def choose(selector, population, output=None):
"""choose() picks the elements of the tuple of arrays 'population'
which are specified by the 'selector' array. The shape of the
output array is determined by the broadcasting the selector with
all of the population arrays.
>>> choose(_nc.arange(5)%2, ("t", 1))
ObjectArray(['t', 1, 't', 1, 't'])
>>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v"))
ObjectArray([['t', 'u'],
['v', 'v'],
['t', 'u']])
>>> a = ObjectArray(shape=(3,2))
>>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v"), a); a
ObjectArray([['t', 'u'],
['v', 'v'],
['t', 'u']])
"""
if not isinstance(selector, _nc.NumArray):
selector = _nc.fromlist(selector)
population = list(population)
for i in xrange(len(population)):
p = population[i]
if not isinstance(p, _gen.NDArray):
population[i] = fromlist([population[i]])
inputs = _gen._nWayBroadcast([selector] + population)
selector, population = inputs[0], inputs[1:]
if output is None:
output0 = ObjectArray(shape=selector.shape)
else:
output0 = output
_choose(selector, tuple(population), output0)
if output is None:
return output0
def choose(selector, population, output=None):
"""choose() picks the elements of the tuple of arrays 'population'
which are specified by the 'selector' array. The shape of the
output array is determined by the broadcasting the selector with
all of the population arrays.
>>> choose(_nc.arange(5)%2, ("t", 1))
ObjectArray(['t', 1, 't', 1, 't'])
>>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v"))
ObjectArray([['t', 'u'],
['v', 'v'],
['t', 'u']])
>>> a = ObjectArray(shape=(3,2))
>>> choose(_nc.arange(3, shape=(3,1))%2, (fromlist(["t","u"]), "v"), a); a
ObjectArray([['t', 'u'],
['v', 'v'],
['t', 'u']])
"""
if not isinstance(selector, _nc.NumArray):
selector = _nc.fromlist(selector)
population = list(population)
for i in xrange(len(population)):
p = population[i]
if not isinstance(p, _gen.NDArray):
population[i] = fromlist([population[i]])
inputs = _gen._nWayBroadcast([selector] + population)
selector, population = inputs[0], inputs[1:]
if output is None:
output0 = ObjectArray(shape=selector.shape)
else:
output0 = output
_choose(selector, tuple(population), output0)
if output is None:
return output0
def _argsort(objects, witness):
if len(objects._shape) == 1:
lo = objects.tolist()
lw = range(len(lo))
z = zip(lo, lw)
z.sort()
sw = [w for o, w in z]
w = _nc.fromlist(sw)
witness._copyFrom(w)
else:
for i in xrange(objects._shape[0]):
_argsort(objects[i], witness[i])
def _argsort(objects, witness):
if len(objects._shape) == 1:
lo = objects.tolist()
lw = range(len(lo))
z = zip(lo, lw)
z.sort()
sw = [w for o, w in z]
w = _nc.fromlist(sw)
witness._copyFrom(w)
else:
for i in xrange(objects._shape[0]):
_argsort(objects[i], witness[i])