dice

Dice Sum Probability with Different types of Dice

偶尔善良 提交于 2021-01-27 14:50:45
问题 I am currently working on a java application where I need to calculate the probabilities of rolling each sum for a variety of dice. The dice types I am supporting are d4 (4 sided dice), d6 (6 sided dice), d8 (8 sided dice), d10, d12, and d20. The user will be able to input the number of each type of dice they want to use in the calculation. For example, a user may enter 6 d6 and 4 d4. With this given information (the number of dice of each type), I am looking to calculate the probability that

Parsing dice expressions (e.g. 3d6+5) in C#: where to start?

醉酒当歌 提交于 2020-07-31 08:30:10
问题 So I want to be able to parse, and evaluate, "dice expressions" in C#. A dice expression is defined like so: <expr> := <expr> + <expr> | <expr> - <expr> | [<number>]d(<number>|%) | <number> <number> := positive integer So e.g. d6+20-2d3 would be allowed, and should evaluate as rand.Next(1, 7) + 20 - (rand.Next(1, 4) + rand.Next(1, 4)) Also d% should be equivalent to d100 . I know I could hack together some solution, but I also know that this seems like a very typical computer-science type

模拟掷骰子(Python)

只谈情不闲聊 提交于 2020-03-07 02:35:36
模拟掷骰子实际是抽取(1~6之间的)随机数问题,涉及random模块,后面版本的数据可视化主要应用matplotlib.pyplot模块。 1.0:模拟一个骰子的结果。首先定义roll_dice()函数,从1~6之间随机抽取一个整数作为掷骰子的结果。在主函数中定义一个长度为6的列表(初始值为0),记录每个点出现的次数。每次掷完骰子都进行判断,掷出的点数在对应的列表位置上的元素加1。enumerate()函数将列表索引与对应的元素一一对应起来。 """ 模拟掷骰子 1.0:输出结果为掷骰子的频数与频率 """ import random def roll_dice(): """ 模拟掷骰子 :return: 返回一个1-6之间的随机数 """ roll = random.randint(1,6) return roll def main(): Times = 10000 result_list = [0] * 6 for i in range(Times): roll = roll_dice() for j in range(1,7): if roll == j: result_list[j-1] += 1 for k,result in enumerate(result_list): print ("掷得数字{},次数为{},频率为{}".format(k+1,result

Stats 102A Monopoly

跟風遠走 提交于 2020-02-19 20:48:07
Stats 102A - Homework 4 Instructions: Monopoly Homework questions and instructions copyright Miles Chen, Do not post, share, or distribute without permission. Homework 4 Requirements You will submit three files. The files you submit will be: 1. 102a_hw_04_script_First_Last.R Your R script file containing the functions you write for the homework assignment. Write comments as necessary. 2. 102a_hw_04_output_First_Last.Rmd Take the provided R Markdown file and make the necessary edits so that it generates the requested output. The first line of your .Rmd file should be to source the R script file

语义分割常用指标(mIOU,Dice coefficient)

狂风中的少年 提交于 2020-02-16 14:29:40
语义分割mIOU定义如下: 其中p_ij表示真实值为i,被预测为j的像素数量,等价于 其中TP(t)表示以为阈值的情况下预测为正样本,实际上也为正样本的数量。 Dice coefficient定义如下: 其中X为预测像素,Y为groud truth,实际上,这和mIOU的定义差不多,仔细分析即可知道这个Dice等价于 TP/(TP+FP+FN+TN) 来源: CSDN 作者: 小伟db 链接: https://blog.csdn.net/qq_35985044/article/details/104341058

SP1026 FAVDICE - Favorite Dice

爷,独闯天下 提交于 2020-01-30 18:19:39
题目描述 BuggyD loves to carry his favorite die around. Perhaps you wonder why it's his favorite? Well, his die is magical and can be transformed into an N-sided unbiased die with the push of a button. Now BuggyD wants to learn more about his die, so he raises a question: What is the expected number of throws of his die while it has N sides so that each number is rolled at least once? 输入格式 The first line of the input contains an integer t, the number of test cases. t test cases follow. Each test case consists of a single line containing a single integer N (1 <= N <= 1000) - the number of sides on

Favorite Dice (SPOJ-FAVDICE)期望DP

吃可爱长大的小学妹 提交于 2020-01-19 15:30:33
BuggyD loves to carry his favorite die around. Perhaps you wonder why it's his favorite? Well, his die is magical and can be transformed into an N-sided unbiased die with the push of a button. Now BuggyD wants to learn more about his die, so he raises a question: What is the expected number of throws of his die while it has N sides so that each number is rolled at least once? Input The first line of the input contains an integer t , the number of test cases. t test cases follow. Each test case consists of a single line containing a single integer N (1 <= N <= 1000) - the number of sides on