Format everything

[ChrisRackauckas]

No description provided.

[github-actions]

Remaining comments which cannot be posted as a review comment to avoid GitHub Rate Limit

JuliaFormatter

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 157 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 169 to 171 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 187 in 94d54ec

radius_update_schemes=[

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 228 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 234 to 236 in 94d54ec

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol=solve_oop(newton_fails, u0, p; solver = TrustRegion())

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 242 to 251 in 94d54ec

	max_trust_radius=[10.0, 100.0, 1000.0]
	initial_trust_radius=[10.0, 1.0, 0.1]
	step_threshold=[0.0, 0.01, 0.25]
	shrink_threshold=[0.25, 0.3, 0.5]
	expand_threshold=[0.5, 0.8, 0.9]
	shrink_factor=[0.1, 0.3, 0.5]
	expand_factor=[1.5, 2.0, 3.0]
	max_shrink_times=[10, 20, 30]
	list_of_options=zip(

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 257 in 94d54ec

alg=TrustRegion(;

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 264 in 94d54ec

sol=solve_oop(quadratic_f, [1.0, 1.0], 2.0; solver = alg)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 266 in 94d54ec

err=maximum(abs, quadratic_f(sol.u, 2.0))

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 272 to 273 in 94d54ec

	maxiterations=[2, 3, 4, 5]
	u0=[1.0, 1.0]

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 291 to 293 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 349 to 351 in 94d54ec

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol=solve_oop(newton_fails, u0, p; solver = LevenbergMarquardt())

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 357 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 365 to 367 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 378 to 386 in 94d54ec

	damping_initial=[0.5, 2.0, 5.0]
	damping_increase_factor=[1.5, 3.0, 10.0]
	damping_decrease_factor=Float64[2, 5, 10.0]
	finite_diff_step_geodesic=[0.02, 0.2, 0.3]
	α_geodesic=[0.6, 0.8, 0.9]
	b_uphill=Float64[0, 1, 2]
	min_damping_D=[1e-12, 1e-9, 1e-4]
	list_of_options=zip(

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 391 in 94d54ec

alg=LevenbergMarquardt(;

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 398 in 94d54ec

sol=solve_oop(quadratic_f, [1.0, 1.0], 2.0; solver = alg, maxiters = 10000)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 400 in 94d54ec

err=maximum(abs, quadratic_f(sol.u, 2.0))

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 433 to 434 in 94d54ec

	Δ=Tridiagonal(-ones(99), 2*ones(100), -ones(99))
	return u+0.1*u .* Δ*u-p

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 438 to 439 in 94d54ec

	Δ=Tridiagonal(-ones(99), 2*ones(100), -ones(99))
	du.=u+0.1*u .* Δ*u-p

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 444 to 445 in 94d54ec

	Δ=Tridiagonal(-ones(99), 2*ones(100), -ones(99))
	return v+0.1*(u .* Δ*v+v .* Δ*u)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 450 to 451 in 94d54ec

	Δ=Tridiagonal(-ones(99), 2*ones(100), -ones(99))
	du.=v+0.1*(u .* Δ*v+v .* Δ*u)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 455 in 94d54ec

u0=rand(100)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 457 to 459 in 94d54ec

	prob=NonlinearProblem(NonlinearFunction{false}(F; jvp = JVP), u0, u0)
	sol=solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err=maximum(abs, sol.resid)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 462 in 94d54ec

sol=solve(

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 466 in 94d54ec

err=maximum(abs, sol.resid)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Lines 469 to 471 in 94d54ec

	prob=NonlinearProblem(NonlinearFunction{true}(F!; jvp = JVP!), u0, u0)
	sol=solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err=maximum(abs, sol.resid)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 474 in 94d54ec

sol=solve(

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 478 in 94d54ec

err=maximum(abs, sol.resid)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/sparsity_tests.jl

Lines 21 to 27 in 94d54ec

	j,
	1] = alpha *
	(u[im1, j, 1] + u[ip1, j, 1] + u[i, jp1, 1] + u[i, jm1, 1] -
	4u[i, j, 1]) +
	B +
	u[i, j, 1]^2 * u[i, j, 2] - (A + 1) * u[i, j, 1] +
	brusselator_f(x, y)

---

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NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/sparsity_tests.jl

Lines 29 to 32 in 94d54ec

	j,
	2] = alpha *
	(u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/src/NonlinearSolveQuasiNewton.jl

Line 53 in 94d54ec

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 14 in 94d54ec

u0s=([1.0, 1.0], @SVector[1.0, 1.0], 1.0)

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 64 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 72 to 74 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 139 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 147 to 149 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 214 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 224 to 226 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/src/NonlinearSolveSpectralMethods.jl

Line 37 in 94d54ec

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/src/dfsane.jl

Line 25 in 94d54ec

fn_1, n, x_n, f_n) -> fn_1 / n^2

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 11 in 94d54ec

u0s=([1.0, 1.0], @SVector[1.0, 1.0], 1.0)

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 35 in 94d54ec

p=range(0.01, 2, length = 200)

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 41 to 43 in 94d54ec

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol=solve_oop(newton_fails, u0, p; solver = DFSane())

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 49 to 59 in 94d54ec

	σ_min=[1e-10, 1e-5, 1e-4]
	σ_max=[1e10, 1e5, 1e4]
	σ_1=[1.0, 0.5, 2.0]
	M=[10, 1, 100]
	γ=[1e-4, 1e-3, 1e-5]
	τ_min=[0.1, 0.2, 0.3]
	τ_max=[0.5, 0.8, 0.9]
	nexp=[2, 1, 2]
	η_strategy=[
	(f_1, k, x, F)->f_1/k^2, (f_1, k, x, F)->f_1/k^3,
	(f_1, k, x, F)->f_1/k^4

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 62 in 94d54ec

list_of_options=zip(σ_min, σ_max, σ_1, M, γ, τ_min, τ_max, nexp, η_strategy)

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 65 in 94d54ec

alg=DFSane(;

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 71 to 72 in 94d54ec

	probN=NonlinearProblem{false}(quadratic_f, [1.0, 1.0], 2.0)
	sol=solve(probN, alg, abstol = 1e-11)

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 80 to 82 in 94d54ec

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 10 to 17 in 94d54ec

	du[1]=cos(u[2])-u[1]
	du[2]=sin(u[1]+u[2])+u[2]
	du[3]=2u[4]+u[3]+1.0
	du[4]=u[5]^2+u[4]
	du[5]=u[3]^2+u[5]
	du[6]=u[1]+u[2]+u[3]+u[4]+u[5]+2.0u[6]+2.5u[7]+1.5u[8]
	du[7]=u[1]+u[2]+u[3]+2.0u[4]+u[5]+4.0u[6]-1.5u[7]+1.5u[8]
	du[8]=u[1]+2.0u[2]+3.0u[3]+5.0u[4]+6.0u[5]+u[6]-u[7]-u[8]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 19 to 20 in 94d54ec

	prob=NonlinearProblem(f, zeros(8))
	sol=solve(prob, NewtonRaphson())

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 22 to 23 in 94d54ec

	u0=zeros(2)
	p=zeros(3)

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 26 to 27 in 94d54ec

	du[1]=cos(u[2])-u[1]
	du[2]=sin(u[1]+u[2])+u[2]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 29 to 30 in 94d54ec

	explicitfun1(p, sols)=nothing
	prob1=NonlinearProblem(

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 32 in 94d54ec

sol1=solve(prob1, NewtonRaphson())

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 35 to 37 in 94d54ec

	du[1]=2u[2]+u[1]+1.0
	du[2]=u[3]^2+u[2]
	du[3]=u[1]^2+u[3]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 39 to 40 in 94d54ec

	explicitfun2(p, sols)=nothing
	prob2=NonlinearProblem(

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 42 in 94d54ec

sol2=solve(prob2, NewtonRaphson())

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 45 to 47 in 94d54ec

	du[1]=p[1]+2.0u[1]+2.5u[2]+1.5u[3]
	du[2]=p[2]+4.0u[1]-1.5u[2]+1.5u[3]
	du[3]=p[3]++u[1]-u[2]-u[3]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 49 in 94d54ec

prob3=NonlinearProblem(

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 52 to 55 in 94d54ec

	p[1]=sols[1][1]+sols[1][2]+sols[2][1]+sols[2][2]+sols[2][3]
	p[2]=sols[1][1]+sols[1][2]+sols[2][1]+2.0sols[2][2]+sols[2][3]
	p[3]=sols[1][1]+2.0sols[1][2]+3.0sols[2][1]+5.0sols[2][2]+
	6.0sols[2][3]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 58 to 59 in 94d54ec

	sol3=solve(prob3, NewtonRaphson())
	manualscc=[sol1; sol2; sol3]

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 61 in 94d54ec

sccprob=SciMLBase.SCCNonlinearProblem([prob1, prob2, prob3],

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 63 in 94d54ec

scc_sol=solve(sccprob, NewtonRaphson())

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 294 in 94d54ec

vJ, v, u, p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 313 to 315 in 94d54ec

	v,
	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 323 to 324 in 94d54ec

	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 346 in 94d54ec

Jv, v, u, p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 364 to 366 in 94d54ec

	v,
	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 374 to 375 in 94d54ec

	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 30 in 94d54ec

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

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---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/SimpleNonlinearSolve.jl

Line 156 in 94d54ec

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/utils.jl

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p) -> begin

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/forward_diff_tests.jl

Line 36 in 94d54ec

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 73 to 74 in 94d54ec

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 107 to 108 in 94d54ec

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 140 to 141 in 94d54ec

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 151 to 152 in 94d54ec

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 167 to 168 in 94d54ec

	prob=NonlinearProblem(quadratic_f, ones(4), 2.0; maxiters = 2)
	sol=solve(prob, SimpleNewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/src/NonlinearSolve.jl

Line 71 in 94d54ec

u, p) -> vcat(u .* u .- p, u .* u .- p)),

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 13 to 14 in 94d54ec

	@testset "$idx: $(dict["title"]) | alg #$(alg_id)" for (alg_id, alg) in
	enumerate(alg_ops)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 43 in 94d54ec

alg_ops=(RobustMultiNewton(), FastShortcutNonlinearPolyalg())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 45 to 47 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[]
	broken_tests[alg_ops[2]]=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 53 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 58 to 59 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 65 in 94d54ec

alg_ops=(SimpleHalley(; autodiff = AutoForwardDiff()),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 67 to 68 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 5, 15, 16, 18]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 74 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 85 to 93 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]
	broken_tests[alg_ops[4]]=[8, 11, 21]
	broken_tests[alg_ops[5]]=[21]
	broken_tests[alg_ops[6]]=[11, 21]
	broken_tests[alg_ops[7]]=[3, 15, 16, 21]
	broken_tests[alg_ops[8]]=[15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 101 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 107 to 110 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 116 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 121 to 122 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 5, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 124 to 125 in 94d54ec

	if VERSION≥v"1.11-"
	broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 127 in 94d54ec

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 130 in 94d54ec

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 137 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 145 to 147 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[2]]=[1, 5, 8, 11, 18]
	broken_tests[alg_ops[4]]=[5, 6, 8, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 149 to 152 in 94d54ec

	broken_tests[alg_ops[1]]=[1, 5, 11]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11]
	if VERSION≥v"1.11-"
	broken_tests[alg_ops[5]]=[1, 4, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 154 in 94d54ec

broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 157 to 159 in 94d54ec

	broken_tests[alg_ops[1]]=[1, 5, 11, 15]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11, 16]
	broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 166 in 94d54ec

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 172 to 175 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 4, 5, 11, 18, 22]
	broken_tests[alg_ops[2]]=[2, 4, 5, 7, 18, 22]
	broken_tests[alg_ops[3]]=[1, 2, 4, 5, 11, 22]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 183 in 94d54ec

alg_ops=(PseudoTransient(),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 185 to 186 in 94d54ec

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 11, 15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/forward_ad_tests.jl

Line 107 in 94d54ec

compatible(u0, p) || continue

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 10 in 94d54ec

nlls_problems=[prob_oop, prob_iip]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 12 in 94d54ec

solvers=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 20 to 21 in 94d54ec

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 32 to 33 in 94d54ec

	resid=zeros(length(p))
	ForwardDiff.jacobian!(J, (resid, θ)->loss_function(resid, θ, p), resid, θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 37 in 94d54ec

jac(θ, p)=ForwardDiff.jacobian(θ->loss_function(θ, p), θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 39 in 94d54ec

probs=[

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 57 to 58 in 94d54ec

	solvers=Any[FastLevenbergMarquardtJL(linsolve) for linsolve in (:cholesky, :qr)]
	Sys.isapple()||push!(solvers, CMINPACK())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 61 to 62 in 94d54ec

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 70 in 94d54ec

probs=[

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 82 in 94d54ec

solvers=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 95 to 96 in 94d54ec

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 104 in 94d54ec

x_sa=SA[-1.0, -0.5, 0.0, 0.5, 1.0]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 106 in 94d54ec

const y_target_sa=true_function(x_sa, θ_true)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 109 in 94d54ec

ŷ=true_function(p, θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 113 to 114 in 94d54ec

	θ_init_sa=SVector{4}(θ_init)
	prob_sa=NonlinearLeastSquaresProblem{false}(loss_function_sa, θ_init_sa, x)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 116 in 94d54ec

sol=solve(prob_sa, FastLevenbergMarquardtJL())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 5 to 6 in 94d54ec

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 8 to 9 in 94d54ec

	u0=zeros(2)
	prob_iip=SteadyStateProblem(f_iip, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 26 to 28 in 94d54ec

	f_oop(u, p, t)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=SteadyStateProblem(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 51 to 52 in 94d54ec

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 54 to 55 in 94d54ec

	u0=zeros(2)
	prob_iip=NonlinearProblem{true}(f_iip, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 73 to 75 in 94d54ec

	f_oop(u, p)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=NonlinearProblem{false}(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 92 to 93 in 94d54ec

	f_tol(u, p)=u^2-2
	prob_tol=NonlinearProblem(f_tol, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 106 to 108 in 94d54ec

	alg isa CMINPACK&&Sys.isapple()&&continue
	alg isa PETScSNES&&Sys.iswindows()&&continue
	sol=solve(prob_tol, alg, abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 112 to 113 in 94d54ec

	f_jfnk(u, p)=u^2-2
	prob_jfnk=NonlinearProblem(f_jfnk, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 115 in 94d54ec

sol=solve(prob_jfnk, SIAMFANLEquationsJL(linsolve = :gmres), abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 121 to 122 in 94d54ec

	fvec[1]=(x[1]+3)*(x[2]^3-7)+18
	fvec[2]=sin(x[2]*exp(x[1])-1)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 125 to 126 in 94d54ec

	prob=NonlinearProblem{true}(f!, [0.1; 1.2])
	sol=solve(prob, NLsolveJL(autodiff = :central))

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 128 in 94d54ec

sol=solve(prob, SIAMFANLEquationsJL())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 132 in 94d54ec

sol=solve(prob, NLsolveJL(autodiff = :forward))

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 136 to 137 in 94d54ec

	f_custom_jac!(F, u, p)=(F[1:152]=u .^ 2 .- p)
	j_custom_jac!(J, u, p)=(J[1:152, 1:152]=diagm(2 .* u))

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 139 to 141 in 94d54ec

	init=ones(152)
	A=ones(152)
	A[6]=0.8

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 143 to 144 in 94d54ec

	f=NonlinearFunction(f_custom_jac!; jac = j_custom_jac!)
	p=A

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 146 in 94d54ec

ProbN=NonlinearProblem(f, init, p)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 148 in 94d54ec

sol=solve(ProbN, NLsolveJL(); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 150 in 94d54ec

sol=solve(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 156 in 94d54ec

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :newton); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 158 in 94d54ec

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :pseudotransient); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 161 in 94d54ec

sol=solve(ProbN, PETScSNES(); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 169 in 94d54ec

f(u, p)=u .* u .- 2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 171 to 172 in 94d54ec

	u0=[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 174 in 94d54ec

sol=solve(probN, PETScSNES(); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 177 to 178 in 94d54ec

	u0=[1.0f0, 1.0f0]
	probN=NonlinearProblem{false}(f, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 180 in 94d54ec

sol=solve(probN, PETScSNES(); abstol = 1e-5)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 183 to 184 in 94d54ec

	u0=Float16[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	x) -> begin
	x) -> begin

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	cx,
	user_ctx) -> begin
	cx,
	user_ctx) -> begin

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	J,
	_,
	user_ctx) -> begin
	J,
	_,
	user_ctx) -> begin

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	J,
	_,
	user_ctx) -> begin
	J,
	_,
	user_ctx) -> begin

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	V,
	P} = IntervalNonlinearProblem{
	V,
	P} = IntervalNonlinearProblem{

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	u0s=([1.0, 1.0], @SVector[1.0, 1.0], 1.0)
	u0s = ([1.0, 1.0], @SVector[1.0, 1.0], 1.0)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	Diagonal(randn!(similar(A, size(A, 1)))), LinearAlgebra.I
	)
	Diagonal(randn!(similar(A, size(A, 1)))), LinearAlgebra.I
	)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	p=range(0.01, 2, length = 200)
	p = range(0.01, 2, length = 200)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS
	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in TERMINATION_CONDITIONS

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	preconditioners=[
	(u0)->nothing,
	u0->((args...)->(Diagonal(rand!(similar(u0))), nothing))
	preconditioners = [
	(u0) -> nothing,
	u0 -> ((args...) -> (Diagonal(rand!(similar(u0))), nothing))

[github-actions]

Remaining comments which cannot be posted as a review comment to avoid GitHub Rate Limit

JuliaFormatter

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/rootfind_tests.jl

Line 478 in 292f58d

err=maximum(abs, sol.resid)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/sparsity_tests.jl

Lines 21 to 27 in 292f58d

	j,
	1] = alpha *
	(u[im1, j, 1] + u[ip1, j, 1] + u[i, jp1, 1] + u[i, jm1, 1] -
	4u[i, j, 1]) +
	B +
	u[i, j, 1]^2 * u[i, j, 2] - (A + 1) * u[i, j, 1] +
	brusselator_f(x, y)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveFirstOrder/test/sparsity_tests.jl

Lines 29 to 32 in 292f58d

	j,
	2] = alpha *
	(u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/src/NonlinearSolveQuasiNewton.jl

Line 53 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 14 in 292f58d

u0s=([1.0, 1.0], @SVector[1.0, 1.0], 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 64 in 292f58d

p=range(0.01, 2, length = 200)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 72 to 74 in 292f58d

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 139 in 292f58d

p=range(0.01, 2, length = 200)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 147 to 149 in 292f58d

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Line 214 in 292f58d

p=range(0.01, 2, length = 200)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveQuasiNewton/test/core_tests.jl

Lines 224 to 226 in 292f58d

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/src/NonlinearSolveSpectralMethods.jl

Line 37 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/src/dfsane.jl

Line 25 in 292f58d

fn_1, n, x_n, f_n) -> fn_1 / n^2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 11 in 292f58d

u0s=([1.0, 1.0], @SVector[1.0, 1.0], 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 35 in 292f58d

p=range(0.01, 2, length = 200)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 41 to 43 in 292f58d

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol=solve_oop(newton_fails, u0, p; solver = DFSane())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 49 to 59 in 292f58d

	σ_min=[1e-10, 1e-5, 1e-4]
	σ_max=[1e10, 1e5, 1e4]
	σ_1=[1.0, 0.5, 2.0]
	M=[10, 1, 100]
	γ=[1e-4, 1e-3, 1e-5]
	τ_min=[0.1, 0.2, 0.3]
	τ_max=[0.5, 0.8, 0.9]
	nexp=[2, 1, 2]
	η_strategy=[
	(f_1, k, x, F)->f_1/k^2, (f_1, k, x, F)->f_1/k^3,
	(f_1, k, x, F)->f_1/k^4

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 62 in 292f58d

list_of_options=zip(σ_min, σ_max, σ_1, M, γ, τ_min, τ_max, nexp, η_strategy)

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Line 65 in 292f58d

alg=DFSane(;

---

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NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 71 to 72 in 292f58d

	probN=NonlinearProblem{false}(quadratic_f, [1.0, 1.0], 2.0)
	sol=solve(probN, alg, abstol = 1e-11)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/NonlinearSolveSpectralMethods/test/core_tests.jl

Lines 80 to 82 in 292f58d

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 10 to 17 in 292f58d

	du[1]=cos(u[2])-u[1]
	du[2]=sin(u[1]+u[2])+u[2]
	du[3]=2u[4]+u[3]+1.0
	du[4]=u[5]^2+u[4]
	du[5]=u[3]^2+u[5]
	du[6]=u[1]+u[2]+u[3]+u[4]+u[5]+2.0u[6]+2.5u[7]+1.5u[8]
	du[7]=u[1]+u[2]+u[3]+2.0u[4]+u[5]+4.0u[6]-1.5u[7]+1.5u[8]
	du[8]=u[1]+2.0u[2]+3.0u[3]+5.0u[4]+6.0u[5]+u[6]-u[7]-u[8]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 19 to 20 in 292f58d

	prob=NonlinearProblem(f, zeros(8))
	sol=solve(prob, NewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 22 to 23 in 292f58d

	u0=zeros(2)
	p=zeros(3)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 26 to 27 in 292f58d

	du[1]=cos(u[2])-u[1]
	du[2]=sin(u[1]+u[2])+u[2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 29 to 30 in 292f58d

	explicitfun1(p, sols)=nothing
	prob1=NonlinearProblem(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 32 in 292f58d

sol1=solve(prob1, NewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 35 to 37 in 292f58d

	du[1]=2u[2]+u[1]+1.0
	du[2]=u[3]^2+u[2]
	du[3]=u[1]^2+u[3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 39 to 40 in 292f58d

	explicitfun2(p, sols)=nothing
	prob2=NonlinearProblem(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 42 in 292f58d

sol2=solve(prob2, NewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 45 to 47 in 292f58d

	du[1]=p[1]+2.0u[1]+2.5u[2]+1.5u[3]
	du[2]=p[2]+4.0u[1]-1.5u[2]+1.5u[3]
	du[3]=p[3]++u[1]-u[2]-u[3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 49 in 292f58d

prob3=NonlinearProblem(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 52 to 55 in 292f58d

	p[1]=sols[1][1]+sols[1][2]+sols[2][1]+sols[2][2]+sols[2][3]
	p[2]=sols[1][1]+sols[1][2]+sols[2][1]+2.0sols[2][2]+sols[2][3]
	p[3]=sols[1][1]+2.0sols[1][2]+3.0sols[2][1]+5.0sols[2][2]+
	6.0sols[2][3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 58 to 59 in 292f58d

	sol3=solve(prob3, NewtonRaphson())
	manualscc=[sol1; sol2; sol3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 61 in 292f58d

sccprob=SciMLBase.SCCNonlinearProblem([prob1, prob2, prob3],

---

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NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 63 in 292f58d

scc_sol=solve(sccprob, NewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 294 in 292f58d

vJ, v, u, p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 313 to 315 in 292f58d

	v,
	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 323 to 324 in 292f58d

	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 346 in 292f58d

Jv, v, u, p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 364 to 366 in 292f58d

	v,
	u,
	p) -> begin

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 374 to 375 in 292f58d

	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 30 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 34 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 56 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 76 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 122 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 126 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 148 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 169 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 213 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 217 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 239 in 292f58d

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 260 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/SimpleNonlinearSolve.jl

Line 156 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/utils.jl

Line 168 in 292f58d

p) -> begin

---

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NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/forward_diff_tests.jl

Line 36 in 292f58d

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 73 to 74 in 292f58d

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 107 to 108 in 292f58d

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 140 to 141 in 292f58d

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 151 to 152 in 292f58d

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 167 to 168 in 292f58d

	prob=NonlinearProblem(quadratic_f, ones(4), 2.0; maxiters = 2)
	sol=solve(prob, SimpleNewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/src/NonlinearSolve.jl

Line 71 in 292f58d

u, p) -> vcat(u .* u .- p, u .* u .- p)),

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 13 to 14 in 292f58d

	@testset "$idx: $(dict["title"]) | alg #$(alg_id)" for (alg_id, alg) in
	enumerate(alg_ops)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 43 in 292f58d

alg_ops=(RobustMultiNewton(), FastShortcutNonlinearPolyalg())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 45 to 47 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[]
	broken_tests[alg_ops[2]]=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 53 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 58 to 59 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 65 in 292f58d

alg_ops=(SimpleHalley(; autodiff = AutoForwardDiff()),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 67 to 68 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 5, 15, 16, 18]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 74 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 85 to 93 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]
	broken_tests[alg_ops[4]]=[8, 11, 21]
	broken_tests[alg_ops[5]]=[21]
	broken_tests[alg_ops[6]]=[11, 21]
	broken_tests[alg_ops[7]]=[3, 15, 16, 21]
	broken_tests[alg_ops[8]]=[15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 101 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 107 to 110 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 116 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 121 to 122 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 5, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 124 to 125 in 292f58d

	if VERSION≥v"1.11-"
	broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 127 in 292f58d

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 130 in 292f58d

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 137 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 145 to 147 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[2]]=[1, 5, 8, 11, 18]
	broken_tests[alg_ops[4]]=[5, 6, 8, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 149 to 152 in 292f58d

	broken_tests[alg_ops[1]]=[1, 5, 11]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11]
	if VERSION≥v"1.11-"
	broken_tests[alg_ops[5]]=[1, 4, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 154 in 292f58d

broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 157 to 159 in 292f58d

	broken_tests[alg_ops[1]]=[1, 5, 11, 15]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11, 16]
	broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 166 in 292f58d

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 172 to 175 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 4, 5, 11, 18, 22]
	broken_tests[alg_ops[2]]=[2, 4, 5, 7, 18, 22]
	broken_tests[alg_ops[3]]=[1, 2, 4, 5, 11, 22]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 183 in 292f58d

alg_ops=(PseudoTransient(),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 185 to 186 in 292f58d

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 11, 15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/forward_ad_tests.jl

Line 107 in 292f58d

compatible(u0, p) || continue

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 10 in 292f58d

nlls_problems=[prob_oop, prob_iip]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 12 in 292f58d

solvers=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 20 to 21 in 292f58d

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 32 to 33 in 292f58d

	resid=zeros(length(p))
	ForwardDiff.jacobian!(J, (resid, θ)->loss_function(resid, θ, p), resid, θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 37 in 292f58d

jac(θ, p)=ForwardDiff.jacobian(θ->loss_function(θ, p), θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 39 in 292f58d

probs=[

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 57 to 58 in 292f58d

	solvers=Any[FastLevenbergMarquardtJL(linsolve) for linsolve in (:cholesky, :qr)]
	Sys.isapple()||push!(solvers, CMINPACK())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 61 to 62 in 292f58d

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 70 in 292f58d

probs=[

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 82 in 292f58d

solvers=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 95 to 96 in 292f58d

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 104 in 292f58d

x_sa=SA[-1.0, -0.5, 0.0, 0.5, 1.0]

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 106 in 292f58d

const y_target_sa=true_function(x_sa, θ_true)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 109 in 292f58d

ŷ=true_function(p, θ)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 113 to 114 in 292f58d

	θ_init_sa=SVector{4}(θ_init)
	prob_sa=NonlinearLeastSquaresProblem{false}(loss_function_sa, θ_init_sa, x)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 116 in 292f58d

sol=solve(prob_sa, FastLevenbergMarquardtJL())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 5 to 6 in 292f58d

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 8 to 9 in 292f58d

	u0=zeros(2)
	prob_iip=SteadyStateProblem(f_iip, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 26 to 28 in 292f58d

	f_oop(u, p, t)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=SteadyStateProblem(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 51 to 52 in 292f58d

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 54 to 55 in 292f58d

	u0=zeros(2)
	prob_iip=NonlinearProblem{true}(f_iip, u0)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 73 to 75 in 292f58d

	f_oop(u, p)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=NonlinearProblem{false}(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 92 to 93 in 292f58d

	f_tol(u, p)=u^2-2
	prob_tol=NonlinearProblem(f_tol, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 106 to 108 in 292f58d

	alg isa CMINPACK&&Sys.isapple()&&continue
	alg isa PETScSNES&&Sys.iswindows()&&continue
	sol=solve(prob_tol, alg, abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 112 to 113 in 292f58d

	f_jfnk(u, p)=u^2-2
	prob_jfnk=NonlinearProblem(f_jfnk, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 115 in 292f58d

sol=solve(prob_jfnk, SIAMFANLEquationsJL(linsolve = :gmres), abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 121 to 122 in 292f58d

	fvec[1]=(x[1]+3)*(x[2]^3-7)+18
	fvec[2]=sin(x[2]*exp(x[1])-1)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 125 to 126 in 292f58d

	prob=NonlinearProblem{true}(f!, [0.1; 1.2])
	sol=solve(prob, NLsolveJL(autodiff = :central))

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 128 in 292f58d

sol=solve(prob, SIAMFANLEquationsJL())

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 132 in 292f58d

sol=solve(prob, NLsolveJL(autodiff = :forward))

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 136 to 137 in 292f58d

	f_custom_jac!(F, u, p)=(F[1:152]=u .^ 2 .- p)
	j_custom_jac!(J, u, p)=(J[1:152, 1:152]=diagm(2 .* u))

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 139 to 141 in 292f58d

	init=ones(152)
	A=ones(152)
	A[6]=0.8

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 143 to 144 in 292f58d

	f=NonlinearFunction(f_custom_jac!; jac = j_custom_jac!)
	p=A

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 146 in 292f58d

ProbN=NonlinearProblem(f, init, p)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 148 in 292f58d

sol=solve(ProbN, NLsolveJL(); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 150 in 292f58d

sol=solve(

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 156 in 292f58d

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :newton); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 158 in 292f58d

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :pseudotransient); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 161 in 292f58d

sol=solve(ProbN, PETScSNES(); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 169 in 292f58d

f(u, p)=u .* u .- 2

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 171 to 172 in 292f58d

	u0=[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 174 in 292f58d

sol=solve(probN, PETScSNES(); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 177 to 178 in 292f58d

	u0=[1.0f0, 1.0f0]
	probN=NonlinearProblem{false}(f, u0)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 180 in 292f58d

sol=solve(probN, PETScSNES(); abstol = 1e-5)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 183 to 184 in 292f58d

	u0=Float16[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

[github-actions]

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Suggested change

	p=range(0.01, 2, length = 200)
	p = range(0.01, 2, length = 200)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in
	TERMINATION_CONDITIONS
	@testset "TC: $(nameof(typeof(termination_condition)))" for termination_condition in TERMINATION_CONDITIONS

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	radius_update_schemes=[
	radius_update_schemes = [

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	p=range(0.01, 2, length = 200)
	p = range(0.01, 2, length = 200)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol=solve_oop(newton_fails, u0, p; solver = TrustRegion())
	u0 = [-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
	sol = solve_oop(newton_fails, u0, p; solver = TrustRegion())

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	prob=NonlinearProblem(NonlinearFunction{false}(F; jvp = JVP), u0, u0)
	sol=solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err=maximum(abs, sol.resid)
	prob = NonlinearProblem(NonlinearFunction{false}(F; jvp = JVP), u0, u0)
	sol = solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err = maximum(abs, sol.resid)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	sol=solve(
	sol = solve(

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	err=maximum(abs, sol.resid)
	err = maximum(abs, sol.resid)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	prob=NonlinearProblem(NonlinearFunction{true}(F!; jvp = JVP!), u0, u0)
	sol=solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err=maximum(abs, sol.resid)
	prob = NonlinearProblem(NonlinearFunction{true}(F!; jvp = JVP!), u0, u0)
	sol = solve(prob, NewtonRaphson(; linsolve = KrylovJL_GMRES()); abstol = 1e-13)
	err = maximum(abs, sol.resid)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	sol=solve(
	sol = solve(

[github-actions]

Remaining comments which cannot be posted as a review comment to avoid GitHub Rate Limit

JuliaFormatter

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 42 in ada86c2

sol2=solve(prob2, NewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 45 to 47 in ada86c2

	du[1]=p[1]+2.0u[1]+2.5u[2]+1.5u[3]
	du[2]=p[2]+4.0u[1]-1.5u[2]+1.5u[3]
	du[3]=p[3]++u[1]-u[2]-u[3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 49 in ada86c2

prob3=NonlinearProblem(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 52 to 55 in ada86c2

	p[1]=sols[1][1]+sols[1][2]+sols[2][1]+sols[2][2]+sols[2][3]
	p[2]=sols[1][1]+sols[1][2]+sols[2][1]+2.0sols[2][2]+sols[2][3]
	p[3]=sols[1][1]+2.0sols[1][2]+3.0sols[2][1]+5.0sols[2][2]+
	6.0sols[2][3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Lines 58 to 59 in ada86c2

	sol3=solve(prob3, NewtonRaphson())
	manualscc=[sol1; sol2; sol3]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 61 in ada86c2

sccprob=SciMLBase.SCCNonlinearProblem([prob1, prob2, prob3],

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SCCNonlinearSolve/test/core_tests.jl

Line 63 in ada86c2

scc_sol=solve(sccprob, NewtonRaphson())

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 294 in ada86c2

vJ, v, u, p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 313 to 315 in ada86c2

	v,
	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 323 to 324 in ada86c2

	u,
	p) -> begin

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Line 346 in ada86c2

Jv, v, u, p) -> begin

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 364 to 366 in ada86c2

	v,
	u,
	p) -> begin

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/src/SciMLJacobianOperators.jl

Lines 374 to 375 in ada86c2

	u,
	p) -> begin

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 30 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 34 in ada86c2

---

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NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 56 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 76 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 122 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 126 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 148 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 169 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 213 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 217 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 239 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SciMLJacobianOperators/test/core_tests.jl

Line 260 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/SimpleNonlinearSolve.jl

Line 156 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/src/utils.jl

Line 168 in ada86c2

p) -> begin

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/forward_diff_tests.jl

Line 36 in ada86c2

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 73 to 74 in ada86c2

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 107 to 108 in ada86c2

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 140 to 141 in ada86c2

	@testset "Termination Condition: $(nameof(typeof(termination_condition))) u0: $(nameof(typeof(u0)))" for termination_condition in
	TERMINATION_CONDITIONS,

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 151 to 152 in ada86c2

	u0=[-10.0, -1.0, 1.0, 2.0, 3.0, 4.0, 10.0]
	p=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

Lines 167 to 168 in ada86c2

	prob=NonlinearProblem(quadratic_f, ones(4), 2.0; maxiters = 2)
	sol=solve(prob, SimpleNewtonRaphson())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/src/NonlinearSolve.jl

Line 71 in ada86c2

u, p) -> vcat(u .* u .- p, u .* u .- p)),

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 13 to 14 in ada86c2

	@testset "$idx: $(dict["title"]) | alg #$(alg_id)" for (alg_id, alg) in
	enumerate(alg_ops)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 43 in ada86c2

alg_ops=(RobustMultiNewton(), FastShortcutNonlinearPolyalg())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 45 to 47 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[]
	broken_tests[alg_ops[2]]=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 53 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 58 to 59 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 65 in ada86c2

alg_ops=(SimpleHalley(; autodiff = AutoForwardDiff()),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 67 to 68 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 5, 15, 16, 18]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 74 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 85 to 93 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]
	broken_tests[alg_ops[4]]=[8, 11, 21]
	broken_tests[alg_ops[5]]=[21]
	broken_tests[alg_ops[6]]=[11, 21]
	broken_tests[alg_ops[7]]=[3, 15, 16, 21]
	broken_tests[alg_ops[8]]=[15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 101 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 107 to 110 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[11, 21]
	broken_tests[alg_ops[2]]=[11, 21]
	broken_tests[alg_ops[3]]=[11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 116 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 121 to 122 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 5, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 124 to 125 in ada86c2

	if VERSION≥v"1.11-"
	broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 127 in ada86c2

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 130 in ada86c2

broken_tests[alg_ops[2]]=[1, 2, 3, 5, 6, 11, 21]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 137 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 145 to 147 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[2]]=[1, 5, 8, 11, 18]
	broken_tests[alg_ops[4]]=[5, 6, 8, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 149 to 152 in ada86c2

	broken_tests[alg_ops[1]]=[1, 5, 11]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11]
	if VERSION≥v"1.11-"
	broken_tests[alg_ops[5]]=[1, 4, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 154 in ada86c2

broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 157 to 159 in ada86c2

	broken_tests[alg_ops[1]]=[1, 5, 11, 15]
	broken_tests[alg_ops[3]]=[1, 5, 6, 9, 11, 16]
	broken_tests[alg_ops[5]]=[1, 5, 11]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 166 in ada86c2

alg_ops=(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 172 to 175 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 4, 5, 11, 18, 22]
	broken_tests[alg_ops[2]]=[2, 4, 5, 7, 18, 22]
	broken_tests[alg_ops[3]]=[1, 2, 4, 5, 11, 22]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Line 183 in ada86c2

alg_ops=(PseudoTransient(),)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/23_test_problems_tests.jl

Lines 185 to 186 in ada86c2

	broken_tests=Dict(alg=>Int[] for alg in alg_ops)
	broken_tests[alg_ops[1]]=[1, 2, 3, 11, 15, 16]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/forward_ad_tests.jl

Line 107 in ada86c2

compatible(u0, p) || continue

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 10 in ada86c2

nlls_problems=[prob_oop, prob_iip]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 12 in ada86c2

solvers=[]

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 20 to 21 in ada86c2

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 32 to 33 in ada86c2

	resid=zeros(length(p))
	ForwardDiff.jacobian!(J, (resid, θ)->loss_function(resid, θ, p), resid, θ)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 37 in ada86c2

jac(θ, p)=ForwardDiff.jacobian(θ->loss_function(θ, p), θ)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 39 in ada86c2

probs=[

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 57 to 58 in ada86c2

	solvers=Any[FastLevenbergMarquardtJL(linsolve) for linsolve in (:cholesky, :qr)]
	Sys.isapple()||push!(solvers, CMINPACK())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 61 to 62 in ada86c2

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 70 in ada86c2

probs=[

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 82 in ada86c2

solvers=[]

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 95 to 96 in ada86c2

	sol=solve(prob, solver; maxiters = 10000, abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 104 in ada86c2

x_sa=SA[-1.0, -0.5, 0.0, 0.5, 1.0]

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 106 in ada86c2

const y_target_sa=true_function(x_sa, θ_true)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 109 in ada86c2

ŷ=true_function(p, θ)

---

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NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Lines 113 to 114 in ada86c2

	θ_init_sa=SVector{4}(θ_init)
	prob_sa=NonlinearLeastSquaresProblem{false}(loss_function_sa, θ_init_sa, x)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/least_squares_tests.jl

Line 116 in ada86c2

sol=solve(prob_sa, FastLevenbergMarquardtJL())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 5 to 6 in ada86c2

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 8 to 9 in ada86c2

	u0=zeros(2)
	prob_iip=SteadyStateProblem(f_iip, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 26 to 28 in ada86c2

	f_oop(u, p, t)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=SteadyStateProblem(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 51 to 52 in ada86c2

	du[1]=2-2u[1]
	du[2]=u[1]-4u[2]

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 54 to 55 in ada86c2

	u0=zeros(2)
	prob_iip=NonlinearProblem{true}(f_iip, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 73 to 75 in ada86c2

	f_oop(u, p)=[2-2u[1], u[1]-4u[2]]
	u0=zeros(2)
	prob_oop=NonlinearProblem{false}(f_oop, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 92 to 93 in ada86c2

	f_tol(u, p)=u^2-2
	prob_tol=NonlinearProblem(f_tol, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 106 to 108 in ada86c2

	alg isa CMINPACK&&Sys.isapple()&&continue
	alg isa PETScSNES&&Sys.iswindows()&&continue
	sol=solve(prob_tol, alg, abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 112 to 113 in ada86c2

	f_jfnk(u, p)=u^2-2
	prob_jfnk=NonlinearProblem(f_jfnk, 1.0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 115 in ada86c2

sol=solve(prob_jfnk, SIAMFANLEquationsJL(linsolve = :gmres), abstol = tol)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 121 to 122 in ada86c2

	fvec[1]=(x[1]+3)*(x[2]^3-7)+18
	fvec[2]=sin(x[2]*exp(x[1])-1)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 125 to 126 in ada86c2

	prob=NonlinearProblem{true}(f!, [0.1; 1.2])
	sol=solve(prob, NLsolveJL(autodiff = :central))

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 128 in ada86c2

sol=solve(prob, SIAMFANLEquationsJL())

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 132 in ada86c2

sol=solve(prob, NLsolveJL(autodiff = :forward))

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 136 to 137 in ada86c2

	f_custom_jac!(F, u, p)=(F[1:152]=u .^ 2 .- p)
	j_custom_jac!(J, u, p)=(J[1:152, 1:152]=diagm(2 .* u))

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 139 to 141 in ada86c2

	init=ones(152)
	A=ones(152)
	A[6]=0.8

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 143 to 144 in ada86c2

	f=NonlinearFunction(f_custom_jac!; jac = j_custom_jac!)
	p=A

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 146 in ada86c2

ProbN=NonlinearProblem(f, init, p)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 148 in ada86c2

sol=solve(ProbN, NLsolveJL(); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 150 in ada86c2

sol=solve(

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 156 in ada86c2

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :newton); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 158 in ada86c2

sol=solve(ProbN, SIAMFANLEquationsJL(; method = :pseudotransient); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 161 in ada86c2

sol=solve(ProbN, PETScSNES(); abstol = 1e-8)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 169 in ada86c2

f(u, p)=u .* u .- 2

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 171 to 172 in ada86c2

	u0=[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 174 in ada86c2

sol=solve(probN, PETScSNES(); abstol = 1e-8)

---

[JuliaFormatter] _{reported by reviewdog 🐶}

NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 177 to 178 in ada86c2

	u0=[1.0f0, 1.0f0]
	probN=NonlinearProblem{false}(f, u0)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Line 180 in ada86c2

sol=solve(probN, PETScSNES(); abstol = 1e-5)

---

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NonlinearSolve.jl/test/wrappers/rootfind_tests.jl

Lines 183 to 184 in ada86c2

	u0=Float16[1.0, 1.0]
	probN=NonlinearProblem{false}(f, u0)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	j,
	2] = alpha * (u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]
	j,
	2] = alpha * (u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	err=maximum(abs, sol.resid)
	err = maximum(abs, sol.resid)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	j,
	1] = alpha *
	(u[im1, j, 1] + u[ip1, j, 1] + u[i, jp1, 1] + u[i, jm1, 1] -
	4u[i, j, 1]) +
	B +
	u[i, j, 1]^2 * u[i, j, 2] - (A + 1) * u[i, j, 1] +
	brusselator_f(x, y)
	j,
	1] = alpha *
	(u[im1, j, 1] + u[ip1, j, 1] + u[i, jp1, 1] + u[i, jm1, 1] -
	4u[i, j, 1]) +
	B +
	u[i, j, 1]^2 * u[i, j, 2] - (A + 1) * u[i, j, 1] +
	brusselator_f(x, y)

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	j,
	2] = alpha *
	(u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]
	j,
	2] = alpha *
	(u[im1, j, 2] + u[ip1, j, 2] + u[i, jp1, 2] + u[i, jm1, 2] -
	4u[i, j, 2]) + A * u[i, j, 1] - u[i, j, 1]^2 * u[i, j, 2]

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	du[1]=cos(u[2])-u[1]
	du[2]=sin(u[1]+u[2])+u[2]
	du[1] = cos(u[2]) - u[1]
	du[2] = sin(u[1] + u[2]) + u[2]

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	explicitfun1(p, sols)=nothing
	prob1=NonlinearProblem(
	explicitfun1(p, sols) = nothing
	prob1 = NonlinearProblem(

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	sol1=solve(prob1, NewtonRaphson())
	sol1 = solve(prob1, NewtonRaphson())

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	du[1]=2u[2]+u[1]+1.0
	du[2]=u[3]^2+u[2]
	du[3]=u[1]^2+u[3]
	du[1] = 2u[2] + u[1] + 1.0
	du[2] = u[3]^2 + u[2]
	du[3] = u[1]^2 + u[3]

[github-actions]

[JuliaFormatter] _{reported by reviewdog 🐶}

Suggested change

	explicitfun2(p, sols)=nothing
	prob2=NonlinearProblem(
	explicitfun2(p, sols) = nothing
	prob2 = NonlinearProblem(