import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * Implementation of {@code Multimap} that uses an {@code ArrayList} to store the values for a given
 * key. A {@link HashMap} associates each key with an {@link ArrayList} of values.
 *

import org.apache.maven.project.MavenProject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Builds the full lifecycle in weave-mode (phase by phase as opposed to project-by-project).
 * <p>
 * This builder uses a number of threads equal to the minimum of the degree of concurrency (which is the thread count
 * set with <code>-T</code> on the command-line) and the number of projects to build. As such, building a single project

- If storage class is not defined before starting MinIO server, and subsequent PutObject metadata field has `x-amz-storage-class` present
with values `REDUCED_REDUNDANCY` or `STANDARD`, MinIO server uses default parity values.

### Set metadata

Aber dieser Leitfaden zeigt Ihnen mehr oder weniger, wie die beiden normalerweise verwendet werden.

///

### Pydantics `exclude_unset`-Parameter verwenden { #using-pydantics-exclude-unset-parameter }

Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich.

Wie in `item.model_dump(exclude_unset=True)`.

Pero esta guía te muestra, más o menos, cómo se pretende que se usen.

///

### Uso del parámetro `exclude_unset` de Pydantic { #using-pydantics-exclude-unset-parameter }

Si quieres recibir actualizaciones parciales, es muy útil usar el parámetro `exclude_unset` en el `.model_dump()` del modelo de Pydantic.

Como `item.model_dump(exclude_unset=True)`.

But now that FastAPI 0.99.0 and above uses OpenAPI 3.1.0, that uses JSON Schema 2020-12, and Swagger UI 5.0.0 and above, everything is more consistent and the examples are included in JSON Schema.

### Swagger UI and OpenAPI-specific `examples` { #swagger-ui-and-openapi-specific-examples }

Another big feature required by APIs is <dfn title="reading and converting to Python data">parsing</dfn> data from incoming requests.

Webargs is a tool that was made to provide that on top of several frameworks, including Flask.

It uses Marshmallow underneath to do the data validation. And it was created by the same developers.

It's a great tool and I have used it a lot too, before having **FastAPI**.

/// info

    assertThat("Thursday, 01-Jan-1970 00:00:00 PST JUNK".toHttpDateOrNull()!!.time)
      .isEqualTo(28800000L)

    // ANSI C's asctime() format
    // This format ignores the timezone entirely even if it is present and uses GMT.
    assertThat("Fri Jun 6 12:30:30 2014 PST".toHttpDateOrNull()!!.time).isEqualTo(1402057830000L)
    // Ignore trailing junk.
    assertThat("Fri Jun 6 12:30:30 2014 JUNK".toHttpDateOrNull()!!.time).isEqualTo(1402057830000L)

 * <li>Determine the OS family (e.g., Windows, Unix, Mac)</li>
 * <li>Check if the current OS is Windows-based</li>
 * </ul>
 * <p>
 * The service implementation uses system properties to detect OS characteristics:
 * <ul>
 * <li>os.name: The operating system name</li>
 * <li>os.arch: The operating system architecture</li>
 * <li>os.version: The operating system version</li>
 * </ul>

#
# Each third party .class failing checks will need to be explicitly
# listed in the module's build.gradle file:
#
#   thirdPartyAudit.excludes = [
#    // uses internal java api: sun.misc.Unsafe
#    'org.foo.Bar',
#    // missing class!
#    'com.missing.dependency.WTF',
#    // ...
#   ]
#
# Wildcards are not allowed, excludes must be exact. The build also fails with