Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized

 */
package org.apache.maven;

import java.io.File;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

/**
 * Signals a collision of two or more projects with the same g:a:v during a reactor build.
 *
 */
public class DuplicateProjectException extends MavenExecutionException {

    private Map<String, List<File>> collisions;

    /**
     * Creates a new exception with specified details.

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The main logic with ADRs is to describe (architectural) decisions made:

* To provide best practices and solutions we (as the *build tool* team) want to promote.
* To avoid asking the same thing multiple times during code review.
* To explain *rejected solutions*, for now, and future development, in case they are proposed again.

ADRs can be written by any team.
Like code, they should be reviewed by any other relevant teams.

                    type.getPathTypes().contains(JavaPathType.CLASSES));
            // TODO: watch out for module path
        });

        // Note: here, type decides is artifact added to "build path" (for example during resolution)
        // and "build path" is intermediate data that is used to create actual Java classpath/modulepath
        // but to create those, proper filtering should happen via Type properties.
    }

    @Override

   * response code like 404 or 500.
   *
   * @throws IOException if the request could not be executed due to cancellation, a connectivity
   *     problem or timeout. Because networks can fail during an exchange, it is possible that the
   *     remote server accepted the request before the failure.
   * @throws IllegalStateException when the call has already been executed.
   */
  @Throws(IOException::class)

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.settings.building;

/**
 * Describes a problem that was encountered during settings building. A problem can either be an exception that was
 * thrown or a simple string message. In addition, a problem carries a hint about its source, e.g. the settings file
 * that exhibits the problem.
 *

      } else {
        collectValueFromNonCancelledFuture(index, future);
      }
    } finally {
      /*
       * "null" means: There is no need to access `futures` again during
       * `processCompleted` because we're reading each value during a call to
       * handleOneInputDone.
       */
      decrementCountAndMaybeComplete(null);
    }
  }

  /**

## Settings in a dependency

In some occasions it might be useful to provide the settings from a dependency, instead of having a global object with `settings` that is used everywhere.

This could be especially useful during testing, as it's very easy to override a dependency with your own custom settings.

### The config file

Coming from the previous example, your `config.py` file could look like:

```Python hl_lines="10"

 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Nonnull;

/**
 * Describes a problem that was encountered during model building. A problem can either be an exception that was thrown
 * or a simple string message. In addition, a problem carries a hint about its source, e.g. the POM file that exhibits
 * the problem.
 *
 */