Multivariate Pattern Analysis in Python

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# mvpa2.base.collections

Module with some special objects to be used as magic attributes with dedicated containers aka. `Collections`.

Functions

`borrowdoc`(cls[, methodname]) | Return a decorator to borrow docstring from another `cls`.`methodname` It should not be used for __init__ methods of classes derived from ClassWithCollections since __doc__’s of those are handled by the AttributeCollector anyways.
`is_sequence_type` | isSequenceType(a) – Return True if a has a sequence type, False otherwise.

Classes

`ArrayCollectable`([value, name, doc, length]) | Collectable embedding an array.
`Collectable`([value, name, doc]) | Collection element.
`Collection`([items]) | Container of some Collectables.
`DatasetAttribute`([value, name, doc, length]) | Dataset attribute ..
`DatasetAttributesCollection`([items]) | Container for attributes of datasets (i.e.
`FeatureAttribute`([value, name, doc, length]) | Per feature attribute in a dataset ..
`FeatureAttributesCollection`([items, length]) | Container for attributes of features ..
`SampleAttribute`([value, name, doc, length]) | Per sample attribute in a dataset ..
`SampleAttributesCollection`([items, length]) | Container for attributes of samples (i.e.
`SequenceCollectable`([value, name, doc, length]) | Collectable to handle sequences.
`UniformLengthCollection`([items, length]) | Container for attributes with the same length.

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