Concoct endless warning due to OpenBLAS

[HouyuZhang]

Dear devlopers,
Thank you for developing this package. I met endless warnings OpenBLAS Warning: Detect OpenMP Loop and this application may hang. Please rebuild the library with USE_OPENMP=1 option.
I have checked through each page on the internet related to this issue:

1. Have gone through GitHub endless OpenBLAS Warning #232, and I got a sense that the OpenMP and OpenBLAS modules have problems. But, neither of conda install -y blas=2.5=mkl, conda install -y blas=*=*mkl works for me.
2. endless OpenBLAS Warning again #316. I installed the concoct in a new environment using py3, instead of py2, but still did not work.
3. Request: Please create version with make USE_OPENMP=1  conda-forge/openblas-feedstock#79. I tried to install OpenBLAS and openMP against in conda by conda install libopenblas=*=openmp --channel conda-forge, not work.

Lastly, I used -t 1 to give up parallel running, but also did not work.

Do you have further suggestions on this issue? Also, it will help if you tell me an approximation of the running time of concoct.
Thanks in advance!

Houyu

[HouyuZhang]

Below is my conda env:
name: metawrap-env
channels:

intel
bioconda/label/cf201901
conda-forge
ursky
bioconda
defaults
dependencies:
_libgcc_mutex=0.1=conda_forge
_openmp_mutex=4.5=2_kmp_llvm
biopython=1.81=py310h1fa729e_0
blas=2.106=mkl
bowtie2=2.5.1=py310ha0a81b8_2
brotli=1.0.9=h166bdaf_9
brotli-bin=1.0.9=h166bdaf_9
brotli-python=1.0.9=py310hd8f1fbe_9
bwa=0.7.17=he4a0461_11
bzip2=1.0.8=h7f98852_4
c-ares=1.19.1=hd590300_0
ca-certificates=2023.7.22=hbcca054_0
certifi=2023.7.22=pyhd8ed1ab_0
charset-normalizer=3.2.0=pyhd8ed1ab_0
checkm-genome=1.2.2=pyhdfd78af_1
concoct=1.1.0=py310h74abf4b_3
contourpy=1.1.0=py310hd41b1e2_0
cycler=0.11.0=pyhd8ed1ab_0
cython=3.0.0=py310hc6cd4ac_0
dendropy=4.6.1=pyhdfd78af_0
fonttools=4.42.1=py310h2372a71_0
fraggenescan=1.31=h031d066_6
freetype=2.12.1=hca18f0e_1
gettext=0.21.1=h27087fc_0
gsl=2.7=he838d99_0
hmmer=3.3.2=hdbdd923_4
htslib=1.17=h81da01d_2
icu=72.1=hcb278e6_0
idba=1.1.3=1
idna=3.4=pyhd8ed1ab_0
intel-openmp=2023.1.0=hdb19cb5_46305
jellyfish=1.1.12=h2d50403_0
joblib=1.3.0=pyhd8ed1ab_1
keyutils=1.6.1=h166bdaf_0
kiwisolver=1.4.4=py310hbf28c38_1
kraken=1.1=h470a237_2
krb5=1.21.1=h659d440_0
krona=2.7=0
lcms2=2.15=haa2dc70_1
ld_impl_linux-64=2.40=h41732ed_0
lerc=4.0.0=h27087fc_0
libblas=3.9.0=6_mkl
libbrotlicommon=1.0.9=h166bdaf_9
libbrotlidec=1.0.9=h166bdaf_9
libbrotlienc=1.0.9=h166bdaf_9
libcblas=3.9.0=6_mkl
libcurl=8.2.0=hca28451_0
libdeflate=1.18=h0b41bf4_0
libedit=3.1.20191231=he28a2e2_2
libev=4.33=h516909a_1
libffi=3.4.2=h7f98852_5
libgcc=7.2.0=h69d50b8_2
libgcc-ng=13.1.0=he5830b7_0
libgfortran-ng=13.1.0=h69a702a_0
libgfortran5=13.1.0=h15d22d2_0
libgomp=13.1.0=he5830b7_0
libhwloc=2.9.1=nocuda_h7313eea_6
libiconv=1.17=h166bdaf_0
libidn2=2.3.4=h166bdaf_0
libjpeg-turbo=2.1.5.1=h0b41bf4_0
liblapack=3.9.0=6_mkl
liblapacke=3.9.0=6_mkl
libnghttp2=1.52.0=h61bc06f_0
libnsl=2.0.0=h7f98852_0
libopenblas=0.3.23=openmp_h2a4e791_0
libpng=1.6.39=h753d276_0
libsqlite=3.42.0=h2797004_0
libssh2=1.11.0=h0841786_0
libstdcxx-ng=13.1.0=hfd8a6a1_0
libtiff=4.5.1=h8b53f26_0
libunistring=0.9.10=h7f98852_0
libuuid=2.38.1=h0b41bf4_0
libwebp-base=1.3.1=hd590300_0
libxcb=1.15=h0b41bf4_0
libxml2=2.11.4=h0d562d8_0
libzlib=1.2.13=hd590300_5
llvm-openmp=16.0.6=h4dfa4b3_0
matplotlib-base=3.7.1=py310he60537e_0
maxbin2=2.2.1=0
metabat2=2.12.1=0
mkl=2020.4=h726a3e6_304
mpi=1.0=openmpi
munkres=1.0.7=py_1
ncurses=6.4=hcb278e6_0
nose=1.3.7=py_1006
numpy=1.25.1=py310ha4c1d20_0
openblas=0.3.23=openmp_hef934df_0
openjpeg=2.5.0=hfec8fc6_2
openmpi=4.1.5=h414af15_101
openssl=3.1.2=hd590300_0
packaging=23.1=pyhd8ed1ab_0
pandas=2.0.3=py310h7cbd5c2_1
perl=5.32.1=4_hd590300_perl5
perl-threaded=5.22.0=13
pillow=10.0.0=py310h582fbeb_0
pip=23.2.1=pyhd8ed1ab_0
platformdirs=3.9.1=pyhd8ed1ab_0
pooch=1.7.0=pyha770c72_3
pplacer=1.1.alpha19=h9ee0642_2
prodigal=2.6.3=h031d066_6
pthread-stubs=0.4=h36c2ea0_1001
pyparsing=3.1.1=pyhd8ed1ab_0
pysam=0.21.0=py310h41dec4a_1
pysocks=1.7.1=pyha2e5f31_6
python=3.10.12=hd12c33a_0_cpython
python-dateutil=2.8.2=pyhd8ed1ab_0
python-tzdata=2023.3=pyhd8ed1ab_0
python_abi=3.10=3_cp310
pytz=2023.3=pyhd8ed1ab_0
readline=8.2=h8228510_1
rename=1.601=hdfd78af_1
requests=2.31.0=pyhd8ed1ab_0
samtools=1.17=hd87286a_1
scikit-learn=1.2.2=py310hf7d194e_2
scipy=1.11.1=py310ha4c1d20_0
setuptools=68.0.0=pyhd8ed1ab_0
six=1.16.0=pyh6c4a22f_0
spades=3.13.0=0
sqlite=3.42.0=h2c6b66d_0
tbb=2021.9.0=hf52228f_0
threadpoolctl=3.2.0=pyha21a80b_0
tk=8.6.12=h27826a3_0
typing-extensions=4.7.1=hd8ed1ab_0
typing_extensions=4.7.1=pyha770c72_0
tzdata=2023c=h71feb2d_0
unicodedata2=15.0.0=py310h5764c6d_0
urllib3=2.0.4=pyhd8ed1ab_0
wget=1.20.3=ha35d2d1_1
wheel=0.41.0=pyhd8ed1ab_0
xorg-libxau=1.0.11=hd590300_0
xorg-libxdmcp=1.1.3=h7f98852_0
xz=5.2.6=h166bdaf_0
zlib=1.2.13=hd590300_5
zstd=1.5.2=hfc55251_7
prefix: /lustre/home/tangmoran_2021phd/anaconda3/envs/metawrap-env