- formatting

Changed files:
    perl-AI-DecisionTree.spec -> 1.25

diff --git a/perl-AI-DecisionTree.spec b/perl-AI-DecisionTree.spec
index 6ab11b89931254f50154fe53fe1118e4507df87d..96bbf9a5be8aead800b251ded76373ee734b1654 100644 (file)
--- a/perl-AI-DecisionTree.spec
+++ b/perl-AI-DecisionTree.spec
@@ -3,8 +3,8 @@
 %bcond_without tests   # do not perform "make test"
 #
 %include       /usr/lib/rpm/macros.perl
-%define        pdir    AI
-%define        pnam    DecisionTree
+%define                pdir    AI
+%define                pnam    DecisionTree
 Summary:       AI::DecisionTree - automatically learns decision trees
 Summary(pl):   AI::DecisionTree - automatyczne uczenie drzew decyzyjnych
 Name:          perl-AI-DecisionTree
@@ -21,9 +21,9 @@ BuildRoot:    %{tmpdir}/%{name}-%{version}-root-%(id -u -n)
 
 %description
 The "AI::DecisionTree" module automatically creates so-called "decision
-trees" to explain a set of training data.  A decision tree is a kind of
+trees" to explain a set of training data. A decision tree is a kind of
 categorizer that use a flowchart-like process for categorizing new
-instances.  For instance, a learned decision tree might look like that
+instances. For instance, a learned decision tree might look like that
 one in documentation, which classifies for the concept "play tennis".
 
 %description -l pl