```Python hl_lines="16-17  24-25"
{!> ../../docs_src/dependencies/tutorial008.py!}
```

////

The same way, you could have some dependencies with `yield` and some other dependencies with `return`, and have some of those depend on some of the others.

And you could have a single dependency that requires several other dependencies with `yield`, etc.

You can have any combinations of dependencies that you want.

        this.charset = charset;
    }

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.robot.client.S2RobotClient#doHead(java.lang.String)
     */
    @Override
    public ResponseData doHead(final String url) {
        try {
            final ResponseData responseData = processRequest(url, false);
            responseData.setMethod(Constants.HEAD_METHOD);

///

Pydantic ✔️ 🐕‍🦺 👂 ⚪️➡️ 👉 🆎 📁 ⚙️ 🔢 🗃. 👆 💪 ✍ 🌖 <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/#dotenv-env-support" class="external-link" target="_blank">Pydantic ⚒: 🇨🇻 (.🇨🇻) 🐕‍🦺</a>.

/// tip

👉 👷, 👆 💪 `pip install python-dotenv`.

///

###  `.env` 📁

👆 💪 ✔️ `.env` 📁 ⏮️:

```bash
ADMIN_EMAIL="******@****.***"
APP_NAME="ChimichangApp"

 * attributes of this artifact.
 *
 * TODO I think this exposes a design flaw in that the immutable and mutable parts of an artifact are in one class and
 * should be split. ie scope, file, etc depend on the context of use, whereas everything else is immutable.
 */
@Deprecated
public class ActiveProjectArtifact implements Artifact {
    private final Artifact artifact;

    private final MavenProject project;

 * invoke methods, they invoke methods on the {@code ForwardingMultiset}.
 *
 * <p>The {@code standard} methods and any collection views they return are not guaranteed to be
 * thread-safe, even when all of the methods that they depend on are thread-safe.
 *
 * @author Kevin Bourrillion
 * @author Louis Wasserman
 * @since 2.0
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault

    visibility = ["//visibility:public"],
    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on

		_, err := io.ReadFull(rc, chunk[:frag])
		if err != nil {
			t.Fatal("read:", err)
		}
	}
	gotEnd, err := io.ReadAll(rc)
	if err != nil {
		t.Fatal("read end:", err)
	}
	if !bytes.Equal(gotEnd, end) {
		t.Errorf("End of zip64 archive %q, want %q", gotEnd, end)
	}
	err = rc.Close()
	if err != nil {
		t.Fatal("closing:", err)
	}
	if size+int64(len("END\n")) >= 1<<32-1 {

  /**
   * Compares the specified object to this multimap for equality.
   *
   * <p>Two {@code SetMultimap} instances are equal if, for each key, they contain the same values.
   * Equality does not depend on the ordering of keys or values.
   *
   * <p>An empty {@code SetMultimap} is equal to any other empty {@code Multimap}, including an
   * empty {@code ListMultimap}.
   */
  @Override

  /**
   * Compares the specified object to this multimap for equality.
   *
   * <p>Two {@code SetMultimap} instances are equal if, for each key, they contain the same values.
   * Equality does not depend on the ordering of keys or values.
   *
   * <p>An empty {@code SetMultimap} is equal to any other empty {@code Multimap}, including an
   * empty {@code ListMultimap}.
   */
  @Override

In most cases you would (and should) have a "termination proxy" handling HTTPS for you on top, this will depend on how you deploy your application, your provider might do this for you, or you might need to set it up yourself.

/// tip