[Python] Why does Psyco use a lot of memory?

Psyco is a specialising compiler for Python. The documentation states

Psyco can and will use large amounts of memory.
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What are the main reasons for this memory usage? Is substantial memory overhead a feature of JIT compilers in general?

Edit: Thanks for the answers so far. There are three likely contenders.

• Writing multiple specialised blocks, each of which require memory
• Overhead due to compiling source on the fly
• Overhead due to capturing enough data to do dynamic profiling

The question is, which one is the dominant factor in memory usage? I have my own opinion. But I'm adding a bounty, because I'd like to accept the answer that's actually correct! If anyone can demonstrate or prove where the majority of the memory is used, I'll accept it. Otherwise whoever the community votes for will be auto-accepted at the end of the bounty.

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