IP | Country | PORT | ADDED |
---|---|---|---|
50.175.123.230 | us | 80 | 56 minutes ago |
50.175.212.72 | us | 80 | 56 minutes ago |
85.89.184.87 | pl | 5678 | 56 minutes ago |
41.207.187.178 | tg | 80 | 56 minutes ago |
50.175.123.232 | us | 80 | 56 minutes ago |
125.228.143.207 | tw | 4145 | 56 minutes ago |
213.143.113.82 | at | 80 | 56 minutes ago |
194.158.203.14 | by | 80 | 56 minutes ago |
50.145.138.146 | us | 80 | 56 minutes ago |
82.119.96.254 | sk | 80 | 56 minutes ago |
85.8.68.2 | de | 80 | 56 minutes ago |
72.10.160.174 | ca | 12031 | 56 minutes ago |
203.99.240.182 | jp | 80 | 56 minutes ago |
212.69.125.33 | ru | 80 | 56 minutes ago |
125.228.94.199 | tw | 4145 | 56 minutes ago |
213.157.6.50 | de | 80 | 56 minutes ago |
203.99.240.179 | jp | 80 | 56 minutes ago |
213.33.126.130 | at | 80 | 56 minutes ago |
122.116.29.68 | tw | 4145 | 56 minutes ago |
83.1.176.118 | pl | 80 | 56 minutes ago |
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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.
Go to "Settings" of the torrent, and then in the settings menu, select the subsection "Connection", which contains network connection settings. Under "Proxy" choose the type of your proxy (Socks5 proxy is recommended), then enter the IP address and proxy port in the appropriate fields, then click "Change". Now everything is ready - the torrent works through a proxy server.
In UDP, the term "connected" has a different meaning compared to TCP. Since UDP is a connectionless protocol, there is no established connection between the sender and receiver. However, you can determine if the UDP socket is in a listening state or if it has been successfully created.
To check if a UDP socket is in a listening state, you can use the socket.SOCK_DGRAM type and the bind() method. If the socket is successfully created and bound to an address and port, it will be in a listening state and ready to receive incoming UDP packets.
Here's an example using Python:
import socket
# Create a UDP socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Bind the socket to an address and port
server_address = ('localhost', 12345)
server_socket.bind(server_address)
# Check if the socket is in a listening state
print("Socket is in a listening state: ", server_socket.getsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR) == 1)
# Close the socket
server_socket.close()
In this example, the bind() method creates a UDP socket and binds it to the specified address and port. The getsockopt() method is used to retrieve the SO_REUSEADDR option, which indicates whether the socket is in a listening state. If the value is 1, the socket is in a listening state and ready to receive incoming UDP packets.
Several virtual proxy servers can be created within one device. These are special dedicated servers that only "service" such traffic. Many devices can connect to them at the same time.
You need to open the settings menu, go to "Data and disk", and then - "Proxy settings". There you can enter the address, port number of the intermediate server, as well as username and password for authorization (if necessary).
What else…