In this example, we are simulating a file with `io.BytesIO`, which is a file-like object that lives only in memory, but lets us use the same interface.

For example, we can iterate over it to consume its contents, as we could with a file.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[1:27] hl[3,12:13,25] *}

/// note | Technical Details

            return OptionalThing.empty();
        }

        @Override
        public org.dbflute.optional.OptionalThingIfPresentAfter ifExecutingNow(
                final java.util.function.Consumer<org.lastaflute.job.subsidiary.SnapshotExecState> oneArgLambda) {
            return processor -> processor.process();
        }

        @Override

 * models, settings, or toolchains. The source implementation handles
 * all the details of accessing the underlying content while providing
 * a uniform API to consumers.
 * <p>
 * Sources can represent:
 * <ul>
 *   <li>Local filesystem files</li>
 *   <li>In-memory content</li>
 *   <li>Database entries</li>
 *   <li>Network resources</li>
 * </ul>
 *
 * @since 4.0.0

  final MapIteratorCache<N, NetworkConnections<N, E>> nodeConnections;

  // We could make this a Map<E, EndpointPair<N>>. It would make incidentNodes(edge) slightly
  // faster, but also make Networks consume 5 to 20+% (increasing with average degree) more memory.
  final MapIteratorCache<E, N> edgeToReferenceNode; // referenceNode == source if directed

  /** Constructs a graph with the properties specified in {@code builder}. */

import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.function.Consumer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;

import org.apache.maven.InternalErrorException;
import org.apache.maven.Maven;

            return OptionalThing.empty();
        }

        @Override
        public org.dbflute.optional.OptionalThingIfPresentAfter ifExecutingNow(
                final java.util.function.Consumer<org.lastaflute.job.subsidiary.SnapshotExecState> oneArgLambda) {
            return processor -> processor.process();
        }

        @Override

         */
        BUILD_EFFECTIVE,
        /**
         * The request is used specifically to parse the POM used as a basis for creating the consumer POM.
         * This POM will not undergo any profile activation.
         */
        BUILD_CONSUMER,
        /**
         * The request is for building a model from a parent POM file from a downloaded artifact.

     * to iterate the transitive dependencies and add excludes.
     */
    public static void configureConfigurations(Project project) {
        // we are not shipping these jars, we act like dumb consumers of these things
        if (project.getPath().startsWith(":test:fixtures") || project.getPath().equals(":build-tools")) {
            return;
        }
        // fail on any conflicting dependency versions

This will help us inside of the function with all the completion and type checks.

/// tip

You might remember that request bodies are also declared with Pydantic models.

Here **FastAPI** won't get confused because you are using `Depends`.

///

/// check

The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.

- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.