aspsim.diagnostics.core

Functions

abstractmethod(funcobj)	A decorator indicating abstract methods.
attritemgetter(name)	If you have a dictionary with strings, use the name "dict_obj['key']" Without apostrophes, the key is assumed to be a list index, and is converted to integer.
get_values_from_selection(signal, ...)	gives back signal values that correspond to time_values less than max_idx, and signal values that are not nan
get_values_up_to_idx(signal, max_idx)	gives back signal values that correspond to time_values less than max_idx, and signal values that are not nan

Classes

Diagnostic(sim_info, export_at, save_at, ...)	save_at_idx is an iterable which gives all indices for which to save data.
IndexCounter(idx_selection[, tot_samples])	idx_selection is either an iterable of indices, or a single number
InstantDiagnostic(sim_info[, save_at, ...])	save_at_idx is an iterable which gives all indices for which to save data.
IntervalCounter(intervals[, num_values])	intervals is an iterable or iterator where each entry is a tuple or list of length 2, with start (inclusive) and end (exclusive) points of each interval np.ndarray of shape (num_intervals, 2) is also valid
Logger(sim_info)
SignalDiagnostic(sim_info[, export_at, ...])	save_at_idx is an iterable which gives all indices for which to save data.
StateDiagnostic(sim_info[, export_at, ...])	save_at_idx is an iterable which gives all indices for which to save data.