#+TITLE: Examples of usage of =dds= #+PROPERTY: header-args:racket :prologue "#lang racket\n(require graph (file \"~/Candies/prj/racket/dds/networks.rkt\") (file \"~/Candies/prj/racket/dds/utils.rkt\"))" * Introduction This document shows some examples of usage of the modules in =dds= with Org-mode. It relies on [[https://github.com/hasu/emacs-ob-racket][emacs-ob-racket]]. The [[intro][following section]] describes how Org-mode can interact with Racket, and how this interaction can be used for a fluid workflow with =dds=. In particular, the code block =munch-table= is [[tabread][defined]] in this section. The subsequent sections show off some the functionalities of the submodules of =dds=. * Org-mode, Racket, and =dds= <> ** Importing a module from file :PROPERTIES: :header-args:racket: :prologue "#lang racket\n(require (file \"~/Candies/prj/racket/dds/networks.rkt\"))" :END: To require the modules from the files of =dds=, you can use the following code (I only reset the prelude here because I set at the top of this file): #+BEGIN_SRC racket :results output :prologue "" #lang racket (require (file "~/Candies/prj/racket/dds/networks.rkt")) (require (file "~/Candies/prj/racket/dds/utils.rkt")) #+END_SRC #+RESULTS: Note that this code will not work with =:results value=. I think it is because in this case the code is not really evaluated at top level. These initialisation lines can be put into the prologue of every code block in a subtree by setting =:prologue= via =:header-args:racket:= in the properties drawer. Check out the properties drawer of this section for an example. Alternatively, this property can be set via a =#+PROPERTY= line at the top the file. For example, this file has such a line. Whenever this property line changes, refresh the setup of the file by hitting =C-c C-c= on the property line. This will update the prologue for all racket code blocks. Finally, you can also set =:prologue= (and other properties with long values) in the following way: #+HEADER: :prologue "#lang racket\n(require (file \"~/Candies/prj/racket/dds/networks.rkt\"))" #+BEGIN_SRC racket :results output drawer (st '((a . 1))) #+END_SRC #+RESULTS: :RESULTS: '#hash((a . 1)) :END: ** Output formats for results of evaluation of code blocks [[https://orgmode.org/manual/Results-of-Evaluation.html#Results-of-Evaluation][This section]] of the Org manual describes various different formats for presenting the results of code blocks. I find the following three particularly useful as of [2020-02-22 Sat]: =output=, =list=, and =table=. The =output= result format is the simplest and the most natural ones. It works as if the code block were inserted into a module which would then be evaluated. #+BEGIN_SRC racket :results output drawer (println "This is the first line of output.") (println (+ 1 2)) (println "This the third line of output.") #+END_SRC #+RESULTS: :RESULTS: "This is the first line of output." 3 "This the third line of output." :END: The =list= result format typesets the result of the last line in the code block as a list: #+BEGIN_SRC racket :results list '(1 "hello" (and x y)) #+END_SRC #+RESULTS: - 1 - "hello" - (and x y) Note how nested lists are not recursively shown as nested Org-mode lists. For some reason, the =list= output format does not work with the result drawer: #+BEGIN_SRC racket :results list drawer '(1 "hello" (and x y)) #+END_SRC #+RESULTS: :RESULTS: - (1 "\"hello\"" (and x y)) :END: Finally, the =table= result format typesets the output as a table: #+BEGIN_SRC racket :results table drawer '((a . #t) (b . #f)) #+END_SRC #+RESULTS: :RESULTS: | a | #t | | b | #f | :END: This is clearly very useful for printing states (and hash tables, more generally): #+BEGIN_SRC racket :results table drawer (st '((a . 1) (b . #f) (c . "hello"))) #+END_SRC #+RESULTS: :RESULTS: | a | 1 | | b | #f | | c | "hello" | :END: *** A note about printing update function forms Automatic table typesetting may go in the way of readability for hash tables whose values are lists, as the following example shows: #+BEGIN_SRC racket :results table drawer #hash((a . (and a b)) (b . (not b))) #+END_SRC #+RESULTS: :RESULTS: | a | and | a | b | | b | not | b | | :END: To tackle this issue, [[../utils.rkt][=dds/utils=]] provides =stringify-variable-mapping= (with the shortcut =sgfy=) which converts all the values of a given variable mapping to strings: #+BEGIN_SRC racket :results table drawer (sgfy #hash((a . (and a b)) (b . (not b)))) #+END_SRC #+RESULTS: :RESULTS: | a | "(and a b)" | | b | "(not b)" | :END: ** Reading Org-mode tables<> Org-mode allows supplying tables as arguments for code blocks. #+NAME: test-table | a | "(and a b)" | | b | (or b (not a)) | #+BEGIN_SRC elisp :var tab=test-table :results output drawer tab #+END_SRC #+RESULTS: :RESULTS: :END: ((a (and a b)) (b (or b (not a)))) Unfortunately, the same trick does not work with Racket directly, because Racket interprets the first elements in the parentheses as function applications: #+BEGIN_SRC racket :results output drawer :var tab=test-table tab #+END_SRC #+RESULTS: :RESULTS: application: not a procedure; expected a procedure that can be applied to arguments given: "a" arguments...: "(and a b)" context...: "/tmp/babel-qkvrRR/org-babel-c4wuju.rkt": [running body] temp37_0 for-loop run-module-instance!125 perform-require!78 :END: Fortunately, we can easily remedy this problem by creating a named parameterised Elisp source block which will explicitly convert the table to a string: #+NAME: munch-table #+BEGIN_SRC elisp :results output drawer :var tab=test-table (prin1 tab) #+END_SRC #+RESULTS: munch-table :RESULTS: (("a" "(and a b)") ("b" "(or b (not a))")) :END: We can now correctly receive this table in a Racket source code block by threading it through =munch-table=: #+BEGIN_SRC racket :results output drawer :var tab=munch-table(tab=test-table) (println tab) #+END_SRC #+RESULTS: :RESULTS: "((\"a\" \"(and a b)\") (\"b\" \"(or b (not a))\"))" :END: [[../utils.rkt][=dds/utils=]] has several functions for parsing such strings, and notably =read-org-variable-mapping=, with the shortcut =unorg=: #+BEGIN_SRC racket :results output drawer :var tab=munch-table(tab=test-table) (unorg tab) #+END_SRC #+RESULTS: :RESULTS: '#hash((a . (and a b)) (b . (or b (not a)))) :END: Of course, we can use =munch-table= to prepare any other table than =test-table= for use with Racket: #+NAME: another-test-table | a | (not a) | | b | (and a c) | | c | (and a (not b)) | #+BEGIN_SRC racket :results output drawer :var tab=munch-table(tab=another-test-table) (unorg tab) #+END_SRC #+RESULTS: :RESULTS: '#hash((a . (not a)) (b . (and a c)) (c . (and a (not b)))) :END: ** Inline graph visualisation with Graphviz Some functions in =dds= build graphs: #+BEGIN_SRC racket :results output drawer :var bf=munch-table(another-test-table) (build-interaction-graph (unorg bf)) #+END_SRC #+RESULTS: :RESULTS: # :END: The =graph= library allows building a Graphviz description of the constructed graph. (Note that you have to install the =graph= library by running =raco pkg install graph= and require it. The long property line at the top of this file defining the prologue for racket source code blocks takes care of requiring =graph=.) #+NAME: igraph #+BEGIN_SRC racket :results output drawer :var bf=munch-table(another-test-table) (display (graphviz (build-interaction-graph (unorg bf)))) #+END_SRC #+RESULTS: igraph :RESULTS: digraph G { node0 [label="c"]; node1 [label="b"]; node2 [label="a"]; subgraph U { edge [dir=none]; node0 -> node1; node2 -> node2; } subgraph D { node2 -> node0; node2 -> node1; } } :END: You can have an inline drawing of this graph by calling the previous code block (=igraph=) via a noweb reference in Graphviz/DOT source block: #+BEGIN_SRC dot :file dots/exampleBQNp7Z.svg :results raw drawer :cmd sfdp :noweb yes <> #+END_SRC #+RESULTS: :RESULTS: [[file:dots/exampleBQNp7Z.svg]] :END: Note that the =graph= library draws self-loops as undirected edges. It also draws double-sided edges as undirected edges (e.g., in the preceding graph, b depends on c and c depends on b). * =dds/networks= The [[../networks.rkt][=dds/networks=]] is a module for working with different network models. A network is a set of variables which are updated according to their corresponding update functions. The variables to be updated at each step are given by the mode. This model can generalise Boolean networks, TBANs, multivalued networks, etc. ** Boolean networks Consider the following Boolean network: #+NAME: simple-bn | a | b | | b | (and (not a) c) | | c | (not c) | Here's the unsigned interaction graph of this network: #+NAME: simple-bn-ig #+BEGIN_SRC racket :results silent :var simple-bn=munch-table(simple-bn) (dotit (build-interaction-graph (unorg simple-bn))) #+END_SRC #+BEGIN_SRC dot :file dots/examplejTo8XT.svg :results raw drawer :cmd sfdp :noweb yes <> #+END_SRC #+RESULTS: :RESULTS: [[file:dots/examplejTo8XT.svg]] :END: Here's the signed interaction graph of this network: #+NAME: simple-bn-sig #+BEGIN_SRC racket :results silent :var simple-bn=munch-table(simple-bn) (dotit (build-boolean-signed-interaction-graph (unorg simple-bn))) #+END_SRC #+BEGIN_SRC dot :file dots/exampledpQygl.svg :results raw drawer :cmd sfdp :noweb yes <> #+END_SRC #+RESULTS: :RESULTS: [[file:dots/exampledpQygl.svg]] :END: For the interaction a \to b, note indeed that when c is #f, b is always #f (positive interaction). On the other hand, when c is #t, b becomes (not a) (negative interaction). Therefore, the influence of a on b is neither activating nor inhibiting. * Local Variables :noexport: # Local Variables: # eval: (auto-fill-mode) # ispell-local-dictionary: "en" # org-link-file-path-type: relative # End: