Add version to docs build (#26)

* Add version to docs build

* Update docs dep versions

* Remove explicit floating-point values in Plm example

* Simpler floating point values in index.md example

* Use v1.10 for docs

* Relax setup-julia version

Author: jishnub

.github/workflows/ci.yml

@@ -23,7 +23,7 @@ jobs:
       fail-fast: false
       matrix:
         version:
-          - '1.6'
+          - 'lts'
           - '1'
           - 'nightly'
         os:
@@ -32,7 +32,7 @@ jobs:
           - x64
     steps:
       - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@v1
+      - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}
@@ -57,9 +57,9 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v2
-      - uses: julia-actions/setup-julia@v1
+      - uses: julia-actions/setup-julia@v2
         with:
-          version: '1.10'
+          version: 'lts'
       - run: |
           julia --project=docs -e '
             using Pkg

docs/Project.toml

@@ -5,6 +5,6 @@ LegendrePolynomials = "3db4a2ba-fc88-11e8-3e01-49c72059a882"
 Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 
 [compat]
-Documenter = "0.27"
+Documenter = "1"
 HyperDualNumbers = "4"
-Symbolics = "4"
+Symbolics = "5"

docs/src/index.md

@@ -58,8 +58,7 @@ true
 Evaluate the associated Legendre Polynomial one `l,m` pair as `Plm(x, l, m)`:
 
 ```jldoctest
-julia> p = Plm(0.5, 3, 2)
-5.624999999999997
+julia> p = Plm(0.5, 3, 2);
 
 julia> p ≈ 45/8 # analytical value
 true
@@ -88,11 +87,11 @@ Evaluate the associated Legendre Polynomials for order `m` and degree `l` in `lm
 as `collectPlm(x; m, lmin, lmax)`. By default `lmin` is chosen to be `abs(m)`, and may be omitted.
 
 ```jldoctest
-julia> collectPlm(0.5, lmax = 5, m = 3)
+julia> collectPlm(0, lmax = 5, m = 3)
 3-element OffsetArray(::Vector{Float64}, 3:5) with eltype Float64 with indices 3:5:
-  -9.742785792574933
- -34.09975027401223
- -42.624687842515385
+ -15.000000000000002
+  -0.0
+  52.500000000000064
 ```
 
 Evaluate all the `n`th derivatives of `Pl` as `collectdnPl(x; lmax, n)`: