Update version number and include all package data

setup.py

@@ -5,7 +5,7 @@
 
 setup(
   name = 'spotpy',
-  version = '1.5.6',
+  version = '1.5.7',
   description = 'A Statistical Parameter Optimization Tool',
   long_description=open(os.path.join(os.path.dirname(__file__),
                                        "README.rst")).read(),
@@ -14,11 +14,6 @@
   url = 'http://www.uni-giessen.de/cms/faculties/f09/institutes/ilr/hydro/download/spotpy',
   license = 'MIT',
   packages=find_packages(exclude=["tests*", "docs*"]),
-  package_data={
-   'spotpy.examples.hymod_exe': ['*'],
-   'spotpy.examples.hymod_unix': ['*'],
-   'spotpy.examples.hymod_python': ['*']
-   },
   include_package_data = True,
   use_2to3 = True,
   keywords = 'Monte Carlo, MCMC, MLE, SCE-UA, Simulated Annealing, DE-MCz, DREAM, ROPE, Artifical Bee Colony, DDS, PA-DDS, Uncertainty, Calibration, Model, Signatures',

spotpy/__init__.py

@@ -39,4 +39,4 @@
 from . import describe            # Contains some helper functions to describe samplers and set-ups
 from .hydrology import signatures # Quantifies goodness of fit between simulation and evaluation data with hydrological signatures
 
-__version__ = '1.5.6'
+__version__ = '1.5.7'

spotpy/examples/dds/__init__.py

@@ -0,0 +1,31 @@
+# -*- coding: utf-8 -*-
+'''
+Copyright (c) 2015 by Tobias Houska
+This file is part of Statistical Parameter Estimation Tool (SPOTPY).
+
+:author: Tobias Houska
+
+:paper: Houska, T., Kraft, P., Chamorro-Chavez, A. and Breuer, L.: 
+SPOTting Model Parameters Using a Ready-Made Python Package, 
+PLoS ONE, 10(12), e0145180, doi:10.1371/journal.pone.0145180, 2015.
+
+This package enables the comprehensive use of different Bayesian and Heuristic calibration 
+techniques in one Framework. It comes along with an algorithms folder for the 
+sampling and an analyser class for the plotting of results by the sampling.
+
+:dependencies: - Numpy >1.8 (http://www.numpy.org/) 
+               - Pandas >0.13 (optional) (http://pandas.pydata.org/)
+               - Matplotlib >1.4 (optional) (http://matplotlib.org/) 
+               - CMF (optional) (http://fb09-pasig.umwelt.uni-giessen.de:8000/)
+               - mpi4py (optional) (http://mpi4py.scipy.org/)
+               - pathos (optional) (https://pypi.python.org/pypi/pathos/)
+               - sqlite3 (optional) (https://pypi.python.org/pypi/sqlite3/)
+
+               :help: For specific questions, try to use the documentation website at:
+                http://fb09-pasig.umwelt.uni-giessen.de/spotpy/
+
+For general things about parameter optimization techniques have a look at:
+https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/tree/master/
+
+Please cite our paper, if you are using SPOTPY.
+'''

spotpy/examples/hymod_unix/__init__.py

@@ -0,0 +1,31 @@
+# -*- coding: utf-8 -*-
+'''
+Copyright (c) 2015 by Tobias Houska
+This file is part of Statistical Parameter Estimation Tool (SPOTPY).
+
+:author: Tobias Houska
+
+:paper: Houska, T., Kraft, P., Chamorro-Chavez, A. and Breuer, L.: 
+SPOTting Model Parameters Using a Ready-Made Python Package, 
+PLoS ONE, 10(12), e0145180, doi:10.1371/journal.pone.0145180, 2015.
+
+This package enables the comprehensive use of different Bayesian and Heuristic calibration 
+techniques in one Framework. It comes along with an algorithms folder for the 
+sampling and an analyser class for the plotting of results by the sampling.
+
+:dependencies: - Numpy >1.8 (http://www.numpy.org/) 
+               - Pandas >0.13 (optional) (http://pandas.pydata.org/)
+               - Matplotlib >1.4 (optional) (http://matplotlib.org/) 
+               - CMF (optional) (http://fb09-pasig.umwelt.uni-giessen.de:8000/)
+               - mpi4py (optional) (http://mpi4py.scipy.org/)
+               - pathos (optional) (https://pypi.python.org/pypi/pathos/)
+               - sqlite3 (optional) (https://pypi.python.org/pypi/sqlite3/)
+
+               :help: For specific questions, try to use the documentation website at:
+                http://fb09-pasig.umwelt.uni-giessen.de/spotpy/
+
+For general things about parameter optimization techniques have a look at:
+https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/tree/master/
+
+Please cite our paper, if you are using SPOTPY.
+'''