working full_feature_vector() commit

ElMD/ElMD.py

@@ -23,7 +23,7 @@
 __copyright__ = "2019, Cameron Hargreaves"
 __credits__ = ["https://github.com/Zapaan", "Loïc Séguin-C. <[email protected]>", "https://github.com/Bowserinator/"]
 __license__ = "GPL"
-__version__ = "0.4.16"
+__version__ = "0.4.20"
 __maintainer__ = "Cameron Hargreaves"
 
 '''

ElMD/__init__.py

@@ -1,2 +1,3 @@
 """Implementation of Element movers distance for chemical similarity compositions."""
-__version__ = "0.4.15"
+__version__ = "0.4.20"
+from ElMD.ElMD import EMD, ElMD 

ElMD/test_ElMD.py

@@ -1,7 +1,7 @@
 """Basic tests taken from docs (assuming that docs are correct)."""
 from numpy.testing import assert_almost_equal, assert_allclose
 
-from ElMD.ElMD import ElMD
+from ElMD import ElMD
 
 def test_ElMD():
     x = ElMD("CaTiO3")

setup.py

@@ -3,13 +3,13 @@
 setup(
   name = 'ElMD',        
   packages = ['ElMD'],  
-  version = '0.4.17',
+  version = '0.4.20',
   license='GPL3',       
   description = 'An implementation of the Element movers distance for chemical similarity of ionic compositions',  
   author = 'Cameron Hagreaves',            
   author_email = '[email protected]', 
   url = 'https://github.com/lrcfmd/ElMD/',   
-  download_url = 'https://github.com/lrcfmd/ElMD/archive/v0.4.17.tar.gz',    
+  download_url = 'https://github.com/lrcfmd/ElMD/archive/v0.4.20.tar.gz',    
   keywords = ['ChemInformatics', 'Materials Science', 'Machine Learning', 'Materials Representation'],  
   package_data={"elementFeatures": ["el_lookup/*.json"]}, 
   include_package_data=True,