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lines 7-49 of file: at_cascade/csv/covariate_both.py
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{xrst_begin csv.covariate_both}

Add both Sex to csv Covariate Table
###################################

Prototype
*********
{xrst_literal ,
    # BEGIN_DEF, # END_DEF
    # BEGIN_RETURN, # END_RETURN
}

covariate_table_in
******************
Is a ``list`` of ``dict`` representation of a
:ref:`csv.simulate@Input Files@covariate.csv` file.

covariate_table_out
*******************
Is a ``list`` of ``dict`` representation of
:ref:`csv.simulate@Input Files@covariate.csv` file.
This has all the rows that are in *covariate_table_in*
plus rows with *sex* equal to *both* .

both
====
For each node_name, age, time,
the covariate table value for *sex* equal ``both``
is the average of its value for ``female`` and ``male`` .
To be specific, if female_value, male_value, both_value
are a covariate's values for a specific (node_name, age, time) then:
{xrst_code py}
    if female_value == male_value :
        both_value = female_value
    else :
        both_value = ( float( female_value ) + float( male_value ) ) / 2.0
{xrst_code}

Example
*******
see :ref:`csv.cov_both_xam-name` .

{xrst_end csv.covariate_both}