def test__select_one_matching(self):
atoms = self._simple_atoms_1()
template = atoms[2]
result = self.chainer._select_one_matching(template)
self.assertEqual( result, atoms[2] )
print get_attentional_focus(self.atomspace)
template = self.atomspace.add_node(types.VariableNode, "$v1")
result = self.chainer._select_one_matching(template)
self.assertNotEqual( result, None )
def test__select_one_matching(self):
atoms = self._simple_atoms_1()
template = atoms[2]
result = self.chainer._select_one_matching(template)
self.assertEqual(result, atoms[2])
print get_attentional_focus(self.atomspace)
template = self.atomspace.add_node(types.VariableNode, "$v1")
result = self.chainer._select_one_matching(template)
self.assertNotEqual(result, None)
def run(self, atomspace):
# incredibly exciting futuristic display!
#import os
#os.system('cls' if os.name=='nt' else 'clear')
# try:
if self.chainer is None:
self.create_chainer(atomspace)
result = self.chainer.backward_step()
if result:
(outputs, inputs) = result
if False:
print '==== Inference ===='
print show_atoms(outputs), '<=', show_atoms(inputs)
print
print '==== Attentional Focus ===='
for atom in get_attentional_focus(atomspace)[0:30]:
print str(atom), atom.av
#print '==== Result ===='
#print output
#print '==== Trail ===='
#print_atoms( self.chainer.trails[output] )
if self.chainer._all_nonzero_tvs(inputs):
raw_input()
else:
print 'Invalid inference attempted'
def run(self, atomspace):
# incredibly exciting futuristic display!
#import os
#os.system('cls' if os.name=='nt' else 'clear')
# try:
if self.chainer is None:
self.create_chainer(atomspace)
result = self.chainer.backward_step()
if result:
(outputs, inputs) = result
if False:
print '==== Inference ===='
print show_atoms(outputs), '<=', show_atoms(inputs)
print
print '==== Attentional Focus ===='
for atom in get_attentional_focus(atomspace)[0:30]:
print str(atom), atom.av
#print '==== Result ===='
#print output
#print '==== Trail ===='
#print_atoms( self.chainer.trails[output] )
if self.chainer._all_nonzero_tvs(inputs):
raw_input()
else:
print 'Invalid inference attempted'
def run(self, atomspace):
if self.chainer is None:
self.chainer = Chainer(atomspace, stimulateAtoms = True, agent = self)
self.chainer.add_rule(rules.InversionRule(self.chainer))
self.chainer.add_rule(rules.DeductionRule(self.chainer))
# incredibly exciting futuristic display!
#import os
#os.system('cls' if os.name=='nt' else 'clear')
try:
result = self.chainer.forward_step()
if result:
(output, inputs) = result
print '==== Inference ===='
print output,str(output.av),'<=',' '.join(str(i)+str(output.av) for i in inputs)
print
print '==== Attentional Focus ===='
for atom in get_attentional_focus(atomspace)[0:30]:
print str(atom), atom.av
#print '==== Result ===='
#print output
#print '==== Trail ===='
#print_atoms( self.chainer.trails[output] )
else:
print 'Invalid inference attempted'
except Exception, e:
print e
def run(self, atomspace):
# incredibly exciting futuristic display!
#import os
#os.system('cls' if os.name=='nt' else 'clear')
def show_atoms(atoms):
return ' '.join(str(atom) + str(atom.av) for atom in atoms)
if self.chainer is None:
self.create_chainer(atomspace)
import pdb
pdb.set_trace()
result = self.chainer.forward_step()
if result:
(rule, inputs, outputs) = result
print '==== Inference ===='
print rule.name, show_atoms(outputs), '<=', show_atoms(inputs)
print
print '==== Attentional Focus ===='
for atom in get_attentional_focus(atomspace)[0:30]:
print str(atom), atom.av
#print '==== Result ===='
#print output
#print '==== Trail ===='
#print_atoms( self.chainer.trails[output] )
else:
print 'Invalid inference attempted'
try:
pass
except AssertionError:
import sys, traceback
_, _, tb = sys.exc_info()
traceback.print_tb(tb) # Fixed format
tbInfo = traceback.extract_tb(tb)
filename, line, func, text = tbInfo[-1]
print('An error occurred on line ' + str(line) + ' in statement ' +
text)
exit(1)
except Exception, e:
print e
print e.args
e.print_traceback()
import sys, traceback
_, _, tb = sys.exc_info()
traceback.print_tb(tb) # Fixed format
tbInfo = traceback.extract_tb(tb)
filename, line, func, text = tbInfo[-1]
print('An error occurred on line ' + str(line) + ' in statement ' +
text)
exit(1)
def test_get_attentional_focus(self):
atoms = self._simple_atoms_1()
print atoms[2]
contents = get_attentional_focus(self.atomspace)
print contents
self.assertEqual(len(contents), 1)
def test_get_attentional_focus(self):
atoms = self._simple_atoms_1()
print atoms[2]
contents = get_attentional_focus(self.atomspace)
print contents
self.assertEqual( len(contents), 1 )
def run(self, atomspace):
# incredibly exciting futuristic display!
#import os
#os.system('cls' if os.name=='nt' else 'clear')
def show_atoms(atoms):
return ' '.join(str(atom)+str(atom.av) for atom in atoms)
if self.chainer is None:
self.create_chainer(atomspace)
import pdb; pdb.set_trace()
result = self.chainer.forward_step()
if result:
(rule, inputs, outputs) = result
print '==== Inference ===='
print rule.name, show_atoms(outputs), '<=', show_atoms(inputs)
print
print '==== Attentional Focus ===='
for atom in get_attentional_focus(atomspace)[0:30]:
print str(atom), atom.av
#print '==== Result ===='
#print output
#print '==== Trail ===='
#print_atoms( self.chainer.trails[output] )
else:
print 'Invalid inference attempted'
try:
pass
except AssertionError:
import sys,traceback
_,_,tb = sys.exc_info()
traceback.print_tb(tb) # Fixed format
tbInfo = traceback.extract_tb(tb)
filename,line,func,text = tbInfo[-1]
print ('An error occurred on line ' + str(line) + ' in statement ' + text)
exit(1)
except Exception, e:
print e
print e.args
e.print_traceback()
import sys,traceback
_,_,tb = sys.exc_info()
traceback.print_tb(tb) # Fixed format
tbInfo = traceback.extract_tb(tb)
filename,line,func,text = tbInfo[-1]
print ('An error occurred on line ' + str(line) + ' in statement ' + text)
exit(1)
