* License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 */

     * Used for compilation, execution and Javadoc among others.
     * The Java tools location is {@link StandardLocation#CLASS_PATH}.
     *
     * <h4>Context-sensitive interpretation</h4>
     * A dependency with this path type will not necessarily be placed on the class path.
     * There are two circumstances where the dependency may nevertheless be placed somewhere else:
     *
     * <ul>

        return new CurlRequest(Method.GET, url);
    }

    /**
     * Creates a new CurlRequest with the HTTP POST method for the specified URL.
     *
     * @param url the URL to which the POST request will be sent
     * @return a new CurlRequest object configured with the POST method and the specified URL
     */
    public static CurlRequest post(final String url) {
        return new CurlRequest(Method.POST, url);
    }

    /**
     * If true, the parser will be namespace aware.
     */
    protected boolean namespaceAware;

    /**
     * If true, the parser will convert CDATA nodes to Text nodes and append them to the adjacent Text node.
     */
    protected boolean coalescing;

    /**
     * If true, the parser will expand entity reference nodes.
     */

labels: [ "a:bug", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please follow the instructions below.
        We receive dozens of issues every week, so to stay productive, we will close issues that don't provide enough information.

        If you need help with Gradle or have a usage question, please reach [our community](http://help.gradle.org/) instead of creating an issue.

   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

also turn on NetworkPolicy by setting the DefaultDeny namespace annotation. Note: this will enforce policy for _all_ pods in the namespace: ``` kubectl annotate namespace default "net.beta.kubernetes.io/network-policy={\"ingress\":{\"isolation\":\"DefaultDeny\"}}" ``` With NetworkPolicy enabled, traffic will be limited to just port 9000. For more precise policy, set `networkPolicy.allowExternal=true`. This will only allow pods with the generated client label to connect to MinIO. This label will be...

   * Truncates the given character sequence to the given maximum length. If the length of the
   * sequence is greater than {@code maxLength}, the returned string will be exactly {@code
   * maxLength} chars in length and will end with the given {@code truncationIndicator}. Otherwise,
   * the sequence will be returned as a string with no changes to the content.
   *
   * <p>Examples:
   *
   * {@snippet :

   * size.
   *
   * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation;
   *     must be at least 4
   */
  protected AbstractStreamingHasher(int chunkSize) {
    this(chunkSize, chunkSize);
  }

  /**
   * Constructor for use by subclasses. This hasher instance will process chunks of the specified

			return ep, fmt.Errorf("empty or root path is not supported in URL endpoint")
		}

		// On windows having a preceding SlashSeparator will cause problems, if the
		// command line already has C:/<export-folder/ in it. Final resulting
		// path on windows might become C:/C:/ this will cause problems
		// of starting minio server properly in distributed mode on windows.
		// As a special case make sure to trim the separator.