def test_identity():
'''
Identity sets are just ranges of numbers.
'''
iset = IdentitySet(10)
eq_(iset[5], 5)
eq_(iset.index(2), 2)
eq_(len(iset), 10)
assert iset == RecyclingSet(10, range(10))
iset = pickle.loads(pickle.dumps(iset))
eq_(iset[5], 5)
eq_(iset.index(2), 2)
eq_(len(iset), 10)
assert iset == RecyclingSet(10, range(10))
def test_recycle2():
r = RecyclingSet(5)
for item in ('one', 'two', 'three', 'four', 'five', 'six'): r.add(item)
r.add('two')
assert r[0] == 'six'
assert r[1] == 'two'
r.add('seven')
assert r[1] == 'two'
assert r[2] == 'seven'
def test_pickle():
'''
Test that RecyclingSets can be pickled.
'''
s = RecyclingSet(10, ['dog','cat','banana'])
import cPickle as pickle
s2 = pickle.loads(pickle.dumps(s))
eq_(s, s2)
eq_(s2[0], 'dog')
eq_(s2.index('cat'), 1)
def __init__(self, host, port, channel, nconcepts, k=2):
QThread.__init__(self)
self.stomp = Client(host, port)
self.channel = channel
self.array = np.zeros((nconcepts, k))
self.k = k
self.nconcepts = nconcepts
self.labels = RecyclingSet(nconcepts)
self.labels.listen_for_drops(self.on_drop)
self.exiting = False
def test_delete_and_pickle():
'''
Deleting an element doesn't affect the remaining elements'
indices.
'''
s = RecyclingSet(10, ['dog','cat','banana'])
del s[1]
eq_(s[1], None)
eq_(s.index('banana'), 2)
# Pickling doesn't change things.
s2 = pickle.loads(pickle.dumps(s))
eq_(s, s2)
eq_(s2[1], None)
eq_(s2.index('banana'), 2)
assert None not in s2
assert None not in s2
def __init__(self,
k,
ev=None,
i=0,
bootstrap=20,
amnesia=3.0,
remembrance=100000.0,
vector_size=10000,
auto_baseline=True):
"""Construct a CCIPCA computation with k initial eigenvectors ev at iteration i, using simple averaging until the iteration given by bootstrap, afterward using CCIPCA given amnesic parameter amnesia, rememberance parameter remembrance, and a weight vector and subspace criteria for simultaneous vector presentation"""
if ev is not None: self._v = ev
else:
self._v = np.zeros((k, vector_size))
self._k = k
self._amnesia = amnesia
self._iteration = i
self._bootstrap = bootstrap
self._remembrance = remembrance
self._vector_size = vector_size
self._labels = RecyclingSet(self._vector_size)
self._labels.listen_for_drops(self.forget_column)
self._auto_baseline = auto_baseline
def test_duplicates():
r = RecyclingSet(5)
for i in xrange(10):
r.add('two')
assert len(r) == 1
def test_recycle():
r = RecyclingSet(5)
for item in ('one', 'two', 'three', 'four', 'five', 'six'): r.add(item)
assert r[0] == 'six'
assert 'one' not in r
def test_reprOfEmpty():
'''
repr() of an empty OrderedSet should not fail.
'''
repr(RecyclingSet(10))