From 110eebaf15768d31d26be3fa52abc8fc25f8488f Mon Sep 17 00:00:00 2001
From: Carlo Zancanaro <carlo@zancanaro.id.au>
Date: Mon, 1 Jun 2015 16:40:53 +1000
Subject: Add some docs to the Generator interface

---
 .../java/au/id/zancanaro/javacheck/Generator.java  | 89 +++++++++++++++++++++-
 1 file changed, 87 insertions(+), 2 deletions(-)

diff --git a/src/main/java/au/id/zancanaro/javacheck/Generator.java b/src/main/java/au/id/zancanaro/javacheck/Generator.java
index 2d2e556..4b9113c 100644
--- a/src/main/java/au/id/zancanaro/javacheck/Generator.java
+++ b/src/main/java/au/id/zancanaro/javacheck/Generator.java
@@ -4,13 +4,62 @@ import java.util.List;
 import java.util.Random;
 import java.util.function.Function;
 
+/**
+ * Generators are a way of producing random objects and their associated shrink
+ * trees in a controlled and deterministic way.
+ *
+ * A generator must implement one method: {@link #generate(Random, int)}. The
+ * {@link RoseTree} it produces defines both the value to be returned, as well
+ * as the shrink tree for that value.
+ *
+ * Generators form a "monad", and hence have the {@link #map(Function)} and
+ * {@link #flatMap(Function)} methods for composition. The helper methods {@link
+ * #pure(Object)}, {@link #tuple(Generator[])} and {@link #list(int, Generator)}
+ * allow for composition at a lower level than the monadic actions..
+ *
+ * @param <T> The type generated by this generator.
+ */
 public interface Generator<T> {
+    /**
+     * Return a {@link RoseTree} containing a new random value of the required
+     * type, as well as its associated shrink tree.
+     *
+     * Generators also have an abstract notion of "size". Represented by an
+     * integer, generators should use this as a guide for how large an object to
+     * generate. There is no specific meaning for this value, so the precise
+     * interpretation will depend on the specifics of the generator.
+     *
+     * @param random The random source for generation purposes
+     * @param size   An integer specifying how "big" a thing to produce
+     * @return The {@link RoseTree} specifying the generated thing and its
+     * shrink tree
+     */
     RoseTree<T> generate(Random random, int size);
 
+    /**
+     * A generator which simply generates the provided value. Does not shrink.
+     *
+     * @param value The value to generate
+     * @param <T>   The type of the generated value
+     * @return A {@link Generator} which generates the provided value
+     */
     static <T> Generator<T> pure(T value) {
         return (random, size) -> RoseTree.pure(value);
     }
 
+    /**
+     * A generator which generates a {@link List}, with each element taken from
+     * its corresponding generator. (That is: return[i] =
+     * generators[i].generate(...).)
+     *
+     * Shrinking for this type involves attempting to shrink each subtree in
+     * turn, recursively.
+     *
+     * @param generators The generators to use for each term in the generated
+     *                   result
+     * @param <T>        The parameter type of the generated {@link List}
+     * @return A {@link Generator} returning a {@link List}
+     */
     @SafeVarargs
     static <T> Generator<List<T>> tuple(Generator<T>... generators) {
         return (random, size) -> {
@@ -24,21 +73,57 @@ public interface Generator<T> {
         };
     }
 
-    static <T> Generator<List<T>> list(int count, Generator<T> gen) {
+    /**
+     * A generator which generates a {@link List} of length count, with each
+     * element taken from the provided generator.
+     *
+     * Shrinking for this type involves attempting to remove terms and shrink
+     * each subtree in turn, recursively. (If the length must remain fixed then
+     * the {@link RoseTree} produced by this generator should be filtered with
+     * {@link RoseTree#filter(java.util.function.Predicate)}.
+     *
+     * @param count     The length of the list to generate
+     * @param generator The generator to use for each term in the generated
+     *                  result
+     * @param <T>       The parameter type of the generated {@link List}
+     * @return A {@link Generator} returning a {@link List}
+     */
+    static <T> Generator<List<T>> list(int count, Generator<T> generator) {
         return (random, size) -> {
             @SuppressWarnings("unchecked")
             RoseTree<T>[] result = (RoseTree<T>[]) new RoseTree[count];
             for (int i = 0; i < count; ++i) {
-                result[i] = gen.generate(random, size);
+                result[i] = generator.generate(random, size);
             }
             return RoseTree.shrink(Function.identity(), result);
         };
     }
 
+    /**
+     * Transform the result of a generator by passing it through a function.
+     *
+     * Maps all values in the shrink of this through f, as well.
+     *
+     * @param f   The transformation function
+     * @param <R> The result of the transformation
+     * @return A new generator resulting from mapping f over this
+     */
     default <R> Generator<R> map(Function<T, R> f) {
         return (random, size) -> this.generate(random, size).map(f);
     }
 
+    /**
+     * Produce a new generator relying on the value generated by this generator
+     *
+     * Shrinking is a bit hard to predict under {@link #flatMap}, as it will
+     * first attempt to shrink this, resulting in the re-evaluation of action,
+     * and hence the re-generation of the subtree.
+     *
+     * @param action A function to produce the new generator
+     * @param <R>    The type of the returned generator
+     * @return A new generator resulting from calling the provided action on the
+     * result of this
+     */
     default <R> Generator<R> flatMap(Function<T, Generator<R>> action) {
         return (random, size) -> RoseTree.join(this.generate(random, size).map(action).map(g -> g.generate(random, size)));
     }
-- 
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