GEOPY-2274: update scikit-learn to >=1.5.0 addressing potential vulnerability#243
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GEOPY-2274: update scikit-learn to >=1.5.0 addressing potential vulnerability#243
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sebhmg
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wrong upper version constraint in recipe
sebhmg
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# Conflicts: # environments/py-3.10-linux-64-dev.conda.lock.yml # environments/py-3.10-linux-64.conda.lock.yml # environments/py-3.10-win-64-dev.conda.lock.yml # environments/py-3.10-win-64.conda.lock.yml # environments/py-3.11-linux-64-dev.conda.lock.yml # environments/py-3.11-linux-64.conda.lock.yml # environments/py-3.11-win-64-dev.conda.lock.yml # environments/py-3.11-win-64.conda.lock.yml # environments/py-3.12-linux-64-dev.conda.lock.yml # environments/py-3.12-linux-64.conda.lock.yml # environments/py-3.12-win-64-dev.conda.lock.yml # environments/py-3.12-win-64.conda.lock.yml # py-3.10.conda-lock.yml # py-3.11.conda-lock.yml # py-3.12.conda-lock.yml
sebhmg
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do not revert the merge of develop, as it will apply that revert when merging back to develop, effectively resulting in reverting code from the develop
…ope all is well at runtime... openmp will weight some more on disk, and it is unclear if simpeg using mkl will play well with numpy using openblas. See the origin of the problem here: conda-forge/conda-forge-repodata-patches-feedstock#1057
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GEOPY-2274 - update scikit-learn to >=1.5.0 addressing potential vulnerability
update recipe.yml