| `minio_node_io_read_bytes`                 | Total bytes read by the process from the underlying storage system, /proc/[pid]/io read_bytes.                  |
| `minio_node_io_wchar_bytes`                | Total bytes written by the process to the underlying storage system including page cache, /proc/[pid]/io wchar. |

				})
		}

		if io.RChar > 0 {
			metrics = append(metrics,
				MetricV2{
					Description: getMinioProcessIOReadCachedBytesMD(),
					Value:       float64(io.RChar),
				})
		}

		if io.WChar > 0 {
			metrics = append(metrics,
				MetricV2{
					Description: getMinioProcessIOWriteCachedBytesMD(),
					Value:       float64(io.WChar),
				})
		}

          "expr": "rate(minio_node_io_wchar_bytes{job=~\"$scrape_jobs\"}[$__rate_interval])",
          "interval": "",
          "legendFormat": "Node WChar [{{server}}]",
          "refId": "B"
        }
      ],
      "title": "Read, Write I/O",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {

  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);

  if (status->status.ok()) {
    char* buf = new char[new_handle.size() + 1];
    memcpy(buf, new_handle.c_str(), new_handle.size() + 1);
    *handle = buf;
  }
}

void TF_PRun(TF_DeprecatedSession* s, const char* handle,
             // Input tensors
             const char** c_input_names, TF_Tensor** c_inputs, int ninputs,
             // Output tensors

                      nullptr);
}

TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) {
  int64_t num_values = 1;
  for (int i = 0; i < num_dims; ++i) {
    num_values *= dims[i];
  }
  TF_Tensor* t =
      TF_AllocateTensor(TF_INT8, dims, num_dims, sizeof(char) * num_values);
  memcpy(TF_TensorData(t), values, sizeof(char) * num_values);
  return t;
}

TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,

    @Deprecated
    public static final char SET_SYSTEM_PROPERTY = SET_USER_PROPERTY;

    public static final char OFFLINE = 'o';

    public static final char QUIET = 'q';

    public static final char VERBOSE = 'X';

    public static final char ERRORS = 'e';

    public static final char HELP = 'h';

    public static final char VERSION = 'v';

    public static final char SHOW_VERSION = 'V';

package org.gradle.kotlin.dsl.internal.sharedruntime.codegen


val primitiveTypeStrings =
    mapOf(
        "java.lang.Object" to "Any",
        "java.lang.String" to "String",
        "java.lang.Character" to "Char",
        "char" to "Char",
        "java.lang.Boolean" to "Boolean",
        "boolean" to "Boolean",
        "java.lang.Byte" to "Byte",
        "byte" to "Byte",
        "java.lang.Short" to "Short",
        "short" to "Short",

    private static final String COMMENT_CHARS = "#!";

    /** The list of possible key/value separators */
    private static final char[] SEPARATORS = new char[] {'=', ':'};

    /** The white space characters used as key/value separators. */
    private static final char[] WHITE_SPACE = new char[] {' ', '\t', '\f'};

    /**
     * Unless standard java props, use UTF-8
     */

    private static final String COMMENT_CHARS = "#!";

    /** The list of possible key/value separators */
    private static final char[] SEPARATORS = new char[] {'=', ':'};

    /** The white space characters used as key/value separators. */
    private static final char[] WHITE_SPACE = new char[] {' ', '\t', '\f'};

    /**
     * Unless standard java props, use UTF-8
     */