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Uses NumPy to accelerate parsing and calculation.
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Breaking change: returns data as NumPy arrays
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Includes a fix to read CUBE files written by CubeWriter 4.8 that sometimes come with incorrect checksums.
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Includes a bugfix, that switches the paramaters of
convert_to_inclusive
andconvert_to_exclusive
in thevalue
andmean
function ofMetricValues
, so that the names and the functions match.
The new and also correct signatures are now:
mean(self, cnode: CNode, convert_to_exclusive: bool = False, convert_to_inclusive: bool = False)
value(self, cnode: CNode, convert_to_exclusive: bool = False, convert_to_inclusive: bool = False)
Includes a bugfix, that switches the paramaters of convert_to_inclusive
and convert_to_exclusive
in the value
and mean
function of MetricValues
, so that the names and the functions match.
The new and also correct signatures are now:
mean(self, cnode: CNode, convert_to_exclusive: bool = False, convert_to_inclusive: bool = False)
value(self, cnode: CNode, convert_to_exclusive: bool = False, convert_to_inclusive: bool = False)
- Includes a fix to read CUBE files written by CubeWriter 4.8 that sometimes come with incorrect checksums.
Includes some bug fixes and the following new features:
- Support for Python 3.9 and 3.10
- CNode parameters
- File/module information
- Includes some bug fixes and optimizations, such as improved memory usage and performance.
- Added su
- First official release of pyCubexR Python package to read the Cube4 (.cubex) file format.