random

How to randomize a list to meet conditions

由 [亡魂溺海] 提交于 2020-02-02 14:52:51
问题 I would like to generate n randomized versions of a list such that with each randomization the ordering is different from the one before and also each element must have a different position than in the list before. I have generated a list of all possible permutations of the list but I am stuck on how to select the sub-lists that match my conditions. I am thinking maybe a list comprehension could work but not sure how to complete it. # constraints: n <= 12 lst = ['John', 'William', 'Michael',

How to randomize a list to meet conditions

由 ≯℡__Kan透↙ 提交于 2020-02-02 14:52:08
问题 I would like to generate n randomized versions of a list such that with each randomization the ordering is different from the one before and also each element must have a different position than in the list before. I have generated a list of all possible permutations of the list but I am stuck on how to select the sub-lists that match my conditions. I am thinking maybe a list comprehension could work but not sure how to complete it. # constraints: n <= 12 lst = ['John', 'William', 'Michael',

How to randomize a list to meet conditions

由 一曲冷凌霜 提交于 2020-02-02 14:51:10
问题 I would like to generate n randomized versions of a list such that with each randomization the ordering is different from the one before and also each element must have a different position than in the list before. I have generated a list of all possible permutations of the list but I am stuck on how to select the sub-lists that match my conditions. I am thinking maybe a list comprehension could work but not sure how to complete it. # constraints: n <= 12 lst = ['John', 'William', 'Michael',

How to randomize a list to meet conditions

由 本小妞迷上赌 提交于 2020-02-02 14:51:04
问题 I would like to generate n randomized versions of a list such that with each randomization the ordering is different from the one before and also each element must have a different position than in the list before. I have generated a list of all possible permutations of the list but I am stuck on how to select the sub-lists that match my conditions. I am thinking maybe a list comprehension could work but not sure how to complete it. # constraints: n <= 12 lst = ['John', 'William', 'Michael',

100道关于numpy的练习

由 ↘锁芯ラ 提交于 2020-02-02 13:32:27
声明：并非原创，转自 https://github.com/rougier/numpy-100 This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercices for those who teach. If you find an error or think you've a better way to solve some of them, feel free to open an issue at https://github.com/rougier/numpy-100 1. Import the numpy package under the name np (★☆☆) import numpy as np 2. Print the numpy version and the configuration (★☆☆) print

Get random key:value pairs from dictionary in python

由 筅森魡賤 提交于 2020-02-02 06:04:50
问题 I'm trying to pull out a random set of key-value pairs from a dictionary I made from a csv file. The dictionary contains information for genes, with the gene name being the dictionary key, and a list of numbers (related to gene expression etc.) being the value. # python 2.7.5 import csv import random genes_csv = csv.reader(open('genes.csv', 'rb')) genes_dict = {} for row in genes_csv: genes_dict[row[0]] = row[1:] length = raw_input('How many genes do you want? ') for key in genes_dict: random

Get random key:value pairs from dictionary in python

由 若如初见. 提交于 2020-02-02 06:04:38
问题 I'm trying to pull out a random set of key-value pairs from a dictionary I made from a csv file. The dictionary contains information for genes, with the gene name being the dictionary key, and a list of numbers (related to gene expression etc.) being the value. # python 2.7.5 import csv import random genes_csv = csv.reader(open('genes.csv', 'rb')) genes_dict = {} for row in genes_csv: genes_dict[row[0]] = row[1:] length = raw_input('How many genes do you want? ') for key in genes_dict: random

生成随机密码

由 牧云@^-^@ 提交于 2020-02-01 13:09:59
[root@localhost ~]# echo $RANDOM | md5sum | cut -c 1-8 a96b3a66 (截取8位数的密码) [root@localhost ~]# echo $RANDOM | openssl passwd -1 -stdin $1$PDPWCSMF$PDPEKZ5af7MRuIfNSff2N0 (对标准输入的密码用md5sum进行加密，-1表示md5) 来源： https://www.cnblogs.com/liujunjun/p/12248100.html

How should I use random.jumpahead in Python

由 送分小仙女□ 提交于 2020-02-01 05:07:45
问题 I have a application that does a certain experiment 1000 times (multi-threaded, so that multiple experiments are done at the same time). Every experiment needs appr. 50.000 random.random() calls. What is the best approach to get this really random. I could copy a random object to every experiment and do than a jumpahead of 50.000 * expid. The documentation suggests that jumpahead(1) already scrambles the state, but is that really true? Or is there another way to do this in 'the best way'? (No

Will this give me proper random numbers based on these probabilities? C++

由 牧云@^-^@ 提交于 2020-02-01 04:25:06
问题 Code: int random = (rand() % 7 + 1) if (random == 1) { } // num 1 else if (random == 2) { } // num 2 else if (random == 3 || random == 4) { } // num 3 else if (random == 5 || random == 6) { } // num 4 else if (random == 7) { } // num 5 Basically I want each of these numbers with each of these probabilities: 1: 1/7 2: 1/7 3: 2/7 4: 2/7 5: 1/7 Will this code give me proper results? I.e. if this is run infinite times, will I get the proper frequencies? Is there a less-lengthy way of doing this?
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