Replace \parallel by \sqcup

Author: juliohm

README.md

@@ -21,7 +21,7 @@ Here are some unique features:
   keeping constants around.
 
 - Pipelines can be easily constructed with clean syntax
-  `(f1 → f2 → f3) ∥ (f4 → f5)`, and they are automatically
+  `(f1 → f2 → f3) ⊔ (f4 → f5)`, and they are automatically
   revertible when the individual transforms are revertible.
 
 - Branches of a pipeline are run in parallel using multiple threads
@@ -86,7 +86,7 @@ f2 = Scale()
 f3 = Quantile()
 f4 = Functional(cos)
 f5 = Interquartile()
-pipeline = (f1 → f2 → f3) ∥ (f4 → f5)
+pipeline = (f1 → f2 → f3) ⊔ (f4 → f5)
 
 # feed data into the pipeline
 table |> pipeline |> corner
@@ -130,7 +130,7 @@ Please check the docstrings for additional information.
 | `DRS` | Shortcut for `ZScore() → EigenAnalysis(:VD)` |
 | `SDS` | Shortcut for `ZScore() → EigenAnalysis(:VDV)` |
 | `Sequential` | Transform created with `→` (\to in LaTeX) |
-| `Parallel` | Transform created with `∥` (\parallel in LaTeX) |
+| `Parallel` | Transform created with `⊔` (\parallel in LaTeX) |
 
 ### External
 

src/TableTransforms.jl

@@ -39,6 +39,6 @@ export
   PCA, DRS, SDS,
   Sequential,
   Parallel,
-  →, ∥
+  →, ⊔
 
 end

src/transforms/parallel.jl

@@ -89,12 +89,12 @@ function revert(p::Parallel, newtable, cache)
 end
 
 """
-    transform₁ ∥ transform₂ ∥ ⋯ ∥ transformₙ
+    transform₁ ⊔ transform₂ ⊔ ⋯ ⊔ transformₙ
 
 Create a [`Parallel`](@ref) transform with
 `[transform₁, transform₂, …, transformₙ]`.
 """
-∥(t1::Transform, t2::Transform) = Parallel([t1, t2])
-∥(t1::Transform, t2::Parallel)  = Parallel([t1; t2.transforms])
-∥(t1::Parallel, t2::Transform)  = Parallel([t1.transforms; t2])
-∥(t1::Parallel, t2::Parallel)   = Parallel([t1.transforms; t2.transforms])
+⊔(t1::Transform, t2::Transform) = Parallel([t1, t2])
+⊔(t1::Transform, t2::Parallel)  = Parallel([t1; t2.transforms])
+⊔(t1::Parallel, t2::Transform)  = Parallel([t1.transforms; t2])
+⊔(t1::Parallel, t2::Parallel)   = Parallel([t1.transforms; t2.transforms])

test/transforms.jl

@@ -307,7 +307,7 @@
     y = x + rand(Normal(0,2), 1500)
     z = y + rand(Normal(0,5), 1500)
     t = Table(; x, y, z)
-    T = Scale(low=0.3, high=0.6) ∥ EigenAnalysis(:VDV)
+    T = Scale(low=0.3, high=0.6) ⊔ EigenAnalysis(:VDV)
     n, c = apply(T, t)
     tₒ = revert(T, n, c)
     @test Tables.matrix(t) ≈ Tables.matrix(tₒ)
@@ -317,7 +317,7 @@
     y = x + rand(Normal(0,2), 1500)
     z = y + rand(Normal(0,5), 1500)
     t = Table(; x, y, z)
-    T = ZScore() ∥ EigenAnalysis(:V)
+    T = ZScore() ⊔ EigenAnalysis(:V)
     n = T(t)
     @test length(Tables.columnnames(n)) == 6
 
@@ -329,8 +329,8 @@
     T₁ = Center()
     T₂ = Scale(low=0.2, high=0.8)
     T₃ = EigenAnalysis(:VD)
-    P₁ = T₁ → (T₂ ∥ T₃)
-    P₂ = (T₁ → T₂) ∥ (T₁ →T₃)
+    P₁ = T₁ → (T₂ ⊔ T₃)
+    P₂ = (T₁ → T₂) ⊔ (T₁ →T₃)
     n₁ = P₁(t)
     n₂ = P₂(t)
     @test Tables.matrix(n₁) ≈ Tables.matrix(n₂)