def update_normtable():
global normtable, last_normtable_update, normtables_need_update
normtables_need_update = False
erlay.report("Updating normtable")
normtable = ainodex.normtable_to_judy(
"".join(normtables.itervalues()))
last_normtable_update = time.time()
ainodex.open()
if len(sys.argv) < 2:
print "Usage: simple [key] [cue]"
sys.exit(1)
keys = ainodex.token2ixeme(sys.argv[1])
cues = ainodex.token2ixeme(sys.argv[2])
print "KEYS", keys, "CUES", cues
hits_len, hitset = ainodex.hits([keys], 0)
cues_len, cueset = ainodex.hits([cues], 0)
print "%s occurs in %d segments" % (sys.argv[1], hits_len)
print "%s occurs in %d segments" % (sys.argv[2], cues_len)
# Word frequencies
normtable = ainodex.normtable_to_judy(ainodex.normtable())
# Compute how many times tokens co-occur with the cueset
layers = [ainodex.new_layer(i, cueset) for i in range(10)]
for layer in layers:
# Compute token scores
ainodex.normalize_layer(layer, normtable, cues_len)
ranked = ainodex.rank(hitset, layers)
doc_keys = array.array("I", ranked)[:20:2]
doc_scores = array.array("f", ranked)[1:20:2]
print zip(doc_keys, doc_scores)
ainodex.open()
if len(sys.argv) < 2:
print "Usage: simple [key] [cue]"
sys.exit(1)
keys = ainodex.token2ixeme(sys.argv[1])
cues = ainodex.token2ixeme(sys.argv[2])
print "KEYS", keys, "CUES", cues
hits_len, hitset = ainodex.hits([keys], 0)
cues_len, cueset = ainodex.hits([cues], 0)
print "%s occurs in %d segments" % (sys.argv[1], hits_len)
print "%s occurs in %d segments" % (sys.argv[2], cues_len)
# Word frequencies
normtable = ainodex.normtable_to_judy(ainodex.normtable())
# Compute how many times tokens co-occur with the cueset
layers = [ainodex.new_layer(i, cueset) for i in range(10)]
for layer in layers:
# Compute token scores
ainodex.normalize_layer(layer, normtable, cues_len)
ranked = ainodex.rank(hitset, layers)
doc_keys = array.array("I", ranked)[:20:2]
doc_scores = array.array("f", ranked)[1:20:2]
print zip(doc_keys, doc_scores)
