def test_rooms():
rss = get_rs()
rs = rss["mild_roomset"]
l3 = rs.rooms.keys()
#--------------------------------------
folder = os.getcwd()
folder = os.path.join(folder, "uniqes")
p1 = PssAnalyzer()
p2 = PssAnalyzer()
p1.appent_pattern(folder, ".*best.*")
p2.appent_pattern(folder, ".*beam.*")
p1 = p1.select(".*Power.*", roomset_pattern=".*mild.*")
p2 = p2.select(".*Power.*", roomset_pattern=".*mild.*")
p1 = p1.union_db_by_agent_roomset()
p2 = p2.union_db_by_agent_roomset()
for db1, db2 in zip(p1.dbs, p2.dbs):
l1 = db1.roomset.rooms.keys()
l2 = db2.roomset.rooms.keys()
print len(l1), db1.name, db2.roomset.name
print len(l2), db2.name, db2.roomset.name
print sorted(l1)
print sorted(l2)
l1, l2, l3 = [map(str, l) for l in [l1, l2, l3]]
shared = 0
in_source = 0
for e1 in l1:
if e1 in l2:
shared += 1
else:
pass #print e1, "NOT shared"
if e1 in l3:
in_source += 1
else:
pass #print e1, "NOT shared"
print shared, "Shared"
print in_source, "In source"
def test_rooms():
rss = get_rs()
rs = rss["mild_roomset"]
l3 = rs.rooms.keys()
#--------------------------------------
folder = os.getcwd()
folder = os.path.join(folder,"uniqes")
p1 = PssAnalyzer()
p2 = PssAnalyzer()
p1.appent_pattern(folder, ".*best.*")
p2.appent_pattern(folder, ".*beam.*")
p1 = p1.select(".*Power.*", roomset_pattern=".*mild.*")
p2 = p2.select(".*Power.*", roomset_pattern=".*mild.*")
p1 = p1.union_db_by_agent_roomset()
p2 = p2.union_db_by_agent_roomset()
for db1, db2 in zip (p1.dbs, p2.dbs):
l1 = db1.roomset.rooms.keys()
l2 = db2.roomset.rooms.keys()
print len(l1), db1.name, db2.roomset.name
print len(l2), db2.name, db2.roomset.name
print sorted(l1)
print sorted(l2)
l1, l2, l3 = [map(str,l) for l in [l1, l2, l3]]
shared =0
in_source =0
for e1 in l1:
if e1 in l2:
shared +=1
else:
pass #print e1, "NOT shared"
if e1 in l3:
in_source +=1
else:
pass #print e1, "NOT shared"
print shared, "Shared"
print in_source, "In source"
def opt_solutions():
'''
@return: { roomset name => { room id => best solution,...},... }
'''
pp = PssAnalyzer()
pp.appent_pattern(get_pickle_folder(), ".*")
pp = pp.union_db_by_agent_roomset()
res = {}
for rsn in rooomsets_names:
p = pp.select(".*", rsn)
d = p.build_optimal_solution_table()
#res.update(d)
res[rsn] = d
print "best solutions for", rsn
#print_list(d.items())
print "numberof rooms with solution:", len(d)
return res
def opt_solutions():
"""
@return: { roomset name => { room id => best solution,...},... }
"""
pp = PssAnalyzer()
pp.appent_pattern(get_pickle_folder(), ".*")
pp = pp.union_db_by_agent_roomset()
res = {}
for rsn in rooomsets_names:
p = pp.select(".*", rsn)
d = p.build_optimal_solution_table()
# res.update(d)
res[rsn] = d
print "best solutions for", rsn
# print_list(d.items())
print "numberof rooms with solution:", len(d)
return res