* <li>Unlimited number of version components,</li>
 * <li>Version components in the text can be digits or strings,</li>
 * <li>Strings are checked for well-known qualifiers, and the qualifier ordering is used for version ordering.
 *     Well-known qualifiers (case-insensitive) are, in order from least to greatest:<ol>
 *     <li><code>alpha</code> or <code>a</code></li>
 *     <li><code>beta</code> or <code>b</code></li>

                    "Expected " + pomContent + " to contain " + "<groupId>com.example</groupId>");
            // Note: The exact modifications depend on which strategies are applicable
            // This test mainly verifies that apply goal can modify files
        }
    }

    @Nested
    @DisplayName("Multi-module Projects")
    class MultiModuleTests {

        @Test

}

func (b *streamingBitrotReader) ReadAt(buf []byte, offset int64) (int, error) {
	var err error
	if offset%b.shardSize != 0 {
		// Offset should always be aligned to b.shardSize
		// Can never happen unless there are programmer bugs
		return 0, errUnexpected
	}
	if b.rc == nil {
		// For the first ReadAt() call we need to open the stream for reading.
		b.currOffset = offset

		StatusCode: http.StatusBadRequest,
	}
	// error returned when remote tier credentials are invalid.
	errTierInvalidCredentials = AdminError{
		Code:       "XMinioAdminTierInvalidCredentials",
		Message:    "Invalid remote tier credentials",
		StatusCode: http.StatusBadRequest,
	}
	// error returned when reserved internal names are used.
	errTierReservedName = AdminError{
		Code:       "XMinioAdminTierReserved",

      "keras.api._v1.keras.__internal__.legacy.rnn_cell")
_current_module.nn.__path__ = [_module_dir] + _current_module.nn.__path__

del importlib

# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi

     * @param clazz The class.
     */
    ClassMap(Class<?> clazz) {
        this.clazz = clazz;
        populateMethodCache();
    }

    /**
     * @return the class object whose methods are cached by this map.
     */
    Class<?> getCachedClass() {
        return clazz;
    }

    /**
     * <p>Find a Method using the methodKey provided.</p>
     * <p>Look in the methodMap for an entry. If found,

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

	// if no heal-results are consumed (via the heal-status API)
	// for this timeout duration, the heal sequence is aborted.
	healUnconsumedTimeout = 24 * time.Hour

	// time-duration to keep heal sequence state after it
	// completes.

In the next sections you will see other options, configurations, and additional features.

/// tip

The next sections are **not necessarily "advanced"**.

And it's possible that for your use case, the solution is in one of them.

///

## Read the Tutorial first { #read-the-tutorial-first }

# ==============================================================================
TFCI_INSTALLER_WHL_ENABLE=1
TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"