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20 | 20 | @test showtable(nttable) isa WebIO.Scope
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21 | 21 | end
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22 | 22 | @testset "inf, nan, and missing serializing" begin
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23 |
| - rows = Tables.table([NaN Inf -Inf 0 missing]) |
24 | 23 | names = [:a, :b, :c, :d, :e]
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| 24 | + rows = Tables.table([NaN Inf -Inf 0 missing]; header=names) |
25 | 25 | types = vcat([Float64 for _ in 1:4], [Missing])
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26 | 26 | Base.show(io::IO, x::Missing) = print(io, "test_missing")
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27 |
| - json = TableView.table2json(Tables.Schema(names, types), rows, types) |
| 27 | + schema = Tables.Schema(names, types) |
| 28 | + json = TableView.table2json(schema, Tables.rows(rows), types) |
28 | 29 | firstrow = JSON.parse(json)[1]
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29 | 30 | @test firstrow["a"] == "NaN"
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30 | 31 | @test firstrow["b"] == "Inf"
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33 | 34 | @test firstrow["e"] == "test_missing"
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34 | 35 | end
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35 | 36 | @testset "large integers" begin
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36 |
| - rows = Tables.table([2^52 2^53 2^54]) |
37 | 37 | names = [:a, :b, :c]
|
| 38 | + rows = Tables.table([2^52 2^53 2^54]; header=names) |
38 | 39 | types = [Int64 for _ in 1:3]
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39 |
| - json = TableView.table2json(Tables.Schema(names, types), rows, types) |
| 40 | + schema = Tables.Schema(names, types) |
| 41 | + json = TableView.table2json(schema, Tables.rows(rows), types) |
40 | 42 | firstrow = JSON.parse(json)[1]
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41 | 43 | @test firstrow["a"] == 4503599627370496
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42 | 44 | @test firstrow["b"] == "9007199254740992"
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43 | 45 | @test firstrow["c"] == "18014398509481984"
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44 | 46 | end
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45 | 47 | @testset "large floats" begin
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46 |
| - rows = Tables.table([1.0e50 1.0e100]) |
47 | 48 | names = [:a, :b]
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| 49 | + rows = Tables.table([1.0e50 1.0e100]; header=names) |
48 | 50 | types = [Float64, Float64]
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49 |
| - json = TableView.table2json(Tables.Schema(names, types), rows, types) |
| 51 | + schema = Tables.Schema(names, types) |
| 52 | + json = TableView.table2json(schema, Tables.rows(rows), types) |
50 | 53 | firstrow = JSON.parse(json)[1]
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51 | 54 | @test firstrow["a"] == "1.0e50"
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52 | 55 | @test firstrow["b"] == "1.0e100"
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