/// 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 [uv](https://github.com/astral-sh/uv).

///

## Criar um Projeto { #create-a-project }

Primeiro, crie um diretório para seu projeto.

import java.lang.annotation.RetentionPolicy;

/**
 * This annotation tags types that are part of an experimental API.
 * Classes or methods annotated with this annotation may be changed / removed without notice.
 *
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.CLASS)

        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;

Experimental properties MUST NOT be supplemented with command-line options.
They can always be passed via `-D` on the command line.
The feature should leave the experimental stage to receive a build option.

The difference between internal properties and experimental properties is the amount of publicity they are intended to receive.
If the intention is to gather user feedback on an early prototype, then the experimental property should be used.

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

#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/gradients/array_grad.h"
#include "tensorflow/c/experimental/gradients/math_grad.h"
#include "tensorflow/c/experimental/gradients/not_differentiable.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"
#include "tensorflow/c/experimental/ops/array_ops.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/tf_status_helper.h"

  - type: dropdown
    id: author-go-experience
    attributes:
      label: "Go Programming Experience"
      description: "Would you consider yourself a novice, intermediate, or experienced Go programmer?"
      options:
        - "Novice"
        - "Intermediate"
        - "Experienced"
      default: 1

  - type: input
    id: author-other-languages-experience
    attributes:

    ] + 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;

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

/**
 * A dependency exclusion.
 *
 * @since 4.0.0
 * @see DependencyCoordinates#getExclusions()
 */
@Experimental
public interface Exclusion {
    @Nullable
    String getGroupId();

    @Nullable
    String getArtifactId();