With Genetic Algorithms (GAs) you can solve following problems:
In a sense GAs are a marriage of brute force algorithm and evolution theory.
Pseudo algorithm
| # http://wiki.apache.org/solr/FAQ#How_can_I_delete_all_documents_from_my_index.3F | |
| # http://wiki.apache.org/solr/UpdateXmlMessages#Updating_a_Data_Record_via_curl | |
| curl http://index.websolr.com/solr/a0b1c2d3/update -H "Content-Type: text/xml" --data-binary '<delete><query>*:*</query></delete>' |
| = Considerations and Trade offs | |
| == What can you afford to lose? | |
| A "soft" point-in-time recovery requirement means you’d like to be able to recreate your data so that it’s "close enough" | |
| to where it was when the problem happened. A "hard" requirement means | |
| you can never tolerate the loss of a committed transaction, even if something terrible | |
| happens (such as the server catching fire). This requires special techniques, such as | |
| keeping your binary log on a separate SAN volume or using DRBD disk replication. | |
| ... | |
| Don’t consider a backup (especially a raw backup) to be good until you’ve tested it. |
| # To change this template, choose Tools | Templates | |
| # and open the template in the editor. | |
| from random import uniform | |
| import functools | |
| import math | |
| def calc_fitness(individ): | |
| etalon = 500 | |
| return math.fabs( etalon - individ ) |
| // Migrations | |
| yiic migrate create create_news_table | |
| ... | |
| $this->createTable('tbl_news', array( | |
| 'id' => 'pk', | |
| 'title' => 'string NOT NULL', | |
| 'content' => 'text', | |
| )); | |
| ... | |
| $this->dropTable('tbl_news'); |
| # start varnish using /etc/varnish/default.vcl as config file | |
| # allocate 1GB of memory | |
| # administrative panel can be accessed at 127.0.0.1:2000 | |
| # bind it to 8008 port | |
| sudo varnishd -f /etc/varnish/default.vcl -s malloc,1G -T 127.0.0.1:2000 -a 0.0.0.0:8008 |
| #!/bin/bash | |
| /bin/echo `date` $* | tee -a logbook.log | |
| /bin/echo >> logbook.log |
| canvas = document.createElement("canvas"), | |
| ctx = canvas.getContext("2d"); | |
| canvas.className = "myClass"; | |
| canvas.id = "myId"; | |
| canvas.width = image.width; | |
| canvas.height = image.height; | |
| ctx.drawImage(image, 0, 0); | |
| pixelData = ctx.getImageData(0, 0, image.width, image.height); |
| def foo(x, y=10, **kwargs): | |
| # dictionaries | |
| dict = {'a':1, 'b':23, 'c':'eggs'} | |
| del dict['b'] | |
| dict.has_key('e') | |
| # list comprehension | |
| [x for x in range(5) if x%2 == 0] | |
| # exception |
| def match! battle, winner, loser | |
| r_a = winner.rating | |
| r_b = loser.rating | |
| max = battle.max.to_i | |
| min = battle.min.to_i | |
| th = ( max - min ) / 2 | |
| e_a = 1.0 / ( 1 + 10 ** ( (r_b - r_a) / 400 )) | |
| e_b = 1.0 / ( 1 + 10 ** ( (r_a - r_b) / 400 )) |