def test_htrees(data, queryShape, all_queries):
global method_list, exp_name
exp_name = "htrees"
method_list = ["ht-standard"]
# method_list = ['ht-standard','ht-composite']
#'ht-pure','ht-true','ht-standard','ht-composite','ht-hybrid','ht-hybrid-skew','ht-composite-localness','ht-hybrid-localness'
res_cube_abs = np.zeros((len(eps_list), len(seed_list), len(method_list)))
res_cube_rel = np.zeros((len(eps_list), len(seed_list), len(method_list)))
for j in range(len(seed_list)):
queryList = all_queries[j]
kexp = GKExp(data, queryList)
p = Params(seed_list[j])
for i in range(len(eps_list)):
p.Eps = eps_list[i]
for k in range(len(method_list)):
if method_list[k] == "ht-pure":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_pure(p)
elif method_list[k] == "ht-true":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_true(p)
elif method_list[k] == "ht-standard":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard(p)
elif method_list[k] == "ht-composite":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_composite(p)
elif method_list[k] == "ht-composite-localness":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_composite_localness(p)
elif method_list[k] == "ht-hybrid":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid(p)
elif method_list[k] == "ht-standard-skew":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard_skew(p)
elif method_list[k] == "ht-hybrid-skew":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid_skew(p)
elif method_list[k] == "ht-standard-adaptive":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard_adaptive(p)
elif method_list[k] == "ht-hybrid-localness":
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid_localness(p)
else:
logging.error("No such index structure!")
sys.exit(1)
res_abs_summary = np.average(res_cube_abs, axis=1)
res_rel_summary = np.average(res_cube_rel, axis=1)
# np.savetxt(Params.resdir+exp_name+'_abs_'+`int(queryShape[0]*10)`+'_'+`int(queryShape[1]*10)`, res_abs_summary, fmt='%.4f\t')
np.savetxt(
Params.resdir + exp_name + "_rel_" + ` int(queryShape[0] * 10) ` + "_" + ` int(queryShape[1] * 10) `,
res_rel_summary,
fmt="%.4f\t",
)
def test_htrees(data, queryShape, all_queries):
global method_list, exp_name
exp_name = 'htrees'
method_list = ['ht-standard']
# method_list = ['ht-standard','ht-composite']
#'ht-pure','ht-true','ht-standard','ht-composite','ht-hybrid','ht-hybrid-skew','ht-composite-localness','ht-hybrid-localness'
res_cube_abs = np.zeros((len(eps_list), len(seed_list), len(method_list)))
res_cube_rel = np.zeros((len(eps_list), len(seed_list), len(method_list)))
for j in range(len(seed_list)):
queryList = all_queries[j]
kexp = GKExp(data, queryList)
p = Params(seed_list[j])
for i in range(len(eps_list)):
p.Eps = eps_list[i]
for k in range(len(method_list)):
if method_list[k] == 'ht-pure':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_pure(p)
elif method_list[k] == 'ht-true':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_true(p)
elif method_list[k] == 'ht-standard':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard(p)
elif method_list[k] == 'ht-composite':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_composite(p)
elif method_list[k] == 'ht-composite-localness':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_composite_localness(p)
elif method_list[k] == 'ht-hybrid':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid(p)
elif method_list[k] == 'ht-standard-skew':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard_skew(p)
elif method_list[k] == 'ht-hybrid-skew':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid_skew(p)
elif method_list[k] == 'ht-standard-adaptive':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_standard_adaptive(p)
elif method_list[k] == 'ht-hybrid-localness':
res_cube_abs[i, j, k], res_cube_rel[i, j, k] = kexp.run_HT_hybrid_localness(p)
else:
logging.error('No such index structure!')
sys.exit(1)
res_abs_summary = np.average(res_cube_abs, axis=1)
res_rel_summary = np.average(res_cube_rel, axis=1)
#np.savetxt(Params.resdir+exp_name+'_abs_'+`int(queryShape[0]*10)`+'_'+`int(queryShape[1]*10)`, res_abs_summary, fmt='%.4f\t')
np.savetxt(Params.resdir + exp_name + '_rel_' + `int(queryShape[0] * 10)` + '_' + `int(queryShape[1] * 10)`,
res_rel_summary, fmt='%.4f\t')
