Please, trying to rebuild IJulia given I am not able to launch it via Anaconda navigator (I receive the red kernel error
). With the command Pkg.build("IJulia")
, below is the output:
INFO: Building Conda
INFO: Building MbedTLS
===============================[ ERROR: MbedTLS]============================
LoadError: unlink: operation not permitted (EPERM)
while loading C:\Users\s1364322\.julia\v0.6\MbedTLS\deps\build.jl, in expression starting on line 40
==============================================================================
INFO: Building ZMQ
INFO: Building IJulia
INFO: Installing Jupyter via the Conda package.
INFO: Found Jupyter version 4.3.0:
C:\Users\s1364322\.julia\v0.6\Conda\deps\usr\Scripts\jupyter
INFO: Installing Julia kernelspec julia-0.6
Error executing Jupyter command 'kernelspec': [Errno 'jupyter-kernelspec' not found] 2
[InstallKernelSpec] Removing existing kernelspec in
C:\Users\s1364322\AppData\Roaming\jupyter\kernels\julia-0.6
[InstallKernelSpec] Installed kernelspec julia-0.6 in
C:\Users\s1364322\AppData\Roaming\jupyter\kernels\julia-0.6
================================[ BUILD ERRORS]=============================
WARNING: MbedTLS had build errors.
- packages with build errors remain installed in C:\Users\s1364322\.julia\v0.6
- build the package(s) and all dependencies with Pkg.build("MbedTLS")
- build a single package by running its deps/build.jl script
===============================================================================
When I try Pkg.build("MbedTLS")
, the output is:
LoadError: unlink: operation not permitted (EPERM)
while loading C:\Users\s1364322\.julia\v0.6\MbedTLS\deps\build.jl, in expression starting on line 40
Please, how can I get the way around?
This is my version info:
Julia Version 0.6.0 Commit 903644385b* (2017-06-19 13:05 UTC) Platform Info: OS: Windows (x86_64-w64-mingw32) CPU: Intel(R) Core(TM) i5-6300U CPU @ 2.40GHz WORD_SIZE: 64 BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell) LAPACK: libopenblas64_ LIBM: libopenlibm LLVM: libLLVM-3.9.1 (ORCJIT, skylake)
Thanks for your help!