if !beDependedOn[rel.FieldSchema] {
							dep.Depends = append(dep.Depends, rel.FieldSchema)
						} else {
							fieldValue := reflect.New(rel.FieldSchema.ModelType).Interface()
							parseDependence(fieldValue, autoAdd)
						}
						parseDependence(joinValue, autoAdd)
					}(rel, reflect.New(rel.JoinTable.ModelType).Interface())
				}
			}
		}

		valuesMap[dep.Schema.Table] = dep

		if addToList {

ive;width:100%;padding-right:7.5px;padding-left:7.5px}.col{-ms-flex-preferred-size:0;flex-basis:0;-ms-flex-positive:1;flex-grow:1;max-width:100%}.row-cols-1>*{-ms-flex:0 0 100%;flex:0 0 100%;max-width:100%}.row-cols-2>*{-ms-flex:0 0 50%;flex:0 0 50%;max-width:50%}.row-cols-3>*{-ms-flex:0 0 33.333333%;flex:0 0 33.333333%;max-width:33.333333%}.row-cols-4>*{-ms-flex:0 0 25%;flex:0 0 25%;max-width:25%}.row-cols-5>*{-ms-flex:0 0 20%;flex:0 0 20%;max-width:20%}.row-cols-6>*{-ms-flex:0 0 16.666667%;flex:0...

Prometheus AlertManager is the component that manages sending, inhibition and silencing of the alerts generated from Prometheus. The AlertManager can be configured to send alerts to variety of receivers. Refer [Prometheus AlertManager receivers](https://prometheus.io/docs/alerting/latest/configuration/#receiver) for more details.

Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager

 */
package org.codelibs.fess.helper;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.BiFunction;
import java.util.regex.Matcher;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;

        assertNotNull(ex);
        assertTrue(ex instanceof SmbException);
        assertEquals(SmbException.getMessageByCode(errCode), ex.getMessage(), "message should reflect error code mapping");
        assertEquals(expectedStatus, ex.getNtStatus(), "status should map based on code");
        assertNull(ex.getCause(), "cause must be null for int constructor");

import com.google.common.annotations.J2ktIncompatible;
import com.google.common.collect.testing.IteratorTester;
import com.google.common.collect.testing.features.CollectionFeature;
import java.lang.reflect.Method;
import java.util.Iterator;
import java.util.List;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;
import org.junit.Ignore;

/**

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like Markdown can be
* Review in Google Docs is not as simple as a PR code review in GitHub

## Decision

pkg database/sql/driver, type RowsColumnTypeScanType interface, Columns() []string
pkg database/sql/driver, type RowsColumnTypeScanType interface, ColumnTypeScanType(int) reflect.Type
pkg database/sql/driver, type RowsColumnTypeScanType interface, Next([]Value) error
pkg database/sql/driver, type RowsNextResultSet interface { Close, Columns, HasNextResultSet, Next, NextResultSet }

import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;

import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.util.Properties;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;

import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;

import java.io.File;
import java.lang.reflect.Constructor;
import java.lang.reflect.InvocationTargetException;
import java.util.logging.Level;
import java.util.logging.Logger;

import org.codelibs.curl.Curl.Method;
import org.junit.Test;

public class CurlTest {