Numpy v2 #584
Numpy v2 #584
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/condalock |
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| @@ -215,9 +214,7 @@ gcc_impl_linux-64==13.3.0 | |||
| gcc_linux-64==13.3.0 | |||
| gcm_filters==0.3.0 | |||
| gcsfs==2024.9.0 | |||
| gdal==3.9.2 | |||
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Interesting, gdal command line tools it turns out have been coming from pyogrio, with the latest release it's just libgdal-core dependency https://github.com/geopandas/pyogrio/releases/tag/v0.10.0
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Not just pyogrio but also rasterio has switched to libgdal-core, see conda-forge/pyogrio-feedstock#48 and conda-forge/rasterio-feedstock#303.
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/condalock |
| @@ -215,9 +214,7 @@ gcc_impl_linux-64==13.3.0 | |||
| gcc_linux-64==13.3.0 | |||
| gcm_filters==0.3.0 | |||
| gcsfs==2024.9.0 | |||
| gdal==3.9.2 | |||
There was a problem hiding this comment.
Not just pyogrio but also rasterio has switched to libgdal-core, see conda-forge/pyogrio-feedstock#48 and conda-forge/rasterio-feedstock#303.
| # temporarily drop for numpy>=2 (can use xvec instead) | ||
| #- geocube |
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Interesting, so geocube pinned to numpy<2 here - corteva/geocube#175, but the incompatibility should have been fixed in rasterio 1.4 at rasterio/rasterio#3109 if I'm reading correctly. Could open an issue on geocube to check, but ok to temporarily remove for now.
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but the incompatibility should have been fixed in rasterio 1.4 at rasterio/rasterio#3109 if I'm reading correctly. Could open an issue on geocube to check, but ok to temporarily remove for now.
That would be great! I took the lazy approach just to see if this was the last remaining hold-out :)
Bring numpy v2 to pangeo-notebook. And nano by popular demand #576 :)