fetch-depth: 0
      - name: Update jdks.yaml
        uses: gradle/update-jdks-action@main
      - name: Create Pull Request
        uses: peter-evans/create-pull-request@v7
        with:
          signoff: true
          sign-commits: true
          commit-message: "Update jdks.yaml"
          add-paths: .teamcity/jdks.yaml
          title: "Update jdks.yaml"

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest

#
# To prepare an update for a new Go release,
# consult https://www.iana.org/time-zones for the latest versions,
# update CODE and DATA below, and then run
#
#	./update.bash -commit
#
# That will prepare the files and create the commit.
#
# To review such a commit (as the reviewer), use:
#
#	git codereview change NNNNNN   # CL number
#	cd lib/time
#	./update.bash
#

        ReleasedVersion(versionInfo.version, versionInfo.buildTime)
    }
}

tasks.register<UpdateAgpVersions>("updateAgpVersions") {
    comment = " Generated - Update by running `./gradlew updateAgpVersions`"
    minimumSupportedMinor = "7.3"
    propertiesFile = layout.projectDirectory.file("gradle/dependency-management/agp-versions.properties")

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

### Using Pydantic's `update` parameter

Now, you can create a copy of the existing model using `.model_copy()`, and pass the `update` parameter with a `dict` containing the data to update.

/// info

      checksum.update(bytes, off, len);
    }

    @Override
    @J2ObjCIncompatible
    protected void update(ByteBuffer b) {
      if (!ChecksumMethodHandles.updateByteBuffer(checksum, b)) {
        super.update(b);
      }
    }

    @Override
    public HashCode hash() {
      long value = checksum.getValue();
      if (bits == 32) {
        /*

////

//// tab | Python 3.8+

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

### Pydantics `update`-Parameter verwenden

Jetzt können Sie eine Kopie des existierenden Modells mittels `.model_copy()` erstellen, wobei Sie dem `update`-Parameter ein `dict` mit den zu ändernden Daten übergeben.

/// info

//// tab | 🐍 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)`:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="35"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

```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)`:

//// tab | Python 3.10+

```Python hl_lines="33"

	assert.NoError(t, err)

	// wait for an update events
	// total 3 update at before unlabel point: 1. init ns reconcile 2. ns label reconcile 3. pod annotation update
	mt.Assert(EventTotals.Name(), map[string]string{"type": "update"}, monitortest.AtLeast(4))

	waitForMockCalls()

	assertPodNotAnnotated(t, client, pod)

	// patch a test label to emulate a POD update event