Merge pull request #369 from FourierFlows/ncc/drop-julia-v1.6

Drop Julia v1.6, add Julia v1.11

.buildkite/pipeline.yml

@@ -3,24 +3,24 @@ env:
   SECRET_CODECOV_TOKEN: "dty9SvGuECi846Hf4XqD7M6nqh3G5uRWhNvJTGqRrYbGkV0PN6Ovorh9tdDrwm03VB2JNlIODSxo+QukbaO1ZWeX3pKq03eQbmBCeNpIfyZyTCTB5oGXYbDhCQlA6fjvGlrahqtos9s7BNo6rHVlp82Js60Tm5cmq5Vc8NHsD61EMcKMbl8l8oAo05tzWstC6MiloAItgPjmV9b4lR0qR/CFdUzzRelbq7FGsbus3k1qG4fkVD71vIwPoVhcubaNel1m2Pav5Z/tCdoqlpZZcLStIoJ+6tGCM2z9up6VC6dEvjxFRL4wlW0mfBW67foAxdqw24MIMlig4B1GAMsKxg==;U2FsdGVkX19vDkbG1AsXwiK4Lfblf3+qPNPAcrI+kEocuwv2lTsrOALqTT31uWxBSouatQsKuMlmL3++hD/ztQ=="
 
 steps:
-  - label: "🦓 Julia 1.6"
+  - label: "🐫 Julia 1.10"
     plugins:
       - JuliaCI/julia#v1:
-          version: '1.6'
+          version: '1.10'
       - JuliaCI/julia-test#v1: ~
+      - JuliaCI/julia-coverage#v1:
+          codecov: true
     agents:
       queue: "juliagpu"
       cuda: "*"
     if: build.message !~ /\[skip tests\]/
     timeout_in_minutes: 60
 
-  - label: "🐫 Julia 1.10"
+  - label: "🦓 Julia 1.11"
     plugins:
       - JuliaCI/julia#v1:
-          version: '1.10'
+          version: '1.11'
       - JuliaCI/julia-test#v1: ~
-      - JuliaCI/julia-coverage#v1:
-          codecov: true
     agents:
       queue: "juliagpu"
       cuda: "*"

.github/workflows/CompatHelper.yml

@@ -10,7 +10,7 @@ jobs:
     steps:
       - uses: julia-actions/setup-julia@latest
         with:
-          version: 1.6
+          version: 1.10
       - name: Pkg.add("CompatHelper")
         run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
       - name: CompatHelper.main()

Project.toml

@@ -6,7 +6,7 @@ authors = ["Gregory L. Wagner <[email protected]>", "Navid C. Constantinou <
 description = "Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains."
 documentation = "https://fourierflows.github.io/FourierFlowsDocumentation/stable/"
 repository = "https://github.com/FourierFlows/FourierFlows.jl"
-version = "0.10.5"
+version = "0.10.6"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
@@ -25,11 +25,11 @@ DocStringExtensions = "0.8, 0.9"
 FFTW = "1"
 Interpolations = "0.12, 0.13, 0.14, 0.15"
 JLD2 = "0.1, 0.2, 0.3, 0.4"
-LinearAlgebra = "1.6"
-Random = "1.6"
+LinearAlgebra = "1.10"
+Random = "1.10"
 Reexport = "0.2, 1"
-Statistics = "1.6"
-julia = "1.6"
+Statistics = "1.10"
+julia = "1.10"
 
 [extras]
 Coverage = "a2441757-f6aa-5fb2-8edb-039e3f45d037"

appveyor.yml

@@ -1,7 +1,7 @@
 environment:
   matrix:
-  - julia_version: 1.6
   - julia_version: 1.10
+  - julia_version: 1.11
   - julia_version: nightly
 
 platform:

docs/src/installation_instructions.md

@@ -5,23 +5,23 @@ To install the latest version of FourierFlows.jl use the Julia's built-in packag
 
 ```julia
 julia> ]
-(v1.6) pkg> add FourierFlows
+(v1.10) pkg> add FourierFlows
 ```
 
 We recommend installing FourierFlows.jl with the built-in Julia package manager, because
 this installs a stable, tagged release. Later, you can update FourierFlows.jl to the
 latest tagged release again via the package manager by
 
 ```julia
-(v1.6) pkg> update FourierFlows
+(v1.10) pkg> update FourierFlows
 ```
 
 Note that some releases might induce breaking changes to certain modules. If after anything
 happens or your code stops working, please open an [issue](https://github.com/FourierFlows/FourierFlows.jl/issues) 
 or start a [discussion](https://github.com/FourierFlows/FourierFlows.jl/discussions). We're
 more than happy to help with getting your simulations up and running.
 
-!!! warn "Use Julia 1.6 or newer"
-    The latest FourierFlows.jl requires at least Julia v1.6 (the current long-term-release).
+!!! warn "Use Julia 1.10 or newer"
+    The latest FourierFlows.jl requires at least Julia v1.10 (the current long-term-release).
     Installing FourierFlows with an older version of Julia will install an older version
     of FourierFlows.jl (the latest version compatible with your version of Julia).

test/runtests.jl

@@ -387,9 +387,9 @@ for dev in devices
       @test repr(diag) == "Diagnostic\n  ├─── calc: get_sol\n  ├─── prob: FourierFlows.Problem{DataType, Vector{ComplexF64}, Float64, Vector{Float64}}\n  ├─── data: 101-element Vector{Vector{ComplexF64}}\n  ├────── t: 101-element Vector{Float64}\n  ├── steps: 101-element Vector{Int64}\n  ├─── freq: 1\n  └────── i: 1"
       @test repr(out) == "Output\n  ├──── prob: FourierFlows.Problem{DataType, Vector{ComplexF64}, Float64, Vector{Float64}}\n  ├──── path: output.jld2\n  └── fields: Dict{Symbol, Function}()"
     else
-      @test repr(prob.vars) == "Variables\n  ├───── variable: c -> 128-element CuArray{Float64, 1, CUDA.Mem.DeviceBuffer}\n  ├───── variable: cx -> 128-element CuArray{Float64, 1, CUDA.Mem.DeviceBuffer}\n  ├───── variable: ch -> 65-element CuArray{ComplexF64, 1, CUDA.Mem.DeviceBuffer}\n  └───── variable: cxh -> 65-element CuArray{ComplexF64, 1, CUDA.Mem.DeviceBuffer}\n"
-      @test repr(diag) == "Diagnostic\n  ├─── calc: get_sol\n  ├─── prob: FourierFlows.Problem{DataType, CuArray{ComplexF64, 1, CUDA.Mem.DeviceBuffer}, Float64, CuArray{Float64, 1, CUDA.Mem.DeviceBuffer}}\n  ├─── data: 101-element Vector{CuArray{ComplexF64, 1, CUDA.Mem.DeviceBuffer}}\n  ├────── t: 101-element Vector{Float64}\n  ├── steps: 101-element Vector{Int64}\n  ├─── freq: 1\n  └────── i: 1"
-      @test repr(out) == "Output\n  ├──── prob: FourierFlows.Problem{DataType, CuArray{ComplexF64, 1, CUDA.Mem.DeviceBuffer}, Float64, CuArray{Float64, 1, CUDA.Mem.DeviceBuffer}}\n  ├──── path: output.jld2\n  └── fields: Dict{Symbol, Function}()"
+      @test repr(prob.vars) == "Variables\n  ├───── variable: c -> 128-element CuArray{Float64, 1, CUDA.DeviceMemory}\n  ├───── variable: cx -> 128-element CuArray{Float64, 1, CUDA.DeviceMemory}\n  ├───── variable: ch -> 65-element CuArray{ComplexF64, 1, CUDA.DeviceMemory}\n  └───── variable: cxh -> 65-element CuArray{ComplexF64, 1, CUDA.DeviceMemory}\n"
+      @test repr(diag) == "Diagnostic\n  ├─── calc: get_sol\n  ├─── prob: FourierFlows.Problem{DataType, CuArray{ComplexF64, 1, CUDA.DeviceMemory}, Float64, CuArray{Float64, 1, CUDA.DeviceMemory}}\n  ├─── data: 101-element Vector{CuArray{ComplexF64, 1, CUDA.DeviceMemory}}\n  ├────── t: 101-element Vector{Float64}\n  ├── steps: 101-element Vector{Int64}\n  ├─── freq: 1\n  └────── i: 1"
+      @test repr(out) == "Output\n  ├──── prob: FourierFlows.Problem{DataType, CuArray{ComplexF64, 1, CUDA.DeviceMemory}, Float64, CuArray{Float64, 1, CUDA.DeviceMemory}}\n  ├──── path: output.jld2\n  └── fields: Dict{Symbol, Function}()"
     end
 
     @test repr(prob.eqn) == "Equation\n  ├──────── linear coefficients: L\n  │                              ├───type: Float64\n  │                              └───size: (65,)\n  ├───────────── nonlinear term: calcN!()\n  └─── type of state vector sol: ComplexF64"