IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 50 minutes ago |
85.8.68.2 | de | 80 | 50 minutes ago |
41.207.187.178 | tg | 80 | 50 minutes ago |
213.33.126.130 | at | 80 | 50 minutes ago |
43.134.33.254 | sg | 3128 | 50 minutes ago |
83.1.176.118 | pl | 80 | 50 minutes ago |
195.23.57.78 | pt | 80 | 50 minutes ago |
213.143.113.82 | at | 80 | 50 minutes ago |
194.158.203.14 | by | 80 | 50 minutes ago |
62.99.138.162 | at | 80 | 50 minutes ago |
203.99.240.182 | jp | 80 | 50 minutes ago |
80.120.130.231 | at | 80 | 50 minutes ago |
87.248.129.26 | ae | 80 | 50 minutes ago |
62.182.204.81 | ru | 88 | 50 minutes ago |
213.157.6.50 | de | 80 | 50 minutes ago |
190.58.248.86 | tt | 80 | 50 minutes ago |
80.228.235.6 | de | 80 | 50 minutes ago |
97.74.87.226 | sg | 80 | 50 minutes ago |
39.175.92.35 | cn | 30001 | 50 minutes ago |
193.123.244.193 | kr | 8080 | 50 minutes ago |
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You can check it with the ping command from the command line in Windows. It is enough to enter it, with a space - the data of the proxy server (including the number of the port used) and press Enter. The reply message will tell you whether or not you have received a reply from the remote server. If not, the proxy is unavailable, respectively.
Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.
It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.
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.
Encrypting a UDP connection with TLS is not directly possible, as TLS is designed to work with TCP connections. However, you can use Datagram TLS (DTLS) or Secure Reliable Datagram (SRD) to achieve a similar result. DTLS is an extension of TLS that works with UDP, while SRD is a protocol that provides secure and reliable datagrams over UDP.
Here's an example of how to encrypt a UDP connection with DTLS using the Crypto++ library in C++:
1. First, install the Crypto++ library on your system. You can find the installation instructions at: https://www.cryptopp.com/wiki/Installing
2. Create a new C++ project and include the necessary Crypto++ headers.
3. Define the necessary structures and classes for DTLS:
#include
#include
#include
#include
#include
#include
#include
#include
#include
#include
#include
#include
#include
#include
4. Implement the DTLS handshake and data exchange:
int main()
{
try
{
CryptoPP::AutoSeededRandomPool rng;
// Generate a DTLS context
CryptoPP::DTLS_Context dtlsContext(CryptoPP::DTLS_CLIENT);
// Set up the DTLS context
dtlsContext.SetPeerCertVerificationCallback(
[](const CryptoPP::DTLS_PeerCertificate& peerCert, int& errorCode) -> bool
{
// Verify the peer certificate
// Return true if the certificate is valid, false otherwise
});
// Perform the DTLS handshake
dtlsContext.StartHandshake();
// Send data over the encrypted UDP connection
std::string data = "Hello, secure UDP!";
std::vector encryptedData;
dtlsContext.Encrypt(data.data(), data.size(), encryptedData);
// Receive data over the encrypted UDP connection
std::vector receivedData(encryptedData.size());
dtlsContext.Decrypt(receivedData.data(), receivedData.size(), encryptedData);
// Convert the received data to a string
std::string receivedString(receivedData.begin(), receivedData.end());
// Output the received data
What else…