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Currently, cumsum() operates on flattened arrays. This behavior is not that useful, as even in its absence it could trivially be obtained by calling ravel() yourself first.
Perhaps a more useful appr…
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**Describe the bug**
I doubt it is a bug, but still would like to ask.
In several intersection methods of compas, input parameters are either a tuple or a primitive geometry object, but it works onl…
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### Summary
This project is undertaken as part of my summer internship at Quansight Labs, mentored by @izaid and @rgommers.
I would like to propose extending the current COO sparse array support in …
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Using the general stride layout, it is often assumed that the strides are set such that no two elements share the same location. In some cases, strides are also assumed to be positive, so that `stride…
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### Pandas version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsn…
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Hi, thanks very much for creating this package which works well on low dimensional data. But is that also suitable for higher-dimensional data? Do any parts need to turn? Thanks.
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\* regular polychora
* rotopes
* higher dimensional objects can be displayed just as four-dimensional ones - you just have to supply the ND view parameters via the parameter window.
lene updated
10 years ago
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Implement the solid angle measure (the plane angle) of a two-dimensional cone, using the dot-product (trigonometry) formula.
For example, the solid angle of the first orthant `solid_angle_simplici…
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#1345 adds an efficient concrete intersection for 1D sets, and an efficient intersection between `HPolygon` is already available. Then one could take intersections of higher dimensional sets which are…
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### Discussed in https://github.com/idaholab/moose/discussions/28201
Originally posted by **grunerjmeier** July 23, 2024
Dear Moose-Community,
I have a 3D mesh with some volume-elements in …