YFONT={'fontsize':24}
TITLEFONT={'fontsize':24}
TINYFONT={'fontsize':6}
TICKFONT={'fontsize':16}
# Should we use a timeout penalty? If so, how much?
timeout_penalty_on = True
timeout_penalty_s = 1 * (12*60*60) # K*12hr penalty
print "Timeout penalty: {0} @ {1} seconds".format(timeout_penalty_on, timeout_penalty_s)
# Plot averages or medians for runtime?
do_average = False
print "Plotting", ("average" if do_average else "median"), "runtimes."
# Load all the data at once (OLDER data)
data = IOUtil.load_old_data(filename_data)
# Grab proper iteration data
num_agents_list = np.unique(data[:,Col.num_agents])
num_items_list = np.unique(data[:,Col.num_items])
dist_type_list = np.unique(data[:,Col.dist_type])
obj_type_list = np.unique(data[:,Col.obj_type])
dashes = [
'-', # : solid line
':', # : dotted line
'-.', # : dashed line
'--', # : dash-dot line
]
# Make the phase transition graphs
Col.alternate_IP_model_on,
]
matplotlib.rcParams['ps.useafm'] = True
matplotlib.rcParams['pdf.use14corefonts'] = True
matplotlib.rcParams['text.usetex'] = True
XFONT={'fontsize':24}
YFONT={'fontsize':24}
TITLEFONT={'fontsize':24}
TINYFONT={'fontsize':6}
TICKFONT={'fontsize':16}
# Load data
data = IOUtil.load(filename_data)
# Grab proper iteration data
num_agents_list = np.unique(data[:,Col.num_agents])
#num_items_list = np.unique(data[:,Col.num_items])
dist_type_list = np.unique(data[:,Col.dist_type])
obj_type_list = np.unique(data[:,Col.obj_type])
dashes = [
'-.', # : dashed line
'-', # : solid line
'--', # : dash-dot line
':', # : dotted line
]
# Make the phase transition graphs
