Use TransformsBase.jl

Author: juliohm

Project.toml

@@ -1,7 +1,7 @@
 name = "TableTransforms"
 uuid = "0d432bfd-3ee1-4ac1-886a-39f05cc69a3e"
 authors = ["Júlio Hoffimann <[email protected]> and contributors"]
-version = "1.6.1"
+version = "1.6.2"
 
 [deps]
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
@@ -15,7 +15,7 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 Transducers = "28d57a85-8fef-5791-bfe6-a80928e7c999"
-TransformsAPI = "756644eb-7399-463e-a86e-97605fb648cd"
+TransformsBase = "28dd2a49-a57a-4bfb-84ca-1a49db9b96b8"
 
 [compat]
 AbstractTrees = "0.4"
@@ -26,5 +26,5 @@ ScientificTypes = "2.3, 3.0"
 StatsBase = "0.33"
 Tables = "1.6"
 Transducers = "0.4"
-TransformsAPI = "0.4"
+TransformsBase = "0.1"
 julia = "1.6"

src/TableTransforms.jl

@@ -20,10 +20,10 @@ using Random
 import Distributions: ContinuousUnivariateDistribution
 import Distributions: quantile, cdf
 
-import TransformsAPI: Transform
-import TransformsAPI: assertions, isrevertible, preprocess
-import TransformsAPI: apply, revert, reapply
-import TransformsAPI: Identity, →
+import TransformsBase: Transform
+import TransformsBase: assertions, isrevertible, preprocess
+import TransformsBase: apply, revert, reapply
+import TransformsBase: Identity, →
 
 include("tabletraits.jl")
 include("assertions.jl")