Fix numpy 1.20 incompatibility #6821
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Verified locally that numpy 1.20 works. |
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Are we still supporting numpy 1.20? If we are, presumably it should be covered in our min-versions CI? |
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If you do a temporary tweak ( |
We are supporting >=1.19. |
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We follow https://numpy.org/neps/nep-0029-deprecation_policy.html, can read more here https://docs.xarray.dev/en/stable/getting-started-guide/installing.html Seems we could increase the min numpy version if we wanted too. |
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Sorry, I just read through #6818, mea culpa. It's really unlucky to have a "hole" between releases that pass! If we've already done the work, then we may as well merge? And then after the next release we can bump the version, such that our latest release for numpy 1.20 works? |
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When we bump the minimum numpy version to 1.20 we should rework the |
Illviljan
approved these changes
Jul 24, 2022
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LGTM, besides the strange installation errors. Maybe someone with more mamba experience will take a look later.
Mypy failed, seems to want to install numpy-1.20.0 but that's not possible why doesn't it choose a newer version then?
Install environment xarray-tests from /home/runner/work/xarray/xarray/ci/requirements/environment.yml python=3.10...
Cache miss for key 'micromamba-env Linux-X64-py3.10-2022-07-24-b7008f581b91c136e7e14a8e2b297875a6afd1b313ce4c84183506595c080e9d file: 779c716f extra: e0a578e9'
create env xarray-tests
/usr/bin/bash -c micromamba create -n xarray-tests --strict-channel-priority -y --log-level warning "python=3.10" -f /home/runner/work/xarray/xarray/ci/requirements/environment.yml
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/ / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
/ /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
/ .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
/_/
Encountered problems while solving:
- package numpy-1.20.0-py37haa41c4c_0 requires python_abi 3.7.* *_cp37m, but none of the providers can be installed
The environment can't be solved, aborting the operation
error libmamba Could not solve for environment specs
critical libmamba UnsatisfiableError
Error: Failed to execute ["bash","-c","micromamba create -n xarray-tests --strict-channel-priority -y --log-level warning \"python=3.10\" -f /home/runner/work/xarray/xarray/ci/requirements/environment.yml"]
/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:56
throw Error(`Failed to execute ${JSON.stringify(command)}`)
^
Error: Failed to execute ["bash","-c","micromamba create -n xarray-tests --strict-channel-priority -y --log-level warning \"python=3.10\" -f /home/runner/work/xarray/xarray/ci/requirements/environment.yml"]
at executeShell (/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:56:11)
at processTicksAndRejections (node:internal/process/task_queues:96:5)
at async createOrUpdateEnv (/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:301:5)
at async installEnvironment (/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:363:5)
at async main (/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:442:5)
at async run (/home/runner/work/_actions/mamba-org/provision-with-micromamba/34071ca7df4983ccd272ed0d3625818b27b70dcc/dist/main/index.js:459:5)
The normal tests installs numpy=1.20.3 for some reason, why was that in this case possible?
Install environment xarray-tests from /home/runner/work/xarray/xarray/ci/requirements/environment.yml ...
Cache miss for key 'micromamba-env Linux-X64-py3.8-2022-07-24-b7008f581b91c136e7e14a8e2b297875a6afd1b313ce4c84183506595c080e9d file: 779c716f'
create env xarray-tests
/usr/bin/bash -c micromamba create -n xarray-tests --strict-channel-priority -y --log-level warning -f /home/runner/work/xarray/xarray/ci/requirements/environment.yml
__
__ ______ ___ ____ _____ ___ / /_ ____ _
/ / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
/ /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
/ .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
/_/
Transaction
Prefix: /home/runner/micromamba/envs/xarray-tests
Updating specs:
- aiobotocore
- boto3
- bottleneck
- cartopy
- cdms2
- cfgrib
- cftime
- dask-core
- distributed
- flox
- fsspec !=2021.7.0
- h5netcdf
- h5py
- hdf5
- hypothesis
- iris
- lxml
- matplotlib-base
- nc-time-axis
- netcdf4
- numba
- numexpr
- numpy=1.20
- packaging
- pandas
- pint
- pip
- pooch
- pre-commit
- pseudonetcdf
- pytest
- pytest-cov
- pytest-env
- pytest-xdist
- rasterio
- scipy
- seaborn
- sparse
- toolz
- typing_extensions
- zarr
Package Version Build Channel Size
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Install:
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+ pytz 2022.1 pyhd8ed1ab_0 conda-forge/noarch 248kB
+ pyyaml 6.0 py39hb9d737c_4 conda-forge/linux-64 183kB
+ rasterio 1.3.0 py39h082961e_0 conda-forge/linux-64 9MB
+ readline 8.1.2 h0f457ee_0 conda-forge/linux-64 298kB
+ requests 2.28.1 pyhd8ed1ab_0 conda-forge/noarch 54kB
+ s3transfer 0.5.2 pyhd8ed1ab_0 conda-forge/noarch 57kB
+ scipy 1.8.1 py39he49c0e8_0 conda-forge/linux-64 26MB
+ seaborn 0.11.2 hd8ed1ab_0 conda-forge/noarch 4kB
+ seaborn-base 0.11.2 pyhd8ed1ab_0 conda-forge/noarch 229kB
+ setuptools 63.2.0 py39hf3d152e_0 conda-forge/linux-64 1MB
+ shapely 1.8.2 py39h68ae834_3 conda-forge/linux-64 366kB
+ six 1.16.0 pyh6c4a22f_0 conda-forge/noarch 14kB
+ snappy 1.1.9 hbd366e4_1 conda-forge/linux-64 36kB
+ snuggs 1.4.7 py_0 conda-forge/noarch 8kB
+ sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge/noarch 26kB
+ sparse 0.13.0 pyhd8ed1ab_0 conda-forge/noarch 60kB
+ sqlite 3.39.2 h4ff8645_0 conda-forge/linux-64 2MB
+ statsmodels 0.13.2 py39hd257fcd_0 conda-forge/linux-64 12MB
+ tblib 1.7.0 pyhd8ed1ab_0 conda-forge/noarch 15kB
+ tiledb 2.9.5 h1e4a385_0 conda-forge/linux-64 4MB
+ tk 8.6.12 h27826a3_0 conda-forge/linux-64 3MB
+ toml 0.10.2 pyhd8ed1ab_0 conda-forge/noarch 18kB
+ tomli 2.0.1 pyhd8ed1ab_0 conda-forge/noarch 16kB
+ toolz 0.12.0 pyhd8ed1ab_0 conda-forge/noarch 49kB
+ tornado 6.1 py39hb9d737c_3 conda-forge/linux-64 665kB
+ traitlets 5.3.0 pyhd8ed1ab_0 conda-forge/noarch 87kB
+ typing-extensions 4.3.0 hd8ed1ab_0 conda-forge/noarch 8kB
+ typing_extensions 4.3.0 pyha770c72_0 conda-forge/noarch 29kB
+ tzcode 2022a h166bdaf_0 conda-forge/linux-64 71kB
+ tzdata 2022a h191b570_0 conda-forge/noarch 124kB
+ udunits2 2.2.28 hc3e0081_0 conda-forge/linux-64 165kB
+ ukkonen 1.0.1 py39hf939315_2 conda-forge/linux-64 12kB
+ unicodedata2 14.0.0 py39hb9d737c_1 conda-forge/linux-64 510kB
+ urllib3 1.26.10 pyhd8ed1ab_0 conda-forge/noarch 104kB
+ virtualenv 20.15.1 py39hf3d152e_0 conda-forge/linux-64 10MB
+ wheel 0.37.1 pyhd8ed1ab_0 conda-forge/noarch 32kB
+ wrapt 1.14.1 py39hb9d737c_0 conda-forge/linux-64 52kB
+ xarray 2022.6.0 pyhd8ed1ab_0 conda-forge/noarch 712kB
+ xerces-c 3.2.3 h55805fa_5 conda-forge/linux-64 2MB
+ xorg-fixesproto 5.0 h7f98852_1002 conda-forge/linux-64 9kB
+ xorg-inputproto 2.3.2 h7f98852_1002 conda-forge/linux-64 20kB
+ xorg-kbproto 1.0.7 h7f98852_1002 conda-forge/linux-64 27kB
+ xorg-libice 1.0.10 h7f98852_0 conda-forge/linux-64 59kB
+ xorg-libsm 1.2.3 hd9c2040_1000 conda-forge/linux-64 26kB
+ xorg-libx11 1.7.2 h7f98852_0 conda-forge/linux-64 963kB
+ xorg-libxau 1.0.9 h7f98852_0 conda-forge/linux-64 13kB
+ xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge/linux-64 19kB
+ xorg-libxext 1.3.4 h7f98852_1 conda-forge/linux-64 55kB
+ xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge/linux-64 18kB
+ xorg-libxi 1.7.10 h7f98852_0 conda-forge/linux-64 47kB
+ xorg-libxrender 0.9.10 h7f98852_1003 conda-forge/linux-64 33kB
+ xorg-renderproto 0.11.1 h7f98852_1002 conda-forge/linux-64 10kB
+ xorg-xextproto 7.3.0 h7f98852_1002 conda-forge/linux-64 28kB
+ xorg-xproto 7.0.31 h7f98852_1007 conda-forge/linux-64 75kB
+ xxhash 0.8.0 h7f98852_3 conda-forge/linux-64 88kB
+ xz 5.2.5 h516909a_1 conda-forge/linux-64 352kB
+ yaml 0.2.5 h7f98852_2 conda-forge/linux-64 89kB
+ yarl 1.7.2 py39hb9d737c_2 conda-forge/linux-64 136kB
+ zarr 2.12.0 pyhd8ed1ab_0 conda-forge/noarch 139kB
+ zict 2.2.0 pyhd8ed1ab_0 conda-forge/noarch 20kB
+ zipp 3.8.0 pyhd8ed1ab_0 conda-forge/noarch 12kB
+ zlib 1.2.12 h166bdaf_2 conda-forge/linux-64 93kB
+ zstd 1.5.2 h8a70e8d_2 conda-forge/linux-64 459kB
Summary:
Install: 282 packages
Total download: 457MB
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Illviljan
reviewed
Jul 24, 2022
4 tasks
|
Thanks, @headtr1ck ! |
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This PR removes the
_SupportsDTypedependency from numpy and introduces its own.Closes #6818