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I thought this problem was eradicated with PR #265. Unfortunately, with really large numbers, the issue still occurs.
activitysim/activitysim/abm/tables/skims.py
Lines 186 to 194 in 7b57c94
The issue is in the Numpy library np.prod() method. According to the documentation:
Arithmetic is modular when using integer types, and no error is raised on overflow.
>>> x = np.array([536870910, 536870910, 536870910, 536870910]) >>> np.prod(x) 16 # may vary
The text was updated successfully, but these errors were encountered:
Fixed with PR #286.
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I thought this problem was eradicated with PR #265. Unfortunately, with really large numbers, the issue still occurs.
activitysim/activitysim/abm/tables/skims.py
Lines 186 to 194 in 7b57c94
The issue is in the Numpy library np.prod() method. According to the documentation:
The text was updated successfully, but these errors were encountered: