DataCoordinateIterable¶
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class
lsst.daf.butler.DataCoordinateIterable¶ Bases:
collections.abc.Iterable,typing.GenericAn abstract base class for homogeneous iterables of data IDs.
All elements of a
DataCoordinateIterableidentify the same set of dimensions (given by thegraphproperty) and generally have the sameDataCoordinate.hasFullandDataCoordinate.hasRecordsflag values.Attributes Summary
graphDimensions identified by these data IDs ( DimensionGraph).universeUniverse that defines all known compatible dimensions. Methods Summary
constrain(query, columns, …)Constrain a SQL query to include or relate to only known data IDs. fromScalar(dataId)Return a DataCoordinateIterablecontaining the single data ID.hasFull()Indicate if all data IDs in this iterable identify all dimensions. hasRecords()Return whether all data IDs in this iterable contain records. subset(graph)Return a subset iterable. toSequence()Transform this iterable into a DataCoordinateSequence.toSet()Transform this iterable into a DataCoordinateSet.Attributes Documentation
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graph¶ Dimensions identified by these data IDs (
DimensionGraph).
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universe¶ Universe that defines all known compatible dimensions.
Methods Documentation
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constrain(query: lsst.daf.butler.core.simpleQuery.SimpleQuery, columns: Callable[[str], sqlalchemy.sql.elements.ColumnElement]) → None¶ Constrain a SQL query to include or relate to only known data IDs.
Parameters: - query :
SimpleQuery Struct that represents the SQL query to constrain, either by appending to its WHERE clause, joining a new table or subquery, or both.
- columns :
Callable A callable that accepts
strdimension names and returns SQLAlchemy objects representing a column for that dimension’s primary key value in the query.
- query :
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static
fromScalar(dataId: lsst.daf.butler.core.dimensions._coordinate.DataCoordinate) → lsst.daf.butler.core.dimensions._dataCoordinateIterable._ScalarDataCoordinateIterable¶ Return a
DataCoordinateIterablecontaining the single data ID.Parameters: - dataId :
DataCoordinate Data ID to adapt. Must be a true
DataCoordinateinstance, not an arbitrary mapping. No runtime checking is performed.
Returns: - iterable :
DataCoordinateIterable A
DataCoordinateIterableinstance of unspecified (i.e. implementation-detail) subclass. Guaranteed to implement thecollections.abc.Sized(i.e.__len__) andcollections.abc.Container(i.e.__contains__) interfaces as well as that ofDataCoordinateIterable.
- dataId :
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hasFull() → bool¶ Indicate if all data IDs in this iterable identify all dimensions.
Not just required dimensions.
Returns:
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hasRecords() → bool¶ Return whether all data IDs in this iterable contain records.
Returns:
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subset(graph: lsst.daf.butler.core.dimensions._graph.DimensionGraph) → lsst.daf.butler.core.dimensions._dataCoordinateIterable.DataCoordinateIterable¶ Return a subset iterable.
This subset iterable returns data IDs that identify a subset of the dimensions that this one’s do.
Parameters: - graph :
DimensionGraph Dimensions to be identified by the data IDs in the returned iterable. Must be a subset of
self.graph.
Returns: - iterable :
DataCoordinateIterable A
DataCoordinateIterablewithiterable.graph == graph. May beselfifgraph == self.graph. Elements are equivalent to those that would be created by callingDataCoordinate.subseton all elements inself, possibly with deduplication and/or reordering (depending on the subclass, which may make more specific guarantees).
- graph :
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toSequence() → lsst.daf.butler.core.dimensions._dataCoordinateIterable.DataCoordinateSequence¶ Transform this iterable into a
DataCoordinateSequence.Returns: - seq :
DataCoordinateSequence A new
DatasetCoordinateSequencewith the same elements asself, in the same order. May beselfif it is already aDataCoordinateSequence.
- seq :
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toSet() → lsst.daf.butler.core.dimensions._dataCoordinateIterable.DataCoordinateSet¶ Transform this iterable into a
DataCoordinateSet.Returns: - set :
DataCoordinateSet A
DatasetCoordinateSetinstance with the same elements asself, after removing any duplicates. May beselfif it is already aDataCoordinateSet.
- set :
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