import org.gradle.api.tasks.Input;
import org.gradle.api.tasks.Internal;
import org.gradle.api.tasks.Optional;

/**
 * A transformation to remove the key/value of a given match. To help keep logic simple, an empty match object will be left behind
 * if/when the only key/value is removed.
 */
public class RemoveMatch implements RestTestTransformByParentObject {
    private final String removeKey;

TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/"
TFCI_ARTIFACT_STAGING_GCS_ENABLE=1
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/nightly/$(git rev-parse HEAD)/"

# 2. The internal version numbers get changed
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1

# 3. Push results to public build cache (unique cache for MacOS)
if [[ $(uname -s) == "Darwin" ]]; then

For security vulnerabilities please only send reports to ******@****.***.
See https://www.elastic.co/community/security for more information.

Please fill in the following details to help us reproduce the bug:
-->

**Elasticsearch version** (`bin/elasticsearch --version`):

**Plugins installed**: []

**JVM version** (`java -version`):

**OS version** (`uname -a` if on a Unix-like system):

它把使用 FastAPI 開發應用的同樣**優秀的開發者體驗**，帶到將它們**部署**到雲端的過程中。🎉

FastAPI Cloud 是 *FastAPI and friends* 開源專案的主要贊助與資金提供者。✨

## 雲端供應商 - 贊助商 { #cloud-providers-sponsors }

其他一些雲端供應商也會 ✨ [**贊助 FastAPI**](../help-fastapi.md#sponsor-the-author) ✨。🙇

你也可以參考他們的指南並試用其服務：

* [Render](https://docs.render.com/deploy-fastapi?utm_source=deploydoc&utm_medium=referral&utm_campaign=fastapi)

它简化了**构建**、**部署**和**访问** API 的流程，几乎不费力。

它把使用 FastAPI 构建应用时相同的**开发者体验**带到了将应用**部署**到云上的过程。🎉

FastAPI Cloud 是 *FastAPI and friends* 开源项目的主要赞助方和资金提供者。✨

## 云服务商 - 赞助商 { #cloud-providers-sponsors }

还有一些云服务商也会 ✨ [**赞助 FastAPI**](../help-fastapi.md#sponsor-the-author) ✨。🙇

你也可以考虑按照他们的指南尝试他们的服务：

* [Render](https://docs.render.com/deploy-fastapi?utm_source=deploydoc&utm_medium=referral&utm_campaign=fastapi)

 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
 * hold the numerical gradient data at the end of the function.
 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,
                               absl::Span<AbstractTensorHandle* const> inputs,

        .build()
    client.newCall(request).execute().use {
      assertEquals(201, it.code)
    }

    request =
      Request
        .Builder()
        .url(endpointUrl)
        .head()
        .build()
    client.newCall(request).execute().use {
      assertEquals(204, it.code)
    }

    request =
      Request
        .Builder()
        .url(endpointUrl)

* Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático")
* Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo")
* callback hell: callback hell (do not translate to "infierno de callbacks")
* tip: Consejo (do not translate to "tip")
* check: Revisa (do not translate to "chequea" or "comprobación)

        final String head = result.substring(0, omitIdx);
        final String tail = result.substring(omitIdx + omitMarker.length());
        // Verify 60/40 ratio: head=289, tail=194
        assertEquals(289, head.length());
        assertEquals(194, tail.length());
        // Head should be ~60% of bodyBudget
        final double headRatio = (double) head.length() / (head.length() + tail.length());

  }

  @Override
  public int size() {
    return Ints.saturatedCast(size);
  }

  @Override
  public int count(@Nullable Object element) {
    // isActuallyE checks for null, but we check explicitly to help nullness checkers.
    if (element == null || !isActuallyE(element)) {
      return 0;
    }
    Enum<?> e = (Enum<?>) element;
    return counts[e.ordinal()];
  }

  // Modification Operations