else:
          ver = int(sm_compute_match.group(2))
          if ver < 30:
            print(
                'ERROR: TensorFlow only supports small CUDA compute'
                ' capabilities of sm_30 and higher. Please re-specify the list'
                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:

		return ESSUnknown, "", fmt.Errorf("unable to get ES Server version - json parse error: %v", err)
	}

	if v, ok := m["version"].(map[string]interface{}); ok {
		if ver, ok := v["number"].(string); ok {
			status, err := getESVersionSupportStatus(ver)
			return status, ver, err
		}
	}
	return ESSUnknown, "", fmt.Errorf("Unable to get ES Server Version - got INFO response: %v", m)
}

func (c *esClientV7) isAtleastV7() bool {

                        bundle("all", ["lib", "lib2"])
                    }
                    otherLibs {
                        version("ver", "1.1")
                        library("lib", "org", "test2").versionRef("ver")
                    }
                }
            }
        """

        buildFile << """

Pero todavía es posible documentarlo como es descrito en [Respuestas adicionales en OpenAPI](additional-responses.md){.internal-link target=_blank}.

	var latestVersion *versionutil.Version
	for versionStr, nodes := range kubeAPIServerVersions {
		ver, err := versionutil.ParseSemantic(versionStr)
		if err != nil {
			return nil, fmt.Errorf("couldn't parse kube-apiserver version %s from nodes %v", versionStr, nodes)
		}
		if latestVersion == nil || ver.AtLeast(latestVersion) {
			latestVersion = ver
		}
	}

	return latestVersion, nil

                constituent.getVersion());
    }

    private static String getId(String gid, String aid, String type, String cls, String ver) {
        return gid + ':' + aid + ':' + type + ((cls != null && !cls.isEmpty()) ? ':' + cls : "") + ':' + ver;
    }

    private void callDelegates(
            ClassRealm classRealm,
            RealmType type,
            ClassLoader parent,

	}
	baseSet := EnvSet{compatibilityVersion: compatibilityVersion, newExpressions: base, storedExpressions: base}
	return baseSet.Extend(opts...)
}

func mustNewEnvSet(ver *version.Version, opts []VersionedOptions) *EnvSet {
	envSet, err := newEnvSet(ver, opts)
	if err != nil {
		panic(fmt.Sprintf("Default environment misconfigured: %v", err))
	}
	return envSet
}

## Caso de uso

Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖

	offset_count uint32
	counter_mask uint32
	offset       bintime
	boottime     bintime
	x86_shift    uint32
	x86_hpet_idx uint32
	res          [6]uint32
}

type vdsoTimekeep struct {
	ver       uint32
	enabled   uint32
	current   uint32
	pad_cgo_0 [4]byte
}

const (
	_VDSO_TK_VER_CURR = 0x1

	vdsoTimehandsSize = 0x58
	vdsoTimekeepSize  = 0x10

	offset_count uint32
	counter_mask uint32
	offset       bintime
	boottime     bintime
	x86_shift    uint32
	x86_hpet_idx uint32
	res          [6]uint32
}

type vdsoTimekeep struct {
	ver     uint32
	enabled uint32
	current uint32
}

const (
	_VDSO_TK_VER_CURR = 0x1

	vdsoTimehandsSize = 0x50
	vdsoTimekeepSize  = 0xc