Merge pull request #111 from mschauer/workload

Prevent namespace pollution from workload

Author: mschauer

src/workloads.jl

@@ -1,25 +1,24 @@
 using PrecompileTools
 
 @setup_workload begin
-    N = 200 # number of data points
-
     # define simple linear model with added noise
-    x = randn(N)
-    v = x + randn(N)*0.25
-    w = x + randn(N)*0.25
-    z = v + w + randn(N)*0.25
-    s = z + randn(N)*0.25
-    
-    df = (x=x, v=v, w=w, z=z, s=s)
-   @compile_workload begin
-        ges(df; penalty=1.0, parallel=false)
-        pcalg(df, 0.01, gausscitest; stable=false)
+    df___ = let N = 200 # number of data points
+        x = randn(N)
+        v = x + randn(N)*0.25
+        w = x + randn(N)*0.25
+        z = v + w + randn(N)*0.25
+        s = z + randn(N)*0.25
+        (x=x, v=v, w=w, z=z, s=s)
+    end
+    @compile_workload begin
+        ges(df___; penalty=1.0, parallel=false)
+        pcalg(df___, 0.01, gausscitest; stable=false)
     end
 
-    dag = digraph([1 => 3, 3 => 6, 2 => 5, 5 => 8, 6 => 7, 7 => 8, 1 => 4, 2 => 4, 4 => 6, 4 => 8])
+    dag__ = digraph([1 => 3, 3 => 6, 2 => 5, 5 => 8, 6 => 7, 7 => 8, 1 => 4, 2 => 4, 4 => 6, 4 => 8])
 
     @compile_workload begin
-        dsep(dag, 6, 8, 1)
-        collect(list_covariate_adjustment(dag, 6, 8, Int[], setdiff(Set(1:8), [1, 2])))
+        dsep(dag__, 6, 8, 1)
+        collect(list_covariate_adjustment(dag__, 6, 8, Int[], setdiff(Set(1:8), [1, 2])))
     end
 end