/// info | "Informação"

Esta página lhe ensinará como usar **ambientes virtuais** e como eles funcionam.

Se você estiver pronto para adotar uma **ferramenta que gerencia tudo** para você (incluindo a instalação do Python), experimente <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">uv</a>.

///

## Criar um Projeto

Primeiro, crie um diretório para seu projeto.

* Fornecer diretamente 2 interfaces _web_ de documentação interativa.

---

Nós arranhamos apenas a superfície, mas você já tem idéia de como tudo funciona.

Experimente mudar a seguinte linha:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...de:

```Python
        ... "item_name": item.name ...
```

...para:

    per_day(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits"
    ),
    per_week(
        displayName = "Performance Experiment",
        timeout = 420,
        channel = "experiments"
    ),
    flakinessDetection(
        displayName = "Performance Test Flakiness Detection",
        timeout = 600,
        defaultBaselines = "flakiness-detection-commit",

        endpoint.
    *   Promoting `tf.data.experimental.RandomDataset` API to
        `tf.data.Dataset.random` and deprecating the experimental endpoint.
    *   Promoting `tf.data.experimental.scan` API to `tf.data.Dataset.scan` and
        deprecating the experimental endpoint.
    *   Promoting `tf.data.experimental.snapshot` API to
        `tf.data.Dataset.shapshot` and deprecating the experimental endpoint.

  /**
   * A map of contents pre-created before experiment starts to only measure map creation cost. The
   * implementation for the creation of contents is independent and could be different from that of
   * the map under test.
   */
  Map<Element, Element> contents;

  /** Map pre-created before experiment starts to only measure iteration cost during experiment. */
  Map<Element, Element> map;

[ {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 8
  } ]
}, {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 8
  } ]
}, {

    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_day" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
    "groups" : [ {

    ] + select({
        "//tensorflow:android": [
            "//tensorflow/c/experimental/stream_executor:stream_executor_hdrs",
            "//tensorflow/core:portable_tensorflow_lib_lite",
        ],
        "//conditions:default": [
            ":tf_tensor",
            "//tensorflow/c/experimental/stream_executor",
            "//tensorflow/c/experimental/stream_executor:stream_executor_internal",
            "//tensorflow/core:framework",

 * under the License.
 */
package org.apache.maven.api.services;

import java.io.Serial;

import org.apache.maven.api.annotations.Experimental;

/**
 * An artifact could not correctly being deployed.
 *
 * @since 4.0.0
 */
@Experimental
public class ArtifactDeployerException extends MavenException {

    /**
     *
     */
    @Serial

 * under the License.
 */
package org.apache.maven.api.services;

import java.io.Serial;

import org.apache.maven.api.annotations.Experimental;

/**
 * The Exception class thrown by {@link VersionParser}.
 *
 * @since 4.0.0
 */
@Experimental
public class VersionParserException extends MavenException {

    @Serial
    private static final long serialVersionUID = 1504740189114877333L;

    /**