import com.google.caliper.Param;
import com.google.caliper.api.Footprint;
import com.google.caliper.api.SkipThisScenarioException;
import com.google.common.util.concurrent.AbstractFutureBenchmarks.Facade;
import com.google.common.util.concurrent.AbstractFutureBenchmarks.Impl;
import java.util.HashSet;
import java.util.Set;
import java.util.concurrent.Executor;
import org.jspecify.annotations.NullUnmarked;

        assertNotNull(result);
        assertEquals(6, result.length);
        assertEquals("Service", result[0]);
        assertEquals("ServiceImpl", result[1]);
        assertEquals("Facade", result[2]);
        assertEquals("FacadeImpl", result[3]);
        assertEquals("Logic", result[4]);
        assertEquals("LogicImpl", result[5]);
    }

    // Test toBeDisposable with null process

    /** Default bypass invoke names for DBFlute behavior invocation. */
    protected static final String[] DEFAULT_BYPASS_INVOKE_NAMES =
            { "Service", "ServiceImpl", "Facade", "FacadeImpl", "Logic", "LogicImpl" };

    @Override
    public DBDef assistCurrentDBDef() {
        // TODO Auto-generated method stub
        return null;
    }

    @Override

    strip_prefix = "rules_shell-0.4.1",
    url = "https://github.com/bazelbuild/rules_shell/releases/download/v0.4.1/rules_shell-v0.4.1.tar.gz",
)

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["fastapi", "run", "app/main.py", "--port", "80"]

# Si estás detrás de un proxy como Nginx o Traefik añade --proxy-headers
# CMD ["fastapi", "run", "app/main.py", "--port", "80", "--proxy-headers"]
```

</details>

## Qué es un Contenedor

   * checkNotNull *should* be annotated to require it to be non-null.
   *
   * However, for a variety of reasons, Google developers have written a ton of code over the past
   * decade that assumes that they can use checkNotNull for non-precondition checks. I had hoped to
   * take a principled stand on this, but the amount of such code is simply overwhelming. To avoid

eser?ixat?l&anruoj?euf?icnuoc?ortnoc!-ciffart-ria???n&gised?oi&nu?t&a&cifitrec?ercer?gi&tsevni-tnedicca?van??i&cossa!-regnessap??valivic??redef??cudorp?neverp-tnedicca????ograc?p&ihsnoipmahc?uorg!gnikrow???r&e&dart?enigne?korb?niart?trahc??o&htua?tacude???s&citsigol?e&civres?r??krow?serp!xe??tnega??t&farcr&ia?otor??hgi&erf?l&f?orcim???liubemoh?n&atlusnoc?e&duts?m&n&iatretne?revog??piuqe????olip?ropria?si&lanruoj?tneics???w&erc?ohs??y&cnegreme?dobper?tefas????rref?z??p!.&a&aa?ca?pc??dem?gne?korgn...

            neural-network-focused hardware features such as AVX512_VNNI,
            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)