Library with independent functions to compare two databases (Forensic Case Database and Missing Person Database), generating scores based on non-genetic variables.
Install the package using pip install . from base folder.
Tip: if you are a developer add the
-eflag so any changes you make to the code can directly affect execution.
Functions to compute scores for the variables Biological Sex, Age, Body Characteristics, Dental Characteristics, Stature and Date of dead.
In nonGenCom/scenery_and_context_inputss/ , the inputs are defined for all the variables: Age (ranges, contexts, and sigma) Biological sex (fc_sceneries, mp_sceneries and contexts) Body (fc_sceneries, mp_sceneries and contexts)
In nonGenCom/Variables/ the two type of variables are defined:
CategoricalVariable.py defines the main (abstract) class for the categorical type variables until now (Biological Sex, Body). ContinuosVariable.py defines the main (abstract) class for the continuous type variables until now (age, stature).
In nonGenCom/Variables/ , each function to compute the score for a variable are defined inside each of the subclasses of Variable: BiologicalSex.py, AgeV2.py and AgeV3.py (Age is an abstract class and should not be used as variable, this hierarchy might be subject to change).
In examples/ are shown some examples, like:
fc_scoreCalculator_example.py for implementing FC-selection search based on a set of elements of FC Database against all the MP Database.
mp_scoreCalculator_example.py for implementing MP-selection search based on a set of elements of MP Database against all the FC Database.
age_examples.py for calculating scores.
validation.py to calculate the proportion of scores greater/equal/less than the correspondent case, for a specific score chosen.
In examples/resources are the inputs for the examples, like the two Databases of FC and MP for examples.