defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   Copyright 2015 Docker, Inc.

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.

    /**
     * Get the allocation size of the file
     * @return the allocationSize
     */
    public final long getAllocationSize() {
        return this.allocationSize;
    }

    /**
     * Get the end of file position
     * @return the endOfFile
     */
    public final long getEndOfFile() {
        return this.endOfFile;
    }

    /**
     * {@inheritDoc}
     *

You can read more at the end of this page.

///

## `Field` additional arguments { #field-additional-arguments }

When using `Field()` with Pydantic models, you can also declare additional `examples`:

            // Should encode successfully at the beginning
            int encoded = context.encode(smallBuffer, 0);
            assertEquals(6, encoded);

            // Should handle encoding at the end of buffer correctly
            assertDoesNotThrow(() -> context.encode(smallBuffer, 4));
        }

        @Test
        @DisplayName("Should preserve data integrity through encode/decode cycle")

Você também pode usá-lo para gerar código automaticamente para clientes que se comunicam com sua API. Por exemplo, aplicativos front-end, móveis ou IoT.

## Recapitulando, passo a passo

### Passo 1: importe `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

    protected int majorVersion;

    /** The minor version number. */
    protected int minorVersion;

    /** The product version string. */
    protected String productVersion;

    /** The end-of-life timestamp for the application. */
    protected long eolTime;

    private short systemCpuPercent;

    private long systemCpuCheckTime;

    private long systemCpuCheckInterval = 1000L;

            Type2Message.writeUShort(truncatedMessage, 12, 0); // length
            Type2Message.writeUShort(truncatedMessage, 14, 0); // max length
            Type2Message.writeULong(truncatedMessage, 16, 48); // offset (past the end)
            // Set flags
            Type2Message.writeULong(truncatedMessage, 20, Type2Message.NTLMSSP_NEGOTIATE_UNICODE);
            // Challenge bytes would be at 24-31 but we're truncated

            // When & Then

        val schedules = mutableListOf(200.µs)

        override fun runOnce(): Long {
          if (schedules.isNotEmpty()) {
            redQueue.schedule(this, schedules.removeAt(0)) // Add it at the end also.
          }
          log += "scheduledTasks=${redQueue.scheduledTasks}"
          return -1L
        }
      }
    redQueue.schedule(task, 100.µs)

    redQueue.execute("task two", 200.µs) {

   *
   * <p>If this queue fits in the specified array with room to spare (i.e., the array has more
   * elements than this queue), the element in the array immediately following the end of the queue
   * is set to {@code null}.
   *
   * <p>Like the {@link #toArray()} method, this method acts as bridge between array-based and

FastAPI does several things internally with Pydantic to make sure that those same rules of class inheritance are not used for the returned data filtering, otherwise you could end up returning much more data than what you expected.

This way, you can get the best of both worlds: type annotations with **tooling support** and **data filtering**.

## See it in the docs { #see-it-in-the-docs }