def run_tests(mes_functions, number_of_rooms, room_limit, seed = 0):
''' Run tests and save it to files
@param mes_functions: [mesure function1,...]
when measure function1 is (number_of_rooms,room_limit) => db of results
all db's saved in working directory with names
{start_time}{test functoin name}
'''
result_folder = "results"
base = os.path.join(os.getcwd(),result_folder)
if not os.path.exists(base):
os.mkdir(base)
print "Start Running"
print "============="
for mf in mes_functions:
test_filename = strftime("%Y-%m-%d_at_%H-%M_") + mf.__name__ + str(seed) + ".pck"
path= os.path.join(base, test_filename )
dbs = mf(number_of_rooms, room_limit, seed)
print "saved:", path
psave(dbs,path)
print "===== DONE ======"
def run_tests(mes_functions, number_of_rooms, room_limit, seed=0):
''' Run tests and save it to files
@param mes_functions: [mesure function1,...]
when measure function1 is (number_of_rooms,room_limit) => db of results
all db's saved in working directory with names
{start_time}{test functoin name}
'''
result_folder = "results"
base = os.path.join(os.getcwd(), result_folder)
if not os.path.exists(base):
os.mkdir(base)
print "Start Running"
print "============="
for mf in mes_functions:
test_filename = strftime("%Y-%m-%d_at_%H-%M_") + mf.__name__ + str(
seed) + ".pck"
path = os.path.join(base, test_filename)
dbs = mf(number_of_rooms, room_limit, seed)
print "saved:", path
psave(dbs, path)
print "===== DONE ======"
def test_mesure_soleves2(rooms,width_domain):
max_depth = 40
def BeamSolve(beam_width):
algorithm = beam_search.BeamSearch(beam_width, max_depth)
heuristic = heuristics.PowerHeuristic()
agent = measure_agent.MeasureAgent(algorithm, heuristic)
def solution_len(*args, **kwrds):
solution = agent.solve(*args, **kwrds)
if solution is None: solution = []
return [len(solution)]
return solution_len
x = width_domain
solve_impl_list = [ BeamSolve(i) for i in x ]
header = ['No','RoomId'] + ['Beam%s' % i for i in x]
#rooms = dict(all_static_rooms.items()[:7])
#rooms = all_static_rooms
print
print
results = mes2.compare_measured_soleves(solve_impl_list, rooms, 1000)
#named_results = [[name] + list(r) for r , name in zip(results,solve_impl_names)]
time_table = [range(len(results[0][0]))] + results[1]
t = xplot.table_to_csv2(time_table,header=header)
psave(t, r'C:\Users\inesmeya\Desktop\source\din\t.pck')
#y = [ for coll in time_table[2:] ]
y = [ reduce(lambda x,y: x + int(y != 0),coll,0) for coll in time_table[2:]]
print
print "GGGG y=", y
y = [ 100.0 * float(i) / float(len(rooms)) for i in y ]
print
print "GGGG y=", y
dir = r'C:\Users\inesmeya\Desktop\source\din'
html_name = dir + '\\' + 'index.html'
img_name = dir + '\\' + 'img.png'
xplot.html.add_header("Picture Demo")
#pylab.axvspan(0, 400, 0, 100)
xplot.plot_result((('width', x),('solved', y)), title='Picture title', label='label', filename=img_name)
xplot.html.add_img(img_name)
xplot.html.add_header("Table demo")
xplot.html.add_paragraph("Tons of text about this particular table")
xplot.html.add_table(time_table, 'The Title of table', header=header)
xplot.html.save(html_name)
#print d
print t
def save_roomset(name, count, seed, rs):
path = roomset_filepath(name, count, seed)
psave(rs, path)
print "Room set saved:", path
def test_mesure_soleves2(rooms, width_domain):
max_depth = 40
def BeamSolve(beam_width):
algorithm = beam_search.BeamSearch(beam_width, max_depth)
heuristic = heuristics.PowerHeuristic()
agent = measure_agent.MeasureAgent(algorithm, heuristic)
def solution_len(*args, **kwrds):
solution = agent.solve(*args, **kwrds)
if solution is None: solution = []
return [len(solution)]
return solution_len
x = width_domain
solve_impl_list = [BeamSolve(i) for i in x]
header = ['No', 'RoomId'] + ['Beam%s' % i for i in x]
#rooms = dict(all_static_rooms.items()[:7])
#rooms = all_static_rooms
print
print
results = mes2.compare_measured_soleves(solve_impl_list, rooms, 1000)
#named_results = [[name] + list(r) for r , name in zip(results,solve_impl_names)]
time_table = [range(len(results[0][0]))] + results[1]
t = xplot.table_to_csv2(time_table, header=header)
psave(t, r'C:\Users\inesmeya\Desktop\source\din\t.pck')
#y = [ for coll in time_table[2:] ]
y = [
reduce(lambda x, y: x + int(y != 0), coll, 0)
for coll in time_table[2:]
]
print
print "GGGG y=", y
y = [100.0 * float(i) / float(len(rooms)) for i in y]
print
print "GGGG y=", y
dir = r'C:\Users\inesmeya\Desktop\source\din'
html_name = dir + '\\' + 'index.html'
img_name = dir + '\\' + 'img.png'
xplot.html.add_header("Picture Demo")
#pylab.axvspan(0, 400, 0, 100)
xplot.plot_result((('width', x), ('solved', y)),
title='Picture title',
label='label',
filename=img_name)
xplot.html.add_img(img_name)
xplot.html.add_header("Table demo")
xplot.html.add_paragraph("Tons of text about this particular table")
xplot.html.add_table(time_table, 'The Title of table', header=header)
xplot.html.save(html_name)
#print d
print t
def save_roomset(name, count, seed,rs):
path = roomset_filepath(name, count, seed)
psave(rs,path)
print "Room set saved:", path
