(this.species().broadcast(1))
* }</pre>
* <p>
! * This is a vector unary operation with same semantic definition as
! * {@link Math#expm1} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#expm1}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#expm1}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1381,1395 ----
* Calculates the broadcast of Euler's number {@code e} raised to the power
* of this vector minus the broadcast of {@code -1}.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.exp().sub(EVector.broadcast(this.species(), 1))
* }</pre>
* <p>
! * This is a lane-wise unary operation with same semantic definition as
! * {@link Math#expm1} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#expm1}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#expm1}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1409,1419 ****
* of this vector minus the broadcast of {@code -1}, selecting lane elements
* controlled by a mask
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.exp(m).sub(this.species().broadcast(1), m)
* }</pre>
* <p>
* Semantics for rounding, monotonicity, and special cases are
* described in {@link FloatVector#expm1}
*
--- 1406,1416 ----
* of this vector minus the broadcast of {@code -1}, selecting lane elements
* controlled by a mask
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.exp(m).sub(EVector.broadcast(this.species(), 1), m)
* }</pre>
* <p>
* Semantics for rounding, monotonicity, and special cases are
* described in {@link FloatVector#expm1}
*
*** 1432,1443 ****
* numerical accuracy):
* <pre>{@code
* this.mul(v1).add(v2)
* }</pre>
* <p>
! * This is a vector ternary operation where the {@link Math#fma} operation
! * is applied to lane elements.
*
* @param v1 the first input vector
* @param v2 the second input vector
* @return the product of this vector and the first input vector summed with
* the second input vector
--- 1429,1440 ----
* numerical accuracy):
* <pre>{@code
* this.mul(v1).add(v2)
* }</pre>
* <p>
! * This is a lane-wise ternary operation which applies the {@link Math#fma} operation
! * to each lane.
*
* @param v1 the first input vector
* @param v2 the second input vector
* @return the product of this vector and the first input vector summed with
* the second input vector
*** 1447,1461 ****
/**
* Calculates the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar.
* More specifically as if the following:
* <pre>{@code
! * this.fma(this.species().broadcast(s1), this.species().broadcast(s2))
* }</pre>
* <p>
! * This is a vector ternary operation where the {@link Math#fma} operation
! * is applied to lane elements.
*
* @param s1 the first input scalar
* @param s2 the second input scalar
* @return the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar
--- 1444,1458 ----
/**
* Calculates the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar.
* More specifically as if the following:
* <pre>{@code
! * this.fma(EVector.broadcast(this.species(), s1), EVector.broadcast(this.species(), s2))
* }</pre>
* <p>
! * This is a lane-wise ternary operation which applies the {@link Math#fma} operation
! * to each lane.
*
* @param s1 the first input scalar
* @param s2 the second input scalar
* @return the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar
*** 1469,1480 ****
* numerical accuracy):
* <pre>{@code
* this.mul(v1, m).add(v2, m)
* }</pre>
* <p>
! * This is a vector ternary operation where the {@link Math#fma} operation
! * is applied to lane elements.
*
* @param v1 the first input vector
* @param v2 the second input vector
* @param m the mask controlling lane selection
* @return the product of this vector and the first input vector summed with
--- 1466,1477 ----
* numerical accuracy):
* <pre>{@code
* this.mul(v1, m).add(v2, m)
* }</pre>
* <p>
! * This is a lane-wise ternary operation which applies the {@link Math#fma} operation
! * to each lane.
*
* @param v1 the first input vector
* @param v2 the second input vector
* @param m the mask controlling lane selection
* @return the product of this vector and the first input vector summed with
*** 1488,1502 ****
* Calculates the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar, selecting lane
* elements controlled by a mask
* More specifically as if the following:
* <pre>{@code
! * this.fma(this.species().broadcast(s1), this.species().broadcast(s2), m)
* }</pre>
* <p>
! * This is a vector ternary operation where the {@link Math#fma} operation
! * is applied to lane elements.
*
* @param s1 the first input scalar
* @param s2 the second input scalar
* @param m the mask controlling lane selection
* @return the product of this vector and the broadcast of a first input
--- 1485,1499 ----
* Calculates the product of this vector and the broadcast of a first input
* scalar summed with the broadcast of a second input scalar, selecting lane
* elements controlled by a mask
* More specifically as if the following:
* <pre>{@code
! * this.fma(EVector.broadcast(this.species(), s1), EVector.broadcast(this.species(), s2), m)
* }</pre>
* <p>
! * This is a lane-wise ternary operation which applies the {@link Math#fma} operation
! * to each lane.
*
* @param s1 the first input scalar
* @param s2 the second input scalar
* @param m the mask controlling lane selection
* @return the product of this vector and the broadcast of a first input
*** 1511,1522 ****
* numerical accuracy):
* <pre>{@code
* this.mul(this).add(v.mul(v)).sqrt()
* }</pre>
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#hypot} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#hypot}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#hypot}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1508,1519 ----
* numerical accuracy):
* <pre>{@code
* this.mul(this).add(v.mul(v)).sqrt()
* }</pre>
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#hypot} operation applied to each lane.
* The implementation is not required to return same
* results as {@link Math#hypot}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#hypot}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1533,1547 ****
* Calculates square root of the sum of the squares of this vector and the
* broadcast of an input scalar.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.mul(this).add(this.species().broadcast(v * v)).sqrt()
* }</pre>
* <p>
! * This is a vector binary operation with same semantic definition as
! * {@link Math#hypot} operation applied to lane elements.
* The implementation is not required to return same
* results as {@link Math#hypot}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#hypot}
* specifications. The computed result will be within 1 ulp of the
* exact result.
--- 1530,1544 ----
* Calculates square root of the sum of the squares of this vector and the
* broadcast of an input scalar.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.mul(this).add(EVector.broadcast(this.species(), s * s)).sqrt()
* }</pre>
* <p>
! * This is a lane-wise binary operation with same semantic definition as
! * {@link Math#hypot} operation applied to each.
* The implementation is not required to return same
* results as {@link Math#hypot}, but adheres to rounding, monotonicity,
* and special case semantics as defined in the {@link Math#hypot}
* specifications. The computed result will be within 1 ulp of the
* exact result.
*** 1578,1588 ****
* broadcast of an input scalar, selecting lane elements controlled by a
* mask.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.mul(this, m).add(this.species().broadcast(v * v), m).sqrt(m)
* }</pre>
* <p>
* Semantics for rounding, monotonicity, and special cases are
* described in {@link FloatVector#hypot}
*
--- 1575,1585 ----
* broadcast of an input scalar, selecting lane elements controlled by a
* mask.
* More specifically as if the following (ignoring any differences in
* numerical accuracy):
* <pre>{@code
! * this.mul(this, m).add(EVector.broadcast(this.species(), s * s), m).sqrt(m)
* }</pre>
* <p>
* Semantics for rounding, monotonicity, and special cases are
* described in {@link FloatVector#hypot}
*
*** 1609,1620 ****
// Type specific horizontal reductions
/**
* Adds all lane elements of this vector.
* <p>
! * This is a vector reduction operation where the addition
! * operation ({@code +}) is applied to lane elements,
* and the identity value is {@code 0.0}.
*
* <p>The value of a floating-point sum is a function both of the input values as well
* as the order of addition operations. The order of addition operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
--- 1606,1617 ----
// Type specific horizontal reductions
/**
* Adds all lane elements of this vector.
* <p>
! * This is a cross-lane reduction operation which applies the addition
! * operation ({@code +}) to lane elements,
* and the identity value is {@code 0.0}.
*
* <p>The value of a floating-point sum is a function both of the input values as well
* as the order of addition operations. The order of addition operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
*** 1630,1641 ****
/**
* Adds all lane elements of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a vector reduction operation where the addition
! * operation ({@code +}) is applied to lane elements,
* and the identity value is {@code 0.0}.
*
* <p>The value of a floating-point sum is a function both of the input values as well
* as the order of addition operations. The order of addition operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
--- 1627,1638 ----
/**
* Adds all lane elements of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a cross-lane reduction operation which applies the addition
! * operation ({@code +}) to lane elements,
* and the identity value is {@code 0.0}.
*
* <p>The value of a floating-point sum is a function both of the input values as well
* as the order of addition operations. The order of addition operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
*** 1651,1662 ****
public abstract float addAll(VectorMask<Float> m);
/**
* Multiplies all lane elements of this vector.
* <p>
! * This is a vector reduction operation where the
! * multiplication operation ({@code *}) is applied to lane elements,
* and the identity value is {@code 1.0}.
*
* <p>The order of multiplication operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
* code for the underlying platform at runtime. If the platform supports a vector
--- 1648,1659 ----
public abstract float addAll(VectorMask<Float> m);
/**
* Multiplies all lane elements of this vector.
* <p>
! * This is a cross-lane reduction operation which applies the
! * multiplication operation ({@code *}) to lane elements,
* and the identity value is {@code 1.0}.
*
* <p>The order of multiplication operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
* code for the underlying platform at runtime. If the platform supports a vector
*** 1671,1682 ****
/**
* Multiplies all lane elements of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a vector reduction operation where the
! * multiplication operation ({@code *}) is applied to lane elements,
* and the identity value is {@code 1.0}.
*
* <p>The order of multiplication operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
* code for the underlying platform at runtime. If the platform supports a vector
--- 1668,1679 ----
/**
* Multiplies all lane elements of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is a cross-lane reduction operation which applies the
! * multiplication operation ({@code *}) to lane elements,
* and the identity value is {@code 1.0}.
*
* <p>The order of multiplication operations of this method
* is intentionally not defined to allow for JVM to generate optimal machine
* code for the underlying platform at runtime. If the platform supports a vector
*** 1691,1702 ****
public abstract float mulAll(VectorMask<Float> m);
/**
* Returns the minimum lane element of this vector.
* <p>
! * This is an associative vector reduction operation where the operation
! * {@code (a, b) -> Math.min(a, b)} is applied to lane elements,
* and the identity value is
* {@link Float#POSITIVE_INFINITY}.
*
* @return the minimum lane element of this vector
*/
--- 1688,1699 ----
public abstract float mulAll(VectorMask<Float> m);
/**
* Returns the minimum lane element of this vector.
* <p>
! * This is an associative cross-lane reduction operation which applies the operation
! * {@code (a, b) -> Math.min(a, b)} to lane elements,
* and the identity value is
* {@link Float#POSITIVE_INFINITY}.
*
* @return the minimum lane element of this vector
*/
*** 1704,1715 ****
/**
* Returns the minimum lane element of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is an associative vector reduction operation where the operation
! * {@code (a, b) -> Math.min(a, b)} is applied to lane elements,
* and the identity value is
* {@link Float#POSITIVE_INFINITY}.
*
* @param m the mask controlling lane selection
* @return the minimum lane element of this vector
--- 1701,1712 ----
/**
* Returns the minimum lane element of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is an associative cross-lane reduction operation which applies the operation
! * {@code (a, b) -> Math.min(a, b)} to lane elements,
* and the identity value is
* {@link Float#POSITIVE_INFINITY}.
*
* @param m the mask controlling lane selection
* @return the minimum lane element of this vector
*** 1717,1728 ****
public abstract float minAll(VectorMask<Float> m);
/**
* Returns the maximum lane element of this vector.
* <p>
! * This is an associative vector reduction operation where the operation
! * {@code (a, b) -> Math.max(a, b)} is applied to lane elements,
* and the identity value is
* {@link Float#NEGATIVE_INFINITY}.
*
* @return the maximum lane element of this vector
*/
--- 1714,1725 ----
public abstract float minAll(VectorMask<Float> m);
/**
* Returns the maximum lane element of this vector.
* <p>
! * This is an associative cross-lane reduction operation which applies the operation
! * {@code (a, b) -> Math.max(a, b)} to lane elements,
* and the identity value is
* {@link Float#NEGATIVE_INFINITY}.
*
* @return the maximum lane element of this vector
*/
*** 1730,1741 ****
/**
* Returns the maximum lane element of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is an associative vector reduction operation where the operation
! * {@code (a, b) -> Math.max(a, b)} is applied to lane elements,
* and the identity value is
* {@link Float#NEGATIVE_INFINITY}.
*
* @param m the mask controlling lane selection
* @return the maximum lane element of this vector
--- 1727,1738 ----
/**
* Returns the maximum lane element of this vector, selecting lane elements
* controlled by a mask.
* <p>
! * This is an associative cross-lane reduction operation which applies the operation
! * {@code (a, b) -> Math.max(a, b)} to lane elements,
* and the identity value is
* {@link Float#NEGATIVE_INFINITY}.
*
* @param m the mask controlling lane selection
* @return the maximum lane element of this vector
*** 1751,1761 ****
* @param i the lane index
* @return the lane element at lane index {@code i}
* @throws IllegalArgumentException if the index is is out of range
* ({@code < 0 || >= length()})
*/
! public abstract float get(int i);
/**
* Replaces the lane element of this vector at lane index {@code i} with
* value {@code e}.
* <p>
--- 1748,1758 ----
* @param i the lane index
* @return the lane element at lane index {@code i}
* @throws IllegalArgumentException if the index is is out of range
* ({@code < 0 || >= length()})
*/
! public abstract float lane(int i);
/**
* Replaces the lane element of this vector at lane index {@code i} with
* value {@code e}.
* <p>
*** 1798,1876 ****
/**
* Stores this vector into an array starting at offset.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* the lane element at index {@code N} is stored into the array at index
! * {@code i + N}.
*
* @param a the array
! * @param i the offset into the array
! * @throws IndexOutOfBoundsException if {@code i < 0}, or
! * {@code i > a.length - this.length()}
*/
! public abstract void intoArray(float[] a, int i);
/**
* Stores this vector into an array starting at offset and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the lane element at
! * index {@code N} is stored into the array index {@code i + N}.
*
* @param a the array
! * @param i the offset into the array
* @param m the mask
! * @throws IndexOutOfBoundsException if {@code i < 0}, or
* for any vector lane index {@code N} where the mask at lane {@code N}
! * is set {@code i >= a.length - N}
*/
! public abstract void intoArray(float[] a, int i, VectorMask<Float> m);
/**
* Stores this vector into an array using indexes obtained from an index
* map.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
* lane element at index {@code N} is stored into the array at index
! * {@code i + indexMap[j + N]}.
*
* @param a the array
! * @param i the offset into the array, may be negative if relative
* indexes in the index map compensate to produce a value within the
* array bounds
* @param indexMap the index map
! * @param j the offset into the index map
! * @throws IndexOutOfBoundsException if {@code j < 0}, or
! * {@code j > indexMap.length - this.length()},
* or for any vector lane index {@code N} the result of
! * {@code i + indexMap[j + N]} is {@code < 0} or {@code >= a.length}
*/
! public abstract void intoArray(float[] a, int i, int[] indexMap, int j);
/**
* Stores this vector into an array using indexes obtained from an index
* map and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the lane element at
* index {@code N} is stored into the array at index
! * {@code i + indexMap[j + N]}.
*
* @param a the array
! * @param i the offset into the array, may be negative if relative
* indexes in the index map compensate to produce a value within the
* array bounds
* @param m the mask
* @param indexMap the index map
! * @param j the offset into the index map
* @throws IndexOutOfBoundsException if {@code j < 0}, or
! * {@code j > indexMap.length - this.length()},
* or for any vector lane index {@code N} where the mask at lane
! * {@code N} is set the result of {@code i + indexMap[j + N]} is
* {@code < 0} or {@code >= a.length}
*/
! public abstract void intoArray(float[] a, int i, VectorMask<Float> m, int[] indexMap, int j);
// Species
@Override
public abstract VectorSpecies<Float> species();
--- 1795,1873 ----
/**
* Stores this vector into an array starting at offset.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* the lane element at index {@code N} is stored into the array at index
! * {@code offset + N}.
*
* @param a the array
! * @param offset the offset into the array
! * @throws IndexOutOfBoundsException if {@code offset < 0}, or
! * {@code offset > a.length - this.length()}
*/
! public abstract void intoArray(float[] a, int offset);
/**
* Stores this vector into an array starting at offset and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the lane element at
! * index {@code N} is stored into the array index {@code offset + N}.
*
* @param a the array
! * @param offset the offset into the array
* @param m the mask
! * @throws IndexOutOfBoundsException if {@code offset < 0}, or
* for any vector lane index {@code N} where the mask at lane {@code N}
! * is set {@code offset >= a.length - N}
*/
! public abstract void intoArray(float[] a, int offset, VectorMask<Float> m);
/**
* Stores this vector into an array using indexes obtained from an index
* map.
* <p>
* For each vector lane, where {@code N} is the vector lane index, the
* lane element at index {@code N} is stored into the array at index
! * {@code a_offset + indexMap[i_offset + N]}.
*
* @param a the array
! * @param a_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
* @param indexMap the index map
! * @param i_offset the offset into the index map
! * @throws IndexOutOfBoundsException if {@code i_offset < 0}, or
! * {@code i_offset > indexMap.length - this.length()},
* or for any vector lane index {@code N} the result of
! * {@code a_offset + indexMap[i_offset + N]} is {@code < 0} or {@code >= a.length}
*/
! public abstract void intoArray(float[] a, int a_offset, int[] indexMap, int i_offset);
/**
* Stores this vector into an array using indexes obtained from an index
* map and using a mask.
* <p>
* For each vector lane, where {@code N} is the vector lane index,
* if the mask lane at index {@code N} is set then the lane element at
* index {@code N} is stored into the array at index
! * {@code a_offset + indexMap[i_offset + N]}.
*
* @param a the array
! * @param a_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
* @param m the mask
* @param indexMap the index map
! * @param i_offset the offset into the index map
* @throws IndexOutOfBoundsException if {@code j < 0}, or
! * {@code i_offset > indexMap.length - this.length()},
* or for any vector lane index {@code N} where the mask at lane
! * {@code N} is set the result of {@code a_offset + indexMap[i_offset + N]} is
* {@code < 0} or {@code >= a.length}
*/
! public abstract void intoArray(float[] a, int a_offset, VectorMask<Float> m, int[] indexMap, int i_offset);
// Species
@Override
public abstract VectorSpecies<Float> species();
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