min-guk opened a new pull request, #2103:
URL: https://github.com/apache/systemds/pull/2103
This PR implements a new roll reorg function in CP and provides test scripts
using Python.
1. Implementation of roll function for dense and sparse matrices in CP,
along with test code
- Similar to `rev`, dense column vectors are rolled column-wise, while the
rest are rolled row-wise.
2. Support for Python test code and additional test cases
- Since R does not provide a `roll` function, baseline test scripts were
written using Python's numpy `roll` function.
- Added support for executing the test code in Python. Although there is
some overlap with the R script execution code, I avoided modifying or
refactoring the existing code to minimize changes.
- However, due to slight differences in the `mtx` format between R and
Python, I made the following modifications to the `mtx` file input/output code:
- `TestUtils::writeTestMatrix()`: The last number in the mtx header should
represent the number of non-zero elements in the matrix, but the previous input
test matrix was showing the total number of elements, which caused an error in
Python. (https://networkrepository.com/mtx-matrix-market-format.html)
- `TestUtils::readRMatrixFromFS()`: While R writes the mtx header in 2
lines, Python's scipy writes it in 3 lines, including an extra line with just a
%. I modified the code to ignore this blank line.
Please feel free to share any feedback or suggestions regarding the
implementation direction.
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