def load_vectorspace(filename):
f = open(filename,'r')
vectors = dict()
f.readline() #vector size
for line in f:
data = line.split('|')
if len(data) == 4 and '' not in data:
a1 = CompactVectorUtil.string_to_vector(data[1])
p = '0,0'#CompactVectorUtil.string_to_vector(data[2].replace(' ',''))
a2 = CompactVectorUtil.string_to_vector(data[3])
vectors.update({data[0]: (a1,p,a2)})
return vectors
def main(args):
msg = 'COMMANDS: lr [word] | cmp [rel1] [rel2] | pv [rel_name] | quit | ls | help\n'
vectors = load_vectorspace(args[1])
line = input(msg)
while line != 'quit':
cmds = line.split(' ')
if cmds[0] == 'lr' and len(cmds) <= 3:
if len(cmds) == 1:
for v in vectors:
sys.stderr.write(v+' | ')
sys.stderr.write('\n\n')
else:
for v in vectors:
w = v.split('_')
if cmds[1] in w:
sys.stderr.write(v + ' , ')
sys.stderr.write('\n\n')
elif cmds[0] == 'cmp' and len(cmds) == 3:
names = cmds
names[2].replace('\n','')
if names[1] in vectors and names[2] in vectors:
#print('Distance between ' + names[1] + ' and ' + names[2] + ' is ')
print('Relation similarity is: ')
print(str(CompactVectorUtil.relation_similarity(vectors[names[1]], vectors[names[2]])) + '\n')
elif cmds[0] == 'pv' and len(cmds) == 2:
if cmds[1] in vectors:
print(vectors[cmds[1]])
elif cmds[0] == 'fs' and len(cmds) == 2:
print('Not implemented.')
elif cmds[0] == 'ls' and len(cmds) == 1:
print('Loaded '+str(len(vectors)) + ' vectors.')
elif cmds[0] == 'help' and len(cmds) == 1:
print('COMMANDS explained:')
print('lr: find relation containing the word [word]. List all relations loaded if no word is provided.')
print('ls: display amount of relations loaded.')
line = input('Type other command.\n' + msg)
