import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@code ListMultimap} that supports deterministic iteration order for both
 * keys and values. The iteration order is preserved across non-distinct key values. For example,
 * for the following multimap definition:
 *
 * {@snippet :
 * Multimap<K, V> multimap = LinkedListMultimap.create();
 * multimap.put(key1, foo);
 * multimap.put(key2, bar);
 * multimap.put(key1, baz);
 * }

 *
 * <p>It is possible to configure a {@code RateLimiter} to have a warmup period during which time
 * the permits issued each second steadily increases until it hits the stable rate.
 *
 * <p>As an example, imagine that we have a list of tasks to execute, but we don't want to submit
 * more than 2 per second:
 *
 * {@snippet :
 * final RateLimiter rateLimiter = RateLimiter.create(2.0); // rate is "2 permits per second"

---> 100%
```

</div>

**Hinweis**: Stellen Sie sicher, dass Sie `"fastapi[standard]"` in Anführungszeichen setzen, damit es in allen Terminals funktioniert.

## Beispiel { #example }

### Erstellung { #create-it }

Erstellen Sie eine Datei `main.py` mit:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

    // 여기에 다른 내용이 더 있습니다
    "servers": [
        {
            "url": "/api/v1"
        },
        {
            "url": "https://stag.example.com",
            "description": "Staging environment"
        },
        {
            "url": "https://prod.example.com",
            "description": "Production environment"
        }
    ],
    "paths": {
            // 여기에 다른 내용이 더 있습니다
    }
}
```

   * specified supplier. The keys and values of the entries are the result of applying the provided
   * mapping functions to the input elements, accumulated in the encounter order of the stream.
   *
   * <p>Example:
   *
   * {@snippet :
   * static final ListMultimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     Stream.of("banana", "apple", "carrot", "asparagus", "cherry")
   *         .collect(
   *             toMultimap(

   * specified supplier. The keys and values of the entries are the result of applying the provided
   * mapping functions to the input elements, accumulated in the encounter order of the stream.
   *
   * <p>Example:
   *
   * {@snippet :
   * static final ListMultimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     Stream.of("banana", "apple", "carrot", "asparagus", "cherry")
   *         .collect(
   *             toMultimap(

  // Write {0, 1, 2, 3} as tensorflow::Example inputs.
  Tensor input(tensorflow::DT_STRING, TensorShape({4}));
  for (int64_t i = 0; i < input.NumElements(); ++i) {
    tensorflow::Example example;
    auto* feature_map = example.mutable_features()->mutable_feature();
    (*feature_map)["x"].mutable_float_list()->add_value(i);
    input.flat<tstring>()(i) = example.SerializeAsString();
  }

 *       Future} is "completed" even if it is cancelled while its underlying work continues on a
 *       thread, an RPC, etc. The {@code Future} is also "completed" if it fails "early" -- for
 *       example, if the deadline expires on a {@code Future} returned from {@link
 *       Futures#withTimeout} while the {@code Future} it wraps continues its underlying work. So

   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output
   * bit(j) about half the time
   *
   * <p>Funneling is pretty simple to detect. The key idea is to find example keys which
   * unequivocally demonstrate that funneling cannot be occurring. This is done bit-by-bit. For each
   * input bit(i) and output bit(j), two pairs of keys must be found with all bits identical except

    // 其他內容
    "servers": [
        {
            "url": "/api/v1"
        },
        {
            "url": "https://stag.example.com",
            "description": "Staging environment"
        },
        {
            "url": "https://prod.example.com",
            "description": "Production environment"
        }
    ],
    "paths": {
            // 其他內容
    }
}
```