priorityClassName: "" ## Set default rootUser, rootPassword ## AccessKey and secretKey is generated when not set ## Distributed MinIO ref: https://docs.minio.io/docs/distributed-minio-quickstart-guide ## rootUser: "" rootPassword: "" ## Use existing Secret that store following variables: ## ## | Chart var | .data.<key> in Secret | ## |:-------- ## | rootUser | rootUser | ## | rootPassword | rootPassword | ## ## All mentioned variables will be ignored in values file. ## .data.rootUser and .data.rootPassword are...

priorityClassName: "" ## Set default rootUser, rootPassword ## AccessKey and secretKey is generated when not set ## Distributed MinIO ref: https://docs.minio.io/docs/distributed-minio-quickstart-guide ## rootUser: "" rootPassword: "" ## Use existing Secret that store following variables: ## ## | Chart var | .data.<key> in Secret | ## |:-------- ## | rootUser | rootUser | ## | rootPassword | rootPassword | ## ## All mentioned variables will be ignored in values file. ## .data.rootUser and .data.rootPassword are...

priorityClassName: "" ## Set default rootUser, rootPassword ## AccessKey and secretKey is generated when not set ## Distributed MinIO ref: https://docs.minio.io/docs/distributed-minio-quickstart-guide ## rootUser: "" rootPassword: "" ## Use existing Secret that store following variables: ## ## | Chart var | .data.<key> in Secret | ## |:-------- ## | rootUser | rootUser | ## | rootPassword | rootPassword | ## ## All mentioned variables will be ignored in values file. ## .data.rootUser and .data.rootPassword are...

	}
	return versions, hdrVer, metaVer, buf, nil
}

// decodeVersions will decode a number of versions from a buffer
// and perform a callback for each version in order, newest first.
// Return errDoneForNow to stop processing and return nil.
// Any non-nil error is returned.
func decodeVersions(buf []byte, versions int, fn func(idx int, hdr, meta []byte) error) (err error) {
	var tHdr, tMeta []byte // Zero copy bytes

        .addHeader("Content-Type: text/plain")
        .body("STR;FFMJ2;Frankfurt;RTCM 2.1;1(1),3(19),16(59);0;GPS;GREF;DEU;50.12;8.68;0;1;GPSNet V2.10;none;N;N;560;Demo\nENDSOURCETABLE")
        .build(),
    )
    val response = getResponse(newRequest("/"))
    assertThat(response.code).isEqualTo(200)
    assertThat(response.message).isEqualTo("OK")
    assertContent(

   * {@snippet :
   * CharMatcher.anyOf("ab").trimFrom("abacatbab")
   * }
   *
   * ... returns {@code "cat"}.
   *
   * <p>Note that:
   *
   * {@snippet :
   * CharMatcher.inRange('\0', ' ').trimFrom(str)
   * }
   *
   * ... is equivalent to {@link String#trim()}.
   */
  public String trimFrom(CharSequence sequence) {
    int len = sequence.length();
    int first;
    int last;

    ss << "{";
    size_t i = 0;
    for (const auto& e : v) {
      if (i != 0) {
        ss << ", ";
      }
      ss << e.ToString();
      ++i;
    }
    ss << "}";
    return ss.str();
  }

  void VerifyFDefNodes(const tensorflow::FunctionDef& fdef,
                       const std::unordered_set<string>& nodes) {
    ASSERT_EQ(nodes.size(), fdef.node_def_size())

- github.com/fatih/color: [v1.7.0](https://github.com/fatih/color/tree/v1.7.0)
- github.com/go-gl/glfw: [e6da0ac](https://github.com/go-gl/glfw/tree/e6da0ac)
- github.com/go-logr/stdr: [v1.2.2](https://github.com/go-logr/stdr/tree/v1.2.2)
- github.com/google/martian: [v2.1.0+incompatible](https://github.com/google/martian/tree/v2.1.0)

pkg runtime, func StartTrace() error
pkg runtime, func StopTrace()
pkg runtime, type MemStats struct, GCCPUFraction float64
pkg runtime/trace, func Start(io.Writer) error
pkg runtime/trace, func Stop()
pkg strings, func Compare(string, string) int
pkg strings, func LastIndexByte(string, uint8) int
pkg strings, method (*Reader) Size() int64
pkg syscall (darwin-386), type SysProcAttr struct, Ctty int

        dispatches the best kernel implementation based on CPU vector
        architecture. To disable them, build with
        `--define=tensorflow_mkldnn_contraction_kernel=0`.
    *   `tf.linspace(start, stop, num)` now always uses "stop" as last value
        (for num > 1)
    *   Added top-k to precision and recall to keras metrics.
    *   Add a ragged size op and register it to the op dispatcher