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Package mvpa :: Package misc :: Module support

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Module support

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Support function -- little helpers in everyday life

Classes

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MapOverlap
Compute some overlap stats from a sequence of binary maps.

Event
Simple class to define properties of an event.

HarvesterCall

Harvester
World domination helper: do whatever it is asked and accumulate results

Functions

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reuseAbsolutePath(file1, file2, force=False)
Use path to file1 as the path to file2 is no absolute path is given for file2

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array (len(startpoints) x data.shape[1:])

transformWithBoxcar(data, startpoints, boxlength, offset=0, fx=N.mean)
This function extracts boxcar windows from an array.

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getUniqueLengthNCombinations(data, n)
Generates a list of lists containing all combinations of elements of data of length 'n' without repetitions.

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indentDoc(v)
Given a value returns a string where each line is indented source code

idhash(val)
Craft unique id+hash for an object

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isSorted(items)
Check if listed items are in sorted order.

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isInVolume(coord, shape)
For given coord check if it is within a specified volume size.

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getBreakPoints(items, contiguous=True)
Return a list of break points.

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RFEHistory2maps(history)
Convert history generated by RFE into the array of binary maps

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Function Details

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reuseAbsolutePath(file1, file2, force=False)

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Use path to file1 as the path to file2 is no absolute path is given for file2

Parameters:

force (bool) - if True, force it even if the file2 starts with /

transformWithBoxcar(data, startpoints, boxlength, offset=0, fx=N.mean)

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This function extracts boxcar windows from an array. Such a boxcar is defined by a starting point and the size of the window along the first axis of the array (boxlength). Afterwards a customizable function is applied to each boxcar individually (Default: averaging).

Parameters:

data (array) - An array with an arbitrary number of dimensions.
startpoints (sequence) - Boxcar startpoints as index along the first array axis
boxlength (int) - Length of the boxcar window in #array elements
offset (int) - Optional offset between the configured starting point and the actual begining of the boxcar window.

Returns: array (len(startpoints) x data.shape[1:])

getUniqueLengthNCombinations(data, n)

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Generates a list of lists containing all combinations of elements of data of length 'n' without repetitions.

data: list n: integer

This function is adapted from a Java version posted in some forum on the web as an answer to the question 'How can I generate all possible combinations of length n?'. Unfortunately I cannot remember which forum it was.

indentDoc(v)

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Given a value returns a string where each line is indented

Needed for a cleaner __repr__ output v - arbitrary

isSorted(items)

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Check if listed items are in sorted order.

Returns:: True if were sorted. Otherwise False + Warning

Parameters: items: iterable container

isInVolume(coord, shape)

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For given coord check if it is within a specified volume size.

Returns True/False. Assumes that volume coordinates start at 0. No more generalization (arbitrary minimal coord) is done to save on performance

getBreakPoints(items, contiguous=True)

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Return a list of break points.

Parameters:

items (iterable) - list of items, such as chunks
contiguous (bool) - if True (default) then raise Value Error if items are not contiguous, i.e. a label occur in multiple contiguous sets

Returns:

list of indexes for every new set of items

RFEHistory2maps(history)

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Convert history generated by RFE into the array of binary maps

Example:

history2maps(N.array( [ 3,2,1,0 ] ))

results in

array([[ 1., 1., 1., 1.],: [ 1., 1., 1., 0.], [ 1., 1., 0., 0.], [ 1., 0., 0., 0.]])

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