install into global ~/.julia/conda directory #126
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…e can have multiple versions installed simultaneously for different projects
| @@ -1,16 +1,21 @@ | |||
| using Compat | |||
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| const condadir = abspath(homedir(), ".julia", "conda") | |||
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Why not joinpath(DEPOT_PATH[1], "conda")? But maybe it's fine since julia itself hard-codes ~/.julia/config/startup.jl https://github.com/JuliaLang/julia/blob/b519147d60683c3a0ed587925bb7221153b64b65/base/client.jl#L288
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Yes, I was following client.jl.
| end | ||
| if !isdefined(@__MODULE__, :MINICONDA_VERSION) | ||
| const MINICONDA_VERSION = "3" | ||
| end | ||
| if !isdefined(@__MODULE__, :ROOTENV) | ||
| const ROOTENV = joinpath(Main.condadir, MINICONDA_VERSION) |
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I suggested joinpath(Main.condadir, "base") and let conda control the Python version for each Julia environment #123 (comment). But I guess it's OK for a quick fix.
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It's still a separate base installation for python 2 and python 3, no? They have completely different miniconda installers.
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conda command installed in Miniconda3 can install any Python version registered in anaconda repo like 2.7. So, my thought was that, if you need Python 2 for Julia environment ~/.julia/environments/v1.0-with-py27 then you'd create conda environment ~/.julia/conda/envs/v1.0-with-py27 using ~/.julia/conda/base/bin/conda (which is interpreted by Python 3). But since such mechanism does not exist (and not easily implementable without package options), I thought switching Python 2 and 3 by ENV["CONDA_JL_VERSION"] is a valid workaround.
Fixes #123.
In the future, we should allow Pkg projects to use a separate Conda virtualenv and set of packages, but that seems like it will have to wait for persistent package options support (JuliaLang/Juleps#38 or similar).
Drops Julia 0.6 since in Julia 0.6 there is already a single global directory (
~/.julia/v0.6/Conda/deps/usr) and I don't think we want to move it.