*
 * [rfc_2045]: http://tools.ietf.org/html/rfc2045
 */
class MediaType internal constructor(
  internal val mediaType: String,
  /**
   * Returns the high-level media type, such as "text", "image", "audio", "video", or "application".
   */
  @get:JvmName("type") val type: String,
  /**
   * Returns a specific media subtype, such as "plain" or "png", "mpeg", "mp4" or "xml".
   */

createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==...

 | `7z`  | (7-Zip)     |
 | `xz`  | (LZMA)      |
 | `mp4` | (MP4)       |
 | `mkv` | (MKV media) |
 | `mov` | (MOV)       |

- Content-Types

 | `video/*`                |
 | `audio/*`                |
 | `application/zip`        |
 | `application/x-gzip`     |
 | `application/zip`        |
 | `application/x-bz2`      |
 | `application/x-compress` |
 | `application/x-xz`       |

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

	// Some standard content-types which we strictly dis-allow for compression.
	standardExcludeCompressContentTypes = []string{"video/*", "audio/*", "application/zip", "application/x-gzip", "application/x-zip-compressed", " application/x-compress", "application/x-spoon"}

	// AuthZ Plugin system.
	globalAuthZPlugin *polplugin.AuthZPlugin

    /** The key of the message: OGG Audio */
    public static final String LABELS_facet_filetype_ogg = "{labels.facet_filetype_ogg}";

    /** The key of the message: WAV Audio */
    public static final String LABELS_facet_filetype_wav = "{labels.facet_filetype_wav}";

    /** The key of the message: WebP Audio */

    assertEquals("application", newType.type());
    assertEquals("yams", newType.subtype());
  }

  public void testCreateAudioType() {
    MediaType newType = MediaType.createAudioType("yams");
    assertEquals("audio", newType.type());
    assertEquals("yams", newType.subtype());
  }

  public void testCreateFontType() {
    MediaType newType = MediaType.createFontType("yams");
    assertEquals("font", newType.type());

     * video/mpeg=mpeg<br>
     * video/mp4=mp4<br>
     * video/ogv=ogv<br>
     * video/quicktime=qt<br>
     * video/x-m4v=m4v<br>
     * audio/x-aif=aif<br>
     * audio/midi=midi<br>
     * audio/mpga=mpga<br>
     * audio/mp4=mp4a<br>
     * audio/ogg=oga<br>
     * audio/x-wav=wav<br>
     * image/webp=webp<br>
     * image/bmp=bmp<br>
     * image/x-icon=ico<br>
     * image/x-icon=ico<br>

---

Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão do Computador**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores (cores, processamento que normalmente exige alguma computação em todos esses pixels ao mesmo tempo)

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.