/**
     * Shortcut for {@code getService(ArtifactResolver.class).resolve(...)}.
     *
     * @param coordinates coordinates of the artifact to resolve
     * @return requested artifact together with the path to its file
     * @throws org.apache.maven.api.services.ArtifactResolverException if the artifact resolution failed
     *
     * @see org.apache.maven.api.services.ArtifactResolver#resolve(Session, Collection)

///

### `startup` and `shutdown` together { #startup-and-shutdown-together }

There's a high chance that the logic for your *startup* and *shutdown* is connected, you might want to start something and then finish it, acquire a resource and then release it, etc.

This is not a limitation of **FastAPI**, it's part of the HTTP protocol.

///

## Recap { #recap }

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
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

 */
package org.codelibs.fess.suggest.normalizer;

import java.util.ArrayList;
import java.util.List;

/**
 * The NormalizerChain class implements the Normalizer interface and allows chaining multiple normalizers together.
 * It applies each normalizer in the order they were added to the chain.
 *
 * <p>Usage example:</p>
 * <pre>
 * NormalizerChain chain = new NormalizerChain();
 * chain.add(new SomeNormalizer());

import jcifs.util.Hexdump;

/**
 * Base class for SMB1 AndX (chained) command messages.
 * This class extends ServerMessageBlock to support SMB1 command chaining, where multiple
 * related commands can be batched together in a single message for improved efficiency.
 */
public abstract class AndXServerMessageBlock extends ServerMessageBlock {

    private static final Logger log = LoggerFactory.getLogger(AndXServerMessageBlock.class);

reserves the right to occasionally do so for some Go values.
*/
package arena

import (
	"internal/reflectlite"
	"unsafe"
)

// Arena represents a collection of Go values allocated and freed together.
// Arenas are useful for improving efficiency as they may be freed back to
// the runtime manually, though any memory obtained from freed arenas must
// not be accessed once that happens. An Arena is automatically freed once

		result := drain(input)
		if result != test.output {
			t.Errorf("%s: got %q expected %q", test.name, result, test.output)
		}
	}
}

// lines joins the arguments together as complete lines.
func lines(a ...string) string {
	return strings.Join(a, "\n") + "\n"
}

// drain returns a single string representing the processed input tokens.
func drain(input *Input) string {

  {{.Name}} - {{.Usage}}

USAGE:
  {{.Name}} {{if .VisibleFlags}}[FLAGS]{{end}} [HEALINGBINFILE|INSPECTZIPFILE]

files ending in '.zip' will be searched for '.healing.bin files recursively and
printed together as a single JSON.

FLAGS:
  {{range .VisibleFlags}}{{.}}
  {{end}}
`
	app.Flags = []cli.Flag{}
	app.Action = func(c *cli.Context) error {
		if !c.Args().Present() {

## Benchmarks and speed { #benchmarks-and-speed }

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like: