BF: Use filtfilt() from future if scipy's is broken (fixes gh-157)

prior SciPy 0.11
Merge branch 'master' of github.com:PyMVPA/PyMVPA

* 'master' of github.com:PyMVPA/PyMVPA:
  BF: if no combiner -- place training_stats into a dict
  RF: place labels for pair-wise results into a single fa matching original attribute (e.g. "targets") in tuples
  RF: squeeze out the degenerate dimensions for pos/neg labels in pair-wise classifiers
  RF: no "combiner" -- no "estimates" in CombinedClassifier (and no warning)
  RF: Removing what was apparently copied/fixed in sandbox/multiclass.py
  ENH: allow MulticlassClassifier to operate without combiner thus just spitting out all pair-wise predictions (without any voting)
TST: making data even more "obvious" in test_multiclass_pairs_svm_searchlight

has failed during daily tests with MVPA_SEED=1353149908
RF: Move filtfilt monkey-patch under mvpa2/support/scipy/signal

Decided to go the 'difficult' way to resolve conflicts in local imports
of scipy under support via
from __future__ import absolute_import

Next commit will RF also stats under scipy/
RF: move support/stats under support/scipy/stats for consistency
BF: more pieces from scipy (_arraytools) to fix up running/testing on elderly precise
BF: doctest our copy of filtfilt and relax precision for output float
Merge branch 'master' into cmdline_modular

* master:
  BF: doctest our copy of filtfilt and relax precision for output float
  BF: more pieces from scipy (_arraytools) to fix up running/testing on elderly precise
  RF: move support/stats under support/scipy/stats for consistency
  RF: Move filtfilt monkey-patch under mvpa2/support/scipy/signal
  TST: making data even more "obvious" in test_multiclass_pairs_svm_searchlight
  BF: Use filtfilt() from future if scipy's is broken (fixes gh-157)
BF,DOC: add import of base.constraints to suite + minor typo
ENH: docstrings for constraints' __init__ and use semantic *constraints,*values instead of pure *args
RF/ENH: constraints -- use __or__ and __and__ for concise semantics, improved testing, EnsureValue -> Constraint
ENH: consistent (more TODO) use of assert_raises + check for Range to not be type dependent
BF: constraint short_description is now mandatory

after @yarikoptic make base class abstract
Merge branch 'neurosbh-paraval' into cmdline_modular

* neurosbh-paraval:
  BF: constraint short_description is now mandatory
  ENH: consistent (more TODO) use of assert_raises + check for Range to not be type dependent
  RF/ENH: constraints -- use __or__ and __and__ for concise semantics, improved testing, EnsureValue -> Constraint
  ENH: docstrings for constraints' __init__ and use semantic *constraints,*values instead of pure *args
  BF,DOC: add import of base.constraints to suite + minor typo
ENH: simple test to assure that import of mvpa2.cmdline does not fail