Similar concepts get the same definition

Comment out blank lines

Set up for the python API

hard_copy to ensure reparamterized nodes don't affect those already selected

log/exp now bound internal and not external parameters, removes from_parent

Based on the precision used to optimize them

Used for sensitivity analysis with UQLab

This should remove the dgels error previously seen

Use "file" when it is considered standard

Remove all possible overlaps

op_slots are now used throughout

int overflows are leading to issues

Remove the treadprivate vectors that caused the valgrind errors
It may not have been an actual leak but don't risk it

_max_param_depth is now properly set for parameterization when loading a file

Fixed all bugs that came up becasue of the merger/removal of domain/log_reg_fit_c

Clean up tests and sources

see https://gitlab.com/sissopp_developers/sissopp
commits: up to 763e40e4deaf7a45dba3f0d8052cca053c1fa957

Created generator functions instead of error handeling
Seems to be an order of magnitude speed up in feature creation

Residuals for ceres solver getting added in

Using these expressions one can reconstruct features using the primary feature set
Capability to decompse features into the prevelance of primary features in them

Use keyed files to automatically generate bindings.hpp/bindings.cpp

All documenation is up to date

missing a parameter in get_test_value_ptr()

This will make it easier for users who do not want to use the bindings

expose c++ class/functions to python

There were errors with temp_storage_reg and setting selected feature values

-Saves memory
-should allow for larger sis to get past MPI send

Made Model Nodes

Models now do not connect to the main value arrays so it will be easier to serialize in the future

Division/multiplcation nodes cant have division features/inverse

empyt unit check

Check if this helps with memory problems

This should hopefully reduce the codes memory footprint

Did them one after another, adding both here now