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| author | Benjamin J. Culkin <bjculkin@mix.wvu.edu> | 2018-05-29 15:44:57 -0300 |
|---|---|---|
| committer | Benjamin J. Culkin <bjculkin@mix.wvu.edu> | 2018-05-29 15:44:57 -0300 |
| commit | 03b9ed1601acfe323dc9b5360b8f2c2c972c8e04 (patch) | |
| tree | 72e33eec337b386e6d536f128da03a9d4f2f12fe /RGens/REPORT.md | |
| parent | d22367abbb07f020dfb387032e9b72a040a170f5 (diff) | |
| parent | 0faa5175b6f0de8835ed514615ac64135f406b29 (diff) | |
Merge branch 'working'
Diffstat (limited to 'RGens/REPORT.md')
| -rwxr-xr-x | RGens/REPORT.md | 34 |
1 files changed, 0 insertions, 34 deletions
diff --git a/RGens/REPORT.md b/RGens/REPORT.md deleted file mode 100755 index d1c1a7e..0000000 --- a/RGens/REPORT.md +++ /dev/null @@ -1,34 +0,0 @@ -# Benjamin Culkin -2015-12-08 ----------------- - -Assignment #11 Report ------------------------- -The program here is a slightly adapted version of a random string generator, -which is itself based off of an example in the book "Multi-paradigm Programming with Leda". -The easiest way to run it is launch the attached jar-file through the command file, -then choose the attached .gram file as input, pick the initial rule as <item> from the drop-down -list and enter any number. It will first print out the rules three times, once before it adds some -dummy rules to delete, once after the dummy rules have been added, and a third after the dummy -rules has been deleted. It will then generate text based off of the input. - -Collection Details -------------------- -The project involves the use of multiple collections, but the main one is the Hashtable inside of -WeightedGrammar that holds the rules and the cases that belong to them. This is very similiar -to the HashMap except for some concurrency things that aren't particularly relevant in this -situation. The basic functionality is simply to look up objects by a key. - -This collection has the potential to be useful for a phonebook of some kind, -where you want to look up people by their phone numbers, or phone numbers by the name. - -Resources ------------ -The application itself was based heavily off of an example in the above mentioned book, while -the data for the input file came from a copy of "Diablo II: The Awakening" and its random item -generation tables. - -Source Files -------------- -The source file of the main runnable application is the GrammarReaderApp class in bjc.RGens.text, -while the main class that uses the collection is WeightedGrammar in bjc.utils.gen
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