format number properly

.gitignore

@@ -0,0 +1 @@
+main.pdf

0_preamble/acknowledgements.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": todo
+#import "../lib.typ": todo
 
 = Acknowledgements
 

0_preamble/french_summary.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": todo
+#import "../lib.typ": todo
 
 = Résumé en Français
 

3_rasta/0_intro.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": etal
+#import "../lib.typ": etal
 #import "X_var.typ": *
 
 == Introduction

3_rasta/1_related_work.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": etal, eg, ie
+#import "../lib.typ": etal, eg, ie
 #import "X_var.typ": *
 
 == Related Work <sec:rasta-soa>

3_rasta/2_methodology.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": todo, etal, eg
+#import "../lib.typ": todo, etal, eg
 #import "X_var.typ": *
 #import "X_lib.typ": *
 
@@ -85,7 +85,7 @@ We manually searched the tool repository when the website mentioned in the paper
 - the source code of the tool; 
 - the documentation for building and using the tool with a MWE (Minimum Working Example). 
 
-In @tab:rasta-tools we rated the quality of these artifacts with "#ok" when available but may have inconsistencies, a "#bad" when too much inconsistencies (inaccurate remarks about the sources, dead links or missing parts) have been found, a "#ko" when no documentation have been found, and a double "#ok#ok" for the documentation when it covers all our expectations (building process, usage, MWE). 
+In @tab:rasta-tools we rated the quality of these artifacts with "#ok" when available but may have inconsistencies, a "#bad" when too much inconsistencies (inaccurate remarks about the sources, dead links or missing parts) have been found, a "#ko" when no documentation have been found, and a double "#okk" for the documentation when it covers all our expectations (building process, usage, MWE). 
 Results show that documentation is often missing or very poor (#eg Lotrack), which makes the rebuild process very complex and the first analysis of a MWE.  
 
 

3_rasta/3_experiments.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": todo, highlight
+#import "../lib.typ": todo, highlight, num
 #import "X_var.typ": *
 #import "X_lib.typ": *
 
@@ -50,8 +50,9 @@ is  #mypercent(54.9, 100). When including the two defective tools, this ratio dr
 
 #highlight()[
 *RQ1 answer:*
-On a recent dataset we consider that \resultunusable of the tools 
- are unusable. For the tools that we could run, \resultratio of analysis are finishing successfully.%(those with less than 50\% of successful execution and including the two tools that we were unable to build).
+On a recent dataset we consider that \resultunusable of the tools are unusable. 
+For the tools that we could run, \resultratio of analysis are finishing successfully.
+//(those with less than 50\% of successful execution and including the two tools that we were unable to build).
 ]
 
 /*

3_rasta/4_discussion.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": todo, etal
+#import "../lib.typ": todo, etal
 #import "X_var.typ": *
 #import "X_lib.typ": *
 

3_rasta/X_lib.typ

@@ -1,8 +1,3 @@
-
-#let mypercent(numerator, denominator, digits: 2) = {
-  [#calc.round((100 * numerator) / denominator, digits: digits) %]
-}
-
 #let ok = text(fill: olive, sym.checkmark)
 #let okk = text(fill: olive, tracking: -5pt, sym.checkmark+sym.checkmark)
 
@@ -25,5 +20,3 @@
     s
   }
 }
-
-#let num(n) = [#n]

3_rasta/X_var.typ

@@ -1,7 +1,7 @@
-#import "X_lib.typ": mypercent
+#import "../lib.typ": num, mypercent
 
 #let NBTOTAL = 62525
-#let NBTOTALSTRING = NBTOTAL //\num{62525}\xspace}
+#let NBTOTALSTRING = num(NBTOTAL)
 
 #let nbtools = 26
 #let nbtoolsselected = 20

3_rasta/main.typ

@@ -1,10 +1,8 @@
-#import "@local/template-thesis-matisse:0.0.1": todo
+#import "../lib.typ": todo
 
 = RASTA
 
-#todo[typstify RASTA paper]
-
-#todo[Format numbers]
+#todo[Bring back element from previous version of rasta]
 
 #include("0_intro.typ")
 #include("1_related_work.typ")

4_class_loader/main.typ

@@ -0,0 +1,12 @@
+#import "../lib.typ": todo
+
+= Class loaders in the middle: confusing Android static analyzers
+
+/*
+#include("0_intro.typ")
+#include("1_related_work.typ")
+#include("2_methodology.typ")
+#include("3_experiments.typ")
+#include("4_discussion.typ")
+#include("5_conclusion.typ")
+*/

lib.typ

@@ -0,0 +1,36 @@
+#import "@local/template-thesis-matisse:0.0.1": *
+
+// Format number.
+// Following https://www.mit.edu/course/21/21.guide/numbers.htm
+#let num(n, decimal: ".", thousands: " ") = {
+  let n = if type(n) == str {
+    float(n)
+  } else {
+    n
+  }
+  assert(type(n) == int or type(n) == float, message: "must be a number")
+
+  let parts = str(n).split(".")
+  let decimal_p = if parts.len() == 2 { parts.at(1) }
+  let integer_p = parts.at(0)
+  let integer_p = if integer_p.len() <= 4 {
+    integer_p
+  } else {
+    let nb_cluster = calc.div-euclid(integer_p.len(), 3)
+    let first_cluster_size = calc.rem-euclid(integer_p.len(), 3)
+    let clusters = ()
+    if first_cluster_size != 0 {
+      clusters.push(integer_p.slice(0, count: first_cluster_size))
+    }
+    for i in range(0, nb_cluster) {
+      clusters.push(integer_p.slice(first_cluster_size + i*3, count: 3))
+    }
+    clusters.join(thousands)
+  }
+  let formated = integer_p + if decimal_p != none { decimal + decimal_p }
+  [#formated]
+}
+
+
+#let mypercent(numerator, denominator, digits: 2) = [#num(calc.round((100 * numerator) / denominator, digits: digits))%]
+

main.typ

@@ -1,4 +1,4 @@
-#import "@local/template-thesis-matisse:0.0.1": *
+#import "lib.typ": *
 
 #import "jury.typ": jury-content
 #import "abstract.typ": keywords-en, keywords-fr, abstract-en, abstract-fr
@@ -115,11 +115,8 @@
 ) <alg:hello-void>
 
 
-#include("3_rasta/rasta.typ")
-
-= Contribution 2
-
-#lorem(500)
+#include("3_rasta/main.typ")
+#include("4_class_loader/main.typ")
 
 = Contribution n