From 1de40d1b5ab74a1f263e7c4306ebccd0fef73c1a Mon Sep 17 00:00:00 2001
From: Sharlatan Hellseher <sharlatanus@gmail.com>
Date: Thu, 6 Jun 2024 23:15:26 +0100
Subject: gnu: eye: Sort alphabetically.

* gnu/packages/astronomy.scm (eye): Sort alphabetically.

Change-Id: Ifd2af4f8101f95072339e8f801361bdfd57a539c
---
 gnu/packages/astronomy.scm | 60 +++++++++++++++++++++++-----------------------
 1 file changed, 30 insertions(+), 30 deletions(-)

diff --git a/gnu/packages/astronomy.scm b/gnu/packages/astronomy.scm
index b1f06edda8..e5b4f84d4b 100644
--- a/gnu/packages/astronomy.scm
+++ b/gnu/packages/astronomy.scm
@@ -601,6 +601,36 @@ (define-public erfa
 International Astronomical Union}.")
     (license license:bsd-3)))
 
+(define-public eye
+  (package
+    (name "eye")
+    (version "1.4.1")
+    (source
+     (origin
+       (method git-fetch)
+       (uri (git-reference
+             (url "https://github.com/astromatic/eye")
+             (commit version)))
+       (file-name (git-file-name name version))
+       (sha256
+        (base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
+    (build-system gnu-build-system)
+    (arguments
+     (list
+      #:configure-flags
+      #~(list "CPPFLAGS=-fcommon")))    ; fix build with GCC 10
+    (home-page "https://www.astromatic.net/software/eye")
+    (synopsis "Small image feature detector using machine learning")
+    (description
+     "In @acronym{EyE, Enhance Your Extraction} an artificial neural network
+connected to pixels of a moving window (@dfn{retina}) is trained to associate
+these input stimuli to the corresponding response in one or several output
+image(s).  The resulting filter can be loaded in SExtractor to operate
+complex, wildly non-linear filters on astronomical images.  Typical
+applications of EyE include adaptive filtering, feature detection and cosmetic
+corrections.")
+    (license license:cecill)))
+
 (define-public python-aplpy
   (package
     (name "python-aplpy")
@@ -1001,36 +1031,6 @@ (define-public ginga-qt5
        (prepend python-pyqt)))
     (synopsis "Qt5 image viewer build based on python-ginga library")))
 
-(define-public eye
-  (package
-    (name "eye")
-    (version "1.4.1")
-    (source
-     (origin
-       (method git-fetch)
-       (uri (git-reference
-             (url "https://github.com/astromatic/eye")
-             (commit version)))
-       (file-name (git-file-name name version))
-       (sha256
-        (base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
-    (build-system gnu-build-system)
-    (arguments
-     (list
-      #:configure-flags
-      #~(list "CPPFLAGS=-fcommon")))    ; fix build with GCC 10
-    (home-page "https://www.astromatic.net/software/eye")
-    (synopsis "Small image feature detector using machine learning")
-    (description
-     "In @acronym{EyE, Enhance Your Extraction} an artificial neural network
-connected to pixels of a moving window (@dfn{retina}) is trained to associate
-these input stimuli to the corresponding response in one or several output
-image(s).  The resulting filter can be loaded in SExtractor to operate
-complex, wildly non-linear filters on astronomical images.  Typical
-applications of EyE include adaptive filtering, feature detection and cosmetic
-corrections.")
-    (license license:cecill)))
-
 (define-public wcslib
   (package
     (name "wcslib")
-- 
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