Application targets for the dn-m project.
dn-m / plan Goto Github PK
View Code? Open in Web Editor NEWRepository for planning the development of the dn-m project.
License: MIT License
Repository for planning the development of the dn-m project.
License: MIT License
It is now worthwhile to interrogate the performance of some of the underlying data structures and algorithms for this project.
@brianlheim cooked up a really nice XCTestCase
subclass for testing the linear complexity of a given operation over a given data structure, prepared in a given way.
I think this could be abstracted even further, making it painless to add performance tests in parallel to logic tests.
final class Measuring<T> {
enum Result {
case success
case failure(expected: Complexity, result: String)
}
enum Complexity {
case constant
case logarithmic
case linear
case quasiLinear
case quadratic
case cubic
case exponential
case factorial
}
var resource: T
init(_ resource: T, setUp: ((inout T) -> Void)? = nil) {
self.resource = resource
setUp?(&self.resource)
}
@discardableResult func assertComplexity <U> (
_ complexity: Complexity,
setUp: ((inout T) -> Void)? = nil,
for operation: (T) -> U
) -> Measuring
{
// assert ...
return self
}
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