def main(list_input_dirs, energies_names, output_pre):
#read in and rename arguments
inp_dir1=list_input_dirs[0][0]
scoretype1=list_input_dirs[0][1]
inp_dir2=list_input_dirs[1][0]
scoretype2=list_input_dirs[1][1]
title1 = os.path.basename(inp_dir1)
title2 = os.path.basename(inp_dir2)
column_dict = {}
for c in energies_names:
column_dict[c[0]] = c[1:]
dec1, nat1 = scorefileparse.read_dec_nat(inp_dir1, energies_names[scoretype1], scoretype1)
dec2, nat2 = scorefileparse.read_dec_nat(inp_dir2, energies_names[scoretype2], scoretype2)
[dec_inter1, nat_inter1, dec_inter2, nat_inter2] = scorefileparse.pdbs_intersect([dec1, nat1, dec2, nat2])
sum_discs = Counter()
fig, axarr = conv.create_ax(1, len(dec_inter1)+1, True,True)
for x_ind, pdb in enumerate(sorted(dec_inter1.keys())):
discs_per_pdb = {}
for w_1 in xrange(-10,10,2):
for w_2 in xrange(-10,10,2):
weight_1 = 2 ** w_1
weight_2 = 2 ** w_2
weighted_1 = scorefileparse.weight_dict(dec_inter1[pdb], weight_1)
weighted_2 = scorefileparse.weight_dict(dec_inter2[pdb], weight_2)
merged = scorefileparse.merge_dicts([weighted_1, weighted_2])
ddata1 = scorefileparse.convert_disc(merged)
disc_divs = [1.0,1.5,2.0,2.5,3.0,4.0,6.0]
disc1, d, counts = disc.given_data_run_disc(ddata1, True, disc_divs)
discs_per_pdb[(weight_1,weight_2)] = disc1
sorted_disc = sorted(discs_per_pdb.values())
max_title = [ t for t,v in discs_per_pdb.items() if v == sorted_disc[0] ]
#header_string = "\t".join("{0:.3f}-{1:.3f}".format(x,y) for x,y in sorted(discs_per_pdb.keys())) + "\tMax_Weight"
#values_string = "\t".join(format(x, "10.3f") for (w1,w2),x in sorted(discs_per_pdb.items())) + "\t{0:.3f}".format(max_title[0])
#print header_string
#print values_string
ax = axarr[x_ind, 0]
#ax.set_xlim(-10, 600)
#ax.set_ylim(-10, 600)
ax.set_xscale('log', basex=2)
ax.set_yscale('log', basey=2)
x = [ w1 for (w1,w2) in sorted(discs_per_pdb.keys()) ]
y = [ w2 for (w1,w2) in sorted(discs_per_pdb.keys()) ]
d = [ v for k,v in sorted(discs_per_pdb.items()) ]
min_y = min(discs_per_pdb.values())
max_y = max(discs_per_pdb.values())
#print min_y, max_y
s = scatterplot.draw_actual_plot(ax, x, y, d, pdb, scoretype1, scoretype2, 'bwr')
fig.colorbar(s,ax=ax)
#ax.axhline(y=min_y)
#ax.set_ylim(min_y-0.05,max_y+0.05)
scatterplot.add_x_y_line(ax, 0,600)
sum_discs.update(discs_per_pdb)
#print "All PDBs {0}".format(len(dec_inter1))
#sorted_disc = sorted(sum_discs.values())
#max_title = [ t for t,v in sum_discs.items() if v == sorted_disc[0] ]
#header_string = "\t".join(format(x, "10.3f") for x in sorted(sum_discs.keys())) + "\tMax_Weight"
#values_string = "\t".join(format(x/len(dec_inter1), "10.3f") for key,x in sorted(sum_discs.items())) + "\t{0:.3f}".format(max_title[0])
#print header_string
#print values_string
ax = axarr[len(dec_inter1), 0]
min_y = min(x/len(dec_inter1) for x in sum_discs.values())
max_y = max(x/len(dec_inter1) for x in sum_discs.values())
x = [ w1 for w1,w2 in sorted(sum_discs.keys()) ]
y = [ w2 for w1,w2 in sorted(sum_discs.keys()) ]
d = [ v/len(dec_inter1) for k,v in sorted(sum_discs.items()) ]
#fix titles of axes
ax.set_xscale('log', basex=2)
ax.set_yscale('log', basey=2)
s = scatterplot.draw_actual_plot(ax, x,y,d, "All", scoretype1, scoretype2, cm='bwr')
fig.colorbar(s,ax=ax)
scatterplot.add_x_y_line(ax, 0,600)
#ax.axhline(y=min_y)
conv.save_fig(fig, output_pre, "_weights_v_disc", 3, len(dec_inter1)*3)