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test.jl
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test.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE
"""
FEMBase.Test
FEMBase.Test contains utilities to test JuliaFEM extensions, including:
- all test macros from Base.Test (@test, @testset, ...)
- test problems `Poisson` and `Dirichlet`.
- test linear system solver `LUSolver`.
- test analysis `Static`.
- read ABAQUS matrices
"""
module Test
# For convenience, one can also get all @test macros and so on just by typing
# `using FEMBase.Test`, they are the very same than in `Base.Test`
using Base.Test
export @test, @test_throws, @test_broken, @test_skip,
@test_warn, @test_nowarn
# export @test_logs, @test_deprecated
export @testset, @inferred
using FEMBase
import FEMBase: assemble_elements!, get_unknown_field_name, solve!, run!
type Poisson <: FieldProblem end
function get_unknown_field_name(::Problem{Poisson})
return "u"
end
function assemble_elements!{E}(problem::Problem{Poisson},
assembly::Assembly,
elements::Vector{Element{E}},
time::Float64)
bi = BasisInfo(E)
ndofs = length(bi)
Ke = zeros(ndofs, ndofs)
fe = zeros(ndofs)
for element in elements
fill!(Ke, 0.0)
fill!(fe, 0.0)
for ip in get_integration_points(element)
J, detJ, N, dN = element_info!(bi, element, ip, time)
k = 1.0
if haskey(element, "coefficient")
k = element("coefficient", ip, time)
end
Ke += ip.weight * k*dN'*dN * detJ
if haskey(element, "source")
f = element("source", ip, time)
fe += ip.weight * N'*f * detJ
end
end
gdofs = get_gdofs(problem, element)
add!(assembly.K, gdofs, gdofs, Ke)
add!(assembly.f, gdofs, fe)
end
end
function assemble_elements!{E<:Union{Seg2,Seg3}}(problem::Problem{Poisson},
assembly::Assembly,
elements::Vector{Element{E}},
time::Float64)
bi = BasisInfo(E)
ndofs = length(bi)
Ce = zeros(ndofs, ndofs)
fe = zeros(ndofs)
ge = zeros(ndofs)
for element in elements
fill!(Ce, 0.0)
fill!(fe, 0.0)
fill!(ge, 0.0)
for ip in get_integration_points(element)
J, detJ, N, dN = element_info!(bi, element, ip, time)
if haskey(element, "flux")
f = element("flux", ip, time)
fe += ip.weight * N'*f * detJ
end
if haskey(element, "fixed u")
f = element("fixed u", ip, time)
Ce += ip.weight * N'*N * detJ
ge += ip.weight * N'*f * detJ
end
end
gdofs = get_gdofs(problem, element)
add!(assembly.C1, gdofs, gdofs, Ce')
add!(assembly.C2, gdofs, gdofs, Ce)
add!(assembly.f, gdofs, fe)
add!(assembly.g, gdofs, ge)
end
end
type Dirichlet <: BoundaryProblem end
function assemble_elements!{E}(problem::Problem{Dirichlet},
assembly::Assembly,
elements::Vector{Element{E}},
time::Float64)
name = get_parent_field_name(problem)
dim = get_unknown_field_dimension(problem)
data = Dict{Int64,Float64}()
for element in elements
for i=1:dim
haskey(element, "$name $i") || continue
gdofs = get_gdofs(problem, element)
ldofs = gdofs[i:dim:end]
xis = get_reference_element_coordinates(E)
for (ldof, xi) in zip(ldofs, xis)
data[ldof] = interpolate(element, "$name $i", xi, time)
end
end
end
for (dof, val) in data
add!(assembly.C1, dof, dof, 1.0)
add!(assembly.C2, dof, dof, 1.0)
add!(assembly.g, dof, val)
end
end
type LUSolver <: AbstractLinearSystemSolver
end
"""
solve!(solver::LUSolver, ls::LinearSystem)
Solve linear system using LU factorization. If final system has zero rows,
add 1 to diagonal to make matrix non-singular.
"""
function solve!(ls::LinearSystem, ::LUSolver)
A = [ls.K ls.C1; ls.C2 ls.D]
b = [ls.f; ls.g]
# add 1.0 to diagonal for any zero rows in system
p = ones(2*ls.dim)
p[unique(rowvals(A))] = 0.0
A += spdiagm(p)
# solve A*x = b using LU factorization and update solution vectors
x = lufact(A) \ full(b)
ls.u = x[1:ls.dim]
ls.la = x[ls.dim+1:end]
return nothing
end
type Static <: AbstractAnalysis
time :: Float64
end
function Static()
return Static(0.0)
end
"""
get_linear_system(problems, time)
Assemble `problems` and construct LinearSystem for test problem.
"""
function get_linear_system(problems, time)
# assemble matrices for all problems
N = 0 # size of resulting matrix
for problem in problems
assemble!(problem, time)
N = max(N, size(problem.assembly.K, 2))
end
# create new LinearSystem and add assemblies to that
ls = LinearSystem(N)
for problem in problems
ls.M += sparse(problem.assembly.M, N, N)
ls.K += sparse(problem.assembly.K, N, N)
ls.Kg += sparse(problem.assembly.K, N, N)
ls.f += sparse(problem.assembly.f, N, 1)
ls.fg += sparse(problem.assembly.f, N, 1)
ls.C1 += sparse(problem.assembly.C1, N, N)
ls.C2 += sparse(problem.assembly.C2, N, N)
ls.D += sparse(problem.assembly.D, N, N)
ls.g += sparse(problem.assembly.g, N, 1)
end
return ls
end
"""
run!(analysis::Analysis{Static})
Run static analysis for test problem. This is for testing purposes only and
should not be used in real simulations.
"""
function run!(analysis::Analysis{Static})
info("This is from FEMBase.Test.Analysis{Static}, which is for testing ",
"purposes only.")
ls = get_linear_system(get_problems(analysis), analysis.properties.time)
solve!(ls, LUSolver())
normu = norm(ls.u)
normla = norm(ls.la)
info("Solution norms are |u| = $normu, |la| = $normla")
return ls, normu, normla
end
export Poisson, Dirichlet, Static, LUSolver, get_linear_system, abaqus_read_mtx
function read_mtx(data::IO; dim=0)
if dim == 0
for ln in eachline(data)
i,idof,j,jdof,value = map(parse, split(ln, ','))
dim = max(dim, idof, jdof)
end
end
seekstart(data)
I = Int64[]
J = Int64[]
V = Float64[]
for ln in eachline(data)
i,idof,j,jdof,value = map(parse, split(ln, ','))
if i < 1 || j < 1
continue
end
push!(I, (i-1)*dim+idof)
push!(J, (j-1)*dim+jdof)
push!(V, value)
end
A = full(sparse(I, J, V))
A += transpose(tril(A,-1))
return A
end
"""
read_mtx_from_file(filename::String; dim=0)
Read matrix data export from ABAQUS by using command:
*STEP
*MATRIX GENERATE, STIFFNESS, MASS, LOAD
*MATRIX OUTPUT, STIFFNESS, MASS, LOAD
*END STEP
If number of dofs / node (dim) is not given, it will be automatically
detemined from file.
"""
function read_mtx_from_file(filename::String; dim=0)
open(filename) do fid
return read_mtx(fid; dim=dim)
end
end
function read_mtx_from_string(data::String; dim=0)
return read_mtx(IOBuffer(data); dim=dim)
end
"""
test_resource(resource::String) -> String
`@test_resource(resource)` expands to a string containing full path to the some
`resource` what is needed by a test.
# Example
Say, test file name is `test_run_model.jl` inside package called `Models`.
One needs a test mesh file `mesh.inp`. Then, function
```julia
mesh_file = @test_resource("mesh.inp")
```
expands to
`~/.julia/v0.6/Models/test/test_run_model/mesh.inp`
Macro must be used inside the actual test file.
"""
macro test_resource(resource::String)
#__source__.file === nothing && return nothing
#filename = String(__source__.file)
filename = Base.source_path()
abs_dirname = abspath(dirname(filename))
test_dir_name = first(splitext(basename(filename)))
resource_ = joinpath(abs_dirname, test_dir_name, resource)
if !isfile(resource_)
warn("Cannot find resource $resource_")
end
return resource_
end
export read_mtx_from_file, read_mtx_from_string, @test_resource
end