IP | Country | PORT | ADDED |
---|---|---|---|
50.122.86.118 | us | 80 | 8 minutes ago |
203.99.240.179 | jp | 80 | 8 minutes ago |
152.32.129.54 | hk | 8090 | 8 minutes ago |
203.99.240.182 | jp | 80 | 8 minutes ago |
50.218.208.14 | us | 80 | 8 minutes ago |
50.174.7.156 | us | 80 | 8 minutes ago |
85.8.68.2 | de | 80 | 8 minutes ago |
194.219.134.234 | gr | 80 | 8 minutes ago |
89.145.162.81 | de | 1080 | 8 minutes ago |
212.69.125.33 | ru | 80 | 8 minutes ago |
188.40.59.208 | de | 3128 | 8 minutes ago |
5.183.70.46 | ru | 1080 | 8 minutes ago |
194.182.178.90 | bg | 1080 | 8 minutes ago |
83.1.176.118 | pl | 80 | 8 minutes ago |
62.99.138.162 | at | 80 | 8 minutes ago |
158.255.77.166 | ae | 80 | 8 minutes ago |
41.230.216.70 | tn | 80 | 8 minutes ago |
194.182.163.117 | ch | 1080 | 8 minutes ago |
153.101.67.170 | cn | 9002 | 8 minutes ago |
103.216.50.224 | kh | 8080 | 8 minutes ago |
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In Node.js, you can parse JSON using the built-in JSON object or the JSON.parse() method. Here's a simple example:
// JSON string
const jsonString = '{"name": "John", "age": 30, "city": "New York"}';
// Parse JSON using JSON.parse()
try {
const jsonData = JSON.parse(jsonString);
console.log('Parsed JSON:', jsonData);
// Access individual properties
console.log('Name:', jsonData.name);
console.log('Age:', jsonData.age);
console.log('City:', jsonData.city);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
In this example:
jsonString
contains a JSON-formatted string.JSON.parse()
is used to parse the JSON string into a JavaScript object.If the JSON string is not valid, JSON.parse()
will throw an error. To handle potential errors, it's a good practice to use a try...catch
block.
If you have a JSON file and want to read and parse it in Node.js, you can use the fs
(file system) module along with JSON.parse()
. Here's an example:
const fs = require('fs');
// Read JSON file
fs.readFile('path/to/your/file.json', 'utf8', (err, data) => {
if (err) {
console.error('Error reading file:', err.message);
return;
}
// Parse JSON data
try {
const jsonData = JSON.parse(data);
console.log('Parsed JSON from file:', jsonData);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
});
Replace 'path/to/your/file.json' with the actual path to your JSON file.
Remember to handle errors appropriately, especially when dealing with file I/O operations or parsing potentially malformed JSON data.
The ModuleNotFoundError: No module named 'selenium' error indicates that Python cannot find the Selenium module in your current environment. To fix this issue, you can follow these steps
1. Install Selenium
Open your terminal or command prompt.
Run the following command to install Selenium using pip:
pip install selenium
Make sure you are running this command in the same environment where your Python script is intended to run.
2. Check Python Version
Ensure that you are using the correct Python version and that you are installing Selenium for that specific version. You can check your Python version by running:
python --version
Ensure that the pip command corresponds to the version of Python you are using.
3. Check Virtual Environment (if applicable)
If you are using a virtual environment, make sure it is activated. Install Selenium after activating the virtual environment.
# Activate the virtual environment
source venv/bin/activate # Linux/Mac
.\venv\Scripts\activate # Windows
# Install Selenium
pip install selenium
4. Check Project Interpreter in IDE
If you are using an Integrated Development Environment (IDE) such as PyCharm, make sure that the project interpreter is correctly set to the Python environment where Selenium is installed. You can check and set the interpreter in the IDE settings.
5. Recreate Virtual Environment (if applicable)
If you are still facing issues, you may consider recreating the virtual environment. Deactivate the current virtual environment, delete the existing one, and create a new virtual environment. Activate the new virtual environment and install Selenium.
6. Check System PATH
Ensure that the directory containing the Python executable and scripts is included in your system's PATH environment variable. This allows the Python interpreter to be found when executing commands.
7. Check for Typos
Double-check your code for any typos or mistakes in the import statement. Ensure that you are using the correct casing and spelling for the module name.
After following these steps, try running your Python script again. The ModuleNotFoundError should be resolved if Selenium is successfully installed in your Python environment. If the issue persists, there might be an issue with your Python environment or project configuration that requires further investigation.
Error 500 usually indicates an internal server error. When you're getting this error while querying /wd/hub/sessions to Docker Selenium, it might be due to several reasons. Here are some steps you can take to troubleshoot and resolve the issue:
Check logs: Inspect the logs of the Selenium server container to get more information about the error. You can do this by running the following command:
docker logs
Replace
Verify configuration: Ensure that your Selenium server configuration is correct. Make sure that the hub and node containers are properly set up and can communicate with each other. Check the port mappings and network settings.
Update versions: Make sure you are using compatible versions of Selenium server, WebDriver, and any other related libraries or tools. Sometimes, compatibility issues can cause unexpected errors.
Resource constraints: Check if your system has enough resources (CPU, memory, and disk space) to run the Selenium server and nodes. If your system is running out of resources, it might cause the server to return an error.
Firewall or network issues: Ensure that there are no firewall rules or network configurations that might be blocking the communication between the hub and node containers.
Restart containers: If none of the above steps help, try restarting the Selenium server and node containers. This can sometimes resolve temporary issues.
If you continue to face the issue, please provide more information about your setup, including the versions of Selenium server, WebDriver, and any other related libraries or tools you are using. This will help in providing more specific guidance to resolve the issue.
Unfortunately, it is not possible to use a proxy directly on an Xbox console. Xbox consoles do not have built-in proxy settings, and they rely on the network settings provided by your home router or modem.
If you need to use a proxy for gaming or other purposes, you should configure the proxy settings on your home router or modem. This will allow all devices connected to your network, including your Xbox console, to use the proxy.
To optimize the performance of Selenium with Chrome and Chromedriver, you can consider several strategies:
Latest Versions:
Ensure that you are using the latest version of Chrome and Chromedriver. They are frequently updated to include performance improvements and bug fixes.
Chromedriver Version Compatibility:
Make sure that the version of Chromedriver you are using is compatible with the version of Chrome installed on your machine. Mismatched versions may lead to unexpected behavior.
Headless Mode:
If you don't need to see the browser window during automation, consider running Chrome in headless mode. Headless mode can significantly improve the speed of browser automation.
chrome_options.add_argument('--headless')
Chrome Options:
Experiment with different Chrome options to see how they affect performance. For example, you can set options related to GPU usage, image loading, and more.
chrome_options.add_argument('--disable-gpu')
chrome_options.add_argument('--blink-settings=imagesEnabled=false')
Page Loading Strategy:
Adjust the page loading strategy. For example, you can set pageLoadStrategy to 'eager' or 'none' if it fits your use case.
chrome_options.add_argument('--pageLoadStrategy=eager')
Timeouts:
Adjust timeouts appropriately. For example, setting script timeouts or implicit waits can help to avoid unnecessary waiting times.
driver.set_script_timeout(10)
driver.implicitly_wait(5)
Parallel Execution:
Consider parallel execution of tests. Running tests in parallel can significantly reduce overall execution time.
Browser Window Size:
Set a specific window size to avoid unnecessary rendering.
chrome_options.add_argument('window-size=1920x1080')
Disable Extensions:
Disable unnecessary Chrome extensions during testing.
chrome_options.add_argument('--disable-extensions')
Logging:
Enable logging to identify any issues or bottlenecks.
service_args = ['--verbose', '--log-path=/path/to/chromedriver.log']
service = ChromeService(executable_path='/path/to/chromedriver', service_args=service_args)
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