Fixes for 0.6 (#235)

* Updates for Julia 0.6

Rewrite broadcast as generated function to avoid world age problems.
Use some of the broadcast functionality in Base.

Update getindex and setindex to Base changes. Use generated functions
instead of @nsplat. Use some of the Base machinery for getindex

Fix many syntax deprecations

* Remove Compat code

* Fix broadcast warnings and remove unused operator groups form operators.jl

* Use iteration instead of indexing into indices in setindex to avoid
deprecation warning

* Adjust CI

* Reenable precompilation

Add SpecialFunctions as dependency

Use new type keywords

* Use @inline instead of @generate when possible

* Now, erf, erfc, and digamma are in SpecialFunctions instead of Base

* Intialize arrays with all NAs. Flip bits _unsafe_getindex.

* Define linearindexing for Type{T} instead of T

* Update ! -> .! and remove commented out tests

* Reenable Compat. Necessary for old @nsplat and @ngenerate macros

* Make broadcast work for scalar Strings

* Update syntax for indexing traits

.travis.yml

@@ -1,7 +1,6 @@
 language: julia
 julia:
-  - 0.4
-  - 0.5
+  # - 0.6
   - nightly
 os:
   - linux

REQUIRE

@@ -1,4 +1,5 @@
-julia 0.4
-StatsBase 0.3
+julia 0.6-
 Compat 0.8.6
+StatsBase 0.3
 Reexport
+SpecialFunctions

appveyor.yml

@@ -1,9 +1,7 @@
 environment:
   matrix:
-  - JULIAVERSION: "julialang/bin/winnt/x86/0.4/julia-0.4-latest-win32.exe"
-  - JULIAVERSION: "julialang/bin/winnt/x64/0.4/julia-0.4-latest-win64.exe"
-  - JULIAVERSION: "julialang/bin/winnt/x86/0.5/julia-0.5-latest-win32.exe"
-  - JULIAVERSION: "julialang/bin/winnt/x64/0.5/julia-0.5-latest-win64.exe"
+  # - JULIAVERSION: "julialang/bin/winnt/x86/0.6/julia-0.6-latest-win32.exe"
+  # - JULIAVERSION: "julialang/bin/winnt/x64/0.6/julia-0.6-latest-win64.exe"
   - JULIAVERSION: "julianightlies/bin/winnt/x86/julia-latest-win32.exe"
   - JULIAVERSION: "julianightlies/bin/winnt/x64/julia-latest-win64.exe"
 

src/DataArrays.jl

@@ -1,14 +1,14 @@
 __precompile__()
 
 module DataArrays
+    using Base: promote_op
     using Base.Cartesian, Compat, Reexport
-    import Compat.String
     @reexport using StatsBase
+    using SpecialFunctions
 
     const DEFAULT_POOLED_REF_TYPE = UInt32
 
-    import Base: ==, !=, >, <, >=, <=, +, -, *, !, &, |, $, ^, /,
-      .==, .!=, .>, .<, .>=, .<=, .+, .-, .*, .%, ./, .\, .^
+    import Base: ==, !=, >, <, >=, <=, +, -, *, !, &, |, $, ^, /
 
     import StatsBase: autocor, inverse_rle, rle
 
@@ -80,10 +80,4 @@ module DataArrays
     include("predicates.jl")
     include("literals.jl")
     include("deprecated.jl")
-
-    Base.@deprecate removeNA dropna
-    Base.@deprecate each_failNA each_failna
-    Base.@deprecate each_replaceNA each_replacena
-    Base.@deprecate set_levels setlevels
-    Base.@deprecate set_levels! setlevels!
 end

src/abstractdataarray.jl

@@ -2,17 +2,17 @@
 #'
 #' An AbstractDataArray is an Array whose entries can take on
 #' values of type `T` or the value `NA`.
-abstract AbstractDataArray{T, N} <: AbstractArray{T, N}
+abstract type AbstractDataArray{T, N} <: AbstractArray{T, N} end
 
 #' @description
 #'
 #' An AbstractDataVector is an AbstractDataArray of order 1.
-typealias AbstractDataVector{T} AbstractDataArray{T, 1}
+const AbstractDataVector{T} = AbstractDataArray{T, 1}
 
 #' @description
 #'
 #' An AbstractDataMatrix is an AbstractDataArray of order 2.
-typealias AbstractDataMatrix{T} AbstractDataArray{T, 2}
+const AbstractDataMatrix{T} = AbstractDataArray{T, 2}
 
 #' @description
 #' Determine the type of the elements of an AbstractDataArray.
@@ -121,7 +121,7 @@ dropna(v::AbstractVector) = copy(v) # -> AbstractVector
 # TODO: Use values()
 #       Use DataValueIterator type?
 
-type EachFailNA{T}
+struct EachFailNA{T}
     da::AbstractDataArray{T}
 end
 each_failna{T}(da::AbstractDataArray{T}) = EachFailNA(da)
@@ -136,7 +136,7 @@ function Base.next(itr::EachFailNA, ind::Integer)
     end
 end
 
-type EachDropNA{T}
+struct EachDropNA{T}
     da::AbstractDataArray{T}
 end
 each_dropna{T}(da::AbstractDataArray{T}) = EachDropNA(da)
@@ -154,7 +154,7 @@ function Base.next(itr::EachDropNA, ind::Int)
     (itr.da[ind], _next_nonna_ind(itr.da, ind))
 end
 
-type EachReplaceNA{S, T}
+struct EachReplaceNA{S, T}
     da::AbstractDataArray{S}
     replacement::T
 end