Funcs

Functions to comupte fitness functions or indicators

linear_slope(x[, plot_flag, begin])	Get the slope from a linear regression.
days_violated(x, restrictions, setup_mf[, …])	calculates the longest consecuate period with a violation of a restriction
max_len_ones(inarray[, indicator, …])	run length encoding.
sum_heads_fg(dict_heads, fitness_group)	calculates the weighted sum of all the indicators in the head dict for one fitness group.
count_neg_slopes(dict_heads, fitness_group)	count the number of area_gw with negative slopes –> depletion trend
sum_neg_slopes(dict_heads, fitness_group[, …])	sum the negative slopes of selected area_gw, if we have an positive slope, then assign zero –> minimize the depletion trends, but do not recommend positive trends.
pywr_total__no_recorder_noparameters(pywr_model)	comput the deficits, provided rates for total balance runs (no time series, no input data time series written.)