So I'm reading a bunch of rows from a huge csv file and marshalling those 
rows into maps using the first row as keys. I wrote the function two 
ways: https://gist.github.com/MichaelBlume/c67d22df0ff9c225d956 and the 
version with eval is twice as fast and I'm kind of curious about why. 
Presumably the eval'd function still implicitly contains a list of keys, 
it's still implicitly treating each row as a seq and walking it, so I'm 
wondering what the seq-destructuring and the map literal are doing under 
the hood that's faster.

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