},
            "invalid": {
                "summary": "Invalid data is rejected with an error",
                "value": {
                    "name": "Baz",
                    "price": "thirty five point four",
                },
            },
        },
    ),
):
    results = {"item_id": item_id, "item": item}

    try {
      long remainingNanos = unit.toNanos(timeout);
      long end = System.nanoTime() + remainingNanos;

      while (true) {
        try {
          // CountDownLatch treats negative timeouts just like zero.
          return latch.await(remainingNanos, NANOSECONDS);
        } catch (InterruptedException e) {
          interrupted = true;
          remainingNanos = end - System.nanoTime();
        }
      }

In this case, the database session would be held until the response is finished being sent, but if you don't use it, then it wouldn't be necessary to hold it.

Here's how it could look like:

{* ../../docs_src/dependencies/tutorial013_an_py310.py *}

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

Install MinIO either on Kubernetes or Distributed Linux.

Install MinIO on Kubernetes:

#### Identity information 

This is an inappropriate use of lazy types:

```groovy
class Example {
    Provider<String> getPath() {
        return project.provider(() -> path)
    }
}
```

Like above, this is an immutable part of the identity of the domain object and cannot be changed.

### Properties in entirely new classes

	"github.com/minio/minio/internal/logger"
	"github.com/minio/pkg/v3/env"
	"github.com/minio/pkg/v3/workers"
)

//go:generate msgp -file $GOFILE -unexported

// rebalanceStats contains per-pool rebalance statistics like number of objects,
// versions and bytes rebalanced out of a pool
type rebalanceStats struct {
	InitFreeSpace uint64 `json:"initFreeSpace" msg:"ifs"` // Pool free space at the start of rebalance

### Using Pydantic's `exclude_unset` parameter { #using-pydantics-exclude-unset-parameter }

If you want to receive partial updates, it's very useful to use the parameter `exclude_unset` in Pydantic's model's `.model_dump()`.

Like `item.model_dump(exclude_unset=True)`.

That would generate a `dict` with only the data that was set when creating the `item` model, excluding default values.

            for (;;) {
                try {
                    final String line = br.readLine();
                    if (line == null) {
                        break;
                    }
                    if (logger.isDebugEnabled()) {
                        logger.debug(line);
                    }
                    list.add(line);
                    if (list.size() > maxLineBuffer) {

    def create_person(person: PersonCreate) -> Any:
        db_person = Person.model_validate(person)
        return db_person

    client = TestClient(app)

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]

 */