update arraymancer dependency, remove toHashSet

datamancer.nimble

@@ -11,7 +11,7 @@ srcDir        = "src"
 
 requires "nim >= 1.2.0"
 requires "https://github.com/Vindaar/seqmath >= 0.2.1"
-requires "arraymancer >= 0.7.28"
+requires "arraymancer >= 0.7.30"
 
 task test, "Run standard tests":
   exec "nim c -r tests/testDf.nim"

src/datamancer/dataframe.nim

@@ -788,7 +788,7 @@
     doAssert df.len == 3
     doAssert df["x", int] == [1, 3, 5].toTensor
     doAssert df["y", int] == [2, 5, 10].toTensor
   {.warning: "Using `add` to add rows to a DF individually is very slow. Be " &
     "sure to only add very few rows using this proc!".}
   if args.tupleLen != df.ncols and df.ncols != 0:
     raise newException(ValueError, "Input tuple `args` length must be equal " &
@@ -2003,11 +2003,6 @@
     for i in 2 ..< dfs.len:
       result = result.innerJoin(dfs[i], by)
 
-proc toHashSet*[T](t: Tensor[T]): HashSet[T] =
-  ## Internal helper to convert a tensor to a `HashSet`
-  for el in t:
-    result.incl el
-
 proc group_by*[C: ColumnLike](df: DataTable[C], by: varargs[string], add = false): auto =
   ## Returns a grouped data frame grouped by all unique keys in `by`.
   ##