*/
package okhttp3.survey

import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId

/**
 * Organizes information on SSL cipher suite inclusion and precedence for this spreadsheet.
 * https://docs.google.com/spreadsheets/d/1C3FdZSlCBq_-qrVwG1KDIzNIB3Hyg_rKAcgmSzOsHyQ/edit#gid=0
 */
class CipherSuiteSurvey(
  val clients: List<Client>,
  val ianaSuites: IanaSuites,
  val orderBy: List<SuiteId>,
) {

Committer's Guides
------------------

 * [Concurrency][concurrency]
 * [Debug Logging][debug_logging]
 * [Releasing][releasing]

 [cla]: https://spreadsheets.google.com/spreadsheet/viewform?formkey=dDViT2xzUHAwRkI3X3k5Z0lQM091OGc6MQ&ndplr=1
 [concurrency]: https://square.github.io/okhttp/concurrency/
 [debug_logging]: https://square.github.io/okhttp/debug_logging/

Committer's Guides
------------------

 * [Concurrency][concurrency]
 * [Debug Logging][debug_logging]
 * [Releasing][releasing]

 [cla]: https://spreadsheets.google.com/spreadsheet/viewform?formkey=dDViT2xzUHAwRkI3X3k5Z0lQM091OGc6MQ&ndplr=1
 [concurrency]: https://square.github.io/okhttp/concurrency/
 [debug_logging]: https://square.github.io/okhttp/debug_logging/

        extensionMap.put("doc", "txt");
        extensionMap.put("docx", "txt");
        extensionMap.put("wpd", "txt");
        extensionMap.put("txt", "txt");
        extensionMap.put("html", "txt");
        // Spreadsheet Formats
        extensionMap.put("ods", "tsv");
        extensionMap.put("ots", "tsv");
        extensionMap.put("sxc", "tsv");
        extensionMap.put("xls", "tsv");
        extensionMap.put("xlsx", "tsv");

   * A builder for creating immutable table instances, especially {@code public static final} tables
   * ("constant tables"). Example:
   *
   * <pre>{@code
   * static final ImmutableTable<Integer, Character, String> SPREADSHEET =
   *     new ImmutableTable.Builder<Integer, Character, String>()
   *         .put(1, 'A', "foo")
   *         .put(1, 'B', "bar")
   *         .put(2, 'A', "baz")
   *         .buildOrThrow();
   * }</pre>

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

  <mime-type type="application/vnd.oasis.opendocument.spreadsheet">
    <alias type="application/x-vnd.oasis.opendocument.spreadsheet"/>
    <_comment>OpenDocument v1.0: Spreadsheet document</_comment>
    <magic>
      <match type="string" offset="0" value="PK">
        <match type="string" offset="30"
               value="mimetypeapplication/vnd.oasis.opendocument.spreadsheet"/>
      </match>
    </magic>

  public static final MediaType OPENDOCUMENT_SPREADSHEET =
      createConstant(APPLICATION_TYPE, "vnd.oasis.opendocument.spreadsheet");
  public static final MediaType OPENDOCUMENT_TEXT =
      createConstant(APPLICATION_TYPE, "vnd.oasis.opendocument.text");

  /**
   * <a href="https://tools.ietf.org/id/draft-ellermann-opensearch-01.html">OpenSearch</a>

labels.facet_filetype_html=HTML
labels.facet_filetype_word=MS Word
labels.facet_filetype_excel=MS Excel
labels.facet_filetype_powerpoint=MS PowerPoint
labels.facet_filetype_odt=ODF Word
labels.facet_filetype_ods=ODF Spreadsheet
labels.facet_filetype_odp=ODF Presentation
labels.facet_filetype_pdf=PDF
labels.facet_filetype_fb2=FictionBook
labels.facet_filetype_epub=EPUB
labels.facet_filetype_ibooks=iBooks

labels.facet_filetype_html=HTML
labels.facet_filetype_word=MS Word
labels.facet_filetype_excel=MS Excel
labels.facet_filetype_powerpoint=MS PowerPoint
labels.facet_filetype_odt=ODF Word
labels.facet_filetype_ods=ODF Spreadsheet
labels.facet_filetype_odp=ODF Presentation
labels.facet_filetype_pdf=PDF
labels.facet_filetype_fb2=FictionBook
labels.facet_filetype_epub=EPUB
labels.facet_filetype_ibooks=iBooks