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NumPy can work very efficiently with multi-gigabyte data if the data is memory-mapped. The Python extension should be updated to prefer using memory-mapped data if available from the SimpleAPI.
Original Issue: EXTRAS-125
Status: Deferred
Feature Interpretation:
Suggested Solution:
Actual Solution:
Severity:
Version Control:
Environment:
Linked:
The text was updated successfully, but these errors were encountered:
NumPy can work very efficiently with multi-gigabyte data if the data is memory-mapped. The Python extension should be updated to prefer using memory-mapped data if available from the SimpleAPI.
Original Issue: EXTRAS-125
Status: Deferred
Feature Interpretation:
Suggested Solution:
Actual Solution:
Severity:
Version Control:
Environment:
Linked:
The text was updated successfully, but these errors were encountered: