added RIOS

recipes/rios/meta.yaml

@@ -0,0 +1,37 @@
+{% set version = "1.4.2" %}
+
+package:
+    name: rios
+    version: {{ version }}
+
+source:
+    fn: rios-{{ version }}.tar.gz
+    url: https://bitbucket.org/chchrsc/rios/downloads/rios-{{ version }}.tar.gz
+    md5: 6fa3db26d5c9e6c504ff46f66267e39c
+
+build:
+    number: 0
+    script: python setup.py install
+
+requirements:
+  build:
+    - python
+    - numpy
+    - gdal 2.0.2
+  run:
+    - python
+    - numpy
+    - gdal 2.0.2
+
+test:
+    imports:
+        - rios
+
+about:
+    home: http://rioshome.org/
+    license: GPLv3
+    summary: Raster I/O simplification, a set of Python modules built on top of GDAL to simplify processing raster data, including data with Raster Attribute Tables.
+
+extra:
+    recipe-maintainers:
+        - gillins

recipes/rios/run_test.py

@@ -0,0 +1,24 @@
+#!/usr/bin/env python
+"""
+Main test harness for RIOS. 
+
+Should be run as a main program. It then runs a selection 
+of tests of some capabilities of RIOS. 
+
+"""
+# Set GDAL_DATA. This is done normally done by the activate script,
+# but this doesn't happen in the testing environment
+import os
+if 'LIBRARY_PREFIX' in os.environ:
+    # Windows
+    gdalData = os.path.join(os.environ['LIBRARY_PREFIX'], 'share', 'gdal')
+else:
+    # Linux/OSX
+    gdalData = os.path.join(os.environ['PREFIX'], 'share', 'gdal')
+
+os.environ['GDAL_DATA'] = gdalData
+
+if __name__ == '__main__':
+    # this if is important since some of the tests use the multiprocessing module
+    from rios.riostests import riostestutils
+    riostestutils.testAll()