Metadata-Version: 1.1
Name: hdt
Version: 1.0.4rc0
Summary: Read and query HDT document with ease in Python
Home-page: https://github.com/Callidon/pyHDT
Author: Thomas Minier
Author-email: thomas.minier@univ-nantes.fr
License: MIT
Download-URL: https://github.com/Callidon/pyHDT/archive/v1.0.4c.tar.gz
Description-Content-Type: UNKNOWN
Description: pyHDT
        =====
        
        |Build Status| |Documentation Status| |PyPI version|
        
        Read and query HDT document with ease in Python
        
        `Online Documentation <http://pyhdt.readthedocs.io/en/latest>`__
        
        Requirements
        ============
        
        -  `pip <https://pip.pypa.io/en/stable/>`__
        -  **gcc/clang** with **c++11 support**
        -  **Python Development headers** > You should have the ``Python.h``
           header available on your system.
           > For example, for Python 3.6, install the ``python3.6-dev`` package
           on Debian/Ubuntu systems.
        
        Installation
        ============
        
        Installation in a `virtualenv <https://virtualenv.pypa.io/en/stable/>`__
        is **strongly advised!**
        
        Pip install (recommanded)
        -------------------------
        
        ::
        
            pip install hdt
        
        
        Manual installation
        -------------------
        
        ::
        
            git clone https://github.com/Callidon/pyHDT
            cd pyHDT/
            ./install.sh
        
        Getting started
        ===============
        
        .. code:: python
        
            from hdt import HDTDocument
        
             # Load an HDT file. Missing indexes are generated automatically
            document = HDTDocument("test.hdt")
        
            # Display some metadata about the HDT document itself
            print("nb triples: %i" % document.get_total_triples())
            print("nb subjects: %i" % document.get_nb_subjects())
            print("nb predicates: %i" % document.get_nb_predicates())
            print("nb objects: %i" % document.get_nb_objets())
            print("nb shared subject-object: %i" % document.get_nb_shared())
        
            # Fetch all triples that matches { ?s ?p ?o }
            # Use empty strings ("") to indicates variables
            (triples, cardinality) = document.search_triples("", "", "")
        
            print("cardinality of { ?s ?p ?o }: %i" % cardinality)
            for triple in triples:
              print(triple)
        
            # Search also support limit and offset
            (triples, cardinality) = document.search_triples("", "", "", limit=10, offset=100)
            # etc ...
        
        .. |Build Status| image:: https://travis-ci.org/Callidon/pyHDT.svg?branch=master
           :target: https://travis-ci.org/Callidon/pyHDT
        .. |Documentation Status| image:: https://readthedocs.org/projects/pyhdt/badge/?version=latest
           :target: http://pyhdt.readthedocs.io/en/latest/?badge=latest
        .. |PyPI version| image:: https://badge.fury.io/py/hdt.svg
           :target: https://badge.fury.io/py/hdt
        
Keywords: hdt,rdf,semantic web,search
Platform: UNKNOWN
