From 118a610454952d703d0006bb037937dc3548fd9c Mon Sep 17 00:00:00 2001
From: Pat Garrity <pfm@garrity.co>
Date: Sun, 23 Jun 2024 21:39:04 -0500
Subject: [PATCH] (patch) Update readme, force build for prior merge.

---
 README.md | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 119e6e5..e1fccc2 100644
--- a/README.md
+++ b/README.md
@@ -7,14 +7,18 @@ Test data generation library for Scala 3. `gs-datagen` provides _composable_
 generator definitions that can be reused across tests.
 
 - [Usage](#usage)
+    - [Dependency](#dependency)
     - [Imports](#imports)
 - [Examples](#examples)
     - [Example: Generate a Random User](#example-generate-a-random-user)
     - [Example: Require Input](#example-require-input)
 - [Supported Generators](#supported-generators)
+- [Donate](#donate)
 
 ## Usage
 
+### Dependency
+
 ```
 object Gs {
   val Datagen: ModuleID =
@@ -28,7 +32,7 @@ The standard way to use `gs-datagen` is to import the entire package, which
 pulls in `Gen[A]`, `Generated[A]` and `Datagen[A, -I]`:
 
 ```scala
-import gs.datagen.v0.*
+import gs.datagen.v0._
 ```
 
 ## Examples