def test_array_copy_listener():
a = ndl([-0.5, 0.1, 1.1])
class Watcher(object):
def __init__(self):
self.called_me = False
def __call__(self):
self.called_me = True
you0 = Watcher()
you1 = Watcher()
a.talk_to(you0)
b = ndl(a)
assert_(not you0.called_me)
b[0] = 1.0
assert_(you0.called_me)
b.talk_to(you1)
assert_(not you1.called_me)
a[0] = 1.0
assert_(you1.called_me)
def test_scalar_copy_listener():
a = ndl(-0.5)
class Watcher(object):
def __init__(self):
self.called_me = False
def __call__(self):
self.called_me = True
you0 = Watcher()
you1 = Watcher()
a.talk_to(you0)
b = ndl(a)
assert_(not you0.called_me)
b.itemset(1.0)
assert_(you0.called_me)
b.talk_to(you1)
assert_(not you1.called_me)
a.itemset(1.0)
assert_(you1.called_me)
def test_notification():
a = np.array([-0.5, 0.1, 1.1])
b = ndl(a)
c = ndl(np.array([-0.5, 0.1, 1.1]))
class Watcher(object):
def __init__(self):
self.called_me = False
def __call__(self):
self.called_me = True
w = Watcher()
b.talk_to(w)
assert_(not w.called_me)
b[0] = 1.2
assert_(w.called_me)
w = Watcher()
b.talk_to(w)
assert_(not w.called_me)
b[:] = 1
assert_(w.called_me)
w = Watcher()
c.talk_to(w)
assert_(not w.called_me)
c[:] = c + c
assert_(w.called_me)
def test_operations():
a = np.array([-0.5, 0.1, 1.1])
b = ndl(a)
c = ndl(np.array([-0.5, 0.1, 1.1]))
assert_array_almost_equal(a - b, [0, 0, 0])
assert_array_almost_equal(a, b)
assert_array_almost_equal(a, c)
assert_array_almost_equal(b - c, [0, 0, 0])
def test_printing(capsys):
a = ndl(np.array([-0.5, 0.1, 1.1]))
print(a)
out, _ = capsys.readouterr()
assert_equal(out, "[-0.5 0.1 1.1]\n")
print([a])
out, _ = capsys.readouterr()
assert_equal(out, "[ndl([-0.5, 0.1, 1.1])]\n")
a = ndl(np.float64(1.0))
print(a)
out, _ = capsys.readouterr()
assert_equal(out, "1.0\n")
def __getattr__(self, name):
from ndarray_listener import ndl
if name == "value":
v = ndl(Vector.__dict__["raw"].__get__(self))
for l in self._listeners:
v.talk_to(l)
return v
return Vector.__dict__[name].__get__(self)
def __init__(self, value):
from ndarray_listener import ndl
from numpy import float64, inf
self._bounds = (-inf, +inf)
self._fixed = False
value = ndl(float64(value))
self.raw = value
self.__array_interface__ = value.__array_interface__
self.__array_struct__ = value.__array_struct__
def __init__(self, value):
from numpy import asarray, atleast_1d, inf
from ndarray_listener import ndl
self._bounds = [(-inf, +inf)] * len(value)
self._fixed = False
value = asarray(value, float)
value = ndl(atleast_1d(value).ravel())
self.raw = value
self.__array_interface__ = value.__array_interface__
self.__array_struct__ = value.__array_struct__
def test_weakref_proxymethod():
a = ndl(np.array([-0.5, 0.1, 1.1]))
class Watcher(object):
def __init__(self):
self.called_me = False
def call_me(self):
self.called_me = True
w = Watcher()
a.talk_to(w.call_me)
assert_(not w.called_me)
a[0] = 1.2
assert_(w.called_me)
del w
a[0] = 1.3
def test_iterator():
a = ndl([-0.5, 0.1, 1.1])
assert_(isinstance(next(iter(a)), float64))
def test_itemset():
a = ndl(-0.5)
a.itemset(1.0)
assert_array_almost_equal(a, [1])
