print the code which defined a lambda function

Why do you want to do this?

I guess you could use the “dis” module to disassemble your code to python bytecode, but it’s probably not what you want.

http://www.python.org/doc/2.5.2/lib/module-dis.html

Again, I can’t see the use case for this. Perhaps eval() is more suited for your problem. It is built in, and then you can use strings to pass code around in your code.

That will be very difficult, because your lambda function will be compiled to bytecode, and your myfunction object will only be pointing to the bytecode and not the human-readable code that you wrote.

For example, if you define 2 functions, one using lambda syntax and one using a def statement, as follows:

>>> lambda_func = lambda x: x==2
>>> def def_func(x): return x == 2
...

These 2 objects (lambda_func and def_func) will be equivalent as far as python is concerned. In fact, if you go ahead and disassemble them using the dis module (as rebra suggested), you will get identical results:

>>> import dis
>>> dis.dis(lambda_func)
  1           0 LOAD_FAST                0 (x)
              3 LOAD_CONST               1 (2)
              6 COMPARE_OP               2 (==)
              9 RETURN_VALUE
>>> dis.dis(def_func)
  1           0 LOAD_FAST                0 (x)
              3 LOAD_CONST               1 (2)
              6 COMPARE_OP               2 (==)
              9 RETURN_VALUE

That being the case, you can see how it would be difficult to obtain the original code when it’s a many to one relationship

How’s this?

class MyLambda( object ):
    def __init__( self, body ):
        self.body= body
    def __call__( self, arg ):
        x = arg
        return eval( self.body )
    def __str__( self ):
        return self.body

f= MyLambda( "x == 2" )
print f(1)
print f(2)
print f

It will only work for mathematical based operations, but you might look at SymPy‘s Lambda() object. It was designed exactly for this purpose:

>>> from sympy import *
>>> x = Symbol('x')
>>> l = Lambda(x, x**2)
>>> l
Lambda(_x, _x**2)
>>> l(3)
9

It even supports pretty printing:

>>> pprint(l)
 ⎛    2⎞
Λ⎝x, x ⎠

To do your equals example, us the SymPy Eq() object:

>>> l1 = Lambda(x, Eq(x, 2))
>>> l1
Lambda(_x, _x == 2)
>>> l1(2)
True

It supports partial argument expansion:

>>> y = Symbol('y')
>>> l2 = Lambda((x, y), x*y + x)
>>> l2(1)
Lambda(_y, 1 + _y)
>>> l2(1, 2)
3

And of course, you get the advantage of getting all of SymPy’s computer algebra:

>>> l3 = Lambda(x, sin(x*pi/3))
>>> pprint(l3(1))
  ⎽⎽⎽
╲╱ 3 
─────
  2  

By the way, if this sounds like a shameless plug, it’s because it is. I am one of the developers of SymPy.

While I’d generally agree that inspect is a good answer, I’d disagree that you can’t get the source code of objects defined in the interpreter. If you use dill.source.getsource from dill, you can get the source of functions and lambdas, even if they are defined interactively.
It also can get the code for from bound or unbound class methods and functions defined in curries… however, you might not be able to compile that code without the enclosing object’s code.

>>> from dill.source import getsource
>>> 
>>> def add(x,y):
...   return x+y
... 
>>> squared = lambda x:x**2
>>> 
>>> print getsource(add)
def add(x,y):
  return x+y

>>> print getsource(squared)
squared = lambda x:x**2

>>> 
>>> class Foo(object):
...   def bar(self, x):
...     return x*x+x
... 
>>> f = Foo()
>>> 
>>> print getsource(f.bar)
def bar(self, x):
    return x*x+x

>>>