import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A mutable class-to-instance map backed by an arbitrary user-provided map. See also {@link
 * ImmutableClassToInstanceMap}.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/NewCollectionTypesExplained#classtoinstancemap">{@code
 * ClassToInstanceMap}</a>.
 *

            else -> {
                profilerParam("async-profiler")
                param("env.FG_HOME_DIR", "/opt/FlameGraph")
                param("env.PATH", "%env.PATH%:/opt/swift/4.2.3/usr/bin:/opt/swift/4.2.4-RELEASE-ubuntu18.04/usr/bin")
                param("env.HP_HOME_DIR", "/opt/honest-profiler")
            }
        }

        param("env.PERFORMANCE_DB_PASSWORD_TCAGENT", "%performance.db.password.tcagent%")

It would also mean that if you get data from the `Request` object directly (for example, read the body) it won't be validated, converted or documented (with OpenAPI, for the automatic API user interface) by FastAPI.

Although any other parameter declared normally (for example, the body with a Pydantic model) would still be validated, converted, annotated, etc.

# Códigos de status adicionais

Por padrão, o **FastAPI** retornará as respostas utilizando o `JSONResponse`, adicionando o conteúdo do retorno da sua *operação de caminho* dentro do `JSONResponse`.

Ele usará o código de status padrão ou o que você definir na sua *operação de caminho*.

## Códigos de status adicionais

If you needed to, you could use settings and environment variables to configure OpenAPI conditionally depending on the environment, and even disable it entirely.

## About security, APIs, and docs

Hiding your documentation user interfaces in production *shouldn't* be the way to protect your API.

That doesn't add any extra security to your API, the *path operations* will still be available where they are.

  # A local firewall rule for the container is added in
  # ci/official/utilities/setup_docker.sh.
else
  # The volume mapping flag below shares the user's gcloud credentials, if any,
  # with the container, in case the user has credentials stored there.
  # This would allow Bazel to authenticate for RBE.
  # Note: TF's CI does not have any credentials stored there.
  TFCI_DOCKER_ARGS="$TFCI_DOCKER_ARGS -v $HOME/.config/gcloud:/root/.config/gcloud"

                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"HTTPBasic": []}],
                }
            }
        },
        "components": {

        boolQueryBuilder.mustNot(QueryBuilders.termQuery(FieldNames.KINDS, SuggestItem.Kind.QUERY.toString()));
        boolQueryBuilder.mustNot(QueryBuilders.termQuery(FieldNames.KINDS, SuggestItem.Kind.USER.toString()));

        SuggestUtil.deleteByQuery(ComponentUtil.getSearchEngineClient(), suggester.settings(), suggester.getIndex(), boolQueryBuilder);
    }

from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can

 */
package org.codelibs.fess.helper;

import org.lastaflute.web.util.LaRequestUtil;

public class UserAgentHelper {
    protected static final String USER_AGENT = "user-agent";

    protected static final String USER_AGENT_TYPE = "ViewHelper.UserAgent";

    public UserAgentType getUserAgentType() {
        return LaRequestUtil.getOptionalRequest().map(request -> {