Add upstream remote-id annotations using tools by Corentin Chary, bug #406287.

4 files changed, 22 insertions, 19 deletions

diff --git a/sci-libs/scikits/metadata.xml b/sci-libs/scikits/metadata.xml
index e5bc257a5fc9..2741d5bbe5a6 100644
--- a/sci-libs/scikits/metadata.xml
+++ b/sci-libs/scikits/metadata.xml
@@ -1,8 +1,9 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
 <pkgmetadata>
-<herd>sci</herd>
-<longdescription lang="en">
-  Meta package for the scikits. Include a standard example as well.
-</longdescription>
+	<herd>sci</herd>
+	<longdescription lang="en">Meta package for the scikits. Include a standard example as well.</longdescription>
+	<upstream>
+		<remote-id type="pypi">scikits.example</remote-id>
+	</upstream>
 </pkgmetadata>
diff --git a/sci-libs/scikits_image/metadata.xml b/sci-libs/scikits_image/metadata.xml
index 3efece613f9d..003d6c0b34cb 100644
--- a/sci-libs/scikits_image/metadata.xml
+++ b/sci-libs/scikits_image/metadata.xml
@@ -1,11 +1,12 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
 <pkgmetadata>
-<herd>sci</herd>
-<longdescription lang="en">
-  This SciKit (toolkit for SciPy) includes useful image processing
+	<herd>sci</herd>
+	<longdescription lang="en">This SciKit (toolkit for SciPy) includes useful image processing
   algorithms for use with Python and NumPy. While SciPy’s ndimage
   provides low-level manipulation, scikits.image centres around
-  algorithms and applications.
-</longdescription>
+  algorithms and applications.</longdescription>
+	<upstream>
+		<remote-id type="pypi">scikits.image</remote-id>
+	</upstream>
 </pkgmetadata>
diff --git a/sci-libs/scikits_optimization/metadata.xml b/sci-libs/scikits_optimization/metadata.xml
index 4603bd8a9e79..e97cdf515565 100644
--- a/sci-libs/scikits_optimization/metadata.xml
+++ b/sci-libs/scikits_optimization/metadata.xml
@@ -1,8 +1,9 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
 <pkgmetadata>
-<herd>sci</herd>
-<longdescription lang="en">
-  A Python module for numerical optimization.
-</longdescription>
+	<herd>sci</herd>
+	<longdescription lang="en">A Python module for numerical optimization.</longdescription>
+	<upstream>
+		<remote-id type="pypi">scikits.optimization</remote-id>
+	</upstream>
 </pkgmetadata>
diff --git a/sci-libs/scikits_statsmodels/metadata.xml b/sci-libs/scikits_statsmodels/metadata.xml
index 161761b3f0f6..f36eccebd66e 100644
--- a/sci-libs/scikits_statsmodels/metadata.xml
+++ b/sci-libs/scikits_statsmodels/metadata.xml
@@ -1,12 +1,10 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
 <pkgmetadata>
-<herd>sci</herd>
-<longdescription lang="en">
-  Statsmodels is a python package that provides a complement to scipy
+	<herd>sci</herd>
+	<longdescription lang="en">Statsmodels is a python package that provides a complement to scipy
   for statistical computations including descriptive statistics and
   estimation of statistical models.
-
   scikits.statsmodels provides classes and functions for the estimation
   of several categories of statistical models. These currently include
   linear regression models, OLS, GLS, WLS and GLS with AR(p) errors,
@@ -14,6 +12,8 @@
   linear models, and regression with discrete dependent variables,
   Logit, Probit, MNLogit, Poisson, based on maximum likelihood estimators.
   An extensive list of result statistics are avalable for each  estimation
-  problem.
-</longdescription>
+  problem.</longdescription>
+	<upstream>
+		<remote-id type="pypi">scikits.statsmodels</remote-id>
+	</upstream>
 </pkgmetadata>