Fix pretty printing and ReverseDiff constructor

[gdalle]

Checklist

• Appropriate tests were added
• Any code changes were done in a way that does not break public API
• All documentation related to code changes were updated
• The new code follows the
  contributor guidelines, in particular the SciML Style Guide and
  COLPRAC.
• Any new documentation only uses public API

Additional context

Fix #65 and #66

Should we test the round-trip-ability of these printings by parsing the string back into an object?

[gdalle]

Code

import ADTypes

struct FakeSparsityDetector <: ADTypes.AbstractSparsityDetector end
struct FakeColoringAlgorithm <: ADTypes.AbstractColoringAlgorithm end

for backend in [
    # dense
    ADTypes.AutoChainRules(; ruleconfig = :rc),
    ADTypes.AutoDiffractor(),
    ADTypes.AutoEnzyme(),
    ADTypes.AutoEnzyme(mode = :forward),
    ADTypes.AutoFastDifferentiation(),
    ADTypes.AutoFiniteDiff(),
    ADTypes.AutoFiniteDiff(fdtype = :fd, fdjtype = :fdj, fdhtype = :fdh),
    ADTypes.AutoFiniteDifferences(; fdm = :fdm),
    ADTypes.AutoForwardDiff(),
    ADTypes.AutoForwardDiff(chunksize = 3, tag = :tag),
    ADTypes.AutoPolyesterForwardDiff(),
    ADTypes.AutoPolyesterForwardDiff(chunksize = 3, tag = :tag),
    ADTypes.AutoReverseDiff(),
    ADTypes.AutoReverseDiff(compile = true),
    ADTypes.AutoSymbolics(),
    ADTypes.AutoTapir(),
    ADTypes.AutoTapir(safe_mode = false),
    ADTypes.AutoTracker(),
    ADTypes.AutoZygote(),
    # sparse
    ADTypes.AutoSparse(ADTypes.AutoForwardDiff()),
    ADTypes.AutoSparse(
        ADTypes.AutoForwardDiff();
        sparsity_detector = FakeSparsityDetector(),
        coloring_algorithm = FakeColoringAlgorithm()
    )
]
    println(backend)
end

Before (1.5.1) (note the unpredictable presence of the package name)

AutoChainRules(ruleconfig=:rc)
ADTypes.AutoDiffractor()
AutoEnzyme()
AutoEnzyme(mode=:forward)
ADTypes.AutoFastDifferentiation()
AutoFiniteDiff()
AutoFiniteDiff(fdtype=:fd, fdjtype=:fdj, fdhtype=:fdh)
AutoFiniteDifferences(fdm=:fdm)
AutoForwardDiff()
AutoForwardDiff(chunksize=3, tag=:tag)
AutoPolyesterForwardDiff()
AutoPolyesterForwardDiff(chunksize=3, tag=:tag)
AutoReverseDiff()
AutoReverseDiff(compile=true)
ADTypes.AutoSymbolics()
AutoTapir()
AutoTapir(safe_mode=false)
ADTypes.AutoTracker()
ADTypes.AutoZygote()
AutoSparse(dense_ad=AutoForwardDiff())
AutoSparse(dense_ad=AutoForwardDiff(), sparsity_detector=FakeSparsityDetector(), coloring_algorithm=FakeColoringAlgorithm()))

After (this PR, 1.5.2)

ADTypes.AutoChainRules(ruleconfig=:rc)
ADTypes.AutoDiffractor()
ADTypes.AutoEnzyme()
ADTypes.AutoEnzyme(mode=:forward)
ADTypes.AutoFastDifferentiation()
ADTypes.AutoFiniteDiff()
ADTypes.AutoFiniteDiff(fdtype=:fd, fdjtype=:fdj, fdhtype=:fdh)
ADTypes.AutoFiniteDifferences(fdm=:fdm)
ADTypes.AutoForwardDiff()
ADTypes.AutoForwardDiff(chunksize=3, tag=:tag)
ADTypes.AutoPolyesterForwardDiff()
ADTypes.AutoPolyesterForwardDiff(chunksize=3, tag=:tag)
ADTypes.AutoReverseDiff()
ADTypes.AutoReverseDiff(compile=true)
ADTypes.AutoSymbolics()
ADTypes.AutoTapir()
ADTypes.AutoTapir(safe_mode=false)
ADTypes.AutoTracker()
ADTypes.AutoZygote()
ADTypes.AutoSparse(dense_ad=ADTypes.AutoForwardDiff())
ADTypes.AutoSparse(dense_ad=ADTypes.AutoForwardDiff(), sparsity_detector=FakeSparsityDetector(), coloring_algorithm=FakeColoringAlgorithm())

[ChrisRackauckas]

These don't show the Val?

[gdalle]

Yes they do, there's just no Val in the test case I displayed above. Take a look here:

julia> string(AutoFiniteDiff(fdjtype=Val(:whatever)))
"AutoFiniteDiff(fdjtype=Val{:whatever}(), )"

[gdalle]

@ChrisRackauckas I think this one is a strict improvement over the current state, what do you say?

[Vaibhavdixit02]

LGTM