Update for latest TableTransforms.jl

Project.toml

@@ -1,7 +1,7 @@
 name = "CoDa"
 uuid = "5900dafe-f573-5c72-b367-76665857777b"
 author = "Júlio Hoffimann <julio.hoffimann@gmail.com>"
-version = "1.0.6"
+version = "1.0.7"
 
 [deps]
 AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
@@ -26,6 +26,6 @@ FillArrays = "0.12, 0.13"
 ScientificTypes = "3.0"
 StaticArrays = "1.0"
 StatsBase = "0.32, 0.33"
-TableTransforms = "1.6"
+TableTransforms = "1.9"
 Tables = "1.1"
 julia = "1.6"

src/CoDa.jl

@@ -20,6 +20,7 @@ import Tables
 import ScientificTypes as ST
 import TableTransforms: FeatureTransform
 import TableTransforms: StatelessFeatureTransform
+import TableTransforms: SciTypeAssertion
 import TableTransforms: assertions, isrevertible
 import TableTransforms: applyfeat, revertfeat
 import TableTransforms: preprocess, reapply

src/transforms.jl

@@ -24,16 +24,11 @@ See also [`ALR`](@ref), [`CLR`](@ref), [`ILR`](@ref).
 """
 abstract type LogRatio <: StatelessFeatureTransform end
 
-assertions(::Type{<:LogRatio}) = [TableTransforms.assert_continuous]
-
 isrevertible(::Type{<:LogRatio}) = true
 
-function applyfeat(transform::LogRatio, table, prep)
-  # basic checks
-  for assertion in assertions(transform)
-    assertion(table)
-  end
+assertions(::Type{<:LogRatio}) = [SciTypeAssertion{ST.Continuous}()]
 
+function applyfeat(transform::LogRatio, table, prep)
   # original variable names
   vars = Tables.columnnames(table)
 

src/transforms/closure.jl

@@ -8,19 +8,16 @@
 The transform that applies the closure operation 𝒞
 to all rows of the input table. The rows of the
 output table sum to one.
+
+See also [`Remainder`](@ref).
 """
 struct Closure <: StatelessFeatureTransform end
 
 isrevertible(::Type{Closure}) = true
 
-assertions(::Type{Closure}) = [TableTransforms.assert_continuous]
+assertions(::Type{Closure}) = [SciTypeAssertion{ST.Continuous}()]
 
 function applyfeat(transform::Closure, table, prep)
-  # basic checks
-  for assertion in assertions(transform)
-    assertion(table)
-  end
-
   # original column names
   names = Tables.columnnames(table)
 

src/transforms/remainder.jl

@@ -9,6 +9,8 @@ The transform that takes a table with columns `x₁, x₂, …, xₙ`
 and returns a new table with an additional column containing the
 remainder value `xₙ₊₁ = total .- (x₁ + x₂ + ⋯ + xₙ)` If the `total`
 value is not specified, then default to the maximum sum across rows.
+
+See also [`Closure`](@ref).
 """
 struct Remainder <: FeatureTransform
   total::Union{Float64,Nothing}
@@ -18,7 +20,7 @@ Remainder() = Remainder(nothing)
 
 isrevertible(::Type{Remainder}) = true
 
-assertions(::Type{Remainder}) = [TableTransforms.assert_continuous]
+assertions(::Type{Remainder}) = [SciTypeAssertion{ST.Continuous}()]
 
 function preprocess(transform::Remainder, table)
   # find total across rows