1 / 15

Ball

Ball. Basic Athletic Logic Language. T he T eam. Cipta Herwana - Project Manager Daniel Lasry - Language Guru Nathan Miller - System Architect Sam Lee - System Integrator Jordan Schau - Tester and Validator. W hat i s Ball?.

jase
Download Presentation

Ball

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Ball • Basic Athletic Logic Language

  2. The Team • Cipta Herwana - Project Manager • Daniel Lasry - Language Guru • Nathan Miller - System Architect • Sam Lee - System Integrator • Jordan Schau - Tester and Validator

  3. What is Ball? • Ball is a language designed to facilitate the simulation of Baseball games for the layman. • Ball is an imperative and interpreted programming language. • Ball is built on the efficiencies and powerful toolset of Java.

  4. Baseball Fans Baseball Managers Little League Parents Sports Bettors Who can use Ball

  5. Objective • Create our own custom Simulation functions with ease.Streamline the process. • Omit obfuscating details: • Scoping • Strong Typing • Irrelevant Declarations

  6. simfunction simpleSim is: if(team1’s W> team2’s W)then: return team1; else: return team2; end end activate simpleSim; sim(Dodgers,Yankees,5); Custom Simulations • Create a simulation function. • Activate! • Call sim(team1, team2, times)

  7. stat bWalk =BB/PA; stat bSingle =(Hits-(2B+3B+HR)) / PA; stat bDouble =2B/PA; stat bTriple =3B/PA; stat bHR =HR/PA; team Dodgers = load("dodgers.team"); player Manny="Manny Ramirez"fromDodgers; printManny’s bHR; list 300hitters=Dodgerswhere(avg >.300); Streamlined Process • Straightforward loading and management of teams. • Simple stat declaration and manipulation. • Easy filtering, sorting and selecting from teams.

  8. print"play ball"; number anInteger =5; number aDecimal =2.34; list aList =[team1,team2, team3]; list aList =[3,4, 5]; function setProb() returns nothing:   probWalk = 2;   probSingle = 3;   probDouble = 4; end Ease of Programming • Scope: • Functions declared anywhere in the body can be called anywhere! • Users do not need to understand scopes. • Typing: • ‘number’ covers integers and decimals. • ‘list, ‘player’ and ‘team’ types. • Irrelevant Declarations: • No need to declare a main class and function. • Simple loops and conditionals

  9. TOOLS USED • Byacc/J • Google Code • Subversion • JFlex • Ubuntu • Eclipse

  10. Compiler Structure Syntax Tree Compiler Front-end Program Parser Expression Declaration Runtime Classes Print Jump Conditional Symbol Table Lexer Java Source J V M Source Program Java Compiler

  11. Example Program • simfunction simpleSim is: • if(team1’s W > team2’s W)then: • return team1; • else: • return team2; • end • end • activate simpleSim;//activates the simpleSim function • team Indians= load(“Indians.team”); • team Orioles= load(“Orioles.team”); • print"Winner: "+ sim(Indians,Orioles,1);

  12. Testing • Test Driven Development • White Box Testing • Regression Testing • Unit Testing • Accuracy Testing • Real Results vs Predicted Results

  13. Why BALL? Simple Lightweight Accurate Fun :) Conclusion

  14. Complex Simulation • /*Set the global probabilities of this inning*/ •     combineProb(batter, pitcher); • randomizeProbabilities(); •     team1Score += probWalk*(1/4)+ probSingle*(1/4)+ probDouble*(2/4)+ probTriple*(3/4)+ probHR; • end • /*NOW, team2 is batting and team1 is pitching! (5 times)*/ • do5 times: •     list bestBatters2 = top(9, team2 where(type is"batter"), AVG); •     player batter = any bestBatters2; •     list bestPitchers2 = bottom(4, team1 where(type is"pitcher"), ERA); •     player pitcher = any bestPitchers2; •     player batter = any team2 where(type is"batter"and AVG is top 5); •     player pitcher = any team1 where(type is"pitcher"and ERA is lowest 5); •     combineProb(batter, pitcher); •     randomizeProbabilities(); •     team2Score += probWalk*(1/4)+ probSingle*(1/4)+ probDouble*(2/4)+ probTriple*(3/4)+ probHR; • end • if(team1Score > team2Score)then: • print"Team "+ team1’s name +" wins against team "+ team2’s name +"!!"; • return team1; • else: • print"Team "+ team2’s name +" wins against team "+ team1’s name +"!!"; • return team2; • end • end • /*END BASIC SIMULATION FUNCTION*/ stat bWalk = BB / PA; stat bSingle =(Hits-(2B+3B+ HR))/ PA; stat bDouble =2B/ PA; stat bTriple =3B/ PA; stat bHR = HR / PA; /*Pitcher probabilities*/ stat pWalk = BB / BF; stat pSingle =(Hits/ BF)- pHR - pTriple - pDouble; stat pDouble =Hits x .174/ BF; stat pTriple =Hits x .024/ BF; stat pHR = HR / BF; /***END STATS DEFINITION***/ /*****************************************************/ /*Global variables that hold combined probabilities given a pitcher and a batter*/ number probWalk =0; number probSingle =0; number probDouble =0; number probTriple =0; number probHR =0; simfunction basicSimulation is:   number team1Score =0;   number team2Score =0; do5 times: /*Select random players from the best 5 of each team*/     list bestBatters = top(9, team1 where(type is"batter"), AVG);     player batter = any bestBatters;     list bestPitchers = bottom(4, team2 where(type is"pitcher"), ERA);     player pitcher = any bestPitchers;

More Related