Bulgarian Proxy

Proper parsing in C# often involves using libraries that provide robust and efficient parsing capabilities. Here are examples of parsing different types of data using standard C# libraries and techniques:

Parsing JSON with Newtonsoft.Json:

Ensure you have the Newtonsoft.Json NuGet package installed.

using Newtonsoft.Json;

// Example JSON string
string jsonString = "{\"name\": \"John\", \"age\": 25}";

// Deserialize JSON string to an object
var person = JsonConvert.DeserializeObject(jsonString);

// Define the corresponding C# class
public class Person
{
    public string Name { get; set; }
    public int Age { get; set; }
}

Parsing XML with System.Xml:

using System.Xml.Linq;

// Example XML string
string xmlString = "John25";

// Parse XML string
var xmlElement = XElement.Parse(xmlString);

// Access XML elements and attributes
string name = xmlElement.Element("name").Value;
int age = int.Parse(xmlElement.Element("age").Value);

Parsing DateTime from a String:

// Example date string
string dateString = "2022-01-01";

// Parse string to DateTime
DateTime parsedDate;
if (DateTime.TryParse(dateString, out parsedDate))
{
    // Use parsedDate
    Console.WriteLine(parsedDate.ToString("yyyy-MM-dd"));
}
else
{
    Console.WriteLine("Invalid date format");
}

Parsing Integers from a String:

// Example integer string
string numberString = "123";

// Parse string to integer
if (int.TryParse(numberString, out int parsedNumber))
{
    // Use parsedNumber
    Console.WriteLine(parsedNumber);
}
else
{
    Console.WriteLine("Invalid integer format");
}

Parsing CSV Data:

You can use the TextFieldParser class from the Microsoft.VisualBasic.FileIO namespace.

using Microsoft.VisualBasic.FileIO;
using System.IO;

// Example CSV file path
string csvFilePath = "example.csv";

// Parse CSV file
using (TextFieldParser parser = new TextFieldParser(csvFilePath))
{
    parser.TextFieldType = FieldType.Delimited;
    parser.SetDelimiters(",");

    while (!parser.EndOfData)
    {
        // Read current line
        string[] fields = parser.ReadFields();

        // Process fields
        foreach (string field in fields)
        {
            Console.Write(field + " ");
        }
        Console.WriteLine();
    }
}

Always handle exceptions appropriately when parsing, especially when dealing with user input or data from external sources.

When scraping data from a website, it's common to encounter empty strings or strings that consist only of whitespace. To get rid of these empty or whitespace-only strings, you can use various approaches depending on the programming language you're using. Below are examples in Python and JavaScript.

Python:

# Example list containing strings with some empty or whitespace-only strings
data = ["apple", "", "  ", "banana", "  ", "cherry", ""]

# Remove empty and whitespace-only strings using list comprehension
filtered_data = [s.strip() for s in data if s.strip()]

# Print the filtered data
print(filtered_data)

In this example, s.strip() is used to remove leading and trailing whitespace from each string, and if s.strip() is used to filter out empty and whitespace-only strings.

JavaScript:

// Example array containing strings with some empty or whitespace-only strings
const data = ["apple", "", "  ", "banana", "  ", "cherry", ""];

// Remove empty and whitespace-only strings using filter and trim
const filteredData = data.filter(s => s.trim() !== "");

// Log the filtered data
console.log(filteredData);

In JavaScript, s.trim() is used to remove leading and trailing whitespace, and s.trim() !== "" is used as a condition in the filter function to exclude empty and whitespace-only strings.

Sending large files over UDP can be a bit tricky because UDP does not guarantee delivery, order, or even that packets won't be duplicated. However, it is possible to send large files using UDP by breaking the file into smaller chunks and sending each chunk separately. Here's a step-by-step guide on how to do it in Python:

1. Import necessary libraries:

import os
import socket
import pickle

2. Define a function to serialize the file data:

def serialize_file_data(file_data):
    return pickle.dumps(file_data)

3. Create a UDP socket:

def create_udp_socket(host, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    sock.bind((host, port))
    return sock

4. Send the file data over UDP:

def send_file(sock, file_data, host, port):
    serialized_file_data = serialize_file_data(file_data)
    sock.sendto(serialized_file_data, (host, port))

5. Define a function to deserialize the file data:

def deserialize_file_data(file_data):
    return pickle.loads(file_data)

6. Create a function to receive the file data:

def receive_file(sock, host, port):
    while True:
        data, addr = sock.recvfrom(4096)
        file_data = deserialize_file_data(data)
        yield file_data

7. Putting it all together:

if __name__ == "__main__":
    file_path = "large_file.txt"
    host, port = "127.0.0.1", 12345
    sock = create_udp_socket(host, port)
    send_file(sock, file_path, host, port)

On the receiving side, you will need to collect all the received file data and save it to a file.

To connect your router to a proxy server, follow these steps:

1. Access router admin interface (usually 192.168.1.1)
2. Log in with default or custom credentials
3. Navigate to LAN/Network settings
4. Find and open Proxy Server settings
5. Enter proxy server type, IP, port, and authentication if needed
6. Save and apply changes
7. Update device proxy settings to use router's proxy server

Technically, ISP can block only some intermediary servers by IP-addresses. But it's impossible to block absolutely all VPN-servers, because there are so many of them and their addresses are constantly changing. Accordingly, in this case, you just need to use another VPN-server.