Remove forgotten lines and add coverage badge

Author: Crown421

.github/workflows/nightly.yml

@@ -41,34 +41,3 @@ jobs:
             ${{ runner.os }}-
       - uses: julia-actions/julia-buildpkg@latest
       - uses: julia-actions/julia-runtest@latest
-
-  # testAptMKL:
-  #   name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }}
-  #   runs-on: ${{ matrix.os }}
-  #   strategy:
-  #     matrix:
-  #       version:
-  #         - 'nightly'
-  #       os:
-  #         - ubuntu-latest
-  #       arch:
-  #         - x64
-  #   env:
-  #       LD_LIBRARY_PATH: /opt/intel/compilers_and_libraries_2019.4.243/linux/mkl/lib/intel64_lin/
-  #   steps:
-  #     - name: Install MKL via apt
-  #       run: |
-  #         curl https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB > GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
-  #         sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
-  #         rm GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
-  #         sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list'
-  #         sudo apt-get update
-  #         sudo apt-get install -y intel-mkl-64bit-2019.4-070
-  #         source /opt/intel/mkl/bin/mklvars.sh intel64
-  #     - uses: actions/checkout@v2
-  #     - uses: julia-actions/setup-julia@latest
-  #       with:
-  #         version: ${{ matrix.version }}
-  #         arch: ${{ matrix.arch }}
-  #     - uses: julia-actions/julia-buildpkg@latest
-  #     - uses: julia-actions/julia-runtest@latest

README.md

@@ -4,8 +4,9 @@
 [pkgeval-url]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/report.html
 
 [![PkgEval][pkgeval-img]][pkgeval-url]
-![](https://github.com/JuliaMath/VML.jl/workflows/julia%201.6/badge.svg)
+![](https://github.com/JuliaMath/VML.jl/workflows/julia%201.6+1.8/badge.svg)
 ![](https://github.com/JuliaMath/VML.jl/workflows/julia%20nightly/badge.svg)
+[![Coverage Status](https://coveralls.io/repos/github/JuliaMath/IntelVectorMath.jl/badge.svg?branch=master)](https://coveralls.io/github/JuliaMath/IntelVectorMath.jl?branch=master)
 
 This package provides bindings to the Intel MKL [Vector Mathematics Functions](https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/vector-mathematical-functions.html).
 This is often substantially faster than broadcasting Julia's built-in functions, especially when applying a transcendental function over a large array.