<outputDirectory>lib/jline-native</outputDirectory>
      <includes>
        <include>**/*.so</include>
        <include>**/*.jnilib</include>
        <include>**/*.dll</include>
      </includes>
    </fileSet>
	<fileSet>
      <directory>src/assembly/maven/bin</directory>
      <outputDirectory>bin</outputDirectory>
      <includes>
        <include>mvn</include>

build:macos --cxxopt=-std=c++17
build:macos --host_cxxopt=-std=c++17
build:windows --cxxopt=/std:c++17
build:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
build:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
build:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible

        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
        (new), are missing on your machine, `import tensorflow` will print a
        warning message.
*   The `tensorflow` pip package is built with CUDA 10.1 and cuDNN 7.6.
*   `tf.keras`