Comments (2)
To be clear are you talking about just the Python package?
Currently our setup.py
expects to invoke bazelisk and doesn't have an option to directly specify a bazel binary to invoke instead. However, you can use the TENSORSTORE_BAZELISK
env var (https://google.github.io/tensorstore/installation.html#envvar-TENSORSTORE_BAZELISK) to specify a different python script to run in place of bazelisk.py. See for example this conda-forge recipe that uses that env var to specify a shim wrapper that is used to invoke a specific bazel binary:
https://github.com/conda-forge/tensorstore-feedstock/tree/main/recipe
Alternatively you could use TENSORSTORE_BAZEL_BUILD_OPTIONS
to specify --action_env=...
as needed.
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Yes, just the Python package.
Writing my own Python script just to wrap around my bazel installation sounds like a lot. There has to be a better way.
I found that I can create a symlink in tools/bazel
that points to me bazel installation and that works okay. Still surprised there isn't an env var to control this.
Also asked upstream: bazelbuild/bazelisk#560
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