jgrss/store #189
jgrss/store #189
Conversation
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@mmann1123 No rush on this, but I think this is getting close. |
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@mmann1123 FYI, ML tests are turned off because they are failing and I haven't had time to look at them. |
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@jgrss I am throwing an error on install pip install git+https://github.com/jgrss/geowombat.git@jgrss/store
ERROR: Could not find a version that satisfies the requirement xarray>=2022.6.0 (from geowombat==1.11.4) (from versions: 0.7.0, 0.7.1, 0.7.2, 0.8.0rc1, 0.8.0, 0.8.1, 0.8.2, 0.9.0rc1, 0.9.0, 0.9.1, 0.9.2, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.10.0rc1, 0.10.0rc2, 0.10.0, 0.10.1, 0.10.2, 0.10.3, 0.10.4, 0.10.5, 0.10.6, 0.10.7, 0.10.8, 0.10.9, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0, 0.12.1, 0.12.2, 0.12.3, 0.13.0, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.18.0, 0.18.1, 0.18.2, 0.19.0, 0.20.0, 0.20.1, 0.20.2)
ERROR: No matching distribution found for xarray>=2022.6.0 (from geowombat==1.11.4) |
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@jgrss I am going to try in docker - maybe just something on my end. |
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@jgrss Ok installed fine on docker and seems to be running smoothly. I did run into an issue with |
| @@ -408,21 +430,21 @@ def mosaic( | |||
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| darray = xr.where((darray.mean(dim='band') == nodata) & (darrayb.mean(dim='band') != nodata), darrayb, | |||
| xr.where((darray.mean(dim='band') != nodata) & (darrayb.mean(dim='band') == nodata), darray, | |||
| xr_mininum(darray, darrayb))) | |||
| np.mininum(darray, darrayb))) | |||
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ok good to see this... maybe this resolves the conda issue
src/geowombat/core/geoxarray.py
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| Args: | ||
| filename (str | Path): The output file name to write to. | ||
| overwrite (Optional[bool]): Whether to overwrite an existing file. Default is False. | ||
| client (Optional[Client object]): A client object to persist data. Default is None. |
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is this a reference to a dask client?
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Thanks, I updated this docstring.
| filename (str | Path): The output file name to write to. | ||
| overwrite (Optional[bool]): Whether to overwrite an existing file. Default is False. | ||
| client (Optional[Client object]): A client object to persist data. Default is None. | ||
| compute (Optinoal[bool]): Whether to compute and write to ``filename``. Otherwise, return |
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I'd be explicit
compute (Optinoal[bool]): If True, compute and write to ``filename``. If False, return the ``dask`` task graph. Default is ``True``.
What is this PR changing?
This PR adds:
save()methodnumpyarrays