fix tests on nightly and 32-bit

src/groupeddataframe/complextransforms.jl

@@ -269,8 +269,12 @@ function _combine_rows_with_first!((firstrow,)::Ref{Any},
     # Create up to one task per thread
     # This has lower overhead than creating one task per group,
     # but is optimal only if operations take roughly the same time for all groups
-    basesize = max(1, cld(len - 1, Threads.nthreads()))
-    partitions = Iterators.partition(2:len, basesize)
+    if isthreadsafe(outcols, incols)
+        basesize = max(1, cld(len - 1, Threads.nthreads()))
+        partitions = Iterators.partition(2:len, basesize)
+    else
+        partitions = (2:len,)
+    end
     widen_type_lock = ReentrantLock()
     outcolsref = Ref{NTuple{<:Any, AbstractVector}}(outcols)
     type_widened = fill(false, length(partitions))

test/io.jl

@@ -760,7 +760,7 @@ end
     df = DataFrame(
         A=Int64[1,4,9,16,25,36,49,64],
         B = [
-            md"[DataFrames.jl](http://juliadata.github.io/DataFrames.jl)",
+            md"ABC",
             md"``\frac{x^2}{x^2+y^2}``",
             md"`Header`",
             md"This is *very*, **very**, very, very, very, very, very, very, very long line" ,
@@ -781,7 +781,7 @@ end
          Row │ A      B
              │ Int64  MD
         ─────┼──────────────────────────────────────────
-           1 │     1    DataFrames.jl (http://juliadat…
+           1 │     1    ABC
            2 │     4    \\frac{x^2}{x^2+y^2}
            3 │     9    Header
            4 │    16    This is very, very, very, very…

test/select.jl

@@ -3039,7 +3039,7 @@ end
     @test size(combine(df, :a => (x -> Any[]) => AsTable)) == (0, 0)
     df2 = combine(df, :a => (x -> NamedTuple{(:x,),Tuple{Int64}}[]) => AsTable)
     @test size(df2) == (0, 1)
-    @test eltype(df2.x) === Int
+    @test eltype(df2.x) === Int64
 end
 
 end # module