2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

                throw new DictionaryException("Failed to write: " + line, e);
            }
        }

        /**
         * Commits the changes to the dictionary file.
         * If there is a pending new item, it is written to the file.
         *
         * @return The committed item, or null if no item was committed.
         * @throws DictionaryException if an I/O error occurs.
         */

	}
}

func (z *erasureServerPools) decommissionInBackground(ctx context.Context, idx int) error {
	pool := z.serverPools[idx]
	z.poolMetaMutex.RLock()
	pending := z.poolMeta.PendingBuckets(idx)
	z.poolMetaMutex.RUnlock()

	for _, bucket := range pending {
		z.poolMetaMutex.RLock()
		isDecommissioned := z.poolMeta.isBucketDecommissioned(idx, bucket.String())
		z.poolMetaMutex.RUnlock()
		if isDecommissioned {

You could use it while developing your app to log the body and debug it, return it to the user, etc.

{* ../../docs_src/handling_errors/tutorial005.py hl[14] *}

Now try sending an invalid item like:

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

You will receive a response telling you that the data is invalid containing the received body:

    public void stopWatching(String directoryPath) {
        ChangeNotificationHandle handle = activeWatchers.remove(directoryPath);
        if (handle != null) {
            handle.setActive(false);
            // Cancel any pending notifications
            cancelNotification(handle);
            // Clean up failure count to prevent memory leak
            failureCounts.remove(directoryPath);
        }
    }

    /**

  /**
   * This method is called by {@link #stopAsync} when the service is still starting (i.e. {@link
   * #startAsync} has been called but {@link #notifyStarted} has not). Subclasses can override the
   * method to cancel pending work and then call {@link #notifyStopped} to stop the service.
   *
   * <p>This method should return promptly; prefer to do work on a different thread where it is

    class DoShareEnumValidation {

        static Stream<Arguments> invalidShareEnumCases() {
            return Stream.of(
                    // Missing trailing slash -> should complain about directory ending
                    Arguments.of("smb://server/share", "/share", true),
                    // Not a server root -> invalid list operation
                    Arguments.of("smb://server/share/", "/share/", false));
        }

        </field>
        <field>
          <name>version</name>
          <version>1.0.0+</version>
          <type>String</type>
          <description>The base version (i.e. ending in {@code -SNAPSHOT}) when this directory represents a "groupId/artifactId/version" for a SNAPSHOT.</description>
        </field>
        <field xdoc.separator="blank">
          <name>plugins</name>

}

// return URL for a listing pending multipart uploads.
func getListMultipartURL(endPoint, bucketName string) string {
	queryValue := url.Values{}
	queryValue.Set("uploads", "")
	return makeTestTargetURL(endPoint, bucketName, "", queryValue)
}

// return URL for listing pending multipart uploads with parameters.

        context.addHighlightedQuery(text);
        return QueryBuilders.wildcardQuery(urlField, queryString).boost(boost);
    }

    /**
     * Converts a term query ending with asterisk to a prefix query.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param termQuery the term query to convert