* Add docs for: [Additional Status Codes](https://fastapi.tiangolo.com/advanced/additional-status-codes/). PR [#156](https://github.com/tiangolo/fastapi/pull/156).

## 0.14.0 (2019-04-12)

     * The value is, e.g. 404 <br>
     * comment: HTTP status codes considered as failure URLs.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCrawlerFailureUrlStatusCodes();

    /**
     * Get the value for the key 'crawler.failure.url.status.codes' as {@link Integer}. <br>

cpu.S390XHasSHA3 func init() { // CP Assist for Cryptographic Functions (CPACF) impl.Register("sha3", "CPACF", &useSHA3) } func keccakF1600(a *[200]byte) { keccakF1600Generic(a) } // codes represent 7-bit KIMD/KLMD function codes as defined in // the Principles of Operation. type code uint64 const ( // Function codes for KIMD/KLMD, from Figure 7-207. sha3_224 code = 32 sha3_256 code = 33 sha3_384 code = 34 sha3_512 code = 35 shake_128 code = 36 shake_256 code = 37 nopad = 0x100 ) // kimd is a wrapper...

cpu.S390XHasSHA3 func init() { // CP Assist for Cryptographic Functions (CPACF) impl.Register("sha3", "CPACF", &useSHA3) } func keccakF1600(a *[200]byte) { keccakF1600Generic(a) } // codes represent 7-bit KIMD/KLMD function codes as defined in // the Principles of Operation. type code uint64 const ( // Function codes for KIMD/KLMD, from Figure 7-207. sha3_224 code = 32 sha3_256 code = 33 sha3_384 code = 34 sha3_512 code = 35 shake_128 code = 36 shake_256 code = 37 nopad = 0x100 ) // kimd is a wrapper...

- Service load balancers no longer exclude nodes marked unschedulable from the candidate nodes. The service load balancer exclusion label should be used instead.
  

*   `tf.saved_model.SaveOptions`

    * `SaveOptions` now takes a new argument called
      `experimental_debug_stripper`. When enabled, this strips the debug nodes
      from both the node defs and the function defs of the graph. Note that
      this currently only strips the `Assert` nodes from the graph and
      converts them into `NoOp`s instead.

*   `tf.data`

    * `tf.data` now has an `autotune_options.initial_parallelism` option to