</codeSegments>
    </class>
    <!-- /BuildProfile support -->
    <class locationTracker="locations">
      <name>InputLocation</name>
      <version>1.2.0+</version>
      <fields>
        <!-- line, column and source fields are auto-generated by Modello -->
      </fields>
      <codeSegments>
        <codeSegment>
          <version>1.2.0+</version>
          <code>

    @Override

		`
	var err error
	dir := t.TempDir()

	mountsPath := filepath.Join(dir, "mounts")
	if err = os.WriteFile(mountsPath, []byte(successCase), 0o666); err != nil {
		t.Fatal(err)
	}
	// Verifies if reading each line worked properly.
	{
		var mounts mountInfos
		mounts, err = readProcMounts(mountsPath)
		if err != nil {
			t.Fatal(err)
		}
		if len(mounts) != 3 {
			t.Fatalf("expected 3 mounts, got %d", len(mounts))

   * The caller is responsible for <a
   * href="https://html.spec.whatwg.org/multipage/form-control-infrastructure.html#multipart-form-data">replacing
   * any unpaired carriage return or line feed characters with a CR+LF pair</a> on any non-file
   * inputs before escaping them with this escaper.
   *
   * <p>When escaping a String, the following rules apply:
   *
   * <ul>

            assertEquals(
                    "1 problem was encountered while building the effective toolchains" + LS
                            + "[FATAL] Non-parseable toolchains (memory): MESSAGE @ line 4, column 2" + LS,
                    e.getMessage());
        }
    }

    @Test
    void testIOException() throws Exception {
        Source src = mock(Source.class);

    *   Stop constructing `Status` objects from `tensorflow::error::Code`.
    *   One MUST NOT access `tensorflow::errors::Code` fields. Accessing
        `tensorflow::error::Code` fields is fine.
        *   Use the constructors such as `tensorflow::errors:InvalidArgument` to
            create status using an error code without accessing it.
        *   Use the free functions such as

    Tensor output;
    ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line;
    ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      ASSERT_EQ(data[i], output.flat<tstring>()(i)) << line;
    }

    TF_DeleteTensor(dst);
  }
}

TEST(CAPI, TensorEncodeDecodeStrings) {

 *      <th>Notes</th>
 *  </tr>
 *  <tr>
 *      <td>goal</td>
 *      <td>name = "&lt;goal-name&gt;"</td>
 *      <td>Yes</td>
 *      <td>The name for the Mojo that users will reference from the command line to execute the Mojo directly,
 *      or inside a POM in order to provide Mojo-specific configuration.</td>
 *  </tr>
 *  <tr>
 *      <td>implementation</td>
 *      <td>none (detected)</td>
 *      <td>Yes</td>

	if ns1 != ns2 {
		return fmt.Errorf("Expected number of endpoints %d, seen %d", ns1, ns2)
	}

	for i, cmdLine := range s1.CmdLines {
		if cmdLine != s2.CmdLines[i] {
			return fmt.Errorf("Expected command line argument %s, seen %s", cmdLine,
				s2.CmdLines[i])
		}
	}

	if reflect.DeepEqual(s1.MinioEnv, s2.MinioEnv) {
		return nil
	}

	// Report differences in environment variables.
	var missing []string

   * method.
   */
  public void callAndAssertWaits(String methodName, Object conditionLikeObject) throws Exception {
    checkNotNull(methodName);
    checkNotNull(conditionLikeObject);
    // TODO: Restore the following line when Monitor.hasWaiters() no longer acquires the lock.
    // assertEquals(false, invokeMethod("hasWaiters", conditionLikeObject));
    sendRequest(methodName, conditionLikeObject);
    Thread.sleep(DUE_DILIGENCE_MILLIS);

   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}
   * values (i.e. it is the square root of the mean of the squares of the vertical distances between
   * the data points and the best fit line). For this fit, this error is a fraction {@code sqrt(1 -
   * R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's