Comments (6)
It's quite unusual in Python to use identity operator (is
) to support this kind of use case; e.g. with lists:
>>> m = []
>>> m is []
False
Why not use i1.is_empty()
in your case?
from portion.
Good point! I did not know about is_empty() and got used to using sympy's singleton EmptyInterval.
from portion.
I hope is_empty() will do the job performances-wise ;-)
I would be very interested to get your feedback on how python-intervals' performances are in practice. My use cases usually do not exceed tens of intervals, so I don't know if there are bottlenecks.
from portion.
My use case involves simulation with a lot of time intervals. For each set of simulation parameters I calculate ~12 time intervals. Then I check if all of them are valid. If they are - then I calculate one intersection of them all and check again if it is valid (not empty). Compared to sympy I see ~30x improvement using python-intervals.
from portion.
Thank you! That's a good news ;-)
from portion.
I know this issue is quite old and a "workaround" has been found, but since 1.8.0, I.empty()
always returns the same instance, so comparing some_interval == I.empty()
should be nearly as fast than some_interval.is_empty()
. Notice that is
operator is still not supported (because not all empty intervals are created using I.empty()
, so we cannot ensure that their id(...)
's will be the same!)
from portion.
Related Issues (20)
- Get number of times multiple intervals overlap HOT 3
- Iteration of empty intervals is inconsistent. in general "empty := (+inf,-inf)" is problematic HOT 15
- Is this library performant enough to work with (non-atomic) intervals which span integers between 1 and 1 billion? HOT 1
- Using an external comparator? HOT 3
- iterate is broken with subclasses of Interval HOT 12
- Add __format__ method to Interval (improvement) HOT 16
- Thoughts about text-annotation use case and Pandas Ext. API HOT 5
- interval diameter (length, width, measure, range, or size) HOT 8
- Add join / merge method HOT 2
- "compatible version" specifier in setup.py confuses poetry HOT 2
- AttributeError: module 'portion.interval' has no attribute 'empty' HOT 3
- IntervalMultiDict HOT 3
- Add example for pandas in README HOT 5
- importlib error with create_api HOT 2
- Error to import interval, inf, imath from interval HOT 1
- importlib.machinery error with create_api HOT 6
- Enclosure Calculation Bug HOT 1
- Empty Calculation Bug HOT 3
- The performance issues of interval calculations in large quantities. HOT 1
- mass/Lebesgue measure? HOT 7
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from portion.