Overflow error

[danielfromearth]

The following error is being raised by CONCISE, for the UAT collection = C1254854453-LARC_CLOUD, when both spatial and temporal subsetting are requested (e.g., UAT job id = 82765bc0-745b-416c-8c1f-a7504c43151d)

For example:

request = Request(
    collection=collection,
    spatial=BBox(-100, 30, -90, 40),
    temporal={
        'start': dt.datetime(2024, 1, 1),
        'stop': dt.datetime(2024, 12, 30)
    },
    extend="mirror_step"
)

During the CONCISE instance, this error is raised: OverflowError: Python int too large to convert to C long

[danielfromearth]

Haven't seen this issue in awhile in UAT. Possibly it's been resolved by changes in memory size of the service images.
If we still haven't seen this error raised in another month, perhaps we should close this issue.