Hi,
Thank you for the nice and useful fastspar tool. I would like to report and installation issue.
I am trying to install the tool using conda/mamba in a computing cluster. I am able to install the packages using conda, however, the function crashes when I execute it (see below). This does not happen if I install the version 0.0.10 using conda.
## Installation
> mamba create -n fastspar bioconda::fastspar=1.0.0 conda-forge::gsl conda-forge::libgomp
> conda activate fastspar
> fastspar
OMP: Error #13: Assertion failure at kmp_affinity.cpp(4756).
OMP: Hint Please submit a bug report with this message, compile and run commands used, and machine configuration info including native compiler and operating system versions. Faster response will be obtained by including all program sources. For information on submitting this issue, please see https://github.com/llvm/llvm-project/issues/.
Aborted (core dumped)
## Environment
# Name Version Build Channel
_openmp_mutex 4.5 7_kmp_llvm conda-forge
armadillo 14.6.3 h7dbe251_0 conda-forge
arpack 3.9.1 nompi_hf03ea27_102 conda-forge
fastspar 1.0.0 h1b620e3_6 bioconda
gsl 2.7 he838d99_0 conda-forge
libblas 3.11.0 5_h4a7cf45_openblas conda-forge
libcblas 3.11.0 5_h0358290_openblas conda-forge
libgcc 15.2.0 he0feb66_18 conda-forge
libgcc-ng 15.2.0 h69a702a_18 conda-forge
libgfortran 15.2.0 h69a702a_18 conda-forge
libgfortran-ng 15.2.0 h69a702a_18 conda-forge
libgfortran5 15.2.0 h68bc16d_18 conda-forge
libgomp 15.2.0 he0feb66_18 conda-forge
liblapack 3.11.0 5_h47877c9_openblas conda-forge
libopenblas 0.3.30 openmp_hd680484_4 conda-forge
libstdcxx 15.2.0 h934c35e_18 conda-forge
llvm-openmp 21.1.8 h4922eb0_0 conda-forge
openblas 0.3.30 openmp_hd77311e_4 conda-forge
superlu 5.2.2 h00795ac_0 conda-forge
Thank you for the help.
Hi,
Thank you for the nice and useful fastspar tool. I would like to report and installation issue.
I am trying to install the tool using conda/mamba in a computing cluster. I am able to install the packages using conda, however, the function crashes when I execute it (see below). This does not happen if I install the version 0.0.10 using conda.
Thank you for the help.