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      </a>
    </div>
    <div class="item">

 * As such, the {@code *} character is treated as a wildcard and is used to represent any acceptable
 * type or subtype value. A media type may not have wildcard type with a declared subtype. The
 * {@code *} character has no special meaning as part of a parameter. All values for type, subtype,
 * parameter attributes or parameter values must be valid according to RFCs <a
 * href="https://tools.ietf.org/html/rfc2045">2045</a> and <a

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  Serving at: http://127.0.0.1:8000                  │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  Serving at: http://127.0.0.1:8000                  │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

            // System.out.println(resultData.toString());
        }

        long margin = 5000000L;
        System.gc();
        for (int i = 0; i < 30; i++) {
            if (MemoryUtil.getUsedMemory() < current + margin) {
                break;
            }
            System.gc();
            Thread.sleep(1000L);
        }

  // app (like the FrqUser class above), then the app's ClassLoader will never be gc'd. The reason
  // is that we attempt to run a thread in a separate ClassLoader that will detect when the FRQ
  // is no longer referenced, meaning that the app's ClassLoader has been gc'd, and when that
  // happens. But the thread's supposedly separate ClassLoader actually has a reference to the app's

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

	}

	// Remove the entire folder in case there are leftovers that didn't get cleaned up before restart.
	go removeAll(pathJoin(diskPath, minioMetaTmpBucket+"-old"))

	// Renames and schedules for purging all bucket metacache.
	go renameAllBucketMetacache(diskPath)
}

// Following error message is added to fix a regression in release
// RELEASE.2018-03-16T22-52-12Z after migrating v1 to v2 to v3. This

 link: https://www.tutlinks.com/deploy-fastapi-on-azure/ title: Deploy FastAPI on Azure App Service - author: Davide Fiocco author_link: https://github.com/davidefiocco link: https://davidefiocco.github.io/streamlit-fastapi-ml-serving/ title: Machine learning model serving in Python using FastAPI and streamlit - author: Netflix author_link: https://netflixtechblog.com/ link: https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072 title: Introducing Dispatch - author: Stavros Korokithakis author_link:...

     * @return {@code true} if the project is the top level project for this build
     */
    boolean isTopProject();

    /**
     * Returns a boolean indicating if the project is a root project,
     * meaning that the {@link #getRootDirectory()} and {@link #getBasedir()}
     * points to the same directory, and that either {@link Model#isRoot()}
     * is {@code true} or that {@code basedir} contains a {@code .mvn} child