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cmd/update.go
// Check if we are in DCOS environment, return // deployment guide for update procedures. if IsDCOS() { return mesosDeploymentDoc } // Check if we are in kubernetes environment, return // deployment guide for update procedures. if IsKubernetes() { return kubernetesDeploymentDoc } // Check if we are docker environment, return docker update command if IsDocker() { // Construct release tag name.
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 18.7K bytes - Viewed (0) -
staging/src/k8s.io/apiserver/pkg/registry/rest/update.go
return allErrs, nil } // BeforeUpdate ensures that common operations for all resources are performed on update. It only returns // errors that can be converted to api.Status. It will invoke update validation with the provided existing // and updated objects. // It sets zero values only if the object does not have a zero value for the respective field.
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Sep 27 11:48:28 UTC 2022 - 11.8K bytes - Viewed (0) -
pkg/registry/apps/statefulset/storage/storage_test.go
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Apr 12 15:46:12 UTC 2023 - 14K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/dict/stemmeroverride/StemmerOverrideFile.java
try (StemmerOverrideUpdater updater = new StemmerOverrideUpdater(item)) { reload(updater); } } @Override public synchronized void update(final StemmerOverrideItem item) { try (StemmerOverrideUpdater updater = new StemmerOverrideUpdater(item)) { reload(updater); } } @Override
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 10.6K bytes - Viewed (0) -
pkg/registry/policy/poddisruptionbudget/storage/storage_test.go
minAvailable := intstr.FromInt32(8) update := policy.PodDisruptionBudget{ ObjectMeta: obtainedPdb.ObjectMeta, Spec: policy.PodDisruptionBudgetSpec{ MinAvailable: &minAvailable, }, Status: policy.PodDisruptionBudgetStatus{ ExpectedPods: 8, }, }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon May 01 07:17:45 UTC 2023 - 5.3K bytes - Viewed (0) -
releasenotes/notes/we-updates.yaml
apiVersion: release-notes/v2 kind: feature area: networking issue: - 27183 - 27151 - 27185 releaseNotes: - |
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue Sep 15 00:37:27 UTC 2020 - 208 bytes - Viewed (0) -
docs/em/docs/tutorial/body-updates.md
=== "🐍 3️⃣.1️⃣0️⃣ & 🔛" ```Python hl_lines="32" {!> ../../../docs_src/body_updates/tutorial002_py310.py!} ``` ### ⚙️ Pydantic `update` 🔢 🔜, 👆 💪 ✍ 📁 ♻ 🏷 ⚙️ `.copy()`, & 🚶♀️ `update` 🔢 ⏮️ `dict` ⚗ 💽 ℹ. 💖 `stored_item_model.copy(update=update_data)`: === "🐍 3️⃣.6️⃣ & 🔛" ```Python hl_lines="35" {!> ../../../docs_src/body_updates/tutorial002.py!} ```
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 4.6K bytes - Viewed (0) -
docs/zh/docs/tutorial/body-updates.md
然后再用它生成一个只含已设置(在请求中所发送)数据,且省略了默认值的 `dict`: ```Python hl_lines="34" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 使用 Pydantic 的 `update` 参数 接下来,用 `.copy()` 为已有模型创建调用 `update` 参数的副本,该参数为包含更新数据的 `dict`。 例如,`stored_item_model.copy(update=update_data)`: ```Python hl_lines="35" {!../../../docs_src/body_updates/tutorial002.py!} ``` ### 更新部分数据小结 简而言之,更新部分数据应:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 3.6K bytes - Viewed (0) -
docs/ru/docs/tutorial/body-updates.md
```Python hl_lines="34" {!> ../../../docs_src/body_updates/tutorial002.py!} ``` ### Использование параметра `update` в Pydantic Теперь можно создать копию существующей модели, используя `.copy()`, и передать параметр `update` с `dict`, содержащим данные для обновления. Например, `stored_item_model.copy(update=update_data)`: === "Python 3.10+" ```Python hl_lines="33"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Tue Jan 23 13:55:32 UTC 2024 - 8.2K bytes - Viewed (0) -
docs/en/docs/tutorial/body-updates.md
``` ### Partial updates recap In summary, to apply partial updates you would: * (Optionally) use `PATCH` instead of `PUT`. * Retrieve the stored data. * Put that data in a Pydantic model. * Generate a `dict` without default values from the input model (using `exclude_unset`).
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 5.6K bytes - Viewed (0)