*   Using welcoming and inclusive language.
*   Being respectful of differing viewpoints and experiences.
*   Gracefully accepting constructive criticism.
*   Focusing on what is best for the community.
*   Showing empathy towards other community members.

Examples of unacceptable behavior by participants include:

window.addEventListener("load", function () {
  addLinks();
  console.log("hacking gopher pop-up loaded.");
  document.getElementById("inputbox").focus();
});

window.addEventListener("submit", function () {
  console.log("submitting form");
  var box = document.getElementById("inputbox");
  box.focus();

  var t = box.value;
  if (t == "") {
    return false;
  }

  var success = function(url) {

    a documentation issue (for small doc fixes please send a PR instead).
1.  Make sure the Issue Template is filled out.
1.  The issue should be related to the repo it is created in.

**Here's why we have this policy:** We want to focus on the work that benefits
the whole community, e.g., fixing bugs and adding features. Individual support
should be sought on Stack Overflow or other non-GitHub channels. It helps us to

 * Provides a common structure for handling delays at different stages of the crawling process.
 * It encapsulates the delay logic and exception handling, allowing subclasses to focus on
 * defining the specific delay behavior for each stage.
 *
 * <p>
 * This class defines the contract for delaying the crawling process at various points, such as:
 * </p>
 * <ul>

whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow...