def test_at3_and_ope_mul(self):
self.assertEqual(
self.cplx.at( [ 'b','c' ], mul(-1) ),
-3.0
)
else:
real_func = funct
dst.build_path(*(list(coord.dst) + [real_func(src.at(coord.src))]))
return dst
if "__main__" == __name__:
from VectorDict import convert_tree
from Operation import identity, mul, cast
a = convert_tree({"a": {"b": 1, "c": 2}, "b": 0})
a.pprint()
print a.at(["a", "c"])
m = SparseMatrix(
(tuple(["a", "b"]), tuple(["mul", "neg2"]), mul(-2)),
(tuple(["a", "c"]), tuple(["mul", "misplaced"]), cast(float)),
(tuple(["b"]), tuple(["a"]), lambda x: -4),
(tuple(["a"]), tuple(["a_dict"]), identity),
)
m.pprint()
print "**************"
print m(a)
m(a).pprint()
print "iiiiiiiiiiiiiiiiiiiiiiiiiiiii"
w = SparseMatrix()
w[Coordinates(src=tuple([]), dst=tuple(["a_copy"]))] = identity
w[Coordinates(src=tuple([]), dst=tuple(["inception"]))] = m.copy()
w(a).pprint()
# approach 1
import Operation
Operation.add(10, 20) #30
Operation.mul(10, 30) #300
# approach 2
from Operation import add, mul
add(10, 30) #40
mul(10, 40) #400
# approach 3
from Operation import *
add(10, 30) #40
mul(10, 40) #400
print("-----------########------------")
#appraoch 1
import Animal
import Bird
Animal.fly() #animal cant fly
Animal.color() #animal is black
Bird.fly() #bird cant fly
Bird.color() #bird is green
#approach 2
from Animal import *