Typos (#405)

* bump SymPy

* adjust p.toml

* readjust

* add spell check to CI

* format adjustments

* fix typos

.github/workflows/SpellCheck.yml

@@ -0,0 +1,13 @@
+name: Spell Check
+
+on: [pull_request]
+
+jobs:
+  typos-check:
+    name: Spell Check with Typos
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Actions Repository
+        uses: actions/checkout@v4
+      - name: Check spelling
+        uses: crate-ci/typos@master

Project.toml

@@ -19,9 +19,10 @@ SymPyPythonCall = "bc8888f7-b21e-4b7c-a06a-5d9c9496438c"
 ChainRulesCore = "1"
 CommonSolve = "0.1, 0.2"
 ForwardDiff = "0.10"
-SymPy = "1"
-SymPyPythonCall = "0.1,1"
+SymPy = "1,2"
+SymPyPythonCall = "0.1, 0.2, 1"
 Setfield = "0.7, 0.8, 1"
+Printf = "1"
 julia = "1.0"
 
 

docs/src/roots.md

@@ -768,7 +768,7 @@ julia> above = accumulate((x,y) -> nextfloat(x), 1:10, init=1/3);
 
 julia> below = accumulate((x,y) -> prevfloat(x), 1:10, init=1/3);
 
-julia> ns = sort([below...,1/3, above...]); # floating point numbers aroudn 1/3
+julia> ns = sort([below...,1/3, above...]); # floating point numbers around 1/3
 
 julia> maximum(abs.(f.(ns) - f1.(ns))) < 1e-14
 true

src/Bracketing/alefeld_potra_shi.jl

@@ -228,7 +228,7 @@ Originally by John Travers.
 """
 const AlefeldPotraShi = A2425{2}
 
-# Algorith 5.7 is parameterized by K
+# Algorithm 5.7 is parameterized by K
 # 4.1 -> K=1; 4.2 -> K=2
 struct A57{K} <: AbstractAlefeldPotraShi end
 fncalls_per_step(::A57{K}) where {K} = K - 1

src/Bracketing/bisection.jl

@@ -178,9 +178,9 @@ function solve!(
     val, stopped = :not_converged, false
     ctr = 1
     log_step(l, M, state; init=true)
-    T,S = TS(state)
+    T, S = TS(state)
     while !stopped
-        a::T,  b::T  = state.xn0,  state.xn1
+        a::T, b::T   = state.xn0,  state.xn1
         fa::S, fb::S = state.fxn0, state.fxn1
 
         ## assess_convergence

src/Derivative/lith.jl

@@ -148,7 +148,7 @@ function evalf(F::Callable_Function{S,T,𝑭,P}, x) where {N,S<:Val{N},T<:Val{tr
 end
 
 #specializations for N = 1,2,3,4,5,6
-## lmm(::Roots.LithBoonkkampIJzerman{1, D}) is defined up unitl D = 6, so specialize those
+## lmm(::Roots.LithBoonkkampIJzerman{1, D}) is defined up until D = 6, so specialize those
 
 function evalf(F::Callable_Function{S,T,𝑭,P}, x) where {S<:Val{1},T<:Val{false},𝑭,P}
     F(x)

src/DerivativeFree/esser.jl

@@ -12,7 +12,7 @@ step when `|fx|` is considered too large.
 
 
 Esser, H. Computing (1975) 14: 367. DOI: [10.1007/BF02253547](https://doi.org/10.1007/BF02253547)
-Eine stets quadratisch konvergente Modifikation des Steffensen-Verfahrens
+Eine stets quadratisch konvergente Modification des Steffensen-Verfahrens
 
 
 ## Examples

src/alternative_interfaces.jl

@@ -48,7 +48,6 @@ derivatives, respectively.
 
 Keyword arguments are passed to `find_zero` using the `Roots.Halley()` method.
 
-
 """
 =#
 halley(f, fp, fpp, x0; kwargs...) = find_zero((f, fp, fpp), x0, Halley(); kwargs...)
@@ -253,7 +252,7 @@ end
 
 Searches for all zeros of `f` within an interval `(a,b)`. Assume neither `a` or `b` is a zero.
 
-Compatability interface for [`find_zeros`](@ref).
+Compatibility interface for [`find_zeros`](@ref).
 """
 function fzeros(f, a::Number, b::Number; kwargs...)
     find_zeros(FnWrapper(f), float(a), float(b); kwargs...)

src/simple.jl

@@ -97,13 +97,12 @@ end
 """
     Roots.a42(f, ab; atol=nothing, rtol=nothing, λ=0.7, μ = 0.5)
 
-Direct implemenation of Alefeld, Potra, and Shi's Algorithm 4.2. See also [`A42()`](@ref).
+Direct implementation of Alefeld, Potra, and Shi's Algorithm 4.2. See also [`A42()`](@ref).
 
 * `f`: function to find zero of. (If `f` is 4-times continuously differentiable, convergence to a simple root will be like ``(2 + 7^{1/2})^{1/3} = 1.6686...``
 * `ab`: a *bracketing interval
 * `atol`, `rtol`: optional tolerances. These are `0` and `eps` respectively by default.
 
-
 Not exported
 """
 =#

src/state.jl

@@ -6,7 +6,7 @@ struct UnivariateZeroState{T,S} <: AbstractUnivariateZeroState{T,S}
     fxn0::S
 end
 
-TS(::AbstractUnivariateZeroState{T,S}) where {T,S} = T,S
+TS(::AbstractUnivariateZeroState{T,S}) where {T,S} = T, S
 
 # simple helper to set main properties of a state object
 function _set(state, xf1)

test/runtests.jl

@@ -34,7 +34,6 @@ include("./test_composable.jl")
 VERSION >= v"1.6.0" && include("./test_allocations.jl")
 VERSION >= v"1.9.0" && include("./test_extensions.jl")
 
-
 #include("./runbenchmarks.jl")
 #include("./test_derivative_free_interactive.jl")
 

test/test_extensions.jl

@@ -49,26 +49,26 @@ end
 using ForwardDiff
 @testset "ForwardDiff" begin
     f = (x, p) -> x^2 - p
-    Z  = ZeroProblem(f, (0, 1000))
+    Z = ZeroProblem(f, (0, 1000))
     F = p -> solve(Z, Roots.Bisection(), p)
-    for p ∈ (3,5,7,11)
+    for p ∈ (3, 5, 7, 11)
         @test F(p) ≈ sqrt(p)
         @test ForwardDiff.derivative(F, p) ≈ 1 / (2sqrt(p))
     end
 
     # Hessian is *broken*
-    f = (x, p) -> x^2 - sum(p.^2)
+    f = (x, p) -> x^2 - sum(p .^ 2)
     Z = ZeroProblem(f, (0, 1000))
     F = p -> solve(Z, Roots.Bisection(), p)
     Z = ZeroProblem(f, (0, 1000))
-    F = p  -> solve(Z, Roots.Bisection(), p)
+    F = p -> solve(Z, Roots.Bisection(), p)
     hess(f, p) = ForwardDiff.jacobian(p -> ForwardDiff.gradient(F, p), p)
     for p ∈ ([1,2], [1,3], [1,4])
-        @test F(p) ≈ sqrt(sum(p.^2))
+        @test F(p) ≈ sqrt(sum(p .^ 2))
         @test_throws DimensionMismatch ForwardDiff.hessian(F, p)
         a, b = p
         n = sqrt(a^2 + b^2)^3
-        @test hess(F, p) ≈ [b^2 -a*b; -a*b a^2]/n
+        @test hess(F, p) ≈ [b^2 -a*b; -a*b a^2] / n
     end
 end
 

test/test_find_zero.jl

@@ -123,7 +123,7 @@ struct Order3_Test <: Roots.AbstractSecantMethod end
     h(x) = x < 2000 ? -1000 : -1000 + 0.1 * (x - 2000)
     a, b, xᵅ = 0, 20_000, 12_000
     for M ∈ bracketing_meths
-        @test find_zero(h, (a,b), M) ≈ xᵅ
+        @test find_zero(h, (a, b), M) ≈ xᵅ
     end
 
 end
@@ -486,7 +486,7 @@ struct _SampleCallableObject end
     end
 end
 
-@testset "function evalutions" begin
+@testset "function evaluations" begin
     function wrapper(f)
         cnt = 0
         x -> begin