aspsim.diagnostics.core.IntervalCounter
- class aspsim.diagnostics.core.IntervalCounter(intervals, num_values=None)
Bases:
objectintervals 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
It is assumed that the intervals are strictly increasing, with no overlap. meaning that ivs[i+1][0]>ivs[i][1] for all i.
- __init__(intervals, num_values=None)
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
It is assumed that the intervals are strictly increasing, with no overlap. meaning that ivs[i+1][0]>ivs[i][1] for all i.
Methods
__init__(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
from_frequency(frequency, max_value[, ...])progress(progress_until)upcoming()