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The following commit(s) were added to refs/heads/asf-site by this push:
     new e108382  formatting
e108382 is described below

commit e1083826ac8d4b34f08c6bb724a6bfc2dfb0a934
Author: Paul King <[email protected]>
AuthorDate: Fri Feb 28 01:28:36 2025 +1000

    formatting
---
 site/src/site/blog/groovy-text-similarity.adoc          | 7 ++++---
 site/src/site/blog/netbeans.adoc                        | 1 +
 site/src/site/blog/using-groovy-with-apache-wayang.adoc | 5 +++--
 site/src/site/blog/wayang-tensorflow.adoc               | 1 +
 4 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/site/src/site/blog/groovy-text-similarity.adoc 
b/site/src/site/blog/groovy-text-similarity.adoc
index 07d7ee2..0b25363 100644
--- a/site/src/site/blog/groovy-text-similarity.adoc
+++ b/site/src/site/blog/groovy-text-similarity.adoc
@@ -13,12 +13,13 @@ Paul King <paulk-asert|PMC_Member>; James King 
<jakingy|Contributor>
 > [blue]#We won't (directly) even tell you how many letters are in the word,
 > but we'll give hints like:#
 >
-> [blue]#* How close your guess *_sounds_* like the hidden word.
-> * How close your guess is to the *_meaning_* of the hidden word.
-> * Instead of correct and misplaced letters, we'll give you some *_distance
+> * [blue]#How close your guess *_sounds_* like the hidden word.#
+> * [blue]#How close your guess is to the *_meaning_* of the hidden word.#
+> * [blue]#Instead of correct and misplaced letters, we'll give you some 
*_distance
 > and similarity measures_* which will give you clues about how many
 > correct letters you have, whether you have the correct letters in order,
 > and so forth.#
+>
 
 So, we're thinking of a game that is a cross between other games.
 Guessing letters of a word like
diff --git a/site/src/site/blog/netbeans.adoc b/site/src/site/blog/netbeans.adoc
index ee15668..4c88a2c 100644
--- a/site/src/site/blog/netbeans.adoc
+++ b/site/src/site/blog/netbeans.adoc
@@ -5,6 +5,7 @@ Paul King <paulk-asert|PMC_Member>
 :description: This post looks at using NetBeans and Groovy.
 
 > [blue]#_Let's try using the latest Apache NetBeans with Apache Groovy._#
+>
 
 The https://netbeans.apache.org/[Apache NetBeans] project recently
 
https://netbeans.apache.org/front/main/blogs/entry/announce-apache-netbeans-25-released/[announced]
 the release of Apache NetBeans 25. Let's take it for a spin with
diff --git a/site/src/site/blog/using-groovy-with-apache-wayang.adoc 
b/site/src/site/blog/using-groovy-with-apache-wayang.adoc
index 1d00bc5..f3c44a4 100644
--- a/site/src/site/blog/using-groovy-with-apache-wayang.adoc
+++ b/site/src/site/blog/using-groovy-with-apache-wayang.adoc
@@ -8,10 +8,11 @@ Paul King <paulk-asert|PMC_Member>
 :keywords: centroids, data science, groovy, kmeans, records, apache spark, 
apache wayang
 :description: This post looks at using Apache Wayang and Apache Spark with 
Apache Groovy to cluster various Whiskies.
 
-> _In the quest to find the perfect single-malt Scotch whisky,
+> [blue]#_In the quest to find the perfect single-malt Scotch whisky,
 > let's use Apache Wayang's cross-platform data processing and
 > cross-platform machine learning capabilities to cluster
-> related whiskies by their flavor profiles._
+> related whiskies by their flavor profiles._#
+>
 
 image:https://www.apache.org/logos/res/wayang/default.png[wayang 
logo,100,float="right"]
 https://wayang.apache.org/[Apache Wayang] (incubating) is an API
diff --git a/site/src/site/blog/wayang-tensorflow.adoc 
b/site/src/site/blog/wayang-tensorflow.adoc
index c58c077..8cb1d7f 100644
--- a/site/src/site/blog/wayang-tensorflow.adoc
+++ b/site/src/site/blog/wayang-tensorflow.adoc
@@ -17,6 +17,7 @@ https://groovy.apache.org/blog/groovy-oracle23ai[Oracle 23ai 
Vector data type]
 > image:https://www.apache.org/logos/res/wayang/default.png[wayang 
 > logo,100,float="right"]
 > [blue]_Let's look at classifying iris flowers using Apache Wayang
 > and TensorFlow with Groovy_
+>
 
 We'll look at an implementation heavily based on the
 Java test in the Apache Wayang

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