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https://github.com/phimage/Arithmosophi
A set of protocols for Arithmetic, Statistics and Logical operations
https://github.com/phimage/Arithmosophi
Last synced: 3 days ago
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A set of protocols for Arithmetic, Statistics and Logical operations
- Host: GitHub
- URL: https://github.com/phimage/Arithmosophi
- Owner: phimage
- License: mit
- Created: 2015-06-18T13:56:43.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2021-01-26T23:41:34.000Z (almost 4 years ago)
- Last Synced: 2024-11-26T02:51:34.353Z (16 days ago)
- Language: Swift
- Homepage:
- Size: 1.14 MB
- Stars: 67
- Watchers: 4
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ios - Arithmosophi - A set of protocols for Arithmetic and Logical operations. (Math / Other Hardware)
- awesome-swift - Arithmosophi - Set of protocols for Arithmetic and Logical operations. (Libs / Math)
- awesome-swift - Arithmosophi - Set of protocols for Arithmetic and Logical operations. (Libs / Math)
- awesome-ios-star - Arithmosophi - A set of protocols for Arithmetic and Logical operations. (Math / Other Hardware)
- fucking-awesome-swift - Arithmosophi - Set of protocols for Arithmetic and Logical operations. (Libs / Math)
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- awesome-swift - Arithmosophi - A set of protocols for Arithmetic, Statistics and Logical operations ` 📝 5 months ago ` (Math [🔝](#readme))
README
# Arithmosophi - Arithmosoϕ
[](https://gitter.im/phimage/Arithmosophi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](http://mit-license.org)
[](https://developer.apple.com/resources/)
[](https://developer.apple.com/swift)
[](https://github.com/phimage/Arithmosophi/issues)
[](http://cocoadocs.org/docsets/Arithmosophi/)
[](https://github.com/Carthage/Carthage)
[
](#logo) Arithmosophi is a set of missing protocols that simplify arithmetic and statistics on generic objects or functions.
As `Equatable` define the `==` operator , `Addable` will define the `+` operator.
```swift
protocol Addable {
func + (lhs: Self, rhs: Self) -> Self
}
[1, 2, 3, 4].sum // 1 + 2 + 3 + 4
[0, 1, 2, 3, 4].average // 2
[13, 2.4, 3, 4].varianceSample
```
- As you might guess `Substractable` define `-` operator, `Multiplicatable` define `*` operator, etc..., all defined in [Arithmosophi.swift](Sources/Arithmosophi.swift)
## Contents ##
- [Generic functions](#generic-functions)
- [CollectionType](#collectiontype)
- [Average](#average)
- [Median](#median)
- [Variance](#variance)
- [Standard deviation](#standard-deviation)
- [Skewness](#skewness)
- [Kurtosis](#kurtosis)
- [Covariance](#covariance)
- [Object attributes](#object-attributes)
- [Logical operations](#logical-operations)
- [Complex](#complex)
- [Geometry](#geometry)
- [Setup](#setup)
## Generic functions ##
Take a look at `sumOf` function
```swift
func sumOf(input : [T]) -> T {
return reduce(input, T()) {$0 + $1}
}
```
Array of `Int`, `Double` and even `String` could be passed as argument to this function. Any `Addable` objects.
No need to implement a function for `Double`, one for `Float`, one more for `Int`, etc...
*`sumOf` and `productOf` functions are available in [Arithmosophi.swift](Arithmosophi.swift)*
## CollectionType ##
This framework contains some useful extensions on `CollectionType`
```swift
[1, 2, 3, 4].sum // 1 + 2 + 3 + 4
[1, 2, 3, 4].product // 1 * 2 * 3 * 4
["a","b","c","d"].sum // "abcd" same as joinWithSeparator("")
[["a","b"],["c"],["d"]].sum // ["a","b","c","d"] same as flatMap{$0}
```
### Average ###
_with [MesosOros.swift](Sources/MesosOros.swift)_
Computes [arithmetic average/mean](http://en.wikipedia.org/wiki/Arithmetic_mean)
```swift
[1, 2, 3, 4].average // (1 + 2 + 3 + 4) / 4
```
A type is `Averagable` if it can be dividable by an `Int` and define an operator to do that
```swift
func /(lhs: Self, rhs: Int) -> Self
```
All arithmetic type conform to this protocol and you can get an average for a `CollectionType`
P.S. You can conform to this protocol and `Addable` to make a custom average.
### Median ###
_with [MesosOros.swift](Sources/MesosOros.swift)_
Get the [median value](http://en.wikipedia.org/wiki/Median) from the array
- Returns the average of the two middle values if there is an even number of elements in the `CollectionType`.
```swift
[1, 11, 19, 4, -7].median // 4
```
- Returns the lower of the two middle values if there is an even number of elements in the `CollectionType`.
```swift
[1.0, 11, 19.5, 4, 12, -7].medianLow // 4
```
- Returns the higher of the two middle values if there is an even number of elements in the `CollectionType`.
```swift
[1, 11, 19, 4, 12, -7].medianHigh // 11
```
### Variance ###
_with [Sigma.swift](Sources/Sigma.swift)_
Computes [variance](http://en.wikipedia.org/wiki/Variance).
- [The sample variance](https://en.wikipedia.org/wiki/Variance#Sample_variance): Σ( (Element - average)^2 ) / (count - 1)
```swift
[1.0, 11, 19.5, 4, 12, -7].varianceSample
```
- [The population variance](https://en.wikipedia.org/wiki/Variance#Sample_variance): Σ( (Element - average)^2 ) / count
```swift
[1.0, 11, 19.5, 4, 12, -7].variancePopulation
```
### Standard deviation ###
_with [Sigma.swift](Sources/Sigma.swift)_
Computes [standard deviation](http://en.wikipedia.org/wiki/Standard_deviation).
- [sample based](https://en.wikipedia.org/wiki/Standard_deviation#Sample-based_statistics)
```swift
[1.0, 11, 19.5, 4, 12, -7].standardDeviationSample
```
- [population based](https://en.wikipedia.org/wiki/Standard_deviation#Population-based_statistics)
```swift
[[1.0, 11, 19.5, 4, 12, -7].standardDeviationPopulation
```
### Skewness ###
_with [Sigma.swift](Sources/Sigma.swift)_
Computes [skewness](https://en.wikipedia.org/wiki/Skewness).
```swift
[1.0, 11, 19.5, 4, 12, -7].skewness // or .moment.skewness
```
### Kurtosis ###
_with [Sigma.swift](Sources/Sigma.swift)_
Computes [kurtosis](https://en.wikipedia.org/wiki/Kurtosis).
```swift
[1.0, 11, 19.5, 4, 12, -7].kurtosis // or .moment.kurtosis
```
### Covariance ###
_with [Sigma.swift](Sources/Sigma.swift)_
Computes [covariance](http://en.wikipedia.org/wiki/Covariance) with another `CollectionType`
- [sample covariance](http://en.wikipedia.org/wiki/Sample_mean_and_sample_covariance)
```swift
[1, 2, 3.5, 3.7, 8, 12].covarianceSample([0.5, 1, 2.1, 3.4, 3.4, 4])
```
- population covariance
```swift
[1, 2, 3.5, 3.7, 8, 12].covariancePopulation([0.5, 1, 2.1, 3.4, 3.4, 4])
```
- [Pearson product-moment correlation coefficient](http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient)
```swift
[1, 2, 3.5, 3.7, 8, 12].pearson([0.5, 1, 2.1, 3.4, 3.4, 4])
```
## Complex ##
_with [Complex.swift](Sources/Complex.swift)_
`Complex` is a struct of two `ArithmeticType`, the real and the imaginary component
```swift
var complex = Complex(real: 12, imaginary: 9)
complex = 12 + 9.i
```
You can apply operation on it `(+, -, *, /, ++, --, -)`
```
result = complex + 8 // Complex(real: 20, imaginary: 9)
Complex(real: 12, imaginary: 9) + Complex(real: 8, imaginary: 1)
// Complex(real: 20, imaginary: 10)
```
## Object attributes ##
The power of this simple arithmetic protocols are released when using operators
If we implement a box object containing a generic `T` value
```swift
class Box {
var value: T
}
```
we can define some operators on it, in a generic way, like we can do with `Equatable` or `Comparable`
```swift
func += (inout box: Box, addend: T) {
box.value = box.value + addend
}
func -= (inout box: Box, addend: T) {
box.value = box.value - addend
}
```
how to use this operator:
```swift
var myInt: Box(5)
myInt += 37
```
For a full example, see [Prephirence](https://github.com/phimage/Prephirences/blob/master/Prephirences/Preference.swift) file from [Prephirences](https://github.com/phimage/Prephirences) framework, or sample [Box.swift](Samples/Box.swift)
### Optional trick ###
For optional attribute you can use `Initializable` or any protocol which define a way to get a value
```swift
class Box {
var value: T?
}
func += (inout box: Box, addend: T) {
box.value = (box.value ?? T()) + addend
}
```
## Logical operations ##
[`LogicalOperationsType`](Sources/LogicalOperationsType.swift) is a missing protocol for `Bool` inspired from `BitwiseOperationsType` (or `IntegerArithmeticType`)
The purpose is the same, implement functions without knowing the base type
You can for instance implement your own [`Boolean` enum](Samples/Boolean.swift) and implement the protocol
```swift
enum Boolean: LogicalOperationsType {case True, False}
func && (left: Boolean, @autoclosure right: () -> Boolean) -> Boolean {
switch left {
case .False: return .False
case .True: return right()
}
}
...
```
then create only **one** operator on `Box` for `Bool`, `Boolean` and any `LogicalOperationsType`
```swift
func &&= (inout box: Box, @autoclosure right: () -> TT) {
box.value = box.value && right()
}
```
Take a look at a more complex enum [Optional](Samples/Optional.swift) which implement also `LogicalOperationsType`
## Geometry ##
with `Arithmos`(number) & `Statheros`(constant)
[`Arithmos`](Sources/Arithmos.swift) and [`Statheros`](Sources/Statheros.swift) add respectively functions and mathematical constants for `Double`, `Float` and `CGFloat`, allowing to implement generic functions without taking care of type
```swift
func distance(#x: T, y: T) -> T {
return x.hypot(y)
}
func radiansFromDegrees(degrees: T) -> T {
return degrees * T.PI / T(180.0)
}
```
Take a look at [Geometry.swift](Samples/Geometry.swift) for more examples
## Setup
### Using [cocoapods](http://cocoapods.org/) ##
```ruby
pod 'Arithmosophi'
```
Not interested in full framework ? install a subset with:
```ruby
pod 'Arithmosophi/Core' # Arithmosophi.swift
pod 'Arithmosophi/Logical' # LogicalOperationsType.swift
pod 'Arithmosophi/Complex' # Complex.swift
pod 'Arithmosophi/MesosOros' # MesosOros.swift
pod 'Arithmosophi/Arithmos' # Arithmos.swift
pod 'Arithmosophi/Sigma' # Sigma.swift
pod 'Arithmosophi/Statheros' # Statheros.swift
pod 'Arithmosophi/Samples' # Samples/*.swift (not installed by default)
```
*Add `use_frameworks!` to the end of the `Podfile`.*
#### Make your own framework dependent
In podspec file
```ruby
s.dependency 'Arithmosophi'
```
or define only wanted targets
```ruby
s.dependency 'Arithmosophi/Core'
s.dependency 'Arithmosophi/Logical'
```
## Using xcode ##
Drag files to your projects