private SmbTreeConnection newConn() {
        return new SmbTreeConnection(ctx) {
        };
    }

    @BeforeEach
    void setup() {
        when(ctx.getConfig()).thenReturn(config);
        // keep retries small for faster and deterministic tests
        when(config.getMaxRequestRetries()).thenReturn(2);
        when(config.isTraceResourceUsage()).thenReturn(false);
        // Mock credentials to avoid NullPointerException

The only difference is that **FastAPI**'s `HTTPException` accepts any JSON-able data for the `detail` field, while Starlette's `HTTPException` only accepts strings for it.

So, you can keep raising **FastAPI**'s `HTTPException` as normally in your code.

But when you register an exception handler, you should register it for Starlette's `HTTPException`.

        dataMap.put("url", "http://example.com/test");
        dataMap.put("doc_id", "existing-doc-id");

        indexUpdateCallback.store(paramMap, dataMap);

        // Should keep existing doc_id
        assertEquals("existing-doc-id", dataMap.get("doc_id"));
    }

    @Test
    public void test_concurrentStore() throws Exception {
        // Test thread safety

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

{* ../../docs_src/body_nested_models/tutorial009_py310.py hl[7] *}

/// tip

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

[tool.ruff.lint.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true

[tool.inline-snapshot]
# default-flags=["fix"]

stick, and held it out to the puppy; whereupon the puppy jumped
into the air off all its feet at once, with a yelp of delight,
and rushed at the stick, and made believe to worry it; then Alice
dodged behind a great thistle, to keep herself from being run
over; and the moment she appeared on the other side, the puppy
made another rush at the stick, and tumbled head over heels in
its hurry to get hold of it; then Alice, thinking it was very

   * example, we could compute the appropriate throttle time for an incoming request, and make the
   * calling thread wait for that time.
   *
   * The simplest way to maintain a rate of QPS is to keep the timestamp of the last granted
   * request, and ensure that (1/QPS) seconds have elapsed since then. For example, for a rate of
   * QPS=5 (5 tokens per second), if we ensure that a request isn't granted earlier than 200ms after

Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn.

### About `root_path` { #about-root-path }

Keep in mind that the server (Uvicorn) won't use that `root_path` for anything else than passing it to the app.

But if you go with your browser to [http://127.0.0.1:8000/app](http://127.0.0.1:8000/app) you will see the normal response:

      DerHeader(
        tagClass = DerHeader.TAG_CLASS_UNIVERSAL,
        tag = DerHeader.TAG_END_OF_CONTENTS,
        constructed = false,
        length = -1L,
      )
  }

  /** A source that keeps track of how many bytes it's consumed. */
  private class CountingSource(
    source: Source,
  ) : ForwardingSource(source) {
    var bytesRead = 0L

    override fun read(
      sink: Buffer,

///

And then the `admin_email` setting would be set to `"******@****.***"`.

The `app_name` would be `"ChimichangApp"`.

And the `items_per_user` would keep its default value of `50`.

## Settings in another module { #settings-in-another-module }