}
		logger.Info("listAllIAMConfigItems took %.2fs with contents:\n%s", took.Seconds(), s.String())
	}

	// Loads things in the same order as `LoadIAMCache()`

	bootstrapTraceMsgFirstTime("loading policy documents")

	policyLoadStartTime := UTCNow()
	policiesList := listedConfigItems[policiesListKey]
	count := 32 // number of parallel IAM loaders
	for {
		if len(policiesList) < count {

    <alias type="application/vnd.ms-word"/>
    <_comment>Microsoft Word Document</_comment>
    <tika:link>http://en.wikipedia.org/wiki/.doc</tika:link>
    <tika:uti>com.microsoft.word.doc</tika:uti>
    <magic priority="50">
      <match value="Microsoft\ Word\ 6.0\ Document" type="string" offset="2080"/>
      <match value="Documento\ Microsoft\ Word\ 6" type="string" offset="2080"/>

		{"data/G_792/srv-tse/c/users/denis/documents/gestion!20locative/heritier/propri!E9taire/20190101_a2.03!20-!20m.!20heritier!20re!B4mi!20-!20proce!60s-verbal!20de!20livraison!20et!20de!20remise!20des!20cle!B4s!20acque!B4reurs!20-!204-!20livraison!20-!20lp!20promotion!20toulouse!20-!20encre!20et!20plume!20-!205!20de!B4c.!202019!20a!60!2012-49.pdf.ecc", errFileNameTooLong},
		{"data/G_792/srv-tse/c/users/denis/documents/gestionlocative.txt", nil},
	}

		err := iamOS.loadAllFromObjStore(ctx, newCache, firstTime)
		if err != nil {
			return err
		}
	} else {
		// Only non-object IAM store (i.e. only etcd backend).
		bootstrapTraceMsgFirstTime("loading policy documents")
		if err := store.loadPolicyDocs(ctx, newCache.iamPolicyDocsMap); err != nil {
			return err
		}

		// Sets default canned policies, if none are set.
		setDefaultCannedPolicies(newCache.iamPolicyDocsMap)

    }

    /**
     * Gets the base href from the document's BASE tag.
     *
     * @param document the document to extract base href from
     * @return the base href URL, or null if not found
     */
    protected String getBaseHref(final Document document) {
        try {
            final XPathNodes list = getXPathAPI().selectNodeList(document, "//BASE");
            if (list.size() > 0) {

    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.
    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:

            ReadingConverter readingConverter, Normalizer normalizer);

    /**
     * Parses a document and extracts suggest items based on the provided fields and converters.
     *
     * @param document The document to parse, represented as a map of field names to values.
     * @param fields The fields to extract from the document.
     * @param tagFieldNames The names of the fields that contain tags.

O **FastAPI** irá **extrair** os dados para **cada campo** dos **cookies** recebidos na requisição e lhe fornecer o modelo Pydantic que você definiu.

## Verifique os Documentos

Você pode ver os cookies definidos na IU dos documentos em `/docs`:

<div class="screenshot">
<img src="/img/tutorial/cookie-param-models/image01.png">
</div>

/// info | Informação

    document.querySelectorAll(".use-termynal").forEach(node => {
        node.style.display = "block";
        new Termynal(node, {
            lineDelay: 500
        });
    });
    const progressLiteralStart = "---> 100%";
    const promptLiteralStart = "$ ";
    const customPromptLiteralStart = "# ";
    const termynalActivateClass = "termy";
    let termynals = [];

    function createTermynals() {
        document

        String field = settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS)[0];

        Map<String, Object> document = new HashMap<>();
        document.put(field, "The persimmon is delicious");
        document.put("lang", "en");
        suggester.indexer().indexFromDocument(new Map[] { document });
        suggester.refresh();