patch 1.7.4 -> 1.7.5 breaks Accelerated/MomentumGradientDescent()

[NilsNiggemann]

MWE: This works on 1.7.4 but not on 1.7.5.
The same error also occurs for MomentumGradientDescent(), but not the other solvers

julia> g(x) = -exp(-(x-pi)^2)
julia> using Optim

julia> optimize(x->g(x[1]),[0.],method = AcceleratedGradientDescent())
ERROR: BoundsError: attempt to access Bool at index [2]
Stacktrace:
 [1] getindex(x::Bool, i::Int64)
   @ Base ./number.jl:98
 [2] add_default_opts!(opts::Dict{Symbol, Any}, method::AcceleratedGradientDescent{LineSearches.InitialPrevious{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}})
   @ Optim ~/.julia/packages/Optim/29per/src/multivariate/optimize/interface.jl:24
 [3] optimize(f::Function, initial_x::Vector{Float64}; inplace::Bool, autodiff::Symbol, kwargs::Base.Pairs{Symbol, AcceleratedGradientDescent{LineSearches.InitialPrevious{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Tuple{Symbol}, NamedTuple{(:method,), Tuple{AcceleratedGradientDescent{LineSearches.InitialPrevious{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}}}})
   @ Optim ~/.julia/packages/Optim/29per/src/multivariate/optimize/interface.jl:88
 [4] top-level scope
   @ REPL[6]:1

Edit: Checked on Julia 1.8.5 and 1.9.0-rc1

[pkofod]

julia> optimize(x->g(x[1]),[0.], AcceleratedGradientDescent())
 * Status: success

 * Candidate solution
    Final objective value:     -1.000000e+00

 * Found with
    Algorithm:     Accelerated Gradient Descent

 * Convergence measures
    |x - x'|               = 1.13e-07 ≰ 0.0e+00
    |x - x'|/|x'|          = 3.59e-08 ≰ 0.0e+00
    |f(x) - f(x')|         = 1.28e-14 ≰ 0.0e+00
    |f(x) - f(x')|/|f(x')| = 1.28e-14 ≰ 0.0e+00
    |g(x)|                 = 0.00e+00 ≤ 1.0e-08

 * Work counters
    Seconds run:   0  (vs limit Inf)
    Iterations:    5
    f(x) calls:    36
    ∇f(x) calls:   36

strange, it happens when you use the method keyword only..

[pkofod]

of course. I get it. It's because the function that's at fault is only used in the kwargs version.

[pkofod]

I'll post a patch release