ENH: Extending number of predefined cmdline options and provide convenience to split e.g. targets:t1,t2;chunks:c1
copied doc/examples/searchlight_app.py into bin/mvpa2-analysis
ENH: Assign parser the PyMVPA's __version__
working on mvpa2-analysis -- adding more cmdline options and restructuring for quick startup
Merge remote branch 'gh-yarikoptic/master'

* gh-yarikoptic/master:
  BF: usepackage{upquote} for LaTeX rendering of the manual to get proper ticks
  BF: Do not use borrowkwargs for __init__s of classes derived from ClassWithCollections (Closes gh-69)
  BF: tree classifier unittest should operate on clfs clones
  ENH: more verbose debug for CLFTREE
  RF: Kill Harvestable
  BF: itertools in Python 2.5 lacks .combinations
  ENH: assure use of Agg backend during doc builds and HOME=build
  DOC: version boost to 2.0.1 and copyright years update
  DOC: preparing for the 2.0.1 release -- ChangeLog
  BF: deprecated use of _idhash for CachedQueryEngine
  access correct attribute within CachedQueryEngine
  release didn't happen but is coming!
  BF: import mvpa2.base.attributes in suite
  BF: minor -- do not puke in table2string given an empty list
  tentative changelog for 2.0.1
ENH: exclude node from CrossValidation.__repr__ since it gets constructed in __init__
DOC: minor
ENH: bin/mvpa2-analysis to "cache" dataset, do zscoring, include/exclude conditions -- needs to be all tested
tiny tipo
ENH: allow loading from a list of 4D (and 3D) nifti volumes

so we could easily load in 1 construct 4D files from different sessions
ENH: mvpa2-analysis: load multiple input volumes (glob + sorting) and attr files with more than 2 columns and a header
BF: explicitly check for ability to load liblapack.so and not enable test for dgesvd otherwise
Merge remote-tracking branch 'origin/master'

* origin/master: (23 commits)
  BF: Fix doctest in example db
  BF: ProjectionMapper must pass **kwargs to base class
  Changes the way hyperalignment measure returns the results. again.
  Modified StaticProjectionMapper to get auto trained. Looks like it won't work without these changes.
  NF: Added CombinedMapper
  ENH: Allow a Learner's training state to be set from outside.
  NF: FxyMapper
  Modified hyperalignment measure to return 2 mappers per subject as one sample.
  modified comments to reflect inverse of project rather than transpose
  ENH: use verbose() instead of plain print while giving output a bit of structure
  DOC: Rename and list hyperalignment example on website
  DOC: Polish, restructure, extend hyperalignment demo.
  DOC: Polish, restructure, extend hyperalignment demo.
  Added similarity structures to the hyperalignment example.
  DOC: Restructure hyperalignment example
  Made dgesvd as the svd implementation to use in ProcrusteanMapper for hyperalignment
  Added hyperalignment tutorial & data for the turorial with description.
  BF: Let scatter_neighborhoods return ALL indices for non-unique coordinates
  modified hyperalignment measure to ignore scaling data if scale=0.0 Hypearlignment algorithm is changed to use the same reference in the last step
  BF: Don't rely on OrderedDict in tests (only from Python 2.7 onwards).
  ...
ENH: make @with_tempfile cleanup directories and possibly multiple files as well
ENH: h5save got argument mkdir (default to True) to create all needed leading directories
ignore another generated file as well
Merge remote branch 'origin/master'

* origin/master: (26 commits)
  BF: explicitly check for ability to load liblapack.so and not enable test for dgesvd otherwise
  BF: Fix doctest in example db
  ENH: allow to set a datameasure for Searchlight instances thus allowing None in the constructor
  DOC: download instructions -- point to windows installers and neurodebian vm
  BF: ProjectionMapper must pass **kwargs to base class
  Changes the way hyperalignment measure returns the results. again.
  Modified StaticProjectionMapper to get auto trained. Looks like it won't work without these changes.
  NF: Added CombinedMapper
  ENH: Allow a Learner's training state to be set from outside.
  NF: FxyMapper
  Modified hyperalignment measure to return 2 mappers per subject as one sample.
  modified comments to reflect inverse of project rather than transpose
  ENH: use verbose() instead of plain print while giving output a bit of structure
  DOC: Rename and list hyperalignment example on website
  DOC: Polish, restructure, extend hyperalignment demo.
  DOC: Polish, restructure, extend hyperalignment demo.
  Added similarity structures to the hyperalignment example.
  DOC: Restructure hyperalignment example
  Made dgesvd as the svd implementation to use in ProcrusteanMapper for hyperalignment
  Added hyperalignment tutorial & data for the turorial with description.
  ...
BF: fetch hyperalignment_tutorial_data for datadb as well
ENH: assert_objectarray_equal for robust comparison of object arrays

See: http://projects.scipy.org/numpy/ticket/2117
BF: use assert_objectarray_equal for fxmapper results

otherwise would fail to compare on functions which were not usable with numpy < 1.6
but now returning (seems to be) valid object arrays