//tensorflow/python/feature_column:vocabulary_testdata
//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter
//tensorflow/lite/python:interpreter_test

  repository works...if it doesn't work, we can mark that repository offline...

  OTOH, all offline-mode checks can probably be run from Wagon-based APIs.

** Maven-SCM

  In all but trivial examples, SCM operations cannot complete without
  having access to the versioning server. Therefore, it is assumed that
  any SCM-related activity will be unavailable when m2 is in offline
  mode.

** Maven-Core

                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/Item",
                                    "examples": [
                                        {
                                            "description": "A very nice Item",
                                            "name": "Foo",

    - [Other notable changes](#other-notable-changes-17)
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# v1.3.10

[Documentation](http://kubernetes.github.io) & [Examples](http://releases.k8s.io/release-1.3/examples)

## Downloads for v1.3.10


filename | sha256 hash
-------- | -----------

  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>simple</groupId>
  <artifactId>simple</artifactId>
  <version>1.0-SNAPSHOT</version>
  <packaging>pom</packaging>

 * limitations under the License.
 */

package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;

/**
 * A sample enumerated type we use for testing.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
public enum AnEnum {
  A,
  B,
  C,
  D,
  E,
  F

* APIs externas
* sistemas de autenticación y autorización
* sistemas de monitoreo de uso de la API
* sistemas de inyección de datos de response
* etc.

## Simple y Poderoso { #simple-and-powerful }

Aunque el sistema de inyección de dependencias jerárquico es muy simple de definir y usar, sigue siendo muy poderoso.

Puedes definir dependencias que a su vez pueden definir dependencias ellas mismas.

Por exemplo, nós, a equipe por trás do FastAPI, criamos <a href="https://fastapicloud.com" class="external-link" target="_blank">**FastAPI Cloud**</a>, para tornar a implantação de aplicações FastAPI na nuvem o mais simples possível, com a mesma experiência de desenvolvimento de trabalhar com o FastAPI.

      - [AWS](#aws)
      - [GCE](#gce)
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# v1.2.7

[Documentation](http://kubernetes.github.io) & [Examples](http://releases.k8s.io/release-1.2/examples)

## Downloads for v1.2.7


filename | sha256 hash
-------- | -----------

    assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"'


def test_security_http_basic_invalid_credentials():
    response = client.get(
        "/users/me", headers={"Authorization": "Basic notabase64token"}
    )
    assert response.status_code == 401, response.text
    assert response.headers["WWW-Authenticate"] == 'Basic realm="simple"'
    assert response.json() == {"detail": "Not authenticated"}