How to get max(id) of table = Rep[Option[Long]] for subsequent insert, without calling db.run in between - database

I have an insert to a table, that depends on the max id of another table.
def add(languageCode: String,
typeId: Long,
properties: Seq[Property]): Unit = {
val dbAction = (
for{
nodeId <- (nodes.all returning nodes.all.map(_.id)) += Node(typeId)
language <- (languages.all filter (_.code === languageCode)).result.head
_ <- DBIO.seq(properties.map
{
property =>
val id = property.id
val name = property.key
val value = property.value
if(id == 0) {
val currentPropId: FixedSqlAction[Option[Long], h2Profile.api.NoStream, Effect.Read] = this.properties.all.map(_.id).max.result
val propertyId = (this.properties.all returning this.properties.all.map(_.id)) += Property(language.id.get, currentPropId + 1, name)
nodeProperties.all += NodeProperty(nodeId, 2, value)
} else {
nodeProperties.all += NodeProperty(nodeId, id, value)
}
}: _*)
} yield()).transactionally
db.run(dbAction)
}
As you can see, the problem is that currentPropId is of type Rep[Option[Long]] and of course Property needs a proper Long instead.
For the languageId it sufficed to add a result to the query (languages.all filter (_.code === languageCode)).result.head
But for the currentPropId the type then still is of FixedSqlAction
edit:
Trying it like this
if(id == 0) {
this.properties.all.map(_.id).max.map {
id =>
val propertyId = (this.properties.all returning this.properties.all.map(_.id)) += Property(language.id.get, id+1, name)
val nodeProperty = nodeProperties.all += NodeProperty(nodeId, 2, value)
propertyId andThen nodeProperty
}
Does not work, because that's not a Seq[DBIOAction] anymore but a Seq[Object] (Not Any, but Object)

You cannot mix the lifted types (Rep[_]) with standard Scala types.
You can map over your SqlAction to extract the needed type.
val currentPropId: FixedSqlAction[Option[Long], NoStream, Effect.Read] = ???
currentPropId.flatMap { id: Option[Long] =>
???
}
In your exact case, something like this:
if(id == 0) {
properties.map(_.id).max.result.flatMap { id: Option[Long] =>
val propertyId = (properties returning properties.map(_.id)) += Property(language.id.get, id.map(_ + 1), name)
val nodeProperty = nodeProperties += NodeProperty(nodeId, 2, value)
propertyId andThen nodeProperty
}
}
...

Related

Composable: Adjust items size like in LazyGrid

I have my custom grid. I need to adjust size of its elements like it weight(1f) except for the last row when the size should be same as other (like in LazyGrid on the screenshot), how's it possible?
#Composable
fun <T> VerticalGrid(
data: List<T>,
columnCount: Int,
itemContent: #Composable (T) -> Unit
) {
val size = data.size
val rows = if (size == 0) 0 else 1 + (size - 1) / columnCount
Column {
for (rowIndex in 0..rows) {
val itemIndex = rowIndex * columnCount
val end = min(itemIndex + columnCount, size)
Row(modifier = Modifier.fillMaxWidth()) {
for (index in itemIndex until end) {
itemContent(data[index])
}
}
}
}
}

How do I map Stream<List<double>> to List<double> in Dart Flutter

We are trying to cast a Stream<List> to List in Dart Flutter.
List<double> _DeadliftWeightsList(QuerySnapshot snapshot){
List <Weights?> weights = snapshot.docs.map((doc){
Weights(
date: doc.get('date') ?? DateTime.now(),
weight: doc.get('deadLiftWeight') ?? 0);
}).toList();
final List<double> normalized = NormalizedData(weights);
return normalized;}
List<double> DLWeights() {
List <double> weights = [];
usersCollection.snapshots()
.map(_DeadliftWeightsList).listen((List<double> weights1) {
weights = weights1;
});
return weights;}
This is our Return List Function
List<double> returnList (String key){
List<double> values = [];
if(key == "Dead Lift"){
values = DLWeights();
}
else if (key == "Back Squat"){
values = BSWeights();
}
else if (key == "Hip Thrust") {
values = HTWeights();
}
else if (key == "Leg Press") {
values = LPWeights();
}
else if (key == "Bench Press") {
values = BPWeights();
}
else if (key == "Lateral Pulldown ") {
values = LateralPDWeights();
}
else if (key == "Bicep Curl") {
values = BCWeights();
}
else if (key == "Tricep Extension") {
values = TEWeights();
}
return values;
}
These functions are meant to grab the data from the Stream and return a list. However it is not grabbing the data and is giving us a bad state error.
Here is a short example of how you can convert a Stream<List<double>> to a List<double>:
Stream<List<double>> listOfDoubleStream() async* {
for (int i = 1; i <= 100; i++) {
yield [i.toDouble()];
}
}
Future<void> main() async {
List<double> result = await listOfDoubleStream().expand((e) => e).toList();
print(result);
}
The expand method is equivalent to flatMap in some other languages. Calling expand allows you to convert Stream<List<double>> to a Stream<double>, and then calling toList will get you the List<double>.
Another approach would be to use collection-for and the spread operator ... :
List<double> result = [
await for (final item in listOfDoubleStream()) ...item,
];

Swift: Binary search for standard array?

I have a sorted array and want to do binary search on it.
So I'm asking if something is already available in Swift library like sort etc.? Or is there a type independend version available?
Of course I could write it by my own, but I like to avoid reinventing the wheel again.
Here's my favorite implementation of binary search. It's useful not only for finding the element but also for finding the insertion index. Details about assumed sorting order (ascending or descending) and behavior with respect to equal elements are controlled by providing a corresponding predicate (e.g. { $0 < x } vs { $0 > x } vs { $0 <= x } vs { $0 >= x }). The comment unambiguously says what exactly does it do.
extension RandomAccessCollection {
/// Finds such index N that predicate is true for all elements up to
/// but not including the index N, and is false for all elements
/// starting with index N.
/// Behavior is undefined if there is no such N.
func binarySearch(predicate: (Element) -> Bool) -> Index {
var low = startIndex
var high = endIndex
while low != high {
let mid = index(low, offsetBy: distance(from: low, to: high)/2)
if predicate(self[mid]) {
low = index(after: mid)
} else {
high = mid
}
}
return low
}
}
Example usage:
(0 ..< 778).binarySearch { $0 < 145 } // 145
Here's a generic way to use binary search:
func binarySearch<T:Comparable>(_ inputArr:Array<T>, _ searchItem: T) -> Int? {
var lowerIndex = 0
var upperIndex = inputArr.count - 1
while (true) {
let currentIndex = (lowerIndex + upperIndex)/2
if(inputArr[currentIndex] == searchItem) {
return currentIndex
} else if (lowerIndex > upperIndex) {
return nil
} else {
if (inputArr[currentIndex] > searchItem) {
upperIndex = currentIndex - 1
} else {
lowerIndex = currentIndex + 1
}
}
}
}
var myArray = [1,2,3,4,5,6,7,9,10]
if let searchIndex = binarySearch(myArray, 5) {
print("Element found on index: \(searchIndex)")
}
I use an extension on RandomAccessCollection implementing bisectToFirstIndex(where:) and taking a predicate.
It takes a test predicate, and returns the index of the first element to pass the test.
If there is no such index, it returns nil.
If the Collection is empty, it returns nil.
Example
let a = [1,2,3,4]
a.map{$0>=3}
// returns [false, false, true, true]
a.bisectToFirstIndex {$0>=3}
// returns 2
Important
You need to ensure test never returns a false for any index after an index it has said true for. This is equivalent to the usual precondition that binary search requires your data to be in order.
Specifically, you must not do a.bisectToFirstIndex {$0==3}. This will not work correctly.
Why?
bisectToFirstIndex is useful because it lets you find ranges of stuff in your data. By adjusting the test, you can find the lower and upper limits of "stuff".
Here's some data:
let a = [1,1,1, 2,2,2,2, 3, 4, 5]
We can find the Range of all the 2s like this…
let firstOf2s = a.bisectToFirstIndex { $ 0>= 2 }
let endOf2s = a.bisectToFirstIndex { $0 > 2 }
let rangeOf2s = firstOf2s ..< endOf2s
Example Application
I use this in an implementation of layoutAttributesForElementsInRect. My UICollectionViewCells are stored sorted vertically in an array. It's easy to write a pair of calls that will find all cells that are within a particular rectangle and exclude any others.
Code
extension RandomAccessCollection {
public func bisectToFirstIndex(where predicate: (Element) throws -> Bool) rethrows -> Index? {
var intervalStart = startIndex
var intervalEnd = endIndex
while intervalStart != intervalEnd {
let intervalLength = distance(from: intervalStart, to: intervalEnd)
guard intervalLength > 1 else {
return try predicate(self[intervalStart]) ? intervalStart : nil
}
let testIndex = index(intervalStart, offsetBy: (intervalLength - 1) / 2)
if try predicate(self[testIndex]) {
intervalEnd = index(after: testIndex)
}
else {
intervalStart = index(after: testIndex)
}
}
return nil
}
}
Updates…
The implementation here extends RandomAccessCollection and I've updated the code to build with the current Swift version (5 or something).
A Binary Search Caution
Binary searches are notoriously hard to correctly code. You really should read that link to find out just how common mistakes in their implementation are, but here is an extract:
When Jon Bentley assigned it as a problem in a course for professional programmers, he found that an astounding ninety percent failed to code a binary search correctly after several hours of working on it, and another study shows that accurate code for it is only found in five out of twenty textbooks. Furthermore, Bentley's own implementation of binary search, published in his 1986 book Programming Pearls, contains an error that remained undetected for over twenty years.
Given that last point, here is a test for this code. It passes! The testing isn't exhaustive – so there may certainly still be errors.
Tests
final class Collection_BisectTests: XCTestCase {
func test_bisect() {
for length in 0...100 {
let collection = 0 ... length
let targets = -4 ... length + 4
for toFind in targets {
let bisectIndex = collection.bisectToFirstIndex { $0 > toFind }
let expectIndex = collection.firstIndex { $0 > toFind }
XCTAssertEqual(bisectIndex, expectIndex, "Finding \(toFind+1) in 0...\(length)")
}
}
}
}
extension ArraySlice where Element: Comparable {
func binarySearch(_ value: Element) -> Int? {
guard !isEmpty else { return nil }
let midIndex = (startIndex + endIndex) / 2
if value == self[midIndex] {
return midIndex
} else if value > self[midIndex] {
return self[(midIndex + 1)...].binarySearch(value)
} else {
return self[..<midIndex].binarySearch(value)
}
}
}
extension Array where Element: Comparable {
func binarySearch(_ value: Element) -> Int? {
return self[0...].binarySearch(value)
}
}
This is, in my opinion, very readable and leverages the fact that Swift's ArraySlice is a view on Array and retains the same indexes as the original Array with which it shares the storage so, in absence of mutations (like in this case), it is therefore very efficient.
here is binary search using while syntax
func binarySearch<T: Comparable>(_ a: [T], key: T) -> Int? {
var lowerBound = 0
var upperBound = a.count
while lowerBound < upperBound {
let midIndex = lowerBound + (upperBound - lowerBound) / 2
if a[midIndex] == key {
return midIndex
} else if a[midIndex] < key {
lowerBound = midIndex + 1
} else {
upperBound = midIndex
}
}
return nil
}
Here is an implementation for a sorted array of strings.
var arr = ["a", "abc", "aabc", "aabbc", "aaabbbcc", "bacc", "bbcc", "bbbccc", "cb", "cbb", "cbbc", "d" , "defff", "deffz"]
func binarySearch(_ array: [String], value: String) -> String {
var firstIndex = 0
var lastIndex = array.count - 1
var wordToFind = "Not founded"
var count = 0
while firstIndex <= lastIndex {
count += 1
let middleIndex = (firstIndex + lastIndex) / 2
let middleValue = array[middleIndex]
if middleValue == value {
wordToFind = middleValue
return wordToFind
}
if value.localizedCompare(middleValue) == ComparisonResult.orderedDescending {
firstIndex = middleIndex + 1
}
if value.localizedCompare(middleValue) == ComparisonResult.orderedAscending {
print(middleValue)
lastIndex = middleIndex - 1
}
}
return wordToFind
}
//print d
print(binarySearch(arr, value: "d"))
Another implementation: if you want to have your structs or classes searchable without making them Comparable, make them BinarySearchable instead:
public protocol BinarySearchable {
associatedtype C: Comparable
var searchable: C { get }
}
public extension Array where Element: BinarySearchable {
func binarySearch(_ prefix: Element.C) -> Index {
var low = 0
var high = count
while low != high {
let mid = (low + high) / 2
if self[mid].searchable < prefix {
low = mid + 1
} else {
high = mid
}
}
return low
}
}
Example usage for a struct that should be sorted and searched by name:
struct Country: BinraySearchable {
var code: String
var name: String
var searchable: String { name }
}
// Suppose you have a list of countries sorted by `name`, you want to find
// the index of the first country whose name starts with "United", others
// will follow:
let index = listOfCountries.binarySearch("United")
And for completeness, here's a entirely pattern matching based implementation:
extension Collection where Element: Comparable {
func binarySearch(for element: Element) -> Index? {
switch index(startIndex, offsetBy: distance(from: startIndex, to: endIndex) / 2) {
case let i where i >= endIndex: return nil
case let i where self[i] == element: return i
case let i where self[i] > element: return self[..<i].binarySearch(for: element)
case let i: return self[index(after: i)..<endIndex].binarySearch(for: element)
}
}
}
The above code should work with any kind of collections, sliced or not sliced, zero offset-ed or non-zero offset-ed.
Here is how you create a binary search function in swift 5, in this example I assume that the item you are looking for is guaranteed to be in the list, however if your item is not guaranteed to be in the list then you can run this code to check first:
yourList.contains(yourItem) //will return true or false
Here is the binary search function:
override func viewDidLoad() {
super.viewDidLoad()
print(binarySearch(list: [1, 2, 4, 5, 6], num: 6)) //returns 4
}
func binarySearch(list: [Int], num: Int) -> Int //returns index of num
{
var firstIndex = 0
var lastIndex = list.count - 1
var middleIndex = (firstIndex + lastIndex) / 2
var middleValue = list[middleIndex]
while true //loop until we find the item we are looking for
{
middleIndex = (firstIndex + lastIndex) / 2 //getting the list's middle index
middleValue = list[middleIndex]
if middleValue > num
{
lastIndex = middleIndex - 1 //get the left side of the remaining list
}
else if middleValue < num
{
firstIndex = middleIndex + 1 //get the right side of the remaining list
}
else if middleValue == num
{
break //found the correct value so we can break out of the loop
}
}
return middleIndex
}
I have made a youtube video explaining this here
Here's a better implementation that returns more than one index, if there are more than 1 in the array.
extension Array where Element: Comparable {
/* Array Must be sorted */
func binarySearch(key: Element) -> [Index]? {
return self.binarySearch(key, initialIndex: 0)
}
private func binarySearch(key: Element, initialIndex: Index) -> [Index]? {
guard count > 0 else { return nil }
let midIndex = count / 2
let midElement = self[midIndex]
if key == midElement {
// Found!
let foundIndex = initialIndex + midIndex
var indexes = [foundIndex]
// Check neighbors for same values
// Check Left Side
var leftIndex = midIndex - 1
while leftIndex >= 0 {
//While there is still more items on the left to check
print(leftIndex)
if self[leftIndex] == key {
//If the items on the left is still matching key
indexes.append(leftIndex + initialIndex)
leftIndex--
} else {
// The item on the left is not identical to key
break
}
}
// Check Right side
var rightIndex = midIndex + 1
while rightIndex < count {
//While there is still more items on the left to check
if self[rightIndex] == key {
//If the items on the left is still matching key
indexes.append(rightIndex + initialIndex)
rightIndex++
} else {
// The item on the left is not identical to key
break
}
}
return indexes.sort{ return $0 < $1 }
}
if count == 1 {
guard let first = first else { return nil }
if first == key {
return [initialIndex]
}
return nil
}
if key < midElement {
return Array(self[0..<midIndex]).binarySearch(key, initialIndex: initialIndex + 0)
}
if key > midElement {
return Array(self[midIndex..<count]).binarySearch(key, initialIndex: initialIndex + midIndex)
}
return nil
}
}
By recursive binary search,
func binarySearch(data : [Int],search: Int,high : Int,low:Int) -> Int? {
if (low > high)
{
return nil
}
let mid = low + (low + high)/2
if (data[mid] == search) {
return mid
}
else if (search < data[mid]){
return binarySearch(data: data, search: search, high: high-1, low: low)
}else {
return binarySearch(data: data, search: search, high: high, low: low+1)
}
}
Input : let arry = Array(0...5) // [0,1,2,3,4,5]
print(binarySearch(data: arry, search: 0, high: arry.count-1, low: 0))
Here's a full example with several test cases for Swift 3.1. There is no chance that this is faster than the default implementation, but that's not the point. Array extension is at the bottom:
// BinarySearchTests.swift
// Created by Dan Rosenstark on 3/27/17
import XCTest
#testable import SwiftAlgos
class BinarySearchTests: XCTestCase {
let sortedArray : [Int] = [-25, 1, 2, 4, 6, 8, 10, 14, 15, 1000]
func test5() {
let traditional = sortedArray.index(of: 5)
let newImplementation = sortedArray.indexUsingBinarySearch(of: 5)
XCTAssertEqual(traditional, newImplementation)
}
func testMembers() {
for item in sortedArray {
let traditional = sortedArray.index(of: item)
let newImplementation = sortedArray.indexUsingBinarySearch(of: item)
XCTAssertEqual(traditional, newImplementation)
}
}
func testMembersAndNonMembers() {
for item in (-100...100) {
let traditional = sortedArray.index(of: item)
let newImplementation = sortedArray.indexUsingBinarySearch(of: item)
XCTAssertEqual(traditional, newImplementation)
}
}
func testSingleMember() {
let sortedArray = [50]
for item in (0...100) {
let traditional = sortedArray.index(of: item)
let newImplementation = sortedArray.indexUsingBinarySearch(of: item)
XCTAssertEqual(traditional, newImplementation)
}
}
func testEmptyArray() {
let sortedArray : [Int] = []
for item in (0...100) {
let traditional = sortedArray.index(of: item)
let newImplementation = sortedArray.indexUsingBinarySearch(of: item)
XCTAssertEqual(traditional, newImplementation)
}
}
}
extension Array where Element : Comparable {
// self must be a sorted Array
func indexUsingBinarySearch(of element: Element) -> Int? {
guard self.count > 0 else { return nil }
return binarySearch(for: element, minIndex: 0, maxIndex: self.count - 1)
}
private func binarySearch(for element: Element, minIndex: Int, maxIndex: Int) -> Int? {
let count = maxIndex - minIndex + 1
// if there are one or two elements, there is no futher recursion:
// stop and check one or both values (and return nil if neither)
if count == 1 {
return element == self[minIndex] ? minIndex : nil
} else if count == 2 {
switch element {
case self[minIndex]: return minIndex
case self[maxIndex]: return maxIndex
default: return nil
}
}
let breakPointIndex = Int(round(Double(maxIndex - minIndex) / 2.0)) + minIndex
let breakPoint = self[breakPointIndex]
let splitUp = (breakPoint < element)
let newMaxIndex : Int = splitUp ? maxIndex : breakPointIndex
let newMinIndex : Int = splitUp ? breakPointIndex : minIndex
return binarySearch(for: element, minIndex: newMinIndex, maxIndex: newMaxIndex)
}
}
This is quite homemade, so... caveat emptor. It does work and does do binary search.
Simple solution in Swift 5:
func binarySerach(list: [Int], item: Int) -> Int? {
var low = 0
var high = list.count - 1
while low <= high {
let mid = (low + high) / 2
let guess = list[mid]
if guess == item {
return mid
} else if guess > item {
high = mid - 1
} else {
low = mid + 1
}
}
return nil
}
let myList = [1,3,4,7,9]
print(binarySerach(list: myList, item: 9))
//Optional(4)
Details
Swift 5.2, Xcode 11.4 (11E146)
Solution
import Foundation
extension RandomAccessCollection where Element: Comparable {
private func binarySearchIteration(forIndexOf value: Element, in range: Range<Index>? = nil,
valueDetected: ((Index, _ in: Range<Index>) -> Index?)) -> Index? {
let range = range ?? startIndex..<endIndex
guard range.lowerBound < range.upperBound else { return nil }
let size = distance(from: range.lowerBound, to: range.upperBound)
let middle = index(range.lowerBound, offsetBy: size / 2)
switch self[middle] {
case value: return valueDetected(middle, range) ?? middle
case ..<value: return binarySearch(forIndexOf: value, in: index(after: middle)..<range.upperBound)
default: return binarySearch(forIndexOf: value, in: range.lowerBound..<middle)
}
}
func binarySearch(forIndexOf value: Element, in range: Range<Index>? = nil) -> Index? {
binarySearchIteration(forIndexOf: value, in: range) { currentIndex, _ in currentIndex }
}
func binarySearch(forFirstIndexOf value: Element, in range: Range<Index>? = nil) -> Index? {
binarySearchIteration(forIndexOf: value, in: range) { currentIndex, range in
binarySearch(forFirstIndexOf: value, in: range.lowerBound..<currentIndex)
}
}
func binarySearch(forLastIndexOf value: Element, in range: Range<Index>? = nil) -> Index? {
binarySearchIteration(forIndexOf: value, in: range) { currentIndex, range in
binarySearch(forFirstIndexOf: value, in: index(after: currentIndex)..<range.upperBound)
}
}
func binarySearch(forIndicesRangeOf value: Element, in range: Range<Index>? = nil) -> Range<Index>? {
let range = range ?? startIndex..<endIndex
guard range.lowerBound < range.upperBound else { return nil }
guard let currentIndex = binarySearchIteration(forIndexOf: value, in: range, valueDetected: { index, _ in index
}) else { return nil }
let firstIndex = binarySearch(forFirstIndexOf: value, in: range.lowerBound ..< index(after: currentIndex)) ?? currentIndex
let lastIndex = binarySearch(forFirstIndexOf: value, in: index(after: currentIndex) ..< range.upperBound) ?? currentIndex
return firstIndex..<index(after: lastIndex)
}
}
Usage
//let array = ["one", "two", "three", "three", "three", "three", "three", "four", "five", "five"]
//let value = "three"
let array = [1, 2, 3, 3, 3, 3, 3, 4, 5, 5]
let value = 3
print(array.binarySearch(forFirstIndexOf: value))
print(array.binarySearch(forLastIndexOf: value))
print(array.binarySearch(forIndicesRangeOf: value))
Tests
protocol _BinarySearchTestable: class where Collection: RandomAccessCollection, Collection.Element: Comparable {
associatedtype Collection
var array: Collection! { get set }
var elementToSearch: Collection.Element! { get set }
func testFindFirstIndexOfValueInCollection()
func testFindLastIndexOfValueInCollection()
func testFindIndicesRangeOfValueInCollection()
}
extension _BinarySearchTestable where Self: XCTest {
typealias Element = Collection.Element
typealias Index = Collection.Index
func _testFindFirstIndexOfValueInCollection() {
_testfindFirstIndex(comparableArray: array, testableArray: array)
}
func _testFindLastIndexOfValueInCollection() {
let index1 = array.lastIndex(of: elementToSearch)
let index2 = array.binarySearch(forLastIndexOf: elementToSearch)
_testElementsAreEqual(indexInComparableArray: index1, comparableArray: array,
indexInTestableArray: index2, testableArray: array)
}
func _testFindIndicesRangeOfValueInCollection() {
var range1: Range<Index>?
if let firstIndex = array.firstIndex(of: elementToSearch),
let lastIndex = array.lastIndex(of: elementToSearch) {
range1 = firstIndex ..< array.index(after: lastIndex)
}
let range2 = array.binarySearch(forIndicesRangeOf: elementToSearch)
XCTAssertEqual(range1, range2)
}
private func _testElementsAreEqual(indexInComparableArray: Index?, comparableArray: Collection,
indexInTestableArray: Index?, testableArray: Collection) {
XCTAssertEqual(indexInComparableArray, indexInTestableArray)
var valueInComparableArray: Element?
if let index = indexInComparableArray { valueInComparableArray = comparableArray[index] }
var valueInTestableArray: Element?
if let index = indexInComparableArray { valueInTestableArray = testableArray[index] }
XCTAssertEqual(valueInComparableArray, valueInTestableArray)
}
private func _testfindFirstIndex(comparableArray: Collection, testableArray: Collection) {
let index1 = comparableArray.firstIndex(of: elementToSearch)
let index2 = testableArray.binarySearch(forFirstIndexOf: elementToSearch)
_testElementsAreEqual(indexInComparableArray: index1, comparableArray: comparableArray,
indexInTestableArray: index2, testableArray: testableArray)
}
}
class TestsInEmptyArray: XCTestCase, _BinarySearchTestable {
var array: [String]!
var elementToSearch: String!
override func setUp() {
array = []
elementToSearch = "value"
}
func testFindFirstIndexOfValueInCollection() { _testFindFirstIndexOfValueInCollection() }
func testFindLastIndexOfValueInCollection() { _testFindLastIndexOfValueInCollection() }
func testFindIndicesRangeOfValueInCollection() { _testFindIndicesRangeOfValueInCollection() }
}
class TestsInArray: XCTestCase, _BinarySearchTestable {
var array: [Int]!
var elementToSearch: Int!
override func setUp() {
array = [1, 2, 3, 3, 3, 3, 3, 4, 5, 5]
elementToSearch = 3
}
func testFindFirstIndexOfValueInCollection() { _testFindFirstIndexOfValueInCollection() }
func testFindLastIndexOfValueInCollection() { _testFindLastIndexOfValueInCollection() }
func testFindIndicesRangeOfValueInCollection() { _testFindIndicesRangeOfValueInCollection() }
}
class TestsInArrayWithOneElement: XCTestCase, _BinarySearchTestable {
var array: [Date]!
var elementToSearch: Date!
override func setUp() {
let date = Date()
array = [date]
elementToSearch = date
}
func testFindFirstIndexOfValueInCollection() { _testFindFirstIndexOfValueInCollection() }
func testFindLastIndexOfValueInCollection() { _testFindLastIndexOfValueInCollection() }
func testFindIndicesRangeOfValueInCollection() { _testFindIndicesRangeOfValueInCollection() }
}

for loop with Array2D<Type>(columns: NumColumns, rows: NumRows) [duplicate]

How would I go about implementing a custom enumerate function that makes something like this work (Swift 2):
for ((column, row), item) in Array2D.enumerate() { ... }
In my simple Array2D struct:
struct Array2D<T> : SequenceType {
let columns: Int
let rows: Int
private var array: Array<T?>
init(columns: Int, rows: Int) {
self.columns = columns
self.rows = rows
array = Array(count: rows*columns, repeatedValue: nil)
}
subscript(column: Int, row: Int) -> T? {
get {
return array[columns*row + column]
}
set {
array[columns*row + column] = newValue
}
}
func generate() -> AnyGenerator<T?> {
var column = 0
var row = 0
return anyGenerator() {
guard row < self.rows else {
return nil
}
let item = self[column, row]
if ++column == self.columns {
column = 0
++row
}
return item
}
}
}
I couldn't find any good explanation on implementing an enumerate function in Swift
The enumerate() function in Swift returns integers starting from 0 for the first part of its tuple. Those have nothing to do with the sequence you're enumerating over. So, for instance, this won't work:
let word = "hello".characters
for (index, letter) in word.enumerate() {
print(word[index])
}
Because the indices of a characterView are String.Indexs.
So there are several ways to get what you're going for. The first is to just overload enumerate() for your struct. Again, there are a few days you could do this. First off, how about a function that uses your own generator, and uses its own logic to figure out the coordinates. This could work:
func enumerate() -> AnyGenerator<((Int, Int), T?)> {
let g = self.generate()
var coord = -1
return anyGenerator {
g.next().map { ((++coord % self.columns, coord / self.columns), $0) }
}
}
But you're duplicating code there, especially from your generate method. Seeing you're already using coordinates to return each element, why not just have your enumerate method be the default, and your generate method call on that. Something like this:
// Original generate method, now returns the coords it used
func enumerate() -> AnyGenerator<((Int, Int), T?)> {
var column = 0
var row = 0
return anyGenerator() {
guard row < self.rows else {
return nil
}
let item = self[column, row]
if ++column == self.columns {
column = 0
++row
}
return ((column, row), item)
}
}
// uses enumerate, ignores coords
func generate() -> AnyGenerator<T?> {
let g = self.enumerate()
return anyGenerator {
g.next().map { $1 }
}
}
If you wanted to go a little overboard, you could write an enumerate function that enumerates the specific indices of its base. Call it specEnumerate:
public struct SpecEnumerateGen<Base : CollectionType> : GeneratorType {
private var eG: Base.Generator
private let sI: Base.Index
private var i : Base.Index?
public mutating func next() -> (Base.Index, Base.Generator.Element)? {
i?._successorInPlace() ?? {self.i = self.sI}()
return eG.next().map { (i!, $0) }
}
private init(g: Base.Generator, i: Base.Index) {
self.eG = g
self.sI = i
self.i = nil
}
}
public struct SpecEnumerateSeq<Base : CollectionType> : SequenceType {
private let col: Base
public func generate() -> SpecEnumerateGen<Base> {
return SpecEnumerateGen(g: col.generate(), i: col.startIndex)
}
}
public extension CollectionType {
func specEnumerate() -> SpecEnumerateSeq<Self> {
return SpecEnumerateSeq(col: self)
}
}
With this function, this would work:
let word = "hello".characters
for (index, letter) in word.specEnumerate() {
print(word[index])
}
But your matrix struct is still a SequenceType, with no specific indices. For that, you'll have to implement your own MatrixIndex:
public struct MatrixIndex: BidirectionalIndexType {
public let x, y : Int
private let columns: Int
public func successor() -> MatrixIndex {
return (x + 1 == columns) ?
MatrixIndex(x: 0, y: y + 1, columns: columns) :
MatrixIndex(x: x + 1, y: y, columns: columns)
}
public func predecessor() -> MatrixIndex {
return (x == 0) ?
MatrixIndex(x: columns - 1, y: y - 1, columns: columns) :
MatrixIndex(x: x - 1, y: y, columns: columns)
}
}
public func == (lhs: MatrixIndex, rhs: MatrixIndex) -> Bool {
return lhs.x == rhs.x && lhs.y == rhs.y
}
extension MatrixIndex : CustomDebugStringConvertible {
public var debugDescription: String {
return "\(x), \(y)"
}
}
extension MatrixIndex: RandomAccessIndexType {
public func advancedBy(n: Int) -> MatrixIndex {
let total = (y * columns) + x + n
return MatrixIndex(x: total % columns, y: total / columns, columns: columns)
}
public func distanceTo(other: MatrixIndex) -> Int {
return (other.x - x) + (other.y - y) * columns
}
}
Right. Now you'll need another matrix struct:
public struct Matrix2D<T> : MutableCollectionType {
public var contents: [[T]]
public subscript(index: MatrixIndex) -> T {
get {
return contents[index.y][index.x]
} set {
self.contents[index.y][index.x] = newValue
}
}
public var count: Int { return contents[0].count * contents.count }
public var startIndex: MatrixIndex {
return MatrixIndex(x: 0, y: 0, columns: contents[0].count)
}
public var endIndex: MatrixIndex {
return MatrixIndex(x: 0, y: contents.endIndex, columns: contents[0].count)
}
}
Right. So now, after all of that, this works:
let myMatrix = Matrix2D(contents: [[1, 2], [3, 4]])
for (coordinate, value) in myMatrix.specEnumerate() {
value == myMatrix[coordinate] // True every time
}
It might suffice defining your own enumerate taking advantage of the one you already have:
func enumerate() -> AnyGenerator<((Int, Int), T?)> {
var index = 0
var g = array.generate()
return anyGenerator() {
if let item = g.next() {
let column = index % self.columns
let row = index / self.columns
++index
return ((column, row) , item)
}
return nil
}
}
Notice in this case you could avoid conforming to SequenceType since I use generate from the private array. Anyway it could be consistent to do so.
Here is how then you could use it:
var a2d = Array2D<Int>(columns: 2, rows: 4)
a2d[0,1] = 4
for ((column, row), item) in a2d.enumerate() {
print ("[\(column) : \(row)] = \(item)")
}
Hope this helps

InvokeOperation entities become null

This is my method :-
[Invoke]
public List<FamilyEvent> GetFamilyEvents(int userId)
{
List<FamilyEvent> familyEvents = new List<FamilyEvent>();
int id = -1; //just to fool ria
//this is for birthday reminders.
var qry = ((from member in this.ObjectContext.TreeMembers.Where(m => m.UserId == userId && m.Birthdate == null)
select member.TreeMemberId).Except(from item in this.ObjectContext.FamilyEvents where item.ReminderType ==
FMT.Data.Web.Helpers.Global.FAMILY_EVENTS_REMINDERS.BIRTHDAY_REMINDER
select item.TreeMemberId));
var mainQry = from mainMember in this.ObjectContext.TreeMembers
where qry.Contains(mainMember.TreeMemberId)
select mainMember;
foreach (var item in mainQry)
{
FamilyEvent familyEvent = new FamilyEvent
{
FamilyEventId = id--,
TreeMemberId = item.TreeMemberId,
RelatedTreeMemberId = -1,
ReminderType = FMT.Data.Web.Helpers.Global.FAMILY_EVENTS_REMINDERS.BIRTHDAY_REMINDER
};
familyEvent.TreeMember = item;
familyEvents.Add(familyEvent);
}
//this is for anniversary events
qry = ((from member in this.ObjectContext.TreeMembers.Where(m => m.UserId == userId && m.RelationId == (short)Relations.Partner)
select member.TreeMemberId).Except(from item in this.ObjectContext.FamilyEvents where item.ReminderType == FMT.Data.Web.Helpers.Global.FAMILY_EVENTS_REMINDERS.ANNIVERSARY_REMINDER
select item.TreeMemberId));
mainQry = from mainMember in this.ObjectContext.TreeMembers.Include("RelatedTreeMember")
where qry.Contains(mainMember.TreeMemberId)
select mainMember;
foreach (var item in mainQry)
{
FamilyEvent familyEvent = new FamilyEvent
{
TreeMemberId = item.TreeMemberId,
TreeMember = item,
RelatedTreeMemberId = item.RelatedTreeMemberId,
ReminderType = FMT.Data.Web.Helpers.Global.FAMILY_EVENTS_REMINDERS.ANNIVERSARY_REMINDER
};
familyEvent.RelatedTreeMember = item.RelatedTreeMember;
familyEvents.Add(familyEvent);
}
return familyEvents;
}
As you can see i programmatically populate the entities and populate it. When i put breakpoint on return familyEvents, i can see the correct data. However on client side, the TreeMember and RelatedTreeMember value become null. Why is it so? If i do not use [Invoke] and instead use [Query] it works, but i need Invoke in my case.

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