[104679] trunk/dports/science/EGSimulation/Portfile

ryandesign at macports.org ryandesign at macports.org
Sun Mar 31 03:28:43 PDT 2013


Revision: 104679
          https://trac.macports.org/changeset/104679
Author:   ryandesign at macports.org
Date:     2013-03-31 03:28:43 -0700 (Sun, 31 Mar 2013)
Log Message:
-----------
EGSimulation: update to 1.1 (#38587)

Modified Paths:
--------------
    trunk/dports/science/EGSimulation/Portfile

Modified: trunk/dports/science/EGSimulation/Portfile
===================================================================
--- trunk/dports/science/EGSimulation/Portfile	2013-03-31 09:03:46 UTC (rev 104678)
+++ trunk/dports/science/EGSimulation/Portfile	2013-03-31 10:28:43 UTC (rev 104679)
@@ -5,8 +5,8 @@
 PortGroup           github 1.0
 PortGroup           python 1.0
 
-github.setup        tazzben EGSimulation 1.0
-github.project      EconScripts
+github.setup        tazzben EconScripts 1.1
+name                EGSimulation
 categories          science
 platforms           darwin
 maintainers         ad.wsu.edu:tazz_ben
@@ -15,13 +15,20 @@
 
 description         Simulate the Ellison & Glaeser statistic using randomness alone
 
-long_description    By using a simulation of firm sizes (using a lognormal distribution) and specified geographic regions, standard deviations and employee head count, we can compute the critical regions for the Ellison & Glaeser statistic. In the process, it also calculates herfindahl values and provides critical regions.
+long_description    By using a simulation of firm sizes (using a lognormal \
+                    distribution) and specified geographic regions, standard \
+                    deviations and employee head count, we can compute the \
+                    critical regions for the Ellison & Glaeser statistic. In \
+                    the process, it also calculates herfindahl values and \
+                    provides critical regions. You can also use Françoise \
+                    Maurel and Béatrice Sédillot (1999)'s specification for \
+                    both G and gamma.
 
 homepage            ${github.homepage}/tree/master/Simulations/Python/EG%20Statistic
-github.tarball_from downloads
+distname            ${name}-${version}
 
-checksums           rmd160  5dcd5d51188a9fa6e550383fbc57bf655119a0ed \
-                    sha256  2a3fcdbacee642ef701561ea6664208a427f453a09bc39be0a28710d1a6dbff4
+checksums           rmd160  04ccfd6aef32e323145116909ce5a89eec76018c \
+                    sha256  6ee0bac77adaf1653a07b2ec6cafd53a2c1c5d19bb1092644e1fdee4094fb17b
 
 python.versions     27
 
@@ -30,7 +37,3 @@
                     port:py${python.version}-scipy
 
 python.link_binaries_suffix
-
-livecheck.type      regex
-livecheck.url       ${github.homepage}/downloads
-livecheck.regex     ${name}-(\[0-9.\]+)${extract.suffix}
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