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Cabal revisions of dataframe-learn-1.0.2.0

Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.

revision 1
-cabal-version:      2.4-name:               dataframe-learn-version:            1.0.2.0--synopsis:           Decision trees and feature synthesis for the dataframe ecosystem.-description:-    @DataFrame.DecisionTree@ — decision-tree training on DataFrames.-    @DataFrame.Synthesis@ — feature synthesis. Built on top of-    @dataframe-operations@.--bug-reports:        https://github.com/mchav/dataframe/issues-license:            MIT-license-file:       LICENSE-author:             Michael Chavinda-maintainer:         mschavinda@gmail.com-copyright:          (c) 2024-2026 Michael Chavinda-category:           Data-tested-with:        GHC ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2--common warnings-    ghc-options:-        -Wincomplete-patterns-        -Wincomplete-uni-patterns-        -Wunused-imports-        -Wunused-local-binds-        -Wunused-packages--library-    import:             warnings-    exposed-modules:-                        DataFrame.DecisionTree-                        DataFrame.DecisionTree.Types-                        DataFrame.DecisionTree.CondVec-                        DataFrame.DecisionTree.Cart-                        DataFrame.DecisionTree.Numeric-                        DataFrame.DecisionTree.Prune-                        DataFrame.DecisionTree.Predict-                        DataFrame.DecisionTree.Categorical-                        DataFrame.DecisionTree.Pool-                        DataFrame.DecisionTree.Linear-                        DataFrame.DecisionTree.Tao-                        DataFrame.DecisionTree.Fit-                        DataFrame.LinearSolver-                        DataFrame.Synthesis-    build-depends:      base >= 4 && < 5,-                        containers >= 0.6.7 && < 0.9,-                        parallel ^>= 3.2,-                        dataframe-core ^>= 1.0,-                        dataframe-operations ^>= 1.1,-                        text >= 2.0 && < 3,-                        vector ^>= 0.13,-                        vector-algorithms ^>= 0.9-    hs-source-dirs:     src-    default-language:   Haskell2010+cabal-version:      2.4
+name:               dataframe-learn
+version:            1.0.2.0
+x-revision: 1
+
+synopsis:           Decision trees and feature synthesis for the dataframe ecosystem.
+description:
+    @DataFrame.DecisionTree@ — decision-tree training on DataFrames.
+    @DataFrame.Synthesis@ — feature synthesis. Built on top of
+    @dataframe-operations@.
+
+bug-reports:        https://github.com/mchav/dataframe/issues
+license:            MIT
+license-file:       LICENSE
+author:             Michael Chavinda
+maintainer:         mschavinda@gmail.com
+copyright:          (c) 2024-2026 Michael Chavinda
+category:           Data
+tested-with:        GHC ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2
+
+common warnings
+    ghc-options:
+        -Wincomplete-patterns
+        -Wincomplete-uni-patterns
+        -Wunused-imports
+        -Wunused-local-binds
+        -Wunused-packages
+
+library
+    import:             warnings
+    exposed-modules:
+                        DataFrame.DecisionTree
+                        DataFrame.DecisionTree.Types
+                        DataFrame.DecisionTree.CondVec
+                        DataFrame.DecisionTree.Cart
+                        DataFrame.DecisionTree.Numeric
+                        DataFrame.DecisionTree.Prune
+                        DataFrame.DecisionTree.Predict
+                        DataFrame.DecisionTree.Categorical
+                        DataFrame.DecisionTree.Pool
+                        DataFrame.DecisionTree.Linear
+                        DataFrame.DecisionTree.Tao
+                        DataFrame.DecisionTree.Fit
+                        DataFrame.LinearSolver
+                        DataFrame.Synthesis
+    build-depends:      base >= 4 && < 5,
+                        containers >= 0.6.7 && < 0.9,
+                        parallel >= 3 && < 4,
+                        dataframe-core ^>= 1.0,
+                        dataframe-operations ^>= 1.1,
+                        text >= 2.0 && < 3,
+                        vector ^>= 0.13,
+                        vector-algorithms ^>= 0.9
+    hs-source-dirs:     src
+    default-language:   Haskell2010