Switch to lgplv3, and bump up version number.

Signed-off-by: Martin Raspaud <martin.raspaud@smhi.se>

README.md

@@ -9,18 +9,21 @@ Pyresample is designed for resampling of remote sensing data and supports resamp
 Several types of resampling are supported including nearest neighbour, gaussian weighting and weighting with a user defined radial function.
 Pyresample works with Numpy arrays including support for masked arrays.
 Support for parallel resampling using multiple processor cores.
-Plotting capablity using Basemap. As of v0.8.0 [https://github.com/storpipfugl/pykdtree pykdtree] can be used to speed up processing.
+Plotting capablity using Basemap. As of v0.8.0 [pykdtree](https://github.com/storpipfugl/pykdtree) can be used to speed up processing.
 
-Pyresample is tested with Python 2.5, 2.6 and 2.7.
+Pyresample is tested with Python 2.6, 2.7, 3.2, 3.3, and 3.4.
 
 Note: For numpy >= 1.6.2 use pyresample >= 0.7.13  
 
-[https://pyresample.readthedocs.org/en/latest/ Documentation]
-[http://code.google.com/p/pyresample/downloads/detail?name=pyresample-1.1.0.tar.gz Latest download]
-Look at http://code.google.com/p/pyresample/ and http://pytroll.org/ for more information.
+[Documentation](https://pyresample.readthedocs.org/en/latest/)
+Look at [pytroll.org](http://pytroll.org/) for more information.
 
 
 ===News===
+  * *2015-02-03*: Pyresample-1.1.3 released. Switch to LGPLv3.
+
+  * *2014-12-17*: Pyresample-1.1.2 released. Fix to allow tests to run on travis.
+
   * *2014-12-10*: Pyresample-1.1.1 released. Wrapping of longitudes and latitudes is now implemented.
 
   * *2013-10-23*: Pyresample-1.1.0 released. Added option for calculating uncertainties for weighted kd-tree resampling. From now on pyresample will adhere to [http://semver.org/ semantic versioning].

pyresample/__init__.py

@@ -1,19 +1,19 @@
 # pyresample, Resampling of remote sensing image data in python
 #
-# Copyright (C) 2010, 2014  Esben S. Nielsen
+# Copyright (C) 2010, 2014, 2015  Esben S. Nielsen
 #
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-#(at your option) any later version.
+# This program is free software: you can redistribute it and/or modify it under
+# the terms of the GNU Lesser General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
+# GNU Lesser General Public License for more details.
 #
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
+# You should have received a copy of the GNU Lesser General Public License along
+# with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 from __future__ import absolute_import
 

pyresample/_multi_proc.py

@@ -1,19 +1,19 @@
-#pyresample, Resampling of remote sensing image data in python
-# 
-#Copyright (C) 2010  Esben S. Nielsen
+# pyresample, Resampling of remote sensing image data in python
 #
-#This program is free software: you can redistribute it and/or modify
-#it under the terms of the GNU General Public License as published by
-#the Free Software Foundation, either version 3 of the License, or
-#(at your option) any later version.
+# Copyright (C) 2010, 2015  Esben S. Nielsen
 #
-#This program is distributed in the hope that it will be useful,
-#but WITHOUT ANY WARRANTY; without even the implied warranty of
-#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#GNU General Public License for more details.
+# This program is free software: you can redistribute it and/or modify it under
+# the terms of the GNU Lesser General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
 #
-#You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License along
+# with this program.  If not, see <http://www.gnu.org/licenses/>.
 
 from __future__ import absolute_import
 
@@ -24,17 +24,17 @@
 
 
 class Scheduler(object):
-    
+
     def __init__(self, ndata, nprocs, chunk=None, schedule='guided'):
-        if not schedule in ['guided','dynamic', 'static']:
+        if not schedule in ['guided', 'dynamic', 'static']:
             raise ValueError('unknown scheduling strategy')
         self._ndata = mp.RawValue(ctypes.c_int, ndata)
         self._start = mp.RawValue(ctypes.c_int, 0)
         self._lock = mp.Lock()
         self._schedule = schedule
         self._nprocs = nprocs
         if schedule == 'guided' or schedule == 'dynamic':
-            min_chunk = ndata // (10*nprocs)
+            min_chunk = ndata // (10 * nprocs)
             if chunk:
                 min_chunk = chunk
             min_chunk = max(min_chunk, 1)
@@ -45,7 +45,7 @@ def __init__(self, ndata, nprocs, chunk=None, schedule='guided'):
                 min_chunk = max(chunk, min_chunk)
             min_chunk = max(min_chunk, 1)
             self._chunk = min_chunk
-            
+
     def __iter__(self):
         while True:
             self._lock.acquire()
@@ -73,6 +73,7 @@ def __iter__(self):
                 self._lock.release()
                 raise StopIteration
 
+
 def shmem_as_ndarray(raw_array):
     _ctypes_to_numpy = {
         ctypes.c_char: np.int8,
@@ -95,4 +96,4 @@ def shmem_as_ndarray(raw_array):
     # and appears to be slower.
     # return np.ctypeslib.as_array(raw_array)
 
-    return np.frombuffer(raw_array, dtype=dtype)
+    return np.frombuffer(raw_array, dtype=dtype)