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amrueda authored Dec 13, 2023
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2 changes: 1 addition & 1 deletion .github/workflows/SpellCheck.yml
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Expand Up @@ -10,4 +10,4 @@ jobs:
- name: Checkout Actions Repository
uses: actions/checkout@v4
- name: Check spelling
uses: crate-ci/[email protected].21
uses: crate-ci/[email protected].23
94 changes: 94 additions & 0 deletions .github/workflows/downstream.yml
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@@ -0,0 +1,94 @@
# Note: this file is inspired by the downstream testing facilities in the SciML ecosystem
# x-ref: https://github.com/SciML/SciMLBase.jl/blob/ffe68aebedee5915190623cb08160d7ef1fbcce0/.github/workflows/Downstream.yml

name: Downstream
on:
push:
branches:
- main
paths-ignore:
- 'AUTHORS.md'
- 'CITATION.bib'
- 'CONTRIBUTING.md'
- 'LICENSE.md'
- 'NEWS.md'
- 'README.md'
- '.zenodo.json'
- '.github/workflows/benchmark.yml'
- '.github/workflows/CompatHelper.yml'
- '.github/workflows/TagBot.yml'
- 'benchmark/**'
# - 'docs/**'
- 'utils/**'
pull_request:
paths-ignore:
- 'AUTHORS.md'
- 'CITATION.bib'
- 'CONTRIBUTING.md'
- 'LICENSE.md'
- 'NEWS.md'
- 'README.md'
- '.zenodo.json'
- '.github/workflows/benchmark.yml'
- '.github/workflows/CompatHelper.yml'
- '.github/workflows/TagBot.yml'
- 'benchmark/**'
# - 'docs/**'
- 'utils/**'
workflow_dispatch:

# Cancel redundant CI tests automatically
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true

jobs:
test:
if: "!contains(github.event.head_commit.message, 'skip ci')"
# We could also include the Julia version as in
# name: ${{ matrix.trixi_test }} - ${{ matrix.os }} - Julia ${{ matrix.version }} - ${{ matrix.arch }} - ${{ github.event_name }}
# to be more specific. However, that requires us updating the required CI tests whenever we update Julia.
name: ${{ matrix.package }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
version:
- '1.9'
os:
- ubuntu-latest
arch:
- x64
package:
- Trixi2Vtk.jl
- TrixiShallowWater.jl
steps:
- uses: actions/checkout@v4
- uses: julia-actions/setup-julia@v1
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- run: julia -e 'using InteractiveUtils; versioninfo(verbose=true)'
- uses: julia-actions/cache@v1
- uses: julia-actions/julia-buildpkg@v1
- name: Retrieve downstream package
# Note: we retrieve the current `main` branch of the downstream package to ensure
# that compatibility errors we make in Trixi.jl are detected already here
# See also https://github.com/trixi-framework/Trixi.jl/pull/1707#discussion_r1382938895
uses: actions/checkout@v4
with:
repository: trixi-framework/${{ matrix.package }}
path: downstream
- name: Load upstream package into downstream environment
shell: julia --color=yes --project=downstream {0}
run: |
using Pkg
Pkg.develop(PackageSpec(path="."))
Pkg.update()
- name: Run downstream tests (without coverage)
shell: julia --color=yes --project=downstream {0}
run: |
using Pkg
Pkg.test(coverage=false)
env:
TRIXI_TEST: upstream
33 changes: 32 additions & 1 deletion NEWS.md
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Expand Up @@ -4,6 +4,31 @@ Trixi.jl follows the interpretation of [semantic versioning (semver)](https://ju
used in the Julia ecosystem. Notable changes will be documented in this file
for human readability.

## Changes when updating to v0.6 from v0.5.x

#### Added
- AMR for hyperbolic-parabolic equations on 2D `P4estMesh`

#### Changed

- The wave speed estimates for `flux_hll`, `FluxHLL()` are now consistent across equations.
In particular, the functions `min_max_speed_naive`, `min_max_speed_einfeldt` are now
conceptually identical across equations.
Users, who have been using `flux_hll` for MHD have now to use `flux_hlle` in order to use the
Einfeldt wave speed estimate.
- Parabolic diffusion terms are now officially supported and not marked as experimental
anymore.

#### Deprecated

#### Removed

- The neural network-based shock indicators have been migrated to a new repository
[TrixiSmartShockFinder.jl](https://github.com/trixi-framework/TrixiSmartShockFinder.jl).
To continue using the indicators, you will need to use both Trixi.jl and
TrixiSmartShockFinder.jl, as explained in the latter packages' `README.md`.


## Changes in the v0.5 lifecycle

#### Added
Expand All @@ -13,8 +38,11 @@ for human readability.
- Capability to set truly discontinuous initial conditions in 1D.
- Wetting and drying feature and examples for 1D and 2D shallow water equations
- Implementation of the polytropic Euler equations in 2D
- Subcell positivity limiting support for conservative variables in 2D for `TreeMesh`
- Implementation of the quasi-1D shallow water equations
- Subcell (positivity and local min/max) limiting support for conservative variables
in 2D for `TreeMesh`
- AMR for hyperbolic-parabolic equations on 2D/3D `TreeMesh`
- Added `GradientVariables` type parameter to `AbstractEquationsParabolic`

#### Changed

Expand All @@ -31,6 +59,9 @@ for human readability.

#### Removed

- Migrate neural network-based shock indicators to a new repository
[TrixiSmartShockFinder.jl](https://github.com/trixi-framework/TrixiSmartShockFinder.jl).


## Changes when updating to v0.5 from v0.4.x

Expand Down
9 changes: 6 additions & 3 deletions Project.toml
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@@ -1,7 +1,7 @@
name = "Trixi"
uuid = "a7f1ee26-1774-49b1-8366-f1abc58fbfcb"
authors = ["Michael Schlottke-Lakemper <[email protected]>", "Gregor Gassner <[email protected]>", "Hendrik Ranocha <[email protected]>", "Andrew R. Winters <[email protected]>", "Jesse Chan <[email protected]>"]
version = "0.5.48-pre"
version = "0.6.4-pre"

[deps]
CodeTracking = "da1fd8a2-8d9e-5ec2-8556-3022fb5608a2"
Expand Down Expand Up @@ -58,30 +58,33 @@ FillArrays = "0.13.2, 1"
ForwardDiff = "0.10.18"
HDF5 = "0.14, 0.15, 0.16, 0.17"
IfElse = "0.1"
LinearAlgebra = "1"
LinearMaps = "2.7, 3.0"
LoopVectorization = "0.12.118"
MPI = "0.20"
Makie = "0.19"
MuladdMacro = "0.2.2"
Octavian = "0.3.5"
OffsetArrays = "1.3"
P4est = "0.4"
P4est = "0.4.9"
Polyester = "0.7.5"
PrecompileTools = "1.1"
Printf = "1"
RecipesBase = "1.1"
Reexport = "1.0"
Requires = "1.1"
SciMLBase = "1.90, 2"
Setfield = "0.8, 1"
SimpleUnPack = "1.1"
SparseArrays = "1"
StartUpDG = "0.17"
Static = "0.3, 0.4, 0.5, 0.6, 0.7, 0.8"
StaticArrayInterface = "1.4"
StaticArrays = "1"
StrideArrays = "0.1.18"
StructArrays = "0.6"
SummationByPartsOperators = "0.5.41"
T8code = "0.4.1"
T8code = "0.4.3"
TimerOutputs = "0.5"
Triangulate = "2.0"
TriplotBase = "0.1"
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -18,7 +18,7 @@
<img width="300px" src="https://trixi-framework.github.io/assets/logo.png">
</p>

**Trixi.jl** is a numerical simulation framework for hyperbolic conservation
**Trixi.jl** is a numerical simulation framework for conservation
laws written in [Julia](https://julialang.org). A key objective for the
framework is to be useful to both scientists and students. Therefore, next to
having an extensible design with a fast implementation, Trixi.jl is
Expand Down Expand Up @@ -46,6 +46,7 @@ installation and postprocessing procedures. Its features include:
* Periodic and weakly-enforced boundary conditions
* Multiple governing equations:
* Compressible Euler equations
* Compressible Navier-Stokes equations
* Magnetohydrodynamics (MHD) equations
* Multi-component compressible Euler and MHD equations
* Linearized Euler and acoustic perturbation equations
Expand All @@ -56,6 +57,7 @@ installation and postprocessing procedures. Its features include:
* Multi-physics simulations
* [Self-gravitating gas dynamics](https://github.com/trixi-framework/paper-self-gravitating-gas-dynamics)
* Shared-memory parallelization via multithreading
* Multi-node parallelization via MPI
* Visualization and postprocessing of the results
* In-situ and a posteriori visualization with [Plots.jl](https://github.com/JuliaPlots/Plots.jl)
* Interactive visualization with [Makie.jl](https://makie.juliaplots.org/)
Expand Down
2 changes: 1 addition & 1 deletion benchmark/Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -8,4 +8,4 @@ Trixi = "a7f1ee26-1774-49b1-8366-f1abc58fbfcb"
BenchmarkTools = "0.5, 0.7, 1.0"
OrdinaryDiffEq = "5.65, 6"
PkgBenchmark = "0.2.10"
Trixi = "0.4, 0.5"
Trixi = "0.4, 0.5, 0.6"
1 change: 1 addition & 0 deletions docs/Project.toml
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Expand Up @@ -21,4 +21,5 @@ Literate = "2.9"
Measurements = "2.5"
OrdinaryDiffEq = "6.49.1"
Plots = "1.9"
Test = "1"
Trixi2Vtk = "0.3"
2 changes: 1 addition & 1 deletion docs/literate/src/files/DGMulti_1.jl
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Expand Up @@ -168,7 +168,7 @@ meshIO = StartUpDG.triangulate_domain(StartUpDG.RectangularDomainWithHole());

# The pre-defined Triangulate geometry in StartUpDG has integer boundary tags. With [`DGMultiMesh`](@ref)
# we assign boundary faces based on these integer boundary tags and create a mesh compatible with Trixi.jl.
mesh = DGMultiMesh(meshIO, dg, Dict(:outer_boundary=>1, :inner_boundary=>2))
mesh = DGMultiMesh(dg, meshIO, Dict(:outer_boundary=>1, :inner_boundary=>2))
#-
boundary_condition_convergence_test = BoundaryConditionDirichlet(initial_condition)
boundary_conditions = (; :outer_boundary => boundary_condition_convergence_test,
Expand Down
11 changes: 9 additions & 2 deletions docs/literate/src/files/adding_new_parabolic_terms.jl
Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,15 @@ equations_hyperbolic = LinearScalarAdvectionEquation2D(advection_velocity);
# `ConstantAnisotropicDiffusion2D` has a field for `equations_hyperbolic`. It is useful to have
# information about the hyperbolic system available to the parabolic part so that we can reuse
# functions defined for hyperbolic equations (such as `varnames`).

struct ConstantAnisotropicDiffusion2D{E, T} <: Trixi.AbstractEquationsParabolic{2, 1}
#
# The abstract type `Trixi.AbstractEquationsParabolic` has three parameters: `NDIMS` (the spatial dimension,
# e.g., 1D, 2D, or 3D), `NVARS` (the number of variables), and `GradientVariable`, which we set as
# `GradientVariablesConservative`. This indicates that the gradient should be taken with respect to the
# conservative variables (e.g., the same variables used in `equations_hyperbolic`). Users can also take
# the gradient with respect to a different set of variables; see, for example, the implementation of
# [`CompressibleNavierStokesDiffusion2D`](@ref), which can utilize either "primitive" or "entropy" variables.

struct ConstantAnisotropicDiffusion2D{E, T} <: Trixi.AbstractEquationsParabolic{2, 1, GradientVariablesConservative}
diffusivity::T
equations_hyperbolic::E
end
Expand Down
4 changes: 3 additions & 1 deletion docs/src/index.md
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Expand Up @@ -12,7 +12,7 @@
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3996439.svg)](https://doi.org/10.5281/zenodo.3996439)

[**Trixi.jl**](https://github.com/trixi-framework/Trixi.jl)
is a numerical simulation framework for hyperbolic conservation
is a numerical simulation framework for conservation
laws written in [Julia](https://julialang.org). A key objective for the
framework is to be useful to both scientists and students. Therefore, next to
having an extensible design with a fast implementation, Trixi.jl is
Expand Down Expand Up @@ -40,6 +40,7 @@ installation and postprocessing procedures. Its features include:
* Periodic and weakly-enforced boundary conditions
* Multiple governing equations:
* Compressible Euler equations
* Compressible Navier-Stokes equations
* Magnetohydrodynamics (MHD) equations
* Multi-component compressible Euler and MHD equations
* Linearized Euler and acoustic perturbation equations
Expand All @@ -50,6 +51,7 @@ installation and postprocessing procedures. Its features include:
* Multi-physics simulations
* [Self-gravitating gas dynamics](https://github.com/trixi-framework/paper-self-gravitating-gas-dynamics)
* Shared-memory parallelization via multithreading
* Multi-node parallelization via MPI
* Visualization and postprocessing of the results
* In-situ and a posteriori visualization with [Plots.jl](https://github.com/JuliaPlots/Plots.jl)
* Interactive visualization with [Makie.jl](https://makie.juliaplots.org/)
Expand Down
2 changes: 1 addition & 1 deletion docs/src/meshes/dgmulti_mesh.md
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ around Jonathan Shewchuk's [Triangle](https://www.cs.cmu.edu/~quake/triangle.htm

## The `DGMulti` solver type

Trixi.jl solvers on simplicial meshes use the `[DGMulti](@ref)` solver type, which allows users to specify
Trixi.jl solvers on simplicial meshes use the [`DGMulti`](@ref) solver type, which allows users to specify
`element_type` and `approximation_type` in addition to `polydeg`, `surface_flux`, `surface_integral`,
and `volume_integral`.

Expand Down
3 changes: 1 addition & 2 deletions docs/src/overview.md
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Expand Up @@ -60,10 +60,9 @@ different features on different mesh types.
| Flux differencing | ✅ | ✅ | ✅ | ✅ | ✅ | [`VolumeIntegralFluxDifferencing`](@ref)
| Shock capturing | ✅ | ✅ | ✅ | ✅ | ❌ | [`VolumeIntegralShockCapturingHG`](@ref)
| Nonconservative equations | ✅ | ✅ | ✅ | ✅ | ✅ | e.g., GLM MHD or shallow water equations
| Parabolic termsᵇ | ✅ | ✅ | ❌ | ✅ | ✅ | e.g., [`CompressibleNavierStokesDiffusion2D`](@ref)
| Parabolic terms | ✅ | ✅ | ❌ | ✅ | ✅ | e.g., [`CompressibleNavierStokesDiffusion2D`](@ref)

ᵃ: quad = quadrilateral, hex = hexahedron
ᵇ: Parabolic terms do not currently support adaptivity.

## Time integration methods

Expand Down
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