*
   * <p>This is <i>not</i> the same as "all nodes reachable from {@code node} by following outgoing
   * edges". For that functionality, see {@link Graphs#reachableNodes(Graph, Object)}.
   *
   * <p>If {@code node} is removed from the network after this method is called, the {@code Set}
   * {@code view} returned by this method will be invalidated, and will throw {@code

        System.setProperty("java.version", "15.0.1");

        String[] args = new String[] { "8-:-Xms512m", // From Java 8 onwards
                "11-:-Xmx2g", // From Java 11 onwards
                "17-:-XX:+UseG1GC", // From Java 17 onwards
                "21-:-XX:+UseZGC" // From Java 21 onwards
        };

        String[] result = JvmUtil.filterJvmOptions(args);
        assertEquals(2, result.length);

    requestedHosts.clear()
  }

  /** Allocates and returns `count` fake IPv4 addresses like [255.0.0.100, 255.0.0.101].  */
  fun allocate(count: Int): List<InetAddress> {
    val from = nextAddress
    nextAddress += count
    return (from until nextAddress)
      .map {
        return@map InetAddress.getByAddress(
          Buffer().writeInt(it.toInt()).readByteArray(),
        )
      }
  }

**FastAPI** will take the Pydantic model from there, generate the JSON Schema, and put it in the correct place.

The correct place is:

* In the key `content`, that has as value another JSON object (`dict`) that contains:
    * A key with the media type, e.g. `application/json`, that contains as value another JSON object, that contains:
        * A key `schema`, that has as the value the JSON Schema from the model, here's the correct place.

 * <ul>
 *   <li>{@link #escapeXml(String)}: Escapes special characters in an XML string.</li>
 *   <li>{@link #stripInvalidXMLCharacters(String)}: Strips invalid XML characters from a string.</li>
 *   <li>{@link #getDataMap(AccessResultData)}: Parses XML content from {@link AccessResultData} and returns a map of the data.</li>
 * </ul>
 *
 * <h2>Usage Example:</h2>
 * <pre>
 * {@code

## Example upgrade { #example-upgrade }

Now modify the file `main.py` to receive a body from a `PUT` request.

Declare the body using standard Python types, thanks to Pydantic.

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float

	// clear the joins after query because preload need it
	if v, ok := db.Statement.Clauses["FROM"].Expression.(clause.From); ok {
		fromClause := db.Statement.Clauses["FROM"]
		fromClause.Expression = clause.From{Tables: v.Tables, Joins: utils.RTrimSlice(v.Joins, len(db.Statement.Joins))} // keep the original From Joins
		db.Statement.Clauses["FROM"] = fromClause
	}

/// note | Technical Details

You could also use `from starlette.requests import Request`.

**FastAPI** provides it directly just as a convenience for you, the developer. But it comes directly from Starlette.

    /**
     * Reads the next byte of data from the input stream.
     *
     * @return the next byte of data, or -1 if the end of the stream is reached
     * @throws IOException if an I/O error occurs
     */
    @Override
    public int read() throws IOException {
        return inputStream.read();
    }

    /**
     * Reads up to len bytes of data from the input stream into an array of bytes.
     *

        } catch (FileNotFoundException e) {
            throw new RepositoryMetadataReadException("Cannot read metadata from '" + mappingFile + "'", e);
        } catch (IOException | XMLStreamException e) {
            throw new RepositoryMetadataReadException(
                    "Cannot read metadata from '" + mappingFile + "': " + e.getMessage(), e);
        }
    }

    /**