* font/woff} to be the correct media type for WOFF, but this may be necessary in certain
   * situations for compatibility.
   *
   * @since 17.0
   */
  public static final MediaType WOFF = createConstant(APPLICATION_TYPE, "font-woff");

  /**
   * <a href="https://tools.ietf.org/html/rfc8081">RFC 8081</a> declares {@link #FONT_WOFF2

    validations:
      required: true

  - type: textarea
    attributes:
      label: Example
      description: >
        Please provide a [Short, Self Contained, Correct (Compilable), Example](http://sscce.org/)
        demonstrating the bug.
      render: java
    validations:
      required: true

  - type: textarea
    attributes:
      label: Expected Behavior

```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

     * else a dependency collection request will be done.
     *
     * @return the id of the path scope
     */
    String pathScope() default "";

    /**
     * The request type, in case the default one is not correct.
     * Valid values are {@code collect}, {@code flatten}, or {@code resolve}.
     *
     * @return the request type
     */
    String requestType() default "";

/// tip

Keep in mind that if you return a response directly instead of using the `Response` parameter, FastAPI will return it directly.

So, you will have to make sure your data is of the correct type. E.g. it is compatible with JSON, if you are returning a `JSONResponse`.

And also that you are not sending any data that should have been filtered by a `response_model`.

///

### More info { #more-info }

## About Starlette { #about-starlette }

You shouldn't pin the version of `starlette`.

Different versions of **FastAPI** will use a specific newer version of Starlette.

So, you can just let **FastAPI** use the correct Starlette version.

## About Pydantic { #about-pydantic }

Pydantic includes the tests for **FastAPI** with its own tests, so new versions of Pydantic (above `1.0.0`) are always compatible with FastAPI.

                val javaToolchains = project.the<JavaToolchainService>()
                // Groovy does not support the release flag. We must compile with the same
                // JDK we are targeting in order to see the correct standard lib classes
                // during compilation
                javaLauncher = javaToolchains.launcherFor {
                    languageVersion = targetJvmVersion.map { JavaLanguageVersion.of(it) }

///

Whenever a new request arrives, **FastAPI** will take care of:

* Calling your dependency ("dependable") function with the correct parameters.
* Get the result from your function.
* Assign that result to the parameter in your *path operation function*.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]

	if err != nil {
		t.Fatalf("Stat failed with %s expected to pass.", err)
	}

	// Get umask of the bits stored.
	currentUmask := 0o777 - uint32(st.Mode().Perm())

	// Verify if umask is correct.
	if int(currentUmask) != testCase.expectedUmask {
		t.Fatalf("Umask check failed expected %d, got %d", testCase.expectedUmask, currentUmask)
	}
}

// Tests if the file creations happen with proper umask.