# _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
# you can define your messages here:
# e.g.
# errors.xxx = ...
# info.xxx = ...
# _/_/_/_/_/_/_/_/_/_/
# ========================================================================================
# Fess
# ======
errors.login_error = Geçersiz kullanıcı adı veya şifre.

Pour déclarer un corps de **requête**, on utilise les modèles de <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> en profitant de tous leurs avantages et fonctionnalités.

/// info

Pour envoyer de la donnée, vous devriez utiliser : `POST` (le plus populaire), `PUT`, `DELETE` ou `PATCH`.

To declare a **request** body, you use <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> models with all their power and benefits.

/// info

To send data, you should use one of: `POST` (the more common), `PUT`, `DELETE` or `PATCH`.

  pymdownx.tilde: null
  pymdownx.blocks.admonition:
    types:
    - note
    - attention
    - caution
    - danger
    - error
    - tip
    - hint
    - warning
    - info
    - check
  pymdownx.blocks.details: null
  pymdownx.blocks.tab:
    alternate_style: true
  mdx_include: null
  markdown_include_variants: null
extra:
  social:

Quick reference for AI assistants working on the Fess Crawler project.

## Project Overview

**Fess Crawler** is a Java-based web crawling framework for enterprise content extraction.

### Essential Info

- **Language**: Java 21+
- **Build**: Maven 3.x
- **License**: Apache 2.0
- **DI**: LastaFlute DI
- **Repo**: https://github.com/codelibs/fess-crawler

### Tech Stack

package jcifs.internal.smb2.info;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;

import java.nio.charset.StandardCharsets;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;

Aquí tienes una idea general de cómo podrían ser los modelos con sus campos de contraseña y los lugares donde se utilizan:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

		}
	}

	return nil
}

func (r *Config) updateUserinfoClaims(ctx context.Context, arn arn.ARN, accessToken string, claims map[string]any) error {
	pCfg, ok := r.arnProviderCfgsMap[arn]
	// If claim user info is enabled, get claims from userInfo
	// and overwrite them with the claims from JWT.
	if ok && pCfg.ClaimUserinfo {
		if accessToken == "" {
			return errors.New("access_token is mandatory if user_info claim is enabled")

                return null;
            }
            final String requestsPerSecond = String.valueOf(fessConfig.getIndexReindexSizeAsInteger() * fessConfig.availableProcessors());
            logger.info("Set requests_per_second: value={}", requestsPerSecond);
            return requestsPerSecond;
        }
        return value;
    }

    /**
     * Creates a new index with default settings.
     *

import org.dbflute.cbean.coption.ConditionOption;
import org.dbflute.cbean.coption.ParameterOption;
import org.dbflute.cbean.cvalue.ConditionValue;
import org.dbflute.cbean.sqlclause.SqlClause;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.name.ColumnRealName;
import org.dbflute.dbmeta.name.ColumnSqlName;
import org.dbflute.exception.InvalidQueryRegisteredException;
import org.dbflute.util.Srl;