var files []string
	for _, line := range lines {
		if len(line) == 0 {
			continue
		}
		xmlLines := getLines(parseMobileProvision(string(line)))
		matches := 0
		for _, udid := range udids {
			for _, xmlLine := range xmlLines {
				if bytes.Contains(xmlLine, udid) {
					matches++
				}
			}
		}
		if matches == len(udids) {
			files = append(files, string(line))
		}
	}
	return files
}

 *             return createExpensiveGraph(key);
 *           }
 *         });
 * }
 *
 * <p>Or equivalently,
 *
 * {@snippet :
 * // In real life this would come from a command-line flag or config file
 * String spec = "maximumSize=10000,expireAfterWrite=10m";
 *
 * LoadingCache<Key, Graph> graphs = CacheBuilder.from(spec)
 *     .removalListener(MY_LISTENER)
 *     .build(

      out.append(charSequence);
    }
  }

  /**
   * Writes the given lines of text to this sink with each line (including the last) terminated with
   * the operating system's default line separator. This method is equivalent to {@code
   * writeLines(lines, System.getProperty("line.separator"))}.
   *
   * @throws IOException if an I/O error occurs while writing to this sink
   */

                if (!line.startsWith("#")) {
                    final String urlValue;
                    if (urlEncodeDisabled.get()) {
                        urlValue = line;
                        urlEncodeDisabled.set(false);
                    } else {
                        urlValue = systemHelper.encodeUrlFilter(line);
                    }

// If s does not end in a newline, the final yielded line will not end in a newline.
// It returns a single-use iterator.
func Lines(s []byte) iter.Seq[[]byte] {
	return func(yield func([]byte) bool) {
		for len(s) > 0 {
			var line []byte
			if i := IndexByte(s, '\n'); i >= 0 {
				line, s = s[:i+1], s[i+1:]
			} else {
				line, s = s, nil
			}
			if !yield(line[:len(line):len(line)]) {
				return
			}
		}
	}
}

2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```

        "//tensorflow/lite/c:common",
        "//tensorflow/lite/core/api",
        "//tensorflow/lite/delegates/flex:delegate",
        "//tensorflow/lite/kernels/internal:compatibility",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",

	"time"
)

// WARNING:
//
// Expected source line number is hard coded, 35, in the
// following test. Adding new code before this test or changing its
// position will cause the line number to change and the test to FAIL
// Tests getSource().
func TestGetSource(t *testing.T) {
	currentSource := func() string { return getSource(2) }
	gotSource := currentSource()
	// Hard coded line number, 34, in the "expectedSource" value

```

Update "Bosnian" with the new language.

And update the search link to point to the new language label that will be created, like `lang-bs`.

Create and add the label to that new Discussion just created, like `lang-bs`.

Then go back to the PR, and add the label, like `lang-bs`, and `lang-all` and `awaiting-review`.

     * @param line The one-based index of the line containing the problem or {@code -1} if unknown.
     * @param column The one-based index of the column containing the problem or {@code -1} if unknown.
     * @param cause The cause of the problem, may be {@code null}.
     */
    void add(SettingsProblem.Severity severity, String message, int line, int column, Exception cause);