IP | Country | PORT | ADDED |
---|---|---|---|
72.10.160.90 | ca | 25069 | 40 minutes ago |
103.118.47.243 | kh | 8080 | 40 minutes ago |
67.43.236.20 | ca | 7937 | 40 minutes ago |
72.10.160.170 | ca | 1291 | 40 minutes ago |
213.33.126.130 | at | 80 | 40 minutes ago |
72.10.164.178 | ca | 28929 | 40 minutes ago |
67.43.227.227 | ca | 22843 | 40 minutes ago |
72.10.160.173 | ca | 24863 | 40 minutes ago |
50.217.226.43 | us | 80 | 40 minutes ago |
50.217.226.40 | us | 80 | 40 minutes ago |
122.116.29.68 | tw | 4145 | 40 minutes ago |
125.228.94.199 | tw | 4145 | 40 minutes ago |
103.118.46.176 | kh | 8080 | 40 minutes ago |
192.18.151.166 | ca | 8888 | 40 minutes ago |
45.128.133.239 | ee | 1080 | 40 minutes ago |
50.207.199.83 | us | 80 | 40 minutes ago |
82.165.198.169 | de | 39945 | 40 minutes ago |
50.144.76.221 | us | 80 | 40 minutes ago |
178.212.51.145 | 4145 | 40 minutes ago | |
72.10.160.91 | ca | 25889 | 40 minutes ago |
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Open the control panel of your computer, find and select the item "Network connection", and then click "Show network connections", "Local network connections" and "Properties". If there is a tick next to "Obtain an IP address automatically", then no dedicated proxy has been used. If you see numbers there, it will be your address.
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.
If you want to parse JSON data and display it in a TreeView in a Windows Forms application using C#, you can use the Newtonsoft.Json library for parsing JSON and the TreeView control for displaying the hierarchical structure. Below is an example demonstrating how to achieve this
Install Newtonsoft.Json
Use NuGet Package Manager Console to install the Newtonsoft.Json package:
Install-Package Newtonsoft.Json
Create a Windows Forms Application:
Design the Form:
TreeView
control and a Button
on the form.Write Code to Parse JSON and Populate TreeView:
using System;
using System.Windows.Forms;
using Newtonsoft.Json.Linq;
namespace JsonTreeViewExample
{
public partial class MainForm : Form
{
public MainForm()
{
InitializeComponent();
}
private void btnLoadJson_Click(object sender, EventArgs e)
{
// Replace with your JSON data or URL
string jsonData = @"{
""name"": ""John"",
""age"": 30,
""address"": {
""city"": ""New York"",
""zip"": ""10001""
},
""emails"": [
""[email protected]"",
""[email protected]""
]
}";
// Parse JSON data
JObject jsonObject = JObject.Parse(jsonData);
// Clear existing nodes in TreeView
treeView.Nodes.Clear();
// Populate TreeView
PopulateTreeView(treeView.Nodes, jsonObject);
}
private void PopulateTreeView(TreeNodeCollection nodes, JToken token)
{
if (token is JValue)
{
// Display the value
nodes.Add(token.ToString());
}
else if (token is JObject)
{
// Display object properties
var obj = (JObject)token;
foreach (var property in obj.Properties())
{
TreeNode newNode = nodes.Add(property.Name);
PopulateTreeView(newNode.Nodes, property.Value);
}
}
else if (token is JArray)
{
// Display array items
var array = (JArray)token;
for (int i = 0; i < array.Count; i++)
{
TreeNode newNode = nodes.Add($"[{i}]");
PopulateTreeView(newNode.Nodes, array[i]);
}
}
}
}
}
btnLoadJson_Click
event handler simulates loading JSON data. You should replace it with your method of loading JSON data (e.g., from a file, a web service, etc.).PopulateTreeView
method recursively populates the TreeView
with nodes representing the JSON structure.Run the Application:
TreeView
.This example assumes a simple JSON structure. You may need to adjust the code based on the structure of your specific JSON data. The PopulateTreeView
method handles objects, arrays, and values within the JSON data.
To pass a variable from Python to Selenium JavaScript, you can use the execute_script method provided by the WebDriver instance. This method allows you to execute custom JavaScript code within the context of the current web page. You can pass Python variables as arguments to the JavaScript code.
Here's an example using Python:
Install the required package:
pip install selenium
Create a method to execute JavaScript with a Python variable:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def execute_javascript_with_python_variable(driver, locator, python_variable):
element = WebDriverWait(driver, 10).until(EC.visibility_of_element_located(locator))
return driver.execute_script("return arguments[0] + arguments[1];", element.text + python_variable)
Use the execute_javascript_with_python_variable method in your test code:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Set up the WebDriver
driver = webdriver.Chrome()
driver.maximize_window()
# Navigate to the target web page
driver.get("https://www.example.com")
# Locate the element you want to interact with
locator = (By.ID, "element-id")
# Execute JavaScript with a Python variable
result = execute_javascript_with_python_variable(driver, locator, "Hello, World!")
# Print the result
print(result)
# Perform any additional actions as needed
# Close the browser
driver.quit()
In this example, we first create a method called execute_javascript_with_python_variable that takes a driver instance, a locator tuple containing the locator strategy and locator value, and a python_variable string containing the Python variable value. Inside the method, we use the WebDriverWait class to wait for the element to become visible and then call the execute_script method with the JavaScript code that concatenates the element's text and the Python variable.
In the test code, we set up the WebDriver, navigate to the target web page, and locate the element using the locator variable. We then call the execute_javascript_with_python_variable method with the driver, locator, and "Hello, World!" as input. The method returns the concatenated result, which we print in the console.
Remember to replace "https://www.example.com", "element-id", and "Hello, World!" with the actual URL, element ID or locator, and desired Python variable value.
Deactivating the proxy on android is a reverse process. To do this, you will need to go back to the previous settings in the browser, if that is where you set the installation parameters. In the item "Change proxy status", namely in the ProxyDroid app, set the "Off" position.
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