}

	ts := cpuMetrics.TimesStat
	tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
	cpuUserVal := math.Round(ts.User/tot*100*100) / 100
	m.Set(sysCPUUser, cpuUserVal)
	cpuSystemVal := math.Round(ts.System/tot*100*100) / 100
	m.Set(sysCPUSystem, cpuSystemVal)
	cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100
	m.Set(sysCPUNice, cpuNiceVal)
	cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100

	// cpu stats
	cpuUser       MetricName = "user"
	cpuSystem     MetricName = "system"
	cpuIOWait     MetricName = "iowait"
	cpuIdle       MetricName = "idle"
	cpuNice       MetricName = "nice"
	cpuSteal      MetricName = "steal"
	cpuLoad1      MetricName = "load1"
	cpuLoad5      MetricName = "load5"
	cpuLoad15     MetricName = "load15"
	cpuLoad1Perc  MetricName = "load1_perc"

// just nice to know that it compiles.
void* create(TF_OpKernelConstruction* ctx) {
  TF_DataType type;
  TF_Status* s = TF_NewStatus();
  TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s);
  TF_DeleteStatus(s);
  return NULL;
}

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.

| `minio_node_cpu_avg_iowait_max`      | CPU ioWait time (max).                     |
| `minio_node_cpu_avg_nice`            | CPU nice time.                             |
| `minio_node_cpu_avg_nice_avg`        | CPU nice time (avg).                       |
| `minio_node_cpu_avg_nice_max`        | CPU nice time (max).                       |
| `minio_node_cpu_avg_steal`           | CPU steam time.                            |

# Read the "|" not as "or", but as a "pipe", taking the output of the previous command and passing it to the next command.

# TODO: It would be very nice to avoid having this list somehow, but it needs to be defined in YAML and not in JS for the looping template to work
# Keys like `- build_infrastructure:` do not mean anything, they just need to be unique

!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

## Dataclasses in `response_model`

You can also use `dataclasses` in the `response_model` parameter:

```Python hl_lines="1  7-13  19"

flavor.

-   Snapshot API Docs: [guava][guava-snapshot-api-docs]
-   Snapshot API Diffs: [guava][guava-snapshot-api-diffs]

## Learn about Guava

-   Our users' guide, [Guava Explained]
-   [A nice collection](https://www.tfnico.com/presentations/google-guava) of
    other helpful links

## Links

-   [GitHub project](https://github.com/google/guava)

| `minio_system_cpu_load`       | `gauge` | CPU load average 1min              | `server` |
| `minio_system_cpu_load_perc`  | `gauge` | CPU load average 1min (percentage) | `server` |
| `minio_system_cpu_nice`       | `gauge` | CPU nice time                      | `server` |
| `minio_system_cpu_steal`      | `gauge` | CPU steal time                     | `server` |
| `minio_system_cpu_system`     | `gauge` | CPU system time                    | `server` |

			os.Exit(2)
		}
	}()
	return func() {
		close(cc)
	}
}

func assertNoActive(t *testing.T, c *Connection) {
	t.Helper()
	// Tiny bit racy for tests, but we try to play nice.
	for i := 10; i >= 0; i-- {
		runtime.Gosched()
		stats := c.Stats()
		if stats.IncomingStreams != 0 {
			if i > 0 {
				time.Sleep(100 * time.Millisecond)
				continue
			}

and Android! Please report any issues you encounter: we'll fix them urgently.

 *  Fix: Attempt to read the response body even if the server canceled the request. This will cause
    some calls to return nice error codes like `HTTP/1.1 429 Too Many Requests` instead of transport
    errors like `SocketException: Connection reset` and `StreamResetException: stream was reset:
    CANCEL`.
 *  New: Support OSGi metadata.