Package org.virbo.dataset

QDataSets are less abstract and more flexible data model for das2.

See:
Description

Interface Summary

DataSetIterator
MutablePropertyDataSet
QDataSet	QDataSets are less abstract and more flexible data model for das2.
QubeDataSetIterator.DimensionIterator
QubeDataSetIterator.DimensionIteratorFactory
RankNDataSet	RankNDataSet is a dataset that can only be accessed by slicing to lower dimensionality.
RankZeroDataSet	interface provide access to a rank 0 dataset, which can be thought of as a scalar (and set of correlated scalars) with metadata.
WritableDataSet	Mutable datasets warning: No dataset should be mutable once it is accessible to the rest of the system.

Class Summary

AbstractDataSet	Abstract class to simplify defining datasets.
BDataSet	rank 1,2,or 3 dataset backed by Integer (4 byte) array.
DataSetAdapter	Presents legacy das2 datasets as QDataSets.
DataSetOps	Useful operations for QDataSets
DataSetUtil
DatumVectorAdapter	utility routines for adapting legacy das2 DatumVector.
DDataSet	rank 1,2,or 3 dataset backed by double array.
FDataSet	rank 1,2,or 3 dataset backed by double array.
IDataSet	rank 1,2,or 3 dataset backed by Integer (4 byte) array.
IndexGenDataSet	This is also used a base class.
IndexListDataSetIterator
JoinDataSet	create a higher rank dataset with dim 0 being a join dimension.
OldDataSetIterator	Iterator that provides access to each dataset point, hiding rank when when it is not needed.
QubeDataSetIterator
QubeDataSetIterator.IndexListIterator
QubeDataSetIterator.IndexListIteratorFactory
QubeDataSetIterator.SingletonIterator
QubeDataSetIterator.SingletonIteratorFactory
QubeDataSetIterator.StartStopStepIterator
QubeDataSetIterator.StartStopStepIteratorFactory
SDataSet	rank 1,2,or 3 dataset backed by Integer (4 byte) array.
Slice0DataSet	Wraps a rank N dataset, slicing on an index of the first dimension to make a rank N-1 dataset.
Slice1DataSet	return a rank N-1 dataset from a rank N dataset by slicing on the first dimension.
SortDataSet	wraps QDataSet, rearranging the elements of the first index as specified by a rank 1 data set of indeces
TableDataSetAdapter
TagGenDataSet
TransposeRank2DataSet
TrimStrideWrapper
VectorDataSetAdapter
Version
WeightsDataSet	Provide consistent valid logic to operators by providing a QDataSet with 1.0 where the data is valid, and 0.0 where the data is invalid.

Package org.virbo.dataset Description

QDataSets are less abstract and more flexible data model for das2. das2's current data model was developed to deliver spectrogram time series data sets where the dataset structure would change over time, and the interface is highly optimized for that environment. It's difficult to express many datasets in these terms, so the simpler "quick" QDataSet was introduced.

The QDataSet can be thought of as a fast java array that has name-value metadata attached to it. These arrays of data can have arbitrary rank, although currently the interface limits rank to 1,2, and 3. (Rank 0 and Rank N are proposed but not developed.) Each dimension's length can vary, like java arrays, and datasets were the dimensions do not vary in length are colloquially called "Qubes."

QDataSets can have other QDataSets as property values, for example the property QDataSet.DEPEND_0 indicates that the values are dependend parameters of the "tags" QDataSet found there. This how how we get to the same abstraction level of the legacy das2 dataset.

Mutable datasets warning: No dataset should be mutable once it is accessible to the rest of the system. This would require clients make defensive copies which would seriously degrade performance.