SortedBag
public struct SortedBag<Element: Comparable>: SetAlgebra
A sorted collection of comparable elements; also known as a multiset.
SortedBag
is like a SortedSet
except it can contain multiple members that are equal to each other.
Lookup, insertion and removal of any element has logarithmic complexity.
SortedBag
stores duplicate elements in their entirety; it doesn’t just count multiplicities.
This is an important feature when equal elements can be distinguished by identity comparison or some other means.
(If you’re OK with just counting duplicates, use a Map
or a Dictionary
with the multiplicity as the value.)
SortedBag
is a struct with copy-on-write value semantics, like Swift’s standard collection types.
It uses an in-memory b-tree for element storage, whose individual nodes may be shared with other sorted sets or bags.
Mutating a bag whose storage is (partially or completely) shared requires copying of only O(log(count
)) elements.
(Thus, mutation of shared SortedBag
s may be cheaper than ordinary Set
s, which need to copy all elements.)
Set operations on sorted bags (such as taking the union, intersection or difference) can take as little as O(log(n)) time if the elements in the input bags aren’t too interleaved.
See also
SortedSet
-
Create an empty bag.
Declaration
Swift
public init()
-
Create a bag that holds the same members as the specified sorted set.
Complexity: O(1); the new bag simply refers to the same storage as the set.
Declaration
Swift
public init(_ set: SortedSet<Element>)
-
Create a bag from a finite sequence of items. The sequence need not be sorted. If the sequence contains duplicate items, all of them are kept, in the same order.
Complexity
O(n * log(n)), where n is the number of items in the sequence.Declaration
Swift
public init<S: Sequence>(_ elements: S) where S.Iterator.Element == Element
-
Create a bag from a sorted finite sequence of items. If the sequence contains duplicate items, all of them are kept.
Complexity
O(n), where n is the number of items in the sequence.Declaration
Swift
public init<S: Sequence>(sortedElements elements: S) where S.Iterator.Element == Element
-
Create a bag with the specified list of items. If the array literal contains duplicate items, all of them are kept.
Declaration
Swift
public init(arrayLiteral elements: Element...)
-
Returns the element at the given index.
Requires
index
originated from an unmutated copy of this set.Complexity
O(1)Declaration
Swift
public subscript(index: Index) -> Element
-
Return the subbag consisting of elements in the given range of indexes.
Requires
The indices inrange
originated from an unmutated copy of this bag.Complexity
O(log(count
))Declaration
Swift
public subscript(range: Range<Index>) -> SortedBag<Element>
-
The
past-the-end
element index; the successor of the last valid subscript argument.Complexity
O(1)Declaration
Swift
public var endIndex: Index
-
The number of elements in this bag.
Declaration
Swift
public var count: Int
-
True iff this collection has no elements.
Declaration
Swift
public var isEmpty: Bool
-
Return an iterator over all elements in this map, in ascending key order.
Declaration
Swift
public func makeIterator() -> Iterator
-
Returns the successor of the given index.
Complexity
Amortized O(1).Declaration
Swift
public func index(after index: Index) -> Index
-
Replaces the given index with its successor.
Complexity
Amortized O(1).Declaration
Swift
public func formIndex(after index: inout Index)
-
Returns the predecessor of the given index.
Complexity
Amortized O(1).Declaration
Swift
public func index(before index: Index) -> Index
-
Replaces the given index with its predecessor.
Complexity
Amortized O(1).Declaration
Swift
public func formIndex(before index: inout Index)
-
Returns an index that is at the specified distance from the given index.
Requires
index
must be a valid index of this set. Ifn
is positive, it must not exceed the distance fromindex
toendIndex
. Ifn
is negative, it must not be less than the distance fromindex
tostartIndex
.Complexity
O(log(count)) where count is the number of elements in the set.Declaration
Swift
public func index(_ i: Index, offsetBy n: Int) -> Index
-
Offsets the given index by the specified distance.
Requires
index
must be a valid index of this set. Ifn
is positive, it must not exceed the distance fromindex
toendIndex
. Ifn
is negative, it must not be less than the distance fromindex
tostartIndex
.Complexity
O(log(count)) where count is the number of elements in the bag.Declaration
Swift
public func formIndex(_ i: inout Index, offsetBy n: Int)
-
Returns an index that is at the specified distance from the given index, unless that distance is beyond a given limiting index.
Requires
index
andlimit
must be valid indices in this bag. The operation must not advance the index beyondendIndex
or beforestartIndex
.Complexity
O(log(count)) where count is the number of elements in the bag.Declaration
Swift
public func index(_ i: Index, offsetBy n: Int, limitedBy limit: Index) -> Index?
-
Offsets the given index by the specified distance, or so that it equals the given limiting index.
Requires
index
andlimit
must be valid indices in this bag. The operation must not advance the index beyondendIndex
or beforestartIndex
.Complexity
O(log(count)) where count is the number of elements in the bag.Declaration
Swift
public func formIndex(_ i: inout Index, offsetBy n: Int, limitedBy limit: Index) -> Bool
-
Returns the distance between two indices.
Requires
start
andend
must be valid indices in this bag.Complexity
O(1)Declaration
Swift
public func distance(from start: Index, to end: Index) -> Int
-
Returns the subbag containing elements in the specified range of offsets from the start of the bag.
Complexity
O(log(count
))Declaration
Swift
public subscript(offsetRange: Range<Int>) -> SortedBag<Element>
-
Returns the element at
offset
from the start of the bag.Complexity
O(log(count
))Declaration
Swift
public subscript(offset: Int) -> Element
-
If
member
is in this bag, return the offset of its first instance. Otherwise, returnnil
.Complexity
O(log(count
))Declaration
Swift
public func offset(of member: Element) -> Int?
-
Returns the offset of the element at
index
.Complexity
O(log(count
))Declaration
Swift
public func index(ofOffset offset: Int) -> Index
-
Returns the index of the element at
offset
.Requires
offset >= 0 && offset < count
Complexity
O(log(count
))Declaration
Swift
public func offset(of index: Index) -> Int
-
Call
body
on each element inself
in ascending order.Declaration
Swift
public func forEach(_ body: (Element) throws -> Void) rethrows
-
Return an
Array
containing the results of mapping transform overself
.Declaration
Swift
public func map<T>(_ transform: (Element) throws -> T) rethrows -> [T]
-
Return an
Array
containing the concatenated results of mappingtransform
overself
.Declaration
Swift
public func flatMap<S : Sequence>(_ transform: (Element) throws -> S) rethrows -> [S.Iterator.Element]
-
Return an
Array
containing the non-nil
results of mappingtransform
overself
.Declaration
Swift
public func flatMap<T>(_ transform: (Element) throws -> T?) rethrows -> [T]
-
Return an
Array
containing the elements ofself
, in ascending order, that satisfy the predicateincludeElement
.Declaration
Swift
public func filter(_ includeElement: (Element) throws -> Bool) rethrows -> [Element]
-
Return the result of repeatedly calling
combine
with an accumulated value initialized toinitial
and each element ofself
, in turn. I.e., returncombine(combine(...combine(combine(initial, self[0]), self[1]),...self[count-2]), self[count-1])
.Declaration
Swift
public func reduce<T>(_ initialResult: T, _ nextPartialResult: (T, Element) throws -> T) rethrows -> T
-
Return (the first instance of) the smallest element in the bag, or
nil
if the bag is empty.Complexity
O(log(count
))Declaration
Swift
public var first: Element?
-
Return (the last instance of) the largest element in the bag, or
nil
if the bag is empty.Complexity
O(log(count
))Declaration
Swift
public var last: Element?
-
If this bag is empty, the result is an empty bag.
Complexity
O(log(count
))Declaration
Swift
public func dropFirst() -> SortedBag
-
Return a copy of this bag with the
n
smallest elements removed. Ifn
exceeds the number of elements in the bag, the result is an empty bag.Complexity
O(log(count
))Declaration
Swift
public func dropFirst(_ n: Int) -> SortedBag
-
Return a copy of this bag with the largest element removed. If this bag is empty, the result is an empty bag.
Complexity
O(log(count
))Declaration
Swift
public func dropLast() -> SortedBag
-
Return a copy of this bag with the
n
largest elements removed. Ifn
exceeds the number of elements in the bag, the result is an empty bag.Complexity
O(log(count
))Declaration
Swift
public func dropLast(_ n: Int) -> SortedBag
-
Returns a subbag, up to
maxLength
in size, containing the smallest elements in this bag.If
maxLength
exceeds the number of elements, the result contains all the elements ofself
.Complexity
O(log(count
))Declaration
Swift
public func prefix(_ maxLength: Int) -> SortedBag
-
Returns a subbag containing all members of this bag at or before the specified index.
Complexity
O(log(count
))Declaration
Swift
public func prefix(through index: Index) -> SortedBag
-
Returns a subset containing all members of this bag less than or equal to the specified element (which may or may not be a member of this bag).
Complexity
O(log(count
))Declaration
Swift
public func prefix(through element: Element) -> SortedBag
-
Returns a subbag containing all members of this bag before the specified index.
Complexity
O(log(count
))Declaration
Swift
public func prefix(upTo end: Index) -> SortedBag
-
Returns a subbag containing all members of this bag less than the specified element (which may or may not be a member of this bag).
Complexity
O(log(count
))Declaration
Swift
public func prefix(upTo end: Element) -> SortedBag
-
Returns a subbag, up to
maxLength
in size, containing the largest elements in this bag.If
maxLength
exceeds the number of members, the result contains all the elements ofself
.Complexity
O(log(count
))Declaration
Swift
public func suffix(_ maxLength: Int) -> SortedBag
-
Returns a subbag containing all members of this bag at or after the specified index.
Complexity
O(log(count
))Declaration
Swift
public func suffix(from index: Index) -> SortedBag
-
Returns a subset containing all members of this bag greater than or equal to the specified element (which may or may not be a member of this bag).
Complexity
O(log(count
))Declaration
Swift
public func suffix(from element: Element) -> SortedBag
-
A textual representation of this bag.
Declaration
Swift
public var description: String
-
A textual representation of this bag, suitable for debugging.
Declaration
Swift
public var debugDescription: String
-
Return true if the bag contains
element
.Complexity
O(log(count
))Declaration
Swift
public func contains(_ element: Element) -> Bool
-
Returns the multiplicity of
member
in this bag, i.e. the number of instances ofmember
contained in the bag. Returns 0 ifmember
is not an element.Complexity
O(log(count
))Declaration
Swift
public func count(of member: Element) -> Int
-
Returns the index of the first instance of a given member, or
nil
if the member is not present in the bag.Complexity
O(log(count
))Declaration
Swift
public func index(of member: Element) -> BTreeIndex<Element, Void>?
-
Returns the index of the lowest member of this bag that is strictly greater than
element
, ornil
if there is no such element.This function never returns
endIndex
. (If it returns non-nil, the returned index can be used to subscript the bag.)Complexity
O(log(count
))Declaration
Swift
public func indexOfFirstElement(after element: Element) -> BTreeIndex<Element, Void>?
-
Returns the index of the lowest member of this bag that is greater than or equal to
element
, ornil
if there is no such element.This function never returns
endIndex
. (If it returns non-nil, the returned index can be used to subscript the bag.)Complexity
O(log(count
))Declaration
Swift
public func indexOfFirstElement(notBefore element: Element) -> BTreeIndex<Element, Void>?
-
Returns the index of the highest member of this bag that is strictly less than
element
, ornil
if there is no such element.This function never returns
endIndex
. (If it returns non-nil, the returned index can be used to subscript the bag.)Complexity
O(log(count
))Declaration
Swift
public func indexOfLastElement(before element: Element) -> BTreeIndex<Element, Void>?
-
Returns the index of the highest member of this bag that is less than or equal to
element
, ornil
if there is no such element.This function never returns
endIndex
. (If it returns non-nil, the returned index can be used to subscript the bag.)Complexity
O(log(count
))Declaration
Swift
public func indexOfLastElement(notAfter element: Element) -> BTreeIndex<Element, Void>?
-
Return
true
iffself
andother
contain the same number of instances of all the same elements.This method skips over shared subtrees when possible; this can drastically improve performance when the two bags are divergent mutations originating from the same value.
Complexity
O(count
)Declaration
Swift
public func elementsEqual(_ other: SortedBag<Element>) -> Bool
-
Returns
true
iffa
contains the exact same elements asb
, including multiplicities.This function skips over shared subtrees when possible; this can drastically improve performance when the two bags are divergent mutations originating from the same value.
Complexity
O(count
)Declaration
Swift
public static func ==(a: SortedBag<Element>, b: SortedBag<Element>) -> Bool
-
Returns
true
iff no members in this bag are also included inother
.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags may be skipped instead of elementwise processing, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func isDisjoint(with other: SortedBag<Element>) -> Bool
- O(min(
-
Returns
true
iff all members in this bag are also included inother
.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags may be skipped instead of elementwise processing, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func isSubset(of other: SortedBag<Element>) -> Bool
- O(min(
-
Returns
true
iff all members in this bag are also included inother
, but the two bags aren’t equal.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags may be skipped instead of elementwise processing, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func isStrictSubset(of other: SortedBag<Element>) -> Bool
- O(min(
-
Returns
true
iff all members inother
are also included in this bag.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags may be skipped instead of elementwise processing, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func isSuperset(of other: SortedBag<Element>) -> Bool
- O(min(
-
Returns
true
iff all members inother
are also included in this bag, but the two bags aren’t equal.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags may be skipped instead of elementwise processing, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func isStrictSuperset(of other: SortedBag<Element>) -> Bool
- O(min(
-
Unconditionally insert a new member into the bag, adding another instance if the member was already present.
The new member is inserted after its existing instances, if any. (This is important when equal members can be distinguished by identity comparison or some other means.)
Note
SetAlgebra
requiresinsert
to do nothing and return(false, member)
if the set already contains a matching element.SortedBag
ignores this requirement and always inserts a new copy of the specified element.Parameter
Parameter newMember: An element to insert into the set.
Returns
(true, newMember)
to satisfy the syntactic requirements of theSetAlgebra
protocol.Complexity
O(log(
count
))Declaration
Swift
public mutating func insert(_ newMember: Element) -> (inserted: Bool, memberAfterInsert: Element)
Parameters
newMember
An element to insert into the set.
Return Value
(true, newMember)
to satisfy the syntactic requirements of theSetAlgebra
protocol. -
Unconditionally insert a new member into the bag, adding another instance if the member was already present.
The new member is inserted before its existing instances, if any. (This is important when equal members can be distinguished by identity comparison or some other means.)
Note
SetAlgebra
requiresupdate
to replace and return an existing member if the set already contains a matching element.SortedBag
ignores this requirement and always inserts a new copy of the specified element.Parameter
Parameter newMember: An element to insert into the set.
Returns
Always returns
nil
, to satisfy the syntactic requirements of theSetAlgebra
protocol.Declaration
Swift
public mutating func update(with newMember: Element) -> Element?
Parameters
newMember
An element to insert into the set.
Return Value
Always returns
nil
, to satisfy the syntactic requirements of theSetAlgebra
protocol.
-
Remove and return the first instance of
member
from the bag, or returnnil
if the bag contains no instances ofmember
.Complexity
O(log(count
))Declaration
Swift
public mutating func remove(_ member: Element) -> Element?
-
Remove all instances of
member
from the bag.Complexity
O(log(count
))Declaration
Swift
public mutating func removeAll(_ member: Element)
-
Remove the member referenced by the given index.
Complexity
O(log(count
))Declaration
Swift
public mutating func remove(at index: Index) -> Element
-
Remove the member at the given offset.
Complexity
O(log(count
))Declaration
Swift
public mutating func remove(atOffset offset: Int) -> Element
-
Remove and return the smallest member in this bag, or return
nil
if the bag is empty.Complexity
O(log(count
))Declaration
Swift
public mutating func popFirst() -> Element?
-
Remove and return the largest member in this bag, or return
nil
if the bag is empty.Complexity
O(log(count
))Declaration
Swift
public mutating func popLast() -> Element?
-
Remove all members from this bag.
Declaration
Swift
public mutating func removeAll()
-
Return a bag containing all members from both this bag and
other
. The result contains all elements of duplicate members from both bags.Elements from
other
follow matching elements fromthis
in the result.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(
self.count
+other.count
) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func union(_ other: SortedBag<Element>) -> SortedBag<Element>
- O(
-
Add all members in
other
to this bag, also keeping all existing instances already inself
.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input sets will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(
self.count
+other.count
) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public mutating func formUnion(_ other: SortedBag<Element>)
- O(
-
Return a set consisting of all members in
other
that are also in this bag. For duplicate members, only as many instances fromother
are kept in the result that appear inself
.The elements of the two input sets may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input sets will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func intersection(_ other: SortedBag<Element>) -> SortedBag<Element>
- O(min(
-
Remove all members from this bag that are not also included in
other
. For duplicate members, only as many instances fromself
are kept that appear inother
.The elements of the two input sets may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input sets will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public mutating func formIntersection(_ other: SortedBag<Element>)
- O(min(
-
Return a bag containing those members of this bag that aren’t also included in
other
. For duplicate members whose multiplicity exceeds that of matching members inother
, the extra members are kept in the result.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func subtracting(_ other: SortedBag) -> SortedBag
- O(min(
-
Remove all members from this bag that are also included in
other
. For duplicate members whose multiplicity exceeds that of matching members inother
, the extra members aren’t removed.The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public mutating func subtract(_ other: SortedBag)
- O(min(
-
Return a bag consisting of members from
self
andother
that aren’t in both bags at once. For members whose multiplicity is different in the two bags, the last d members from the bag with the greater multiplicity is kept in the result (where d is the absolute difference of multiplicities).The elements of the two input bags may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input bags will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public func symmetricDifference(_ other: SortedBag<Element>) -> SortedBag<Element>
- O(min(
-
Replace
self
with a set consisting of members fromself
andother
that aren’t in both sets at once.The elements of the two input sets may be freely interleaved. However, if there are long runs of non-interleaved elements, parts of the input sets will be simply linked into the result instead of copying, which can drastically improve performance.
Complexity
- O(min(
self.count
,other.count
)) in general. - O(log(
self.count
+other.count
)) if there are only a constant amount of interleaving element runs.
Declaration
Swift
public mutating func formSymmetricDifference(_ other: SortedBag<Element>)
- O(min(
-
Return the count of elements in this bag that are in
range
.Complexity
O(log(self.count
))Declaration
Swift
public func count(elementsIn range: Range<Element>) -> Int
-
Return the count of elements in this bag that are in
range
.Complexity
O(log(self.count
))Declaration
Swift
public func count(elementsIn range: ClosedRange<Element>) -> Int
-
Return a bag consisting of all members in
self
that are also inrange
.Complexity
O(log(self.count
))Declaration
Swift
public func intersection(elementsIn range: Range<Element>) -> SortedBag<Element>
-
Return a bag consisting of all members in
self
that are also inrange
.Complexity
O(log(self.count
))Declaration
Swift
public func intersection(elementsIn range: ClosedRange<Element>) -> SortedBag<Element>
-
Remove all members from this bag that are not included in
range
.Complexity
O(log(self.count
))Declaration
Swift
public mutating func formIntersection(elementsIn range: Range<Element>)
-
Remove all members from this bag that are not included in
range
.Complexity
O(log(self.count
))Declaration
Swift
public mutating func formIntersection(elementsIn range: ClosedRange<Element>)
-
Remove all elements in
range
from this bag.Complexity
O(log(self.count
))Declaration
Swift
public mutating func subtract(elementsIn range: Range<Element>)
-
Remove all elements in
range
from this bag.Complexity
O(log(self.count
))Declaration
Swift
public mutating func subtract(elementsIn range: ClosedRange<Element>)
-
Return a bag containing those members of this bag that aren’t also included in
range
.Complexity
O(log(self.count
))Declaration
Swift
public mutating func subtracting(elementsIn range: Range<Element>) -> SortedBag<Element>
-
Return a bag containing those members of this bag that aren’t also included in
range
.Complexity
O(log(self.count
))Declaration
Swift
public mutating func subtracting(elementsIn range: ClosedRange<Element>) -> SortedBag<Element>
-
Shift the value of all elements starting at
start
bydelta
. For a positivedelta
, this shifts elements to the right, creating an empty gap instart ..< start + delta
. For a negativedelta
, this shifts elements to the left, removing any elements in the rangestart + delta ..< start
that were previously in the bag.Complexity
O(self.count
). The elements are modified in place.Declaration
Swift
public mutating func shift(startingAt start: Element, by delta: Element.Stride)
-
Shift the value of all elements starting at index
start
bydelta
.This variant does not ever remove elements from the bag; if
delta
is negative, its absolute value must not be greater than the difference between the element atstart
and the element previous to it (if any).Requires
`start == self.startIndex || self[self.index(before: startIndex)] <= self[index] + deltaComplexity
O(self.count
). The elements are modified in place.Declaration
Swift
public mutating func shift(startingAt start: Index, by delta: Element.Stride)


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Match Play. Red trails 0-2 to 7. Should Red redouble? If redoubled, should White take?
pips Red=129 White=102
(CorrectAnswer= 0/0, ErrorScore= 0)
A redouble in this position for money would be horrendous and would correctly be met by a swift beaver.
The match score changes everything. A redoubled gammon gives Red the match and now it is a blunder not to redouble. If the cube was still in the centre then the position would not be a double.
Once you think about it logically the redouble becomes clear but a high percentage of players would miss this redouble simply because they would never consider it because they would think about the position in money-game mode.
Our understanding of match play doubling is really still in its infancy but positions like this help us to build our knowledge base.
The match score changes everything. A redoubled gammon gives Red the match and now it is a blunder not to redouble. If the cube was still in the centre then the position would not be a double.
Once you think about it logically the redouble becomes clear but a high percentage of players would miss this redouble simply because they would never consider it because they would think about the position in money-game mode.
Our understanding of match play doubling is really still in its infancy but positions like this help us to build our knowledge base.
Cube analysis 2-ply cubeless equity +0.011 (Money: +0.013) 0.549 0.145 0.005 - 0.451 0.229 0.006 Cubeful equities: 1. Double, take +0.405 2. Double, pass +1.000 (+0.595) 3. No double +0.322 (-0.083) Proper cube action: Redouble, take


We would like to present a high quality linen products and share their colorful design with you. We linen. We are offering hand painted and laser printed textiles. All our products were designed and manufactured in Poland.
You like our fashion, but you also love platypus? No worries. We can arrange a meeting with our designer and price the custom project. It can take some time, but eventually you will receive something unique.
We are just starting and we don't have online shop yet. We are selling our products using ebay auctions. Do you have any questions? Contact us.
Examples of our patterns


This div element has a top margin of 25px, a right margin of 50px, a bottom margin of 75px, and a left margin of 100px.
In this example the h1 element has a bottom margin of 50px and the h2 element has a top margin of 20px. Then, the vertical margin between h1 and h2 should have been 70px (50px + 20px). However, due to margin collapse, the actual margin ends up being 50px.


Wind Chaim Photo Wall Hanging Wall Clock Rs.1000.00 Rs.1200.00 Rs.1500.00 Photo Wall Hanging Photo Wind Chaim(1) Photo Wind Chaim(2) Rs.1000.00 Rs.1200.00 Rs.1200.00 Photo Clock(1) Photo Name Photo Wind Chaim(3) Rs1500.00 (Wall hanging) Rs.1200.00 Rs.2500.00


This program augments Outpost Packet Message Manager, adding forms that are used for emergency communication by ARES and RACES in Santa Clara County, California. It uses a web browser to display and edit forms.
Install Outpost before installing this program. Then, download a Setup.exe file from the releases page and run it. After installation is complete, exit and restart Outpost.
Antivirus or firewall products may resist installation. Here's how to overcome their resistance:
Windows Smart Screen may prevent an "unrecognized app" from starting. Click "More Info" and then "Run Anyway."
Windows Firewall may ask to allow {{PROGRAM_PATH}} to communicate on a network. Check the box for "Private networks" and click "Allow access", or click "Cancel".
Norton Security may quarantine the installer. Open the Norton Security program, click "Security", click "History", select "Show Quarantine" and restore the installer. When creating or opening a message, Norton may pop up a message, "Suspicious network activity has been detected." Select "Allow this instance", check "Do not notify me again" and click "OK".
Avast antivirus might say "This file might be dangerous - It's been submitted for interrogation." Click "More details" and then "I trust this file." Next, open Avast settings, select the "General" tab, check "allow me to decide" under "Enable CyberCapture" and try again to run the installer. Then you'll have to wait for a few minutes, until its interrogation is complete. Or Avast might say "this file may contain something bad," or "CyberCapture has been activated. You've discovered a very rare file." After a minute, it might simply say "no problems found" and continue, without your intervention. Or it might show a link you can click to run the program anyway.
Comodo Firewall may ask whether to allow the program to do things. For the installer Setup.exe, click "Treat as Installer or Updater." For the program {{PROGRAM_PATH}}, check "Remember my answer" and click "Allow."
Uninstall as you would any program. For example on Windows 8, open the control panel "Programs and Features", select "{{DisplayName}}" and click "Uninstall". If you don't see the program in the control panel, try closing and re-opening the control panel. If that fails, try running the program {{INSTDIR}}\uninstall.exe. After uninstallation is complete, exit and restart Outpost.
For a silent install, run the installer with option /S
.
To specify an installation folder, add the option /D=C:\YourFolder
.
The /D= option
must be last, and the folder name must not be surrounded by quotes.
Beware: a folder name that contains whitepsace won't work with Outpost version 3.2 c118.
For a silent uninstall, run .\uninstall.exe /S
in the folder where the program is installed.
To create a new message, click an item in the 'Forms' menu of Outpost. A browser page will pop up, with fields where you enter data. Fields outlined in red require your input, sometimes in a specific format. The red outline will disappear when you enter data in the right format. Once you've filled in all the data, click the 'Submit to Outpost' button at the top. If all goes well, the browser page will say the message was submitted to Outpost, and the plain text message will pop up in another window. Fill in the 'To' address and click 'Send' or 'Save'. The message will go into Outpost's Out Tray if you click 'Send', or into Draft Msgs if you click 'Save'. After submitting the message to Outpost, you can close the form in your browser.
To edit a message before you send it, select it in an Outpost folder and click 'Open' or press the Enter key. A browser page will pop up. Edit the data, click 'Submit to Outpost' and click 'Send' or 'Save'. Outpost won't send the message to the BBS until after you click 'Send' in the text message window. (That's because the message is marked as a 'Draft' when you start editing it.)
Opening a message that's already been sent, or received from another station, will pop up a read-only view of the form in your browser. If you want to see the plain text message, select the message in an Outpost folder and click 'Open enhanced msg as text' in the Outpost 'Actions' menu.
To give someone a copy of a form, you can print it or save it as a PDF file. To create a PDF file, press Control+P and then choose a PDF writer instead of a printer. In Google Chrome, you can choose 'Save as PDF'. On Windows 10, you can choose 'Microsoft Print to PDF'. On older versions of Windows, you can add a PDF writer to your print dialog by installing Cute PDF or Bullzip.
You can use forms even if you can't use Outpost, for example if Outpost hasn't been installed and you can't install it. Run {{INSTDIR}}\manual.cmd. It will open a page in your browser, with buttons you can use to either open a form to create a message (which you can copy and paste into a BBS session), or view a received message as a form.
If something's not right, please report it by posting to the
packet discussion group.
Please say what versions of browser, Outpost and Windows you used.
To help isolate the problem, please attach the version.txt
file from {{INSTDIR}},
all the files from the logs
sub-folder,
and a screenshot of a browser page (if any).
Power users might learn more by editing addons\*.ini, changing each occurrence of XXX\wscript.exe YYY\launch.js to YYY\launch-v.cmd and observing the console windows that pop up. The source code for {{PROGRAM_PATH}} is bin\Outpost_Forms.js.


Build a team to take you from Cardboard IV to Gold II
Must fill in all 5 summoner slots. You can choose a champion and position for a summoner if you wish. If blank, they will be assigned to a role that will create the best team |
Teams will be built using our secret "Best Lineup" algorithm. Teams will include at least 1 tank and 1 mage. |
| Role: |
| Role: |
| Role: |
| Role: |
| Role: |
| Champion | Total Games | Win Percentage | Wins | Losses | Average Kills | Average Deaths | Average Assists | Average Farm | Mid Score | Top Score | Adc Score | Support Score | Jungle Score |
|---|


Test different script loading scenarios to see if an error callback is given on the script tag.
Press the button and check console for output. There should be a log message for each button.


Trusted By
1700+ seats filled
Registered students in ScioVirtual courses
13,500+ hours
Instructed by high school and university mentors
70+ hours
Courses ranging all science disciplines
Mentorship from state and national-level medalists
Instructors include national and state medalists with extensive competitive experience. Veteran instructors mentor students to develop a toolkit to think scientifically and study effectively outside of class.
All profits go to charities helping with COVID-19 relief
All profits from our affordable registration fees are donated to the Community FoodBank. With the ongoing pandemic, child hunger has been exacerbated. Financial aid is provided for all courses.
Stay connected with students across the country
Instructors include national and state medalists with extensive competitive experience. Veteran instructors mentor students to develop a toolkit to think scientifically and study effectively outside of class.
"The teachers are really helpful and knowledgeable. They make the kids understand how things work and also tell the kids their own experiences."
- Dhruv, Parent of 6th grader
"I enjoy learning about all of these different topics from students who have already gone through these sorts of programs."
- Tanav, 8th Grade Student
"I love the kindness and patience of the instructors. I really can't think of a way to make my experience any better. "
- 6th Grade Student
"My daughter is really enjoying the courses! Didn’t expect that virtual classes can be so interesting and fun-filled."
- Akshara, Parent of 7th grader
"I appreciate that my son is engaged and enjoys learning new material. School is usually boring for him, but the courses have him stretched to learn new things!"
- Parent of 5th Grader
"Was super fun and exciting. The courses taught me the basic knowledge of science and how to get better at competitive science."
- Emily, 7th Grade Student
"My favorite thing about the courses is what I have learned, there is nowhere else like ScioVirtual where you can learn so much, so quickly, in a fun and helpful environment."
- Sophia, an 8th-grade student
"I enjoy that we are able to do what we enjoy and understand more about that particular field."
- 8th Grade Student


I'm Cheap: Products I Pay For Have to Be Awesome
I don't like to spend money frivolously. I am a minimalist and am very frugal with my money. Due to my frugality a service has to be pretty incredible for me to pay for it. I find myself being a hard conversion use case. There are even services that I find mind-blowing and can't live without, but I don't pay for.
With the movement towards subscription SaaS products I'm surprised I don't pay for more services. When software still had the concept of ownership I used to pay ownership fees. This comes from when I used to trade warez on BBS sites.
If your old enough to remember the BBS scene, you had probably encountered warez at some point. The warez scene used to say pirate everything except software you use and appreciate. You want to support the developers which build things that are incredible. I remember many warez distributors paying for everything id released. They wanted to give back to the developers of the software they loved. With the introduction of subscription SaaS models, the support the developer concept still applies, they just have to hook you faster with their 30-day trials.
Products I Pay For
Since the rules (and models) have changed I try to support developers when I can. Developers who are building awesome software I always support. If I don't, they may not be around for me to use their product. Supporting one-and-two man shops are always preferable over the man with once exception. If open source software is released doing the same thing the one-and-two man shop is doing, I support the one-and-two man shop.
Here is the list of products I pay for:
Amazon Prime - Upon noticing I was ordering more than 5 items from Amazon a year, I decided to get prime. Once I had prime it has made ordering things from Amazon even easier. Just having prime saves me time by not having to drive to the store. I also get the excited feeling when I get something in the mail.
iDoneThis - An amazing productivity app. You send an email to the service of what you've gotten done and they store the information indefinitely. iDoneThis is powerful when working at an organization which requires status reports. Using iDoneThis regularly you just look back at what you put into the system and copy and past.
Buffer - Buffer is a service which delays your tweets. I do most of my reading and research on Sunday. Buffer allows me to get all my tweets lined up for the week while I'm doing my research. The tweets then get posted at their scheduled times. I still tweet thoughts that I have through out the week, but buffer has kept me to a schedule and I love that.
Netflix - I originally signed up for Netflix in 2000. I remember how incredible the service sounded at the time. I couldn't understand how Netflix made money if they didn't charge late fees. I now only receive one DVD, which is reserved for my daughter to get movies, and my wife and I use their instant service like no tomorrow.
1password - 1password saves and generates passwords for applications and websites. Coming from the security space, this is invaluable and I recommend everyone purchase it. They integrate into browsers so logging in is one click away. Their licenses are user licenses. So if you want your passwords synced across 3 different Mac Book Pros you only have to pay for one license. Hook it up to Dropbox and all your passwords are synced across machines.
Products I Don't Pay For
I use many products I couldn't live without and I don't pay for them. I think the company hasn't yet found the right balance of pain in the freemium model. All of these services I would be willing to pay for, but their freemium products are good enough I don't see value in converting at this time.
Evernote - I found out how awesome Evernote was, once I discovered the web clipper extension for Chrome. I used to use delicious to store bookmarks, but found I couldn't always find what I previously saved. The Evernote web clipper takes the whole page and indexes it. Super simple to find things I have previously read.
Dropbox - I already mentioned I use Dropbox with 1password, but I don't pay for it. I think the service is incredibly valuable, but haven't had the need to go over my current 2.4G of bandwidth.
Spotify - I have already talked about why I find Spotify so great, but haven't had the need yet to convert to a paying user.
FourSquare - Although FourSquare doesn't have a way to convert I love using the product. My use case though is a little different than most people.
Hopefully this demonstrate how cheap I am. I love finding new services and products I previously didn't know about. What services could you not live without but aren't currently paying for?


home
recipes
about me
contact
Breakfast
Blueberry Pancakes
Grilled Cheese
Fried Eggs
Lunch
French Fries
Garlic Pasta
Apple Salad
Dinner
Cheese Pizza
Eggplant Parmesan
Tomato Soup


class Gem::Resolver::Molinillo::NoSuchDependencyError
An error caused by searching for a dependency that is completely unknown, i.e. has no versions available whatsoever.
Attributes
dependency[RW]
@return [Object] the dependency that could not be found
required_by[RW]
@return [Array<Object>] the specifications that depended upon {#dependency}
Public Class Methods
new(dependency, required_by = [])
click to toggle source
Initializes a new error with the given missing dependency. @param [Object] dependency @see {#dependency} @param [Array<Object>] #required_by @see {#required_by}
Calls superclass method
Exception.new
# File lib/rubygems/resolver/molinillo/lib/molinillo/errors.rb, line 17 def initialize(dependency, required_by = []) @dependency = dependency @required_by = required_by super() end
Public Instance Methods
message()
click to toggle source
The error message for the missing dependency, including the specifications that had this dependency.
# File lib/rubygems/resolver/molinillo/lib/molinillo/errors.rb, line 25 def message sources = required_by.map { |r| "`#{r}`" }.join(' and ') message = "Unable to find a specification for `#{dependency}`" message += " depended upon by #{sources}" unless sources.empty? message end


| Days / Periods | I | II | III | IV | V | VI | VII | |
|---|---|---|---|---|---|---|---|---|
| MONDAY | Social Sci. | Science | English | Hindi | B R E A K | Games | Computer | Moral Science |
| TUESDAY | Science | English | Social Sci. | Hindi | Games | Computer | Moral Science | |
| WEDNESDAY | Science | Social Sci. | English | Hindi | Games | Computer | Moral Science | |
| THURSDAY | Science | English | Hindi | Games | Computer | Social Sci. | ||
| FRIDAY | Science | English | Hindi | Games | Computer | Moral Science | Social Sci. | |
| SATURDAY | Science | English | Hindi | Games | Computer | Social Sci. | ||
| THIS IS A REGULAR TIME TABLE FOR CLASS 6th 'B' |


When New Years Eve rolls around, I like to be at home. Not my apartment back in Rochester, but my home in the sleepy suburbs of Metro Detroit. Every year more and more of my Facebook friends celebrate New Years jet setting to big cities across the globe. Any other part of the year, I would experience a tingle of “FOMO” (fear of missing out). But for New Years, I like to be at home base. Although every year the TV commentators get more annoying, I enjoy watching the count-down and the Times Square ball drop from the comfort of my couch, in the home I grew up in.
It has been 365+ days since the start of 2015. A year ago today, I’m pretty sure I came up with a list of goals I wanted to achieve and experiences I wanted to have in 2015. Looking back, the only thing I can remember from that list is “read more.” I probably should have been more specific because the majority of reading I’ve done in 2015 has been on the Internet. This isn’t necessarily a bad thing — in fact, I think it’s a reflection of the world we live in today.
All the reading coupled with events in my daily life, can be boiled down into three overarching themes:
The measure of an engineer is more than code
I spent most of 2015 inundated with articles about
- The lack of Women in STEM
- The Unfortunate Byproducts “Hacker Culture” has brought to Tech
- The Gender Divide in STEM and Corporate Leadership
Thankfully, 2015 has amazed me by initiatives such as:
- #ILookLikeAnEngineer
- Girls Who Code (and the pledge to hire GWC alumni)
- Goldie Blox (if you didn’t see their latest ad, you’ll have to settle for their backstage one)
- Amy Poehler’s Smart Girls
- Malala Fund (she amazes me every time)
- HeForShe
- Barbie’s Imagine the Possibilities Campaign
In 2015, I have directly or indirectly taken on several roles:
- Software Test Developer
- Open Source Contributor
- Project Management
- Technical & Professional Development Mentor for New Hires & Interns
- Intern for an Intellectual Property Review Board
- IBM Patent/Disclosure Writer
- Onsite initiatives leader
- Graphic Design and Content Creator
2015 has given me plenty of opportunities to exercise my engineering abilities beyond software engineering, and beyond code. I have been able to harness my problem solving, technical communication, and even graphic design skills. One of the most valuable skills I picked up in college was “learning on the fly” — and 2015 allowed me to flex that muscle on site. The measure of an engineer is more than code — at the heart of every engineer is a burning desire to learn and solve problems. This is a key facet that I want people to remember in 2016, and beyond.
Looking forward to 2016, I realize that there are going to be several trials and tribulations; for me, for our industry, and for our world. As with most industries, I think STEM related industries are on the cusp of massive change. Now more than ever, it’s critical that we engage in deep learning, and we take control of the narrative.
In 2016, I want to engage in deep learning to understand problems, and solve them beyond the surface level. I want to be able to be an expert in something technical — to know everything about a certain subject inside and out. At the tail end of 2015, I was given the opportunity to work in the Docker open source community — by the end of 2016, I want to be an expert.
In 2016, I’d like to engage in deep learning to solve problems on a global scale related to women in STEM. I want to see a greater push in k-12 STEM initiatives to look beyond coding. And I’d like to shed light on the issues that affect our collegiates in STEM. Most importantly, I’d like to hear the stories of Women at IBM, and I’d to be a part of the force that shares them with all of you; because so far, I’ve met some of the most amazing, kick-ass professional women here at IBM.
 Surrounding yourself with the best people doesn’t make you look worse by comparison. It makes you better.”
— Ann Friedman
If you haven’t heard of “Shine Theory” (coined by Ann Friedman, and summarized by the quote above) take a quick read of this article or listen to this podcast.
When I started working for IBM, I was the youngest female in my department by at least 10 years. I was probably one of 10 youngest female engineers on site. In May, our team hired a new grad — Kendall. She is incredibly smart, funny, stylish, and hard working. We have a lot in common, most notably, our ambition. Truthfully, my instincts made me view her as a rival when she started. Because she was, as Friedman said, “intimidatingly witty, stylish, beautiful, and [becoming] professionally accomplished.” Attending the SWE annual conference (we15) in Nashville was the wakeup call I needed. Kendall is the work-bff I have been waiting for. Listening to her talk about her goals, and seeing her growth as a technical leader within the OpenStack Cinder project, has been motivating. Seeing her shine technically makes me want to shine too.
Shine Theory is real if you want it to be. Having the smartest, most ambitious, and energetic women in your corner is the biggest confidence boost.It is also the type of confidence that is infectious. In 2016, I’d like to continue to be an advocate and ally for Kendall, and for women like us that are growing their careers at IBM. I’d like to be a better mentor, and I’d like us all to shine together. If you are a future IBMer, a current IBMer, or someone who wants to give Shine Theory a shot, don’t hesitate to reach out.
“I don’t shine if you don’t shine.”
— Aminatou Sow
Together, we’ll shine brighter.
You Control Your Narrative
I spent a lot of time in 2015 doubting myself, and my decisions. Am I cut out to be an engineer? Should I have gone to Silicon Valley to start my career? Am I happy with the position I’m in today? Should I pursue grad school? Reflecting on these questions, I think most of my self-doubt stems from fact that I don’t have a clear vision for my future.
I’ve struggled with writing this post. Between word docs, notebook paper, and sticky notes, I think I’ve come up with 20 distinct versions of this post. They all vary in tone and content, and were shaped by the mood I was in. Most of these drafts served as ways for me to diffuse the self doubt. This version, this final version, is me getting comfortable with the self doubt.
Moving to Silicon Valley or to any other tech hubs would have been excellent start to my career. But considering all the experiences I have had over the last 1.5 years in Rochester Minnesota, I think it’s fair to say if you surround yourself with amazing people, amazing opportunities will be right around the corner.
This past year I
- Attended 3 conferences (SWE Region H, we15, and DockerCon)
- Became a leader of 3 initiatives onsite
- Gave 1 tech talk
- Recruited at my alma mater
- Attended 2 Michigan Home Games (including Jim Harbaugh’s first home game as Head Coach)
- Was nominated to be a part of two global initiatives (1 as an individual, and 1 as a part of a team)
- Was selected to speak at a conference in 2016
I have been able to work with people across the globe. I have gained mentors that have guided me through difficult decisions. And I am a part of a team that supports me in my endeavors, advocates for me, and continues to push me outside my comfort zone. The power of working for a global company is that there is an endless supply of role models, mentors, experts, and friends that are only a few keystrokes away. Thank you for believing in me, and for being the epitome of #squadgoals.
I know that in this moment I’m not sure where I want my career to go. But I know that I’m closer to figuring this out compared to where I was Jan 1st 2015. In 2016, I’d like to boost my creative confidence. I think if I have more opportunities like this — to write, to find my voice, to share my narrative — I’ll be more confident and reassured with the bigger decisions I have to make in the future. I’d also like to document 2016 by taking a photo everyday.
I also know that I have several opportunities with the advent of 2016 that will shape my career moving forward. I’m excited to see where I end up Jan 1st 2017.
Hi 2016. You have big shoes to fill, but I think we are going to have a pretty good time together. I’m looking forward to more memorable moments, building new friendships, and learning more.
Cheers 2016. Thanks for giving me the inspiration I needed to get this post out of my head and onto the screen. Thanks for giving Michigan a well deserved bowl game victory. Looking forward to seeing what’s going to happen next.


Deacon summarizes Part 3 as follows:
"Having laid the groundwork for an expanded science capable of encompassing these basic absential relations, I explore a few of the implications for reformulating theories of work, information, evolution, self, sentience, and value. This is a vast territory, and in these final chapters I only intend to hint at the ways that this figure/background shift in perspective necessarily reformulates how these fundamental concepts need to be reconsidered."
2013-05-18 ~ The effort to summarize chapters 11-17 and the epilogue is still at a fairly early stage. A first pass has been made on most chapters that collects the key words and summarizes text section by section. Several more passes need to be made in order to bring the effort up to the level of part 1.


This is the partial for view 2.
{{ welcomeMessage }}
Showing of 'interpolate' filter: {{ 'Current version is v%VERSION%.' | interpolate }}


[gecode-users] Memory problem
Gustavo Gutierrez
ggutierrez at atlas.puj.edu.co
Thu Aug 28 12:53:24 CEST 2008
On Thu, Aug 28, 2008 at 9:20 AM, Guido Tack <tack at ps.uni-sb.de> wrote:
> I tried to find out more about the Mac OS malloc.
>
> Apparently, Mac OS never frees blocks that are smaller than 15359 bytes,
> but rather tries to reuse them for further mallocs in the same process.
> http://kevin.sb.org/2007/07/05/malloc-free-space-not-reclaimed/
>
> I tried replacing malloc with ptmalloc3 (as suggested in that article), and
> it completely solves the problem.
>
Now I am wondering if the same problem can occur when using gecode in the
*normal* way, i mean, with gecode search engines as in the examples. Any
comment?
Regards,
Gustavo
> Cheers,
> Guido
>
>
--
Gustavo Gutierrez
-------------- next part --------------
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JUST IN: Canoe conveying Nation’s Editor capsizes in Bayelsa
By Raymond Mordi
The canoe that was to take The Nation’s Deputy Political Editor, Raymond Mordi, out of Sampou community, in Kolokuma/Opokuma Local Government, tipped over and capsized as another reporter stepped unto it.
He sustained injury on his right hand and right leg.
The canoe carries a maximum of four persons but in spite of entreaties not to come in, a fifth person entered the canoe and forcefully too, forcing it to capsize.
Luckily, it is still in shallow waters.
“Afterwards everyone scampered for safety. We had to look for another canoe to convey us to where our vehicles were parked,” he said.
Sampou is the village of the Peoples Democratic Party (PDP) governorship candidate Senator Douye Diri.
Ordinarily, it is accessible by road but has been flooded, making vehicular access impossible.


benCoding.Android.Tools
A collection of utilities designed to make working with Titanium on Android alittle easier.

Before you start
 This is an Android only module Before using this module you first need to install the package. If you need instructions on how to install a 3rd party module please read this installation guide.

Download the release

The go to the dist folder. This will have a release compiled for anyone download it from github.

Building from source?

If you are building from source you will need to do the following: Modify your build.properties to reflect the path to your android and other directors You might need to update your .classpath depending on your setup.

Setup

 var tools = require('bencoding.android.tools');

Platform Methods
 The platform methods proxy provides access to several helpful Android apis not currently exposed in the core Titanium SDK.
To learn more about these please visit the documentation here or the examples here.

BootReceiver
 The BootReceiver proxy provides extended functionality for handling the BOOT_COMPLETED system broadcast.
To learn more about these please visit the documentation here or the examples here.

Licensing & Support

This project is licensed under the OSI approved Apache Public License (version 2). For details please see the license associated with each project.
Developed by Ben Bahrenburg available on twitter @benCoding

Learn More

Examples
 Please check the module's example folder or view the sample on github .

Twitter

Please consider following the @benCoding Twitter for updates and more about Titanium.

Blog

For module updates, Titanium tutorials and more please check out my blog at benCoding.Com.


Before Change
broadcasted = Broadcast.apply(target_gpus, mean, std)
for v, (mean, std) in zip(self._registry.values(), broadcasted[1:]):
v.result.put((mean, std))
for i in range(self.nr_children):
assert self._queue.get() is True
return broadcasted[0]
After Change
broadcasted = Broadcast.apply(target_gpus, mean, std)
for i, rec in enumerate(intermediate):
if i == 0:
continue
mean, std = broadcasted[i*2:i*2+2]
self._registry[rec.identifier].result.put((mean, std))
for i in range(self.nr_children):
assert self._queue.get() is True
return broadcasted[0:2]


Location
Our Story
Day of the Wedding
Lodging
RSVP
Wedding Party
Home
Click on a picture
for more info
on any of these
beautiful people
Lindsay Newton
Maid of Honor
Katie Tankersley
Bridesmaid
Stephanie Lowe
Bridesmaid
Shawna Waldrip
Bridesmaid
Wendy Kintner
Bridesmaid
Brady Lewis
King of Awesome
Brady Lewis
King of Awesome
Brady Lewis
King of Awesome
Brady Lewis
King of Awesome
Brady Lewis
King of Awesome


--- layout: documentation title: SightingType ---
Describes a single sighting of an indicator.
| Field Name | Type | Description |
|---|---|---|
| @timestampoptional | dateTime |
This field provides the date and time of the Indicator sighting. In order to avoid ambiguity, it is strongly suggest that all timestamps include a specification of the timezone if it is known. |
| @timestamp_precisionoptional | DateTimePrecisionEnum |
Represents the precision of the associated timestamp value. If omitted, the default is "second", meaning the timestamp is precise to the full field value. Digits in the timestamp that are required by the xs:dateTime datatype but are beyond the specified precision should be zeroed out. |
| Source0..1 | InformationSourceType |
This field provides a name or description of the sighting source. |
| Reference0..1 | anyURI |
This field provides a formal reference to the sighting source. |
| Confidence0..1 | ConfidenceType |
This field provides a confidence assertion in the accuracy of this sighting. |
| Description0..1 | StructuredTextType |
The Description field is optional and enables an unstructured, text description of this Sighting. |
| Related_Observables0..1 | RelatedObservablesType |
The Related_Observable field identifies or characterizes one or more cyber observables related to this sighting. |


| geom_raster {ggplot2} | R Documentation |
geom_rect()
and geom_tile()
do the same thing, but are
parameterised differently: geom_rect()
uses the locations of the four
corners (xmin
, xmax
, ymin
and ymax
), while
geom_tile()
uses the center of the tile and its size (x
,
y
, width
, height
). geom_raster
is a high
performance special case for when all the tiles are the same size.
geom_raster( mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., hjust = 0.5, vjust = 0.5, interpolate = FALSE, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) geom_rect( mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., linejoin = "mitre", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) geom_tile( mapping = NULL, data = NULL, stat = "identity", position = "identity", ..., linejoin = "mitre", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
Other arguments passed on to |
hjust, vjust |
horizontal and vertical justification of the grob. Each justification value should be a number between 0 and 1. Defaults to 0.5 for both, centering each pixel over its data location. |
interpolate |
If |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
linejoin |
Line join style (round, mitre, bevel). |
geom_tile()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
height
linetype
size
width
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
# The most common use for rectangles is to draw a surface. You always want # to use geom_raster here because it's so much faster, and produces # smaller output when saving to PDF ggplot(faithfuld, aes(waiting, eruptions)) + geom_raster(aes(fill = density)) # Interpolation smooths the surface & is most helpful when rendering images. ggplot(faithfuld, aes(waiting, eruptions)) + geom_raster(aes(fill = density), interpolate = TRUE) # If you want to draw arbitrary rectangles, use geom_tile() or geom_rect() df <- data.frame( x = rep(c(2, 5, 7, 9, 12), 2), y = rep(c(1, 2), each = 5), z = factor(rep(1:5, each = 2)), w = rep(diff(c(0, 4, 6, 8, 10, 14)), 2) ) ggplot(df, aes(x, y)) + geom_tile(aes(fill = z), colour = "grey50") ggplot(df, aes(x, y, width = w)) + geom_tile(aes(fill = z), colour = "grey50") ggplot(df, aes(xmin = x - w / 2, xmax = x + w / 2, ymin = y, ymax = y + 1)) + geom_rect(aes(fill = z), colour = "grey50") # Justification controls where the cells are anchored df <- expand.grid(x = 0:5, y = 0:5) df$z <- runif(nrow(df)) # default is compatible with geom_tile() ggplot(df, aes(x, y, fill = z)) + geom_raster() # zero padding ggplot(df, aes(x, y, fill = z)) + geom_raster(hjust = 0, vjust = 0) # Inspired by the image-density plots of Ken Knoblauch cars <- ggplot(mtcars, aes(mpg, factor(cyl))) cars + geom_point() cars + stat_bin2d(aes(fill = after_stat(count)), binwidth = c(3,1)) cars + stat_bin2d(aes(fill = after_stat(density)), binwidth = c(3,1)) cars + stat_density(aes(fill = after_stat(density)), geom = "raster", position = "identity") cars + stat_density(aes(fill = after_stat(count)), geom = "raster", position = "identity")


s6-rc
Software
skarnet.org
The s6-rc-compile program
s6-rc-compile is a service database compiler. It takes a series
of service definitions in the source format, and compiles
them into a directory, which is the compiled format.
The administrator can then examine that compiled database via
s6-rc-db, put it into a place where
it will be registered at boot time as the current compiled database
by s6-rc-init, or even live update
the current service database via
s6-rc-update.
Interface
s6-rc-compile [ -v verbosity ] [ -h fdhuser ] [ -b ] compiled source...
- s6-rc-compile analyzes every directory source in its
arguments. For every subdirectory service in source,
it expects to find a valid service definition in service.
- s6-rc-compile outputs a compiled version of the service database
into compiled. This database contains information for all the
services declared in every source argument.
Exit codes
- 0: success
- 1: error in a source directory
- 100: wrong usage
- 111: system call failed
Options
- -v verbosity : be more or less
verbose. Default is 1: warning and error messages will be printed to
stderr. 0 silences warnings. 2 adds a bit more information about
what s6-rc-compile is doing. 3 or more is heavy debug output.
- -h fdhuser : arrange for the
s6-fdholder-daemon
program, which maintains the pipes for the longrun pipelines, to run
as user fdhuser. By default, it runs as the user owning
the supervision tree, i.e. most likely root.
- -b : make
s6-rc-oneshot-run
invocations wait instead of fail on lock contention. This
should not change anything in practice, and you can ignore
that option.
Source format
s6-rc-compile scans every source directory to find
service definition directories in it. It ignores every
file that is not a directory, or that starts with a dot. For
every service definition directory that it finds, it creates a
service with the same name as the directory. Names cannot be
duplicated and cannot contain a slash or a newline; they can
contain spaces and tabs, but using anything else than alphanumerical
characters, underscores and dashes is discouraged - the s6-rc programs
will handle weird names just fine, but other tools, especially
shell scripts, may not. Names are also forbidden to use the reserved
s6rc- and s6-rc- prefixes.
Every service
definition directory service is expected to contain the following files:
For every service
- A regular file named type, that contains only the text
oneshot, longrun or bundle, and a terminating
newline. This file declares the type of service defined by the
directory.
- An optional regular file named flag-essential. The contents of this
file are irrelevant, only its presence is tested. If this file exists, the service
will be marked as essential, which means that a s6-rc -d change foo
command will not stop the service. Only a s6-rc -D change foo
command will. If the service is a bundle, the flag will be propagated to all its
contents, i.e. all the services it represents will be marked as essential.
For bundles
- A directory named contents.d. This directory must contain
files, no matter their type, no matter their contents, named after services.
(Typically, empty regular files are used.)
All the services named in this directory will be represented by the bundle
named service.
- If contents.d does not exist, the bundle contents can be read
from a regular file named contents. This file must be a list
of service names, one per line. Whitespace at the beginning of a line
is ignored, but trailing whitespace is not. Lines starting with a #
character are ignored. The file defines the services that will be
represented by the bundle named service. Note that this format is
deprecated.
It is possible to use bundle names in a contents.d directory or a
contents file.
However, if s6-rc-compile detects a cycle in bundle definitions, it will
complain and exit 1.
For atomic services
- An optional regular file named timeout-up. This file, if it exists,
must contain an integer, which is the maximum number of milliseconds
s6-rc will wait for successful completion of the service
start; if starting the service takes longer than this value, s6-rc will declare
the transition a failure. If the file does not exist, or contains 0, no timeout
is defined and s6-rc will wait indefinitely for the service to start.
- An optional regular file named timeout-down. This file, if it exists,
must contain an integer, which is the maximum number of milliseconds
s6-rc will wait for successful completion of the service
stop; if stopping the service takes longer than this value, s6-rc will declare
the transition a failure. If the file does not exist, or contains 0, no timeout
is defined and s6-rc will wait indefinitely for the service to stop.
- An optional directory named dependencies.d. This directory must contain
files, no matter their type, no matter their contents, named after services.
(Typically, empty regular files are used.) All the services named in this directory
will be direct dependencies of service, i.e. the services that must
be up in order for service to work properly.
- If dependencies.d does not exist: an optional regular file named
dependencies. This file must be a list
of service names, one per line. Whitespace at the beginning of a line
is ignored, but trailing whitespace is not. Lines starting with a #
character are ignored. The file defines the direct dependencies of
service. Note that this format is deprecated.
It is unnecessary to manually define complete sets of dependencies in the
dependencies.d directory or the dependencies file, because
s6-rc will properly handle dependency chains.
If A depends on B, no matter the underlying
implementation of B, and the current implementation of B
depends on C, then you should just put B in
A/dependencies.d; when starting the set,
s6-rc will start C first, then
B, then A. If the underlying implementation of B
changes and does not depend on C, then you will just have to
modify the dependencies for B, and the definition of A
will still be correct.
Of course, if A depends on C anyway, you should add
both B and C to A/dependencies.d.
If s6-rc-compile detects a cycle in dependencies across services, it will
complain and exit 1.
For oneshots
- Two regular files named up and down, which
must each contain a single Unix command line. The files will be interpreted by the
execlineb
lexer at compile time and the results will be stored into the
compiled database in an internal form. up will be run when
the service is started, and down will be executed when the service
is stopped. up is mandatory, but down is optional;
if no down file is provided in the source definition directory,
then it is treated as the empty script. If a script is empty,
then s6-rc will consider that the corresponding transition for this service
does nothing and always succeeds.
up and down are interpreted by
execlineb, but
that does not mean they have to be entirely written in the
execline language. The
execlineb
lexer is only used because it can compile a Unix command line from a text file
and store the compiled result, whereas a shell would have to be invoked
everytime the script is run. There are many ways to write up and
down scripts:
- They can be written as standard execline scripts, without the
initial shebang line or positional parameter management.
- They can be written in any scripting language by invoking the interpreter
directly: for instance
/bin/sh -c "script", where script is
a shell script.
- They can also just call a script that will actually be stored somewhere else:
for instance, up can contain /etc/init.d/service start
while down contains /etc/init.d/service stop, and
/etc/init.d/service is a System V-style init script.
Don't think you have to learn all the intricacies of the execline language
just because the up and down scripts get lexed by it.
You don't.
For longruns
The s6-rc service definition directory for a longrun service is similar to
a s6 service
directory, but there are a few differences:
- s6-rc-compile crafts the servicedir itself, based on what it
finds in the service definition directory. It does not copy everything
directly from the definition directory to the servicedir; only two
subdirectories will be copied verbatim, data and env.
So if you want to store service configuration data, to be used
by the run script, in the service directory, make sure it is in a
data/ or env/ subdirectory.
- Definition directories cannot have a log subdirectory -
or if they do, it will be ignored. From s6-rc-compile's point of view,
logged s6 services must actually be defined as two separate
s6-rc services, one defined as a producer and one defined as a consumer,
making a pipeline of just two services; see below for more information
about pipelines.
The following files must or may appear in a longrun definition directory:
- A mandatory regular file named run, as well as optional files
named finish, notification-fd, lock-fd, timeout-kill,
timeout-finish, max-death-tally,
and down-signal. These files will be copied, or recreated, in
the generated
service directory:
they are meant to be used by the
s6-supervise
process that will manage the longrun service.
- Optional directories named instance and instances. These will
be copied verbatim into the generated service directory. They are used
internally by some s6 tools; using them for your own purposes is not
recommended - you should ignore them and use the data directory
instead.
- Optional directories named data and env. These will
be copied verbatim into the generated service directory.
- An optional file named producer-for. If this file exists, then
it must contain the name of another longrun service servicelog;
service is then declared as a producer for servicelog.
servicelog must also, in its own definition directory,
be declared as a consumer for at least service.
- An optional file named consumer-for. If this file exists, then
it must contain a list of longrun services serviceprod...:
service is then declared as a consumer for all the services
in serviceprod. Each of those services
must also, in its own definition directory,
be declared as a producer for service.
- An optional file named pipeline-name. If this file exists
along with a consumer-for file, and there is no
producer-for file, then a bundle will automatically be
created, named with the content of the pipeline-name file, and
containing all the services in the pipeline that ends at service.
See below for more about pipelining. The pipeline-name file
is ignored if service is not a last consumer.
Be aware that service directories will be relocated, and copied at boot time,
so if your run or finish scripts refer to files in the service directory
(probably in the data or env subdirectories!), they should
use relative paths, not absolute ones.
Note that you cannot create a ./down file for
s6-supervise
in a generated service
directory. Even if such a file exists in the definition directory, it will
be ignored - it will not be replicated in the service directory.
This is intentional:
s6-rc internally uses ./down files in
the service directories it manages, to mark longrun
services that are down.
The producer-for, consumer-for and pipeline-name
files are used to set up automatic longrun pipelining.
Longrun pipelining
Users of supervision suites know about logged services: a service acts
as a producer, and is coupled with another service, its logger; the
supervision system automatically maintains an open pipe between the
producer's stdout and the logger's stdin.
s6-rc comes with an extension of this mechanism. Rather than only
allowing two longrun services to be pipelined, it can set up an
indefinite number of longrun services this way.
- A producer declares its direct consumer in a producer-for file.
- Intermediate services declare both their direct producers in their
consumer-for file, and their direct consumer in their
producer-for file.
- The last consumer only declares its direct producers in a consumer-for file.
- The last consumer may also declare a name for the whole pipeline, in
its pipeline-name file. If it does so, then a bundle is automatically
created with
the given name, and it contains all the services in the pipeline.
s6-rc-compile will detect pipelines, and set up the service directories
so that every producer's stdout is connected to its consumer's stdin, and
that the pipes are not broken whenever one element in the chain dies.
A service can only be declared as a producer for one other
service, but it can be declared as a consumer for several other
services: the consumer-for can have several lines. This
means that one service can only send its output to one consumer, but
it can read its input from several producers. If there are several
producers to a service, they will all write to the same Unix pipe
that the service reads.
This means that what s6-rc calls pipelines are really
funnels: you can collapse multiple data streams into
a single data stream, at every step of your processing chain.
The pipeline terminology remains for history reasons:
previous versions of s6-rc could not handle multiple producers.
s6-rc-compile checks for pipeline consistency. It must see a
producer-for file in the producers' definition that is consistent
with the consumer-for file in the consumer's definition. It will
detect and reject cycles as well as collisions.
The pipe linking a set of producers with a consumer is created and stored at
run-time in a
s6-fdholder-daemon
instance managed by an automatically generated longrun service named
s6rc-fdholder.
Compiled database usage
- Once it has been built with s6-rc-compile, a compiled database cannot be
modified. It (i.e. the directory containing the n, db and
resolve.cdb files as well as the servicedirs subdirectory)
can be moved around in the filesystem, provided the insides remain
untouched.
- Once a compiled database is live (i.e. it has services running on it,
following an invocation of s6-rc-init or
s6-rc-update), it must not move anymore,
and it must not be deleted. The only way to "free" such a compiled database
for displacement or deletion is to replace it as the live one via another
call to s6-rc-update.
- No matter what user compiles the database, only root and the
user owning the supervision tree at run-time will be able
to operate the compiled database with the s6-rc
command.
A complete example
The examples/source subdirectory of the s6-rc package contains a set
of service definition directories, which is actually a working, valid set for a
Linux system running
busybox and the
skarnet.org packages; of course, only
the service definition set has been kept, and private information has been
removed, so it won't work out-of-the-box without the proper specific files,
notably configuration in /etc - but nevertheless, you can browse the
source and understand what it does, and adapt it to your own needs. It will
compile as is with
s6-rc-compile, and you can examine the
resulting compiled database with
s6-rc-db.


Healing Business Opportunity | Light Healing Clinic
Are you looking to run a healing business opportunity? Find out more about Light Healing Clinic today!
Want to jump to a particular section? Introduction, The Science, The Unit, Income or The Package
Light healing Clinic is the latest technology to hit the UK from Readymade Business 4 U Ltd. We have many years’ experience in the set-up of successful business models across the UK & Ireland; and you can rest assured that if you choose us, we will have your new venture up and running with no fuss, making you money from day one as we even help obtain customers using our fantastic marketing referral system!
There a literally millions of people who suffer on a daily basis from various medical problems such as:
- Joint pains
- Arthritis
Sports Injuries such as:
- Sprains and strains
- Neck and back pain
- Muscle and ligament damage
Even to overcome an addiction to smoking with Laser Acupuncture, our system is needle and pain free!
This technology has been around for years, but only available to the wealthy or through referral by your Doctor which could take months of pain and suffering before you would get an appointment with the NHS.
Now, with recent advances this technology is now available in portable form, which makes it ideal for you to operate your own business, which was impossible until recently. With our help, training and support, you’ll be up and running your own business within weeks! We even supply a full local marketing campaign to help obtain customers for your new business from day one.
Light Healing Low level light therapy
Whether patients need help to overcome an addiction to smoking, arthritic pain relief and even stress management; Laser therapy is effective, drug-free, non-invasive, pain-free and without unpleasant side-effects.
Our low level laser emits a visible coherent light that is applied to the affected area. Bundles of light energy pass through the layers of the skin and are received within the cell membrane by specific receptors. This causes an increase in energy within the cell which jump-starts changes that positively affect several biological processes. This in turn initiates increased blood circulation to the area and enhances tissue regeneration. The overall effects are decreased pain and inflammation, and increased range of motion.
Low Level Laser Therapy, uses low power or ‘soft’ laser light to alter cellular function, speeding up your body’s natural healing process safely and effectively.
Put simply, by directly treating damaged tissue with particular and appropriate wavelengths of light, your body’s healing cells are stimulated and recovery is optimised.
Why use this particular Low Level Laser?
Low level lasers are known as “cold” lasers as they do not have a thermal effect and are used to stimulate rather than destroy tissue. These low level lasers have been in use for over 25 years and there are no side effects.
Laser therapy is a non-invasive procedure, meaning that it does not require a surgical incision. This means that there is no prolonged recovery time. Laser therapy also does not involve taking any medications (many patients prefer to avoid taking medications).
Studies have been done on low level lasers and have been proven to be effective in many cases, but it was this laser that made history by becoming the first low-level laser in the world to gain market clearance for the treatment of chronic neck and shoulder pain.
This was proven through studies to prove the effectiveness of this laser on chronic pain. Please feel free to ask for Light Healing Clinic’s application and overview.
Are there any side effects?
The “cold” laser does not cause any tissue damage as a healthy cell will exhibit weak or no effects from the low-power laser while unhealthy cells will exhibit strong effects. The photons of the laser are strong enough to alter the shape of certain receptor proteins in the mitochondrial cell membrane, but weak enough not to damage crucial molecules such as DNA, enzymes (proteins), and lipids.
How long does it take?
Our low level laser has multiple laser beams which are programmable to multiple frequencies. There is a different protocol for each condition or complaint with 4 different frequencies used and the treatment time can take anywhere from 90 seconds to 3 minutes. Acute problems can be treated every day for a few days while chronic complaints are usually best handled with 3-4 treatments per week.
Does it hurt?
No. People are receptive to light healing to varying degrees – some can feel the laser right down to their toes and others are entirely unaware of any sensation. Those that feel it mention slight warmth to the area being treated or a minimal tingling sensation.
What are the clinical effects and benefits of light healing?
- Increased protein synthesis
- Increased bactericidal activity
- Activation of cell proliferation
- Improvement of blood microcirculation
- Regeneration of tissues
- Improved modulation of immune system
- Anti-inflammatory
Other benefits of our Low Level Laser
- Reduction of the formation of scar tissue
- Can modulate immune responses
Laser Acupuncture provides:
Laser Acupuncture involves low level laser beams being used to stimulate acupuncture points. Laser is used both as a non-needle alternative and as a medium in its own right with its own distinct energising characteristics, extending the range of acupuncture treatment options available.
Laser is a particularly useful modality for needle-phobic clients and children, being aseptic, painless and having relatively short treatment times.
Smoking Cessation
Low Level Lasers for smoking cessation have been in use since the 1970’s in the UK and Canada and has recently seen an explosion of clinics in the US, South America, Australia, South Africa, Middle and Far East.
Treatment traditionally employs use of non-invasive, non-thermal laser to stimulate acupuncture points, total treatment time is around 15 minutes for a maximum of 4 treatments over 14 days.
The clients experience a reduction in withdrawal symptoms and while counselling is encouraged as part of the clinical procedure and for best results, research has still shown significant results in double-blind studies with application of the laser alone. There is no lingering nicotine addiction and no side effects.
This portable model has been designed for those on the move, manufactured in steel for robustness. It is light, compact and is provided in a padded carry case.
- Straightforward and helpful menu system
- Automatic probe recognition
- Automatic calculation of surface energy density
- Nine pulsing frequency options
- Multi-pulse mode
- Automatic repeat treatment time
- Total treatment time record
- Precise laser beam power output measurement
- Visible warning when probe capable of emitting or in use
- Acupuncture point finder
- High performance 4Ah Metal Nickel Hydryde battery built in
- Wipe-clean membrane fascia
- Padded carry case and stand included
The market leading built-in rechargeable battery in the unit is capable of powering the unit for up to 10 hours treatment time, making this unit ideal when treatment is beyond the easy reach of mains power supply.
Extremely versatile, the unit accepts the complete range of interchangeable probes, allowing treatment of everything from deeper muscular penetration and acupuncture point stimulation. The flexibility to enter repeatable treatment times in 5 second increments is offered via an intuitive menu system and the unit then automatically calculates the resultant energy density ‘dose’ to be delivered.
The unit offers a range of pulsing frequency options and the ability to set three different pulsing repetition rates within one treatment through the multi-pulse facility. This affords the practitioner pulse variation capability without having to reset. This control unit has a built-in beam tester which gives an accurate reading of the single probe outputs, meaning that the user can always check that the equipment is working properly – so important when invisible wavelengths are in use.
The unit also includes an acupuncture point finder, which gives a continuous electronic reading indicating the proximity of acupuncture points. The micro-current conductivity measurement which is used to identify such points can also locate trigger points making it an indispensable tool for physical therapists. This feature utilises a purpose-designed hand probe and acupuncture probe tip, both of which are included in the package.
This unit is designed so that it can be used in the carry case, and placing the bag’s strap over the shoulder or around the waist can leave the clinician’s hands free for treatment. When used in a clinic the separate stand (which can be purchased seperately) positions the unit with complete stability and visibility on any flat surface.
On average most people will need 4-8 sessions in the desired area, although a lot of people will require ongoing treatments, this makes the model great for repeat, on-going business.
Light healing clinic recommends 4 sessions per week, over a 4 week period. So at £30 (recommended) per 15 minute session, 1 hour per week will generate you £120 from each customer. This is amazingly cost effective when you compare it to the £50 or more per treatment that private clinics will charge. Plus, you’re going to them, which in a lot of cases is a great bonus as some people who have bad injuries (for example, the elderly) may not be able to get out to clinics or will just point blank refuse to go.
Treating just 4 customers per week, which equates to only 4 hours work, can make you nearly £500.00 per week! That’s only 4 customers to earn nearly £2,000.00 per month for 4 hours work! Imagine how much you can earn once you’re established with regular customers and, with our help and unique referral system this could be just weeks away!
- Earn £120 per hour – 4 x 15 minutes sessions @ £30 each - that’s from one customer!
- Spare time, part time or full time
- Hours to suit
- An amazing, new and innovative product
- Massive market place
- Repeat, on-going business with both men & women
We have the latest light healing technology and you could be a part of this amazing revolutionary technology and ever-growing industry! This will give you a secure future, as there will always be people who need pain relief from a variety of injuries or problems.
Reasons why people will use you
- The want/need to get back to full fitness
- The need for pain relief
- They have the flexibility of you going to them
- Gyms and clubs like you to visit them on a weekly basis to offer the service to their clients
- You have the newest equipment on the market place
- You will be fully qualified
- You are flexible
What do you get in the package?
- Full training & certification (no experience required)
- Our high-tech laser therapy system
- 12 months insurance which covers public liability, treatment risk, medical malpractice and professional indemnity, this covers you on a mobile basis or if based in a salon
- Website, domain name and local SEO to help gain more customers (on-going website costs are approximately £35 per year hosting after the first year and approximately £9 for domain registration per 2 years after the first 2 years)
- Promotional printing package such as leaflets and business cards
- We register your business with all the major search engines
- Advertising e-shots
- Full marketing campaign with local salons using our fantastic referral system. This helps gain customers from day one and gives your new business that boost it needs at the start and further regular on-going business!
- Aftercare and on-going support
- FREE membership to our affiliate program - Earn £££’s
What equipment do I receive?
Our high tech laser therapy system which includes:
- Mobile control unit
- 820nm 200mw single probe
- 20 cluster probes
- 2x pairs of safety goggles
- Acupuncture tip
- Hand probe
- Stand (worth £20)
- Mobile carry case
With our many years of experience in setting people like yourself up in business, you can be rest assured that you will be provided with a professional package to give you the best start in self-employment possible.


agm-map is a angular component library for Google Maps.
agm-map
Checkout the component api docs for detail: AgmMap Api


sync.entry.load (method) 3 uses sync (current package) map.go#L124: return e.load() map.go#L127: func (e *entry) load() (value interface{}, ok bool) { map.go#L341: v, ok := e.load()
The pages are generated with Golds v0.2.7-preview. (GOOS=darwin GOARCH=amd64)


Gecode::IntValBranch Class Reference
[Branching]
Which values to select for branching first. More...
#include <int.hh>
Public Types | |
| enum | Select { SEL_MIN, SEL_MED, SEL_MAX, SEL_RND, SEL_SPLIT_MIN, SEL_SPLIT_MAX, SEL_RANGE_MIN, SEL_RANGE_MAX, SEL_VAL_COMMIT, SEL_VALUES_MIN, SEL_VALUES_MAX, SEL_NEAR_MIN, SEL_NEAR_MAX, SEL_NEAR_INC, SEL_NEAR_DEC } |
Which value selection. More... | |
Public Member Functions | |
| IntValBranch (Select s=SEL_MIN) | |
| Initialize with selection strategy s. | |
| IntValBranch (Rnd r) | |
| Initialize with random number generator r. | |
| IntValBranch (VoidFunction v, VoidFunction c) | |
| Initialize with value function f and commit function c. | |
| IntValBranch (Select s, IntSharedArray n) | |
| Initialize with selection startegy s and values n. | |
| Select | select (void) const |
| Return selection strategy. | |
| IntSharedArray | values (void) const |
| Return shared array of values. | |
Protected Attributes | |
| IntSharedArray | n |
| Array of values for near strategies. | |
| Select | s |
| Which value to select. |
Detailed Description
Which values to select for branching first.
Definition at line 3981 of file int.hh.
Member Enumeration Documentation
Which value selection.
- Enumerator:
Constructor & Destructor Documentation
| Gecode::IntValBranch::IntValBranch | ( | Select | s = SEL_MIN |
) | [inline] |
| Gecode::IntValBranch::IntValBranch | ( | Rnd | r | ) | [inline] |
| Gecode::IntValBranch::IntValBranch | ( | VoidFunction | v, | |
| VoidFunction | c | |||
| ) | [inline] |
| Gecode::IntValBranch::IntValBranch | ( | Select | s, | |
| IntSharedArray | n | |||
| ) | [inline] |
Member Function Documentation
| IntValBranch::Select Gecode::IntValBranch::select | ( | void | ) | const [inline] |
| IntSharedArray Gecode::IntValBranch::values | ( | void | ) | const [inline] |
Member Data Documentation
IntSharedArray Gecode::IntValBranch::n [protected] |
Select Gecode::IntValBranch::s [protected] |
The documentation for this class was generated from the following files:
- gecode/int.hh (Revision: 14362)
- gecode/int/branch/val.hpp (Revision: 13729)


ALL
Men
Women
Watches
Accesspries
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE
ETHNIC FASHION GUIDE: SAREESINDULGE


This is a plain, ordinary cell
This is a plain, ordinary cell
This row has a subtitle
The Beatles
I have a value
Color
label
mobile
home
work
main
fax
This is a plain, ordinary cell
This is a plain, ordinary cell
Tap me!!
This is a plain, ordinary cell
This is a plain, ordinary cell
This row has a subtitle
The Beatles
I have a value
Color
label
mobile
home
work
main
fax
This is a plain, ordinary cell
This is a plain, ordinary cell
Tap me!!
This is a plain, ordinary cell
This is a plain, ordinary cell
This row has a subtitle
The Beatles
I have a value
Color
label
mobile
home
work
main
fax
This is a plain, ordinary cell
This is a plain, ordinary cell
Tap me!!
This is a plain, ordinary cell
This is a plain, ordinary cell
This row has a subtitle
The Beatles
I have a value
Color
label
mobile
home
work
main
fax
This is a plain, ordinary cell
This is a plain, ordinary cell
Tap me!!
This is a plain, ordinary cell
This is a plain, ordinary cell


Id: 307
Name: Scroopy Noopers
Status: Alive
Species: Alien
Type: Plutonian
Gender: Male
OriginName: Pluto
OriginUrl: https://rickandmortyapi.com/api/location/47
LocationName: Pluto
LocationUrl: https://rickandmortyapi.com/api/location/47
Image: https://rickandmortyapi.com/api/character/avatar/307.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/9']
Url: https://rickandmortyapi.com/api/character/307
Created: 2018-01-05T14:20:41.693Z


{% extends "base.html" %} {% block title %}About{% endblock %} {% block content %}
CRIPTs (Collaborative Research Into Password Threats) is an open source password repository that leverages other open source software to create a unified tool for analysts, security experts, and penetration testers engaged in password research. It is based on the CRITs tool initially developed at MITRE and then open sourced to support the greater infosec community.
The MIT License (MIT) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Deutsche Telekom’s honeypot project was started in 2010 by a small group of enthusiasts. We initially started with Lukas Rist’s great Glastopf web honeypot and soon added further honeypot daemons like kippo, honeytrap and dionaea. Over the next years we deployed more and more honeypots.
Data captured on our honeypot sensors is visualized on our Sicherheitstacho and we further use the information e.g. to inform our customers regarding infections.
We currently run about 180 honeypot sensors as part of Deutsche Telekom’s early warning system. Individual maintenance of such large number of systems became a time consuming and painful task. As a first step we created a standardized Raspberry PI honeypot image, which is managed by Puppet and distributed across our national subsidiaries. To increase the efficiency even more, we decided to build T-Pot, a highly modular approach.
Contact
Please understand that we cannot provide support on an individual basis. We will try to address questions, bugs and problems on our GitHub issue list.
Thanks
We want to thank the following people / organizations / projects for their great work.
- Lutz Wischmann (our consultant / friend / main developer of Sicherheitstacho / Honeypot backend systems)
- Honeypot developers for their patient support for our individual feature requests
- The Honeynet Project for providing great tools and a platform for discussion
- Christian Müller / Mark Bolten from CRONON / Strato for (as always) great support
- Andreas Kraft & Alexander Mannecke for their cool dsl router protection demo based on honeypot data and the mobile sicherheitstacho app
Deutsche Telekom’s Honeypot Team
The team consists of several people, who spend some work time and private time on this project.
- Markus Schroer
- Rainer Schmidt
- Markus Schmall
- André Vorbach
- Marco Ochse
- Norbert Krummen
- another unnamed individual ;-)
Initial Jekyll template written by Dirk Fabisch
A medium inspired Jekyll blog theme. The basic idea came from the Ghost theme Readium 2.0. I use mediator on my own blog The Base.
You can download the theme here: https://github.com/dirkfabisch/mediator