| Package | Description |
|---|---|
| it.unimi.dsi.fastutil |
Provides static data/methods used by all implementations and some non-type-specific classes
that do not belong to
it.unimi.dsi.fastutil.objects . |
| it.unimi.dsi.fastutil.longs |
Provides type-specific classes for long elements or keys.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
BigArrays.mergeSort(long from,
long to,
LongComparator comp,
BigSwapper swapper)
Sorts the specified range of elements using the specified big swapper and
according to the order induced by the specified comparator using
mergesort.
|
static void |
BigArrays.quickSort(long from,
long to,
LongComparator comp,
BigSwapper swapper)
Sorts the specified range of elements using the specified big swapper and
according to the order induced by the specified comparator using
quicksort.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractLongComparator
An abstract class facilitating the creation of type-specific comparators.
|
protected static class |
LongComparators.NaturalImplicitComparator
A type-specific comparator mimicking the natural order.
|
protected static class |
LongComparators.OppositeComparator |
protected static class |
LongComparators.OppositeImplicitComparator
A type-specific comparator mimicking the opposite of the natural order.
|
| Modifier and Type | Field and Description |
|---|---|
protected LongComparator |
Long2BooleanAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2BooleanAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2BooleanRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2BooleanRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ByteAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ByteAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ByteRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ByteRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2CharAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2CharAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2CharRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2CharRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2DoubleAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2DoubleAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2DoubleRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2DoubleRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2FloatAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2FloatAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2FloatRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2FloatRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2IntAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2IntAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2IntRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2IntRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2LongAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2LongAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2LongRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2LongRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ObjectAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ObjectAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ObjectRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ObjectRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ReferenceAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ReferenceAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ReferenceRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ReferenceRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ShortAVLTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ShortAVLTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
Long2ShortRBTreeMap.actualComparator
This map's actual comparator; it may differ from
Long2ShortRBTreeMap.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
LongAVLTreeSet.actualComparator
This set's actual comparator; it may differ from
LongAVLTreeSet.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
LongRBTreeSet.actualComparator
This set's actual comparator; it may differ from
LongRBTreeSet.storedComparator because it is
always a type-specific comparator, so it could be derived from the former by wrapping. |
protected LongComparator |
LongArrayIndirectPriorityQueue.c
The type-specific comparator used in this queue.
|
protected LongComparator |
LongArrayPriorityQueue.c
The type-specific comparator used in this queue.
|
protected LongComparator |
LongHeapPriorityQueue.c
The type-specific comparator used in this queue.
|
protected LongComparator |
LongHeapSemiIndirectPriorityQueue.c
The type-specific comparator used in this queue.
|
protected LongComparator |
Long2BooleanSortedMaps.Singleton.comparator |
protected LongComparator |
Long2ByteSortedMaps.Singleton.comparator |
protected LongComparator |
Long2CharSortedMaps.Singleton.comparator |
protected LongComparator |
Long2DoubleSortedMaps.Singleton.comparator |
protected LongComparator |
Long2FloatSortedMaps.Singleton.comparator |
protected LongComparator |
Long2IntSortedMaps.Singleton.comparator |
protected LongComparator |
Long2LongSortedMaps.Singleton.comparator |
protected LongComparator |
Long2ObjectSortedMaps.Singleton.comparator |
protected LongComparator |
Long2ReferenceSortedMaps.Singleton.comparator |
protected LongComparator |
Long2ShortSortedMaps.Singleton.comparator |
static LongComparator |
LongComparators.NATURAL_COMPARATOR |
static LongComparator |
LongComparators.OPPOSITE_COMPARATOR |
| Modifier and Type | Method and Description |
|---|---|
LongComparator |
AbstractLong2BooleanSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2ByteSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2CharSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2DoubleSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2FloatSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2IntSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2LongSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2ObjectSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2ReferenceSortedMap.KeySet.comparator() |
LongComparator |
AbstractLong2ShortSortedMap.KeySet.comparator() |
LongComparator |
Long2BooleanAVLTreeMap.comparator() |
LongComparator |
Long2BooleanLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2BooleanRBTreeMap.comparator() |
LongComparator |
Long2BooleanSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2BooleanSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2BooleanSortedMaps.Singleton.comparator() |
LongComparator |
Long2BooleanSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2BooleanSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2ByteAVLTreeMap.comparator() |
LongComparator |
Long2ByteLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ByteRBTreeMap.comparator() |
LongComparator |
Long2ByteSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ByteSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2ByteSortedMaps.Singleton.comparator() |
LongComparator |
Long2ByteSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2ByteSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2CharAVLTreeMap.comparator() |
LongComparator |
Long2CharLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2CharRBTreeMap.comparator() |
LongComparator |
Long2CharSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2CharSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2CharSortedMaps.Singleton.comparator() |
LongComparator |
Long2CharSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2CharSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2DoubleAVLTreeMap.comparator() |
LongComparator |
Long2DoubleLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2DoubleRBTreeMap.comparator() |
LongComparator |
Long2DoubleSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2DoubleSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2DoubleSortedMaps.Singleton.comparator() |
LongComparator |
Long2DoubleSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2DoubleSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2FloatAVLTreeMap.comparator() |
LongComparator |
Long2FloatLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2FloatRBTreeMap.comparator() |
LongComparator |
Long2FloatSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2FloatSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2FloatSortedMaps.Singleton.comparator() |
LongComparator |
Long2FloatSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2FloatSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2IntAVLTreeMap.comparator() |
LongComparator |
Long2IntLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2IntRBTreeMap.comparator() |
LongComparator |
Long2IntSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2IntSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2IntSortedMaps.Singleton.comparator() |
LongComparator |
Long2IntSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2IntSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2LongAVLTreeMap.comparator() |
LongComparator |
Long2LongLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2LongRBTreeMap.comparator() |
LongComparator |
Long2LongSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2LongSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2LongSortedMaps.Singleton.comparator() |
LongComparator |
Long2LongSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2LongSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2ObjectAVLTreeMap.comparator() |
LongComparator |
Long2ObjectLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ObjectRBTreeMap.comparator() |
LongComparator |
Long2ObjectSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ObjectSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2ObjectSortedMaps.Singleton.comparator() |
LongComparator |
Long2ObjectSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2ObjectSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2ReferenceAVLTreeMap.comparator() |
LongComparator |
Long2ReferenceLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ReferenceRBTreeMap.comparator() |
LongComparator |
Long2ReferenceSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ReferenceSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2ReferenceSortedMaps.Singleton.comparator() |
LongComparator |
Long2ReferenceSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2ReferenceSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
Long2ShortAVLTreeMap.comparator() |
LongComparator |
Long2ShortLinkedOpenHashMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ShortRBTreeMap.comparator() |
LongComparator |
Long2ShortSortedMap.comparator()
Returns the comparator associated with this sorted set, or null if it uses its keys' natural ordering.
|
LongComparator |
Long2ShortSortedMaps.EmptySortedMap.comparator() |
LongComparator |
Long2ShortSortedMaps.Singleton.comparator() |
LongComparator |
Long2ShortSortedMaps.SynchronizedSortedMap.comparator() |
LongComparator |
Long2ShortSortedMaps.UnmodifiableSortedMap.comparator() |
LongComparator |
LongArrayFIFOQueue.comparator()
Returns the comparator associated with this priority queue, or null if it uses its elements' natural ordering.
|
LongComparator |
LongArrayIndirectPriorityQueue.comparator() |
LongComparator |
LongArrayPriorityQueue.comparator() |
LongComparator |
LongAVLTreeSet.comparator() |
LongComparator |
LongHeapPriorityQueue.comparator() |
LongComparator |
LongHeapSemiIndirectPriorityQueue.comparator() |
LongComparator |
LongIndirectPriorityQueue.comparator()
Returns the type-specific comparator associated with this queue.
|
LongComparator |
LongLinkedOpenCustomHashSet.comparator() |
LongComparator |
LongLinkedOpenHashSet.comparator() |
LongComparator |
LongPriorityQueue.comparator()
Returns the comparator associated with this priority queue, or null if it uses its elements' natural ordering.
|
LongComparator |
LongPriorityQueues.SynchronizedPriorityQueue.comparator() |
LongComparator |
LongRBTreeSet.comparator() |
LongComparator |
LongSortedSet.comparator() |
LongComparator |
LongSortedSets.EmptySet.comparator() |
LongComparator |
LongSortedSets.Singleton.comparator() |
LongComparator |
LongSortedSets.SynchronizedSortedSet.comparator() |
LongComparator |
LongSortedSets.UnmodifiableSortedSet.comparator() |
static LongComparator |
LongComparators.oppositeComparator(LongComparator c)
Returns a comparator representing the opposite order of the given comparator.
|
| Modifier and Type | Method and Description |
|---|---|
static long |
LongBigArrays.binarySearch(long[][] a,
long key,
LongComparator c)
Searches a big array for the specified value using
the binary search algorithm and a specified comparator.
|
static long |
LongBigArrays.binarySearch(long[][] a,
long from,
long to,
long key,
LongComparator c)
Searches a range of the specified big array for the specified value using
the binary search algorithm and a specified comparator.
|
static int |
LongArrays.binarySearch(long[] a,
int from,
int to,
long key,
LongComparator c)
Searches a range of the specified array for the specified value using
the binary search algorithm and a specified comparator.
|
static int |
LongArrays.binarySearch(long[] a,
long key,
LongComparator c)
Searches an array for the specified value using
the binary search algorithm and a specified comparator.
|
static int |
LongIndirectHeaps.downHeap(long[] refArray,
int[] heap,
int[] inv,
int size,
int i,
LongComparator c)
Moves the given element down into the indirect heap until it reaches the lowest possible position.
|
static int |
LongSemiIndirectHeaps.downHeap(long[] refArray,
int[] heap,
int size,
int i,
LongComparator c)
Moves the given element down into the semi-indirect heap until it reaches the lowest possible position.
|
static int |
LongHeaps.downHeap(long[] heap,
int size,
int i,
LongComparator c)
Moves the given element down into the heap until it reaches the lowest possible position.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2BooleanSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2ByteSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2CharSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2DoubleSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2FloatSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2IntSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2LongSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2ObjectSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2ReferenceSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static java.util.Comparator<? super java.util.Map.Entry<java.lang.Long,?>> |
Long2ShortSortedMaps.entryComparator(LongComparator comparator)
Returns a comparator for entries based on a given comparator on keys.
|
static int |
LongSemiIndirectHeaps.front(long[] refArray,
int[] heap,
int size,
int[] a,
LongComparator c)
Retrieves the front of a heap in a given array using a given comparator.
|
static void |
LongIndirectHeaps.makeHeap(long[] refArray,
int[] heap,
int[] inv,
int size,
LongComparator c)
Creates an indirect heap from a given index array.
|
static void |
LongSemiIndirectHeaps.makeHeap(long[] refArray,
int[] heap,
int size,
LongComparator c)
Creates a semi-indirect heap from a given index array.
|
static void |
LongIndirectHeaps.makeHeap(long[] refArray,
int offset,
int length,
int[] heap,
int[] inv,
LongComparator c)
Creates an indirect heap in the given array.
|
static void |
LongSemiIndirectHeaps.makeHeap(long[] refArray,
int offset,
int length,
int[] heap,
LongComparator c)
Creates a semi-indirect heap in the given array.
|
static int[] |
LongSemiIndirectHeaps.makeHeap(long[] refArray,
int offset,
int length,
LongComparator c)
Creates a semi-indirect heap, allocating its heap array.
|
static void |
LongHeaps.makeHeap(long[] heap,
int size,
LongComparator c)
Makes an array into a heap.
|
static void |
LongArrays.mergeSort(long[] a,
int from,
int to,
LongComparator comp)
Sorts the specified range of elements according to the order induced by the specified
comparator using mergesort.
|
static void |
LongArrays.mergeSort(long[] a,
int from,
int to,
LongComparator comp,
long[] supp)
Sorts the specified range of elements according to the order induced by the specified
comparator using mergesort, using a given pre-filled support array.
|
static void |
LongArrays.mergeSort(long[] a,
LongComparator comp)
Sorts an array according to the order induced by the specified
comparator using mergesort.
|
static LongComparator |
LongComparators.oppositeComparator(LongComparator c)
Returns a comparator representing the opposite order of the given comparator.
|
static void |
LongArrays.parallelQuickSort(long[] x,
int from,
int to,
LongComparator comp)
Sorts the specified range of elements according to the order induced by the specified
comparator using a parallel quicksort.
|
static void |
LongArrays.parallelQuickSort(long[] x,
LongComparator comp)
Sorts an array according to the order induced by the specified
comparator using a parallel quicksort.
|
static void |
LongBigArrays.quickSort(long[][] x,
LongComparator comp)
Sorts the specified big array according to the order induced by the specified
comparator using quicksort.
|
static void |
LongBigArrays.quickSort(long[][] x,
long from,
long to,
LongComparator comp)
Sorts the specified range of elements according to the order induced by the specified
comparator using quicksort.
|
static void |
LongArrays.quickSort(long[] x,
int from,
int to,
LongComparator comp)
Sorts the specified range of elements according to the order induced by the specified
comparator using quicksort.
|
static void |
LongArrays.quickSort(long[] x,
LongComparator comp)
Sorts an array according to the order induced by the specified
comparator using quicksort.
|
static Long2BooleanSortedMap |
Long2BooleanSortedMaps.singleton(long key,
boolean value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2BooleanSortedMap |
Long2BooleanSortedMaps.singleton(java.lang.Long key,
java.lang.Boolean value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2ByteSortedMap |
Long2ByteSortedMaps.singleton(long key,
byte value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2ByteSortedMap |
Long2ByteSortedMaps.singleton(java.lang.Long key,
java.lang.Byte value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2CharSortedMap |
Long2CharSortedMaps.singleton(java.lang.Long key,
java.lang.Character value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2CharSortedMap |
Long2CharSortedMaps.singleton(long key,
char value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2DoubleSortedMap |
Long2DoubleSortedMaps.singleton(long key,
double value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2DoubleSortedMap |
Long2DoubleSortedMaps.singleton(java.lang.Long key,
java.lang.Double value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2FloatSortedMap |
Long2FloatSortedMaps.singleton(long key,
float value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2FloatSortedMap |
Long2FloatSortedMaps.singleton(java.lang.Long key,
java.lang.Float value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2IntSortedMap |
Long2IntSortedMaps.singleton(java.lang.Long key,
java.lang.Integer value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2IntSortedMap |
Long2IntSortedMaps.singleton(long key,
int value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static LongSortedSet |
LongSortedSets.singleton(long element,
LongComparator comparator)
Returns a type-specific immutable sorted set containing only the specified element, and using a specified comparator.
|
static Long2LongSortedMap |
Long2LongSortedMaps.singleton(long key,
long value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2LongSortedMap |
Long2LongSortedMaps.singleton(java.lang.Long key,
java.lang.Long value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static Long2ShortSortedMap |
Long2ShortSortedMaps.singleton(long key,
short value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static Long2ShortSortedMap |
Long2ShortSortedMaps.singleton(java.lang.Long key,
java.lang.Short value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static <V> Long2ObjectSortedMap<V> |
Long2ObjectSortedMaps.singleton(long key,
V value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static <V> Long2ReferenceSortedMap<V> |
Long2ReferenceSortedMaps.singleton(long key,
V value,
LongComparator comparator)
Returns a type-specific immutable sorted map containing only the specified pair.
|
static <V> Long2ObjectSortedMap<V> |
Long2ObjectSortedMaps.singleton(java.lang.Long key,
V value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static <V> Long2ReferenceSortedMap<V> |
Long2ReferenceSortedMaps.singleton(java.lang.Long key,
V value,
LongComparator comparator)
RETURNS a type-specific immutable sorted map containing only the specified pair.
|
static LongSortedSet |
LongSortedSets.singleton(java.lang.Object element,
LongComparator comparator)
Returns a type-specific immutable sorted set containing only the specified element, and using a specified comparator.
|
static int |
LongIndirectHeaps.upHeap(long[] refArray,
int[] heap,
int[] inv,
int size,
int i,
LongComparator c)
Moves the given element up in the indirect heap until it reaches the highest possible position.
|
static int |
LongSemiIndirectHeaps.upHeap(long[] refArray,
int[] heap,
int size,
int i,
LongComparator c)
Moves the given element up in the semi-indirect heap until it reaches the highest possible position.
|
static int |
LongHeaps.upHeap(long[] heap,
int size,
int i,
LongComparator c)
Moves the given element up in the heap until it reaches the highest possible position.
|
| Constructor and Description |
|---|
ForkJoinQuickSortComp(long[] x,
int from,
int to,
LongComparator comp) |
LongArrayIndirectPriorityQueue(long[] refArray,
int[] a,
int size,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongArrayIndirectPriorityQueue(long[] refArray,
int[] a,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongArrayIndirectPriorityQueue(long[] refArray,
int capacity,
LongComparator c)
Creates a new empty queue without elements with a given capacity and comparator.
|
LongArrayIndirectPriorityQueue(long[] refArray,
LongComparator c)
Creates a new empty queue with capacity equal to the length of the reference array and a given comparator.
|
LongArrayPriorityQueue(int capacity,
LongComparator c)
Creates a new empty queue with a given capacity and comparator.
|
LongArrayPriorityQueue(long[] a,
int size,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongArrayPriorityQueue(long[] a,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongArrayPriorityQueue(LongComparator c)
Creates a new empty queue with a given comparator.
|
LongHeapIndirectPriorityQueue(long[] refArray,
int[] a,
int size,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapIndirectPriorityQueue(long[] refArray,
int[] a,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapIndirectPriorityQueue(long[] refArray,
int capacity,
LongComparator c)
Creates a new empty queue with a given capacity and comparator.
|
LongHeapIndirectPriorityQueue(long[] refArray,
LongComparator c)
Creates a new empty queue with capacity equal to the length of the reference array and a given comparator.
|
LongHeapPriorityQueue(java.util.Collection<? extends java.lang.Long> collection,
LongComparator c)
Creates a queue using the elements in a collection using a given comparator.
|
LongHeapPriorityQueue(int capacity,
LongComparator c)
Creates a new empty queue with a given capacity and comparator.
|
LongHeapPriorityQueue(long[] a,
int size,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapPriorityQueue(long[] a,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapPriorityQueue(LongCollection collection,
LongComparator c)
Creates a queue using the elements in a type-specific collection using a given comparator.
|
LongHeapPriorityQueue(LongComparator c)
Creates a new empty queue with a given comparator.
|
LongHeapSemiIndirectPriorityQueue(long[] refArray,
int[] a,
int size,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapSemiIndirectPriorityQueue(long[] refArray,
int[] a,
LongComparator c)
Wraps a given array in a queue using a given comparator.
|
LongHeapSemiIndirectPriorityQueue(long[] refArray,
int capacity,
LongComparator c)
Creates a new empty queue without elements with a given capacity and comparator.
|
LongHeapSemiIndirectPriorityQueue(long[] refArray,
LongComparator c)
Creates a new empty queue with capacity equal to the length of the reference array and a given comparator.
|
OppositeComparator(LongComparator c) |
Singleton(long key,
boolean value,
LongComparator comparator) |
Singleton(long key,
byte value,
LongComparator comparator) |
Singleton(long key,
char value,
LongComparator comparator) |
Singleton(long key,
double value,
LongComparator comparator) |
Singleton(long key,
float value,
LongComparator comparator) |
Singleton(long key,
int value,
LongComparator comparator) |
Singleton(long key,
long value,
LongComparator comparator) |
Singleton(long key,
short value,
LongComparator comparator) |
Singleton(long key,
V value,
LongComparator comparator) |
Singleton(long key,
V value,
LongComparator comparator) |
Copyright © 2019. All rights reserved.


- computeHash() - Method in class jchain.bc.Block
-
Computes a SHA-256 double hash for the block and returns
it.
The hash consists of the following components:
The magic number constant.
The transaction count.
The MerkleTree root hash.
The block version number.
The timestamp when the block was created.
The number of bits comprising all of the transactions.
The nonce.
The previous block hash.
- computeHash() - Method in class jchain.bc.Header
-
Computes the block header hash.
- computeHash() - Method in class jchain.bc.Output
-
Overriden method provided by the Hashable interface.
- computeHash() - Method in class jchain.bc.Transaction
-
Computes a SHA-256 double hash for the transaction and returns
it as a hexstring.
A transaction hash is calculated as:
The version number of the transaction.
The number of inputs in the transaction.
The inputs in the transaction.
The number of outputs in the transaction.
The outputs in the transaction.
- computeHash() - Method in interface jchain.util.Hashable
-
- computeHash() - Method in class jchain.util.MerkleTree
-
Computes the root hash of the MerkleTree.
- contains(String) - Method in class jchain.bc.Block
-
Determines if the block contains the indicated transaction.
- contains(Transaction) - Method in class jchain.net.TxnMemoryPool
-
Determines if the transaction pool contains a specified transaction or not.
- contains(String) - Method in class jchain.util.MerkleTree
-
Determines whether the tree contains a hashable with the specified transaction hash.
- count() - Method in class jchain.net.TxnMemoryPool
-
Return the number of transactions in the pool.
- count() - Method in class jchain.util.MerkleTree
-
Gets the number of items stored in the tree.
- get() - Method in class jchain.net.TxnMemoryPool
-
Return a random transaction in the list.
- get(String) - Method in class jchain.util.MerkleTree
-
Attempts to retrieve a hashable from the tree using the indicated hash.
- getBits() - Method in class jchain.bc.Header
-
Gets the total amount of bits comprising the block.
- getBlockByHash(String) - Method in class jchain.bc.BC
-
Tries to get a block via the blocks hash.
- getBlockByHeight(int) - Method in class jchain.bc.BC
-
Tries to get a block from the blockchain by height.
- getBlockHash() - Method in exception jchain.util.NoSuchBlockException
-
Returns the SHA-256 double hash that triggered the NoSuchBlockException.
- getBlockHeader() - Method in class jchain.bc.Block
-
Returns the block header.
- getBlockHeight() - Method in exception jchain.util.NoSuchBlockException
-
Returns the block height that triggered the NoSuchBlockException.
- getHash() - Method in class jchain.bc.Block
-
Returns the block hash.
- getHash() - Method in class jchain.bc.Header
-
Gets the hash of this block header.
- getHash() - Method in class jchain.bc.Output
-
Overriden method provided by the Hashable interface.
- getHash() - Method in class jchain.bc.Transaction
-
Returns the SHA-256 double hash for the Transaction as a hexstring.
- getHash() - Method in interface jchain.util.Hashable
-
- getHeight() - Method in class jchain.bc.BC
-
Gets the height (# of blocks) of the blockchain.
- getIndex() - Method in class jchain.bc.Output
-
Returns the index of the Output.
- getInputCount() - Method in class jchain.bc.Transaction
-
Return the amount of inputs contained in the transaction.
- getInputs() - Method in class jchain.bc.Transaction
-
Return a ListIterator object over the inputs of the transaction.
- getInstance() - Static method in class jchain.util.BCUtil
-
Returns a singleton instance of the BCUtil class, useful for generating hashes.
- getLeadBlock() - Method in class jchain.bc.BC
-
Gets the lead block in the chain.
- getMiningHash() - Method in class jchain.bc.Header
-
- getNonce() - Method in class jchain.bc.Header
-
Gets the nonce of this header.
- getOperation() - Method in exception jchain.util.IllegalOperationException
-
Returns the operation that triggered the exception.
- getOutputCount() - Method in class jchain.bc.Transaction
-
Return the amount of outputs contained in the transaction.
- getOutputs() - Method in class jchain.bc.Transaction
-
Return a ListIterator object over the outputs of the
transaction.
- getPreviousBlockHash() - Method in class jchain.bc.Header
-
Gets the previous block hash pointed to by this header.
- getScript() - Method in class jchain.bc.Output
-
Returns the script associated with the Output.
- getTimestamp() - Method in class jchain.bc.Header
-
Gets the timestamp when this block was created.
- getTransaction(String) - Method in class jchain.bc.Block
-
Trys to get a transaction from the block with the given
transaction hash.
- getTransactionByHash(String) - Method in class jchain.bc.BC
-
Tries to get a transaction via its hash.
- getTransactionCount() - Method in class jchain.bc.Block
-
Returns the Transaction count.
- getTransactionHash() - Method in exception jchain.util.NoSuchTransactionException
-
Returns the hash that triggered the NoSuchTransactionException.
- getValueAsJCoins() - Method in class jchain.bc.Output
-
Returns the value of the Output in JCoins.
- getValueAsMinis() - Method in class jchain.bc.Output
-
Returns the value of the Output in minis.
- getVersionNumber() - Method in class jchain.bc.Header
-
Gets the version number of this block.
- getVersionNumber() - Method in class jchain.bc.Transaction
-
Returns the version number of the Transaction.
- target() - Static method in class jchain.bc.Header
-
Returns the target value for mining.
- TestBC - Class in jchain
-
Contains setup code for automatically launching and
running test against the jchain codebase.
- TestBC() - Constructor for class jchain.TestBC
-
- testMining(int, int) - Static method in class jchain.TestBC
-
- toString() - Method in class jchain.bc.BC
-
- toString() - Method in class jchain.bc.Block
-
Returns a String representation of this Block.
- toString() - Method in class jchain.bc.Output
-
Returns a String representation of the Output.
- toString() - Method in class jchain.bc.Transaction
-
Returns a string representation of this Transaction.
- toString() - Method in exception jchain.util.IllegalOperationException
-
Returns a string representation of the
IllegalOperationException.
- toString() - Method in class jchain.util.MerkleTree
-
Returns a string representation of the MerkleTree.
- toString() - Method in exception jchain.util.NoSuchBlockException
-
Returns a String representation of the NoSuchBlockException.
- toString() - Method in exception jchain.util.NoSuchTransactionException
-
Returns a String representation of the NoSuchTransactionException.
- Transaction - Class in jchain.bc
-
- Transaction(String[], Output[]) - Constructor for class jchain.bc.Transaction
-
Returns an instance of a Transaction object containing the given
inputs and the given outputs.
- Transaction(String[], Output[], int) - Constructor for class jchain.bc.Transaction
-
Returns an instance of a Transaction object containing the given
inputs and outputs, with the indicated version number.
- TxnMemoryPool - Class in jchain.net
-
Synchronized transaction pool used by miners to track seen transactions.
- TxnMemoryPool() - Constructor for class jchain.net.TxnMemoryPool
-
Returns a new instance of a TxnMemoryPool with a pool size equal to
MAX_POOL_SIZE / 2.
- TxnMemoryPool(int) - Constructor for class jchain.net.TxnMemoryPool
-
Returns a new instance of a TxnMemoryPool with a specified pool size.


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Queen fails to raise a smile in first public appearance since son Andrew's interview
The Monarch - who is understood to have given Prince Andrew, the Duke of York, the go-ahead for the BBC Newsnight interview at Buckingham Palace - looked downcast after attending a church service in Windsor
by Amber Hicks, https://www.facebook.com/dailymirror/The Queen failed to raise a smile this morning as she made her first public appearance since son Prince Andrew's astonishing BBC interview.
The 93-year-old monarch was photographed in the back of a chauffeur driven car as she made her way back to Windsor after attending a Sunday church service.
The usually smiley great-grandmother appeared stern and tense while dressed in an eye-catching turquoise hat and colour-coordinated jacket.
In one photo she can be seen turning away from the camera with her face not visible.
Last night, millions tuned in to watch her son Prince Andrew, the Duke of York, be grilled by Newsnight presenter Emily Maitlis over allegations he slept with an underage girl.
The esteemed journalist also quizzed the 59-year-old about his friendship with paedophile Jeffrey Epstein, 66, who was found hanged in a jail cell in the summer while awaiting trial for sex trafficking charges.
The duke's TV appearance has been branded a "car-crash", "disastrous" and "like watching a man in quicksand".
It is understood the Queen gave the go-ahead for the filming at the Palace, but did not see any clips prior to it being broadcast.
Former Buckingham Palace press officer Dickie Arbiter described the interview as "excruciating" and said the duke has "done himself no favours".
He said: "If Prince Andrew thinks he's drawn a line in the sand over the Epstein saga he's in cuckoo land. Whomever advised he did this interview ought to collect his/her P45."
Mr Arbiter added to the BBC: "They will be wondering: was this the right decision? Was the right decision made? Who made the decision to put him on? Did he make it himself or did he seek advice within the palace?
"My guess is that he bulldozed his way in and decided he was going to do it himself without any advice.
"Any sensible-thinking person in the PR business would have thrown their hands up in horror at the very suggestion that he puts himself up in front of a television camera to explain away his actions and his friendship with Jeffrey Epstein."
As we reported earlier, one of Andrew's media advisors reportedly quit several weeks ago after 'warning him' not to go ahead with the Newsnight filming.
Spin doctor Jason Stein is said to have been hired in September to revive Andrew's reputation following public backlash to his links with paedophile Epstein.
However, Mr Stein reportedly left his role at the palace after four weeks 'by mutual consent' having advised the duke the interview could backfire, according to The Sunday Times.
The 28-year-old, who was previously an advisor to MP Amber Rudd, also reportedly clashed with Andrew's private secretary, Amanda Thirsk, who it is claimed was 'pushing hard' for the duke to do the TV appearance.
Mr Stein instead suggested enhancing the duke's public image by doing two newspaper interviews to mark his 60th birthday in February.
But Andrew went ahead with the interview 'out of a sense of frustration'.
Even some of those broadly in favour of the royal family, such as Royal Central website editor Charlie Proctor, were not impressed.
"I expected a train wreck. That was a plane crashing into an oil tanker, causing a tsunami, triggering a nuclear explosion level bad," Mr Proctor tweeted.
When asked if the Epstein allegations had been "damaging" to his mother, the Queen, and the rest of the Royal Family, Andrew said: "I don't believe it's been damaging to the Queen at all, it has to me and it's been a constant drip if you see what I mean in the background that people want to know."
Meanwhile, PR and crisis consultant Mark Borkowski said it was a lesson on "how not to do" public relations.
"I have never seen anything so disastrous. For any students of PR, that is how not to do it," he said.
"It was like watching a man in quicksand and unfortunately, I don't think anyone would have thrown him a line to get him out."
Mr Borkowski said he would not have advised Andrew to do the interview, adding that his comments on the show will "haunt him" in the future.
"I feel sorry for a lot of charities that got on well him," Mr Borkowski said. "He [Andrew] has done remarkable work for charity, but whether or not he can be an ambassador again after that...
"This really does park the bus across his ability to do the work many people have benefited from."
Epstein previously admitted prostituting minors in 2008 and spent 18 months in prison after agreeing a plea bargain.
In 2015, Andrew was dragged into the scandal when one of Epstein's victims said she had been forced to have sex with him when she was just 17.
Andrew has repeatedly denied the allegations by accuser Virginia Roberts Giuffre.
The now 36-year-old mum of three, alleged Andrew had sex with her three times, the first occasion she claims happened in 2001 in London.
During the 50-minute BBC interview Andrew insisted: “We never had any sort of sexual contact whatever” and he has "no recollection" of ever meeting her.


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Download The Lincoln Highway Association's "Object Lesson:" The Seedling Mile in Linn County, Iowa
The roadway again became a major means of transportation in the early 20th century with the establishment of the first transcontinental route: Highway 30, the Lincoln Highway. With automobiles growing popularity, tourist camps, small hotels, billboards, garages, and filling stations were built along the Lincoln Highway, both in and around Mount Vernon.
An electric interurban railway from Cedar Rapids to Lisbon (completed 1914; abandoned 1928) provided timely, inexpensive transportation to the palisades resort area four miles west and to Cedar Rapids. Now only the rails buried under First Street and the remnants of the elevated right-of-way east of the Middle School bear witness to its existence.
The existing Highway 30 route was completed in the 1950s, putting and end to downtown Mount Vernon's contribution to coast-to-coast travel. You can still see what remains: wooden bridge at the west end overlooking the railroad tracks; an original concrete Lincoln Highway marker moved to memorial park; and the Floyd Mersh house, 210 First Street East, which was the site of one of Mount Vernon's first motor tourist hotels. Also note placement of existing businesses in the thriving downtown shopping area: merchant shops west of Highway 1, service shops east. All point to this last influencing factor in Mount Vernon's History.
Lincoln Highway Marker (Memorial Park)


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Federant revives the Reklameschrift typeface Feder Antiqua by Otto Ludwig Nägele (1911). The main challenge of designing a modern interpretation was to balance between applying visual corrections for overall consistency and staying close to the original source. In certain cases the historical authenticy was sacrificed in favour of an even typographic color.
This project required research of historic type specimens in search for the missing letterforms. The unusual interpretation of the Yen currency symbol can be found in typefaces of that period.
Designed by Olexa M.Volochay, Alexei Vanyashin for Cyreal.
To contribute to the project, visit github.com/cyrealtype/Federant
Updated: February 2016 to Version 1.011, to correct the GPOS table (enabling kerning, so the horizontal metrics may change, causing some reflow in Firefox where kerning is used by default.)


|
NeuralSharp
1.0
NeuralSharp is a FOSS C# library for neural networks.
|
Represents a convolutional neural network. More...
Inherits NeuralSharp.ForwardLearner< Image, float[], IArrayError >, and NeuralSharp.Convolutional.IImageArrayLayer.
Public Member Functions | |
| ConvolutionalNN (PurelyConvolutionalNN firstPart, FeedForwardNN fnn, bool createIO=true) | |
| Creates an instance of the More... | |
| void | BackPropagate (float[] outputErrorArray, int outputErrorSkip, bool learning) |
| Backpropagates the given error trough the network. More... | |
| override void | BackPropagate (float[] outputError, bool learning=true) |
| Backpropagates the given error trough the network. More... | |
| void | BackPropagate (float[] outputErrorArray, int outputErrorSkip, Image inputError, bool learning) |
| Backpropagates the given error trought the network. More... | |
| override void | BackPropagate (float[] outputError, Image inputError, bool learning) |
| Backpropagates the given error trough the network. More... | |
| void | Feed (bool learning=false) |
| Feeds the network forward. More... | |
| void | Feed (Image input, float[] outputArray, int outputSkip, bool learning=false) |
| Feeds the network forward. More... | |
| override void | Feed (Image input, float[] outputArray, bool learning=false) |
| Feeds the network forward. More... | |
| void | SetInputAndOutput (Image input, float[] outputArray, int outputSkip) |
| Sets the input image and the output array of the network, connecting its inner layers if needed. More... | |
| void | SetInputAndOutput (Image input, float[] output) |
| Sets the input image and the output array of the network, connecting its inner layers if needed. More... | |
| float [] | SetInputGetOutput (Image input) |
| Sets the input image of the network and creates and sets an output array. More... | |
| override void | UpdateWeights (float rate, float momentum=0.0F) |
| Updates the weights of the network. More... | |
| float | GetError (float[] outputArray, int outputSkip, float[] expectedArray, int expectedSkip, float[] errorArray, int errorSkip, IArrayError errorFunction) |
| Gets the error of the network, given its actual and expected output. More... | |
| override float | GetError (float[] output, float[] expectedOuptut, float[] error, IArrayError errorFunction) |
| Gets the error of the network, given its actual and expected output. More... | |
| float | FeedAndGetError (Image input, float[] expectedArray, int expectedSkip, float[] errorArray, int errorSkip, IArrayError errorFunction, bool learning) |
| Feeds the network forward and, given the expected output, gets its error. More... | |
| override float | FeedAndGetError (Image input, float[] expectedOutput, float[] error, IArrayError errorFunction, bool learning) |
| Feeds the network forward and, given the expected output, gets its error. More... | |
| virtual ILayer< Image, float[]> | CreateSiamese () |
| Creates a siamese of the network. More... | |
| virtual ILayer< Image, float[]> | Clone () |
| Creates a clone of the network. More... | |
| int | CountParameters (List< object > siameseIDs) |
| Counts the amount of parameters of the network. More... | |
| Public Member Functions inherited from NeuralSharp.ForwardLearner< Image, float[], IArrayError > | |
| delegate void | LearningParametersFunction (int batchSize, int batchIndex, int batchesCount, int epoch, out float learningRate, out float momentum) |
| Represents a function which gets learning parameters at each step. More... | |
| abstract void | Feed (TIn input, TOut output, bool learning=false) |
| Feeds the learner forward. More... | |
| abstract void | BackPropagate (TOut outputError, bool learning=true) |
| Backpropagates the given error trough the learner. More... | |
| abstract void | BackPropagate (TOut outputError, TIn inputError, bool learning) |
| Backpropagates the given error trough the learner. More... | |
| abstract float | GetError (TOut output, TOut expectedOutput, TOut error, TErrFunc errorFunction) |
| Gets the error of the learner, given its actual output and expected output. More... | |
| abstract float | FeedAndGetError (TIn input, TOut expectedOutput, TOut error, TErrFunc errorFunction, bool learning) |
| Feeds the learner forward and gets its error, given the expected output. More... | |
| virtual float | Learn (IEnumerable< TIn > inputs, IEnumerable< TOut > outputs, float maxError, int maxSteps, int batchSize, TErrFunc errorFunction, LearningParametersFunction learningParametersFunction=null) |
| Learns using the given input and output pairs. More... | |
| Public Member Functions inherited from NeuralSharp.ILayer< Image, float[]> | |
| int | CountParameters (List< object > siameseIDs) |
| Counts the amount of parameters of the layer. More... | |
| void | Feed (bool learning=false) |
| Feeds the layer forward. More... | |
| void | UpdateWeights (float rate, float momentum=0.0F) |
| Updates the weights of the layer. More... | |
| void | BackPropagate (TOut outputError, TIn inputError, bool learning) |
| Backpropagates the given error trough the layer. More... | |
| void | SetInputAndOutput (TIn input, TOut output) |
| Sets the input object and the output object of the layer. More... | |
| TOut | SetInputGetOutput (TIn input) |
| Sets the input object of the layer and creates and sets the output object. More... | |
| ILayer< TIn, TOut > | CreateSiamese () |
| Creates a siamese of the layer. More... | |
| ILayer< TIn, TOut > | Clone () |
| Clones the layer. More... | |
Protected Member Functions | |
| ConvolutionalNN (ConvolutionalNN original, bool siamese) | |
| Either creates a siamese of the given More... | |
| override float [] | NewError () |
| Creates a new array which can be used as output error. More... | |
| Protected Member Functions inherited from NeuralSharp.ForwardLearner< Image, float[], IArrayError > | |
| virtual void | DefaultLearningParameters (int batchSize, int batchIndex, int batchesCount, int epoch, out float learningRate, out float momentum) |
| Gets the best parameters during training. More... | |
Properties | |
| Image | Input [get] |
| The input image of the network. More... | |
| float [] | Output [get] |
| The output array of the network. More... | |
| int | InputDepth [get] |
| The depth of the input of the network. More... | |
| int | InputWidth [get] |
| The width of the input of the network. More... | |
| int | InputHeight [get] |
| The height of the input of the network. More... | |
| int | OutputSkip [get] |
| The index of the first used entry of the output array. More... | |
| int | OutputSize [get] |
| The lenght of the output of the network. More... | |
| int | Parameters [get] |
| The amount of parameters of the network. More... | |
| object | SiameseID [get] |
| The siamese identifier of the network. More... | |
| Properties inherited from NeuralSharp.Convolutional.IImageArrayLayer | |
| int | InputDepth [get] |
| The depth of the input of the layer. More... | |
| int | InputWidth [get] |
| The width of the input of the layer. More... | |
| int | InputHeight [get] |
| The height of the input of the layer. More... | |
| int | OutputSize [get] |
| The lenght of the output of the layer. More... | |
| int | OutputSkip [get] |
| The index of the first position of More... | |
| Properties inherited from NeuralSharp.ILayer< Image, float[]> | |
| TIn | Input [get] |
| The input object of the layer. More... | |
| TOut | Output [get] |
| The output object. More... | |
| int | Parameters [get] |
| The amount of parameters of the layer. More... | |
| object | SiameseID [get] |
| The siamese identifier of the layer. More... | |
Represents a convolutional neural network.
|
protected |
Either creates a siamese of the given
ConvolutionalNN
instance or clones it.
| original | The original instance to be created a siamese of or cloned. |
| siamese | true false |
| NeuralSharp.Convolutional.ConvolutionalNN.ConvolutionalNN | ( | PurelyConvolutionalNN | firstPart, |
| FeedForwardNN | fnn, | ||
| bool | createIO = true |
||
| ) |
Creates an instance of the
ConvolutionalNN
class.
| firstPart | The first part of the convolutional neural network. |
| fnn | The second part of the convolutional neural network. |
| createIO | Whether the input image and the output array of the network are to be created. |
| void NeuralSharp.Convolutional.ConvolutionalNN.BackPropagate | ( | float [] | outputErrorArray, |
| int | outputErrorSkip, | ||
| bool | learning | ||
| ) |
Backpropagates the given error trough the network.
| outputErrorArray | The output array to be backpropagated. |
| outputErrorSkip | The index of the first entry of the output array to be used. |
| learning | Whether the network is being used in a training session. |
| override void NeuralSharp.Convolutional.ConvolutionalNN.BackPropagate | ( | float [] | outputError, |
| bool | learning = true |
||
| ) |
Backpropagates the given error trough the network.
| outputError | The output error to be backpropagated. |
| learning | Whether the network is being used in a training session. |
| void NeuralSharp.Convolutional.ConvolutionalNN.BackPropagate | ( | float [] | outputErrorArray, |
| int | outputErrorSkip, | ||
| Image | inputError, | ||
| bool | learning | ||
| ) |
Backpropagates the given error trought the network.
| outputErrorArray | The output error to be backpropagated. |
| outputErrorSkip | The index of the first entry of the output error array to be used. |
| inputError | The image to be written the input error into. |
| learning | Whether the network is being used in a training session. |
| override void NeuralSharp.Convolutional.ConvolutionalNN.BackPropagate | ( | float [] | outputError, |
| Image | inputError, | ||
| bool | learning | ||
| ) |
Backpropagates the given error trough the network.
| outputError | The output error to be backpropgated. |
| inputError | The image to be written the input error into. |
| learning | Whether the network is being used in a training session. |
Creates a clone of the network.
| int NeuralSharp.Convolutional.ConvolutionalNN.CountParameters | ( | List< object > | siameseIDs | ) |
Counts the amount of parameters of the network.
| siameseIDs | The siamese identifiers to be excluded. The siamese identifiers of the network will be added to the list. |
Creates a siamese of the network.
| void NeuralSharp.Convolutional.ConvolutionalNN.Feed | ( | bool | learning = false | ) |
Feeds the network forward.
| learning | Whether the network is being used in a training session. |
| void NeuralSharp.Convolutional.ConvolutionalNN.Feed | ( | Image | input, |
| float [] | outputArray, | ||
| int | outputSkip, | ||
| bool | learning = false |
||
| ) |
Feeds the network forward.
| input | The image to be copied the input from. |
| outputArray | The array to be copied the output into. |
| outputSkip | The index of the first entry of the given output array to be used. |
| learning | Whether the network is being used in a training session. |
| override void NeuralSharp.Convolutional.ConvolutionalNN.Feed | ( | Image | input, |
| float [] | outputArray, | ||
| bool | learning = false |
||
| ) |
Feeds the network forward.
| input | The image to be copied the input from. |
| outputArray | The array to be copied the output into. |
| learning | Whether the network is being used in a training session. |
| float NeuralSharp.Convolutional.ConvolutionalNN.FeedAndGetError | ( | Image | input, |
| float [] | expectedArray, | ||
| int | expectedSkip, | ||
| float [] | errorArray, | ||
| int | errorSkip, | ||
| IArrayError | errorFunction, | ||
| bool | learning | ||
| ) |
Feeds the network forward and, given the expected output, gets its error.
| input | The image to be copied the input from. |
| expectedArray | The expected output of the network. |
| expectedSkip | The index of the first entry of the expected array to be used. |
| errorArray | The array to be written the output error into. |
| errorSkip | The index of the first entry of the output error array to be written into. |
| errorFunction | The error function to be used. |
| learning | Whether the network is being used in a learning session. |
| override float NeuralSharp.Convolutional.ConvolutionalNN.FeedAndGetError | ( | Image | input, |
| float [] | expectedOutput, | ||
| float [] | error, | ||
| IArrayError | errorFunction, | ||
| bool | learning | ||
| ) |
Feeds the network forward and, given the expected output, gets its error.
| input | The image to be copied the input from. |
| expectedOutput | The expected output of the network. |
| error | The array to be written the output error into. |
| errorFunction | The error function to be used. |
| learning | Whether the network is being used in a learning session. |
| float NeuralSharp.Convolutional.ConvolutionalNN.GetError | ( | float [] | outputArray, |
| int | outputSkip, | ||
| float [] | expectedArray, | ||
| int | expectedSkip, | ||
| float [] | errorArray, | ||
| int | errorSkip, | ||
| IArrayError | errorFunction | ||
| ) |
Gets the error of the network, given its actual and expected output.
| outputArray | The actual output of the network. |
| outputSkip | The index of the first entry of the given output array to be used. |
| expectedArray | The expected output of the network. |
| expectedSkip | The index of the first entry of the expected array to be used. |
| errorArray | The array to be written the output error into. |
| errorSkip | The index of the first entry of the output error array to be used. |
| errorFunction | The error function to be used. |
| override float NeuralSharp.Convolutional.ConvolutionalNN.GetError | ( | float [] | output, |
| float [] | expectedOuptut, | ||
| float [] | error, | ||
| IArrayError | errorFunction | ||
| ) |
Gets the error of the network, given its actual and expected output.
| output | The actual output of the network. |
| expectedOuptut | The expected output of the network. |
| error | The array to be written the output error into. |
| errorFunction | The error function to be used. |
|
protectedvirtual |
Creates a new array which can be used as output error.
Implements NeuralSharp.ForwardLearner< Image, float[], IArrayError >.
| void NeuralSharp.Convolutional.ConvolutionalNN.SetInputAndOutput | ( | Image | input, |
| float [] | outputArray, | ||
| int | outputSkip | ||
| ) |
Sets the input image and the output array of the network, connecting its inner layers if needed.
| input | The input image to be set. |
| outputArray | The output array to be set. |
| outputSkip | The index of the first entry of the output array to be used. |
Implements NeuralSharp.Convolutional.IImageArrayLayer.
| void NeuralSharp.Convolutional.ConvolutionalNN.SetInputAndOutput | ( | Image | input, |
| float [] | output | ||
| ) |
Sets the input image and the output array of the network, connecting its inner layers if needed.
| input | The input image to be set. |
| output | The output array to be set. |
| float [] NeuralSharp.Convolutional.ConvolutionalNN.SetInputGetOutput | ( | Image | input | ) |
Sets the input image of the network and creates and sets an output array.
| input | The input image to be set. |
|
virtual |
Updates the weights of the network.
| rate | The learning rate to be used. |
| momentum | The momentum to be used. |
Implements NeuralSharp.ForwardLearner< Image, float[], IArrayError >.
|
get |
The input image of the network.
|
get |
The depth of the input of the network.
|
get |
The height of the input of the network.
|
get |
The width of the input of the network.
|
get |
The output array of the network.
|
get |
The lenght of the output of the network.
|
get |
The index of the first used entry of the output array.
|
get |
The amount of parameters of the network.
|
get |
The siamese identifier of the network.


org.apache.xerces.xpointer
Interface XPointerProcessor
- All Known Implementing Classes:
- XPointerHandler
- public interface XPointerProcessor
The XPointerProcessor is responsible for parsing an XPointer
expression and and providing scheme specific resolution of
the document fragment pointed to be the pointer.
INTERNAL:
- Usage of this class is not supported. It may be altered or removed at any time.
- Version:
- $Id: XPointerProcessor.html,v <IP_ADDRESS> 2005/09/25 21:11:39 psiegel Exp $
|
Method Summary |
boolean |
isFragmentResolved()
Returns true if the XPointer expression resolves to the current resource fragment
or Node which is part of the input resource being streamed else returns false. |
boolean |
isXPointerResolved()
Returns true if the XPointer expression resolves any subresource of the
input resource. |
void |
parseXPointer(java.lang.String xpointer)
Parses an XPointer expression. |
boolean |
resolveXPointer(org.apache.xerces.xni.QName element,
org.apache.xerces.xni.XMLAttributes attributes,
org.apache.xerces.xni.Augmentations augs,
int event)
Evaluates an XML resource with respect to an XPointer expressions
by checking if it's element and attributes parameters match the
criteria specified in the xpointer expression. |
EVENT_ELEMENT_START
public static final int EVENT_ELEMENT_START
EVENT_ELEMENT_END
public static final int EVENT_ELEMENT_END
EVENT_ELEMENT_EMPTY
public static final int EVENT_ELEMENT_EMPTY
parseXPointer
public void parseXPointer(java.lang.String xpointer)
throws org.apache.xerces.xni.XNIException
- Parses an XPointer expression. It performs scheme specific processing
depending on the pointer parts and sets up a Vector of XPointerParts
in the order (left-to-right) they appear in the XPointer expression.
- Parameters:
xpointer
- A String representing the xpointer expression.- Throws:
org.apache.xerces.xni.XNIException
- Thrown if the xpointer string does not conform to
the XPointer Framework syntax or the syntax of the pointer part does
not conform to its definition for its scheme.
resolveXPointer
public boolean resolveXPointer(org.apache.xerces.xni.QName element,
org.apache.xerces.xni.XMLAttributes attributes,
org.apache.xerces.xni.Augmentations augs,
int event)
throws org.apache.xerces.xni.XNIException
- Evaluates an XML resource with respect to an XPointer expressions
by checking if it's element and attributes parameters match the
criteria specified in the xpointer expression.
- Parameters:
element
- - The name of the element.attributes
- - The element attributes.augs
- - Additional information that may include infoset augmentationsevent
- - An integer indicating
0 - The start of an element
1 - The end of an element
2 - An empty element call- Returns:
- true if the element was resolved by the xpointer
- Throws:
org.apache.xerces.xni.XNIException
- Thrown to signal an error
isFragmentResolved
public boolean isFragmentResolved()
throws org.apache.xerces.xni.XNIException
- Returns true if the XPointer expression resolves to the current resource fragment
or Node which is part of the input resource being streamed else returns false.
- Returns:
- True if the xpointer expression matches a node/fragment in the resource
else returns false.
- Throws:
org.apache.xerces.xni.XNIException
- Thrown to signal an error
isXPointerResolved
public boolean isXPointerResolved()
throws org.apache.xerces.xni.XNIException
- Returns true if the XPointer expression resolves any subresource of the
input resource.
- Returns:
- True if the xpointer expression matches a fragment in the resource
else returns false.
- Throws:
org.apache.xerces.xni.XNIException
- Thrown to signal an error
Copyright © 1999-2005 Apache XML Project. All Rights Reserved.


Hacktoberfest 2019
Hacktoberfest is open to everyone in our global community. Whether you’re a developer, student learning to code, event host, or company of any size, you can help drive growth of open source and make positive contributions to an ever-growing community. All backgrounds and skill levels are encouraged to complete the challenge.
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Two minutes of madness dumps A-League classic between Adelaide United and Melbourne Victory on its head
by Staff WritersThe A-League rivalry between Adelaide United and Melbourne Victory suddenly burst into life with two minutes of absolute madness around the hour mark.
Two quickfire goals were scored at opposite ends of the pitch after Reds defender Michael Maria cancelled out Ola Toivonen’s equaliser — the score officially being level for less than a minute.
Stream every game of the 2019/20 Hyundai A-League season LIVE & On-Demand with Kayo Sports. Get your 14 day free trial & start streaming instantly >
With the Reds leading courtesy of a first half goal from Riley McGree, Marco Kurz’s Melbourne Victory came out for the second half firing and finally found the back of the net thanks to a trademark Toivonen goal.
But before the visitors could get a chance to breathe and reset, Adelaide were charging towards Lawrence Thomas’ goal in the hope of restoring their lead.
From the resulting kick-off, the Reds stormed down the other end of the field and linked up superbly to find Maria in uncharted territory staring at the opposition goal with the ball at his feet.

Remarkably, Adelaide extended their lead just five minutes later as McGree bagged a brace.


The internet is a group of computers that work with each other to transfer information. The world wide web uses HTML to transfer information back and forth. First a computer will link to a web page, that sends an http request to a server ( a computer that hosts the requested information.) The server sends the information back to the computer. The information is interpreted through a web browser and displays the information in a visual format.
HTMLText content - What you see
Markup - What it looks like
References to other documents - Images, videos
Links to other pages
A tag is a reference to a purpose made in an html document that tells the website what to do with the following information.
An element is a line of code with both an opening and closing tag and some content for the tags to act on.
Computers need exact instructions to operate as intended. This applies to the internet as well. One wrong direction or typo can have major unintended consequences.
HTML AttributesEach HTML element is either inline or block. Inline is just for text. Block creatles a box around the element and can work with both text and other kinds of content


CaffeineKit
A Swift library for keeping Macs awake.
Still under development! Breaking changes may be introduced without warning.
CaffeineKit prevents sleep using the command-line utility caffeinate
. Why is it better than let proc = Process(); proc.executableURL = URL(fileURLWithPath: "/usr/bin/caffeinate"); proc.arguments = ["-d", "-i"]; try! proc.run()
?
Safety: CaffeineKit ensures that “zombie”
caffeinate
processes don’t linger when your app terminates. In fact, even if your app is force-quit (i.e., receivesSIGKILL
), CaffeineKit can (usually*) preventcaffeinate
processes from hanging around.*If you use the
process
Caffeination option, CaffeineKit can’t preventcaffeinate
from persisting if your app is force-quit. But it will still stop zombie processes if you receive any other sort of interrupt!Swiftiness:
try Caffeination(withOpts: [.display, .idle, .timed(2)]).start()
vs.let proc = Process(); proc.executableURL = URL(fileURLWithPath: "/usr/bin/caffeinate"); proc.arguments = ["-d", "-i", "-t", "2"]; try proc.run()
. Need more be said?Flexibility: CaffeineKit is versatile. For instance (no pun intended), instances of
Caffeination
can be reused. (Ever tried re-running aProcess
?) MultipleCaffeination
sessions can even occur concurrently. Caffeination exposes an incredibly simple and intuitive architecture, but one that is powerful and customizable if you want it to be.Closures made simple: CaffeineKit exposes a robust, generics-based closure model that makes it trivial to create closures that prevent screen, disk, or idle sleep. These are especially useful for tasks that require that the computer stay awake, but which macOS might not recognize as having this requirement.
Examples
Creating a simple Caffeination
instance that prevents the display from sleeping:
let caf = Caffeination(withOpts: [.idle, .display])
do {
try caf.start()
} catch {
print("Caffeination failed to start")
}
// Do some other things
caf.stop()
Preventing idle sleep for 5 minutes:
let caf = Caffeination(withOpts: [.idle, .timed(5 * 60)])
do {
try caf.start()
} catch {
print("Caffeination failed to start")
}
Creating a closure that prevents sleep:
myObject.closureProperty = try caf.closure { (myInt, myStr) -> Int in
// Actions that require the computer to be awake
return 1
}


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ISBN Search
ISBN-13:<PHONE_NUMBER>647
ISBN-10: 111860864X
Authors: Joshua J. Drake; Zach Lanier; Collin Mulliner; Pau Oliva Fora; Stephen A. Ridley; Georg Wicherski
Edition: 1
Binding: Paperback
Publisher: Wiley
Published: March 2014
List Price: $50.00
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{% extends "layout.html" %} {% block pageTitle %} Error: Vehicle type - Apply for a vehicle test or approval - GOV.UK {% endblock %} {% block beforeContent %}
alpha This is a new service – your feedback will help us to improve it.


{% load static %}
| # | Title | Assigned to | Reported by |
|---|---|---|---|
| {{item.id}} | {{item.title}} | {{item.assigned}} | {{item.creator}} |
| # | Title | Assigned to | Reported by |
|---|---|---|---|
| {{item.id}} | {{item.title}} | {{item.assigned}} | {{item.creator}} |
| # | Title | Assigned to | Reported by |
|---|---|---|---|
| {{item.id}} | {{item.title}} | {{item.assigned}} | {{item.creator}} |
| # | Title | Assigned to | Reported by |
|---|---|---|---|
| {{item.id}} | {{item.title}} | {{item.assigned}} | {{item.creator}} |


Lotion bottle leads to evac
by The Canadian PressSheriff’s investigators say a “suspicious package” flagged during the screening process at Florida’s Daytona Beach International Airport turned out to be a bottle of lotion.
The incident forced about 200 passengers and workers to evacuate the airport at about 6:15 a.m. on Tuesday. Airport officials gave an all-clear more than an hour later, resuming normal operations.
Volusia County Sheriff’s Office posted a statement online thanking people for their patience and saying “the object of concern was a bottle of lotion.”
Sheriff Mike Chitwood said during a news conference that the item was described as a possible detonator during the screening process. The bomb squad was called. Chitwood described the incident as “better safe than sorry.”
Officials said two flights were delayed because of the evacuation.


---
layout: null
section-type: about
title: About
---
## About
Github's Octocat was designed by Simon Oxley, alongside the white bird Twitter used (before they received a proper logo) as part of a usual routine of cranking out images for iStock. GitHub saw it, and wanted it, presumably under the notion that it can represent how complex code combines to create peculiar things, much like the octopuss... except the CEO of GitHub called it an octocat, and it has been the octocat since [via].
Still use the about text from the original repo. I'll update later, maybe.
This site created with personal-jekyll-theme, if you interested please support the repo by starring or forking it!


Connect with friends and ready up for your future journey into your new high school life. Bubl is an app to help rising high schoolers transition into their new surroundings more smoothly.
Sean Pheneger
Got into the graphic design and large format print industry about 5 years ago and taught myself adobe photoshop and illustrator. In addition to learning the large format print industry I also learned garment silk screen printing and how to do vehicle wraps as well. With the print industry clients, some where looking to get websites created for them and I started to teach myself how to make websites. I fell in love with web development and software engineering and started to search for great content on the web and YouTube and courses from sites like Udemy, fully engulfing myself in learning the industry. That's when I found Lambda and liked the curriculum they offered. I decided to go the boot camp route and haven't regretted it a minute.
Tristan Grovender
Previous to Lambda I worked at BlueCross BlueShield of Minnesota, at that time I was looking to get some experience with insurance as I was planning to apply for PT school. My career trajectory was not going where I wanted so I started looking for a change. I’ve always been interested in computers and coding, my best friend is currently working at a startup in SF and he encouraged me to follow my dream. I did a lot of research online and found Lambda. I’m so grateful for this opportunity and excited for what the future holds!
Place holder
"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.


Activity related to a sponsorship listing. The type of activity is specified
in the action
property of the payload object. For more
information, see "About GitHub Sponsors" in the GitHub Help documentation.
payload
object
| Key | Type | Description |
|---|---|---|
action |
string |
The action that was performed. This can be created . |
effective_date |
string |
The pending_cancellation and
pending_tier_change event types will include the date the
cancellation or tier change will take effect.
|
changes[tier][from] |
object |
The tier_changed and pending_tier_change will
include the original tier before the change or pending change. For more
information, see the
pending tier change payload.
|
changes[privacy_level][from] |
string |
The edited event types include the details about the change
when someone edits a sponsorship to change the privacy.
|


Performance histogram for FWD=fwd1 Link to Run Definitions: format_for_rd1 For loops: None rd1 For loops: None 19:20:36.005 Starting RD=format_for_rd1 19:26:17.000 Starting RD=rd1; elapsed=10; fwdrate=max. For loops: None


saveChoices module¶
This module reads and writes CSV files to save/load the training data.
Project : Bomberman Bot with Machine Learning Olin College Software Design Final Orject, Spring 2017 By : TEAM AFK
This module reads and writes CSV files to save/load the training data.
Project : Bomberman Bot with Machine Learning Olin College Software Design Final Orject, Spring 2017 By : TEAM AFK


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Cloudmesh OpenAPI Scikit-learn¶
Prerequisites¶
We use recommend Python 3.8.2 Python or newer.
We recommend pip version 20.0.2 or newer
We recommend that you use a venv (see developer install)
MongoDB installed as regular program not as service
Please run cim init command to start mongodb server
We have not checked if it works on older versions.
Installation¶
Make sure to follow the instruction for cms openapi
Overview¶
When getting started using the openapi
, please first call
cms help openapi
to see the available functions and options. For
your convenience we include the manual page later on in this document.
Scikit-learn Documentation¶
Scikit-learn is a Machine learning library in Python.We can choose a ML algorithm like LinearRegression and cloudmesh will be able to spin up OPENAPI specification for the library we choose. We can interact with the Scikit-learn library using either CURL commands or through GUI.
This Version of Scikit-learn service accepts csv files in UTF-8 format only.It is the user responsibility to make sure the files are in UTF-8 format.It is the user responsiblity to split the data in to train and test datasets. Split data functionality is not currently supported.
Setting up Scikit-learn service¶
Please complete the basic installation of cloudmesh-openapi, To make set up easy the same steps are even referenced at the Developer Installation section in the document.
You can find Scikit-learn documentation in Scikit-learn
The following packages needs to be installed to access Scikit-learn
pip install pandas pip install Scikit-learn
Navigate to the
./cloudmesh-openapi
directory on your machineUtilize the Scikit-learn generate command to create the python file which will used to generate OpenAPI spec
cms openapi sklearnreadfile sklearn.linear_model.LinearRegression Linregpytest
The sample generated file can be viewed at tests/generator
Utilize the generate command to generate OpenAPI spec with upload functionality enabled
cms openapi generate --filename=./tests/generator/LinearRegression.py --all_functions --enable_upload
Start the server after the yaml file is generated ot the same directory as the .py file
cms openapi server start ./tests/generator/LinearRegression.yaml
Access the REST service using http://localhost:8080/cloudmesh/ui/
Run a curl command against the newly running server to upload the testfiles.


As succinct as this comment is, in one important aspect it is not true. On the street, geography is paramount. On Twitter, it is a little line in a user profile.
This website seeks to restore geography's place in the wonderful absurdity that is Twitter. Unfortunately, it does not work (yet) in Microsoft Internet Explorer.
It does work in Google Chrome (recommended), Mozilla Firefox, and Apple's Safari. Please use one of these browsers and enjoy the site.


Module resty.worker.manager
Worker manager.
This module allows to track nginx workers starting/exiting, as well as detecting Node start/reload/exit.
All callbacks run within a lock. So while the callback is processing no other processes can start/stop. They all run unprotected so wrap them in a pcall if required. The callbacks all have the same function signature:
function(id, n_prev, n_mine, n_next)
id
is a unique id for the currently starting/stopping worker or master process.n_prev
: the current number of running workers in the previous master. Will benil
if there is no previous master exiting.n_mine
: the current number of running workers in the master to which the current master or worker belongs.n_next
: the current number of running workers in the next master (if already started). Will benil
if there is no new master starting.
Info:
- Copyright: 2017 Kong Inc.
- License: Apache 2.0
- Author: Thijs Schreijer
Functions
| on_init_by_lua (opts, master_start_cb, master_exit_cb) | Initializer. |
| on_init_worker_by_lua (start_cb, exit_cb) | Initialize worker. |
Functions
- on_init_by_lua (opts, master_start_cb, master_exit_cb)
-
Initializer. MUST be called in the
init_by_lua
phase. Theopts
table supports the following options:shm
: (required) name of the shm to use for synchonizationinterval
: (optional) heartbeat interval in seconds (default = 10)failed
: (optional) max heartbeat overrun (in seconds) before a worker is considered crashed (default = 5)
Parameters:
- opts Options table
- master_start_cb callback called when the master process starts
- master_exit_cb callback called when the master process exits
Returns:
-
success, err
- on_init_worker_by_lua (start_cb, exit_cb)
-
Initialize worker.
MUST be called in the
init_worker_by_lua
phase.Parameters:
- start_cb callback called when the worker process starts
- exit_cb callback called when the worker process exits
Returns:
-
success, err


A simple random-noise implementation
The Noise suite implements a basic colored noise synthesis algorithm, along with its associated
handler and actor. The noise is random, or repetitive, in nature. (Actually, it repeats once every
2^48 samples, or at worst, once every 203 years at 44.1 kHz sampling rate. So, who's counting?) The
noise is colored by filtering through a selectable zero-order or first-order hold process.
Noise characteristics are controlled through two parameters: "Order", and "Cutoff". Order
determines the filter type used for coloring the noise. Order=0 corresponds to a simple zero-order
hold (i.e. sampled-and-held noise samples), while Order=1 corresponds to a first-order hold (i.e.
linearly interpolated noise samples). Both types of filtering are lowpass in nature, with a falloff
slope of 6dB/octave for Order=0 and 12dB/octave for Order=1.
Cutoff controls the frequency at which the noise spectrum falls off, i.e., is filtered out, and is
expressed in Hz. Specifically, a cutoff of 1000Hz produces an output spectrum whose half-power
point occurs at 443Hz for Order=0, and at 319Hz for Order=1.
To use the Noise implementation, load noise.so and create an actor of type NoiseActor.
NoiseActor messages
In addition to the messages understood by all generator actors, the NoiseActor understands the following messages:
- SetCutoff hActor x
- Set the default cutoff frequency for new instances created by this actor
to x.
- SetAllCutoff hActor x time
- Set the cutoff frequency of all children to x, and set the
default cutoff for all future children. If time is specified,
children will modulate to the new cutoff over the specified duration.
Default cutoff is always set immediately regardless of time.
- SetOrder hActor bool
- Set the default filter order for new instances created by this actor
to bool, either 0 or 1.
- SetAllOrder hActor bool
- Set the filter order of all children to bool, and set the
default order for all future children.
Noise handler messages
In addition to the messages understood by all handlers, the handler for the noise algorithm understands the following messages:
- SetCutoff hSound x time
- Set the cutoff frequency to x. If
time is specified, move to the new cutoff over the specified
duration.
- SetOrder hSound bool
- Set the filter order to bool, either 0 or 1.


lds::fit_t #
LDS Fit Type.
#include <lds_fit.h>
Inherited by lds::gaussian::fit_t, lds::poisson::fit_t
Public Functions #
| Name | |
|---|---|
| fit_t() | |
| fit_t(Matrix & A, Matrix & B, Vector & g, Vector & m, Matrix & Q, Vector & x0, Matrix & P0, data_t & dt) Constructs a new LDS fit type. |
Public Attributes #
| Name | |
|---|---|
| Matrix | A state matrix |
| Matrix | B input matrix |
| Vector | g input gain |
| Vector | m process noise mean |
| Matrix | Q process noise cov |
| Vector | x0 initial state |
| Matrix | P0 initial covar |
| data_t | dt sample period |
Public Function Details #
fit_t #
inline fit_t()
fit_t #
fit_t(
Matrix & A,
Matrix & B,
Vector & g,
Vector & m,
Matrix & Q,
Vector & x0,
Matrix & P0,
data_t & dt
)
Parameters:
- A state matrix
- B input matrix
- g input gain
- m process disturbance
- Q process noise covariance
- x0 initial state estimate
- P0 covariance of initial state estimate
- dt { parameter_description }
Public Attribute Details #
A #
Matrix A;
B #
Matrix B;
g #
Vector g;
m #
Vector m;
Q #
Matrix Q;
x0 #
Vector x0;
P0 #
Matrix P0;
dt #
data_t dt;
Updated on 10 March 2021 at 11:57:48 CST


npm install mocka-placeholder
The mocka placeholder is a very simple content placeholder that you can use for your website or web application, while loading your page's content. It weighs very little (about 500 bytes minified and gzipped), is fully customizable and you can easily include it in your project's CSS file, by using the Sass mixin provided. Alternatively, you can copy its code and inline it in your HTML for even faster loading.
After loading the css, you can create a placeholder using the code provided below:

Download the npm package, add the mixin to your project, then @import
the file and @include
the mixin, passing a single map as an argument. The map is structured as follows, containing all the information needed
to generate the classes from the mixin:
$mocka: ( prefix: 'mocka', container: ( name: 'container', width: 20rem, height: 9.5rem, background: #fafafa, border-radius: 0.125rem, border: 0.0625rem solid #acacac ), media: ( name: 'media', top: 0.5rem, left: 0.5rem, width: 4rem, height: 4rem, border-radius: 0 ), heading: ( name: 'heading', top: 1.125rem, left: 5rem, width-base: 100%, width-offset: 5.5rem, height: 0.875rem, border-radius: 0 ), subheading: ( top: 1.5rem, width: 85%, height: 0.875rem, border-radius: 0 ), text: ( name: 'text', top: 5.25rem, left: 0.5rem, line1-width-base: 85%, line1-width-offset: 1rem, height: 0.75rem, line2-top: 1.25rem, line2-width-base: 120%, line2-width-offset: 1rem, line3-top: 2.5rem, line3-width-base: 90%, line3-width-offset: 0, border-radius: 0 ), dots: ( top: 2rem, height: 0.5rem, width: 0.5rem, space-around: 0.75rem, space-between: 0.5rem, border-radius: 1rem, background: #7a7a7a, ), animation: ( name: 'dot', duration: 1.8s, timing-function: ease, iteration-count: infinite, dot1-y-offset: -0.3125rem, dot2-y-offset: -0.4375rem, dot3-y-offset: -0.3125rem ), background: #c9c9c9 );


Now it is time to check your understanding in preparation for Test 3 by completing these practice questions and problems. In this activity, begin by completing the objective questions (multiple-choice, true/false and short answer) and then work on the other problems as given and instructed. If you have any questions, contact your professor. Good luck!
Click here to start the Review


BlueZ-5.54
Kernel Configuration
If you are building this package to use bluetooth devices (rather
than as a build dependency), enable the following options in the
kernel configuration, also the options below the next paragraph if
you intend to run the tests, and recompile the kernel if necessary:
[*] Networking support ---> [CONFIG_NET]
</M> Bluetooth subsystem support ---> [CONFIG_BT]
<*/M> RFCOMM protocol support [CONFIG_BT_RFCOMM]
[*] RFCOMM TTY support [CONFIG_BT_RFCOMM_TTY]
<*/M> BNEP protocol support [CONFIG_BT_BNEP]
[*] Multicast filter support [CONFIG_BT_BNEP_MC_FILTER]
[*] Protocol filter support [CONFIG_BT_BNEP_PROTO_FILTER]
<*/M> HIDP protocol support [CONFIG_BT_HIDP]
Bluetooth device drivers --->
(Select the appropriate drivers for your Bluetooth hardware)
<*/M> RF switch subsystem support ---> [CONFIG_RFKILL]
If you wish to run the testsuite (even if treating this package as
a build dependency), you will need to enable the following options
in the kernel configuration and recompile the kernel if necessary:
[*] Networking support ---> [CONFIG_NET]
-*- Cryptographic API ---> [CONFIG_CRYPTO]
</M> User-space interface for hash algorithms [CONFIG_CRYPTO_USER_API_HASH]
</M> User-space interface for symmetric key cipher algorithms [CONFIG_CRYPTO_USER_API_SKCIPHER]
Installation of BlueZ
Install BlueZ by running the
following commands:
./configure --prefix=/usr \
--sysconfdir=/etc \
--localstatedir=/var \
--enable-library \
--disable-systemd &&
make
To test the results, issue: make
check
.
Now, as the root
user:
make install &&
ln -svf ../libexec/bluetooth/bluetoothd /usr/sbin
Install the main configuration file as the root
user:
install -v -dm755 /etc/bluetooth &&
install -v -m644 src/main.conf /etc/bluetooth/main.conf
If desired, install the API documentation as the root
user:
install -v -dm755 /usr/share/doc/bluez-5.54 &&
install -v -m644 doc/*.txt /usr/share/doc/bluez-5.54
Command Explanations
--enable-library
: This
switch enables building the BlueZ
4 compatibility library which is required by some applications.
--disable-systemd
: This
switch is needed because systemd
is not part of LFS/BLFS. If you are using systemd, remove this
switch.
ln -svf
../libexec/bluetooth/bluetoothd /usr/sbin: This
command makes access to the bluetooth daemon more convenient.
Configuring BlueZ
Configuration Files
/etc/bluetooth/main.conf
is
installed automatically during the install. Additionally, there
are three supplementary configuration files.
/etc/sysconfig/bluetooth is installed as a part of the boot
script below. In addition, you optionally can install the
following, as the root
user:
cat > /etc/bluetooth/rfcomm.conf << "EOF"
# Start rfcomm.conf
# Set up the RFCOMM configuration of the Bluetooth subsystem in the Linux kernel.
# Use one line per command
# See the rfcomm man page for options
# End of rfcomm.conf
EOF
cat > /etc/bluetooth/uart.conf << "EOF"
# Start uart.conf
# Attach serial devices via UART HCI to BlueZ stack
# Use one line per device
# See the hciattach man page for options
# End of uart.conf
EOF
Boot Script
To automatically start the bluetoothd daemon when the
system is rebooted, install the /etc/rc.d/init.d/bluetooth
bootscript from the
blfs-bootscripts-20191204 package.
make install-bluetooth
Contents
Installed Programs:
bccmd, bluemoon, bluetoothctl, bluetoothd
(symlink), btattach, btmon, hex2hcd, l2ping, l2test,
mpris-proxy, and rctest
Installed Library:
libbluetooth.so
Installed Directories:
/etc/bluetooth,
/usr/{include,libexec}/bluetooth, and
/usr/share/doc/bluez-5.54
Short Descriptions
|
bccmd
|
is used to issue BlueCore commands to Cambridge Silicon
Radio devices.
|
|
bluemoon
|
is a Bluemoon configuration utility.
|
|
bluetoothctl
|
is the interactive Bluetooth control program.
|
|
bluetoothd
|
is the Bluetooth daemon.
|
|
btmon
|
provides access to the Bluetooth subsystem monitor
infrastructure for reading HCI traces.
|
|
hex2hcd
|
is used to convert a file needed by Broadcom devices to
hcd (Broadcom bluetooth firmware) format.
|
|
l2ping
|
is used to send a L2CAP echo request to the Bluetooth MAC
address given in dotted hex notation.
|
|
l2test
|
is a L2CAP testing program.
|
|
rctest
|
is used to test RFCOMM communications on the Bluetooth
stack.
|
|
libbluetooth.so
|
contains the BlueZ 4 API
functions.
|
Last updated on 2020-03-17 16:14:03 -0500


Java Enumerations with Spring MVC
Collect using
@RequestParam
Sunday
Monday
Tuesday
Wednesday
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Friday
Saturday
Submit
Collect using Model object
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Submit


Home
Portfolio
Contact
Web Development Portfolio
Hey I'm Bill.
Welcome to my web development portfolio.
GitHub Followers (React)
See it live
See code
Hero Layout (React)
See it live
See code
JavaScript Data Table
See it live
See code
Google Places API
See it live
See code
Random Quote Machine
See it live
See code
JavaScript Calculator
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See code
Pomodoro Clock
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See code
Twitch.tv JSON API
See it live
See code
Camper Leaderboard
See it live
See code
Wikipedia Viewer
See it live
See code
Tic-Tac-Toe Game
See it live
See code
Simon Game
See it live
See code
Contact me:
billdevcode@gmail.com


Players
{{ player_count }}
Teams
TBD
Games Played
TBD
Favorite Character
TBD
Player Rankings
All Time
Team Rankings
All Time
{% extends "dbtemplate.html" %} {% block body %}
Players
{{ player_count }}
Teams
TBD
Games Played
TBD
Favorite Character
TBD
All Time
All Time


{% extends "base.html" %} {% block content %}
You are about to unblock {{ blocked_user.profile.get_display_name }} (~{{ blocked_user.username }}).


| Server | Services | Submissions | Executed | Active | Staging started | Archiving |
|---|---|---|---|---|---|---|
| {{k}} |
{{service}}
|
{{s.submissions}} | {{s.transfers}} | {{s.active}} | {{s.started}} | {{s.archiving}} |