# limitations under the License.
# ==============================================================================
#
# Re-direct all links in $1 that are relative to be canonical

BASE="$1"
find "${BASE}" -type l | \
  while read l ; do
    if [[ "$(readlink "$l")" == \.\./* ]]; then
      CANONICAL="$(readlink "$l")";
      rm "$l";
      ln -s "${CANONICAL}" "$l"
    fi

3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the

#!/bin/bash

cd `dirname $0`
cd ..
BASE_DIR=`pwd`
LOG_FILE=$BASE_DIR/test.log

mvn test > $LOG_FILE 2>&1
ret=$?

if [ $ret != 0 ] ; then
  for f in `find $BASE_DIR -type f | grep surefire-reports | grep -v /TEST-` ; do
    cat $f
  done
fi

tail -n1000 $LOG_FILE

        "Unable to find the enqueue node in the TF graph.");
    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::StrCat("arg_tensor_enqueue_", tensor_id).c_str());
  if (placeholder_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the placeholder node as input to enqueue in the TF "

      label: "What is the URL of the page with the issue?"
    validations:
      required: true
  - type: input
    id: user-agent
    attributes:
      label: "What is your user agent?"
      description: "You can find your user agent here: https://www.google.com/search?q=what+is+my+user+agent"
    validations:
      required: true
  - type: textarea
    id: screenshot
    attributes:
      label: "Screenshot"

</blockquote>

## Investigation { #investigation }

By using all the previous alternatives I had the chance to learn from all of them, take ideas, and combine them in the best way I could find for myself and the teams of developers I have worked with.

For example, it was clear that ideally it should be based on standard Python type hints.

Also, the best approach was to use already existing standards.

     */

    public boolean isInConflict() throws UnknownHostException {
        checkNodeStatusData();
        return isInConflict;
    }

    /**
     * Determines if this address is active.
     *
     * @return true if the address is active, false otherwise
     * @throws UnknownHostException if the host cannot be resolved to find out.
     */

# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.

eval `{go tool dist env -9}

if(! test -x $GOTOOLDIR/dist){
	echo 'cannot find $GOTOOLDIR/dist; nothing to clean' >[1=2]
	exit noclean
}

$GOBIN/go clean -i std
$GOBIN/go tool dist clean

      var minDelayNanos = Long.MAX_VALUE
      var readyTask: Task? = null
      var multipleReadyTasks = false

      // Decide what to run. This loop's goal wants to:
      //  * Find out what this thread should do (either run a task or sleep)
      //  * Find out if there's enough work to start another thread.
      eachQueue@ for (queue in readyQueues) {
        val candidate = queue.futureTasks[0]

  $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"

# These variables may be useful, but so far haven't been. Keeping for posterity.