def _compare_names(bib1, bib2): #metadata_comparison_print("Comparing names.") name1 = get_name_by_bibrecref(bib1) name2 = get_name_by_bibrecref(bib2) if name1 and name2: return compare_names(name1, name2, False) return '?'
def _compare_names(bib1, bib2): metadata_comparison_print("Comparing names.") name1 = get_name_by_bibrecref(bib1) name2 = get_name_by_bibrecref(bib2) metadata_comparison_print(" Found %s and %s" % (name1,name2)) if name1 and name2: cmpv = compare_names(name1, name2, False) metadata_comparison_print(" cmp(%s,%s) = %s" % (name1, name2, str(cmpv))) return cmpv return '?'
def export_to_dot(cs, fname, graph_info, extra_edge=None): from invenio.bibauthorid_dbinterface import get_name_by_bibrecref fptr = open(fname, "w") fptr.write("graph wedgy {\n") fptr.write(" overlap=prism\n") for idx, bib in enumerate(graph_info): fptr.write(' %d [color=black label="%s"];\n' % (idx, get_name_by_bibrecref(idx))) if extra_edge: v1, v2, (prob, cert) = extra_edge fptr.write(' %d -- %d [color=green label="p: %.2f, c: %.2f"];\n' % (v1, v2, prob, cert)) for clus in cs.clusters: fptr.write(" %s [color=blue];\n" % " -- ".join(str(x) for x in clus.bibs)) fptr.write("".join(" %d -- %d [color=red]\n" % (b1, b2) for b1 in clus.bibs for h in clus.hate for b2 in h.bibs)) fptr.write("}")