Moving to sip QString API 2 which uses only Python strings
Ran ets3to4 from http://pypi.python.org/pypi/etsproxy and then
uninstalled the Python package with 'sudo pip uninstall etsproxy' to
unmask all enthought.<traits,etc.> imports that would raise errors
without it. Then realised that r'(commons|core)\.traits\.'
relative imports would be masked, amended (hopefully) all cases
manually.
Workbench loading but mcss seems to be producing incorrect H5 files
Improvements, bug fixes and removed outdated ETS patches
Corrected wrongly ordered McssUIPlugin in application
Improved mcss interface
bb-freeze
freezing
tvtk
IOError: [Errno 20] Not a directory:
'/home/jvb/git/infobiotics-dashboard/dist/library.zip/mayavi/core/lut/pylab_luts.pkl'
Traceback (most recent call last):
  File "<string>", line 6, in <module>
  File "__main__.py", line 128, in <module>
  File "__main__infobiotics-dashboard__.py", line 281, in <module>
  File "__main__infobiotics-dashboard__.py", line 190, in main
  File "infobiotics/dashboard/run.py", line 107, in main
    return application.run()
  File "envisage/ui/workbench/workbench_application.py", line 106, in
run
  File "pyface/workbench/workbench_window.py", line 144, in open
  File "pyface/ui/qt4/application_window.py", line 125, in _create
  File "pyface/i_application_window.py", line 124, in
_create_trim_widgets
  File "pyface/ui/qt4/application_window.py", line 104, in
_set_window_icon
  File "pyface/ui/qt4/image_resource.py", line 61, in create_icon
  File "pyface/i_image_resource.py", line 126, in
_get_image_not_found_image
  File "pyface/i_image_resource.py", line 103, in create_image
  File "pyface/i_image_resource.py", line 129, in
_get_image_not_found_image
ValueError: cannot locate the file for 'image_not_found'
added BUGS.txt to track bugs for 10 run, ~80 species, 10000 compartment, 36000 timepoint model
mcss-results profiling: H5 is so big that extracting anything is very
slow. chunk shape *seems* to fit amount[:, :, start:stop:step] OK. Maybe
larger chunk sizes are problematic...
benchmarking chunkshapes with PyTables
improving benchmarking
initial results
powersof10, eqsp
experiment
parameters
productarrayshapes