"""
sim1 = 0
for goterm in gene1:
sim1 = sim1 + self.__get_go_score(goterm, gene2)
sim2 = 0
for goterm in gene2:
sim2 = sim2 + self.__get_go_score(goterm, gene1)
score = (sim1 + sim2) / (len(gene1) + len(gene2))
return score
if __name__ == '__main__':
from oboio import OboIO
from src import download_go_graph
OBIO = OboIO()
ONTO = download_go_graph()
TERMS = OBIO.get_graph(ONTO)
# G-Sesame GO example
GSGO = GsesameGO(TERMS)
print 'GO:0043229 semantic value:', GSGO.semantic_value('GO:0043229')
print 'GO:0043231 semantic value:', GSGO.semantic_value('GO:0043231')
print 'Score for: GO:0043229 - GO:0043231:', \
GSGO.scores('GO:0043229', 'GO:0043231')
# G-Sesame Gene example
GSGENE = GsesameGene(TERMS)
GENE1 = [
'GO:0004022', 'GO:0004024', 'GO:0004174', 'GO:0046872', 'GO:0008270',
'GO:0004023'
