Serialize distribution parameters

Author: kgryte

lib/node_modules/@stdlib/random/base/bernoulli/README.md

@@ -251,7 +251,7 @@ Serializes the pseudorandom number generator as a JSON object.
 
 ```javascript
 var o = bernoulli.toJSON();
-// returns { 'type': 'PRNG', 'name': '...', 'state': {...} }
+// returns { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }
 ```
 
 </section>

lib/node_modules/@stdlib/random/base/bernoulli/docs/repl.txt

@@ -162,7 +162,7 @@
     Examples
     --------
     > var o = {{alias}}.toJSON()
-    { 'type': 'PRNG', 'name': '...', 'state': {...} }
+    { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }
 
     See Also
     --------

lib/node_modules/@stdlib/random/base/bernoulli/lib/factory.js

@@ -186,6 +186,11 @@ function factory() {
 		out.type = 'PRNG';
 		out.name = prng.NAME;
 		out.state = typedarray2json( rand.state );
+		if ( p === void 0 ) {
+			out.params = [];
+		} else {
+			out.params = [ p ];
+		}
 		return out;
 	}
 

lib/node_modules/@stdlib/random/base/bernoulli/test/test.factory.js

@@ -450,6 +450,11 @@ tape( 'attached to the returned function is a method to serialize the generator
 	t.equal( o.name, bernoulli.NAME, 'has property' );
 	t.deepEqual( o.state, typedarray2json( bernoulli.state ), 'has property' );
 
+	bernoulli = factory( 0.5 );
+	o = bernoulli.toJSON();
+
+	t.deepEqual( o.params, [ 0.5 ], 'has property' );
+
 	t.end();
 });