comparison setup.py @ 68:cab8a215f9a1 tip

Minor

 from distutils.core import setup
 setup(
     name = "pyCSalgos",
-    packages = ["pyCSalgos","pyCSalgos/BP","pyCSalgos/GAP","pyCSalgos/NESTA","pyCSalgos/OMP","pyCSalgos/TST","pyCSalgos/SL0"],
-    version = "1.0.0",
+    packages = ["pyCSalgos","pyCSalgos/ABS","pyCSalgos/BP","pyCSalgos/GAP","pyCSalgos/NESTA","pyCSalgos/OMP","pyCSalgos/TST","pyCSalgos/SL0"],
+    version = "1.1.0",
     description = "Python Compressed Sensing algorithms",
     author = "Nicolae Cleju",
     author_email = "[e-mail]",
-    url = 'https://code.soundsoftware.ac.uk/projects/avssrec',
+    url = 'https://code.soundsoftware.ac.uk/projects/pycsalgos',
     classifiers = [
         "Programming Language :: Python",
         "Development Status :: 4 - Beta",
         "Environment :: Other Environment",
         "Intended Audience :: Developers",

         ],
     long_description = """\
 Python Compressed Sensing algorithms
 -------------------------------------
 
-Python implementation of various Compressed Sensing algorithms originally implemented in Matlab.
+Python implementation of various Compressed Sensing algorithms, some of them originally implemented in Matlab.
+Algorithms implemented:
+- l1 minimization from l1magic
+- Orthogonal Matching Pursuit
+- Smoothed L0
+- Greedy Analysis Pursuit
+- NESTA
+- Two Stage Thresholding
+- Analysis-By-Synthesis (my paper)
 
+Not thoroughly tested, but I use them for my research. Use at own risk. 
 """
 )