* {@link ValueGraph}, and {@link Network}):
 *
 * <pre>{@code
 * someGraphAlgorithm(startNode, graph);
 * }</pre>
 *
 * This works because those types each implement {@code PredecessorsFunction}. It will also work
 * with any other implementation of this interface.
 *
 * <p>If you have your own graph implementation based around a custom node type {@code MyNode},

</div>

////

That means that the `python` program that will be used is the one **in the virtual environment**.

you use `which` in Linux and macOS and `Get-Command` in Windows PowerShell.

The way that command works is that it will go and check in the `PATH` environment variable, going through **each path in order**, looking for the program called `python`. Once it finds it, it will **show you the path** to that program.

      byte[] got = out.toByteArray();
      for (int i = 0; i < expected.length; i++) {
        assertEquals(expected[i], got[i]);
      }
    }
  }

  // Assumes that AbstractNonStreamingHashFunction works properly (must be tested elsewhere!)
  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {

  [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"

# These variables may be useful, but so far haven't been. Keeping for posterity.
# ENV CLANG_COMPILER_PATH "C:\tools\llvm\bin\clang.exe"

          java-version: 17
      - id: determine-sys-prop-args
        uses: actions/github-script@v7
        with:
          script: |
            if (context.payload.pull_request && context.payload.pull_request.head.repo.fork) {
                core.setOutput('sys-prop-args', '-DagreePublicBuildScanTermOfService=yes -DcacheNode=us --scan')
            } else {
                core.setOutput('sys-prop-args', '-DcacheNode=us')
            }

### Existing object replication

A major advantage of certificate-based authentication compared to other STS authentication methods, like OpenID Connect or LDAP/AD, is that client authentication works without any additional/external component that must be constantly available. Therefore, certificate-based authentication may provide better availability / lower operational complexity.

_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

        forking Guava yourself.


        We want to see that new features have some significant advantage over the alternatives.
        These advantages can take
        [many forms](https://github.com/google/guava/wiki/PhilosophyExplained#utility), but taking
        the time to discuss them in detail will make it much clearer why this feature should be
        added to Guava.

    echo "   --prop val     set fess property (i.e. -Des.<prop>=<val>)"
}

# Parse any long getopt options and put them into properties before calling getopt below
# Be dash compatible to make sure running under ubuntu works
ARGV=""
while [ $# -gt 0 ]
do
    case $1 in
      --help) ARGV="$ARGV -h"; shift;;
      --*=*) properties="$properties -Dfess.${1#--}"
           shift 1
           ;;
      --*) [ $# -le 1 ] && {