def test_join_binary(self):
clan1 = Set(Set([Couplet(1, 'one')]))
clan2 = Set(Set([Couplet(2, 'two')]))
answer = Set(Set([Couplet(1, 'one'), Couplet(2, 'two')]))
joined = join(clan1, clan2)
# data is unordered so don't use equality, use symmetric difference
self.assertEqual(0, len(answer.data ^ joined.data))
def test_join_binary(self):
clan1 = Set(Set([Couplet(1, 'one')]))
clan2 = Set(Set([Couplet(2, 'two')]))
answer = Set(Set([Couplet(1, 'one'), Couplet(2, 'two')]))
joined = join(clan1, clan2)
# data is unordered so don't use equality, use symmetric difference
self.assertEqual(0, len(answer.data ^ joined.data))
def test_join_quaternary(self):
clan1 = Set(Set([Couplet(1, 'one')]))
clan2 = Set(Set([Couplet(2, 'two')]))
clan3 = Set(Set([Couplet(3, 'three')]))
clan4 = Set(Set([Couplet(4, 'four')]))
answer = Set(Set(Couplet(1, 'one'), Couplet(2, 'two'), Couplet(3, 'three'),
Couplet(4, 'four')))
joined = join(clan1, clan2, clan3, clan4)
# data is unordered so don't use equality, use symmetric difference
self.assertEqual(0, len(answer.data ^ joined.data))
def test_join_quaternary(self):
clan1 = Set(Set([Couplet(1, 'one')]))
clan2 = Set(Set([Couplet(2, 'two')]))
clan3 = Set(Set([Couplet(3, 'three')]))
clan4 = Set(Set([Couplet(4, 'four')]))
answer = Set(
Set(Couplet(1, 'one'), Couplet(2, 'two'), Couplet(3, 'three'),
Couplet(4, 'four')))
joined = join(clan1, clan2, clan3, clan4)
# data is unordered so don't use equality, use symmetric difference
self.assertEqual(0, len(answer.data ^ joined.data))
# Data Algebra -------------------------------------------------------------------------------------
# Import the example graph as data algebra MathObject.
graph_algebra = import_graph(io.StringIO(sample_graph), rdf_format='turtle')
if print_examples:
print('Input graph (as MathObject):', graph_algebra)
# Query the MathObject graph, retrieving the id, name and favorite MathObject of all engineers who
# have all three.
start = time()
engineers_algebra = join(
triple_match(graph_algebra, '?eng', rdflib.URIRef('rdf:name'), '?name'),
triple_match(graph_algebra, '?eng', rdflib.URIRef('rdf:type'), rdflib.URIRef('cat:engineer')),
triple_match(graph_algebra, '?eng', rdflib.URIRef('fav:mathobject'), '?fav')
)
elapsed_algebra = time() - start
engineers_algebra_json = io.StringIO()
export_table(
file_or_path=engineers_algebra_json,
lefts=Set(['?eng', '?name', '?fav']),
table=engineers_algebra,
out_format='json')
if print_examples:
print('Engineers (data algebra API, took {time:.3f} s): {result}'.format(
time=elapsed_algebra, result=engineers_algebra))
print('The data in RDF JSON:\n{json}'.format(json=engineers_algebra_json.getvalue()))
# Data Algebra -------------------------------------------------------------------------------------
# Import the example graph as data algebra MathObject.
graph_algebra = import_graph(io.StringIO(sample_graph), rdf_format='turtle')
if print_examples:
print('Input graph (as MathObject):', graph_algebra)
# Query the MathObject graph, retrieving the id, name and favorite MathObject of all engineers who
# have all three.
start = time()
engineers_algebra = join(
triple_match(graph_algebra, '?eng', rdflib.URIRef('rdf:name'), '?name'),
triple_match(graph_algebra, '?eng', rdflib.URIRef('rdf:type'), rdflib.URIRef('cat:engineer')),
triple_match(graph_algebra, '?eng', rdflib.URIRef('fav:mathobject'), '?fav')
)
elapsed_algebra = time() - start
engineers_algebra_json = io.StringIO()
export_table(
file_or_path=engineers_algebra_json,
lefts=Set(['?eng', '?name', '?fav']),
table=engineers_algebra,
out_format='json')
if print_examples:
print('Engineers (data algebra API, took {time:.3f} s): {result}'.format(
time=elapsed_algebra, result=engineers_algebra))
print('The data in RDF JSON:\n{json}'.format(json=engineers_algebra_json.getvalue()))