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Try to resolve issues for x86 Windows #1045
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Shouldn't Conda.jl just ignore this flag in that case?
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In most cases, I would want Conda.jl to error rather than silenting ignoring the keyword. The caller should either anticipate the error or handle the error.
Here, I'm just trying to maintain backwards compatability for a very specific situation, 32-bit Windows, which upstream conda no longer supports.
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I'm not 100% convinced that an error is the behavior
Conda.add
users would want.The
satisfied_skip_solve
flag in practice mostly seems like an optional hint to speed things up, as it is used here, and it's a bit ugly that callers of Conda.jl will have to know about and implement the 32-bit windows exception themselves.There was a problem hiding this comment.
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The critical feature here is not to speed things up, but rather maintain the current version of numpy if already installed.
@MilesCranmer encountered the original issue when working with a conda-forge recipe. Conda-forge tries to depend on the oldest numpy possible for compatibility, but this was inadvertently upgrading numpy to the latest version. This created a binary package cobbling situation.
--satisfied-skip-solve
is an important feature supported by all current releases of miniconda and miniforge. At minimum at warning would be needed if this not succeed. Otherwise, we may be doing something the user did not intend.Honestly, my preferred solution is to stop supporting conda on 32-bit Windows and Python 2.7 entirely due to lack of upstream support. However, this incompatibility occurred without warning.
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I also see this as the best solution.