echo "Generating a PyPI upload compatible wheel for ${whl_tag}"
  echo ""
  # Unpacking a wheel creates a directory named
  # {distribution}-{version}.dist-info which contains the metadata files. We
  # replace the old tag in the WHEEL file in this directory with the new tag we
  # have in ${whl_tag}. Replace the line in WHEEL that starts with "Tag:" with
  # "Tag: <new whl tag>"

import javax.xml.stream.XMLInputFactory;
import javax.xml.stream.XMLStreamException;
import javax.xml.stream.XMLStreamReader;

import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import java.util.ArrayList;
import java.util.List;
import java.util.jar.JarFile;
import java.util.zip.ZipEntry;

import org.apache.maven.api.xml.XmlNode;
import org.apache.maven.api.xml.XmlService;

/**

The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure
`ci/official/requirements_updater/requirements.in` contains the desired direct
dependencies list and then execute the following command (which will call

		return Info{}, err
	}
	reservedBlocks := uint64(s.Bfree) - uint64(s.Bavail)
	info = Info{
		Total:  uint64(s.Frsize) * (uint64(s.Blocks) - reservedBlocks),
		Free:   uint64(s.Frsize) * uint64(s.Bavail),
		Files:  uint64(s.Files),
		Ffree:  uint64(s.Ffree),
		FSType: getFSType(s.Fstr[:]),
	}
	if info.Free > info.Total {

	return fmt.Sprintf("minio-%s.log", fmt.Sprintf("%X", time.Now().UTC().UnixNano()))
}

// Options define configuration options for Writer
type Options struct {
	// Directory defines the directory where log files will be written to.
	// If the directory does not exist, it will be created.
	Directory string

	// MaximumFileSize defines the maximum size of each log file in bytes.
	MaximumFileSize int64

//
// The table's lower portion shows specialized features of each format,
// such as supported string encodings, support for sub-second timestamps,
// or support for sparse files.
//
// The Writer currently provides no support for sparse files.
type Format int

// Constants to identify various tar formats.
const (
	// Deliberately hide the meaning of constants from public API.

`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

import javax.inject.Singleton;
import javax.xml.stream.XMLStreamException;

import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.io.Reader;
import java.nio.file.Files;
import java.util.Map;
import java.util.Objects;

import org.apache.maven.artifact.repository.metadata.Metadata;
import org.apache.maven.metadata.v4.MetadataStaxReader;

/**

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.handler;

import javax.inject.Inject;

import java.io.File;
import java.nio.file.Files;
import java.util.List;

import org.apache.maven.artifact.handler.manager.ArtifactHandlerManager;
import org.codehaus.plexus.PlexusContainer;
import org.codehaus.plexus.testing.PlexusTest;

import javax.inject.Singleton;
import javax.xml.stream.XMLStreamException;

import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.io.Reader;
import java.nio.file.Files;
import java.util.Map;
import java.util.Objects;

import org.apache.maven.api.toolchain.InputSource;
import org.apache.maven.toolchain.model.PersistedToolchains;