* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

## Using `BackgroundTasks` { #using-backgroundtasks }

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

Unlike many projects on GitHub, the Go project does not use its bug tracker for general discussion or asking questions.
We only use our bug tracker for tracking bugs and tracking proposals going through the [Proposal Process](https://go.dev/s/proposal-process).

For asking questions, see:

* [The golang-nuts mailing list](https://groups.google.com/d/forum/golang-nuts)

* [The Go Forum](https://forum.golangbridge.org/), a web-based forum

Esto sigue siendo cierto.

Así que, para poder tener **múltiples procesos** al mismo tiempo, tiene que haber un **solo proceso escuchando en un puerto** que luego transmita la comunicación a cada worker process de alguna forma.

### Memoria por Proceso { #memory-per-process }

    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/header-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/header_param_models/tutorial001.py"]
)
try:
    for _ in range(3):
        try:
            response = httpx.get("http://localhost:8000/docs")

    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/request-form-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/request_form_models/tutorial001.py"]
)
try:
    for _ in range(3):
        try:
            response = httpx.get("http://localhost:8000/docs")

    // START SNIPPET: jar
    private static final String[] BINDINGS = {
        "process-resources",
                "org.apache.maven.plugins:maven-resources-plugin:" + RESOURCES_PLUGIN_VERSION + ":resources",
        "compile", "org.apache.maven.plugins:maven-compiler-plugin:" + COMPILER_PLUGIN_VERSION + ":compile",
        "process-test-resources",

    // START SNIPPET: war
    private static final String[] BINDINGS = {
        "process-resources",
                "org.apache.maven.plugins:maven-resources-plugin:" + RESOURCES_PLUGIN_VERSION + ":resources",
        "compile", "org.apache.maven.plugins:maven-compiler-plugin:" + COMPILER_PLUGIN_VERSION + ":compile",
        "process-test-resources",

```

## Canceling a decommission

Stop an on-going decommission in progress, mainly used in situations when the load may be too high and you may want to schedule the decommission at a later point in time.

`mc admin decommission cancel` without an argument, lists out any on-going decommission in progress.

```
λ mc admin decommission cancel alias/

import org.gradle.api.tasks.OutputDirectory
import org.gradle.api.tasks.TaskAction
import org.gradle.api.provider.Provider
import org.gradle.internal.os.OperatingSystem
import org.gradle.process.ExecOperations
import org.gradle.process.ExecResult
import java.io.File
import javax.inject.Inject
import org.gradle.work.DisableCachingByDefault

@DisableCachingByDefault(because = "Must not cache because it modifies global Android home")