All output files are now created at output/.

.gitignore

@@ -1,8 +1,6 @@
 # Auto-generated
 *.pdf
-images/*.svg
-diagrams/*.svg
-tables/*.csv
+output/
 
 # Exceptions
 !guide.pdf

code/1.R

@@ -53,7 +53,7 @@ simulate <- function(alpha, beta, output_file) {
 
 set.seed(0)
 pdf(NULL)
-simulate(0.1, 0.1, "images/1a (α=0.1, β=0.1).svg")
-simulate(0.5, 0.5, "images/1a (α=0.5, β=0.5).svg")
-simulate(0.9, 0.9, "images/1a (α=0.9, β=0.9).svg")
-simulate(0.9, 0.1, "images/1b (α=0.9, β=0.1).svg")
+simulate(0.1, 0.1, "output/1a (α=0.1, β=0.1).svg")
+simulate(0.5, 0.5, "output/1a (α=0.5, β=0.5).svg")
+simulate(0.9, 0.9, "output/1a (α=0.9, β=0.9).svg")
+simulate(0.9, 0.1, "output/1b (α=0.9, β=0.1).svg")

code/2.R

@@ -17,7 +17,7 @@ for (data_idx in 2:length(data)) {
 
 cat("Occurrences matrix:\n")
 print(occur_matrix)
-write.table(occur_matrix, "tables/2-occur.csv", sep = "\t", col.names = FALSE, row.names = FALSE)
+write.table(occur_matrix, "output/2-occur.csv", sep = "\t", col.names = FALSE, row.names = FALSE)
 
 prob_matrix <- apply(
   occur_matrix,
@@ -27,7 +27,7 @@ prob_matrix <- apply(prob_matrix, 2, function(cell) round(cell, 2))
 
 cat("Probability matrix:\n")
 print(prob_matrix)
-write.table(prob_matrix, "tables/2-prob.csv", sep = "\t", col.names = FALSE, row.names = FALSE)
+write.table(prob_matrix, "output/2-prob.csv", sep = "\t", col.names = FALSE, row.names = FALSE)
 
 alpha <- prob_matrix[1, 1]
 beta <- prob_matrix[2, 1]

exercises/1.typ

@@ -3,7 +3,7 @@
 #indent_par[The 2-DTMC process is capable of performing both what the Bernoulli process can, as well as another interesting behavior]
 
 #figure(
-  image("/diagrams/1.svg", width: 50%),
+  image("/output/1.svg", width: 50%),
   caption: [2-DTMC process]
 )
 
@@ -12,7 +12,7 @@
 #indent_par[When the α and β parameters are on opposite sides of the spectrum, the 2-DTMC process exhibits an interesting behavior:]
 
 #figure(
-  image("/images/1b (α=0.9, β=0.1).svg", width: 50%),
+  image("/output/1b (α=0.9, β=0.1).svg", width: 50%),
   caption: [2-DTMC and Bernoulli processes (α=0.9, β=0.1)]
 )
 
@@ -27,15 +27,15 @@
 #grid(
   columns: (1fr, 1fr, 1fr),
   figure(
-    image("/images/1a (α=0.1, β=0.1).svg", width: 80%),
+    image("/output/1a (α=0.1, β=0.1).svg", width: 80%),
     caption: [2-DTMC and Bernoulli processes (α=0.1, β=0.1)]
   ),
   figure(
-    image("/images/1a (α=0.5, β=0.5).svg", width: 80%),
+    image("/output/1a (α=0.5, β=0.5).svg", width: 80%),
     caption: [2-DTMC and Bernoulli processes (α=0.5, β=0.5)]
   ),
   figure(
-    image("/images/1a (α=0.9, β=0.9).svg", width: 80%),
+    image("/output/1a (α=0.9, β=0.9).svg", width: 80%),
     caption: [2-DTMC and Bernoulli processes (α=0.9, β=0.9)]
   )
 )

exercises/2.typ

@@ -6,8 +6,8 @@
 
 #indent_par[The following were our results:]
 
-#let occur_matrix = csv("/tables/2-occur.csv", delimiter: "\t")
-#let prob_matrix = csv("/tables/2-prob.csv", delimiter: "\t")
+#let occur_matrix = csv("/output/2-occur.csv", delimiter: "\t")
+#let prob_matrix = csv("/output/2-prob.csv", delimiter: "\t")
 #grid(
   columns: (1fr, 1fr),
   figure(

zbuild.yaml

@@ -1,5 +1,5 @@
 ---
-default: [diagrams/1.svg, rule: ex1, rule: ex2]
+default: [output/1.svg, rule: ex1, rule: ex2]
 
 rules:
   # Typst
@@ -20,7 +20,7 @@ rules:
   diagram:
     alias:
       input: diagrams/^(file).dot
-      output: diagrams/^(file).svg
+      output: output/^(file).svg
     out: [$(output)]
     deps: [$(input)]
     exec:
@@ -33,10 +33,10 @@ rules:
   # Exercise 1
   ex1:
     out:
-      - images/1a (α=0.1, β=0.1).svg
-      - images/1b (α=0.9, β=0.1).svg
-      - images/1a (α=0.5, β=0.5).svg
-      - images/1a (α=0.9, β=0.9).svg
+      - output/1a (α=0.1, β=0.1).svg
+      - output/1b (α=0.9, β=0.1).svg
+      - output/1a (α=0.5, β=0.5).svg
+      - output/1a (α=0.9, β=0.9).svg
     deps:
       - code/1.R
     exec:
@@ -46,8 +46,8 @@ rules:
   # Exercise 2
   ex2:
     out:
-      - tables/2-occur.csv
-      - tables/2-prob.csv
+      - output/2-occur.csv
+      - output/2-prob.csv
     deps:
       - code/2.R
     exec: