def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
name="foo",
verbosity=2,
forced=True)
encoded = numpy.zeros(fieldWidth)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.encodeIntoArray("catA", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catA"), 1)
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catB"), 2)
catB = encoded.copy()
self.assertEqual(s.topDownCompute(catA).value, "catA")
self.assertEqual(s.topDownCompute(catB).value, "catB")
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
self.assertEqual(sum(encoded), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 3)
self.assertEqual(s.topDownCompute(encoded).value, "catC")
def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, name="foo", verbosity=2,
forced=True)
encoded = numpy.zeros(fieldWidth)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.encodeIntoArray("catA", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catA"), 1)
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catB"), 2)
catB = encoded.copy()
self.assertEqual(s.topDownCompute(catA).value, "catA")
self.assertEqual(s.topDownCompute(catB).value, "catB")
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
self.assertEqual(sum(encoded), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 3)
self.assertEqual(s.topDownCompute(encoded).value, "catC")
def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, name="foo", verbosity=2)
encoded = numpy.zeros(fieldWidth)
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
s.encodeIntoArray("catA", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catA') == 1
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catB') == 2
catB = encoded.copy()
assert s.topDownCompute(catA).value == 'catA'
assert s.topDownCompute(catB).value == 'catB'
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
assert sum(encoded) == 0
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catC') == 0
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catC') == 3
assert s.topDownCompute(encoded).value == "catC"
def testSDRCategoryEncoder(self):
print "Testing CategoryEncoder...",
# make sure we have > 16 categories so that we have to grow our sdrs
categories = [
"ES", "S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9", "S10",
"S11", "S12", "S13", "S14", "S15", "S16", "S17", "S18", "S19",
"GB", "US"
]
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=categories,
name="foo",
verbosity=0)
# internal check
self.assertEqual(s.sdrs.shape, (32, fieldWidth))
# ES
es = s.encode("ES")
self.assertEqual(es.sum(), bitsOn)
self.assertEqual(es.shape, (fieldWidth, ))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("foo" in x[0])
self.assertEqual(x[0]["foo"][1], "ES")
topDown = s.topDownCompute(es)
self.assertEqual(topDown.value, 'ES')
self.assertEqual(topDown.scalar, 1)
self.assertEqual(topDown.encoding.sum(), bitsOn)
# ----------------------------------------------------------------------
# Test topdown compute
for v in categories:
output = s.encode(v)
topDown = s.topDownCompute(output)
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
bucketIndices = s.getBucketIndices(v)
print "bucket index =>", bucketIndices[0]
topDown = s.getBucketInfo(bucketIndices)[0]
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
self.assertTrue((topDown.encoding == output).all())
self.assertEqual(topDown.value,
s.getBucketValues()[bucketIndices[0]])
# Unknown
unknown = s.encode("ASDFLKJLK")
self.assertEqual(unknown.sum(), bitsOn)
self.assertEqual(unknown.shape, (fieldWidth, ))
self.assertEqual(unknown.sum(), bitsOn)
x = s.decode(unknown)
self.assertEqual(x[0]["foo"][1], "<UNKNOWN>")
topDown = s.topDownCompute(unknown)
self.assertEqual(topDown.value, "<UNKNOWN>")
self.assertEqual(topDown.scalar, 0)
# US
us = s.encode("US")
self.assertEqual(us.sum(), bitsOn)
self.assertEqual(us.shape, (fieldWidth, ))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
topDown = s.topDownCompute(us)
self.assertEqual(topDown.value, "US")
self.assertEqual(topDown.scalar, len(categories))
self.assertEqual(topDown.encoding.sum(), bitsOn)
# empty field
empty = s.encode(SENTINEL_VALUE_FOR_MISSING_DATA)
self.assertEqual(empty.sum(), 0)
self.assertEqual(empty.shape, (fieldWidth, ))
self.assertEqual(empty.sum(), 0)
# make sure it can still be decoded after a change
bit = s.random.randint(0, s.getWidth() - 1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
# add two reps together
newrep = ((us + unknown) > 0).astype('uint8')
x = s.decode(newrep)
name = x[0]["foo"][1]
if name != "US <UNKNOWN>" and name != "<UNKNOWN> US":
othercategory = name.replace("US", "")
othercategory = othercategory.replace("<UNKNOWN>", "")
othercategory = othercategory.replace(" ", "")
otherencoded = s.encode(othercategory)
print "Got: %s instead of US/unknown" % name
print "US: %s" % us
print "unknown: %s" % unknown
print "Sum: %s" % newrep
print "%s: %s" % (othercategory, s.encode(othercategory))
print "Matches with US: %d" % (us * newrep).sum()
print "Matches with unknown: %d" % (unknown * newrep).sum()
print "Matches with %s: %d" % (othercategory,
(otherencoded * newrep).sum())
raise RuntimeError("Decoding failure")
# serialization
import cPickle as pickle
t = pickle.loads(pickle.dumps(s))
self.assertTrue((t.encode("ES") == es).all())
self.assertTrue((t.encode("GB") == s.encode("GB")).all())
# Test autogrow
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=None,
name="bar")
es = s.encode("ES")
self.assertEqual(es.shape, (fieldWidth, ))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("bar" in x[0])
self.assertEqual(x[0]["bar"][1], "ES")
us = s.encode("US")
self.assertEqual(us.shape, (fieldWidth, ))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
es2 = s.encode("ES")
self.assertTrue((es2 == es).all())
us2 = s.encode("US")
self.assertTrue((us2 == us).all())
# make sure it can still be decoded after a change
bit = s.random.randint(0, s.getWidth() - 1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
# add two reps together
newrep = ((us + es) > 0).astype('uint8')
x = s.decode(newrep)
name = x[0]["bar"][1]
self.assertTrue(name == "US ES" or name == "ES US")
# Catch duplicate categories
caughtException = False
newcategories = categories[:]
self.assertTrue("ES" in newcategories)
newcategories.append("ES")
try:
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=newcategories,
name="foo")
except RuntimeError, e:
caughtException = True
def testSDRCategoryEncoder(self):
print "Testing CategoryEncoder...",
# make sure we have > 16 categories so that we have to grow our sdrs
categories = ["ES", "S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8",
"S9","S10", "S11", "S12", "S13", "S14", "S15", "S16",
"S17", "S18", "S19", "GB", "US"]
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, categoryList = categories,
name="foo", verbosity=0, forced=True)
# internal check
self.assertEqual(s.sdrs.shape, (32, fieldWidth))
# ES
es = s.encode("ES")
self.assertEqual(es.sum(), bitsOn)
self.assertEqual(es.shape, (fieldWidth,))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("foo" in x[0])
self.assertEqual(x[0]["foo"][1], "ES")
topDown = s.topDownCompute(es)
self.assertEqual(topDown.value, 'ES')
self.assertEqual(topDown.scalar, 1)
self.assertEqual(topDown.encoding.sum(), bitsOn)
# ----------------------------------------------------------------------
# Test topdown compute
for v in categories:
output = s.encode(v)
topDown = s.topDownCompute(output)
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
bucketIndices = s.getBucketIndices(v)
print "bucket index =>", bucketIndices[0]
topDown = s.getBucketInfo(bucketIndices)[0]
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
self.assertTrue((topDown.encoding == output).all())
self.assertEqual(topDown.value, s.getBucketValues()[bucketIndices[0]])
# Unknown
unknown = s.encode("ASDFLKJLK")
self.assertEqual(unknown.sum(), bitsOn)
self.assertEqual(unknown.shape, (fieldWidth,))
self.assertEqual(unknown.sum(), bitsOn)
x = s.decode(unknown)
self.assertEqual(x[0]["foo"][1], "<UNKNOWN>")
topDown = s.topDownCompute(unknown)
self.assertEqual(topDown.value, "<UNKNOWN>")
self.assertEqual(topDown.scalar, 0)
# US
us = s.encode("US")
self.assertEqual(us.sum(), bitsOn)
self.assertEqual(us.shape, (fieldWidth,))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
topDown = s.topDownCompute(us)
self.assertEqual(topDown.value, "US")
self.assertEqual(topDown.scalar, len(categories))
self.assertEqual(topDown.encoding.sum(), bitsOn)
# empty field
empty = s.encode(SENTINEL_VALUE_FOR_MISSING_DATA)
self.assertEqual(empty.sum(), 0)
self.assertEqual(empty.shape, (fieldWidth,))
self.assertEqual(empty.sum(), 0)
# make sure it can still be decoded after a change
bit = s.random.randint(0, s.getWidth()-1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
# add two reps together
newrep = ((us + unknown) > 0).astype('uint8')
x = s.decode(newrep)
name =x[0]["foo"][1]
if name != "US <UNKNOWN>" and name != "<UNKNOWN> US":
othercategory = name.replace("US", "")
othercategory = othercategory.replace("<UNKNOWN>", "")
othercategory = othercategory.replace(" ", "")
otherencoded = s.encode(othercategory)
print "Got: %s instead of US/unknown" % name
print "US: %s" % us
print "unknown: %s" % unknown
print "Sum: %s" % newrep
print "%s: %s" % (othercategory, s.encode(othercategory))
print "Matches with US: %d" % (us * newrep).sum()
print "Matches with unknown: %d" % (unknown * newrep).sum()
print "Matches with %s: %d" % (othercategory,
(otherencoded * newrep).sum())
raise RuntimeError("Decoding failure")
# serialization
import cPickle as pickle
t = pickle.loads(pickle.dumps(s))
self.assertTrue((t.encode("ES") == es).all())
self.assertTrue((t.encode("GB") == s.encode("GB")).all())
# Test autogrow
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, categoryList = None, name="bar", forced=True)
es = s.encode("ES")
self.assertEqual(es.shape, (fieldWidth,))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("bar" in x[0])
self.assertEqual(x[0]["bar"][1], "ES")
us = s.encode("US")
self.assertEqual(us.shape, (fieldWidth,))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
es2 = s.encode("ES")
self.assertTrue((es2 == es).all())
us2 = s.encode("US")
self.assertTrue((us2 == us).all())
# make sure it can still be decoded after a change
bit = s.random.randint(0, s.getWidth()-1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
# add two reps together
newrep = ((us + es) > 0).astype('uint8')
x = s.decode(newrep)
name =x[0]["bar"][1]
self.assertTrue(name == "US ES" or name == "ES US")
# Catch duplicate categories
caughtException = False
newcategories = categories[:]
self.assertTrue("ES" in newcategories)
newcategories.append("ES")
try:
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, categoryList = newcategories, name="foo", forced=True)
except RuntimeError, e:
caughtException = True
def testSDRCategoryEncoder(self):
# make sure we have > 16 categories so that we have to grow our sdrs
categories = [
"ES", "S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9", "S10",
"S11", "S12", "S13", "S14", "S15", "S16", "S17", "S18", "S19",
"GB", "US"
]
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=categories,
name="foo",
verbosity=0,
forced=True)
# internal check
self.assertEqual(s.sdrs.shape, (32, fieldWidth))
# ES
es = s.encode("ES")
self.assertEqual(es.sum(), bitsOn)
self.assertEqual(es.shape, (fieldWidth, ))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("foo" in x[0])
self.assertEqual(x[0]["foo"][1], "ES")
topDown = s.topDownCompute(es)
self.assertEqual(topDown.value, "ES")
self.assertEqual(topDown.scalar, 1)
self.assertEqual(topDown.encoding.sum(), bitsOn)
# ----------------------------------------------------------------------
# Test topdown compute
for v in categories:
output = s.encode(v)
topDown = s.topDownCompute(output)
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
bucketIndices = s.getBucketIndices(v)
topDown = s.getBucketInfo(bucketIndices)[0]
self.assertEqual(topDown.value, v)
self.assertEqual(topDown.scalar, s.getScalars(v)[0])
self.assertTrue(numpy.array_equal(topDown.encoding, output))
self.assertEqual(topDown.value,
s.getBucketValues()[bucketIndices[0]])
# Unknown
unknown = s.encode("ASDFLKJLK")
self.assertEqual(unknown.sum(), bitsOn)
self.assertEqual(unknown.shape, (fieldWidth, ))
self.assertEqual(unknown.sum(), bitsOn)
x = s.decode(unknown)
self.assertEqual(x[0]["foo"][1], "<UNKNOWN>")
topDown = s.topDownCompute(unknown)
self.assertEqual(topDown.value, "<UNKNOWN>")
self.assertEqual(topDown.scalar, 0)
# US
us = s.encode("US")
self.assertEqual(us.sum(), bitsOn)
self.assertEqual(us.shape, (fieldWidth, ))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
topDown = s.topDownCompute(us)
self.assertEqual(topDown.value, "US")
self.assertEqual(topDown.scalar, len(categories))
self.assertEqual(topDown.encoding.sum(), bitsOn)
# empty field
empty = s.encode(SENTINEL_VALUE_FOR_MISSING_DATA)
self.assertEqual(empty.sum(), 0)
self.assertEqual(empty.shape, (fieldWidth, ))
self.assertEqual(empty.sum(), 0)
# make sure it can still be decoded after a change
bit = s.random.getUInt32(s.getWidth() - 1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["foo"][1], "US")
# add two reps together
newrep = ((us + unknown) > 0).astype(numpy.uint8)
x = s.decode(newrep)
name = x[0]["foo"][1]
if name != "US <UNKNOWN>" and name != "<UNKNOWN> US":
othercategory = name.replace("US", "")
othercategory = othercategory.replace("<UNKNOWN>", "")
othercategory = othercategory.replace(" ", "")
otherencoded = s.encode(othercategory)
raise RuntimeError("Decoding failure")
# serialization
# TODO: Remove pickle-based serialization tests -- issues #1419 and #1420
import cPickle as pickle
t = pickle.loads(pickle.dumps(s))
self.assertTrue((t.encode("ES") == es).all())
self.assertTrue((t.encode("GB") == s.encode("GB")).all())
# Test autogrow
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=None,
name="bar",
forced=True)
es = s.encode("ES")
self.assertEqual(es.shape, (fieldWidth, ))
self.assertEqual(es.sum(), bitsOn)
x = s.decode(es)
self.assertIsInstance(x[0], dict)
self.assertTrue("bar" in x[0])
self.assertEqual(x[0]["bar"][1], "ES")
us = s.encode("US")
self.assertEqual(us.shape, (fieldWidth, ))
self.assertEqual(us.sum(), bitsOn)
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
es2 = s.encode("ES")
self.assertTrue(numpy.array_equal(es2, es))
us2 = s.encode("US")
self.assertTrue(numpy.array_equal(us2, us))
# make sure it can still be decoded after a change
bit = s.random.getUInt32(s.getWidth() - 1)
us[bit] = 1 - us[bit]
x = s.decode(us)
self.assertEqual(x[0]["bar"][1], "US")
# add two reps together
newrep = ((us + es) > 0).astype(numpy.uint8)
x = s.decode(newrep)
name = x[0]["bar"][1]
self.assertTrue(name == "US ES" or name == "ES US")
# Catch duplicate categories
caughtException = False
newcategories = categories[:]
self.assertTrue("ES" in newcategories)
newcategories.append("ES")
try:
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
categoryList=newcategories,
name="foo",
forced=True)
except RuntimeError, e:
caughtException = True