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1 | 1 | @testset "Transforms" begin |
2 | 2 | # using MersenneTwister for compatibility between Julia versions |
3 | 3 | rng = MersenneTwister(42) |
| 4 | + @testset "ColSpec" begin |
| 5 | + veccols = [:a, :b, :c, :d, :e, :f] |
| 6 | + tupcols = (:a, :b, :c, :d, :e, :f) |
| 7 | + |
| 8 | + # vector of symbols |
| 9 | + colspec = [:a, :c, :e] |
| 10 | + cols = TableTransforms._filter(colspec, veccols) |
| 11 | + @test cols == [:a, :c, :e] |
| 12 | + cols = TableTransforms._filter(colspec, tupcols) |
| 13 | + @test cols == [:a, :c, :e] |
| 14 | + |
| 15 | + # tuple of symbols |
| 16 | + colspec = (:a, :c, :e) |
| 17 | + cols = TableTransforms._filter(colspec, veccols) |
| 18 | + @test cols == [:a, :c, :e] |
| 19 | + cols = TableTransforms._filter(colspec, tupcols) |
| 20 | + @test cols == [:a, :c, :e] |
| 21 | + |
| 22 | + # vector of strings |
| 23 | + colspec = ["a", "c", "e"] |
| 24 | + cols = TableTransforms._filter(colspec, veccols) |
| 25 | + @test cols == [:a, :c, :e] |
| 26 | + cols = TableTransforms._filter(colspec, tupcols) |
| 27 | + @test cols == [:a, :c, :e] |
| 28 | + |
| 29 | + # tuple of strings |
| 30 | + colspec = ("a", "c", "e") |
| 31 | + cols = TableTransforms._filter(colspec, veccols) |
| 32 | + @test cols == [:a, :c, :e] |
| 33 | + cols = TableTransforms._filter(colspec, tupcols) |
| 34 | + @test cols == [:a, :c, :e] |
| 35 | + |
| 36 | + # vector of integers |
| 37 | + colspec = [1, 3, 5] |
| 38 | + cols = TableTransforms._filter(colspec, veccols) |
| 39 | + @test cols == [:a, :c, :e] |
| 40 | + cols = TableTransforms._filter(colspec, tupcols) |
| 41 | + @test cols == [:a, :c, :e] |
| 42 | + |
| 43 | + # tuple of integers |
| 44 | + colspec = (1, 3, 5) |
| 45 | + cols = TableTransforms._filter(colspec, veccols) |
| 46 | + @test cols == [:a, :c, :e] |
| 47 | + cols = TableTransforms._filter(colspec, tupcols) |
| 48 | + @test cols == [:a, :c, :e] |
| 49 | + |
| 50 | + # regex |
| 51 | + colspec = r"[ace]" |
| 52 | + cols = TableTransforms._filter(colspec, veccols) |
| 53 | + @test cols == [:a, :c, :e] |
| 54 | + cols = TableTransforms._filter(colspec, tupcols) |
| 55 | + @test cols == [:a, :c, :e] |
| 56 | + |
| 57 | + # colon |
| 58 | + cols = TableTransforms._filter(:, veccols) |
| 59 | + @test cols == [:a, :b, :c, :d, :e, :f] |
| 60 | + cols = TableTransforms._filter(:, tupcols) |
| 61 | + @test cols == [:a, :b, :c, :d, :e, :f] |
| 62 | + |
| 63 | + # throws |
| 64 | + @test_throws AssertionError TableTransforms._filter(r"x", veccols) |
| 65 | + @test_throws AssertionError TableTransforms._filter(r"x", tupcols) |
| 66 | + @test_throws AssertionError TableTransforms._filter(String[], veccols) |
| 67 | + @test_throws AssertionError TableTransforms._filter(String[], tupcols) |
| 68 | + @test_throws AssertionError TableTransforms._filter(Symbol[], veccols) |
| 69 | + @test_throws AssertionError TableTransforms._filter(Symbol[], tupcols) |
| 70 | + |
| 71 | + # type stability |
| 72 | + @inferred TableTransforms._filter([:a, :b], veccols) |
| 73 | + @inferred TableTransforms._filter([:a, :b], tupcols) |
| 74 | + @inferred TableTransforms._filter((:a, :b), veccols) |
| 75 | + @inferred TableTransforms._filter((:a, :b), tupcols) |
| 76 | + @inferred TableTransforms._filter(["a", "b"], veccols) |
| 77 | + @inferred TableTransforms._filter(["a", "b"], tupcols) |
| 78 | + @inferred TableTransforms._filter(("a", "b"), veccols) |
| 79 | + @inferred TableTransforms._filter(("a", "b"), tupcols) |
| 80 | + @inferred TableTransforms._filter([1, 2], veccols) |
| 81 | + @inferred TableTransforms._filter([1, 2], tupcols) |
| 82 | + @inferred TableTransforms._filter((1, 2), veccols) |
| 83 | + @inferred TableTransforms._filter((1, 2), tupcols) |
| 84 | + @inferred TableTransforms._filter(r"[ab]", veccols) |
| 85 | + @inferred TableTransforms._filter(r"[ab]", tupcols) |
| 86 | + @inferred TableTransforms._filter(:, veccols) |
| 87 | + @inferred TableTransforms._filter(:, tupcols) |
| 88 | + end |
| 89 | + |
4 | 90 | @testset "Select" begin |
5 | 91 | a = rand(4000) |
6 | 92 | b = rand(4000) |
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