Adding the GPL license, a README file, an INSTALL file, and a Manifest.in file

.gitignore

+MANIFEST
+*.pyc
+build
+dist
+*.egg-info
+.DS_Store

INSTALL

+RAVEN installation instructions
+===============================
+
+Prerequisites
+-------------
+
+* Python 2.6 or 2.7
+  Should be provided by the distribution.
+
+* python-decorator >= 3.3
+  Should be available in the distribution.
+  
+* argparse >= 1.2.0
+  Should be available in the distribution.
+
+* Numpy >= 1.4.1 and Scipy >= 0.7.2
+  Should be installable either via the distribution packaging system,
+  pip or easy_install.
+
+* LALSuite
+  See https://www.lsc-group.phys.uwm.edu/daswg/docs/howto/lal-install.html
+  for installation instructions. LALSuite must be configured with the
+  --enable-swig-python option.
+
+* HEALPy >= 1.4.1
+  See http://code.google.com/p/healpy/ for installation instructions.
+
+* VOEventLib
+  See http://www.astropython.org/resource/2011/5/VOEventLib for a source tarball,
+  or contact Roy Williams at roy.williams@ligo.org.
+
+
+Installing RAVEN
+----------------
+
+To install from the git repository hosted on LIGO-VCS, use the albert.einstein
+credentials via:
+
+    git clone albert.einstein@ligo-vcs.phys.uwm.edu:/usr/local/git/raven.git
+    cd raven
+    python setup.py build
+    python setup.py install --user
+    python setup.py test
+
+To install system-wide, replace the 'setup.py install' command with
+    sudo python setup.py install

Manifest.in

+include COPYING
+include bin/*

README

+Welcome to RAVEN, the Rapid, on-source VOEvent Coincidence Monitor.
+
+More information can be found at the website:
+   <link to be provided>
+
+To install RAVEN locally:
+   python setup.py install --prefix=/path/to/install/directory
+
+To run the RAVEN unit tests:
+   python setup.py test
+ (This functionality is to come.)
+
+Finally, the most current RAVEN development version is always available from the
+git repository:
+
+   git clone albert.einstein@ligo-vcs.phys.uwm.edu:/usr/local/git/raven.git 

bin/raven_coinc_search_gracedb

@@ -69,7 +69,7 @@ if opts.direction == 'forward':
 	if short_coincs != []:
 		# Produce plots of skymaps and report statistics if coincs exist.
 		from lalinference.bayestar import fits
-		from workflow_helper import directory
+		from raven.workflow import directory
 		arglist = " -o skymap_with_short_triggers.png --colormap=OrRd"
 		for coinc in short_coincs:
 			working = directory(coinc['graceid'])
@@ -105,7 +105,7 @@ if opts.direction == 'forward':
 	if long_coincs != []:
 		# Produce plots of skymaps and report statistics if coincs exist.
 		from lalinference.bayestar import fits
-		from workflow_helper import directory
+		from raven.workflow import directory
 		arglist = " -o skymap_with_long_triggers.png --colormap=OrRd"
 		for coinc in long_coincs:
 			working = directory(coinc['graceid'])