LIB_PKG="$DIR/lib_package"
  mkdir -p ${LIB_PKG}

  # Zip up the .dll and the LICENSE for the JNI library.
  cp bazel-bin/tensorflow/java/tensorflow_jni.dll ${LIB_PKG}/tensorflow_jni.dll
  libtensorflow_jni_zip="libtensorflow_jni${TARBALL_SUFFIX}.zip"
  zip -j "$libtensorflow_jni_zip" \
    ${LIB_PKG}/tensorflow_jni.dll \
    bazel-bin/tensorflow/tools/lib_package/include/tensorflow/THIRD_PARTY_TF_JNI_LICENSES \
    LICENSE

rem Check JVM server dll first
if exist "%JAVA_HOME%"\jre\bin\server\jvm.dll (
	set JVM_DLL=\jre\bin\server\jvm.dll
	goto foundJVM
)

rem Check 'server' JRE (JRE installed on Windows Server)
if exist "%JAVA_HOME%"\bin\server\jvm.dll (
	set JVM_DLL=\bin\server\jvm.dll
	goto foundJVM
)

rem Fallback to 'client' JRE
if exist "%JAVA_HOME%"\bin\client\jvm.dll (
	set JVM_DLL=\bin\client\jvm.dll

)

# The interface library (tensorflow.dll.if.lib) for linking tensorflow DLL library (tensorflow.dll) on Windows.
# To learn more about import library (called interface library in Bazel):
#     https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
filegroup(
    name = "get_tensorflow_dll_import_lib",
    srcs = ["//tensorflow:tensorflow.dll"],
    output_group = "interface_library",

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template

      <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>

package disk

import (
	"errors"
	"fmt"
	"os"
	"syscall"
	"unsafe"

	"golang.org/x/sys/windows"
)

var (
	kernel32 = windows.NewLazySystemDLL("kernel32.dll")

	// GetDiskFreeSpaceEx - https://msdn.microsoft.com/en-us/library/windows/desktop/aa364937(v=vs.85).aspx
	// Retrieves information about the amount of space that is available on a disk volume,

package lock

import (
	"fmt"
	"os"
	"path/filepath"
	"syscall"
	"unsafe"

	"golang.org/x/sys/windows"
)

var (
	modkernel32    = windows.NewLazySystemDLL("kernel32.dll")
	procLockFileEx = modkernel32.NewProc("LockFileEx")
)

const (
	// https://msdn.microsoft.com/en-us/library/windows/desktop/aa365203(v=vs.85).aspx
	lockFileExclusiveLock   = 2
	lockFileFailImmediately = 1

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

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

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

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

pkg syscall (windows-386), func WriteFile(Handle, []uint8, *uint32, *Overlapped) error
pkg syscall (windows-386), method (*DLL) FindProc(string) (*Proc, error)
pkg syscall (windows-386), method (*DLL) MustFindProc(string) *Proc
pkg syscall (windows-386), method (*DLL) Release() error
pkg syscall (windows-386), method (*DLLError) Error() string
pkg syscall (windows-386), method (*Filetime) Nanoseconds() int64

        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`