Metadata-Version: 2.1
Name: TCRnumba
Version: 0.1.7
Summary: some description
Home-page: https://github.com/Paul44444/capybaras_test
Author: Paul
Author-email: richtepp@physik.hu-berlin.de
License: BSD 2-clause
Description: # Installation
        To install on Linux type into the commandline:
            
            pip install TCRnumba
        
        It requires CUDA and is not yet tested for MacOS or Windows.
        
        # Usage
        In Python you can import
        
            import TCRnumba
        
        Then, test the script, by running the additional commands  
        
            import TCRnumba.graph_numba as gn
            import TCRnumba.convert_pure as cp
            adjacency_sparse = gn.adjacency_matrix(['ABC', 'DEF', 'EFG', 'ABC', 'ABD', 'EEE', 'EEF', 'EFF', 'GGE', 'GAS'], N_part=2, len_xy=5, direct_output=True)
            cp.convert_pure(adjacency_sparse, 2, 5)
        
        # Use SONIA to create files
            sonia-generate --humanTRB -n 1000000 --pre -o pre_example.txt
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
