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issue 1
- polyval: Use Horner's algorithm + support chunked inputs · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1118960785 | https://github.com/pydata/xarray/pull/6548#issuecomment-1118960785 | https://api.github.com/repos/pydata/xarray/issues/6548 | IC_kwDOAMm_X85CsfyR | dcherian 2448579 | 2022-05-05T19:17:24Z | 2022-05-05T19:17:24Z | MEMBER | Forcing the user to be explicit reduces bugs and user support requests :) so we like to do that. Thanks again @headtr1ck this is a great PR! |
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polyval: Use Horner's algorithm + support chunked inputs 1221848774 | |
| 1115117344 | https://github.com/pydata/xarray/pull/6548#issuecomment-1115117344 | https://api.github.com/repos/pydata/xarray/issues/6548 | IC_kwDOAMm_X85Cd1cg | dcherian 2448579 | 2022-05-02T16:52:59Z | 2022-05-02T16:52:59Z | MEMBER | Nice this looks like an improvement for everything other than dask arrays with only 100 elements, which is not a good use-case for dask. I was slightly concerned that the recrusive algorithm wouldn't work well with dask but it does seem to work better. ``` python def other_polyval(coord, coeffs, degree_dim="degree"): x = coord.data
coeffs = xr.DataArray(np.random.randn(2), dims="degree")
da = xr.DataArray(dask.array.random.random((10**6), chunks=(10000)), dims=("x"))
print(len(da.data.dask))
print(len(xr.polyval(da, coeffs).data.dask))
print(len(other_polyval(da, coeffs).data.dask))
|
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polyval: Use Horner's algorithm + support chunked inputs 1221848774 |
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