I hate translating numpy notebooks to Julia.

I then spent about 2 afternoons packing 20 regexes in to a trenchcoat and calling it a Julia package so that others may join me in not fiddling with indexing of nasty, nasty "vectorized" code.

My code is quite naive - it tries to be a bit smart about line by line regex replacing, and doesn't really handle global context or self rewriting - yet.

Use entirely at your own risk, and see some of the tests/runtests.jl to see what the package can help you out with.

For example, this code in test/

for i in range(0, self.n_grid-1):
    for j in range(0, self.n_grid-1):
        for k in range(0, self.n_grid-1):
            delta_x = x[i, -1] ** 2 + y[j, -2] ** 2 + z[k, -3] ** 2

will be turned into this with denumpyfy("")

for i in 1:self.n_grid
    for j in 1:self.n_grid
        for k in 1:self.n_grid
            Δ_x end-2k, end-2k = x[i, end] ^ 2 + y[j, end-1] ^ 2 + z[k, end-2] ^ 2

in a new file puncture.jl.

There's replace rules for array indexing (with 1-index bumping), some ascii -> Unicode replacements, range(0,n-1): to 1:n, and the obvious arithmetic ** to ^.


You should be sponsoring me not reading this


If you want to see more of this work, consider sponsoring me via Github sponsors.


This work was done via nerdsnipe and support of Brenhin Keller.