Taking data from:

* The path as parameters.
* Headers.
* Cookies.
* etc.

And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.

But there are situations where you might need to access the `Request` object directly.

## Details about the `Request` object { #details-about-the-request-object }

     * @return The number of input documents.
     */
    public int getNumberOfInputDocs() {
        return numberOfInputDocs;
    }

    /**
     * Checks if there are any errors.
     * @return True if there are errors, false otherwise.
     */
    public boolean hasError() {
        return hasError;
    }

    /**
     * Returns the list of errors.
     * @return The list of errors.

There won't be yet a label for the language code, for example, if it was Bosnian, there wouldn't be a `lang-bs`. Before creating the label and adding it to the PR, create the GitHub Discussion:

- Click the left sidebar "VCS Roots" here and create a VCS root [here](https://builds.gradle.org/admin/editProject.html?projectId=Gradle&cameFromUrl=%2Fproject.html%3FprojectId%3DGradle%26tab%3DprojectOverview%26branch_Gradle_Master_Check%3Dmaster)
  - Suppose the VCS root you just create is `MyNewVcsRoot`. Set "default branch" to `myTestBranch` where your code exists.

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency when '--define framework_shared_object=false' is set.
This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF

# Security { #security }

There are many ways to handle security, authentication and authorization.

And it normally is a complex and "difficult" topic.

In many frameworks and systems just handling security and authentication takes a big amount of effort and code (in many cases it can be 50% or more of all the code written).

    }

    /**
     * Bind the handle
     *
     * @throws DcerpcException
     *            if there is a DCE/RPC protocol error
     * @throws IOException
     *            if there is an I/O error during binding
     */
    public void bind() throws DcerpcException, IOException {
        synchronized (this) {
            try {

# Advanced Dependencies { #advanced-dependencies }

## Parameterized dependencies { #parameterized-dependencies }

All the dependencies we have seen are a fixed function or class.

But there could be cases where you want to be able to set parameters on the dependency, without having to declare many different functions or classes.

Let's imagine that we want to have a dependency that checks if the query parameter `q` contains some fixed content.

Do you like **FastAPI**?

Would you like to help FastAPI, other users, and the author?

Or would you like to get help with **FastAPI**?

There are very simple ways to help (several involve just one or two clicks).

And there are several ways to get help too.

## Subscribe to the newsletter { #subscribe-to-the-newsletter }

But you can also declare multiple body parameters, e.g. `item` and `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}


In this case, **FastAPI** will notice that there is more than one body parameter in the function (there are two parameters that are Pydantic models).

So, it will then use the parameter names as keys (field names) in the body, and expect a body like:

```JSON
{
    "item": {