Home Backend Development Python Tutorial 使用Python脚本生成随机IP的简单方法

使用Python脚本生成随机IP的简单方法

Jun 10, 2016 pm 03:08 PM
ip python


需求

在某应用中,需要根据一定的规则生成随机的IP地址,规则类似于192.168.11.0/24这样的CIDR形式给出。
实现

经过艰苦卓绝的调试,下面的代码是可以用的:

RANDOM_IP_POOL=['192.168.10.222/0']
def __get_random_ip():
  str_ip = RANDOM_IP_POOL[random.randint(0,len(RANDOM_IP_POOL) - 1)]
  str_ip_addr = str_ip.split('/')[0]
  str_ip_mask = str_ip.split('/')[1]
  ip_addr = struct.unpack('>I',socket.inet_aton(str_ip_addr))[0]
  mask = 0x0
  for i in range(31, 31 - int(str_ip_mask), -1):
    mask = mask | ( 1 << i)
  ip_addr_min = ip_addr & (mask & 0xffffffff)
  ip_addr_max = ip_addr | (~mask & 0xffffffff)
  return socket.inet_ntoa(struct.pack('>I', random.randint(ip_addr_min, ip_addr_max)))

Copy after login

生成的结果如:

 192.168.10.175  192.168.10.29  
 192.168.10.30  192.168.10.207 
 192.168.10.248  192.168.10.145 
 192.168.10.168  192.168.10.223 
 192.168.10.66  192.168.10.138 
 192.168.10.99  192.168.10.136 
 192.168.10.147  192.168.10.244 
 192.168.10.73  192.168.10.180 

Copy after login

备注

(mask & 0xffffffff)这一用法,目的在于消除mask上32位以上的高位数据。由于mask是IPv4的掩码,所以不需要32位以上的数据。这一问题在mask取反之后比较明显。由于mask是一个32位以上的数(有可能是64位),取反之后,高位全部为1,计算的结果就不正确了。因此,在使用之前,需要利用(mask & 0xffffffff)清除高位。

供各位读者参考。

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

How to train PyTorch model on CentOS How to train PyTorch model on CentOS Apr 14, 2025 pm 03:03 PM

Efficient training of PyTorch models on CentOS systems requires steps, and this article will provide detailed guides. 1. Environment preparation: Python and dependency installation: CentOS system usually preinstalls Python, but the version may be older. It is recommended to use yum or dnf to install Python 3 and upgrade pip: sudoyumupdatepython3 (or sudodnfupdatepython3), pip3install--upgradepip. CUDA and cuDNN (GPU acceleration): If you use NVIDIAGPU, you need to install CUDATool

How is the GPU support for PyTorch on CentOS How is the GPU support for PyTorch on CentOS Apr 14, 2025 pm 06:48 PM

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

Python vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

How to choose the PyTorch version under CentOS How to choose the PyTorch version under CentOS Apr 14, 2025 pm 02:51 PM

When selecting a PyTorch version under CentOS, the following key factors need to be considered: 1. CUDA version compatibility GPU support: If you have NVIDIA GPU and want to utilize GPU acceleration, you need to choose PyTorch that supports the corresponding CUDA version. You can view the CUDA version supported by running the nvidia-smi command. CPU version: If you don't have a GPU or don't want to use a GPU, you can choose a CPU version of PyTorch. 2. Python version PyTorch

How to install nginx in centos How to install nginx in centos Apr 14, 2025 pm 08:06 PM

CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.

How to do data preprocessing with PyTorch on CentOS How to do data preprocessing with PyTorch on CentOS Apr 14, 2025 pm 02:15 PM

Efficiently process PyTorch data on CentOS system, the following steps are required: Dependency installation: First update the system and install Python3 and pip: sudoyumupdate-ysudoyuminstallpython3-ysudoyuminstallpython3-pip-y Then, download and install CUDAToolkit and cuDNN from the NVIDIA official website according to your CentOS version and GPU model. Virtual environment configuration (recommended): Use conda to create and activate a new virtual environment, for example: condacreate-n

See all articles