--- Portfile.orig	2017-10-22 08:56:26.000000000 -0500
+++ Portfile	2017-10-22 09:01:30.000000000 -0500
@@ -4,7 +4,7 @@
 PortGroup           github 1.0
 PortGroup           python 1.0
 
-github.setup        tazzben WW 2.1
+github.setup        tazzben WW 2.2
 
 categories          science education
 platforms           darwin
@@ -16,8 +16,8 @@
 
 long_description    In the Spring of 2016, Walstad and Wagner released a paper suggesting that the pretest/posttest delta is insufficient in assessing learning outcomes. However, performing such a disaggregation is time intensive, especially if the questions appear in a different location (or order) on the pre and post test.  WW_out is a command line tool that makes this disaggregation easy. It uses four CSV files to generate outcomes by question and student.
 
-checksums           rmd160  4c400a801d070474106b068f4ba02d15cecb754d \
-                    sha256  53643cc2b0b92a7b5e23ef6f8e9c15f3e566cef448d95c396c80ea2bc54eb3e3
+checksums           rmd160  df9f052fc8245df809bdb65a7a353ab23e845233 \
+                    sha256  4df0ed11e3be9102b2c4c499f7ff0b9f5acdcd29b2f3ad792c3667c8085de6c3
 
 python.default_version  36