Arguments passed to IntegralProblems are ignored

[rkube]

Hi,
I'm trying to pass arguments to my integrand when instantiating an IntegralProblem, but the integrand only ever receives a SciMLBase.NullParameters().

MWE:

using Integrals

x_d = (0.16, 0.0, 0.1)
# Detector diameter
d = 0.02 
# Source location
x_s = (0.0, 0.0, 0.05)
function distance_source_surface(r_det, r_src, r_surf)
    # Convert r_surf to cartesian coordinates: x=0, y = r cos(φ), z = r sin(φ)
    r_surf_c = (0.0, r_surf[1] * cos(r_surf[2]), r_surf[1] * sin(r_surf[2]))
    r_det .+ r_surf_c .- r_src
end


function ω(u, p)   
    r, φ = u
    @show p
    dd = sqrt(sum(abs2, distance_source_surface(x_d, x_s, (r, φ))))
    cα = (x_d[1] - x_s[1]) / dd

    return cα / dd^2
end

domain = ([-0.5 * d, 0], [0.5 * d, 2π])
prob = IntegralProblem(ω, domain, p=[2.0])
sol = solve(prob, HCubatureJL(); reltol=1e-3, abstol=1e-3)
sol.u

Output is

[...]

p = SciMLBase.NullParameters()
p = SciMLBase.NullParameters()
retcode: Success
u: 4.2620330863401925

4.2620330863401925

I would have expected that the integrand receives the parameter vector p.

Environment (please complete the following information):

• Output of using Pkg; Pkg.status()

julia> Pkg.status()
Project inverse_test v0.1.0
Status `~/julia_envs/inverse_test/Project.toml`
  [c7e460c6] ArgParse v1.2.0
⌃ [13f3f980] CairoMakie v0.12.5
  [a93c6f00] DataFrames v1.6.1
⌃ [31c24e10] Distributions v0.25.109
  [5789e2e9] FileIO v1.16.3
⌃ [587475ba] Flux v0.14.16
  [de52edbc] Integrals v4.4.1
  [b7115f24] InvertibleNetworks v2.2.9
⌃ [033835bb] JLD2 v0.4.50
  [5ab0869b] KernelDensity v0.6.9
⌅ [ee78f7c6] Makie v0.21.5
⌅ [20f20a25] MakieCore v0.8.4
  [429524aa] Optim v1.9.4
  [2913bbd2] StatsBase v0.34.3
⌃ [fce5fe82] Turing v0.33.2
  [ddb6d928] YAML v0.4.12
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated`

• Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)

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  [14d82f49] Xorg_libpthread_stubs_jll v0.1.1+0
  [c7cfdc94] Xorg_libxcb_jll v1.17.0+0
  [c5fb5394] Xorg_xtrans_jll v1.5.0+0
  [9a68df92] isoband_jll v0.2.3+0
  [a4ae2306] libaom_jll v3.9.0+0
  [0ac62f75] libass_jll v0.15.1+0
  [f638f0a6] libfdk_aac_jll v2.0.2+0
  [b53b4c65] libpng_jll v1.6.43+1
  [075b6546] libsixel_jll v1.10.3+0
  [f27f6e37] libvorbis_jll v1.3.7+2
  [1317d2d5] oneTBB_jll v2021.12.0+0
  [1270edf5] x264_jll v2021.5.5+0
  [dfaa095f] x265_jll v3.5.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [8bf52ea8] CRC32c
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [05823500] OpenLibm_jll v0.8.1+2
  [efcefdf7] PCRE2_jll v10.42.0+1
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.8.0+1
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2

• Output of versioninfo()

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 104 × Intel(R) Xeon(R) Gold 5320 CPU @ 2.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, icelake-server)
Threads: 104 default, 0 interactive, 52 GC (on 104 virtual cores)
Environment:
  JULIA_PKG_USE_CLI_GIT = true
  LD_LIBRARY_PATH_modshare = /cm/shared/apps/slurm/current/lib64:1:/cm/shared/apps/slurm/current/lib64/slurm:1:/cm/shared/apps/openmpi4/gcc/4.1.2/lib:1:/cm/shared/apps/hdf5_18/1.8.21/lib:1
  LD_RUN_PATH_modshare = /cm/shared/apps/openmpi4/gcc/4.1.2/lib:1:/cm/shared/apps/hdf5_18/1.8.21/lib:1
  LD_RUN_PATH = /cm/shared/apps/openmpi4/gcc/4.1.2/lib:/cm/shared/apps/hdf5_18/1.8.21/lib
  LD_LIBRARY_PATH = /cm/shared/apps/openmpi4/gcc/4.1.2/lib:/cm/shared/apps/hdf5_18/1.8.21/lib:/cm/shared/apps/slurm/current/lib64/slurm:/cm/shared/apps/slurm/current/lib64:/home/rkube/local/lib:/home/rkube/software/adios2/lib
  JULIA_EDITOR = code

[ChrisRackauckas]

prob = IntegralProblem(ω, domain, [2.0])

but we should catch that better

[lxvm]

The docs do have a line saying IntegralProblem(f::AbstractIntegralFunction,domain,p=NullParameters(); kwargs...), but in Julia defining a function with argument p=p0 before the semicolon means that p is an optional positional argument with default value p0. On the other hand, calling a function with an argument p=p1 passes a keyword argument p to the function with value p1, even without a semicolon. This is not an Integrals.jl bug, however we could try and make the documentation more clear by having separate "arguments" and "keywords" sections and/or changing the function signature to IntegralProblem(f::AbstractIntegralFunction,domain, [p=NullParameters()]; kwargs...) to try and make it more clear that p is an optional positional argument. What would be most helpful?

[lxvm]

Also, running this example on master will throw a keyword argument error message since a recent commit fixed #242

[ChrisRackauckas]

Interesting. Didn't know there was a released missed. Just sent out 4.5

[lxvm]

Ok! That release also has some changes to infinity transformations that may affect users. We'll see if issues come up

[lxvm]

In v4.5 the MWE will error with a useful message:

ERROR: Unrecognized keyword arguments found.
The only allowed keyword arguments to `solve` are:
(:maxiters, :abstol, :reltol)
See https://docs.sciml.ai/Integrals/stable/basics/solve/ for more details.

Unrecognized keyword arguments: [:p]