Comments (4)
nfultz
commented on June 16, 2024
Ooff. This one will be hard because lapply drops in to C - you may need to
special case it. For functions that take functions, you may need a more
flexible data structure than an adjacency matrix.
…On Sat, Jan 27, 2018 at 8:18 PM, Aaron Rudkin ***@***.***> wrote:
I believe that calls from one function to another via a *apply function
are not being recorded, possibly because the function is resolving as a
symbol rather than a language call, so it's not being picked up?
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aaronrudkin
commented on June 16, 2024
Since I just recursively process the source, I was thinking about doing it by waiting until the current parser hits a *apply call, and then extracting the second argument as though it were a function.
Edit: That won't quite work since people might do the argument by name instead of by order. So it's a little more complicated, but similar premise.
In addition, I currently don't care about anonymous or (not sure the proper name in R) inner functions, so if it ends up being something of the format vapply(junk_data, function(x) { x^3 + 1 }, numeric(1)) I don't really care. I just want to make sure I'm intercepting vapply(junk_data, some_other_package_function, numeric(1)) calls -- and I should be reasonably able to do so. Going forward it would be interesting to actually support nesting in the resulting data structure though!
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nfultz
commented on June 16, 2024
In that case , you should be able to use match.fun to resolve the symbol to
a function (or not), and use that predicate to fill out the adjacency
matrix.
…On Sun, Jan 28, 2018 at 10:49 AM, Aaron Rudkin ***@***.***> wrote:
I don't actually run any code; I just recursively process the source. As a
result, I was thinking about doing it by waiting until the current
processing hits a *apply call, and then extracting the second argument as
though it were a function. In addition, I currently don't care about
anonymous or (not sure the proper name in R) inner functions, so if it ends
up being something of the format vapply(junk_data, function(x) { x^3 + 1
}, numeric(1)) I don't really care. I just want to make sure I'm
intercepting vapply(junk_data, some_other_package_function, numeric(1))
calls -- and I should be reasonably able to do so.
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aaronrudkin
commented on June 16, 2024
match.fun didn't work for me (not sure what context I needed that I'm missing) but getAnywhere worked okay -- there are still a few weird issues but it solved the ones I was thinking of.
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