dictionary_learning/__init__: Needed more modules added to make up to date.
tests/__init__: Added to the tests folder to aid imports in top level directory to generate test data.
tests/random_dictionary_learning_data: Changed import lines to work with the different location.
tests/test_generate_dictionary: Beginning of regression test.
nanshe: Renamed the repo and as the name no longer encompasses the full intent of the repo. Also, renamed the folder within to have the same name as the repo.
Changed formatting of time stamps in files.
docs/conf: Added name to author strings for epub.
docs/Makefile: Added rst to make help output.
docs/dictionary_learning: Removed as the module has changed name.
docs/index: Updated to reflect change in modules and name.
docs/modules: Updated to reflect change in modules and name.
nanshe: Added for repo.
nanshe.nanshe: Added for nanshe module.
nanshe.tests: Added for tests module
.gitignore: Added directory names associated with project information for different IDEs.
Reformatted code.
HDF5_serializers: Simplified serializer. Now, also handles NumPy scalar values, as well.
HDF5_logger: Made sure that there is a flush after every log operation. This way, if there is a crash, the most recent debug information can be seen.
advanced_image_processing: Added debug information about individual neurons being fused in fuse_neurons.
advanced_image_processing: Changed "overlayed" to "overlaid".
advanced_image_processing: Removed unused imports.
neuron_matplotlib_viewer: Renamed from neuron_viewer so as to clearly distinguish from the volumina based viewer in progress.
neuron_viewer: Renamed to neuron_matplotlib_viewer.
__init__: Also, changed the name of neuron_viewer to neuron_matplotlib_viewer.
neuron_volumina_viewer: Added the equivalent of the matplotlib based NeuronViewer using Volumina.
advanced_image_processing: Minor changes. Some reformatting. Corrected docstrings.
advanced_iterators: Add the function reformat_slice, which will properly fill all the parameters of a slice. If the parameters are None, then they will be filled with default values. Even the stop value will be specified, if it it is supplied.
advanced_iterators: Added the function len_slice, which determines the length of a slice without having to apply it. If the slice does not have a value for its stop point and a length is not specified, it will raise an exception as the length cannot be determined from that information.
advanced_iterators: Add the function index_axis_at_pos, which will index a NumPy array on a given axis using the position provided and returns a view of the original array.
advanced_numpy: One of the doctests used an older name for dot_product_L2_normalized. This has since been corrected. All doctests passed.