using PyPlot hangs/kills julia 1.8.5 or 1.9.0 on MacOS
還沒有人認領這個 Issue。
評估
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 新手友好度
- 35/100
- Issue 類型
- 缺陷
- 描述清晰度
- 需要釐清
- 活躍度
- 停滯
- 技術堆疊
- python
研究方向
使用提供的 Julia 1.8/1.9 啟動命令、LD_LIBRARY_PATH，以及在 macOS 上依序執行 using Conda、using PyCall 和 using PyPlot，重現該故障。檢查回報中的 Conda matplotlib 安裝以及先前的 MKL dylib 衝突；當 using PyPlot 完成且未發生掛起或以 Killed: 9 結束時，即表示完成。
由索引模型根據 Issue 內容生成。
描述
using PyPlot hangs or kills julia 1.8.5 or 1.9.0 on MacOS
Synopsis
using PyPlot hangs julia. No progress for >10 hours. No error message. User ^C exits julia with Killed: 9.
With repeated testing, behavior has evolved to crash immediately with Killed: 9, where it had hung.
Demonstration
Carefully recursively force-removed the conda directory $HOME/.julia/conda, which seems to be shared between julia 1.8 and 1.9.
Start julia, making sure dynamic dependencies are consistent with the conda python installation.
LD_LIBRARY_PATH="$HOME/.julia/conda/3/lib" /Applications/Julia-1.8.app/Contents/Resources/julia/bin/julia
or
LD_LIBRARY_PATH="$HOME/.julia/conda/3/lib" /Applications/Julia-1.9.app/Contents/Resources/julia/bin/julia
Make sure julia is using the conda python distribution and build PyCall.
ENV["PYTHON"]=""
]build PyCall
Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/e32a90da027ca45d84678b826fffd3110bb3fc90/build.log`
Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/62f417f6ad727987c755549e9cd88c46578da562/build.log`
...
Quit and restart julia, then run
using PyPlot
Since we started by wiping ~/.julia/conda, matplotlib is not installed. Conda is automatically deployed to install it:
[ Info: Installing matplotlib via the Conda matplotlib package...
[ Info: Running `conda install -y matplotlib` in root environment
...
Executing transaction: done
It hangs there.
Kill julia with ^C -> Killed: 9.
Try again now that matplotlib is installed:
LD_LIBRARY_PATH="$HOME/.julia/conda/3/lib" /Applications/Julia-1.8.app/Contents/Resources/julia/bin/julia
ENV["PYTHON"]=""
using PyPlot
Result: It just hangs immediately. So, I think probably conda installs matplotlib (maybe OK?), but julia is unable to use it.
I have to kill julia with ^C -> Killed: 9.
Trying again.
LD_LIBRARY_PATH="$HOME/.julia/conda/3/lib" /Applications/Julia-1.8.app/Contents/Resources/julia/bin/julia
ENV["PYTHON"]=""
using Conda # returns
using PyCall # returns
using PyPlot # crashes
Killed: 9
Crashes and exits.
Even wiping .julia/conda again, it just crashes now with Killed: 9
Background
PyPlot had previously been working for me.
The first sign of trouble was an MKL dylib conflict error message and crash when running using PyPlot.
Unfortunately after many ^Cs I can't find that error message.
I updated julia's conda after that. Then I got the behavior reported above.
- 主要語言
- Julia
- 星號
- 489
- 分支
- 89
- PR 合併指標
- 30 天內沒有已合併 PR
環境準備
這個專案沒有提供開發容器、Dockerfile 或貢獻指南，環境需要你自己搭建：先看它的 README，通用步驟見我們的新手貢獻指南。
從這裡開始
- 先讀完整個 Issue，再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫，在一個分支上完成修改。
- 送出 Pull Request，並在描述裡引用這個 Issue 編號。
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