[123488] trunk/dports/perl/p5-statistics-descriptive/Portfile

[mojca at macports.org]

Revision: 123488
          https://trac.macports.org/changeset/123488
Author:   mojca at macports.org
Date:     2014-08-09 08:03:28 -0700 (Sat, 09 Aug 2014)
Log Message:
-----------
p5-statistics-descriptive: whitespace

Modified Paths:
--------------
    trunk/dports/perl/p5-statistics-descriptive/Portfile

Modified: trunk/dports/perl/p5-statistics-descriptive/Portfile
===================================================================
--- trunk/dports/perl/p5-statistics-descriptive/Portfile	2014-08-09 15:02:14 UTC (rev 123487)
+++ trunk/dports/perl/p5-statistics-descriptive/Portfile	2014-08-09 15:03:28 UTC (rev 123488)
@@ -13,22 +13,21 @@
 supported_archs     noarch
 
 description         basic perl functions providing descriptive statistics
-long_description   \
-    Statistics::Descriptive provides basic functions used in descriptive \
-    statistics. It has an object oriented design and supports two different \
-    types of data storage and calculation objects: sparse and full. With the \
-    sparse method, none of the data is stored and only a few statistical \
-    measures are available. Using the full method, the entire data set is \
-    retained and additional functions are available. \
-    \
-    Whenever a division by zero may occur, the denominator is checked to be \
-    greater than the value \$Statistics::Descriptive::Tolerance, which defaults \
-    to 0.0. You may want to change this value to some small positive value such \
-    as 1e-24 in order to obtain error messages in case of very small \
-    denominators. \
-    \
-    Many of the methods (both Sparse and Full) cache values so that subsequent \
-    calls with the same arguments are faster. \
+long_description    Statistics::Descriptive provides basic functions used in descriptive \
+                    statistics. It has an object oriented design and supports two different \
+                    types of data storage and calculation objects: sparse and full. With the \
+                    sparse method, none of the data is stored and only a few statistical \
+                    measures are available. Using the full method, the entire data set is \
+                    retained and additional functions are available. \
+                    \
+                    Whenever a division by zero may occur, the denominator is checked to be \
+                    greater than the value \$Statistics::Descriptive::Tolerance, which defaults \
+                    to 0.0. You may want to change this value to some small positive value such \
+                    as 1e-24 in order to obtain error messages in case of very small \
+                    denominators. \
+                    \
+                    Many of the methods (both Sparse and Full) cache values so that subsequent \
+                    calls with the same arguments are faster. \
 
 checksums           rmd160  8fcc7c9204505191b8f2aa3767eabc06deefc0af \
                     sha256  d1548ef6ce8ee94b1d4267c4a581df07c32a2c37ab3bfeaca2cd7ccca67a33c8
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