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test_abstract_operations_computed_field.jl
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test_abstract_operations_computed_field.jl
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using Oceananigans.AbstractOperations: UnaryOperation, Derivative, BinaryOperation, MultiaryOperation
using Oceananigans.Fields: PressureField, compute_at!
using Oceananigans.BuoyancyModels: BuoyancyField
function simple_binary_operation(op, a, b, num1, num2)
a_b = op(a, b)
interior(a) .= num1
interior(b) .= num2
return a_b[2, 2, 2] == op(num1, num2)
end
function three_field_addition(a, b, c, num1, num2)
a_b_c = a + b + c
interior(a) .= num1
interior(b) .= num2
interior(c) .= num2
return a_b_c[2, 2, 2] == num1 + num2 + num2
end
function x_derivative(a)
dx_a = ∂x(a)
for k in 1:3
interior(a)[:, 1, k] .= [1, 2, 3]
interior(a)[:, 2, k] .= [1, 2, 3]
interior(a)[:, 3, k] .= [1, 2, 3]
end
return dx_a[2, 2, 2] == 1
end
function y_derivative(a)
dy_a = ∂y(a)
for k in 1:3
interior(a)[1, :, k] .= [1, 3, 5]
interior(a)[2, :, k] .= [1, 3, 5]
interior(a)[3, :, k] .= [1, 3, 5]
end
return dy_a[2, 2, 2] == 2
end
function z_derivative(a)
dz_a = ∂z(a)
for k in 1:3
interior(a)[1, k, :] .= [1, 4, 7]
interior(a)[2, k, :] .= [1, 4, 7]
interior(a)[3, k, :] .= [1, 4, 7]
end
return dz_a[2, 2, 2] == 3
end
function x_derivative_cell(FT, arch)
grid = RegularRectilinearGrid(FT, size=(3, 3, 3), extent=(3, 3, 3))
a = Field(Center, Center, Center, arch, grid, nothing)
dx_a = ∂x(a)
for k in 1:3
interior(a)[:, 1, k] .= [1, 4, 4]
interior(a)[:, 2, k] .= [1, 4, 4]
interior(a)[:, 3, k] .= [1, 4, 4]
end
return dx_a[2, 2, 2] == 3
end
function times_x_derivative(a, b, location, i, j, k, answer)
a∇b = @at location b * ∂x(a)
return a∇b[i, j, k] == answer
end
function compute_derivative(model, ∂)
T, S = model.tracers
S.data.parent .= π
@compute ∂S = ComputedField(∂(S))
result = Array(interior(∂S))
return all(result .≈ zero(eltype(model.grid)))
end
function compute_unary(unary, model)
set!(model; S=π)
T, S = model.tracers
@compute uS = ComputedField(unary(S), data=model.pressures.pHY′.data)
result = Array(interior(uS))
return all(result .≈ unary(eltype(model.grid)(π)))
end
function compute_plus(model)
set!(model; S=π, T=42)
T, S = model.tracers
@compute ST = ComputedField(S + T, data=model.pressures.pHY′.data)
result = Array(interior(ST))
return all(result .≈ eltype(model.grid)(π+42))
end
function compute_many_plus(model)
set!(model; u=2, S=π, T=42)
T, S = model.tracers
u, v, w = model.velocities
@compute uTS = ComputedField(@at((Center, Center, Center), u + T + S))
result = Array(interior(uTS))
return all(result .≈ eltype(model.grid)(2+π+42))
end
function compute_minus(model)
set!(model; S=π, T=42)
T, S = model.tracers
@compute ST = ComputedField(S - T, data=model.pressures.pHY′.data)
result = Array(interior(ST))
return all(result .≈ eltype(model.grid)(π-42))
end
function compute_times(model)
set!(model; S=π, T=42)
T, S = model.tracers
@compute ST = ComputedField(S * T, data=model.pressures.pHY′.data)
result = Array(interior(ST))
return all(result .≈ eltype(model.grid)(π*42))
end
function compute_kinetic_energy(model)
u, v, w = model.velocities
set!(u, 1)
set!(v, 2)
set!(w, 3)
kinetic_energy_operation = @at (Center, Center, Center) (u^2 + v^2 + w^2) / 2
@compute kinetic_energy = ComputedField(kinetic_energy_operation, data=model.pressures.pHY′.data)
result = Array(interior(kinetic_energy))
return all(result .≈ 7)
end
function horizontal_average_of_plus(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
S₀(x, y, z) = sin(π * z)
T₀(x, y, z) = 42 * z
set!(model; S=S₀, T=T₀)
T, S = model.tracers
@compute ST = AveragedField(S + T, dims=(1, 2))
zC = znodes(Center, model.grid)
correct_profile = @. sin(π * zC) + 42 * zC
result = Array(interior(ST))[:]
return all(result .≈ correct_profile)
end
function zonal_average_of_plus(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
S₀(x, y, z) = sin(π*z) * sin(π*y)
T₀(x, y, z) = 42*z + y^2
set!(model; S=S₀, T=T₀)
T, S = model.tracers
@compute ST = AveragedField(S + T, dims=1)
yC = ynodes(Center, model.grid, reshape=true)
zC = znodes(Center, model.grid, reshape=true)
correct_slice = @. sin(π * zC) * sin(π * yC) + 42*zC + yC^2
result = Array(interior(ST))
return all(result[1, :, :] .≈ correct_slice[1, :, :])
end
function volume_average_of_times(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
S₀(x, y, z) = 1 + sin(2π*x)
T₀(x, y, z) = y
set!(model; S=S₀, T=T₀)
T, S = model.tracers
@compute ST = AveragedField(S * T, dims=(1, 2, 3))
result = Array(interior(ST))
return all(result[1, 1, 1] .≈ 0.5)
end
function horizontal_average_of_minus(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
S₀(x, y, z) = sin(π*z)
T₀(x, y, z) = 42*z
set!(model; S=S₀, T=T₀)
T, S = model.tracers
@compute ST = AveragedField(S - T, dims=(1, 2))
zC = znodes(Center, model.grid)
correct_profile = @. sin(π * zC) - 42 * zC
result = Array(interior(ST))
return all(result[1, 1, 1:Nz] .≈ correct_profile)
end
function horizontal_average_of_times(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
S₀(x, y, z) = sin(π*z)
T₀(x, y, z) = 42*z
set!(model; S=S₀, T=T₀)
T, S = model.tracers
@compute ST = AveragedField(S * T, dims=(1, 2))
zC = znodes(Center, model.grid)
correct_profile = @. sin(π * zC) * 42 * zC
result = Array(interior(ST))
return all(result[1, 1, 1:Nz] .≈ correct_profile)
end
function multiplication_and_derivative_ccf(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
w₀(x, y, z) = sin(π * z)
T₀(x, y, z) = 42 * z
set!(model; enforce_incompressibility=false, w=w₀, T=T₀)
w = model.velocities.w
T = model.tracers.T
@compute wT = AveragedField(w * ∂z(T), dims=(1, 2))
zF = znodes(Face, model.grid)
correct_profile = @. 42 * sin(π * zF)
result = Array(interior(wT))
# Omit both halos and boundary points
return all(result[1, 1, 2:Nz] .≈ correct_profile[2:Nz])
end
const C = Center
const F = Face
function multiplication_and_derivative_ccc(model)
Ny, Nz = model.grid.Ny, model.grid.Nz
w₀(x, y, z) = sin(π*z)
T₀(x, y, z) = 42*z
set!(model; enforce_incompressibility=false, w=w₀, T=T₀)
w = model.velocities.w
T = model.tracers.T
wT_ccc = @at (C, C, C) w * ∂z(T)
@compute wT_ccc_avg = AveragedField(wT_ccc, dims=(1, 2))
zF = znodes(Face, model.grid)
sinusoid = sin.(π * zF)
interped_sin = [(sinusoid[k] + sinusoid[k+1]) / 2 for k in 1:model.grid.Nz]
correct_profile = interped_sin .* 42
result = Array(interior(wT_ccc_avg))
# Omit boundary-adjacent points from comparison
return all(result[1, 1, 2:Nz-1] .≈ correct_profile[2:Nz-1])
end
function computation_including_boundaries(FT, arch)
topo = (Periodic, Bounded, Bounded)
grid = RegularRectilinearGrid(FT, topology=topo, size=(13, 17, 19), extent=(1, 1, 1))
model = IncompressibleModel(architecture=arch, float_type=FT, grid=grid)
u, v, w = model.velocities
@. u.data = 1 + rand()
@. v.data = 2 + rand()
@. w.data = 3 + rand()
op = @at (Center, Face, Face) u * v * w
@compute uvw = ComputedField(op)
return all(interior(uvw) .!= 0)
end
function operations_with_computed_field(model)
u, v, w = model.velocities
uv = ComputedField(u * v)
@compute uvw = ComputedField(uv * w)
return true
end
function operations_with_averaged_field(model)
u, v, w = model.velocities
UV = AveragedField(u * v, dims=(1, 2))
wUV = ComputedField(w * UV)
compute!(wUV)
return true
end
function pressure_field(model)
p = PressureField(model)
u, v, w = model.velocities
@compute up = ComputedField(u * p)
return true
end
function computations_with_buoyancy_field(FT, arch, buoyancy)
grid = RegularRectilinearGrid(FT, size=(1, 1, 1), extent=(1, 1, 1))
tracers = buoyancy isa BuoyancyTracer ? :b : (:T, :S)
model = IncompressibleModel(architecture=arch, float_type=FT, grid=grid,
tracers=tracers, buoyancy=buoyancy)
b = BuoyancyField(model)
u, v, w = model.velocities
compute!(b)
ub = ComputedField(b * u)
vb = ComputedField(b * v)
wb = ComputedField(b * w)
compute!(ub)
compute!(vb)
compute!(wb)
return true # test that it doesn't error
end
function computations_with_averaged_fields(model)
u, v, w, T, S = fields(model)
set!(model, enforce_incompressibility = false, u = (x, y, z) -> z, v = 2, w = 3)
# Two ways to compute turbulent kinetic energy
U = AveragedField(u, dims=(1, 2))
V = AveragedField(v, dims=(1, 2))
tke_op = @at (Center, Center, Center) ((u - U)^2 + (v - V)^2 + w^2) / 2
tke = ComputedField(tke_op)
compute!(tke)
return all(interior(tke)[2:3, 2:3, 2:3] .== 9/2)
end
function computations_with_averaged_field_derivative(model)
set!(model, enforce_incompressibility = false, u = (x, y, z) -> z, v = 2, w = 3)
u, v, w, T, S = fields(model)
# Two ways to compute turbulent kinetic energy
U = AveragedField(u, dims=(1, 2))
V = AveragedField(v, dims=(1, 2))
# This tests a vertical derivative of an AveragedField
shear_production_op = @at (Center, Center, Center) u * w * ∂z(U)
shear = ComputedField(shear_production_op)
compute!(shear)
set!(model, T = (x, y, z) -> 3 * z)
return all(interior(shear)[2:3, 2:3, 2:3] .== interior(T)[2:3, 2:3, 2:3])
end
function computations_with_computed_fields(model)
u, v, w, T, S = fields(model)
set!(model, enforce_incompressibility = false, u = (x, y, z) -> z, v = 2, w = 3)
# Two ways to compute turbulent kinetic energy
U = AveragedField(u, dims=(1, 2))
V = AveragedField(v, dims=(1, 2))
u′ = ComputedField(u - U)
v′ = ComputedField(v - V)
tke_op = @at (Center, Center, Center) (u′^2 + v′^2 + w^2) / 2
tke = ComputedField(tke_op)
compute!(tke)
return all(interior(tke)[2:3, 2:3, 2:3] .== 9/2)
end
@testset "Abstract operations" begin
@info "Testing abstract operations..."
for FT in float_types
arch = CPU()
grid = RegularRectilinearGrid(FT, size=(3, 3, 3), extent=(3, 3, 3))
u, v, w = VelocityFields(arch, grid)
c = Field(Center, Center, Center, arch, grid, nothing)
@testset "Unary operations and derivatives [$FT]" begin
for ψ in (u, v, w, c)
for op in (sqrt, sin, cos, exp, tanh)
@test typeof(op(ψ)[2, 2, 2]) <: Number
end
for d_symbol in Oceananigans.AbstractOperations.derivative_operators
d = eval(d_symbol)
@test typeof(d(ψ)[2, 2, 2]) <: Number
end
end
end
@testset "Binary operations [$FT]" begin
generic_function(x, y, z) = x + y + z
for (ψ, ϕ) in ((u, v), (u, w), (v, w), (u, c), (generic_function, c), (u, generic_function))
for op_symbol in Oceananigans.AbstractOperations.binary_operators
op = eval(op_symbol)
@test typeof(op(ψ, ϕ)[2, 2, 2]) <: Number
end
end
end
@testset "Multiary operations [$FT]" begin
generic_function(x, y, z) = x + y + z
for (ψ, ϕ, σ) in ((u, v, w), (u, v, c), (u, v, generic_function))
for op_symbol in Oceananigans.AbstractOperations.multiary_operators
op = eval(op_symbol)
@test typeof(op((Center, Center, Center), ψ, ϕ, σ)[2, 2, 2]) <: Number
end
end
end
end
@testset "Fidelity of simple binary operations" begin
arch = CPU()
@info " Testing simple binary operations..."
for FT in float_types
num1 = FT(π)
num2 = FT(42)
grid = RegularRectilinearGrid(FT, size=(3, 3, 3), extent=(3, 3, 3))
u, v, w = VelocityFields(arch, grid)
T, S = TracerFields((:T, :S), arch, grid)
for op in (+, *, -, /)
@test simple_binary_operation(op, u, v, num1, num2)
@test simple_binary_operation(op, u, w, num1, num2)
@test simple_binary_operation(op, u, T, num1, num2)
@test simple_binary_operation(op, T, S, num1, num2)
end
@test three_field_addition(u, v, w, num1, num2)
end
end
@testset "Derivatives" begin
arch = CPU()
@info " Testing derivatives..."
for FT in float_types
grid = RegularRectilinearGrid(FT, size=(3, 3, 3), extent=(3, 3, 3),
topology=(Periodic, Periodic, Periodic))
u, v, w = VelocityFields(arch, grid)
T, S = TracerFields((:T, :S), arch, grid)
for a in (u, v, w, T)
@test x_derivative(a)
@test y_derivative(a)
@test z_derivative(a)
end
@test x_derivative_cell(FT, arch)
end
end
@testset "Combined binary operations and derivatives" begin
@info " Testing combined binary operations and derivatives..."
arch = CPU()
Nx = 3 # Δx=1, xC = 0.5, 1.5, 2.5
for FT in float_types
grid = RegularRectilinearGrid(FT, size=(Nx, Nx, Nx), extent=(Nx, Nx, Nx))
a, b = (Field(Center, Center, Center, arch, grid, nothing) for i in 1:2)
set!(b, 2)
set!(a, (x, y, z) -> x < 2 ? 3x : 6)
# 0 0.5 1 1.5 2 2.5 3
# x -▶ ∘ ~~~|--- * ---|--- * ---|--- * ---|~~~ ∘
# i Face: 0 1 2 3 4
# i Center: 0 1 2 3 4
# a = [ 0, 1.5, 4.5, 6, 0 ]
# b = [ 0, 2, 2, 2, 0 ]
# ∂x(a) = [ 1.5, 3, 1.5, -6 ]
# x -▶ ∘ ~~~|--- * ---|--- * ---|--- * ---|~~~ ∘
# i Face: 0 1 2 3 4
# i Center: 0 1 2 3 4
# ccc: b * ∂x(a) = [ 4.5, 4.5 -4.5, ]
# fcc: b * ∂x(a) = [ 3, 6, 3, -6 ]
@test times_x_derivative(a, b, (C, C, C), 1, 2, 2, 4.5)
@test times_x_derivative(a, b, (F, C, C), 1, 2, 2, 3)
@test times_x_derivative(a, b, (C, C, C), 2, 2, 2, 4.5)
@test times_x_derivative(a, b, (F, C, C), 2, 2, 2, 6)
@test times_x_derivative(a, b, (C, C, C), 3, 2, 2, -4.5)
@test times_x_derivative(a, b, (F, C, C), 3, 2, 2, 3)
end
end
for arch in archs
@testset "AbstractOperations and ComputedFields [$(typeof(arch))]" begin
@info " Testing combined binary operations and derivatives..."
for FT in (Float64,) #float_types
grid = RegularRectilinearGrid(FT, size=(4, 4, 4), extent=(1, 1, 1),
topology=(Periodic, Periodic, Bounded))
buoyancy = SeawaterBuoyancy(gravitational_acceleration = 1,
equation_of_state = LinearEquationOfState(α=1, β=1))
model = IncompressibleModel(architecture = arch,
float_type = FT,
grid = grid,
buoyancy = buoyancy)
@testset "Construction of abstract operations [$FT, $(typeof(arch))]" begin
@info " Testing construction of abstract operations [$FT, $(typeof(arch))]..."
u, v, w, T, S = fields(model)
for ϕ in (u, v, w, T, S)
for op in (sin, cos, sqrt, exp, tanh)
@test op(ϕ) isa UnaryOperation
end
for ∂ in (∂x, ∂y, ∂z)
@test ∂(ϕ) isa Derivative
end
@test u ^ 2 isa BinaryOperation
@test u * 2 isa BinaryOperation
@test u + 2 isa BinaryOperation
@test u - 2 isa BinaryOperation
@test u / 2 isa BinaryOperation
for ψ in (u, v, w, T, S)
@test ψ ^ ϕ isa BinaryOperation
@test ψ * ϕ isa BinaryOperation
@test ψ + ϕ isa BinaryOperation
@test ψ - ϕ isa BinaryOperation
@test ψ / ϕ isa BinaryOperation
for χ in (u, v, w, T, S)
@test ψ * ϕ * χ isa MultiaryOperation
@test ψ + ϕ + χ isa MultiaryOperation
end
end
end
end
@info " Testing computation of abstract operations [$FT, $(typeof(arch))]..."
@testset "Derivative computations [$FT, $(typeof(arch))]" begin
@info " Testing compute! derivatives..."
@test compute_derivative(model, ∂x)
@test compute_derivative(model, ∂y)
@test compute_derivative(model, ∂z)
end
@testset "Unary computations [$FT, $(typeof(arch))]" begin
@info " Testing compute! unary operations..."
for unary in (sqrt, sin, cos, exp, tanh)
@test compute_unary(unary, model)
end
end
@testset "Binary computations [$FT, $(typeof(arch))]" begin
@info " Testing compute! binary operations..."
@test compute_plus(model)
@test compute_minus(model)
@test compute_times(model)
# Basic compilation test for nested BinaryOperations...
u, v, w = model.velocities
@test try
compute!(ComputedField(u + v - w))
true
catch
false
end
end
@testset "Multiary computations [$FT, $(typeof(arch))]" begin
@info " Testing compute! multiary operations..."
@test compute_many_plus(model)
@info " Testing compute! kinetic energy..."
@test compute_kinetic_energy(model)
end
@testset "Operations with ComputedField and PressureField [$FT, $(typeof(arch))]" begin
@info " Testing operations with ComputedField..."
@test operations_with_computed_field(model)
@info " Testing PressureField..."
@test pressure_field(model)
end
@testset "Horizontal averages of operations [$FT, $(typeof(arch))]" begin
@info " Testing horizontal averges..."
@test horizontal_average_of_plus(model)
@test horizontal_average_of_minus(model)
@test horizontal_average_of_times(model)
@test multiplication_and_derivative_ccf(model)
@test multiplication_and_derivative_ccc(model)
end
@testset "Zonal averages of operations [$FT, $(typeof(arch))]" begin
@info " Testing zonal averges..."
@test zonal_average_of_plus(model)
end
@testset "Volume averages of operations [$FT, $(typeof(arch))]" begin
@info " Testing volume averges..."
@test volume_average_of_times(model)
end
@testset "ComputedField boundary conditions [$FT, $(typeof(arch))]" begin
@info " Testing boundary conditions for ComputedField..."
set!(model; S=π, T=42)
T, S = model.tracers
@compute ST = ComputedField(S + T, data=model.pressures.pHY′.data)
Nx, Ny, Nz = size(model.grid)
@test all(ST.data[0, 1:Ny, 1:Nz] .== ST.data[Nx+1, 1:Ny, 1:Nz])
@test all(ST.data[1:Nx, 0, 1:Nz] .== ST.data[1:Nx, Ny+1, 1:Nz])
@test all(ST.data[1:Nx, 1:Ny, 0] .== ST.data[1:Nx, 1:Ny, 1])
@test all(ST.data[1:Nx, 1:Ny, Nz] .== ST.data[1:Nx, 1:Ny, Nz+1])
@compute ST_face = ComputedField(@at (Center, Center, Face) S * T)
@test all(ST_face.data[1:Nx, 1:Ny, 0] .== 0)
@test all(ST_face.data[1:Nx, 1:Ny, Nz+2] .== 0)
end
@testset "Operations with AveragedField [$FT, $(typeof(arch))]" begin
@info " Testing operations with AveragedField..."
T, S = model.tracers
TS = AveragedField(T * S, dims=(1, 2))
@test operations_with_averaged_field(model)
end
@testset "Compute! on faces along bounded dimensions" begin
@info " Testing compute! on faces along bounded dimensions..."
@test computation_including_boundaries(FT, arch)
end
EquationsOfState = (LinearEquationOfState, SeawaterPolynomials.RoquetEquationOfState,
SeawaterPolynomials.TEOS10EquationOfState)
buoyancies = (BuoyancyTracer(), SeawaterBuoyancy(FT),
(SeawaterBuoyancy(FT, equation_of_state=eos(FT)) for eos in EquationsOfState)...)
for buoyancy in buoyancies
@testset "Computations with BuoyancyFields [$FT, $(typeof(arch)), $(typeof(buoyancy).name.wrapper)]" begin
@info " Testing computations with BuoyancyField " *
"[$FT, $(typeof(arch)), $(typeof(buoyancy).name.wrapper)]..."
@test computations_with_buoyancy_field(FT, arch, buoyancy)
end
end
@testset "Computations with AveragedFields [$FT, $(typeof(arch))]" begin
@info " Testing computations with AveragedField [$FT, $(typeof(arch))]..."
@test computations_with_averaged_field_derivative(model)
u, v, w = model.velocities
set!(model, enforce_incompressibility = false, u = (x, y, z) -> z, v = 2, w = 3)
# Two ways to compute turbulent kinetic energy
U = AveragedField(u, dims=(1, 2))
V = AveragedField(v, dims=(1, 2))
# Build up compilation tests incrementally...
u_prime = u - U
u_prime_ccc = @at (Center, Center, Center) u - U
u_prime_squared = (u - U)^2
u_prime_squared_ccc = @at (Center, Center, Center) (u - U)^2
horizontal_twice_tke = (u - U)^2 + (v - V)^2
horizontal_tke = ((u - U)^2 + (v - V)^2) / 2
horizontal_tke_ccc = @at (Center, Center, Center) ((u - U)^2 + (v - V)^2) / 2
twice_tke = (u - U)^2 + (v - V)^2 + w^2
tke = ((u - U)^2 + (v - V)^2 + w^2) / 2
tke_ccc = @at (Center, Center, Center) ((u - U)^2 + (v - V)^2 + w^2) / 2
@test try compute!(ComputedField(u_prime )); true; catch; false; end
@test try compute!(ComputedField(u_prime_ccc )); true; catch; false; end
@test try compute!(ComputedField(u_prime_squared )); true; catch; false; end
@test try compute!(ComputedField(u_prime_squared_ccc )); true; catch; false; end
@test try compute!(ComputedField(horizontal_twice_tke)); true; catch; false; end
@test try compute!(ComputedField(horizontal_tke )); true; catch; false; end
@test try compute!(ComputedField(twice_tke )); true; catch; false; end
@test try compute!(ComputedField(horizontal_tke_ccc )); true; catch; false; end
@test try compute!(ComputedField(tke )); true; catch; false; end
@test try compute!(ComputedField(tke_ccc )); true; catch; false; end
computed_tke = ComputedField(tke_ccc)
@test (compute!(computed_tke); all(interior(computed_tke)[2:3, 2:3, 2:3] .== 9/2))
end
@testset "Computations with ComputedFields [$FT, $(typeof(arch))]" begin
@info " Testing computations with ComputedField [$FT, $(typeof(arch))]..."
@test computations_with_computed_fields(model)
end
@testset "Conditional computation of ComputedField and BuoyancyField [$FT, $(typeof(arch))]" begin
@info " Testing conditional computation of ComputedField and BuoyancyField " *
"[$FT, $(typeof(arch))]..."
set!(model, u=2, v=0, w=0, T=3, S=0)
u, v, w, T, S = fields(model)
uT = ComputedField(u * T)
α = model.buoyancy.model.equation_of_state.α
g = model.buoyancy.model.gravitational_acceleration
b = BuoyancyField(model)
compute_at!(uT, 1.0)
compute_at!(b, 1.0)
@test all(interior(uT) .== 6)
@test all(interior(b) .== g * α * 3)
set!(model, u=2, T=4)
compute_at!(uT, 1.0)
compute_at!(b, 1.0)
@test all(interior(uT) .== 6)
@test all(interior(b) .== g * α * 3)
compute_at!(uT, 2.0)
compute_at!(b, 2.0)
@test all(interior(uT) .== 8)
@test all(interior(b) .== g * α * 4)
end
end
end
end
end