From 86b2f04afd4a87572b6a1304dc0cfe8cf7752794 Mon Sep 17 00:00:00 2001
From: Raffi Khatchadourian <khatchad@hunter.cuny.edu>
Date: Fri, 1 Nov 2024 17:45:39 -0400
Subject: [PATCH] Format.

---
 edu.cuny.hunter.hybridize.updatesite/site.xml | 20 +++++++++----------
 1 file changed, 9 insertions(+), 11 deletions(-)

diff --git a/edu.cuny.hunter.hybridize.updatesite/site.xml b/edu.cuny.hunter.hybridize.updatesite/site.xml
index 46ed30b8..ff96f092 100644
--- a/edu.cuny.hunter.hybridize.updatesite/site.xml
+++ b/edu.cuny.hunter.hybridize.updatesite/site.xml
@@ -1,14 +1,12 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <site>
-   <description name="Hybridize Functions Refactoring Update Site" url="https://raw.githubusercontent.com/ponder-lab/Hybridize-Functions-Refactoring/main/edu.cuny.hunter.hybridize.updatesite">
-      Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
-   </description>
-   <feature url="features/edu.cuny.hunter.hybridize.feature_1.2.0.202411011739.jar" id="edu.cuny.hunter.hybridize.feature" version="1.2.0.202411011739">
-      <category name="edu.cuny.hunter.hybridize.category"/>
-   </feature>
-   <category-def name="edu.cuny.hunter.hybridize.category" label="Hybridization Refactorings">
-      <description>
-         Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
-      </description>
-   </category-def>
+  <description name="Hybridize Functions Refactoring Update Site" url="https://raw.githubusercontent.com/ponder-lab/Hybridize-Functions-Refactoring/main/edu.cuny.hunter.hybridize.updatesite"> Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
+  </description>
+  <feature url="features/edu.cuny.hunter.hybridize.feature_1.2.0.202411011739.jar" id="edu.cuny.hunter.hybridize.feature" version="1.2.0.202411011739">
+    <category name="edu.cuny.hunter.hybridize.category" />
+  </feature>
+  <category-def name="edu.cuny.hunter.hybridize.category" label="Hybridization Refactorings">
+    <description> Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
+    </description>
+  </category-def>
 </site>