peerRESTBucket: bucket,
	}))
	if err != nil || resp == nil {
		return BucketStats{}, err
	}
	return *resp, nil
}

// GetSRMetrics loads site replication metrics, optionally for a specific bucket
func (client *peerRESTClient) GetSRMetrics(ctx context.Context) (SRMetricsSummary, error) {
	resp, err := getSRMetricsRPC.Call(ctx, client.gridConn(), grid.NewMSS())

		case 4:
			nameAddr.Sym.WriteFloat32(p.ctxt, nameAddr.Offset, float32(valueAddr.Val.(float64)))
		case 8:
			nameAddr.Sym.WriteFloat64(p.ctxt, nameAddr.Offset, valueAddr.Val.(float64))
		default:
			p.errorf("bad float size for DATA argument: %d", sz)
		}
	case obj.TYPE_SCONST:
		nameAddr.Sym.WriteString(p.ctxt, nameAddr.Offset, int(sz), valueAddr.Val.(string))
	case obj.TYPE_ADDR:
		if sz == p.arch.PtrSize {

    if (expected.equals(in)) {
      assertSame(in, out);
    } else {
      assertEquals(expected, out);
    }
  }

  // Test collapse() a little differently than the rest, as we really want to
  // cover lots of different configurations of input text
  public void testCollapse() {
    // collapsing groups of '-' into '_' or '-'
    doTestCollapse("-", "_");
    doTestCollapse("x-", "x_");
    doTestCollapse("-x", "_x");

func (s *erasureSets) Legacy() (ok bool) {
	return s.distributionAlgo == formatErasureVersionV2DistributionAlgoV1
}

// connectDisks - attempt to connect all the endpoints, loads format
// and re-arranges the disks in proper position.
func (s *erasureSets) connectDisks(log bool) {
	defer func() {
		s.lastConnectDisksOpTime = time.Now()
	}()

	var wg sync.WaitGroup

* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

*  Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

*   `tf.lite`:

    *   Add 16-bit float type support for built-in op `fill`.
    *   Transpose now supports 6D tensors.
    *   Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

*   `tf.experimental.dtensor`:

# Integer-type fields for admin in the index.
index.admin.integer.fields=
# Long-type fields for admin in the index.
index.admin.long.fields=content_length,favorite_count,click_count
# Float-type fields for admin in the index.
index.admin.float.fields=boost
# Double-type fields for admin in the index.
index.admin.double.fields=
# Required fields for admin in the index.
index.admin.required.fields=url,title,role,boost

# timeout

          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '
                  'lower than sm_35. Disable XLA when running on older GPUs.')
      else:
        ver = float(m.group(0))
        if ver < 3.0:
          print('ERROR: TensorFlow only supports CUDA compute capabilities 3.0 '
                'and higher. Please re-specify the list of compute '

    if (expected.equals(in)) {
      assertSame(in, out);
    } else {
      assertEquals(expected, out);
    }
  }

  // Test collapse() a little differently than the rest, as we really want to
  // cover lots of different configurations of input text
  public void testCollapse() {
    // collapsing groups of '-' into '_' or '-'
    doTestCollapse("-", "_");
    doTestCollapse("x-", "x_");
    doTestCollapse("-x", "_x");

			cache.iamUserPolicyMap.Store(name, mp)
		}
	} else {
		cache.iamGroupPolicyMap.Store(name, mp)
	}
	cache.updatedAt = time.Now()
	return mp.UpdatedAt, nil
}

// PolicyNotificationHandler - loads given policy from storage. If not present,
// deletes from cache. This notification only reads from storage, and updates
// cache. When the notification is for a policy deletion, it updates the