export MINIO_SITE_REGION="us-west-0"
export MINIO_SITE_NAME="sfo-rack-1"
minio server /data
```

### Storage Class

By default, parity for objects with standard storage class is set to `N/2`, and parity for objects with reduced redundancy storage class objects is set to `2`. Read more about storage class support in MinIO server [here](https://github.com/minio/minio/blob/master/docs/erasure/storage-class/README.md).

```
KEY:

)

// Standard constants for all storage class
const (
	// Reduced redundancy storage class
	RRS = "REDUCED_REDUNDANCY"
	// Standard storage class
	STANDARD = "STANDARD"
)

// Standard constats for config info storage class
const (
	ClassStandard = "standard"
	ClassRRS      = "rrs"
	Optimize      = "optimize"
	InlineBlock   = "inline_block"

	// Reduced redundancy storage class environment variable

package cmd

import "context"

const (
	configRRSParity      = "rrs_parity"
	configStandardParity = "standard_parity"
)

var (
	configRRSParityMD = NewGaugeMD(configRRSParity,
		"Reduced redundancy storage class parity")
	configStandardParityMD = NewGaugeMD(configStandardParity,
		"Standard storage class parity")
)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config

			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         ClassRRS,
			Description: `set the parity count for reduced redundancy storage class` + defaultHelpPostfix(ClassRRS),
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         Optimize,

MINIO_STORAGE_CLASS_RRS: Format "EC:<Default_Parity_Reduced_Redundancy_Class>" (e.g. "EC:3"). This sets the number of parity drives for MinIO server in Reduced Redundancy mode. Objects are stored in Reduced Redundancy mode, if Put request specifies RRS storage class
Refer to the link https://github.com/minio/minio/tree/master/docs/erasure/storage-class for more information`,
	)

  // Run a collective sum, so each component should now be the same.
  TensorHandlePtr reduced(
      CollectiveSum(context.get(), parallel_value.get(), 2, status.get()));
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  std::array<TensorHandlePtr, 2> result_components;
  ExtractPerDeviceValues(context.get(), reduced.get(), &result_components,
                         status.get());

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         apiListQuorum,
			Description: `set the acceptable quorum expected for list operations e.g. "optimal", "reduced", "disk", "strict", "auto"` + defaultHelpPostfix(apiListQuorum),
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         apiReplicationPriority,

		}
	}
}

// Test for reduceErrs, reduceErr reduces collection
// of errors into a single maximal error with in the list.
func TestReduceErrs(t *testing.T) {
	canceledErrs := make([]error, 0, 5)
	for i := 0; i < 5; i++ {
		canceledErrs = append(canceledErrs, fmt.Errorf("error %d: %w", i, context.Canceled))
	}
	// List all of all test cases to validate various cases of reduce errors.
	testCases := []struct {
		errs        []error