You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap { #recap }

You now have the tools to implement a complete security system based on `username` and `password` for your API.

Using these tools, you can make the security system compatible with any database and with any user or data model.

The only detail missing is that it is not actually "secure" yet.

     *
     * @return the toolchain type
     */
    String getType();

    /**
     * Gets the platform tool executable.
     *
     * @param toolName the tool platform independent tool name.
     * @return file representing the tool executable, or null if the tool can not be found
     */
    String findTool(String toolName);

Por ejemplo, si el cliente intenta enviar un parámetro query `tool` con un valor de `plumbus`, como:

```http
https://example.com/items/?limit=10&tool=plumbus
```

Recibirán un response de **error** que les indica que el parámetro query `tool` no está permitido:

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",

For example, if the client tries to send a `tool` query parameter with a value of `plumbus`, like:

```http
https://example.com/items/?limit=10&tool=plumbus
```

They will receive an **error** response telling them that the query parameter `tool` is not allowed:

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],

# All required CUDA packages
cuda-compat-12-1
cuda-command-line-tools-12-1
cuda-cudart-dev-12-1
cuda-nvcc-12-1
cuda-cupti-12-1
cuda-nvprune-12-1
cuda-libraries-12-1
cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

7.4.1

 * https, etc.) of the URL, not the protocol (http/1.1, spdy/3.1, etc.). OkHttp uses the word
 * *protocol* to identify how HTTP messages are framed.
 *
 * [ietf_alpn]: http://tools.ietf.org/html/draft-ietf-tls-applayerprotoneg
 */
enum class Protocol(
  private val protocol: String,
) {
  /**
   * An obsolete plaintext framing that does not use persistent sockets by default.
   */

<manifest xmlns:android="http://schemas.android.com/apk/res/android"
          xmlns:tools="http://schemas.android.com/tools" package="okhttp.android.testapp">

  <uses-permission android:name="android.permission.INTERNET" />

  <application
    android:allowBackup="true"
    android:label="@string/app_name"
    android:supportsRtl="true"
    android:name=".TestApplication"
  >
    <activity
      android:name=".MainActivity"

<manifest xmlns:android="http://schemas.android.com/apk/res/android" xmlns:tools="http://schemas.android.com/tools"
          package="okhttp.okhttp3">

  <uses-permission android:name="android.permission.INTERNET"/>

  <application>
    <provider
      android:name="androidx.startup.InitializationProvider"
      android:authorities="${applicationId}.androidx-startup"
      android:exported="false"
      tools:node="merge">