| # Text-to-Object-Name | |
| * Text-to-Object-Name (T2ON) is a set of algorithms that converts a file to the set of a certain number of words, and a word frequency counter. It does not breason out words. | |
| * To breason out words, one needs to finish an Education short course and read the instructions in <a href="https://github.com/luciangreen/Text-to-Object-Name/blob/main/Instructions_for_Breasoning.txt">Instructions_for_Breasoning.txt</a>. | |
| * Generally, 80 word breasonings are needed to earn a high distinction at undergraduate level and below, have healthy children or sell products. This increases to 2 * 15 * 80=2400 breasonings per Honours level chapter, approximately 2 * 50 * 80=8000 breasonings per Masters level assignment and approximately 2 * 4 * 50 * 80=32,000 breasonings per PhD level assignment. | |
| * 50 As (50 * 80=4000 breasonings) are required to earn a job. | |
| # Getting Started | |
| Please read the following instructions on how to install the project on your computer for preparing for breasoning. | |
| # Prerequisites | |
| * Please download and install SWI-Prolog for your machine at `https://www.swi-prolog.org/build/`. | |
| # 1. Install manually | |
| Download <a href="http://github.com/luciangreen/Text-to-Object-Name/">this repository</a>, <a href="http://github.com/luciangreen/Text-to-Breasonings/">Text to Breasonings repository</a>, the <a href="http://github.com/luciangreen/Lucian-Academy-Data/">Lucian Academy Data repository</a>, and the <a href="https://github.com/luciangreen/listprologinterpreter">List Prolog Interpreter Repository</a>. | |
| # 2. Or Install from List Prolog Package Manager (LPPM) | |
| * Download the <a href="https://github.com/luciangreen/List-Prolog-Package-Manager">LPPM Repository</a>: | |
| ``` | |
| mkdir GitHub | |
| cd GitHub/ | |
| git clone https://github.com/luciangreen/List-Prolog-Package-Manager.git | |
| cd List-Prolog-Package-Manager | |
| swipl | |
| ['lppm']. | |
| lppm_install("luciangreen","Text-to-Object-Name"). | |
| halt | |
| ``` | |
| # Running | |
| * In Shell: | |
| `cd Text-to-Object-Name` | |
| `swipl` | |
| * Enter: | |
| `['text_to_object_name.pl'].` | |
| * In the SWI-Prolog environment, enter: | |
| `t2on(N,File,String,M).` | |
| where N is the number of times to output the file, File is the file name, String is the string to output and M is the number of words in the file to output, e.g.: | |
| * `t2on(u,"file.txt",u,u).` or `t2on(u,u,u,u).` | |
| Outputs file.txt. | |
| * `t2on(2,"file.txt",u,u).` | |
| Outputs file.txt twice. | |
| * `t2on(u,u,"Hello world.",u).` | |
| Breason out "Hello world.". | |
| * `t2on(3,u,"a b c",2).` | |
| Outputs the first two words in "a b c" ("a" and "b") 3 times. | |
| # Reading Algorithm | |
| * The algorithm often runs too quickly. To notice a number of words ("read them") in unread texts, where Master=6 algorithms, PhD=~16 algorithms and professor/politician=~50 algorithms, run with: | |
| ``` | |
| `['text_to_object_name.pl'].` | |
| W is 50*4,t2on(u,u,u,u,W). | |
| % where W is the number of words to read | |
| % 50 is the number of algorithms, | |
| % and there are approximately 4 words per algorithm. | |
| ``` | |
| # Authors | |
| Lucian Green - Initial programmer - <a href="https://www.lucianacademy.com/">Lucian Academy</a> | |
| # License | |
| I licensed this project under the BSD3 License - see the LICENSE.md file for details | |