From 8e01e9d6c8b9235eb8dc1cf882f5736e26db5240 Mon Sep 17 00:00:00 2001
From: Pat Garrity <pfm@garrity.co>
Date: Mon, 24 Jun 2024 02:44:52 +0000
Subject: [PATCH] (patch) Update readme, force build for prior merge. (#4)

Reviewed-on: https://git.garrity.co/garrity-software/gs-datagen/pulls/4
---
 .scalafmt.conf | 2 +-
 README.md      | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/.scalafmt.conf b/.scalafmt.conf
index 9c7929b..7464e8d 100644
--- a/.scalafmt.conf
+++ b/.scalafmt.conf
@@ -1,5 +1,5 @@
 // See: https://github.com/scalameta/scalafmt/tags for the latest tags.
-version = 3.8.1
+version = 3.8.2
 runner.dialect = scala3
 maxColumn = 80
 
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