| [**WebIdentity**](https://github.com/minio/minio/blob/master/docs/sts/web-identity.md) | Let users request temporary credentials using any OpenID(OIDC) compatible web identity providers such as KeyCloak, Dex, Facebook, Google etc. |

vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape

  return request.build()
}

private fun Main.mediaType(): MediaType? {
  val mimeType =
    headers?.let {
      for (header in it) {
        val parts = header.split(':', limit = 2)
        if ("Content-Type".equals(parts[0], ignoreCase = true)) {
          return@let parts[1].trim()
        }
      }
      return@let null
    } ?: "application/x-www-form-urlencoded"

  return mimeType.toMediaTypeOrNull()
}

    const termynalActivateClass = "termy";
    let termynals = [];

    function createTermynals() {
        document
            .querySelectorAll(`.${termynalActivateClass} .highlight code`)
            .forEach(node => {
                const text = node.textContent;
                const lines = text.split("\n");
                const useLines = [];
                let buffer = [];
                function saveBuffer() {

        this.container.innerHTML = '';
        for (let line of this.lines) {
            line.style.visibility = 'visible'
        }
        this.start();
    }

    /**
     * Start the animation and rener the lines depending on their data attributes.
     */
    async start() {
        this.addFinish()
        await this._wait(this.startDelay);

        for (let line of this.lines) {

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

   * {@code throws} clause: Some such methods can in fact throw a checked exception (e.g., by
   * calling code written in Kotlin).) Typically, we want to let a {@link Throwable} from such a
   * method propagate untouched, just as we'd typically let it do for a non-reflective call.
   * However, we can't usually write {@code throw t;} when {@code t} has a static type of {@link

   * {@code throws} clause: Some such methods can in fact throw a checked exception (e.g., by
   * calling code written in Kotlin).) Typically, we want to let a {@link Throwable} from such a
   * method propagate untouched, just as we'd typically let it do for a non-reflective call.
   * However, we can't usually write {@code throw t;} when {@code t} has a static type of {@link

 *       .where(new TypeParameter<T>() {}, elementType);
 * }
 * }
 *
 * @author Ben Yu
 * @since 12.0
 */
/*
 * A nullable bound would let users create a TypeParameter instance for a parameter with a nullable
 * bound. However, it would also let them create `new TypeParameter<@Nullable T>() {}`, which
 * wouldn't behave as users might expect. Additionally, it's not clear how the TypeToken API could

   * {@code throws} clause: Some such methods can in fact throw a checked exception (e.g., by
   * calling code written in Kotlin).) Typically, we want to let a {@link Throwable} from such a
   * method propagate untouched, just as we'd typically let it do for a non-reflective call.
   * However, we can't usually write {@code throw t;} when {@code t} has a static type of {@link