func (wf *ServiceFilter) Verify(svc *ZtunnelService) bool {
	if wf.Namespace != "" {
		if !strings.EqualFold(svc.Namespace, wf.Namespace) {
			return false
		}
	}

	return true
}

// PrintServiceSummary prints a summary of the relevant services in the config dump to the ConfigWriter stdout
func (c *ConfigWriter) PrintServiceSummary(filter ServiceFilter) error {
	w := c.tabwriter()
	zDump := c.ztunnelDump

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/strcat.h"

// =============================================================================
// Public C API entry points
// These are only the entry points specific to the Eager API.
// =============================================================================

using tensorflow::AbstractContext;
using tensorflow::AbstractTensorHandle;

  - Add configurable `--network` and `--rm` flags for docker in `Makefile`
  - Subtract DaemonSet pods' requests from node allocatable in the denominator while computing node utilization
  - Include taints by condition when determining if a node is unready/still starting
  - Fix `update-vendor.sh` to work on OSX and zsh
  - Add best-effort eviction for DaemonSet pods while scaling down non-empty nodes

	err := w.UnmarshalJSON(b)
	if err != nil {
		return fmt.Errorf("error unmarshalling config dump response from Envoy: %v", err)
	}
	c.configDump = w
	return nil
}

// PrintBootstrapDump prints just the bootstrap config dump to the ConfigWriter stdout
func (c *ConfigWriter) PrintBootstrapDump(outputFormat string) error {
	if c.configDump == nil {
		return fmt.Errorf("config writer has not been primed")
	}

		a[na] = s[fieldStart:len(s):len(s)]
	}
	return a
}

// FieldsFunc interprets s as a sequence of UTF-8-encoded code points.
// It splits the slice s at each run of code points c satisfying f(c) and
// returns a slice of subslices of s. If all code points in s satisfy f(c), or
// len(s) == 0, an empty slice is returned.
//
// FieldsFunc makes no guarantees about the order in which it calls f(c)

Estos **type hints** son una nueva sintaxis, desde Python 3.6+, que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Usando las declaraciones de tipos para tus variables, los editores y otras herramientas pueden proveerte un soporte mejor.

                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">
                            <mxPoint x="800" y="521"/>
                            <mxPoint x="800" y="560"/>
                        </Array>
                        <mxPoint x="803" y="521" as="sourcePoint"/>

                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">
                            <mxPoint x="800" y="521"/>
                            <mxPoint x="800" y="560"/>
                        </Array>
                        <mxPoint x="803" y="521" as="sourcePoint"/>

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

 *     .addPathSegment("search")
 *     .addQueryParameter("q", "polar bears")
 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *
 * As another example, this code prints the human-readable query parameters of a Twitter search:
 *
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");