This post has two parts. Part 1.
I know that the API is trying to hit the sweet spot on the brevity vs. information curve, but there are several areas where more information is needed; one of these is clojure.walk. Let's say that I have some nested set of vectors: (def nestV [ [0 [0] ] [0 0] ]) and I want to apply #(+ % 3) to each element and get out a nested set of vectors with the same shape as nestV [ [3 [3] ] [3 3]]. The overview to clojure.walk says the following: "It takes any data structure (list, vector, map, set, seq), calls a function on every element, and uses the return value of the function in place of the original." This sounds like I will find a function within this namespace that will do what I want. I tried prewalk and postwalk, which, from the their usage "examples" would appear to be what I want. But when I try to test them I find the following: user=> (prewalk #(+ 3 %) nestV) #<CompilerException java.lang.ClassCastException: clojure.lang.PersistentVector (NO_SOURCE_FILE:0)> user=> (postwalk #(+ 3 %) nestV) #<CompilerException java.lang.RuntimeException: java.lang.ClassCastException: clojure.lang.PersistentVector (NO_SOURCE_FILE:0)> The problem with the usage "examples" is that they don't actually show what the outcome will be. Further, there is no documentation other than the API on clojure.walk. Part 2 Is there a function in the API that allows me to do the type of calculation I described above? user=> (some-function #(+ % 3) nestV) (((3(3))(3 3)) -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en To unsubscribe from this group, send email to clojure+unsubscribegooglegroups.com or reply to this email with the words "REMOVE ME" as the subject.
