match TF Core/C++; i.e., a contiguous array of
        `tensorflow::tstring`/`TF_TString`s.
    *   C-API functions `TF_StringDecode`, `TF_StringEncode`, and
        `TF_StringEncodedSize` are no longer relevant and have been removed; see
        `core/platform/ctstring.h` for string access/modification in C.
    *   `tensorflow.python`, `tensorflow.core` and `tensorflow.compiler` modules

    </dependency>

    <!-- CLI -->
    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>jcl-over-slf4j</artifactId>
      <version>${slf4jVersion}</version>
      <scope>runtime</scope>
    </dependency>
    <dependency>
      <groupId>org.apache.maven.resolver</groupId>
      <artifactId>maven-resolver-connector-basic</artifactId>
    </dependency>
    <dependency>

    </pluginRepository>
  </pluginRepositories>
  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.13.1</version>
      <scope>test</scope>
    </dependency>
  </dependencies>
  <dependencyManagement>
    <dependencies>
      <dependency>
        <groupId>org.codehaus.plexus</groupId>
        <artifactId>plexus-container-default</artifactId>

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

/// danger

Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

    }

    // TODO let the scope handler deal with this
    private static boolean isCompilePathElement(final String scope) {
        return Artifact.SCOPE_COMPILE.equals(scope)
                || Artifact.SCOPE_PROVIDED.equals(scope)
                || Artifact.SCOPE_SYSTEM.equals(scope);
    }

    // TODO let the scope handler deal with this

  integrity sha512-RG8AStHlUiV5ysZQKq97copd2UmVYw3/pRMLefISZ3S1hK104Cwm7iLQ3fTKx+lsUH2CE8FlLaYeEA2LSeqYUA==
  dependencies:
    "@types/node" "*"

"@types/eslint-scope@^3.7.3":
  version "3.7.4"
  resolved "https://registry.yarnpkg.com/@types/eslint-scope/-/eslint-scope-3.7.4.tgz#37fc1223f0786c39627068a12e94d6e6fc61de16"
  integrity sha512-9K4zoImiZc3HlIp6AVUDE4CWYx22a+lhSZMYNpbjW04+YF0KWj4pJXnEMjdnFTiQibFFmElcsasJXDbdI/EPhA==
  dependencies:

be used outside the application of a plugin, so following best practices is relatively straightforward.  For core plugins in gradle/gradle, it's easy for an object to be created without applying its associated plugin. For instance, Spring has a plugin that uses the Checkstyle task directly without applying the Checkstyle plugin.

Until we can provide the same guarantees for core plugins, we need to be more conservative for existing classes and not follow best practices. This means conventions...

 * specific language governing permissions and limitations
 * under the License.
 */

/**
 * <h2>Maven Core API</h2>
 *
 * <h3>Session</h3>
 *
 * <p>The {@link org.apache.maven.api.Session} interface is the main entry point for Maven operations.
 * It maintains the state of a Maven execution and provides access to all core services and components.
 * Sessions are thread-safe and can be obtained in session-scoped components using the

import org.apache.maven.execution.MavenExecutionResult;
import org.apache.maven.execution.ProfileActivation;
import org.apache.maven.execution.ProjectActivation;
import org.apache.maven.execution.scope.internal.MojoExecutionScope;
import org.apache.maven.execution.scope.internal.MojoExecutionScopeModule;
import org.apache.maven.extension.internal.CoreExports;
import org.apache.maven.extension.internal.CoreExtensionEntry;

#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/partial_tensor_shape.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/graph/tensor_id.h"
#include "tensorflow/core/lib/core/status_test_util.h"