Scarlett Proxies

Find a working proxy and start installing it in the messenger. Telegram has bots that allow you to get several proxies for free, including @socks5_bot. When you launch it, once the location is selected, you'll get an IP address, port, username and password. Go through "Settings" to "Data and Disk" and then to "Proxy Settings" and enter the required data in the highlighted fields: server, port, username and password.

Create the first profile by specifying its name and selecting the desired configuration. The configuration is a non-repeating combination of different versions of the operating system and browser. After setting the language, open the "Network" tab and select the type of proxy (socks5 or https). Now it remains only to fill in the data in the highlighted fields to complete the installation of the proxy.

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.

Parsing HTML in C++ can be achieved using libraries that provide HTML parsing capabilities. One such popular library is Gumbo, developed by Google. Gumbo is an HTML5 parsing library that provides an easy-to-use API for extracting information from HTML documents.

Here's a basic example of parsing HTML using Gumbo in C++

Install Gumbo Library

Follow the installation instructions on the Gumbo GitHub repository to build and install the library.

Include Gumbo Headers in Your C++ Code:

#include 

Write HTML Parsing Code:

#include 
#include 

void parseHtml(const char* html) {
    GumboOutput* output = gumbo_parse(html);
    // Process the parsed HTML tree
    // ...

    // Clean up
    gumbo_destroy_output(&kGumboDefaultOptions, output);
}

int main() {
    const char* html = "
Hello, World!
";
    parseHtml(html);

    return 0;
}

The parseHtml function takes an HTML string as input, uses Gumbo to parse it, and then you can traverse the resulting parse tree to extract information.

Traverse the Parse Tree:

void traverseNode(GumboNode* node) {
    if (node->type == GUMBO_NODE_ELEMENT) {
        // Handle element node
        GumboElement* element = &node->v.element;
        // Extract tag name: element->tag
        // Process attributes: element->attributes
    } else if (node->type == GUMBO_NODE_TEXT) {
        // Handle text node
        GumboText* text = &node->v.text;
        // Extract text content: text->text
    }

    // Recursively traverse child nodes
    if (node->type != GUMBO_NODE_TEXT && node->v.element.children.length > 0) {
        for (unsigned int i = 0; i < node->v.element.children.length; ++i) {
            traverseNode(static_cast(node->v.element.children.data[i]));
        }
    }
}

void processParsedHtml(GumboNode* root) {
    // Traverse the parsed HTML tree
    traverseNode(root);
}

Modify the traverseNode function according to your needs to extract information from HTML elements and text nodes.

Compile and Run:

Compile your C++ code with the Gumbo library linked.

Run the executable.

Remember to handle memory management properly and check for errors when using Gumbo. The example above provides a basic framework, and you may need to adapt it based on the specific HTML structure you are dealing with.

To scrape JSON data using RxJava in a Java application, you can use the RxJava library along with an HTTP client library to make requests. Below is an example using RxJava2 and OkHttp to scrape JSON data from a URL asynchronously.

Add Dependencies

Add the following dependencies to your project:

    io.reactivex.rxjava2
    rxjava
    2.x.y 




    com.squareup.okhttp3
    okhttp
    4.x.y 

Write the Code:

import io.reactivex.Observable;
import io.reactivex.schedulers.Schedulers;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;

public class JsonScrapingExample {

    public static void main(String[] args) {
        String url = "https://api.example.com/data"; // Replace with your JSON API URL

        // Create an Observable that emits a single item (the URL)
        Observable.just(url)
                .observeOn(Schedulers.io()) // Specify the IO thread for network operations
                .map(JsonScrapingExample::fetchJson)
                .subscribe(
                        jsonData -> {
                            // Process the JSON data (replace this with your scraping logic)
                            System.out.println("Scraped JSON data: " + jsonData);
                        },
                        Throwable::printStackTrace
                );
    }

    // Function to fetch JSON data using OkHttp
    private static String fetchJson(String url) throws Exception {
        OkHttpClient client = new OkHttpClient();
        Request request = new Request.Builder()
                .url(url)
                .build();

        try (Response response = client.newCall(request).execute()) {
            if (!response.isSuccessful()) {
                throw new Exception("Failed to fetch JSON. HTTP Code: " + response.code());
            }

            // Return the JSON data as a string
            return response.body().string();
        }
    }
}

2. • Replace the url variable with the actual URL of the JSON API you want to scrape.
   • The fetchJson function uses OkHttp to make an HTTP request and fetch the JSON data.

3. Run the Code:

   • Execute the Java code to fetch and process the JSON data asynchronously using RxJava.

This example uses RxJava's Observable to create an asynchronous stream of events. The observeOn(Schedulers.io()) part specifies that the network operation (fetchJson) should run on the IO thread to avoid blocking the main thread.

Make sure to handle exceptions appropriately and adjust the code based on the structure of the JSON API you are working with.