Hi I am new to functional programming. What i did is
>>> g=lambda x:x*2
>>> f=g
>>> g=lambda x:f(f(x))
>>> g(9)
36
When you do f = g
for the second time, f becomes lambda x: f(x)
. Closures are created by name, not by value.
This becomes easy with a helper function:
def compose(f, g):
return lambda x: f(g(x))
square = lambda x:x*2
g = square
for i in xrange(4):
g = compose(g, square)
This
g=lambda x:x*2
f=g
g=lambda x:f(x)
is equivalent to:
f=lambda x:x*2
g=lambda x:f(x)
When you call g
, you get whatever f
happens to be defined in the global (or enclosing) scope.
what you're expecting is something like:
f=lambda x:x*2
g=lambda x, f=f:f(x)
That captures the value of f in the outer scope at the time the lambda
expression is evaluated.
In python, variables are names mapped to values, not values themselves (everything is a reference). Also, you can think of lambda as storing text that can be evaluated. The following will illustrate
a = 2
f = lambda x: a*x
f(2) # This gives 4
a = 3
f(2) # This gives 6
This should clear up why you are getting infinite recursion.
In answer to your question about recursing, here is a little hack that might do
g = lambda x, n: n > 0 and g(x, n-1)**2 or x
Then g(2,3)
would be (((2)^2)^2)^2 = 256
.