I saw a talk about railroad oriented programming (https://www.youtube.com/watch?v=fYo3LN9Vf_M), but i somehow do not get how to work this out, if i use reduce, because reduce has two or even three arguments.
How am i able to to put the following code like a railroad? I seems to me hard, because of reduce taking a function as an argument in addition to the game object.
(defn play-game-reduce []
(let [game-init
(->>
(io/initialize-cards-and-players)
(shuffle-and-share-cards myio/myshuffle)
(announce))
play-round
(reduce play-card (assoc-in game-init [:current-trick] '()) [:p1 :p2 :p3 :p4])]
(reduce play-round game-init (range (get game-init :round-count)))))
The whole code is here:
https://github.com/davidh38/doppelkopf/blob/master/src/mymain.clj
The code should more look like this:
(->> (io/initialize-cards-and-players)
(shuffle-and-share-cards myio/myshuffle)
(announce)
reduce (play-round .. )
reduce (play-card ...))
That would look to me much more explicit.
That video was made for a different language and you can't directly transfer these ideas to Clojure.
I looked at your source code and there are some things to improve:
(defn play-card-inp []
(eval (read-string (read-line))))
You shouldn't use eval in production code.
Read-string is unsafe and you should use clojure.edn/read-string instead. I'm not sure what is expected input here and what is the result of the evaluation, maybe you should use just clojure.edn/read here.
(defn myshuffle [cards]
(shuffle cards)
)
(defn initialize-cards-and-players []
; init cards
(def cards '([0 :c], [1 :c],[2 :c], [3 :c], [0 :s], [1 :s], [2 :s], [3 :s]))
(def players '(:p1 :p2 :p3 :p4))
;(def round-players (take 4 (drop (who-won_trick tricks) (cycle (keys players)))))
; mix and share cards
{:players (zipmap players (repeat {:cards () :tricks ()}))
:current-trick ()
:round-start-player :p1
:cards cards
:round-count (/ (count cards) (count players))
:mode ""
})
You should delete myshuffle and use directly shuffle where needed. Ending parenthesis shouldn't be on a separate line.
Don't use def (creates global variable) inside defn, use let (creates local variables). I would rewrite this as:
(defn new-deck []
(for [letter [:c :s]
number (range 4)]
[number letter]))
(defn new-game []
(let [cards (new-deck)
players [:p1 :p2 :p3 :p4]]
{:players (zipmap players (repeat {:cards () :tricks ()}))
:current-trick ()
:round-start-player :p1
:cards cards
:round-count (/ (count cards) (count players))
:mode ""}))
Notes for mymain.clj:
(defn who-won-trick [trick]
(eval (read-string (read-line))))
Some unused function, same problems as above.
(defn share-card-to-player [game players-cards]
(assoc game
:players
(assoc
(get game :players)
(first players-cards)
(assoc (get (game :players) (first players-cards))
:cards
(second players-cards)))))
Use assoc-in and some destructuring, something like this:
(defn share-card-to-player [game [player cards]]
(assoc-in game [:players player :cards] cards))
Your next function:
(defn shuffle-and-share-cards [myshuffle game]
(reduce share-card-to-player game
(map vector
(keys (get game :players))
(->> (get game :cards)
(myshuffle)
(partition (/ (count (get game :cards))
(count (get game :players))))))))
You can also destructure hash-maps, so I would rewrite this as:
(defn shuffle-and-share-cards [{:keys [players cards] :as game}]
(let [card-piles (->> cards
shuffle
(partition (/ (count cards)
(count players))))]
(reduce share-card-to-player game
(map vector
(keys players)
card-piles))))
Next functions:
(defn announce [game]
game)
(defn play-card [game curr-player]
(println curr-player)
(println game)
(let [played-card (io/play-card-inp)]
(->
(assoc-in game [:players curr-player :cards]
(remove #(= played-card %) (get-in game [:players curr-player :cards])))
(assoc-in [:current-trick]
(conj (game [:current-trick]) played-card)))))
announce is useless and update and update-in are better here:
(defn play-card [game curr-player]
(println curr-player)
(println game)
(let [played-card (io/play-card-inp)]
(-> game
(update-in [:players curr-player :cards] #(remove #{played-card} %))
(update :current-trick conj played-card))))
And finally, the last two functions:
(defn play-game-reduce []
(let [game-init
(->>
(io/initialize-cards-and-players)
(shuffle-and-share-cards myio/myshuffle)
(announce))
play-round
(reduce play-card (assoc-in game-init [:current-trick] '()) [:p1 :p2 :p3 :p4])]
(reduce play-round game-init (range (get game-init :round-count)))))
(defn play-game []
(let [game-init
(->>
(io/initialize-cards-and-players)
(shuffle-and-share-cards io/myshuffle)
(announce))]
(loop [round 1 game game-init]
(let [game-next (loop [curr-player 1 game-next game]
(if (> curr-player 4)
game-next
(recur (inc curr-player)
(play-card game-next (keyword (str "p" curr-player))))))]
(if (> round 2)
game-next
(recur (inc round) game-next))))))
loop/recur will be probably more readable, but two reduce should also work:
(defn play-game-reduce []
(let [game-init (-> (io/new-game)
shuffle-and-share-cards)]
(reduce (fn [game round]
(reduce play-card (assoc-in game [:current-trick] '()) [:p1 :p2 :p3 :p4]))
game-init
(range (get game-init :round-count)))))
(play-game-reduce)
Version with one reduce:
(defn play-game-reduce []
(let [game-init (-> (io/new-game)
shuffle-and-share-cards)
turns (for [round (range (:round-count game-init))
player [:p1 :p2 :p3 :p4]]
[round player])]
(reduce (fn [game [round player]]
(let [state (cond-> game
(= player (:round-start-player game)) (assoc-in [:current-trick] '()))]
(play-card state player)))
game-init
turns)))
And I also noticed that there's no validation of whether the current player can really play inserted card.
OK, I watched the talk (for the record, it gives a 5 minute overview of FP, then discusses error handling in pipelines in F#.
I didn't really care for the content of the video.
Clojure uses Exceptions for error handling, so a Clojure function always has only one output. Therefore the whole bind and map thing in the video doesn't apply.
I haven't looked at F# much before, but after watching that video I think it over-complicates things without much benefit.
Related
There is a map containing sequences. The sequences contain items.
I want to remove a given item from any sequence that contains it.
The solution I found does what it should, but I wonder if there is a better
or more elegant way to achieve the same.
my current solution:
(defn remove-item-from-map-value [my-map item]
(apply merge (for [[k v] my-map] {k (remove #(= item %) v)})))
The test describe the expected behaviour:
(require '[clojure.test :as t])
(def my-map {:keyOne ["itemOne"]
:keyTwo ["itemTwo" "itemThree"]
:keyThree ["itemFour" "itemFive" "itemSix"]})
(defn remove-item-from-map-value [my-map item]
(apply merge (for [[k v] my-map] {k (remove #(= item %) v)})))
(t/is (= (remove-item-from-map-value my-map "unknown-item") my-map))
(t/is (= (remove-item-from-map-value my-map "itemFive") {:keyOne ["itemOne"]
:keyTwo ["itemTwo" "itemThree"]
:keyThree ["itemFour" "itemSix"]}))
(t/is (= (remove-item-from-map-value my-map "itemThree") {:keyOne ["itemOne"]
:keyTwo ["itemTwo"]
:keyThree ["itemFour" "itemFive" "itemSix"]}))
(t/is (= (remove-item-from-map-value my-map "itemOne") {:keyOne []
:keyTwo ["itemTwo" "itemThree"]
:keyThree ["itemFour" "itemFive" "itemSix"]}))
I'm fairly new to clojure and am interested in different solutions.
So any input is welcome.
I throw in the specter
version for good measure. It keeps the vectors inside the map
and it's really compact.
(setval [MAP-VALS ALL #{"itemFive"}] NONE my-map)
Example
user=> (use 'com.rpl.specter)
nil
user=> (def my-map {:keyOne ["itemOne"]
#_=> :keyTwo ["itemTwo" "itemThree"]
#_=> :keyThree ["itemFour" "itemFive" "itemSix"]})
#_=>
#'user/my-map
user=> (setval [MAP-VALS ALL #{"itemFive"}] NONE my-map)
{:keyOne ["itemOne"],
:keyThree ["itemFour" "itemSix"],
:keyTwo ["itemTwo" "itemThree"]}
user=> (setval [MAP-VALS ALL #{"unknown"}] NONE my-map)
{:keyOne ["itemOne"],
:keyThree ["itemFour" "itemFive" "itemSix"],
:keyTwo ["itemTwo" "itemThree"]}
i would go with something like this:
user> (defn remove-item [my-map item]
(into {}
(map (fn [[k v]] [k (remove #{item} v)]))
my-map))
#'user/remove-item
user> (remove-item my-map "itemFour")
;;=> {:keyOne ("itemOne"),
;; :keyTwo ("itemTwo" "itemThree"),
;; :keyThree ("itemFive" "itemSix")}
you could also make up a handy function map-val performing mapping on map values:
(defn map-val [f data]
(reduce-kv
(fn [acc k v] (assoc acc k (f v)))
{} data))
or shortly like this:
(defn map-val [f data]
(reduce #(update % %2 f) data (keys data)))
user> (map-val inc {:a 1 :b 2})
;;=> {:a 2, :b 3}
(defn remove-item [my-map item]
(map-val (partial remove #{item}) my-map))
user> (remove-item my-map "itemFour")
;;=> {:keyOne ("itemOne"),
;; :keyTwo ("itemTwo" "itemThree"),
;; :keyThree ("itemFive" "itemSix")}
I think your solution is mostly okay, but I would try to avoid the apply merge part, as you can easily recreate a map from a sequence with into. Also, you could also use map instead of for which I think is a little bit more idiomatic in this case as you don't use any of the list comprehension features of for.
(defn remove-item-from-map-value [m item]
(->> m
(map (fn [[k vs]]
{k (remove #(= item %) vs)}))
(into {})))
Another solution much like #leetwinski:
(defn remove-item [m i]
(zipmap (keys m)
(map (fn [v] (remove #(= % i) v))
(vals m))))
Here's a one-liner which does this in an elegant way. The perfect function for me to use in this scenario is clojure.walk/prewalk. What this fn does is it traverse all of the sub-forms of the form that you pass to it and it transforms them with the provided fn:
(defn remove-item-from-map-value [data item]
(clojure.walk/prewalk #(if (map-entry? %) [(first %) (remove #{item} (second %))] %) data))
What the remove-item-from-map-value fn will do is it will check if current form is a map entry and if so, it will remove specified key from its value (second element of the map entry, which is a vector containing a key and a value, respectively).
The best this about this approach is that is is completely extendable: you could decide to do different things for different types of forms, you can also handle nested forms, etc.
It took me some time to master this fn but once I got it I found it extremely useful!
I'm writing an agar.io clone. I've lately seen a lot of suggestions to limit use of records (like here), so I'm trying to do the whole project only using basic maps.*
I ended up creating constructors for different "types" of bacteria like
(defn new-bacterium [starting-position]
{:mass 0,
:position starting-position})
(defn new-directed-bacterium [starting-position starting-directions]
(-> (new-bacterium starting-position)
(assoc :direction starting-directions)))
The "directed bacterium" has a new entry added to it. The :direction entry will be used to remember what direction it was heading in.
Here's the problem: I want to have one function take-turn that accepts the bacterium and the current state of the world, and returns a vector of [x, y] indicating the offset from the current position to move the bacterium to. I want to have a single function that's called because I can think right now of at least three kinds of bacteria that I'll want to have, and would like to have the ability to add new types later that each define their own take-turn.
A Can-Take-Turn protocol is out the window since I'm just using plain maps.
A take-turn multimethod seemed like it would work at first, but then I realized that I'd have no dispatch values to use in my current setup that would be extensible. I could have :direction be the dispatch function, and then dispatch on nil to use the "directed bacterium"'s take-turn, or default to get the base aimless behavior, but that doesn't give me a way of even having a third "player bacterium" type.
The only solution I can think of it to require that all bacterium have a :type field, and to dispatch on it, like:
(defn new-bacterium [starting-position]
{:type :aimless
:mass 0,
:position starting-position})
(defn new-directed-bacterium [starting-position starting-directions]
(-> (new-bacterium starting-position)
(assoc :type :directed,
:direction starting-directions)))
(defmulti take-turn (fn [b _] (:type b)))
(defmethod take-turn :aimless [this world]
(println "Aimless turn!"))
(defmethod take-turn :directed [this world]
(println "Directed turn!"))
(take-turn (new-bacterium [0 0]) nil)
Aimless turn!
=> nil
(take-turn (new-directed-bacterium [0 0] nil) nil)
Directed turn!
=> nil
But now I'm back to basically dispatching on type, using a slower method than protocols. Is this a legitimate case to use records and protocols, or is there something about mutlimethods that I'm missing? I don't have a lot of practice with them.
* I also decided to try this because I was in the situation where I had a Bacterium record and wanted to create a new "directed" version of the record that had a single field direction added to it (inheritance basically). The original record implemented protocols though, and I didn't want to have to do something like nesting the original record in the new one, and routing all behavior to the nested instance. Every time I created a new type or changed a protocol, I would have to change all the routing, which was a lot of work.
You can use example-based multiple dispatch for this, as explained in this blog post. It is certainly not the most performant way to solve this problem, but arguably more flexible than multi-methods as it does not require you to declare a dispatch-method upfront. So it is open for extension to any data representation, even other things than maps. If you need performance, then multi-methods or protocols as you suggest, is probably the way to go.
First, you need to add a dependency on [bluebell/utils "1.5.0"] and require [bluebell.utils.ebmd :as ebmd]. Then you declare constructors for your data structures (copied from your question) and functions to test those data strucutres:
(defn new-bacterium [starting-position]
{:mass 0
:position starting-position})
(defn new-directed-bacterium [starting-position starting-directions]
(-> (new-bacterium starting-position)
(assoc :direction starting-directions)))
(defn bacterium? [x]
(and (map? x)
(contains? x :position)))
(defn directed-bacterium? [x]
(and (bacterium? x)
(contains? x :direction)))
Now we are going to register those datastructures as so called arg-specs so that we can use them for dispatch:
(ebmd/def-arg-spec ::bacterium {:pred bacterium?
:pos [(new-bacterium [9 8])]
:neg [3 4]})
(ebmd/def-arg-spec ::directed-bacterium {:pred directed-bacterium?
:pos [(new-directed-bacterium [9 8] [3 4])]
:neg [(new-bacterium [3 4])]})
For each arg-spec, we need to declare a few example values under the :pos key, and a few non-examples under the :neg key. Those values are used to resolve the fact that a directed-bacterium is more specific than just a bacterium in order for the dispatch to work properly.
Finally, we are going to define a polymorphic take-turn function. We first declare it, using declare-poly:
(ebmd/declare-poly take-turn)
And then, we can provide different implementations for specific arguments:
(ebmd/def-poly take-turn [::bacterium x
::ebmd/any-arg world]
:aimless)
(ebmd/def-poly take-turn [::directed-bacterium x
::ebmd/any-arg world]
:directed)
Here, the ::ebmd/any-arg is an arg-spec that matches any argument. The above approach is open to extension just like multi-methods, but does not require you to declare a :type field upfront and is thus more flexible. But, as I said, it is also going to be slower than both multimethods and protocols, so ultimately this is a trade-off.
Here is the full solution: https://github.com/jonasseglare/bluebell-utils/blob/archive/2018-11-16-002/test/bluebell/utils/ebmd/bacteria_test.clj
Dispatching a multimethod by a :type field is indeed polymorphic dispatch that could be done with a protocol, but using multimethods allows you to dispatch on different fields. You can add a second multimethod that dispatches on something other than :type, which might be tricky to accomplish with a protocol (or even multiple protocols).
Since a multimethod can dispatch on anything, you could use a set as the dispatch value. Here's an alternative approach. It's not fully extensible, since the keys to select are determined within the dispatch function, but it might give you an idea for a better solution:
(defmulti take-turn (fn [b _] (clojure.set/intersection #{:direction} (set (keys b)))))
(defmethod take-turn #{} [this world]
(println "Aimless turn!"))
(defmethod take-turn #{:direction} [this world]
(println "Directed turn!"))
Fast paths exist for a reason, but Clojure doesn't stop you from doing anything you want to do, per say, including ad hoc predicate dispatch. The world is definitely your oyster. Observe this super quick and dirty example below.
First, we'll start off with an atom to store all of our polymorphic functions:
(def polies (atom {}))
In usage, the internal structure of the polies would look something like this:
{foo ; <- function name
{:dispatch [[pred0 fn0 1 ()] ; <- if (pred0 args) do (fn0 args)
[pred1 fn1 1 ()]
[pred2 fn2 2 '&]]
:prefer {:this-pred #{:that-pred :other-pred}}}
bar
{:dispatch [[pred0 fn0 1 ()]
[pred1 fn1 3 ()]]
:prefer {:some-pred #{:any-pred}}}}
Now, let's make it so that we can prefer predicates (like prefer-method):
(defn- get-parent [pfn x] (->> (parents x) (filter pfn) first))
(defn- in-this-or-parent-prefs? [poly v1 v2 f1 f2]
(if-let [p (-> #polies (get-in [poly :prefer v1]))]
(or (contains? p v2) (get-parent f1 v2) (get-parent f2 v1))))
(defn- default-sort [v1 v2]
(if (= v1 :poly/default)
1
(if (= v2 :poly/default)
-1
0)))
(defn- pref [poly v1 v2]
(if (-> poly (in-this-or-parent-prefs? v1 v2 #(pref poly v1 %) #(pref poly % v2)))
-1
(default-sort v1 v2)))
(defn- sort-disp [poly]
(swap! polies update-in [poly :dispatch] #(->> % (sort-by first (partial pref poly)) vec)))
(defn prefer [poly v1 v2]
(swap! polies update-in [poly :prefer v1] #(-> % (or #{}) (conj v2)))
(sort-disp poly)
nil)
Now, let's create our dispatch lookup system:
(defn- get-disp [poly filter-fn]
(-> #polies (get-in [poly :dispatch]) (->> (filter filter-fn)) first))
(defn- pred->disp [poly pred]
(get-disp poly #(-> % first (= pred))))
(defn- pred->poly-fn [poly pred]
(-> poly (pred->disp pred) second))
(defn- check-args-length [disp args]
((if (= '& (-> disp (nth 3) first)) >= =) (count args) (nth disp 2)))
(defn- args-are? [disp args]
(or (isa? (vec args) (first disp)) (isa? (mapv class args) (first disp))))
(defn- check-dispatch-on-args [disp args]
(if (-> disp first vector?)
(-> disp (args-are? args))
(-> disp first (apply args))))
(defn- disp*args? [disp args]
(and (check-args-length disp args)
(check-dispatch-on-args disp args)))
(defn- args->poly-fn [poly args]
(-> poly (get-disp #(disp*args? % args)) second))
Next, let's prepare our define macro with some initialization and setup functions:
(defn- poly-impl [poly args]
(if-let [poly-fn (-> poly (args->poly-fn args))]
(-> poly-fn (apply args))
(if-let [default-poly-fn (-> poly (pred->poly-fn :poly/default))]
(-> default-poly-fn (apply args))
(throw (ex-info (str "No poly for " poly " with " args) {})))))
(defn- remove-disp [poly pred]
(when-let [disp (pred->disp poly pred)]
(swap! polies update-in [poly :dispatch] #(->> % (remove #{disp}) vec))))
(defn- til& [args]
(count (take-while (partial not= '&) args)))
(defn- add-disp [poly poly-fn pred params]
(swap! polies update-in [poly :dispatch]
#(-> % (or []) (conj [pred poly-fn (til& params) (filter #{'&} params)]))))
(defn- setup-poly [poly poly-fn pred params]
(remove-disp poly pred)
(add-disp poly poly-fn pred params)
(sort-disp poly))
With that, we can finally build our polies by rubbing some macro juice on there:
(defmacro defpoly [poly-name pred params body]
`(do (when-not (-> ~poly-name quote resolve bound?)
(defn ~poly-name [& args#] (poly-impl ~poly-name args#)))
(let [poly-fn# (fn ~(symbol (str poly-name "-poly")) ~params ~body)]
(setup-poly ~poly-name poly-fn# ~pred (quote ~params)))
~poly-name))
Now you can build arbitrary predicate dispatch:
;; use defpoly like defmethod, but without a defmulti declaration
;; unlike defmethods, all params are passed to defpoly's predicate function
(defpoly myinc number? [x] (inc x))
(myinc 1)
;#_=> 2
(myinc "1")
;#_=> Execution error (ExceptionInfo) at user$poly_impl/invokeStatic (REPL:6).
;No poly for user$eval187$myinc__188#5c8eee0f with ("1")
(defpoly myinc :poly/default [x] (inc x))
(myinc "1")
;#_=> Execution error (ClassCastException) at user$eval245$fn__246/invoke (REPL:1).
;java.lang.String cannot be cast to java.lang.Number
(defpoly myinc string? [x] (inc (read-string x)))
(myinc "1")
;#_=> 2
(defpoly myinc
#(and (number? %1) (number? %2) (->> %& (filter (complement number?)) empty?))
[x y & z]
(inc (apply + x y z)))
(myinc 1 2 3)
;#_=> 7
(myinc 1 2 3 "4")
;#_=> Execution error (ArityException) at user$poly_impl/invokeStatic (REPL:5).
;Wrong number of args (4) passed to: user/eval523/fn--524
; ^ took the :poly/default path
And when using your example, we can see:
(defn new-bacterium [starting-position]
{:mass 0,
:position starting-position})
(defn new-directed-bacterium [starting-position starting-directions]
(-> (new-bacterium starting-position)
(assoc :direction starting-directions)))
(defpoly take-turn (fn [b _] (-> b keys set (contains? :direction)))
[this world]
(println "Directed turn!"))
;; or, if you'd rather use spec
(defpoly take-turn (fn [b _] (->> b (s/valid? (s/keys :req-un [::direction])))
[this world]
(println "Directed turn!"))
(take-turn (new-directed-bacterium [0 0] nil) nil)
;#_=> Directed turn!
;nil
(defpoly take-turn :poly/default [this world]
(println "Aimless turn!"))
(take-turn (new-bacterium [0 0]) nil)
;#_=> Aimless turn!
;nil
(defpoly take-turn #(-> %& first :show) [this world]
(println :this this :world world))
(take-turn (assoc (new-bacterium [0 0]) :show true) nil)
;#_=> :this {:mass 0, :position [0 0], :show true} :world nil
;nil
Now, let's try using isa? relationships, a la defmulti:
(derive java.util.Map ::collection)
(derive java.util.Collection ::collection)
;; always wrap classes in a vector to dispatch off of isa? relationships
(defpoly foo [::collection] [c] :a-collection)
(defpoly foo [String] [s] :a-string)
(foo [])
;#_=> :a-collection
(foo "bob")
;#_=> :a-string
And of course we can use prefer to disambiguate relationships:
(derive ::rect ::shape)
(defpoly bar [::rect ::shape] [x y] :rect-shape)
(defpoly bar [::shape ::rect] [x y] :shape-rect)
(bar ::rect ::rect)
;#_=> :rect-shape
(prefer bar [::shape ::rect] [::rect ::shape])
(bar ::rect ::rect)
;#_=> :shape-rect
Again, the world's your oyster! There's nothing stopping you from extending the language in any direction you want.
I'm often writing code of the form
(->> init
(map ...)
(filter ...)
(first))
When converting this into code that uses transducers I'll end up with something like
(transduce (comp (map ...) (filter ...)) (completing #(reduced %2)) nil init)
Writing (completing #(reduced %2)) instead of first doesn't sit well with me at all. It needlessly obscures a very straightforward task. Is there a more idiomatic way of performing this task?
I'd personally use your approach with a custom reducing function but here are some alternatives:
(let [[x] (into [] (comp (map inc) (filter even?) (take 1)) [0 1])]
x)
Using destructing :/
Or:
(first (eduction (map inc) (filter even?) [0 1])
Here you save on calling comp which is done for you. Though it's not super lazy. It'll realize up to 32 elements so it's potentially wasteful.
Fixed with a (take 1):
(first (eduction (map inc) (filter even?) (take 1) [0 1]))
Overall a bit shorter and not too unclear compared to:
(transduce (comp (map inc) (filter even?) (take 1)) (completing #(reduced %2)) nil [0 1])
If you need this a bunch, then I'd probably NOT create a custom reducer function but instead a function similar to transduce that takes xform, coll as the argument and returns the first value. It's clearer what it does and you can give it a nice docstring. If you want to save on calling comp you can also make it similar to eduction:
(defn single-xf
"Returns the first item of transducing the xforms over collection"
{:arglists '([xform* coll])}
[& xforms]
(transduce (apply comp (butlast xforms)) (completing #(reduced %2)) nil (last xforms)))
Example:
(single-xf (map inc) (filter even?) [0 1])
medley has find-first with a transducer arity and xforms has a reducing function called last. I think that the combination of the two is what you're after.
(ns foo.bar
(:require
[medley.core :as medley]
[net.cgrand.xforms.rfs :as rfs]))
(transduce (comp (map ,,,) (medley/find-first ,,,)) rfs/last init)
i have one file "map_reduce2.clj" and another "map_reduce3.clj", the both defin function "map-reduce" themself.
now i want to use namespace of "map_reduce2.clj" in "map_reduce3.clj", but when i press "C-c C-k" in emacs to compile the "map_reduce3.clj",
error happens: "parse-line already refers to: #'chapter12.map-reduce2/parse-line in
namespace: chapter12.map-reduce3" , but this doesn't make any sense.
; map_reduce3.cli
(ns chapter12.map-reduce3
(:use clojure.java.io)
(:require [chapter12.map-reduce2 :as c12]))
(def IGNORE "_")
(defn parse-line [line]
(let [tokens (.split (.toLowerCase line) " ")]
[[IGNORE (count tokens)]]))
(defn average [numbers]
(/ (apply + numbers)
(count numbers)))
(defn reducer [combined]
(average (val (first combined))))
(defn average-line-length [filename]
(c12/map-reduce parse-line reducer (line-seq (reader filename))))
; map_reduce2.clj
(ns chapter12.map-reduce2
(:use clojure.java.io))
(defn combine [mapped]
(->> (apply concat mapped)
(group-by first)
(map (fn [[k v]]
{k (map second v)}))
(apply merge-with conj)))
(defn map-reduce [mapper reducer args-seq]
(->> (map mapper args-seq)
(combine)
(reducer)))
(defn parse-line [line]
(let [tokens (.split (.toLowerCase line) " ")]
(map #(vector % 1) tokens)))
(defn sum [[k v]]
{k (apply + v)})
(defn reduce-parsed-lines [collected-values]
(apply merge (map sum collected-values)))
(defn word-frequency [filename]
(map-reduce parse-line reduce-parsed-lines (line-seq (reader filename))))
images of the the error
This probably means you have dirty REPL state. Maybe you moved the function parse-line from one namespace to the other. I suggest restarting the REPL, or unload parse-line from map-reduce3: How to unload a function from another namespace?.
Is there a convenient way in ClojureScript to pretty print a nested hash-map in the way that the whole tree-structure becomes immediately visible.
For instance a map like this
(def my-map {:a {:b 1 :c 9} :b {:d 8 :e {:f 2 :g 3 :h 4}} :c 10})
should be printed like this:
{:a {:b 1
:c 9}
:b {:d 8
:e {:f 2
:g 3
:h 4}}
:c 10}
EDIT: There might also be vectors in the map. The usecase is just to inspect larger data structures during development.
There is no built-in way to do it. You might come close to what you want by using cljs.pprint and setting cljs.pprint/*print-right-margin* to a low value.
I would recommend to take a look at a small library shodan which provides a very useful inspect function:
(require '[shodan.inspection :refer [inspect]])
(inspect {:aaaaaa 1
:bbbbbb {:ccc 2
:dddddd [1 2 3 4 5]}})
It won't print anything in your CLJS REPL but will provide a handy view in your browser's console:
You can collapse and expand nested datastructures - it basically does what you asked for.
As a personal challenge I wrote the following code:
(enable-console-print!)
(def atomic? (complement coll?))
(def padding #(apply str (repeat % " ")))
(def tabulate #(apply str (repeat % "\t")))
(def strcat #(->> (apply concat %&) (apply str)))
(defn my-max-key [x] (if (empty? x) [""] (apply (partial max-key count) x)))
(defn longest-key [m] (->> m keys (filter atomic?) (map str) my-max-key))
(def length (comp count str))
(def not-map? (complement map?))
(def nested? #(some coll? %))
(def join #(apply str (interpose % %2)))
(def join-lines (partial join "\n"))
(defn has-atomic? [coll] (some atomic? coll))
(defn diff-key-lengths [key1 key2] (- (length key1) (length key2)))
(defn convert
([thing] (convert -1 thing))
([depth thing]
(defn convert-items []
(defn convert-seq []
(conj []
(map (partial convert (inc depth)) thing)
""))
(defn string-horizontally [[key value]]
(str (tabulate (inc depth))
key
(padding (diff-key-lengths (longest-key thing) key))
" → "
value))
(defn string-vertically [[key value]]
(str (convert (inc depth) key) "\n"
(convert (+ 2 depth) "↓") "\n"
(convert (inc depth) value) "\n"))
(defn convert-kv [[key value]]
(if (nested? [key value])
(string-vertically [key value])
(string-horizontally [key value])))
(cond (atomic? thing)
[(str (tabulate depth) thing)]
(not-map? thing)
(convert-seq)
(map? thing)
(map convert-kv thing)))
(->> (convert-items) flatten join-lines)))
(def sample-input [["the first thing in this nested vector"]
{{"this is a key in a nested map"
"that points to me!!!"}
{"and that entire map points to this map!!!"
"cool!!!"
"but it gets cooler cause..."
"the value's line up!!!"}}])
(->> sample-input convert println)
The terminal output is (psst... the values in a map do line up but I don't think that chrome uses a monospaced font!):