Ashwath V A

Asteroids break into smaller pieces and then into tiny rocks. Small pieces drop loot.

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# Description > Rubble created from destroying asteroid also now create smaller pieces when destroyed. > `CreatesRubbleOnDestruction` component is not added for tiny rocks. > `DropsMoneyOnDestruction` component added to rubble...

Chunk function for CSR sparse arrays

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Figured out how to obtain the data specific to each process. Should be efficient enough. ## Question: ### What should happen to the Row indices vector? The row indices keep...

fix #351: Solution 1: enforce weights.shape = x.shape for tuple axis

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Issue/s resolved: #351 ## Type of change Documentation update ## Due Diligence - [ ] All split configurations tested - [ ] Multiple dtypes tested in relevant functions - [...

fix #351: Solution 2: Allow weights to be 2D array for tuple axis

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## Description When the shapes of `x` and `weights` are the same, everything proceeds as it did before. When they are different, there are 2 cases possible: * Case 1:...

Fixed code that verifies lshape while using is_split

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## Description The reuse of gshape array as the receiving buffer made the code a bit too difficult to understand. So, created a new array `neighbour_shape` to hold, well...., the...

Distributed Compressed Sparse Row Matrix

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## Description ### Distributed Compressed Sparse Row Matrix: Dcsr_matrix A format for the efficient storage and manipulation of sparse data (with majority 0s). This distributed implementation builds upon the [torch.sparse_csr_tensor](https://pytorch.org/docs/stable/generated/torch.sparse_csr_tensor.html)...

[Feature-384 Sparse] Implement balancing for sparse matrices

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**Related** Pending work from https://github.com/helmholtz-analytics/heat/pull/1028 **Feature functionality** Balanced attribute for now does absolutely nothing. Have to implement the balancing/redistribution for `DCSR_matrix` like in `DNDarray`s or remove it completely.

[Feature-384 Sparse] Printing of DCSR_matrix

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**Related** Pending work in https://github.com/helmholtz-analytics/heat/pull/1028 **Feature functionality** Decide and implement a format for displaying `DCSR_matrix`

[Feature-384 Sparse] where parameter in `ht.__binary_op_sparse_csr`

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**Related** Pending work from https://github.com/helmholtz-analytics/heat/pull/1028 **Feature functionality** Implement `where` functionality for the sparse binary operator.

[Feature-384 Sparse] Copy and Ndim options in `ht.sparse_csr_matrix`

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**Related** Pending work from https://github.com/helmholtz-analytics/heat/pull/1028 **Feature functionality** Provide copy and ndim options in the `ht.sparse_csr_matrix` and implement to work like they do in `ht.array`