def write_mappings():
# Include all pairs:
# ll = pair_association(unique_pairs, loglike)
# Only pairs with frequency >= 5:
unique_pars_5 = np.array([a.split('!') for a, b in pc.items() if b >= 5])
ll = pair_association(unique_pars_5, loglike)
print 'Write mappings'
lls = sorted(ll.items(), key=lambda x: x[1])
ww = np.array(ll.values())
mn = ww.mean()
print "- Mean LL is {:2f}".format(mn)
print "- {:.2f} % is >= mean LL".format(
float(ww[ww >= mn].shape[0]) / ww.shape[0])
print "- {:.2f} % is < mean LL".format(
float(ww[ww < mn].shape[0]) / ww.shape[0])
# Whether to lookup DDC labels and add them to the mapping sheet
addDdcLabels = False
if addDdcLabels:
# Load WebDewey data
g = Graph()
for x in glob('../../webdewey/DDK23/*.ttl'):
print x
g.load(x, format='turtle')
fsj = re.compile('.*\(Form\)')
with open('mappings.csv', 'w') as f:
writer = csv.writer(f, delimiter='\t')
for x in lls[::-1]:
if x[1] < mn:
break
q = x[0].split('!', 1)
if fsj.match(q[0]): # Utelat form
continue
if addDdcLabels:
lab = g.preferredLabel(
URIRef('http://dewey.info/class/' + q[1] + '/e23/'),
labelProperties=[SKOS.prefLabel, SKOS.altLabel])
if len(lab) != 0:
lab = lab[0][1].value
else:
lab = '(no label)'
# Term, Dewey, Dewey Caption, Loglike
writer.writerow([q[0], q[1], lab.encode('utf-8'), x[1]])
else:
# Term, Dewey, Loglike
writer.writerow([q[0], q[1], x[1]])
def write_mappings():
# Include all pairs:
# ll = pair_association(unique_pairs, loglike)
# Only pairs with frequency >= 5:
unique_pars_5 = np.array([a.split('!') for a, b in pc.items() if b >= 5])
ll = pair_association(unique_pars_5, loglike)
print 'Write mappings'
lls = sorted(ll.items(), key=lambda x: x[1])
ww = np.array(ll.values())
mn = ww.mean()
print "- Mean LL is {:2f}".format(mn)
print "- {:.2f} % is >= mean LL".format(float(ww[ww >= mn].shape[0]) / ww.shape[0])
print "- {:.2f} % is < mean LL".format(float(ww[ww < mn].shape[0]) / ww.shape[0])
# Whether to lookup DDC labels and add them to the mapping sheet
addDdcLabels = False
if addDdcLabels:
# Load WebDewey data
g = Graph()
for x in glob('../../webdewey/DDK23/*.ttl'):
print x
g.load(x, format='turtle')
fsj = re.compile('.*\(Form\)')
with open('mappings.csv', 'w') as f:
writer = csv.writer(f, delimiter='\t')
for x in lls[::-1]:
if x[1] < mn:
break
q = x[0].split('!', 1)
if fsj.match(q[0]): # Utelat form
continue
if addDdcLabels:
lab = g.preferredLabel(URIRef('http://dewey.info/class/' + q[1] + '/e23/'), labelProperties=[SKOS.prefLabel, SKOS.altLabel])
if len(lab) != 0:
lab = lab[0][1].value
else:
lab = '(no label)'
# Term, Dewey, Dewey Caption, Loglike
writer.writerow([q[0], q[1], lab.encode('utf-8'), x[1]])
else:
# Term, Dewey, Loglike
writer.writerow([q[0], q[1], x[1]])
def load_mappings(self, filename, graph=None):
tmp = Graph()
if graph is None:
graph = Graph()
tmp.load(filename, format=self.extFromFilename(filename))
skosify.infer.skos_symmetric_mappings(tmp)
for tr in tmp.triples_choices((None, [SKOS.exactMatch, SKOS.closeMatch, SKOS.broadMatch, SKOS.narrowMatch, SKOS.relatedMatch], None)):
#if tr[0] in all_concepts:
graph.add(tr)
return graph
def init_model(root_directory, model_file):
"""
initialize models:
1. check if core model exists (in CWD), create it if necessary;
2. check core model version compatibility;
3. generate node model file based on the content of root_directory.
"""
if os.path.exists(DEFAULT_CORE_MODEL):
SEED_LOG.info('load core model')
core_model = Graph()
core_model.load(DEFAULT_CORE_MODEL)
version = core_model.value(URIRef(SEED_BASE), OWL.versionInfo)
SEED_LOG.info('core model version: [%s]' % version)
if not version == VERSION:
SEED_LOG.error(
'incompatible to program version [%s], need to regenerate.' \
% VERSION)
gen_core()
else:
SEED_LOG.info('version compatible')
else:
SEED_LOG.error('core model does not exist, need to generate.')
gen_core()
# generate node model by importing specified root directory
root_directory = os.path.abspath(root_directory)
if not os.path.exists(root_directory):
SEED_LOG.error('directory not exist')
return
SEED_LOG.info('reading object list ...')
object_list = read_tree(root_directory)
SEED_LOG.info('creating node model ...')
write_model(object_list, model_file)
SEED_LOG.info('%d object individuals created in %s.' % \
(len(object_list), model_file))
def stats(task):
t0 = time.time()
g = Graph()
g.load('dist/realfagstermer.complete.ttl', format='turtle')
s = json.load(open('realfagstermer.github.io/_data/stats.json', 'r'))
current = stats_from_graph(g)
current['ts'] = now = int(time.time())
s.append(current)
json.dump(current, open('realfagstermer.github.io/_data/stats_current.json', 'w'), indent=2, sort_keys=True)
json.dump(s, open('realfagstermer.github.io/_data/stats.json', 'w'), indent=2, sort_keys=True)
dt = time.time() - t0
logger.info('Generated stats in %.1f seconds', dt)
def enrich_and_concat(files, out_file):
graph = Graph()
for sourcefile in files:
graph.load(sourcefile, format="turtle")
skosify = Skosify()
# Enrichments: broader <-> narrower, related <-> related
logger.debug("Skosify: Enriching relations")
skosify.enrich_relations(graph, False, True, True)
with open(out_file + ".tmp", "w") as handle:
graph.serialize(handle, format="turtle")
os.rename(out_file + ".tmp", out_file)
return len(graph)
def stats(task):
t0 = time.time()
g = Graph()
g.load('dist/realfagstermer.complete.ttl', format='turtle')
s = json.load(open('realfagstermer.github.io/_data/stats.json', 'r'))
current = stats_from_graph(g)
current['ts'] = now = int(time.time())
s.append(current)
json.dump(current, open('realfagstermer.github.io/_data/stats_current.json', 'w'), indent=2, sort_keys=True)
json.dump(s, open('realfagstermer.github.io/_data/stats.json', 'w'), indent=2, sort_keys=True)
dt = time.time() - t0
logger.info('Generated stats in %.1f seconds', dt)
def load_mappings_from_file(filenames, uri_filter='http'):
g = Graph()
g.namespace_manager.bind('skos', SKOS)
g2 = Graph()
for filename in filenames:
g2.load(filename, format='turtle')
skosify.infer.skos_symmetric_mappings(g2, related=False)
skosify.infer.skos_hierarchical_mappings(g2, narrower=True)
for tr in g2:
if tr[1] in [
SKOS.exactMatch, SKOS.closeMatch, SKOS.relatedMatch,
SKOS.broadMatch, SKOS.narrowMatch
]:
if tr[0].startswith(uri_filter):
g.add(tr)
# q[0][0].strip()http://data.ub.uio.no/realfagstermer/c0
return g
def eye(graphs, eye_path="eye", include_proof=False):
"""
Process a set of graphs with EYE, and return the inferred triples.
"""
pass_opt = '--pass-only-new' if not include_proof else '--pass-all'
out_parser = 'turtle' if not include_proof else 'n3'
eyep = Popen([eye_path, '-', pass_opt],
stdin=PIPE,
stdout=PIPE,
stderr=PIPE)
for graph in graphs:
graph.serialize(eyep.stdin, format='n3')
eyep.stdin.close()
infered = Graph()
infered.load(eyep.stdout, format=out_parser)
log = eyep.stderr.read()
eyep.wait()
return infered, log
def prepare(self):
logger.info('Building RDF graph')
graph = Graph()
for inc in self.include:
lg0 = len(graph)
graph.load(inc, format=self.extFromFilename(inc))
logger.info(' - Included {} triples from {}'.format(len(graph) - lg0, inc))
try:
scheme_uri = next(graph.triples((None, RDF.type, SKOS.ConceptScheme)))
except StopIteration:
raise Exception('Concept scheme URI could not be found in vocabulary scheme data')
scheme_uri = scheme_uri[0]
now = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%SZ')
graph.set((URIRef(scheme_uri), DCTERMS.modified, Literal(now, datatype=XSD.dateTime)))
lg0 = len(graph)
for resource in self.vocabulary.resources:
self.convert_resource(graph, resource, self.vocabulary.resources, scheme_uri,
self.vocabulary.default_language.alpha2)
logger.info(' - Added {} triples'.format(len(graph) - lg0))
all_concepts = set([tr[0] for tr in graph.triples((None, RDF.type, SKOS.Concept))])
for inc in self.mappings_from:
lg0 = len(graph)
mappings = self.load_mappings(inc)
for tr in mappings.triples((None, None, None)):
if tr[0] in all_concepts:
graph.add(tr)
logger.info(' - Added {} mappings from {}'.format(len(graph) - lg0, inc))
logger.info('Skosify...')
self.skosify_process(graph)
return {'graph': graph}
def enrich_and_concat(files, out_file):
graph = Graph()
for sourcefile in files:
if sourcefile.endswith('.nt'):
graph.load(sourcefile, format='nt')
elif sourcefile.endswith('.ttl'):
graph.load(sourcefile, format='turtle')
else:
graph.load(sourcefile)
logger.debug("Skosify: Enriching relations")
skosify.infer.skos_hierarchical(graph, True)
skosify.infer.skos_related(graph)
with open(out_file + '.tmp', 'wb+') as handle:
graph.serialize(handle, format='turtle')
os.rename(out_file + '.tmp', out_file)
return len(graph)
if not args:
print "USAGE: %s FILE [rdf...]" % p.basename(cmd)
print "Where FILE is a local copy of <https://lagen.nu/1976:725>. Get it by doing e.g.:"
print " $ /usr/bin/curl -sk 'https://lagen.nu/1976:725' > /tmp/sfs-1976_725.xhtml"
print
print "If additional local rdf files are supplied, a diff of the " \
"extracted data and the supplied data is output (instead of just the " \
"extracted data)."
exit()
docpath = args[0]
graph = fsdoc_to_graph(docpath)
from rdfextras.tools.pathutils import guess_format
cmp_graph = Graph()
for fpath in args[1:]:
cmp_graph.load(fpath, format=guess_format(fpath))
if cmp_graph:
from rdflib.compare import graph_diff
in_both, in_first, in_second = graph_diff(graph, cmp_graph)
print "# %s new statements:" % len(in_first)
for pfx, uri in graph.namespaces():
in_first.bind(pfx, uri)
print in_first.serialize(format='n3')
else:
print "# Nothing to compare against. New RDF is:"
print graph.serialize(format='n3')
def ttl2solr(infile, outfile, vocab_name=None):
logger.info('ttl2solr: Loading %s', infile)
g = Graph()
g.load(infile, format='turtle')
# Build parent lookup hash
# logger.debug('Building parent lookup hash')
parents = {}
for c, p in g.subject_objects(SKOS.broader):
c = text_type(c) # to string
p = text_type(p) # to string
if c not in parents:
parents[c] = set()
parents[c].add(p)
# Build labels lookup hash using two fast passes
# logger.debug('Building labels lookup hash')
labels = {}
for c, p in g.subject_objects(SKOS.altLabel):
labels[text_type(c)] = text_type(p)
for c, p in g.subject_objects(SKOS.prefLabel):
labels[text_type(c)] = text_type(p) # overwrite altLabel with prefLabel if found
# logger.debug('Building documents')
docs = []
unknown_preds = set()
for uriref in g.subjects(RDF.type, SKOS.Concept):
doc = {'id': text_type(uriref)}
if vocab_name is not None:
doc['vocabulary'] = vocab_name
for pred, obj in g.predicate_objects(uriref):
if pred not in schema:
if pred not in unknown_preds:
logger.warning('Encountered unknown predicate with no mapping to JSON: %s', pred)
unknown_preds.add(pred)
continue
if pred == SKOS.inScheme and schema[pred] in vocabs:
doc['vocab'] = vocabs[schema[pred]]
continue
if schema[pred] is None:
continue
if schema[pred] not in doc:
doc[schema[pred]] = []
doc[schema[pred]].append(text_type(obj))
# Add labels from broader concepts
bcs = []
for bc in get_breadcrumbs([[text_type(uriref)]], parents):
bc = [labels.get(x) for x in reversed(bc[1:])]
bcs.append('/'.join([x for x in bc if x is not None]))
doc['paths'] = bcs
byLevel = [[text_type(uriref)]] # Level 0
level = 0
while True:
byLevel.append([])
for x in byLevel[level]:
byLevel[level + 1].extend(parents.get(x, set()))
if len(byLevel[level + 1]) == 0:
break
level += 1
for level, items in enumerate(byLevel[1:4]):
# logger.debug(level, items)
doc['parentsLevel{}'.format(level + 1)] = [labels[x] for x in items if x in labels] # Vi mangler labels for enkelt toppetiketter, som f.eks. 'http://data.ub.uio.no/ddc/19'
docs.append(doc)
logger.info('ttl2solr: Storing %d documents in %s', len(docs), outfile)
json.dump(docs, open(outfile, 'w'), indent=2)
def load(self, filename):
"""
Note: This loader only loads categories and mappings
"""
graph = Graph()
graph.load(filename, format=self.extFromFilename(filename))
logger.info('Read %d triples from %s', len(graph), filename)
skosify.infer.skos_symmetric_mappings(graph, related=False)
# Load mappings
n_mappings = 0
n_memberships = 0
for tr in graph.triples_choices((None, [SKOS.exactMatch, SKOS.closeMatch, SKOS.broadMatch, SKOS.narrowMatch, SKOS.relatedMatch], None)):
source_concept = tr[0]
res_id = self.vocabulary.id_from_uri(source_concept)
if res_id is not None:
shortName = str(tr[1]).split('#')[1]
try:
self.vocabulary.resources[res_id].add('mappings.%s' % shortName, str(tr[2]))
n_mappings += 1
except KeyError:
logger.warning('Concept not found: %s', res_id)
# Load categories
for tr in graph.triples((None, RDF.type, UOC.Category)):
cat_lab = graph.preferredLabel(tr[0], lang='nb')[0][1].value
cat_id = '' + tr[0]
cat = Concept().set_type('Category')
cat.set('id', cat_id)
cat.set('prefLabel.nb', Label(cat_lab))
self.vocabulary.resources.load([cat])
for tr2 in graph.triples((tr[0], SKOS.member, None)):
uri = str(tr2[2])
res_id = self.vocabulary.id_from_uri(uri)
if res_id is not None:
try:
self.vocabulary.resources[res_id].add('memberOf', cat_id)
n_memberships += 1
except KeyError:
logger.warning('Concept not found: %s', res_id)
# Load number of ccmapper mapping candidates
for tr in graph.triples((None, LOCAL.ccmapperCandidates, None)):
source_concept = tr[0]
res_id = self.vocabulary.id_from_uri(source_concept)
if res_id is not None:
shortName = str(tr[1]).split('#')[1]
try:
self.vocabulary.resources[res_id].set('ccmapperCandidates', int(tr[2]))
except KeyError:
logger.warning('Concept not found: %s', res_id)
# Load ccmapper mapping state
for tr in graph.triples((None, LOCAL.ccmapperState, None)):
source_concept = tr[0]
res_id = self.vocabulary.id_from_uri(source_concept)
if res_id is not None:
shortName = str(tr[1]).split('#')[1]
try:
self.vocabulary.resources[res_id].set('ccmapperState', tr[2])
except KeyError:
logger.warning('Concept not found: %s', res_id)
logger.info('Loaded %d mappings and %d category memberships from %s', n_mappings, n_memberships, filename)
def convert(infile, outfile):
logger.debug('Loading %s', infile)
g = Graph()
g.load(infile, format='turtle')
# Build parent lookup hash
logger.debug('Building parent lookup hash')
parents = {}
for c, p in g.subject_objects(SKOS.broader):
c = text_type(c) # to string
p = text_type(p) # to string
if c not in parents:
parents[c] = set()
parents[c].add(p)
# Build labels lookup hash using two fast passes
logger.debug('Building labels lookup hash')
labels = {}
for c, p in g.subject_objects(SKOS.altLabel):
labels[text_type(c)] = text_type(p)
for c, p in g.subject_objects(SKOS.prefLabel):
labels[text_type(c)] = text_type(p) # overwrite altLabel with prefLabel if found
logger.debug('Building documents')
docs = []
for uriref in g.subjects(RDF.type, SKOS.Concept):
doc = {'id': text_type(uriref)}
for pred, obj in g.predicate_objects(uriref):
if pred not in schema:
logger.error('Encountered unknown predicate with no mapping to JSON: %s', pred)
continue
if pred == SKOS.inScheme and schema[pred] in vocabs:
doc['vocab'] = vocabs[schema[pred]]
continue
if schema[pred] is None:
continue
if schema[pred] not in doc:
doc[schema[pred]] = []
doc[schema[pred]].append(text_type(obj))
# Add labels from broader concepts
byLevel = [[text_type(uriref)]] # Level 0
level = 0
while True:
byLevel.append([])
for x in byLevel[level]:
byLevel[level + 1].extend(parents.get(x, set()))
if len(byLevel[level + 1]) == 0:
break
level += 1
for level, items in enumerate(byLevel[1:-1]):
# logger.debug(level, items)
doc['parentsLevel{}'.format(level)] = [labels[x] for x in items if x in labels] # Vi mangler labels for enkelt toppetiketter, som f.eks. 'http://data.ub.uio.no/ddc/19'
docs.append(doc)
logger.debug('Generated %d documents', len(docs))
logger.debug('Saving %s', outfile)
json.dump(docs, open(outfile, 'w'), indent=2)
RESULT = Namespace("http://www.w3.org/2002/03owlt/resultsOntology#")
FOAF = Namespace("http://xmlns.com/foaf/0.1/")
results = Graph()
system = BNode("system")
results.add((system, FOAF["homepage"], URIRef("http://rdflib.net/")))
results.add((system, RDFS.label, Literal("RDFLib")))
results.add((system, RDFS.comment, Literal("")))
if __name__ == "__main__":
manifest = Graph()
manifest.load(
cached_file(
"http://www.w3.org/2000/10/rdf-tests/rdfcore/Manifest.rdf"))
import sys, getopt
try:
optlist, args = getopt.getopt(sys.argv[1:], 'h:', ["help"])
except getopt.GetoptError, msg:
write(msg)
#usage()
try:
argv = sys.argv
for arg in sys.argv[1:]:
verbose = 1
case = URIRef(arg)
write(u"Testing: %s" % case)
if (case, RDF.type, TEST["PositiveParserTest"]) in manifest:
from __future__ import print_function
# Third-party
from rdflib import Literal, Namespace
from rdflib.graph import Graph
NS_FOAF = Namespace("http://xmlns.com/foaf/0.1/")
NS_EXIF = Namespace("http://www.w3.org/2003/12/exif/ns#")
index = Graph()
index.bind("cc", "http://creativecommons.org/ns#")
index.bind("dc", "http://purl.org/dc/elements/1.1/")
index.bind("dcq","http://purl.org/dc/terms/")
index.bind("rdf","http://www.w3.org/1999/02/22-rdf-syntax-ns#")
index.bind("foaf","http://xmlns.com/foaf/0.1/")
index.load('./rdf/index.rdf')
output = Graph()
output.bind("foaf","http://xmlns.com/foaf/0.1/")
output.bind("exif","http://www.w3.org/2003/12/exif/ns#")
for img in index.objects(None, NS_FOAF.logo):
print(img)
width, height = img[:-len('.png')].split('/')[-1].split('x')
output.add( (img, NS_EXIF.width, Literal(width)) )
output.add( (img, NS_EXIF.height, Literal(height)) )
file('./rdf/images.rdf', 'w').write(
output.serialize(format="pretty-xml", max_depth=2))
def testModel(self):
g = Graph()
g.load("http://www.w3.org/2000/10/rdf-tests/rdfcore/rdfms-empty-property-elements/test002.nt", format="nt")
import codecs
MADS = Namespace('http://www.loc.gov/mads/rdf/v1#')
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('[%(asctime)s %(levelname)s] %(message)s')
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
logging.info('Loading removed.nt')
removed = Graph()
removed.load('realfagstermer/removed.nt', format='nt')
logging.info('Loading added.nt')
added = Graph()
added.load('realfagstermer/added.nt', format='nt')
logging.info('Loading realfagstermer.new.nt as <current>')
current = Graph()
current.load('realfagstermer/realfagstermer.new.nt', format='nt')
current.namespace_manager.bind('skos', SKOS)
current.namespace_manager.bind('mads', MADS)
current.namespace_manager.bind('dct', DCTERMS)
logging.info('Computing')
def ttl2solr(infile, outfile, vocab_name=None):
logger.info('ttl2solr: Loading %s', infile)
g = Graph()
g.load(infile, format='turtle')
# Build parent lookup hash
# logger.debug('Building parent lookup hash')
parents = {}
for c, p in g.subject_objects(SKOS.broader):
c = text_type(c) # to string
p = text_type(p) # to string
if c not in parents:
parents[c] = set()
parents[c].add(p)
# Build labels lookup hash using two fast passes
# logger.debug('Building labels lookup hash')
labels = {}
for c, p in g.subject_objects(SKOS.altLabel):
labels[text_type(c)] = text_type(p)
for c, p in g.subject_objects(SKOS.prefLabel):
labels[text_type(c)] = text_type(p) # overwrite altLabel with prefLabel if found
# logger.debug('Building documents')
docs = []
unknown_preds = set()
for uriref in g.subjects(RDF.type, SKOS.Concept):
doc = {'id': text_type(uriref)}
if vocab_name is not None:
doc['vocabulary'] = vocab_name
for pred, obj in g.predicate_objects(uriref):
if pred not in schema:
if pred not in unknown_preds:
logger.warning('Encountered unknown predicate with no mapping to JSON: %s', pred)
unknown_preds.add(pred)
continue
if pred == SKOS.inScheme and schema[pred] in vocabs:
doc['vocab'] = vocabs[schema[pred]]
continue
if schema[pred] is None:
continue
if schema[pred] not in doc:
doc[schema[pred]] = []
doc[schema[pred]].append(text_type(obj))
# Add labels from broader concepts
bcs = []
for bc in get_breadcrumbs([[text_type(uriref)]], parents):
bc = [labels.get(x) for x in reversed(bc[1:])]
bcs.append('/'.join([x for x in bc if x is not None]))
doc['paths'] = bcs
byLevel = [[text_type(uriref)]] # Level 0
level = 0
while True:
byLevel.append([])
for x in byLevel[level]:
byLevel[level + 1].extend(parents.get(x, set()))
if len(byLevel[level + 1]) == 0:
break
level += 1
for level, items in enumerate(byLevel[1:4]):
# logger.debug(level, items)
doc['parentsLevel{}'.format(level + 1)] = [labels[x] for x in items if x in labels] # Vi mangler labels for enkelt toppetiketter, som f.eks. 'http://data.ub.uio.no/ddc/19'
docs.append(doc)
logger.info('ttl2solr: Storing %d documents in %s', len(docs), outfile)
json.dump(docs, open(outfile, 'w'), indent=2)
RESULT = Namespace("http://www.w3.org/2002/03owlt/resultsOntology#")
FOAF = Namespace("http://xmlns.com/foaf/0.1/")
results = Graph()
system = BNode("system")
results.add((system, FOAF["homepage"], URIRef("http://rdflib.net/")))
results.add((system, RDFS.label, Literal("RDFLib")))
results.add((system, RDFS.comment, Literal("")))
if __name__ == "__main__":
manifest = Graph()
manifest.load(cached_file(
"http://www.w3.org/2000/10/rdf-tests/rdfcore/Manifest.rdf"))
import sys
import getopt
try:
optlist, args = getopt.getopt(sys.argv[1:], 'h:', ["help"])
except getopt.GetoptError, msg:
write(msg)
# usage()
try:
argv = sys.argv
for arg in sys.argv[1:]:
verbose = 1
case = URIRef(arg)
write(u"Testing: %s" % case)
if (case, RDF.type, TEST["PositiveParserTest"]) in manifest:
