[Environment]::SetEnvironmentVariable(\"PATH\", $env:PATH, \"Machine\"); \
  $env:JAVA_HOME = $zulu_root; \
  [Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $env:JAVA_HOME, \"Machine\")

# Point to the LLVM installation.
# The Bazel Windows guide claims it can find LLVM automatically,
# but it likely only works if it's installed somewhere inside C:\Program Files.
ENV BAZEL_LLVM "C:\tools\LLVM"

    MavenExecutionRequest setGlobalToolchainsFile(File globalToolchainsFile);

    /**
     *
     *
     * @return the installation toolchains file
     * @since 4.0.0
     */
    File getInstallationToolchainsFile();

    /**
     *
     * @param installationToolchainsFile the installation toolchains file
     * @return this request
     * @since 4.0.0
     */

 {{{http://www.slf4j.org/manual.html#swapping}"SLF4J bindings"}}.

 Logging configuration loading is actually done by logging implementation, without any Maven extensions to support merging
 Maven installation configuration with per-user configuration for example:
 <<<$\{maven.conf}/logging>>> directory was added to core's classpath (see <<<$\{maven.home}/bin/m2.conf>>>). See your implementation

The following commands show how to use the zip download:

    $ unzip fess-14.17.x.zip
    $ cd fess-14.17.x
    $ ./bin/fess

For more details, see the [Installation Guide](https://fess.codelibs.org/14.17/install/index.html).

### Docker

# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,
# because "import tensorflow" run from the root directory would instead import

  JAVA_VERSION("java.version"),

  /** Java Runtime Environment vendor. */
  JAVA_VENDOR("java.vendor"),

  /** Java vendor URL. */
  JAVA_VENDOR_URL("java.vendor.url"),

  /** Java installation directory. */
  JAVA_HOME("java.home"),

  /** Java Virtual Machine specification version. */
  JAVA_VM_SPECIFICATION_VERSION("java.vm.specification.version"),

  /** Java Virtual Machine specification vendor. */

                .hasArg()
                .build());
        options.addOption(Option.builder(ALTERNATE_INSTALLATION_SETTINGS)
                .longOpt("install-settings")
                .desc("Alternate path for the installation settings file")
                .hasArg()
                .build());
        options.addOption(Option.builder(Character.toString(ALTERNATE_USER_TOOLCHAINS))
                .longOpt("toolchains")

    "path": "platforms/core-configuration/input-tracking",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "installation-beacon",
    "path": "platforms/core-runtime/installation-beacon",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "instrumentation-agent",

# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi

# Get sitepackages directories for the python installation.
_site_packages_dirs = []
if _site.ENABLE_USER_SITE and _site.USER_SITE is not None:
  _site_packages_dirs += [_site.USER_SITE]
_site_packages_dirs += [p for p in _sys.path if "site-packages" in p]

You can read more about it in the <a href="https://pyjwt.readthedocs.io/en/latest/installation.html" class="external-link" target="_blank">PyJWT Installation docs</a>.

///

## Password hashing

"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.