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LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX LISP on T EX Comparison A LISP Interpreter Written Using T EX Macros Conclusion HAKUTA Shizuya The 34th Annual Meeting of the TeX Users Group, 2013 Background LISP on T EX


  1. LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX LISP on T EX Comparison A LISP Interpreter Written Using T EX Macros Conclusion HAKUTA Shizuya The 34th Annual Meeting of the TeX Users Group, 2013

  2. Background LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX Writing T EX macros is useful. Comparison e.g. Calculating some small numeric expressions. Conclusion However, it is difficult for novice users. To improve, there are some researches that combine T EX and another programming language.

  3. T EX with Other Languages LISP on T EX S. HAKUTA Pakin[TUGboat ’03] showed four way to connect T EX and a Introduction foreign programing language; Goal and Mean LISP on TeX 1 using \write18 to call an outer processor, Comparison python package (CTAN:macros/latex/contrib/python) Conclusion 2 embedding an interpreter in a T EX engine, LuaT EX (CTAN:systems/luatex) 3 constructing macros that enable L A T EX to communicate with an external interpreter, PerlT EX (CTAN:macros/latex/conrtib/perltex) 4 creating a language processor with T EX macros L A T EX3 project created expl3: a new interface of T EX macros, but no ordinary language was implemented.

  4. The Goal and the Mean LISP on T EX S. HAKUTA Introduction Goal and Mean Our goals are LISP on TeX Comparison Implementing a language’s interpreter with T EX macros, and Conclusion Comparing its performance with other approaches. We take two design choices; 1 Choosing LISP as a ordinary language, and 2 Creating the product as a LaTeX package.

  5. LISP on T EX LISP on T EX S. HAKUTA Introduction We name the our product LISP on T EX. Goal and Mean LISP on TeX It was already archived on CTAN and T EXLive. Comparison macros/latex/contrib/lisp-on-tex Conclusion We constructed all parts of LISP on T EX with T EX macros; parser, recognizing LISP expressions, evaluator, calculating a expression, and environment, mapping symbols to LISP objects. The code is written with traditional TeX macros only, so it works in all L A T EX engines, L A T EX, pdfL A T EX, LuaL A T EX, XeL A T EX, pL A T EX, . . .

  6. Examples (1/2) LISP on T EX Source S. HAKUTA The Preamble of the Slides Introduction \usepackage{lisp-on-tex} Goal and Mean LISP on TeX \lispinterp{ Comparison (\define \fact Conclusion (\lambda (\n) (\lispif (\= \n :0) :1 (\* (\fact (\- \n :1)) \n))))} Result $10!=\lispinterp{(\texprint(\fact:10))}$

  7. Examples (1/2) LISP on T EX Source S. HAKUTA The Preamble of the Slides Introduction \usepackage{lisp-on-tex} Goal and Mean LISP on TeX \lispinterp{ Comparison (\define \fact Conclusion (\lambda (\n) (\lispif (\= \n :0) :1 (\* (\fact (\- \n :1)) \n))))} Result 10 ! = 3628800

  8. Examples (1/2) LISP on T EX Source S. HAKUTA The Preamble of the Slides Introduction \usepackage{lisp-on-tex} Goal and Mean LISP on TeX \lispinterp{ Comparison (\define \fact Conclusion (\lambda (\n) (\lispif (\= \n :0) :1 (\* (\fact (\- \n :1)) \n))))} Result 10 ! = 3628800 LISP codes were evaluated!

  9. Examples (2/2) LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX Comparison Conclusion

  10. Examples (2/2) LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX Comparison Conclusion

  11. Memory Management Problems LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX LISP on T EX uses a lot of memory. Comparison Yato showed that LISP on T EX stalls when using a lot of LISP Conclusion objects 1 . It is caused by spending a lot of control sequences. Building a garbage collection system is one of our future work. 1 http://d.hatena.ne.jp/zrbabbler/20121116/1353068217 (Japanese Only)

  12. Comparison to other approaches LISP on T EX S. HAKUTA We compared LISP on T EX and other approaches by three benchmarks. Introduction Goal and Mean CPU Core i7 2.2GHz, 8GByte Memory, W32TeX LISP on TeX Comparison tarai[sec] asterisks[sec] Mandelbrot[sec] Conclusion 1 . 6 × 10 2 2 . 1 × 10 4 LISP on T EX 13 1 . 6 × 10 2 PerlT EX 1.0 1.0 LuaT EX 0.45 0.55 7.6 1 . 2 × 10 2 T EX macros 0.24 0.22 5 . 7 × 10 3 expl3 1.1 1.0 It shows that LISP on T EX is too slow... :-( It is caused by reading T EX tokens repeatedly. ⇒ We can make LISP on T EX faster with improving the code.

  13. Conclusion LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX Comparison We implemented LISP on T EX, a LISP interpreter written only Conclusion with T EX macros. It works well, but the product has problems about memory usage and speed.

  14. Why LISP is Selected? LISP on T EX S. HAKUTA Introduction Goal and Mean LISP on TeX Comparison There are two reasons why we select LISP . Conclusion 1 LISP is Turing complete, so it contains all essence of programming languages. 2 Because LISP has simple syntax and semantics, we can implement LISP easily.

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