while "dump"ing -- references shouldn't be duplicated even if used in multiple modules

[yarikoptic]

Currently if running mvpa2 unittests, it seems to be even "worse" -- absent agreement among numbers on number of functions cited, entries indices missed but then the same one listed multiple times etc. The pickled collector is http://www.onerussian.com/tmp/.duecredit-mvpa2tests.p

DueCredit Report:
- numpy (v 1.8.2) [1]
- mvpa2 (v 2.4) [2]
  - mvpa2.featsel.rfe:_train (Recursive feature elimination procedure) [3]
  - mvpa2.algorithms.group_clusterthr:_train (Statistical assessment of (searchlight) MVPA results) [5]
  - mvpa2.clfs.transerror:_call (Bayesian hypothesis testing) [7]

2 modules cited
2 functions cited

References
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[1] Van Der Walt, S., Colbert, S.C. & Varoquaux, G., 2011. The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering, 13(2), pp.22–30.
[2] Hanke, M. et al., 2009. PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. Neuroinform, 7(1), pp.37–53.
[3] Guyon, I. et al., 2002. Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46, pp.389–422.
[4] Stelzer, J., Chen, Y. & Turner, R., 2013. Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): Random permutations and cluster size control. NeuroImage, 65, pp.69–82.
[5] Guyon, I. et al., 2002. Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning, 46, pp.389–422.
[6] Stelzer, J., Chen, Y. & Turner, R., 2013. Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): Random permutations and cluster size control. NeuroImage, 65, pp.69–82.
[7] Olivetti, E., Veeramachaneni, S. & Nowakowska, E., 2012. Bayesian hypothesis testing for pattern discrimination in brain decoding. Pattern Recognition, 45(6), pp.2075–2084.
DUECREDIT_ENABLE=1 /home/yoh/proj/duecredit/venv-mvpa2-duecredited/bin/python  1985.15s user 45.35s system 122% cpu 27:42.04 total