alcherk

/// This is a list of Hypertext Transfer Protocol (HTTP) response status codes. 
/// It includes codes from IETF internet standards, other IETF RFCs, other specifications, and some additional commonly used codes.
/// The first digit of the status code specifies one of five classes of response; an HTTP client must recognise these five classes at a minimum.
enum HTTPStatusCode: Int, Error {
    
    /// The response class representation of status codes, these get grouped by their first digit.
    enum ResponseType {
        
        /// - informational: This class of status code indicates a provisional response, consisting only of the Status-Line and optional headers, and is terminated by an empty line.
        case informational

alcherk

ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/id_rsa
ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/github_rsa
ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/mozilla_rsa

alcherk

import android.app.DownloadManager
import android.content.BroadcastReceiver
import android.content.Context
import android.content.Intent
import android.content.IntentFilter
import android.net.Uri
import android.os.Environment
import android.webkit.URLUtil
import android.widget.Toast
import com.example.quicksave.MyApp

alcherk

private func logs2console2() {
      guard let fileUrl = Bundle.main.url(forResource: "logs", withExtension: "zip") else { return }
      guard let documentsUrl = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask).first else { return }
      print(documentsUrl.absoluteString)

      try! Zip.unzipFile(fileUrl, destination: documentsUrl, overwrite: true, password: nil)

      let urls = try! FileManager.default.contentsOfDirectory(at: documentsUrl, includingPropertiesForKeys: nil)
      urls.forEach { url in
          guard url.absoluteString.contains(".log") else { return }

alcherk

import Foundation
import Kingfisher

struct ImageDownloadManager {
    
    static let shared = ImageDownloadManager()
    
    private init() {}
    
    // MARK: - Public method

alcherk

Development Phase:

Step 1: Create Certificate .pem from Certificate .p12
Command: openssl pkcs12 -clcerts -nokeys -out apns-dev-cert.pem -in apns-dev-cert.p12

Step 2: Create Key .pem from Key .p12
Command : openssl pkcs12 -nocerts -out apns-dev-key.pem -in apns-dev-key.p12

Step 3: Optional (If you want to remove pass phrase asked in second step)
Command : openssl rsa -in apns-dev-key.pem -out apns-dev-key-noenc.pem

alcherk

// NOTE(bill): Requires gb.h v0.25a

// TODO(bill): Unicode support
b32 rune_is_letter(Rune r) {
	if (gb_char_is_alpha(cast(char)r) || r == '_') {
		return true;
	}
	return false;
}

alcherk

// Based on Swift 1.2, ObjectMapper 0.15, RealmSwift 0.94.1
// Author: Timo Wälisch <[email protected]>

import UIKit
import RealmSwift
import ObjectMapper
import SwiftyJSON

class ArrayTransform<T:RealmSwift.Object where T:Mappable> : TransformType {
    typealias Object = List<T>

alcherk

Copyright 2015 Chris Eidhof

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.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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 OTHE

alcherk

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman