def export_to_prolog(fNameNoSuf, OutF=None):
gm = dr.GraphMaker()
gm.load(fNameNoSuf + '.txt')
if not OutF:
OutF = fNameNoSuf
to_prolog('', gm, gm, OutF)
return gm
def runWithText(text, wk, sk, filter):
gm = dr.GraphMaker()
gm.digest(text)
keys = gm.bestWords(wk)
sents = [s for (_, s) in gm.bestSentences(sk)]
#keys_text=interleave_with('\n','\n',keys)
#sents_text=interleave_with('\n','\n',sents)
#return (keys_text,sents_text)
nk = gm.nxgraph.number_of_nodes()
vk = gm.nxgraph.number_of_edges()
return (keys, sents, nk, vk)
def dialog_about(fNameNoSuf, question):
gm = export_to_prolog(fNameNoSuf)
prolog = Prolog()
list(prolog.query("consult('qpro.pro')"))
export_to_prolog(fNameNoSuf)
list(prolog.query("load('" + fNameNoSuf + "')"))
qgm = dr.GraphMaker()
if question:
dialog_step(prolog, question, gm, qgm, fNameNoSuf)
else:
while (True):
question = input('?-- ')
if not question: break
dialog_step(prolog, question, gm, qgm, fNameNoSuf)
def ptest():
f = 'examples/bfr'
qf = f + '_query.pro'
gm = export_to_prolog(f)
prolog = Prolog()
prolog.consult(f + '.pro')
q = prolog.query('listing(dep)')
next(q)
q.close()
qgm = dr.GraphMaker()
query_to_prolog('What is the BFR?', gm, qgm, f)
prolog.consult(qf)
q = prolog.query('listing(query_sent)')
next(q)
q.close()
def runWith(fname) :
print(fname)
gm=dr.GraphMaker()
gm.load(fname)
# dpr=gm.pagerank()
dg=gm.graph()
#for x in dg: print('VERT::', x)
print('nodes:', dg.number_of_nodes())
print('edges:', dg.number_of_edges())
comps=nx.strongly_connected_components(dg)
print('strongly connected components:',len(list(comps)))
c = max(nx.strongly_connected_components(dg), key=len)
mg=dg.subgraph(c)
print('attracting components:', co.number_attracting_components(dg))
print('number_weakly_connected_components:',co.number_weakly_connected_components(dg))
print('Transitivity:',cl.transitivity(dg))
return
e=dm.eccentricity(mg)
dprint('ecc:', e)
cent=dm.center(mg,e=e)
print('CENTER',cent)
p=dm.periphery(mg,e=e)
print('perif:', len(list(e)))
#dprint('perif:', e)
print('diameter:', dm.diameter(nx.Graph(mg)))
print('radius:', dm.radius(nx.Graph(mg)))
g = nx.Graph(dg)
print('omega:', omega(g))
print('sigma:', sigma(g))
def __init__(self):
self.gm = dr.GraphMaker()
self.source = None
self.target = None