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lib/NonlinearSolveBase/src/solve.jl

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# const allowedkeywords = (:dense,
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# :saveat,
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# :save_idxs,
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# :tstops,
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# :tspan,
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# :d_discontinuities,
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# :save_everystep,
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# :save_on,
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# :save_start,
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# :save_end,
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# :initialize_save,
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# :adaptive,
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# :abstol,
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# :reltol,
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# :dt,
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# :dtmax,
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# :dtmin,
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# :force_dtmin,
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# :internalnorm,
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# :controller,
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# :gamma,
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# :beta1,
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# :beta2,
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# :qmax,
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# :qmin,
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# :qsteady_min,
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# :qsteady_max,
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# :qoldinit,
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# :failfactor,
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# :calck,
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# :alias_u0,
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# :maxiters,
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# :maxtime,
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# :callback,
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# :isoutofdomain,
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# :unstable_check,
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# :verbose,
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# :merge_callbacks,
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# :progress,
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# :progress_steps,
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# :progress_name,
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# :progress_message,
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# :progress_id,
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# :timeseries_errors,
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# :dense_errors,
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# :weak_timeseries_errors,
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# :weak_dense_errors,
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# :wrap,
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# :calculate_error,
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# :initializealg,
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# :alg,
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# :save_noise,
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# :delta,
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# :seed,
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# :alg_hints,
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# :kwargshandle,
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# :trajectories,
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# :batch_size,
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# :sensealg,
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# :advance_to_tstop,
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# :stop_at_next_tstop,
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# :u0,
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# :p,
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# # These two are from the default algorithm handling
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# :default_set,
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# :second_time,
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# # This is for DiffEqDevTools
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# :prob_choice,
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# # Jump problems
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# :alias_jump,
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# # This is for copying/deepcopying noise in StochasticDiffEq
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# :alias_noise,
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# # This is for SimpleNonlinearSolve handling for batched Nonlinear Solves
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# :batch,
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# # Shooting method in BVP needs to differentiate between these two categories
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# :nlsolve_kwargs,
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# :odesolve_kwargs,
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# # If Solvers which internally use linsolve
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# :linsolve_kwargs,
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# # Solvers internally using EnsembleProblem
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# :ensemblealg,
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# # Fine Grained Control of Tracing (Storing and Logging) during Solve
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# :show_trace,
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# :trace_level,
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# :store_trace,
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# # Termination condition for solvers
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# :termination_condition,
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# # For AbstractAliasSpecifier
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# :alias,
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# # Parameter estimation with BVP
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# :fit_parameters)
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# const KWARGWARN_MESSAGE = """
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# Unrecognized keyword arguments found.
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# The only allowed keyword arguments to `solve` are:
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# $allowedkeywords
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# See https://docs.sciml.ai/NonlinearSolve/stable/basics/solve/ for more details.
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# Set kwargshandle=KeywordArgError for an error message.
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# Set kwargshandle=KeywordArgSilent to ignore this message.
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# """
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# const KWARGERROR_MESSAGE = """
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# Unrecognized keyword arguments found.
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# The only allowed keyword arguments to `solve` are:
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# $allowedkeywords
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# See https://docs.sciml.ai/NonlinearSolve/stable/basics/solve/ for more details.
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# """
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# struct CommonKwargError <: Exception
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# kwargs::Any
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# end
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# function Base.showerror(io::IO, e::CommonKwargError)
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# println(io, KWARGERROR_MESSAGE)
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# notin = collect(map(x -> x ∉ allowedkeywords, keys(e.kwargs)))
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# unrecognized = collect(keys(e.kwargs))[notin]
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# print(io, "Unrecognized keyword arguments: ")
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# printstyled(io, unrecognized; bold = true, color = :red)
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# print(io, "\n\n")
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# println(io, TruncatedStacktraces.VERBOSE_MSG)
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# end
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# @enum KeywordArgError KeywordArgWarn KeywordArgSilent
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# const INCOMPATIBLE_U0_MESSAGE = """
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# Initial condition incompatible with functional form.
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# Detected an in-place function with an initial condition of type Number or SArray.
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# This is incompatible because Numbers cannot be mutated, i.e.
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# `x = 2.0; y = 2.0; x .= y` will error.
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# If using a immutable initial condition type, please use the out-of-place form.
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# I.e. define the function `du=f(u,p,t)` instead of attempting to "mutate" the immutable `du`.
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# If your differential equation function was defined with multiple dispatches and one is
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# in-place, then the automatic detection will choose in-place. In this case, override the
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# choice in the problem constructor, i.e. `ODEProblem{false}(f,u0,tspan,p,kwargs...)`.
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# For a longer discussion on mutability vs immutability and in-place vs out-of-place, see:
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# https://diffeq.sciml.ai/stable/tutorials/faster_ode_example/#Example-Accelerating-a-Non-Stiff-Equation:-The-Lorenz-Equation
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# """
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# struct IncompatibleInitialConditionError <: Exception end
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# function Base.showerror(io::IO, e::IncompatibleInitialConditionError)
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# print(io, INCOMPATIBLE_U0_MESSAGE)
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# println(io, TruncatedStacktraces.VERBOSE_MSG)
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# end
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# const NO_DEFAULT_ALGORITHM_MESSAGE = """
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# Default algorithm choices require NonlinearSolve.jl.
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# Please specify an algorithm (e.g., `solve(prob, NewtonRaphson())` or
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# init(prob, NewtonRaphson()) or
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# import NonlinearSolve.jl directly.
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# You can find the list of available solvers at https://diffeq.sciml.ai/stable/solvers/ode_solve/
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# and its associated pages.
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# """
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# struct NoDefaultAlgorithmError <: Exception end
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# function Base.showerror(io::IO, e::NoDefaultAlgorithmError)
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# print(io, NO_DEFAULT_ALGORITHM_MESSAGE)
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# println(io, TruncatedStacktraces.VERBOSE_MSG)
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# end
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# const NON_SOLVER_MESSAGE = """
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# The arguments to solve are incorrect.
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# The second argument must be a solver choice, `solve(prob,alg)`
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# where `alg` is a `<: AbstractDEAlgorithm`, e.g. `Tsit5()`.
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# Please double check the arguments being sent to the solver.
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# You can find the list of available solvers at https://diffeq.sciml.ai/stable/solvers/ode_solve/
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# and its associated pages.
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# """
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# struct NonSolverError <: Exception end
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# function Base.showerror(io::IO, e::NonSolverError)
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# print(io, NON_SOLVER_MESSAGE)
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# println(io, TruncatedStacktraces.VERBOSE_MSG)
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# end
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# const DIRECT_AUTODIFF_INCOMPATABILITY_MESSAGE = """
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# Incompatible solver + automatic differentiation pairing.
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# The chosen automatic differentiation algorithm requires the ability
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# for compiler transforms on the code which is only possible on pure-Julia
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# solvers such as those from OrdinaryDiffEq.jl. Direct differentiation methods
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# which require this ability include:
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# - Direct use of ForwardDiff.jl on the solver
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# - `ForwardDiffSensitivity`, `ReverseDiffAdjoint`, `TrackerAdjoint`, and `ZygoteAdjoint`
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# sensealg choices for adjoint differentiation.
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# Either switch the choice of solver to a pure Julia method, or change the automatic
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# differentiation method to one that does not require such transformations.
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# For more details on automatic differentiation, adjoint, and sensitivity analysis
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# of differential equations, see the documentation page:
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# https://diffeq.sciml.ai/stable/analysis/sensitivity/
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# """
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# struct DirectAutodiffError <: Exception end
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# function Base.showerror(io::IO, e::DirectAutodiffError)
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# println(io, DIRECT_AUTODIFF_INCOMPATABILITY_MESSAGE)
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# println(io, TruncatedStacktraces.VERBOSE_MSG)
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# end
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struct EvalFunc{F} <: Function
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f::F
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end

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