import org.codelibs.fess.opensearch.config.cbean.cq.RelatedQueryCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsRelatedQueryCQ;
import org.dbflute.cbean.ConditionQuery;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;

/**
 * @author ESFlute (using FreeGen)
 */
public class BsRelatedQueryCB extends EsAbstractConditionBean {

abstract class CacheMissMonitorBuildService : AbstractBuildScanInfoCollectingService() {
    private val cacheMiss: AtomicBoolean = AtomicBoolean(false)
    override val collectedInformation: Serializable = cacheMiss

    override fun action(taskPath: String, taskResult: TaskOperationResult) {
        if (taskResult is TaskSuccessResult && !taskResult.isFromCache && !taskResult.isUpToDate) {
            println("CACHE_MISS in task $taskPath")

首先导入 `BackgroundTasks` 并在 *路径操作函数* 中使用类型声明 `BackgroundTasks` 定义一个参数：

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[1,13] *}

**FastAPI** 会创建一个 `BackgroundTasks` 类型的对象并作为该参数传入。

## 创建一个任务函数 { #create-a-task-function }

创建要作为后台任务运行的函数。

它只是一个可以接收参数的标准函数。

它可以是 `async def` 或普通的 `def` 函数，**FastAPI** 知道如何正确处理。

在这种情况下，任务函数将写入一个文件（模拟发送电子邮件）。

由于写操作不使用 `async` 和 `await`，我们用普通的 `def` 定义函数：

mkdir -p "$TFCI_OUTPUT_DIR"

# In addition to dumping all script output to the terminal, place it into
# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".

 */

package com.google.common.testing;

import static com.google.common.truth.Truth.assertThat;

import com.google.common.base.CharMatcher;
import com.google.common.base.Equivalence;
import com.google.common.base.Function;
import com.google.common.base.Joiner;
import com.google.common.base.Predicate;
import com.google.common.base.Splitter;
import com.google.common.base.Ticker;
import com.google.common.collect.ArrayListMultimap;

And be compatible with all of them at the same time.

///

Create a utility function to hash a password coming from the user.

And another utility to verify if a received password matches the hash stored.

And another one to authenticate and return a user.

///

带 `yield` 的依赖项随着时间演进以覆盖不同用例并修复一些问题，下面是变更摘要。

### 带 `yield` 的依赖项与 `scope` { #dependencies-with-yield-and-scope }

在 0.121.0 版本中，FastAPI 为带 `yield` 的依赖项新增了 `Depends(scope="function")` 的支持。

使用 `Depends(scope="function")` 时，`yield` 之后的退出代码会在*路径操作函数*结束后、响应发送给客户端之前立即执行。

而当使用默认的 `Depends(scope="request")` 时，`yield` 之后的退出代码会在响应发送之后执行。

The MinIO server runs a key-derivation algorithm to generate the KEK using a pseudo-random function ([PRF](#prf)):
`KEK := PRF(EK, IV, context_values)` where:

// check for errors, but do not perform any combining of the results
// of child nodes. The final result row is returned after all rows are
// processed, and the `getAggregate` function is called.

func (e *AliasedExpression) evalNode(r Record, tableAlias string) (*Value, error) {
	return e.Expression.evalNode(r, tableAlias)
}

func (e *Expression) evalNode(r Record, tableAlias string) (*Value, error) {

    #  The handling type when undefined classification is found.
    #
    #   EXCEPTION - throws exception when found
    #   LOGGING   - logging only when found (exception if ReplaceSchema)
    #   ALLOWED   - no action
    #
    #; classificationUndefinedHandlingType = LOGGING
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -