def fix_qcx2_res_types(qcx2_res):
' Changes data types of cx2_fm_V and cx2_fs_V '
total_qcx = len(qcx2_res)
fmt_str = helpers.make_progress_fmt_str(total_qcx)
for qcx in xrange(total_qcx):
helpers.print_(fmt_str % (qcx))
res = qcx2_res[qcx]
fix_res_types(res)
def load_cached_matches(hs):
print_ = helpers.print_
test_samp = hs.test_sample_cx
# Create result containers
print('[mc2] hs.num_cx = %r ' % hs.num_cx)
qcx2_res = [QueryResult(qcx, hs) for qcx in xrange(hs.num_cx)]
#--------------------
# Read cached queries
#--------------------
total_queries = len(test_samp)
print('[mc2] Total queries: %d' % total_queries)
dirty_test_sample_cx = []
clean_test_sample_cx = []
fmt_str_filter = helpers.make_progress_fmt_str(total_queries, lbl='[mc2] check cache: ')
# Filter queries into dirty and clean sets
for count, qcx in enumerate(test_samp):
print_(fmt_str_filter % (count+1))
if params.CACHE_QUERY and qcx2_res[qcx].has_cache(hs):
clean_test_sample_cx.append(qcx)
else:
dirty_test_sample_cx.append(qcx)
print('')
print('[mc2] Num clean queries: %d ' % len(clean_test_sample_cx))
print('[mc2] Num dirty queries: %d ' % len(dirty_test_sample_cx))
# Check how much data we are going to load
num_bytes = 0
for qcx in iter(clean_test_sample_cx):
num_bytes += qcx2_res[qcx].cache_bytes(hs)
print('[mc2] Loading %dMB cached results' % (num_bytes / (2.0 ** 20)))
# Load clean queries from the cache
fmt_str_load = helpers.make_progress_fmt_str(len(clean_test_sample_cx),
lbl='[mc2] load cache: ')
for count, qcx in enumerate(clean_test_sample_cx):
print_(fmt_str_load % (count+1))
qcx2_res[qcx].load(hs)
print('')
return qcx2_res, dirty_test_sample_cx
