return
			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BucketOptions) Msgsize() (s int) {
	s = 1 + 8 + msgp.BoolSize + 7 + msgp.BoolSize + 11 + msgp.BoolSize
	return
}

				return
			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BucketReplicationResyncStatus) Msgsize() (s int) {
	s = 1 + 2 + msgp.IntSize + 4 + msgp.MapHeaderSize
	if z.TargetsMap != nil {

nvidia-cublas-cu12>=12.5.3.2,<13.0
nvidia-cuda-cupti-cu12>=12.5.82,<13.0
nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0

		zb0001, bts, err = msgp.ReadUintBytes(bts)
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = BitrotAlgorithm(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BitrotAlgorithm) Msgsize() (s int) {
	s = msgp.UintSize
	return
}

// DecodeMsg implements msgp.Decodable

		zb0001, bts, err = msgp.ReadUint8Bytes(bts)
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = rebalSaveOpts(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z rebalSaveOpts) Msgsize() (s int) {
	s = msgp.Uint8Size
	return
}

// DecodeMsg implements msgp.Decodable

			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *MetricDescription) Msgsize() (s int) {

				return
			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobKV) Msgsize() (s int) {
	s = 1 + 4 + msgp.StringPrefixSize + len(z.Key) + 6 + msgp.StringPrefixSize + len(z.Value)
	return
}

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.

		zb0001, bts, err = msgp.ReadIntBytes(bts)
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = BackendType(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BackendType) Msgsize() (s int) {
	s = msgp.IntSize
	return
}

// MarshalMsg implements msgp.Marshaler

     */
    Collection<Alias> aliases();

    /**
     * A phase in the lifecycle.
     *
     * A phase is identified by its name. It also contains a list of plugins bound to that phase,
     * a list of {@link Link links}, and a list of sub-phases.  This forms a tree of phases.
     */
    interface Phase {

        // ======================
        // Maven defined phases