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Implement some statistics from 'Multiple Dispatch in Practice' in Julia
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#Computes the dispatch ratio for each generic function defined in a module | |
#all: iterate over exported methods, or all methods? | |
function dispatchratio(M::Module=Base, all=false) | |
methodcount = Dict{Symbol, Int}() | |
for name in names(M, all) | |
try #name may not represent a function or function-able type | |
methodcount[name] = length(methods(eval(M, name))) | |
catch continue end | |
end | |
methodcount | |
end | |
const exported_functions_only = true | |
#Compute mean dispatch ratios by module | |
dr_ave = Dict{Symbol, (Float64, Int)}() | |
for name in names(Base, !exported_functions_only) | |
try #names(..., true) picks up some undefined symbols?! | |
obj = eval(Base, name) | |
if typeof(obj) == Module | |
dr = dispatchratio(obj, !exported_functions_only) | |
dr_ave[name] = length(dr)==0 ? (0.0, 0) : (mean(values(dr)), length(dr)) | |
end | |
catch continue end | |
end | |
println("Mean dispatch ratios by module") | |
for name in sort([keys(dr_ave)...]) | |
@printf("%20s: %8.4f (N = %4d)\n", name, dr_ave[name][1], dr_ave[name][2]) | |
end |
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