# Modelos Extra { #extra-models }

Continuando con el ejemplo anterior, será común tener más de un modelo relacionado.

Esto es especialmente el caso para los modelos de usuario, porque:

* El **modelo de entrada** necesita poder tener una contraseña.
* El **modelo de salida** no debería tener una contraseña.
* El **modelo de base de datos** probablemente necesitaría tener una contraseña hasheada.

/// danger | Peligro

		</get>
		<unzip dest="${modules.dir}/${module.name}" src="${target.dir}/${module.name.prefix}${module.name}-${module.zip.version}.zip">
			<patternset>
				<include name="**" />
			</patternset>
			<cutdirsmapper dirs="1" />
		</unzip>
	</target>

	<target name="remove.jars" if="with.fess">
		<delete>

                    }
                },
                "/response_model_model1-annotation_model2-return_same_model": {
                    "get": {
                        "summary": "Response Model Model1 Annotation Model2 Return Same Model",
                        "operationId": "response_model_model1_annotation_model2_return_same_model_response_model_model1_annotation_model2_return_same_model_get",
                        "responses": {

{
  "formatVersion": "1.1",
  "component": {
    "group": "${pom.groupId}",
    "module": "${pom.artifactId}",
    "version": "${pom.version}",
    "attributes": {
      "org.gradle.status": "${module.status}"
    }
  },
  "createdBy": {
    "maven": {
      "version": "${maven.version}",
      "buildId": "${maven.build.version}"
    }
  },
  "variants": [
    {
      "name": "${variant.jvmEnvironmentVariantName}ApiElements",

Declare os **parâmetros de consulta** que você precisa em um **modelo Pydantic**, e então declare o parâmetro como `Query`:

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

O **FastAPI** **extrairá** os dados para **cada campo** dos **parâmetros de consulta** presentes na requisição, e fornecerá o modelo Pydantic que você definiu.

# OpenAPI `models`

OpenAPI Pydantic models used to generate and validate the generated OpenAPI.

# Module okhttp-logging-interceptor

# Module okhttp-tls

"""Experimental Bzlmod support for TensorFlow"""

module(
    name = "tensorflow",
    repo_name = "org_tensorflow",
)

bazel_dep(name = "bazel_features", version = "1.36.0")
bazel_dep(name = "abseil-cpp", version = "20250814.1", repo_name = "com_google_absl")
single_version_override(
    module_name = "abseil-cpp",
    patch_strip = 1,
    patches = [
        "//third_party/absl:build_dll.patch",
        "//third_party/absl:endian.patch",

# Extra Models { #extra-models }

Continuing with the previous example, it will be common to have more than one related model.

This is especially the case for user models, because:

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

/// danger