aboutsummaryrefslogtreecommitdiff
path: root/exercises
diff options
context:
space:
mode:
authorDave Gauer <dave@ratfactor.com>2021-04-04 16:05:44 -0400
committerDave Gauer <dave@ratfactor.com>2021-04-04 16:05:44 -0400
commit38b6de1e7156ad8b92284273f544ab1b8a803b49 (patch)
tree1445885b4164306d1c72ba33e346ac5276100308 /exercises
parentbfa0f08795890d32b949001a50d8ff947d1bda33 (diff)
downloadziglings-38b6de1e7156ad8b92284273f544ab1b8a803b49.tar.gz
ziglings-38b6de1e7156ad8b92284273f544ab1b8a803b49.tar.bz2
ziglings-38b6de1e7156ad8b92284273f544ab1b8a803b49.tar.xz
ziglings-38b6de1e7156ad8b92284273f544ab1b8a803b49.zip
Added epic ex058 - quiz 7
Diffstat (limited to 'exercises')
-rw-r--r--exercises/058_quiz7.zig458
1 files changed, 458 insertions, 0 deletions
diff --git a/exercises/058_quiz7.zig b/exercises/058_quiz7.zig
new file mode 100644
index 0000000..bbbe1a0
--- /dev/null
+++ b/exercises/058_quiz7.zig
@@ -0,0 +1,458 @@
+//
+// We've absorbed a lot of information about the variations of types
+// we can use in Zig. Roughly, in order we have:
+//
+// u8 single item
+// *u8 single-item pointer
+// []u8 slice (size known at runtime)
+// [5]u8 array of 5 u8s
+// [*]u8 many-item pointer (zero or more)
+// enum {a, b} set of unique values a and b
+// error {e, f} set of unique error values e and f
+// struct {y: u8, z: i32} group of values y and z
+// union(enum) {a: u8, b: i32} single value either u8 or i32
+//
+// Values of any of the above types can be assigned as "var" or "const"
+// to allow or disallow changes (mutability) via the assigned name:
+//
+// const a: u8 = 5; // immutable
+// var b: u8 = 5; // mutable
+//
+// We can also make error unions or optional types from any of
+// the above:
+//
+// var a: E!u8 = 5; // can be u8 or error from set E
+// var b: ?u8 = 5; // can be u8 or null
+//
+// Knowing all of this, maybe we can help out a local hermit. He made
+// a little Zig program to help him plan his trips through the woods,
+// but it has some mistakes.
+//
+const print = @import("std").debug.print;
+
+// The grue is a nod to Zork.
+const TripError = error{ Unreachable, EatenByAGrue };
+
+// Let's start with the Places on the map. Each has a name and a
+// distance or difficulty of travel (as judged by the hermit).
+//
+// Note that we declare the places as mutable (var) because we need to
+// assign the paths later. And why is that? Because paths contain
+// pointers to places and assigning them now would create a dependency
+// loop!
+const Place = struct {
+ name: []const u8,
+ paths: []const Path = undefined,
+};
+
+var a = Place{ .name = "Archer's Point" };
+var b = Place{ .name = "Bridge" };
+var c = Place{ .name = "Cottage" };
+var d = Place{ .name = "Dogwood Grove" };
+var e = Place{ .name = "East Pond" };
+var f = Place{ .name = "Fox Pond" };
+
+// The hermit's hand-drawn ASCII map
+// +---------------------------------------------------+
+// | * Archer's Point ~~~~ |
+// | ~~~ ~~~~~~~~ |
+// | ~~~| |~~~~~~~~~~~~ ~~~~~~~ |
+// | Bridge ~~~~~~~~ |
+// | ^ ^ ^ |
+// | ^ ^ / \ |
+// | ^ ^ ^ ^ |_| Cottage |
+// | Dogwood Grove |
+// | ^ <boat> |
+// | ^ ^ ^ ^ ~~~~~~~~~~~~~ ^ ^ |
+// | ^ ~~ East Pond ~~~ |
+// | ^ ^ ^ ~~~~~~~~~~~~~~ |
+// | ~~ ^ |
+// | ^ ~~~ <-- short waterfall |
+// | ^ ~~~~~ |
+// | ~~~~~~~~~~~~~~~~~ |
+// | ~~~~ Fox Pond ~~~~~~~ ^ ^ |
+// | ^ ~~~~~~~~~~~~~~~ ^ ^ |
+// | ~~~~~ |
+// +---------------------------------------------------+
+//
+// We'll be reserving memory in our program based on the number of
+// places on the map. Note that we do not have to specify the type of
+// this value because we don't actually use it in our program once
+// it's compiled! (Don't worry if this doesn't make sense yet.)
+const place_count = 6;
+
+// Now let's create all of the paths between sites. A path goes from
+// one place to another and has a distance.
+const Path = struct {
+ from: *const Place,
+ to: *const Place,
+ dist: u8,
+};
+
+// By the way, if the following code seems like a lot of tedious
+// manual labor, you're right! One of Zig's killer features is letting
+// us write code that runs at compile time to "automate" repetitive
+// code (much like macros in other languages), but we haven't learned
+// how to do that yet!
+const a_paths = [_]Path{
+ Path{
+ .from = &a, // from: Archer's Point
+ .to = &b, // to: Bridge
+ .dist = 2,
+ },
+};
+
+const b_paths = [_]Path{
+ Path{
+ .from = &b, // from: Bridge
+ .to = &a, // to: Archer's Point
+ .dist = 2,
+ },
+ Path{
+ .from = &b, // from: Bridge
+ .to = &d, // to: Dogwood Grove
+ .dist = 1,
+ },
+};
+
+const c_paths = [_]Path{
+ Path{
+ .from = &c, // from: Cottage
+ .to = &d, // to: Dogwood Grove
+ .dist = 3,
+ },
+ Path{
+ .from = &c, // from: Cottage
+ .to = &e, // to: East Pond
+ .dist = 2,
+ },
+};
+
+const d_paths = [_]Path{
+ Path{
+ .from = &d, // from: Dogwood Grove
+ .to = &b, // to: Bridge
+ .dist = 1,
+ },
+ Path{
+ .from = &d, // from: Dogwood Grove
+ .to = &c, // to: Cottage
+ .dist = 3,
+ },
+ Path{
+ .from = &d, // from: Dogwood Grove
+ .to = &f, // to: Fox Pond
+ .dist = 7,
+ },
+};
+
+const e_paths = [_]Path{
+ Path{
+ .from = &e, // from: East Pond
+ .to = &c, // to: Cottage
+ .dist = 2,
+ },
+ Path{
+ .from = &e, // from: East Pond
+ .to = &f, // to: Fox Pond
+ .dist = 1, // (one-way down a short waterfall!)
+ },
+};
+
+const f_paths = [_]Path{
+ Path{
+ .from = &f, // from: Fox Pond
+ .to = &d, // to: Dogwood Grove
+ .dist = 7,
+ },
+};
+
+// Once we've plotted the best course through the woods, we'll make a
+// "trip" out of it. A trip is a series of Places connected by Paths.
+// We use a TripItem union to allow both Places and Paths to be in the
+// same array.
+const TripItem = union(enum) {
+ place: *const Place,
+ path: *const Path,
+
+ // This is a little helper function to print the two different
+ // types of item correctly. Note how this "print()" is namespaced
+ // to the TripItem union and doesn't interfere with calling the
+ // "print()" from the standard library we imported at the top of
+ // this program.
+ fn print(self: TripItem) void {
+ switch (self) {
+ // Oops! The hermit forgot how to capture the union values
+ // in a switch statement. Please capture both values as
+ // 'p' so the print statements work!
+ .place => print("{s}", .{p.name}),
+ .path => print("--{}->", .{p.dist}),
+ }
+ }
+};
+
+// The Hermit's Notebook is where all the magic happens. A notebook
+// entry is a Place discovered on the map along with the Path taken to
+// get there and the distance to reach it from the start point. If we
+// find a better Path to reach a Place (lower distance), we update the
+// entry. Entries also serve as a "todo" list which is how we keep
+// track of which paths to explore next.
+const NotebookEntry = struct {
+ place: *const Place,
+ coming_from: ?*const Place,
+ via_path: ?*const Path,
+ dist_to_reach: u16,
+};
+
+// +------------------------------------------------+
+// | ~ Hermit's Notebook ~ |
+// +---+----------------+----------------+----------+
+// | | Place | From | Distance |
+// +---+----------------+----------------+----------+
+// | 0 | Archer's Point | null | 0 |
+// | 1 | Bridge | Archer's Point | 2 | < next_entry
+// | 2 | Dogwood Grove | Bridge | 1 |
+// | 3 | | | | < end_of_entries
+// | ... |
+// +---+----------------+----------------+----------+
+//
+const HermitsNotebook = struct {
+ // Remember the array repetition operator `**`? It is no mere
+ // novelty, it's also a great way to assign multiple items in an
+ // array without having to list them one by one. Here we use it to
+ // initialize an array with null values.
+ entries: [place_count]?NotebookEntry = .{null} ** place_count,
+
+ // The next entry keeps track of where we are in our "todo" list.
+ next_entry: u8 = 0,
+
+ // Mark the start of empty space in the notebook.
+ end_of_entries: u8 = 0,
+
+ // We'll often want to find an entry by Place. If one is not
+ // found, we return null.
+ fn getEntry(self: *HermitsNotebook, place: *const Place) ?*NotebookEntry {
+ for (self.entries) |*entry, i| {
+ if (i >= self.end_of_entries) break;
+
+ // Here's where the hermit got stuck. We need to return
+ // an optional pointer to a NotebookEntry.
+ //
+ // What we have with "entry" is the opposite: a pointer to
+ // an optional NotebookEntry!
+ //
+ // To get one from the other, we need to dereference
+ // "entry" (with .*) and get the non-null value from the
+ // optional (with .?) and return the address of that. The
+ // if statement provides some clues about how the
+ // dereference and optional value "unwrapping" look
+ // together. Remember that you return the address with the
+ // "&" operator.
+ if (place == entry.*.?.place) return entry;
+ // Try to make your answer this long:__________;
+ }
+ return null;
+ }
+
+ // The checkNote() method is the beating heart of the magical
+ // notebook. Given a new note in the form of a NotebookEntry
+ // struct, we check to see if we already have an entry for the
+ // note's Place.
+ //
+ // If we DON'T, we'll add the entry to the end of the notebook
+ // along with the Path taken and distance.
+ //
+ // If we DO, we check to see if the path is "better" (shorter
+ // distance) than the one we'd noted before. If it is, we
+ // overwrite the old entry with the new one.
+ fn checkNote(self: *HermitsNotebook, note: NotebookEntry) void {
+ var existing_entry = self.getEntry(note.place);
+
+ if (existing_entry == null) {
+ self.entries[self.end_of_entries] = note;
+ self.end_of_entries += 1;
+ } else if (note.dist_to_reach < existing_entry.?.dist_to_reach) {
+ existing_entry.?.* = note;
+ }
+ }
+
+ // The next two methods allow us to use the notebook as a "todo"
+ // list.
+ fn hasNextEntry(self: *HermitsNotebook) bool {
+ return self.next_entry < self.end_of_entries;
+ }
+
+ fn getNextEntry(self: *HermitsNotebook) *const NotebookEntry {
+ defer self.next_entry += 1; // Increment after getting entry
+ return &self.entries[self.next_entry].?;
+ }
+
+ // After we've completed our search of the map, we'll have
+ // computed the shortest Path to every Place. To collect the
+ // complete trip from the start to the destination, we need to
+ // walk backwards from the destination's notebook entry, following
+ // the coming_from pointers back to the start. What we end up with
+ // is an array of TripItems with our trip in reverse order.
+ //
+ // We need to take the trip array as a parameter because we want
+ // the main() function to "own" the array memory. What do you
+ // suppose could happen if we allocated the array in this
+ // function's stack frame (the space allocated for a function's
+ // "local" data) and returned a pointer or slice to it?
+ //
+ // Looks like the hermit forgot something in the return value of
+ // this function. What could that be?
+ fn getTripTo(self: *HermitsNotebook, trip: []?TripItem, dest: *Place) void {
+ // We start at the destination entry.
+ const destination_entry = self.getEntry(dest);
+
+ // This function needs to return an error if the requested
+ // destination was never reached. (This can't actually happen
+ // in our map since every Place is reachable by every other
+ // Place.)
+ if (destination_entry == null) {
+ return TripError.Unreachable;
+ }
+
+ // Variables hold the entry we're currently examining and an
+ // index to keep track of where we're appending trip items.
+ var current_entry = destination_entry.?;
+ var i: u8 = 0;
+
+ // At the end of each looping, a continue expression increments
+ // our index. Can you see why we need to increment by two?
+ while (true) : (i += 2) {
+ trip[i] = TripItem{ .place = current_entry.place };
+
+ // An entry "coming from" nowhere means we've reached the
+ // start, so we're done.
+ if (current_entry.coming_from == null) break;
+
+ // Otherwise, entries have a path.
+ trip[i + 1] = TripItem{ .path = current_entry.via_path.? };
+
+ // Now we follow the entry we're "coming from". If we
+ // aren't able to find the entry we're "coming from" by
+ // Place, something has gone horribly wrong with our
+ // program! (This really shouldn't ever happen. Have you
+ // checked for grues?)
+ const previous_entry = self.getEntry(current_entry.coming_from.?);
+ if (previous_entry == null) return TripError.EatenByAGrue;
+ current_entry = previous_entry.?;
+ }
+ }
+};
+
+pub fn main() void {
+ // Here's where the hermit decides where he would like to go. Once
+ // you get the program working, try some different Places on the
+ // map!
+ const start = &a; // Archer's Point
+ const destination = &f; // Fox Pond
+
+ // Store each Path array as a slice in each Place. As mentioned
+ // above, we needed to delay making these references to avoid
+ // creating a dependency loop when the compiler is trying to
+ // figure out how to allocate space for each item.
+ a.paths = a_paths[0..];
+ b.paths = b_paths[0..];
+ c.paths = c_paths[0..];
+ d.paths = d_paths[0..];
+ e.paths = e_paths[0..];
+ f.paths = f_paths[0..];
+
+ // Now we create an instance of the notebook and add the first
+ // "start" entry. Note the null values. Read the comments for the
+ // checkNote() method above to see how this entry gets added to
+ // the notebook.
+ var notebook = HermitsNotebook{};
+ var working_note = NotebookEntry{
+ .place = start,
+ .coming_from = null,
+ .via_path = null,
+ .dist_to_reach = 0,
+ };
+ notebook.checkNote(working_note);
+
+ // Get the next entry from the notebook (the first being the
+ // "start" entry we just added) until we run out, at which point
+ // we'll have checked every reachable Place.
+ while (notebook.hasNextEntry()) {
+ var place_entry = notebook.getNextEntry();
+
+ // For every Path that leads FROM the current Place, create a
+ // new note (in the form of a NotebookEntry) with the
+ // destination Place and the total distance from the start to
+ // reach that place. Again, read the comments for the
+ // checkNote() method to see how this works.
+ for (place_entry.place.paths) |*path| {
+ working_note = NotebookEntry{
+ .place = path.to,
+ .coming_from = place_entry.place,
+ .via_path = path,
+ .dist_to_reach = place_entry.dist_to_reach + path.dist,
+ };
+ notebook.checkNote(working_note);
+ }
+ }
+
+ // Once the loop above is complete, we've calculated the shortest
+ // path to every reachable Place! What we need to do now is set
+ // aside memory for the trip and have the hermit's notebook fill
+ // in the trip from the destination back to the path. Note that
+ // this is the first time we've actually used the destination!
+ var trip = [_]?TripItem{null} ** (place_count * 2);
+
+ notebook.getTripTo(trip[0..], destination) catch |err| {
+ print("Oh no! {}\n", .{err});
+ return;
+ };
+
+ // Print the trip with a little helper function below.
+ printTrip(trip[0..]);
+}
+
+// Remember that trips will be a series of alternating TripItems
+// containing a Place or Path from the destination back to the start.
+// The remaining space in the trip array will contain null values, so
+// we need to loop through the items in reverse, skipping nulls, until
+// we reach the destination at the front of the array.
+fn printTrip(trip: []?TripItem) void {
+ var i: u8 = @intCast(u8, trip.len); // convert usize length
+
+ while (i > 0) {
+ i -= 1;
+ if (trip[i] == null) continue;
+ trip[i].?.print();
+ }
+
+ print("\n", .{});
+}
+
+// Going deeper:
+//
+// In computer science terms, our map places are "nodes" or "vertices" and
+// the paths are "edges". Together, they form a "weighted, directed
+// graph". It is "weighted" because each path has a distance (also
+// known as a "cost"). It is "directed" because each path goes FROM
+// one place TO another place (undirected graphs allow you to travel
+// on an edge in either direction).
+//
+// Since we append new notebook entries at the end of the list and
+// then explore each sequentially from the beginning (like a "todo"
+// list), we are treating the notebook as a "First In, First Out"
+// (FIFO) queue.
+//
+// Since we examine all closest paths first before trying further ones
+// (thanks to the "todo" queue), we are performing a "Breadth-First
+// Search" (BFS). By tracking "lowest cost" paths, we can also say
+// that we're performing a "least-cost search".
+//
+// Even more specifically, the Hermit's Notebook most closely
+// resembles the Shortest Path Faster Algorithm (SPFA), attributed to
+// Edward F. Moore. By replacing our simple FIFO queue with a
+// "priority queue", we would basically have Dijkstra's algorithm. A
+// priority queue retrieves items sorted by "weight" (in our case, it
+// would keep the paths with the shortest distance at the front of the
+// queue). Dijkstra's algorithm is more efficient because longer paths
+// can be eliminated more quickly. (Work it out on paper to see why!)