Python实现国外赌场热门游戏Craps(双骰子)
运行方法:
1. 打开python2 IDLE;
2. 输入 from craps import *
3. 按提示输入运行命令。例如,玩游戏就输入play();查看余额就输入check_bankroll();
自动玩看胜率就输入auto()
craps.py
import random point_set = False bet = 10 bankroll = 1000 sim_win = 0 sim_lose = 0 print """ Welcome to the 'Seven Star' casino! You are playing craps now, your started bankroll is '$1000', the started bet is '$10', command: play(): "Rolling the dices" check_bankroll(): "Checking your current balance" all_in(): Showing "hand" set_bet(): "Setting a new bet" game(): "Check your game status" auto(): "It can be played automatically for you until reach a specific bankroll" """ def roll(): d1 = random.randrange(1,7) d2 = random.randrange(1,7) print "You rolled", d1, "+", d2, "=", d1+d2 return d1 + d2 def play(): global point_set, bankroll, point global sim_win, sim_lose if bankroll < bet: print "Sorry, you can't play since you don't have enough money!" print """Do you wanna get more money? 1: Yes 2: No """ choice = raw_input(">>") if choice == str(1): money = raw_input("How much do you wanna get?") bankroll += int(money) print "Your current bankroll is: ", bankroll if choice == str(2): print "Thanks for playing! See you next time!" else: if not point_set: print print "New game. Your bet is: ", bet # for the first roll r = roll() if not point_set: if r in (7, 11): bankroll += bet sim_win += 1 print "Congratz! You Won! Your bankroll is: ", bankroll elif r in (2, 3, 12): bankroll -= bet sim_lose += 1 print "Oops! You lost! Your bankroll is: ", bankroll else: point = r point_set = True print "Your point is", "[", point, "]" # for subsequence rolls elif r == 7: bankroll -= bet sim_lose += 1 point_set = False print "You crapped out! Your bankroll is: ", bankroll elif r == point: bankroll += bet sim_win += 1 point_set = False print "You made your point! Your bankroll is: ", bankroll def set_bet(inp): global bet, bankroll, point_set print if point_set: print "WARNING!" print "The game has started, you will lose half of your bet if resetting your bet!" prompt = raw_input(""" 1: Yes, I am wanna reset my bet! 2: No, I don't wanna reset my bet! """) if prompt == "1": point_set = False bankroll -= bet/2 print "Forfeiting current bet. Your bankroll is: ", bankroll else: pass bet = int(inp) print "New bet size is: ", bet def all_in(): set_bet(bankroll) def check_bankroll(): global bet print "Your current balance is: ", bankroll def game(): total = sim_win + sim_lose percent = float(sim_win)/total * 100 print "So far, the games that you have been playing are: ", total print "Won ", sim_win print "Lost ", sim_lose print "Overall, you have %d%% to win!" %percent def auto(): game_status = True purpose = raw_input("How much are you gonna reach? ") while game_status: play() if bankroll == int(purpose) or bankroll == 0: game_status = False game()
以上所述就是本文的全部内容了,希望能够对大家学习Python有所帮助。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



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.

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

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:

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.

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.

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

MinIO Object Storage: High-performance deployment under CentOS system MinIO is a high-performance, distributed object storage system developed based on the Go language, compatible with AmazonS3. It supports a variety of client languages, including Java, Python, JavaScript, and Go. This article will briefly introduce the installation and compatibility of MinIO on CentOS systems. CentOS version compatibility MinIO has been verified on multiple CentOS versions, including but not limited to: CentOS7.9: Provides a complete installation guide covering cluster configuration, environment preparation, configuration file settings, disk partitioning, and MinI

PyTorch distributed training on CentOS system requires the following steps: PyTorch installation: The premise is that Python and pip are installed in CentOS system. Depending on your CUDA version, get the appropriate installation command from the PyTorch official website. For CPU-only training, you can use the following command: pipinstalltorchtorchvisiontorchaudio If you need GPU support, make sure that the corresponding version of CUDA and cuDNN are installed and use the corresponding PyTorch version for installation. Distributed environment configuration: Distributed training usually requires multiple machines or single-machine multiple GPUs. Place
