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- to_zarr fails for large dimensions; sensitive to exact dimension size and chunk size · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1142597646 | https://github.com/pydata/xarray/issues/6640#issuecomment-1142597646 | https://api.github.com/repos/pydata/xarray/issues/6640 | IC_kwDOAMm_X85EGqgO | JamiePringle 12818667 | 2022-05-31T20:13:26Z | 2022-05-31T20:13:26Z | NONE | I have had a few other odd indexing issues with large arrays. It almost feels as if somewhere, the sizes are forced to be a fixed size integer or something. On Tue, May 31, 2022 at 3:34 PM Deepak Cherian @.***> wrote:
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to_zarr fails for large dimensions; sensitive to exact dimension size and chunk size 1249638836 | |
1142516331 | https://github.com/pydata/xarray/issues/6640#issuecomment-1142516331 | https://api.github.com/repos/pydata/xarray/issues/6640 | IC_kwDOAMm_X85EGWpr | JamiePringle 12818667 | 2022-05-31T18:36:47Z | 2022-05-31T18:36:47Z | NONE | My apologies @dcherian, in commenting the code, I switched "FAILS" and "WORKS" -- the size that fails is I have edited the example code above, and it should fail when run. I have made a test environment with the versions you suggested, and with maxNumObs=1, and it still fails with the same error. Jamie |
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to_zarr fails for large dimensions; sensitive to exact dimension size and chunk size 1249638836 |
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