import java.lang.annotation.Target;

/**
 * Signifies that a public API (public class, method or field) is subject to incompatible changes,
 * or even removal, in a future release. An API bearing this annotation is exempt from any
 * compatibility guarantees made by its containing library. Note that the presence of this
 * annotation implies nothing about the quality or performance of the API in question, only the fact

import java.lang.annotation.Target;

/**
 * Signifies that a public API (public class, method or field) is subject to incompatible changes,
 * or even removal, in a future release. An API bearing this annotation is exempt from any
 * compatibility guarantees made by its containing library. Note that the presence of this
 * annotation implies nothing about the quality or performance of the API in question, only the fact

	netns := fixture.podNsMap.Take(string(pod.UID))
	assert.Equal(t, nil, netns)

	// run gc to clean up ns:

	//revive:disable-next-line:call-to-gc Just a test that we are cleaning up the netns
	runtime.GC()
	assertNSClosed(t, closed)
}

func TestServerRemovePodAlwaysRemovesIPSetEntryEvenOnFail(t *testing.T) {
	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()

    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_role("button", name="GET /items/ Read Items").click()
    page.get_by_role("button", name="Try it out").click()
    page.get_by_role("heading", name="Servers").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()

* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Imagina en una enorme hoja de cálculo con números y tener que multiplicarlos todos al mismo tiempo.

}

// UnaryTerm represents a single negated term or a primary term
type UnaryTerm struct {
	Negated *NegatedTerm `parser:"  @@"`
	Primary *PrimaryTerm `parser:"| @@"`
}

// NegatedTerm has a leading minus sign.
type NegatedTerm struct {
	Term *PrimaryTerm `parser:"\"-\" @@"`
}

// PrimaryTerm represents a Value, Path expression, a Sub-expression
// or a function call.
type PrimaryTerm struct {

# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",
        "//learning/brain/keras/...",
        "//learning/brain/mlir/...",
        "//learning/brain/tfrt/...",
        "//learning/lib/ami/simple_ml/...",
        "//learning/pathways/...",
        "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",

        run('checkDeadInternalLinks').buildAndFail()

        then:
        assertFoundDeadJavadocLinks(sampleDoc, "org/gradle/nowhere/tasks/InputDirectory.html")
    }

    def "finds broken javadoc links with leading javadoc path component"() {
        given:
        sampleDoc << """
=== Invalid Javadoc Links

///

/// tip | Consejo

Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

### Declara un *parámetro de path*

Luego, crea un *parámetro de path* con anotaciones de tipos usando la clase enum que creaste (`ModelName`):

```Python hl_lines="16"

			metrics[d.Endpoint] = madmin.DiskMetric{NDisks: 1, Offline: 1}
			continue
		}

		var dm madmin.DiskMetric
		dm.NDisks = 1
		if d.Healing {
			dm.Healing++
		}
		if d.Metrics != nil {
			dm.LifeTimeOps = make(map[string]uint64, len(d.Metrics.APICalls))
			for k, v := range d.Metrics.APICalls {
				if v != 0 {
					dm.LifeTimeOps[k] = v
				}
			}