# [Include]
        # String columns may not be needed
        # to be set these condition-keys basically.
        #; GreaterThan = map:{}
        #; LessThan = map:{}
        #; GreaterEqual = map:{}
        #; LessEqual = map:{}

        # [Exclude]
        # Common columns of String type may not be needed
        # to be set these condition-keys basically.
        #; !NotEqual = map:{ $$ALL$$ = list:{ $$CommonColumn$$ } }

### Generic types with type parameters

There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

This is similar to the 200 HTTP status codes (from 200 to 299). Those "200" status codes mean that somehow there was a "success" in the request.

The status codes in the 400 range mean that there was an error from the client.

Remember all those **"404 Not Found"** errors (and jokes)?

## Use `HTTPException`

    <!-- These packages are duplicated in ide-native from ide, don't require a package-info.java in each place -->
    <suppress checks="JavadocPackage"
              files=".*[/\\]ide-native[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]plugins[/\\]ide[/\\]api[/\\][^/\\]+"/>

But in most cases, you will want to perform these steps only **once**.

So, you will want to have a **single process** to perform those **previous steps**, before starting the application.

```Python hl_lines="17"
{!> ../../docs_src/dependencies/tutorial006.py!}
```

////

These dependencies will be executed/solved the same way as normal dependencies. But their value (if they return any) won't be passed to your *path operation function*.

/// tip

Some editors check for unused function parameters, and show them as errors.

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that
have different security properties and provide different levels of confidence

 * of the experimental API.
 *
 * Do not use these APIs in modules that may be executed using a version of OkHttp different from
 * the version the module was compiled with.
 *
 * Do not use these APIs in published libraries.
 *
 * Do not use these APIs if you aren't willing to track changes to them.
 */
@MustBeDocumented
@Retention(value = AnnotationRetention.BINARY)

The OAuth2 specification defines "scopes" as a list of strings separated by spaces.

The content of each of these strings can have any format, but should not contain spaces.

These scopes represent "permissions".

In OpenAPI (e.g. the API docs), you can define "security schemes".

When one of these security schemes uses OAuth2, you can also declare and use scopes.

Each "scope" is just a string (without spaces).

      cache.getUnchecked(1);
      cache.getUnchecked(2);

      Set<Object> keys = cache.asMap().keySet();
      // We don't know whether these are still in the cache, so we can't assert on the return
      // values of these removes, but the cache should be empty after the removes, regardless.
      keys.remove(1);
      keys.remove(2);
      assertFalse(keys.remove(null));