IP | Country | PORT | ADDED |
---|---|---|---|
27.109.215.216 | mo | 80 | 37 minutes ago |
194.182.163.117 | ch | 3128 | 37 minutes ago |
103.118.47.243 | kh | 8080 | 37 minutes ago |
103.118.46.61 | kh | 8080 | 37 minutes ago |
188.40.59.208 | de | 3128 | 37 minutes ago |
220.248.70.237 | cn | 9002 | 37 minutes ago |
143.42.66.91 | sg | 80 | 37 minutes ago |
203.99.240.179 | jp | 80 | 37 minutes ago |
213.143.113.82 | at | 80 | 37 minutes ago |
102.165.58.218 | kh | 8080 | 37 minutes ago |
62.99.138.162 | at | 80 | 37 minutes ago |
203.99.240.182 | jp | 80 | 37 minutes ago |
41.230.216.70 | tn | 80 | 37 minutes ago |
103.216.50.11 | kh | 8080 | 37 minutes ago |
154.236.177.101 | eg | 1977 | 37 minutes ago |
103.63.190.107 | kh | 8080 | 37 minutes ago |
128.140.113.110 | de | 5678 | 37 minutes ago |
91.241.217.58 | ua | 9090 | 37 minutes ago |
103.118.46.176 | kh | 8080 | 37 minutes ago |
89.145.162.81 | de | 1080 | 37 minutes ago |
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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.
In Python, when using socket module, both TCP and UDP sockets have different local addresses (laddr) because they serve different purposes and have different characteristics.
TCP (Transmission Control Protocol) is a connection-oriented protocol that ensures reliable, in-order, and error-checked delivery of data between the sender and receiver. It uses a connection establishment phase to establish a session between the sender and receiver, and it maintains a connection state throughout the data exchange.
UDP (User Datagram Protocol) is a connectionless protocol that provides a simple and fast way to send and receive data without the overhead of establishing and maintaining a connection. It does not guarantee the delivery, order, or error-checking of data packets.
Here are the main differences between TCP and UDP sockets in Python:
1. Local Address (laddr):
TCP Socket: The laddr for a TCP socket contains the IP address and port number of the local endpoint that is listening for incoming connections. This is the address and port that the server binds to and listens on for incoming connections.
UDP Socket: The laddr for a UDP socket contains the IP address and port number of the local endpoint that is sending or receiving data. This is the address and port that the client uses to send data or the server uses to receive data.
2. Connection:
TCP Socket: TCP sockets establish a connection between the client and server before data exchange.
UDP Socket: UDP sockets do not establish a connection; they send and receive data without a connection.
3. Reliability:
TCP Socket: TCP provides reliable, in-order, and error-checked data delivery.
UDP Socket: UDP does not guarantee data delivery, order, or error checking.
In summary, the different laddr values in TCP and UDP sockets are due to their different purposes and characteristics. TCP sockets use laddr to represent the listening endpoint, while UDP sockets use laddr to represent the sending or receiving endpoint.
In Scrapy, you can control the caching behavior of requests made by rules in your spider by adjusting the dont_cache attribute in the Rule object. The dont_cache attribute, when set to True, indicates that the requests matched by the rule should not be cached.
Here's an example of how you can use dont_cache in a CrawlSpider:
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
class MySpider(CrawlSpider):
name = 'my_spider'
allowed_domains = ['example.com']
start_urls = ['http://example.com']
rules = (
# Example Rule with dont_cache set to True
Rule(LinkExtractor(allow=('/page/')), callback='parse_page', follow=True, dont_cache=True),
)
def parse_page(self, response):
# Your parsing logic for individual pages goes here
pass
- The spider is defined as a CrawlSpider.
- The Rule is created with LinkExtractor to match URLs that contain '/page/' in them.
- The dont_cache=True attribute is set to True in the Rule, indicating that requests matched by this rule should not be cached.
By setting dont_cache to True, Scrapy will make sure that requests matched by this rule will be fetched without considering the cache. This is useful when you want to ensure that each request to the specified URLs results in a fresh response, bypassing any cached data.
Such proxy redirects requests from clients to different servers (globally or within a single local network). It can be used for load balancing in different Internet services, for testing web applications, for secured access to local network servers (all "non-client" traffic is ignored).
The main scenarios for using a proxy server: bypassing blocking, hiding the real IP, protection of confidential data when connecting to public WiFi access points, interaction with blocked applications, connection to closed portals, forums (which operate only in one country, region).
What else…