navicatGA.helpers¶

Classes¶

GAResult

Functions¶

`check_error`(func, args, *kw)
`concatenate_list`()	Default chromosome manipulator: concatenates all elements of a list.
`get_elapsed_time`(start_time, end_time)
`get_input_dimensions`(lst[, n_dim])
`make_array`()	Default chromosome manipulator: turns list into array.
`track_evaluations`(iterable, total, desc, enabled)	Wraps the per-individual fitness loop in a tqdm bar when progress_bars is on.

Module Contents¶

class navicatGA.helpers.GAResult¶

Bases: tuple

best_fitness¶

best_individual¶

best_pfitness¶

fitness¶

generations¶

population¶

runtime¶

navicatGA.helpers.check_error(func, *args, **kw)¶

navicatGA.helpers.concatenate_list()¶: Default chromosome manipulator: concatenates all elements of a list.

navicatGA.helpers.get_elapsed_time(start_time, end_time)¶

navicatGA.helpers.get_input_dimensions(lst, n_dim=0)¶

navicatGA.helpers.make_array()¶: Default chromosome manipulator: turns list into array.

navicatGA.helpers.track_evaluations(iterable, total, desc, enabled)¶

Wraps the per-individual fitness loop in a tqdm bar when progress_bars is on.

Fitness evaluation is the slow part of a generation (an external QM call can take minutes per individual), so the bar counts individuals, not generations. tqdm writes to stderr, leaving the stdout/file logs clean.

Parameters: :param iterable: the iterable driving the fitness loop :param total: number of individuals to be evaluated :param desc: label shown to the left of the bar :param enabled: whether to show the bar at all

Returns: :return: iterable, wrapped in a tqdm bar if enabled