Saudinet Proxy

To deactivate the proxy server on Windows 10, you need to perform the following steps:
Open the "Windows Settings" menu.
Go to the "Network and Internet" tab.
Open the "Proxy Server" section.
Deactivate the "Use setup script" option.
Deactivate "Use proxy server" option. Reboot your computer. If the proxy server option has not been disabled, deactivate the "Define parameters automatically" option in the "Proxy server" section. After that you have to restart your PC again.

Using the Internet in normal mode leads to loss of anonymity. In this case, the computer connects directly to the servers of sites and applications, recognizing the personal IP address and other confidential information. The use of redirecting proxy servers protects against all these unwanted consequences and allows you to bypass potential blocking. In order to take advantage of proxy servers of several types and varieties, it is necessary to install them properly.

Updating CoreML models in an iOS app typically involves fetching a new model file, parsing it, and then updating the CoreML model with the new version. JSON parsing can be used to extract necessary information from the fetched JSON file. Below is a step-by-step guide using Swift:

Fetch and Parse JSON

Fetch a JSON file containing information about the updated CoreML model, including its download URL, version, etc.

import Foundation

// Replace with the URL of your JSON file
let jsonURLString = "https://example.com/model_info.json"

if let url = URL(string: jsonURLString),
   let data = try? Data(contentsOf: url),
   let json = try? JSONSerialization.jsonObject(with: data, options: []) as? [String: Any] {

    // Extract information from the JSON
    if let newModelURLString = json["new_model_url"] as? String,
       let newModelVersion = json["new_model_version"] as? String {
        // Continue with the next steps
        updateCoreMLModel(with: newModelURLString, version: newModelVersion)
    }
}

Download and Save New Model:

Download the new CoreML model file from the provided URL and save it locally.

func updateCoreMLModel(with modelURLString: String, version: String) {
    guard let modelURL = URL(string: modelURLString),
          let modelData = try? Data(contentsOf: modelURL) else {
        print("Failed to download the new model.")
        return
    }

    // Save the new model to a local file
    let documentsDirectory = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask).first!
    let newModelURL = documentsDirectory.appendingPathComponent("newModel.mlmodel")

    do {
        try modelData.write(to: newModelURL)
        print("New model downloaded and saved.")
        updateCoreMLModelWithNewVersion(newModelURL, version: version)
    } catch {
        print("Error saving new model: \(error.localizedDescription)")
    }
}

Update CoreML Model:

Load the new CoreML model and update the app's model.

import CoreML

func updateCoreMLModelWithNewVersion(_ modelURL: URL, version: String) {
    do {
        // Load the new CoreML model
        let newModel = try MLModel(contentsOf: modelURL)

        // Replace the existing CoreML model with the new version
        // Assuming your model has a custom CoreMLModelManager class
        CoreMLModelManager.shared.updateModel(newModel, version: version)

        print("CoreML model updated to version \(version).")
    } catch {
        print("Error loading new CoreML model: \(error.localizedDescription)")
    }
}

Handle Model Updates in App:

Depending on your app's architecture, you might want to handle the model update in a dedicated manager or service. Ensure that you handle the update gracefully and consider user experience during the update process.

Make sure to replace placeholder URLs and customize the code according to your actual implementation. Additionally, handle errors appropriately and test thoroughly to ensure a smooth update process.

Proper parsing in C# often involves using libraries that provide robust and efficient parsing capabilities. Here are examples of parsing different types of data using standard C# libraries and techniques:

Parsing JSON with Newtonsoft.Json:

Ensure you have the Newtonsoft.Json NuGet package installed.

using Newtonsoft.Json;

// Example JSON string
string jsonString = "{\"name\": \"John\", \"age\": 25}";

// Deserialize JSON string to an object
var person = JsonConvert.DeserializeObject(jsonString);

// Define the corresponding C# class
public class Person
{
    public string Name { get; set; }
    public int Age { get; set; }
}

Parsing XML with System.Xml:

using System.Xml.Linq;

// Example XML string
string xmlString = "John25";

// Parse XML string
var xmlElement = XElement.Parse(xmlString);

// Access XML elements and attributes
string name = xmlElement.Element("name").Value;
int age = int.Parse(xmlElement.Element("age").Value);

Parsing DateTime from a String:

// Example date string
string dateString = "2022-01-01";

// Parse string to DateTime
DateTime parsedDate;
if (DateTime.TryParse(dateString, out parsedDate))
{
    // Use parsedDate
    Console.WriteLine(parsedDate.ToString("yyyy-MM-dd"));
}
else
{
    Console.WriteLine("Invalid date format");
}

Parsing Integers from a String:

// Example integer string
string numberString = "123";

// Parse string to integer
if (int.TryParse(numberString, out int parsedNumber))
{
    // Use parsedNumber
    Console.WriteLine(parsedNumber);
}
else
{
    Console.WriteLine("Invalid integer format");
}

Parsing CSV Data:

You can use the TextFieldParser class from the Microsoft.VisualBasic.FileIO namespace.

using Microsoft.VisualBasic.FileIO;
using System.IO;

// Example CSV file path
string csvFilePath = "example.csv";

// Parse CSV file
using (TextFieldParser parser = new TextFieldParser(csvFilePath))
{
    parser.TextFieldType = FieldType.Delimited;
    parser.SetDelimiters(",");

    while (!parser.EndOfData)
    {
        // Read current line
        string[] fields = parser.ReadFields();

        // Process fields
        foreach (string field in fields)
        {
            Console.Write(field + " ");
        }
        Console.WriteLine();
    }
}

Always handle exceptions appropriately when parsing, especially when dealing with user input or data from external sources.

In simple terms, it is a logically separated part of the main local or public network. It is through it that many users can use a proxy through a single server at the same time. Each connection is allocated to a separate subnet.