IP | Country | PORT | ADDED |
---|---|---|---|
83.1.176.118 | pl | 80 | 13 minutes ago |
39.175.92.35 | cn | 30001 | 13 minutes ago |
72.10.160.173 | ca | 1901 | 13 minutes ago |
41.230.216.70 | tn | 80 | 13 minutes ago |
80.120.49.242 | at | 80 | 13 minutes ago |
203.99.240.179 | jp | 80 | 13 minutes ago |
190.58.248.86 | tt | 80 | 13 minutes ago |
80.228.235.6 | de | 80 | 13 minutes ago |
194.219.134.234 | gr | 80 | 13 minutes ago |
195.23.57.78 | pt | 80 | 13 minutes ago |
213.143.113.82 | at | 80 | 13 minutes ago |
194.158.203.14 | by | 80 | 13 minutes ago |
62.99.138.162 | at | 80 | 13 minutes ago |
82.119.96.254 | sk | 80 | 13 minutes ago |
80.120.130.231 | at | 80 | 13 minutes ago |
189.202.188.149 | mx | 80 | 13 minutes ago |
213.157.6.50 | de | 80 | 13 minutes ago |
41.207.187.178 | tg | 80 | 13 minutes ago |
115.127.31.66 | bd | 8080 | 13 minutes ago |
85.8.68.2 | de | 80 | 13 minutes ago |
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Yes, you can speed up XML parsing using Python's ElementTree module by following some optimization techniques. Here are a few tips
1. Use Iterative Parsing (iterparse)
Instead of using ElementTree.parse(), consider using ElementTree.iterparse() for iterative parsing. It allows you to process the XML tree element by element, reducing memory usage compared to parsing the entire tree at once.
import xml.etree.ElementTree as ET
for event, element in ET.iterparse('your_file.xml'):
# Process the element here
pass
2. Use a Streaming Parser
ElementTree is a tree-based parser, but for large XML files, consider using a streaming parser like xml.sax or lxml. Streaming parsers read the XML file sequentially, avoiding the need to load the entire document into memory.
import xml.sax
class MyHandler(xml.sax.ContentHandler):
def startElement(self, name, attrs):
# Process the start of an element
def endElement(self, name):
# Process the end of an element
parser = xml.sax.make_parser()
handler = MyHandler()
parser.setContentHandler(handler)
parser.parse('your_file.xml')
3. Disable DTD Loading
If your XML file doesn't require DTD (Document Type Definition) validation, you can disable it to speed up parsing. DTD validation can introduce overhead.
parser = ET.XMLParser()
parser.entity = {}
tree = ET.parse('your_file.xml', parser=parser)
4. Use a Faster Parser (lxml)
Consider using the lxml library, which is known for being faster than the built-in ElementTree. Install it using:
pip install lxml
Then, use it in your code:
from lxml import etree
tree = etree.parse('your_file.xml')
5. Use a Subset of Data
If you don't need the entire XML document, parse only the subset of data that you need. This reduces the amount of data being processed.
6. Profile Your Code
Use profiling tools like cProfile to identify bottlenecks in your code. This will help you focus on optimizing specific parts of your XML processing logic.
To get the content of an HTML element (such as text inside a tag) using Selenium, you can use the text property of the WebElement. Here's an example in Python:
from selenium import webdriver
# Create a WebDriver instance (e.g., Chrome)
driver = webdriver.Chrome()
# Navigate to a webpage
driver.get("https://example.com")
# Find an element by its CSS selector (replace with your actual selector)
element = driver.find_element_by_css_selector("h1")
# Get the text content of the element
element_text = element.text
print("Element Text:", element_text)
# Close the browser when done
driver.quit()
In this example:
WebDriver
instance is created (using Chrome in this case).find_element_by_css_selector
. You can use other locators such as ID, class name, XPath, etc., based on your needs.text
property of the WebElement
is used to retrieve the text content of the element.Adjust the CSS selector in the find_element_by_css_selector
method to match the HTML element you want to extract content from.
Remember that the text
property returns the visible text of the element, excluding any hidden text or text inside child elements. If you need to capture all text content, including hidden elements, you may need to use other methods to extract HTML content and then parse it accordingly.
Google Chrome doesn't have a built-in function to work with a proxy server, although there is such an item in the settings. But when you click on it, you are automatically "redirected" to the standard proxy settings in Windows (or any other operating system).
The main task is to monitor traffic on the local network, as all requests will be handled by an organized proxy. Most often it is used to block access to certain resources in offices.
You can bypass the blocking of the messenger by using the built-in proxy server in the application. To do this, go to "Settings" and then to the section "Data and storage". Here, in the "Proxy settings" tab, you will find the "Add proxy" item. A shield icon on the top line of the menu will indicate that the proxy is enabled.
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