IP | Country | PORT | ADDED |
---|---|---|---|
125.228.94.199 | tw | 4145 | 54 minutes ago |
79.110.202.131 | pl | 8081 | 54 minutes ago |
203.95.199.159 | kh | 8080 | 54 minutes ago |
185.49.31.207 | pl | 8081 | 54 minutes ago |
128.199.202.122 | sg | 8080 | 54 minutes ago |
212.39.114.139 | ba | 5678 | 54 minutes ago |
122.116.29.68 | tw | 4145 | 54 minutes ago |
103.118.46.61 | kh | 8080 | 54 minutes ago |
194.158.203.14 | by | 80 | 54 minutes ago |
103.216.50.223 | kh | 8080 | 54 minutes ago |
125.228.143.207 | tw | 4145 | 54 minutes ago |
221.231.13.198 | cn | 1080 | 54 minutes ago |
95.43.244.15 | bg | 4153 | 54 minutes ago |
189.202.188.149 | mx | 80 | 54 minutes ago |
103.63.190.72 | kh | 8080 | 54 minutes ago |
203.19.38.114 | cn | 1080 | 54 minutes ago |
103.216.50.206 | kh | 8080 | 54 minutes ago |
212.127.93.185 | pl | 8081 | 54 minutes ago |
212.31.100.138 | cy | 4153 | 54 minutes ago |
220.248.70.237 | cn | 9002 | 54 minutes ago |
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And it depends on what purpose the proxy is used for. But you should definitely give preference to paid proxies. They are more reliable, always available, and with that comes a guarantee of privacy. Unfortunately, personal data is often stolen from free proxies.
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.
When scraping a website and encountering a 307 redirect, it means that the server is temporarily redirecting the request to another URL. To handle this in your scraping code, you'll need to follow the redirect. Below is an example using C# with the HttpClient class:
using System;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
string url = "https://example.com";
using (HttpClient client = new HttpClient())
{
HttpResponseMessage response = await client.GetAsync(url);
if (response.StatusCode == System.Net.HttpStatusCode.OK)
{
string content = await response.Content.ReadAsStringAsync();
// Process the content as needed
Console.WriteLine(content);
}
else if (response.StatusCode == System.Net.HttpStatusCode.TemporaryRedirect) // 307
{
Uri redirectUri = response.Headers.Location;
// Follow the redirect
HttpResponseMessage redirectResponse = await client.GetAsync(redirectUri);
if (redirectResponse.StatusCode == System.Net.HttpStatusCode.OK)
{
string content = await redirectResponse.Content.ReadAsStringAsync();
// Process the content after following the redirect
Console.WriteLine(content);
}
else
{
Console.WriteLine($"Error after following redirect: {redirectResponse.StatusCode}");
}
}
else
{
Console.WriteLine($"Error: {response.StatusCode}");
}
}
}
}
In this example:
client.GetAsync(url)
.OK
(200), you can process the content.TemporaryRedirect
(307), you extract the redirect URL from the response headers (response.Headers.Location
) and make another request to that URL.OK
, you can process the content.Make sure to handle exceptions appropriately and include error handling based on your specific requirements. Additionally, be aware of the website's terms of service and policies when scraping, and consider adding headers to your requests to mimic a more natural browsing behavior.
Automating login to Discord using Selenium involves interacting with the web elements on the Discord login page. Here's an example using Python with Selenium to automate the login process:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time
# Replace these with your Discord login credentials
email = "your_email@example.com"
password = "your_password"
# Create a WebDriver instance (assuming Chrome in this example)
driver = webdriver.Chrome()
try:
# Navigate to the Discord login page
driver.get("https://discord.com/login")
# Wait for the page to load
time.sleep(2)
# Find the email input field and enter your email
email_input = driver.find_element("name", "email")
email_input.send_keys(email)
# Find the password input field and enter your password
password_input = driver.find_element("name", "password")
password_input.send_keys(password)
# Submit the login form
password_input.send_keys(Keys.RETURN)
# Wait for the login process to complete (adjust the time as needed)
time.sleep(5)
# Once logged in, you can perform other actions as needed
finally:
# Close the browser window
driver.quit()
"your_email@example.com"
and "your_password"
with your Discord email and password.webdriver.Chrome()
creates a Chrome WebDriver instance. Make sure you have the ChromeDriver executable in your system's PATH or provide the path explicitly.driver.get("https://discord.com/login")
navigates to the Discord login page.time.sleep()
is used to wait for the page to load and for the login process to complete. You may need to adjust the sleep duration based on your system and network speed.Keys.RETURN
is used to simulate pressing the Enter key, submitting the login form.After logging in, you can continue with additional actions or navigate to other pages within Discord.
In e-mail, proxy servers are used for secure data exchange as well as for collecting e-mails from several e-mail addresses at once. For example, this is how Gmail works, which also allows you to receive e-mails from mail.ru and other e-mail services.
What else…