CI: speed up Conda workflows #2169
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The Conda cache is separate from the pip cache.
Conda usually fails intermittently, so do not cancel the other Conda jobs when a job fails.
Configure Conda to prefer packages from the cache.
This was pinned during the development of 1.9, so unpin it now.
This hopefully speeds up the CI.
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Reason for this pull request
Use a separate cache for each Python version, and make Conda use that cache instead of downloading all packages each invocation.
Configure Conda to use 2 threads for the solving which should speed things up a bit.
Also stop cancelling the Conda jobs when one of them fails since they fail intermittently most of the time, and unpin minizip that was pinned during the 1.9 development phase.
Proposed changes
Closes #xxxx
Tests added / passed
Pull Request Title will make sense in ODC Release Notes
📚 Documentation preview 📚: https://opendatacube--2169.org.readthedocs.build/en/2169/