gavi

import UIKit
import PlaygroundSupport

class Rectangle:UIView{
    
    override func draw(_ rect: CGRect) {
        let path = UIBezierPath(rect: rect)
        path.move(to: CGPoint(x:0,y:rect.height))
        path.addLine(to: CGPoint(x:rect.width/2,y:rect.height/1.4))

gavi

import MapKit
import SwiftUI
import PlaygroundSupport

struct ContentView:View{
    var body:some View{
        VStack{
            Text("Hello, World")
            MapView()

gavi

import MapKit
import SwiftUI
import PlaygroundSupport

struct ContentView:View{
    var body:some View{
        VStack{
            Text("Hello, World")
            MapView()

gavi

using System;
using System.Text;
using RabbitMQ.Client;
using RabbitMQ.Client.Events;

namespace SBRabbit{
    class Program{
        static void Usage(){
            Console.WriteLine("SBRabbit <publish|susbscribe>");
        }

gavi

function AddSSLBinding($fqdn,$ip,$thumbprint){
    $cert = Get-ChildItem Cert:\LocalMachine\My\$($thumbprint)
    New-WebBinding -Name $fqdn -IPAddress "$($ip)" -Port 443 -Protocol "https" -HostHeader $fqdn
    $bind = Get-WebBinding -Name $fqdn -Protocol https
    $bind.AddSslCertificate($cert.GetCertHashString(), "my")
}

#Usage Example
AddSSLBinding "test.domain.com" "10.0.0.1" "12344979A469750712B5EAC6168D85EC02E053FC"

gavi

function AddHostEntry($fqdn){
    $Pattern = '^(?<IP>\d{1,3}(\.\d{1,3}){3})\s+(?<Host>.+)$'
    $File    = "$env:SystemDrive\Windows\System32\Drivers\etc\hosts"
    $Entries = @()
    $found = $false
    (Get-Content -Path $File)  | ForEach-Object {
    
        If ($_ -match $Pattern) {
        
            #Write-Host "$($Matches.IP),$($Matches.Host)" -ForegroundColor Green

gavi

function AddAttribute([System.Xml.XmlNode] $node, $name , $value){
    $attrib = $node.OwnerDocument.CreateAttribute($name)
    $attrib.Value = $value
    $node.Attributes.Append($attrib)
}

function AddConnectionString($webconfigFile, $name, $connectionString){
    [xml]$document = Get-Content $webconfigFile
    $configElement = $document.SelectSingleNode("configuration")
    $connectionStringsElement = $configElement.SelectSingleNode("connectionStrings")

gavi

hdiutil create -o /tmp/mojave.cdr.dmg -size 7130m -layout SPUD -fs HFS+J
hdiutil attach /tmp/mojave.cdr.dmg -noverify -mountpoint /Volumes/install_build
sudo /Applications/Install\ macOS\ 10.14\ Beta.app/Contents/Resources/createinstallmedia --volume /Volumes/install_build
hdiutil detach /Volumes/Install\ macOS\ 10.14\ Beta
mv /tmp/mojave.cdr.dmg ~/Desktop/InstallSystem.dmg
hdiutil convert ~/Desktop/InstallSystem.dmg -format UDTO -o ~/Desktop/mojave.iso
mv ~/Desktop/mojave.iso.cdr ~/Desktop/mojave.iso
rm ~/Desktop/InstallSystem.dmg

gavi

#Now lets export to .mlmodel format
import coremltools
coreml_model = coremltools.converters.sklearn.convert(clf,['Sepal.Length','Sepal.Width','Petal.Length','Petal.Width'],'Species')
coreml_model.author = 'Gavi Narra'
coreml_model.license = 'BSD'
coreml_model.short_description = 'Predicts the iris species provided the sepal length, sepal width, petal length and petal width.'
coreml_model.save('iris.mlmodel')

gavi

from sklearn import datasets
from sklearn.ensemble import RandomForestClassifier
import coremltools

iris = datasets.load_iris()
clf = RandomForestClassifier()
clf.fit(iris.data, iris.target_names[iris.target])
#Test to see if it is working correctly  
print(list(clf.predict(iris.data[:3])))
print(list(clf.predict([[ 5.1,3.5,1.4,0.2]])))