}),
    tags = [
        "no_cuda_asan",  # TODO(b/181771536)
        "no_windows",  # TODO(b/155444728)
    ],
    # We must ensure that the dependencies can be dynamically linked since
    # the shared library must be able to use core:framework.
    deps = [
        ":c_api",
        ":c_api_internal",
        ":c_test_util",
        ":test_op_kernel",
        ":tf_buffer",
        ":tf_buffer_internal",

import org.apache.maven.api.model.Model;

/**
 * Interface for model transformers that can modify Maven project models at different stages of processing.
 * <p>
 * Model transformers allow plugins and extensions to modify the POM model during the build process.
 * Transformations can be applied at three different stages:
 * <ol>
 *   <li>File model - The raw model as read directly from the file</li>

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor...

        assertNotEquals(a, c);

        // Same subject instance -> equal
        Subject shared = new Subject();
        Kerb5Authenticator d1 = new Kerb5Authenticator(shared);
        Kerb5Authenticator d2 = new Kerb5Authenticator(shared);
        assertEquals(d1, d2);

        // Different type -> false
        assertFalse(a.equals("not-an-auth"));
    }

    @Test

      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of

                "%linux.java25.openjdk.64bit%",
            )
        val expectedInstallationPaths = linuxPaths.joinToString(",")
        val gradleStep = CompileAll(buildModel, buildModel.stages[0]).steps.getGradleStep(GRADLE_RUNNER_STEP_NAME)
        assertEquals(
            listOf(
                "-Dorg.gradle.workers.max=%maxParallelForks%",
                "-PmaxParallelForks=%maxParallelForks%",

   * the internal list.
   */
  @JvmStatic
  fun fragmentBuffer(buffer: Buffer): Buffer {
    // Write each byte into a new buffer, then clone it so that the segments are shared.
    // Shared segments cannot be compacted so we'll get a long chain of short segments.
    val result = Buffer()
    while (!buffer.exhausted()) {
      val box = Buffer()
      box.write(buffer, 1)

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

        val result = mutableMapOf<TestCoverage, List<SmallSubprojectBucket>>()
        for (stage in model.stages) {
            for (testCoverage in stage.functionalTests) {
                if (testCoverage.testType !in
                    listOf(TestType.ALL_VERSIONS_CROSS_VERSION, TestType.QUICK_FEEDBACK_CROSS_VERSION, TestType.SOAK)
                ) {

        }
    }

    /**
     * Starts a new process with the given session ID and command list.
     * Uses default buffer size and no output callback.
     *
     * @param sessionId unique identifier for the process session
     * @param cmdList list of command and arguments to execute
     * @param pbCall callback to configure the ProcessBuilder
     * @return JobProcess representing the started process
     */