Huffman coding comparison

[Leandro Lucarella]

bearophile, el 28 de mayo a las 18:01 me escribiste:
> For me for one thing the D program is better than the Python version:
> the Python std lib doesn't define a mutable named tuple like that one in
> D2 (there is only one immutable and dynamically typed one), this forces
> the Python code to use all those [0] and [1:]. Anonymous structures
> sometimes make Python code shorter, but they can be less explicit too.
> Of course it's easy to define in Python a function like Tuple of Phobos2
> that accepts optional field names too.

Just for fun :)

def NamedTuple(*fields):
	class T:
		def __init__(self, *args):
			for i in range(len(args)):
				setattr(self, fields[i], args[i])
	return T

Pair = NamedTuple("symb", "code")
Block = NamedTuple("freq", "pair")
p = Pair(1, 2)
b = Block(3, p)
print p.symb, p.code, b.freq, b.pair.symb, b.pair.code

> I will keep missing array comprehensions in D. In the meantime other
> languages have got some forms of them (but Python ones use the best
> syntax still).

They are wonderful, and it's *very* hard to get used to live in a language
that doesn't support them once you start using it often.

PS: Sorry about the Python-love mail... =P

-- 
Leandro Lucarella (AKA luca)                     http://llucax.com.ar/
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