// items is a list of schema objects.
  repeated Event items = 2;
}

// EventSeries contain information on series of events, i.e. thing that was/is happening
// continuously for some time. How often to update the EventSeries is up to the event reporters.
// The default event reporter in "k8s.io/client-go/tools/events/event_broadcaster.go" shows

      label: Description
      description: |
        What is the problem, question, or error?

        Write a short description telling me what you are doing, what you expect to happen, and what is currently happening.
      placeholder: |
        * Open the browser and call the endpoint `/`.
        * It returns a JSON with `{"Hello": "World"}`.
        * But I expected it to return `{"Hello": "Sara"}`.
    validations:

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package crypto

import (
	"errors"
	"fmt"
)

// Error is the generic type for any error happening during decrypting
// an object. It indicates that the object itself or its metadata was
// modified accidentally or maliciously.
type Error struct {
	msg   string
	cause error
}

  // items is a list of schema objects.
  repeated Event items = 2;
}

// EventSeries contain information on series of events, i.e. thing that was/is happening
// continuously for some time.
message EventSeries {
  // count is the number of occurrences in this series up to the last heartbeat time.
  optional int32 count = 1;

A denial of service caused by one model could bring down the entire server, but
we don't consider this as a vulnerability, given that models can exhaust
resources in many different ways and solutions exist to prevent this from
happening (e.g., rate limits, ACLs, monitors to restart broken servers).

### Model sharing

If the multitenant design allows sharing models, make sure that tenants and

The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks

Let's first just use the code and see how it works, and then we'll come back to understand what's happening.

## Create `main.py`

Copy the example in a file `main.py`:

=== "Python 3.9+"

    ```Python
    {!> ../../../docs_src/security/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

      } finally {
        // Important to null this out here - if we did *not* execute inline, we might still
        // run() on the same thread that called execute() - such as in a thread pool, and think
        // that it was happening inline. As a side benefit, avoids holding on to the Thread object
        // longer than necessary.
        submitting = null;
      }
    }

    @SuppressWarnings("ShortCircuitBoolean")
    @Override

 * striped.get(key1) != striped.get(key2)}; the elements might nevertheless be mapped to the same
 * lock. The lower the number of stripes, the higher the probability of this happening.
 *
 * <p>There are three flavors of this class: {@code Striped<Lock>}, {@code Striped<Semaphore>}, and
 * {@code Striped<ReadWriteLock>}. For each type, two implementations are offered: {@linkplain

This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**.

**Concurrency** and **parallelism** both relate to "different things happening more or less at the same time".

But the details between *concurrency* and *parallelism* are quite different.

To see the difference, imagine the following story about burgers:

### Concurrent Burgers