Note
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Filters: minimum before='all' size.#
Remove bad folds by using the filter parameter. Must be a predicate (start, mid, end) -> bool.
from rics import configure_stuff
from time_split import log_split_progress, plot, split
configure_stuff(datefmt="")
data = ("2022-02", "2022-03")
config = dict(schedule="7d", before="all", after="5d", available=data)
plot(**config, bar_labels="days")
for fold in log_split_progress(split(**config), logger="my-logger"):
print("Doing work..")

👻 Configured some stuff just the way I like it!
[my-logger:INFO] Begin fold 1/4: '2022-02-01' <= [schedule: '2022-02-03' (Thursday)] < '2022-02-08'.
Doing work..
[my-logger:INFO] Finished fold 1/4: [schedule: '2022-02-03' (Thursday)] after 19 μs.
[my-logger:INFO] Begin fold 2/4: '2022-02-01' <= [schedule: '2022-02-10' (Thursday)] < '2022-02-15'.
Doing work..
[my-logger:INFO] Finished fold 2/4: [schedule: '2022-02-10' (Thursday)] after 16 μs.
[my-logger:INFO] Begin fold 3/4: '2022-02-01' <= [schedule: '2022-02-17' (Thursday)] < '2022-02-22'.
Doing work..
[my-logger:INFO] Finished fold 3/4: [schedule: '2022-02-17' (Thursday)] after 14 μs.
[my-logger:INFO] Begin fold 4/4: '2022-02-01' <= [schedule: '2022-02-24' (Thursday)] < '2022-03-01'.
Doing work..
[my-logger:INFO] Finished fold 4/4: [schedule: '2022-02-24' (Thursday)] after 14 μs.
By using a Filter, arbitrary conditions may be forced on the generated folds.
def at_least_10_days(start, mid, end):
# end: fixed distance from `mid` since after="5d"
return (mid - start).days >= 10
Enforcing 10 days of training data.

[my-logger:INFO] Begin fold 1/2: '2022-02-01' <= [schedule: '2022-02-17' (Thursday)] < '2022-02-22'.
Doing work..
[my-logger:INFO] Finished fold 1/2: [schedule: '2022-02-17' (Thursday)] after 18 μs.
[my-logger:INFO] Begin fold 2/2: '2022-02-01' <= [schedule: '2022-02-24' (Thursday)] < '2022-03-01'.
Doing work..
[my-logger:INFO] Finished fold 2/2: [schedule: '2022-02-24' (Thursday)] after 15 μs.
Total running time of the script: (0 minutes 0.252 seconds)