import org.codelibs.fess.opensearch.config.exentity.CrawlingInfoParam;
import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * The DBM of CrawlingInfoParam.
 *

 */
package org.codelibs.fess.mylasta.direction.sponsor;

import java.util.Locale;

import org.codelibs.fess.unit.UnitFessTestCase;
import org.dbflute.jdbc.ClassificationMeta;
import org.dbflute.optional.OptionalThing;
import org.lastaflute.db.dbflute.exception.ProvidedClassificationNotFoundException;

public class FessListedClassificationProviderTest extends UnitFessTestCase {

	}
	return canonicalizeETag(left) == canonicalizeETag(right)
}

// setPutObjHeaders sets all the necessary headers returned back
// upon a success Put/Copy/CompleteMultipart/Delete requests
// to activate delete only headers set delete as true
func setPutObjHeaders(w http.ResponseWriter, objInfo ObjectInfo, del bool, h http.Header) {
	// We must not use the http.Header().Set method here because some (broken)

	}
	return nil, BucketRemoteTargetNotFound{Bucket: bucket}
}

// Delete clears targets present for a bucket
func (sys *BucketTargetSys) Delete(bucket string) {
	sys.Lock()
	defer sys.Unlock()
	tgts, ok := sys.targetsMap[bucket]
	if !ok {
		return
	}
	for _, t := range tgts {
		delete(sys.arnRemotesMap, t.Arn)
	}
	delete(sys.targetsMap, bucket)
}

This will make `tags` be a list, although it doesn't declare the type of the elements of the list.

## List fields with type parameter { #list-fields-with-type-parameter }

But Python has a specific way to declare lists with internal types, or "type parameters":

### Import typing's `List` { #import-typings-list }

In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡

## Importe `Path`

Primeiro, importe `Path` de `fastapi`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_py310.py hl[1] *}

## Declare metadados

Você pode declarar todos os parâmetros da mesma maneira que na `Query`.

Por exemplo para declarar um valor de metadado `title` para o parâmetro de rota `item_id` você pode digitar:

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE components PUBLIC "-//DBFLUTE//DTD LastaDi 1.0//EN"
	"http://dbflute.org/meta/lastadi10.dtd">
<components namespace="fessCrawler">
	<include path="crawler/container.xml" />

	<component name="encodingHelper" class="org.codelibs.fess.crawler.helper.EncodingHelper">
		<postConstruct name="addEncodingMapping">
			<arg>"unicode"</arg>
			<arg>"UTF-16LE"</arg>
		</postConstruct>
	</component>

    }

    // If a bkp file exists, use it instead.
    if (fileSystem.exists(journalFileBackup)) {
      // If journal file also exists just delete backup file.
      if (fileSystem.exists(journalFile)) {
        fileSystem.delete(journalFileBackup)
      } else {
        fileSystem.atomicMove(journalFileBackup, journalFile)
      }
    }

@echo off

set ANT_OPTS=-Xmx512m

set DBFLUTE_HOME=..\mydbflute\dbflute-1.x

set MY_PROPERTIES_PATH=build.properties

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

{* ../../docs_src/path_params/tutorial005.py hl[16] *}