* slowing down building documentation.
 *
 * All this would be so much simpler if the Kotlin extensions to the Gradle API
 * were generated at build time instead.
 *
 * This is a first step to get the doc to be complete and will be revisited.
 */
@CacheableTask
public abstract class GradleKotlinDslRuntimeGeneratedSources extends DefaultTask {

    @Classpath

        if (c < n) {
          if (delta == Int.MAX_VALUE) return false // Prevent overflow.
          delta++
        } else if (c == n) {
          var q = delta

          for (k in BASE until Int.MAX_VALUE step BASE) {
            val t =
              when {
                k <= bias -> TMIN
                k >= bias + TMAX -> TMAX
                else -> k - bias
              }
            if (q < t) break

                return "dependency collection for " + request;
            } else if (data instanceof CollectStepData stepData) {
                String msg = "dependency collection step for " + stepData.getContext();
                if (detailed) {
                    msg += ". Path to offending node from root:\n";
                    msg += stepData.getPath().stream()

In an advanced scenario where you know you need the dependency to be called at every step (possibly multiple times) in the same request instead of using the "cached" value, you can set the parameter `use_cache=False` when using `Depends`:

//// tab | Python 3.9+

```Python hl_lines="1"

This could be useful if for example you live in a country that restricts some URLs.

### Disable the automatic docs { #disable-the-automatic-docs }

The first step is to disable the automatic docs, as by default, those use the default CDN.

To disable them, set their URLs to `None` when creating your `FastAPI` app:

{* ../../docs_src/custom_docs_ui/tutorial001_py39.py hl[8] *}

# How to configure Prometheus AlertManager

Alerting with prometheus is two step process. First we setup alerts in Prometheus server and then we need to send alerts to the AlertManager.

- **Language + Region**: `fess_label_pt_BR.properties`, `fess_label_zh_CN.properties`, `fess_label_zh_TW.properties`
- **Special cases**: Kurdish uses `fess_label_ckb_IQ.properties`

## Step-by-Step Guide

### 1. Create Language Resource Files

Copy the base English files as templates:

```bash
cd src/main/resources

# Copy label file (~1,056 translation entries)

		//    successfully acquiring the lock.
		// 2) lk2 then needs to advance and remove the resource from lockMap.
		// 3) lk3 or lk4 (whichever didn't execute in step 1) then executes and creates
		//    a new entry in lockMap and acquires a lock for the same resource.

		<-lk2ch
		lk3ok := <-lk3ch
		lk4ok := <-lk4ch

		if lk3ok && lk4ok {

  - If there are any errors, read the error and fix your code.
  - IMPORTANT NOTE: if the first import fails, you have to select and apply `Synchronization disabled`, then repeat the step above.
    Otherwise, TeamCity complains "Can't find the previous revision, please commit current settings first".

    init: GradleBuildStep.() -> Unit,
    custom: GradleBuildStep.() -> Unit,
): GradleBuildStep =
    GradleBuildStep(init)
        .apply(custom)
        .also {
            step(it)
        }

/**
 * Adds a [Gradle build step](https://confluence.jetbrains.com/display/TCDL/Gradle)
 * that runs with the Gradle wrapper.
 *
 * @see GradleBuildStep
 */
fun BuildSteps.gradleWrapper(
    buildType: BuildType? = null,