tests/examples: import -> using

no declarations, so import is not required

Author: alyst

test/examples/multigroup/build_models.jl

@@ -134,16 +134,15 @@ struct UserSemML <: SemLossFunction end
 ### functors
 ############################################################################################
 
-import LinearAlgebra: isposdef, logdet, tr, inv
-import StructuralEquationModels: Σ, obs_cov, objective!
-
-function objective!(semml::UserSemML, parameters, model::AbstractSem)
-    let Σ = Σ(imply(model)), Σₒ = obs_cov(observed(model))
-        if !isposdef(Σ)
-            return Inf
-        else
-            return logdet(Σ) + tr(inv(Σ) * Σₒ)
-        end
+using LinearAlgebra: isposdef, logdet, tr, inv
+
+function SEM.objective!(semml::UserSemML, parameters, model::AbstractSem)
+    Σ = imply(model).Σ
+    Σₒ = SEM.obs_cov(observed(model))
+    if !isposdef(Σ)
+        return Inf
+    else
+        return logdet(Σ) + tr(inv(Σ) * Σₒ)
     end
 end
 

test/examples/multigroup/multigroup.jl

@@ -1,12 +1,9 @@
 using StructuralEquationModels, Test, FiniteDiff
-import LinearAlgebra: diagind, LowerTriangular
-# import StructuralEquationModels as SEM
-include(
-    joinpath(
-        chop(dirname(pathof(StructuralEquationModels)), tail = 3),
-        "test/examples/helper.jl",
-    ),
-)
+using LinearAlgebra: diagind, LowerTriangular
+
+const SEM = StructuralEquationModels
+
+include(joinpath(chop(dirname(pathof(SEM)), tail = 3), "test/examples/helper.jl"))
 
 dat = example_data("holzinger_swineford")
 dat_missing = example_data("holzinger_swineford_missing")

test/examples/political_democracy/constructor.jl

@@ -1,4 +1,4 @@
-import Statistics: cov, mean
+using Statistics: cov, mean
 
 ############################################################################################
 ### models w.o. meanstructure

test/examples/political_democracy/political_democracy.jl

@@ -1,5 +1,5 @@
 using StructuralEquationModels, Test, FiniteDiff
-# import StructuralEquationModels as SEM
+
 include(
     joinpath(
         chop(dirname(pathof(StructuralEquationModels)), tail = 3),

test/examples/recover_parameters/recover_parameters_twofact.jl

@@ -1,5 +1,5 @@
 using StructuralEquationModels, Distributions, Random, Optim, LineSearches
-import StructuralEquationModels as SEM
+
 include(
     joinpath(
         chop(dirname(pathof(StructuralEquationModels)), tail = 3),
@@ -63,7 +63,7 @@ Random.seed!(1234)
 x = transpose(rand(true_dist, 100000))
 semobserved = SemObservedData(data = x, specification = nothing)
 
-loss_ml = SemLoss(SEM.SemML(; observed = semobserved, n_par = length(start)))
+loss_ml = SemLoss(SemML(; observed = semobserved, n_par = length(start)))
 
 optimizer = SemOptimizerOptim(
     BFGS(; linesearch = BackTracking(order = 3), alphaguess = InitialHagerZhang()),# m = 100),

test/unit_tests/data_input_formats.jl

@@ -1,6 +1,5 @@
 using StructuralEquationModels, Test, Statistics
-import StructuralEquationModels: obs_cov, obs_mean, get_data
-
+using StructuralEquationModels: obs_cov, obs_mean, get_data
 ### model specification --------------------------------------------------------------------
 
 spec = ParameterTable(nothing)