Adopt Blue Style (#122)

Author: nickrobinson251

README.md

@@ -5,6 +5,7 @@
 [![Travis](https://travis-ci.org/JuliaDiff/ChainRulesCore.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/ChainRulesCore.jl)
 [![Coveralls](https://coveralls.io/repos/github/JuliaDiff/ChainRulesCore.jl/badge.svg?branch=master)](https://coveralls.io/github/JuliaDiff/ChainRulesCore.jl?branch=master)
 [![PkgEval](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/C/ChainRulesCore.svg)](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/report.html)
+[![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)
 
 **Docs:**
 [![](https://img.shields.io/badge/docs-master-blue.svg)](https://JuliaDiff.github.io/ChainRulesCore.jl/dev)
@@ -15,5 +16,3 @@ The ChainRulesCore package provides a light-weight dependency for defining sensi
 This will allow your package to be used with [ChainRules.jl](https://github.com/JuliaDiff/ChainRules.jl), which aims to provide a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.
 
 This package is a work in progress; the framework is essentially there, but there are a bunch of TODOs, virtually no tests, etc. PRs welcome! The API is mostly documented, which should help if you'd like to contribute.
-
-The ChainRulesCore source code follows the [YASGuide](https://github.com/jrevels/YASGuide).

test/rules.jl

@@ -53,6 +53,6 @@ _second(t) = Base.tuple_type_head(Base.tuple_type_tail(t))
 
     sx = @SVector [1, 2]
     sy = @SVector [3, 4]
-    # This actually is testing that @scalar_rule and `One()` play nice together, w.r.t broadcasting
+    # This is testing that @scalar_rule and `One()` play nice together, w.r.t broadcasting
     @inferred frule(very_nice, 1, 2, Zero(), sx, sy)
 end

test/runtests.jl

@@ -1,9 +1,7 @@
-# TODO: more tests!
-using Test
+using Base.Broadcast: broadcastable
 using ChainRulesCore
 using LinearAlgebra: Diagonal
-using ChainRulesCore: extern, Composite, @scalar_rule, Zero, One, DoesNotExist, Thunk
-using Base.Broadcast: broadcastable
+using Test
 
 @testset "ChainRulesCore" begin
     @testset "differentials" begin