Add Codecov badge

Author: andreasnoack

README.md

@@ -1,6 +1,7 @@
 # FiniteDiff
 
 [![Build Status](https://travis-ci.org/JuliaDiff/FiniteDiff.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/FiniteDiff.jl)
+[![codecov](https://codecov.io/gh/JuliaDiff/FiniteDiff.jl/branch/master/graph/badge.svg?token=PnBAscoOiU)](https://codecov.io/gh/JuliaDiff/FiniteDiff.jl)
 
 This package is for calculating derivatives, gradients, Jacobians, Hessians,
 etc. numerically. This library is for maximizing speed while giving a usable

test/out_of_place_tests.jl

@@ -34,7 +34,7 @@ J = FiniteDiff.finite_difference_jacobian(f, x, Val{:forward}, eltype(x),
 @test J ≈ second_derivative_stencil(30)
 @test typeof(J) == typeof(spJ)
 
-f = x -> x
+f(x) = x
 @testset "1x1 test of $x" for
   (x, y) in ((SVector{1}([1.]), SMatrix{1,1}), ([1.0], Matrix)),
     difftype in (:forward, :central, :complex)