-   type: dropdown id: source attributes: label: Source description: Tensorflow

private fun runBatch(
  dnsProviders: List<DnsOverHttps>,
  names: List<String>,
) {
  var time = System.currentTimeMillis()
  for (dns in dnsProviders) {
    println("Testing ${dns.url}")
    for (host in names) {
      print("$host: ")
      System.out.flush()
      try {
        val results = dns.lookup(host)
        println(results)
      } catch (uhe: UnknownHostException) {
        var e: Throwable? = uhe
        while (e != null) {

# environment. This is needed to allow overrides from Makefile.overrides.mk.
export

RUN = ./common/scripts/run.sh

MAKE_DOCKER = $(RUN) make --no-print-directory -e -f Makefile.core.mk

%:
	@$(MAKE_DOCKER) $@

default:
	@$(MAKE_DOCKER)

shell:
	@$(RUN) /bin/bash

.PHONY: default shell

else

```py
#!/usr/bin/env python3
from __future__ import print_function
import paho.mqtt.client as mqtt

# This is the Subscriber

def on_connect(client, userdata, flags, rc):
  print("Connected with result code "+str(rc))
  # qos level is set to 1
  client.subscribe("minio", 1)

def on_message(client, userdata, msg):
    print(msg.payload)

# See the License for the specific language governing permissions and
# limitations under the License.
#
# ==============================================================================

# Do not print anything if this is not being used interactively
[ -z "$PS1" ] && return

# Set up attractive prompt
export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > "
export TERM=xterm-256color

    a debug message.

  * If the wagon is bound to "file://" then:

    Retrieve the file or base-url file to be "downloaded".

    * If the file (or more usefully, the base-url file) exists, proceed.

    * If the file (or base-url file) doesn't exist, assume that this location
      is part of a file-share. Ignore the request and print a debug message
      as above.

                workingDir = "%teamcity.build.checkoutDir%/dogfood-first-for-hash"
                scriptContent = """
                    set -x
                    MD5=`find . -type f | sort | xargs md5sum | md5sum | awk '{ print $1 }'`
                    echo "##teamcity[setParameter name='env.ORG_GRADLE_PROJECT_versionQualifier' value='gradleception-${'$'}MD5']"
                """.trimIndent()
            }
            gradleWrapper {

            append("@")

            if (classId != null) {
                append("R|")
                renderFqName(classId.asSingleFqName(), printer)
                append("|")
            } else {
                print("<ERROR TYPE REF>")
            }

            printCollection(namedValues, separator = ", ", prefix = "(", postfix = ")") { argument ->
                append(argument.name.render())
                append(" = ")

                atTotal += pool.Available
                if atTotal > choose && pool.Available > 0 {
                        return pool.Index
                }
        }
        // Should not happen, but print values just in case.
        panic(fmt.Errorf("reached end of serverPools (total: %v, atTotal: %v, choose: %v)", total, atTotal, choose))
}
```

## Other usages

### Advanced use cases with multiple ellipses

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```