def __compute():
if test == _DIRECT:
return dot_product(pl1, pl2)
if test == _HAND:
return pl2.map2(mul, pl1).reduce(add, 0)
if test == _EVAL:
return dot_product(PList.raw(pl1),
PList.raw(pl2),
uncurry=opt.uncurry).eval()
return dot_product(PList.raw(pl1), PList.raw(pl2),
uncurry=opt.uncurry).run()
def __compute():
if test == _DIRECT:
return opt_dot_product(pl1, pl2)
if test == _HAND:
return dot_product(pl1, pl2)
if test == _EVAL:
return opt_dot_product(PList.raw(pl1),
PList.raw(pl2),
uncurry=opt.uncurry).eval()
return opt_dot_product(PList.raw(pl1),
PList.raw(pl2),
uncurry=opt.uncurry).run()
def _test_mmr_optimized(lst):
if SEQ:
lst1 = OSList.raw(lst)
else:
lst1 = OPList.raw(lst)
lst2 = lst1.map(_f_map)
lst3 = lst2.map(_f_map)
res = lst3.reduce(_f_reduce, 0)
return res
def _wrapped_vavg(lst):
scalar = 1 / lst.length()
lst = OSList.raw(lst) if SEQ else OPList.raw(lst)
skel = _vnsum(lst).opt()
res = smul(scalar, skel.eval())
return res
def _test_bool_optimized(lst):
if SEQ:
lst = OSList.raw(lst)
else:
lst = OPList.raw(lst)
return _test_bool_direct(lst)
def test_plist_with_raw():
# pylint: disable=missing-docstring
input_list = DPList.init(idt, 42)
exp = input_list.map(incr).map(incr).reduce(add)
res = PList.raw(input_list).map(incr).map(incr).reduce(add).run()
assert res == exp
def test_plist():
# pylint: disable=missing-docstring
exp = DPList.init(idt, 10).map(incr).map(incr).reduce(add)
res = PList.init(idt, 10).map(incr).map(incr).reduce(add).run()
assert res == exp
def test_plist_constructor():
# pylint: disable=missing-docstring
exp = DPList().to_seq()
res = PList().to_seq().run()
assert res == exp