Fix 0.6 typealias depwarn (#363)

Author: yuyichao

REQUIRE

@@ -1,4 +1,4 @@
 julia 0.4
-Compat 0.17.0
+Compat 0.18.0
 Conda 0.2
 MacroTools 0.2

src/PyCall.jl

@@ -52,7 +52,7 @@ immutable PyObject_struct
     ob_type::Ptr{Void}
 end
 
-typealias PyPtr Ptr{PyObject_struct} # type for PythonObject* in ccall
+const PyPtr = Ptr{PyObject_struct} # type for PythonObject* in ccall
 
 const PyPtr_NULL = PyPtr(C_NULL)
 
@@ -165,7 +165,7 @@ PyObject(o::PyPtr, keep::Any) = pyembed(PyObject(o), keep)
 
 #########################################################################
 
-typealias TypeTuple{N} Union{Type,NTuple{N, Type}}
+@compat TypeTuple{N} = Union{Type,NTuple{N, Type}}
 include("pybuffer.jl")
 include("conversions.jl")
 include("pytype.jl")

src/conversions.jl

@@ -137,7 +137,7 @@ pyptr_query(po::PyObject) = pyisinstance(po, c_void_p_Type) || pyisinstance(po,
 
 # I want to use a union, but this seems to confuse Julia's method
 # dispatch for the convert function in some circumstances
-# typealias PyAny Union{PyObject, Int, Bool, Float64, Complex128, AbstractString, Function, Dict, Tuple, Array}
+# const PyAny = Union{PyObject, Int, Bool, Float64, Complex128, AbstractString, Function, Dict, Tuple, Array}
 @compat abstract type PyAny end
 
 function pyany_toany(T::Type)

src/numpy.jl

@@ -162,7 +162,7 @@ npy_type(::Type{Complex64}) = NPY_CFLOAT
 npy_type(::Type{Complex128}) = NPY_CDOUBLE
 npy_type(::Type{PyPtr}) = NPY_OBJECT
 
-typealias NPY_TYPES Union{Bool,Int8,UInt8,Int16,UInt16,Int32,UInt32,Int64,UInt64,Float16,Float32,Float64,Complex64,Complex128,PyPtr}
+const NPY_TYPES = Union{Bool,Int8,UInt8,Int16,UInt16,Int32,UInt32,Int64,UInt64,Float16,Float32,Float64,Complex64,Complex128,PyPtr}
 
 # conversions from __array_interface__ type strings to supported Julia types
 const npy_typestrs = Dict( "b1"=>Bool,