IP | Country | PORT | ADDED |
---|---|---|---|
23.247.136.254 | sg | 80 | 34 minutes ago |
189.202.188.149 | mx | 80 | 34 minutes ago |
128.140.113.110 | de | 8081 | 34 minutes ago |
158.255.77.169 | ae | 80 | 34 minutes ago |
93.171.157.249 | ru | 8080 | 34 minutes ago |
83.1.176.118 | pl | 80 | 34 minutes ago |
194.219.134.234 | gr | 80 | 34 minutes ago |
49.207.36.81 | in | 80 | 34 minutes ago |
83.168.75.202 | pl | 8081 | 34 minutes ago |
81.177.224.173 | ru | 1337 | 34 minutes ago |
62.99.138.162 | at | 80 | 34 minutes ago |
80.120.49.242 | at | 80 | 34 minutes ago |
178.177.54.157 | ru | 8080 | 34 minutes ago |
203.99.240.179 | jp | 80 | 34 minutes ago |
213.157.6.50 | de | 80 | 34 minutes ago |
139.59.1.14 | in | 80 | 34 minutes ago |
170.78.211.161 | mx | 1080 | 34 minutes ago |
91.241.217.58 | ua | 9090 | 34 minutes ago |
39.175.75.144 | cn | 30001 | 34 minutes ago |
185.172.214.112 | ir | 80 | 34 minutes ago |
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Parsing math expressions correctly involves converting mathematical expressions from their human-readable form into a format that a computer can understand and evaluate. A common approach is to use a parser or library designed for mathematical expressions.
In Python, you can use the sympy library, which provides powerful symbolic mathematics capabilities, including expression parsing and evaluation. Here's an example:
from sympy import sympify, symbols
# Define symbols
x, y = symbols('x y')
# Parse math expressions
expression1 = sympify("2*x + 3*y")
expression2 = sympify("sin(x) + cos(x)")
# Evaluate expressions
result1 = expression1.subs({x: 1, y: 2})
result2 = expression2.subs(x, 0)
print("Result 1:", result1)
print("Result 2:", result2)
In this example, sympify is used to parse the mathematical expressions. You can then substitute values for variables using the subs method.
If you need a more general-purpose parser, you can use the pyparsing library. Here's a basic example:
from pyparsing import Word, nums, operatorPrecedence, opAssoc
# Define grammar for basic math expressions
integer = Word(nums).setParseAction(lambda t: int(t[0]))
variable = Word("xy")
operand = integer | variable
expr = operatorPrecedence(
operand,
[
("+", 2, opAssoc.LEFT),
("-", 2, opAssoc.LEFT),
("*", 3, opAssoc.LEFT),
("/", 3, opAssoc.LEFT),
],
)
# Parse math expressions
expression1 = expr.parseString("2*x + 3*y")
expression2 = expr.parseString("sin(x) + cos(x)")
print("Parsed Expression 1:", expression1)
print("Parsed Expression 2:", expression2)
This example uses pyparsing to define a grammar for basic math expressions with addition, subtraction, multiplication, and division. You can customize the grammar based on your specific needs.
Choose the library that best fits your requirements, whether it's for symbolic mathematics (like sympy) or general-purpose expression parsing (like pyparsing). Always consider error handling and validation when working with user-inputted expressions.
A proxy is responsible for forwarding traffic. Technically, it just copies the traffic and sends it to the Internet, but it also replaces various metadata (the type of equipment from which the request is sent, the port number, the IP address, and so on). Or it can be simply called a "mediator" in the computer network.
In simple terms, it is a logically separated part of the main local or public network. It is through it that many users can use a proxy through a single server at the same time. Each connection is allocated to a separate subnet.
If you plan to use a proxy every day, it is recommended to pay attention to paid services. There, the connection is as reliable as possible, with no bandwidth limitations. However, the performance of numerous free proxies is not guaranteed.
It depends on which browser you are using. In Opera, Chrome, Edge a proxy is configured at the level of the operating system itself. In Firefox in the settings there is a special item (in the "Privacy" section).
What else…