Warning when run truncation.py #3
Description
Hello, thank you for sharing your work. After I run the preprocess script truncation.py, I saw som warnings from console:
truncation.py:23: RuntimeWarning: divide by zero encountered in arctanh
fisher = np.arctanh(correlation_matrix)
Does it matter?
Thank you :)
My environment:
# packages in environment at /home/wangshu/miniconda3/envs/abide:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main defaults
_openmp_mutex 4.5 1_gnu defaults
blas 1.0 openblas defaults
ca-certificates 2021.7.5 h06a4308_1 defaults
certifi 2021.5.30 py36h06a4308_0 defaults
cffi 1.14.6 py36h400218f_0 defaults
charset-normalizer 2.0.4 pypi_0 pypi
crc32c 2.2.post0 pypi_0 pypi
cudatoolkit 10.0.130 0 defaults
cycler 0.10.0 py36_0 defaults
dbus 1.13.18 hb2f20db_0 defaults
deepdish 0.3.6 pypi_0 pypi
expat 2.4.1 h2531618_2 defaults
fontconfig 2.13.1 h6c09931_0 defaults
freetype 2.10.4 h5ab3b9f_0 defaults
glib 2.69.0 h5202010_0 defaults
gst-plugins-base 1.14.0 h8213a91_2 defaults
gstreamer 1.14.0 h28cd5cc_2 defaults
icu 58.2 he6710b0_3 defaults
idna 3.2 pypi_0 pypi
intel-openmp 2021.3.0 h06a4308_3350 defaults
joblib 1.0.1 pypi_0 pypi
jpeg 9b h024ee3a_2 defaults
kiwisolver 1.3.1 py36h2531618_0 defaults
lcms2 2.12 h3be6417_0 defaults
ld_impl_linux-64 2.35.1 h7274673_9 defaults
libffi 3.3 he6710b0_2 defaults
libgcc-ng 9.3.0 h5101ec6_17 defaults
libgfortran-ng 7.5.0 ha8ba4b0_17 defaults
libgfortran4 7.5.0 ha8ba4b0_17 defaults
libgomp 9.3.0 h5101ec6_17 defaults
libopenblas 0.3.13 h4367d64_0 defaults
libpng 1.6.37 hbc83047_0 defaults
libstdcxx-ng 9.3.0 hd4cf53a_17 defaults
libtiff 4.2.0 h85742a9_0 defaults
libuuid 1.0.3 h1bed415_2 defaults
libwebp-base 1.2.0 h27cfd23_0 defaults
libxcb 1.14 h7b6447c_0 defaults
libxml2 2.9.12 h03d6c58_0 defaults
lz4-c 1.9.3 h295c915_1 defaults
matplotlib 3.3.4 py36h06a4308_0 defaults
matplotlib-base 3.3.4 py36h62a2d02_0 defaults
mkl 2021.3.0 h06a4308_520 defaults
ncurses 6.2 he6710b0_1 defaults
nibabel 3.2.1 pypi_0 pypi
nilearn 0.6.2 pypi_0 pypi
ninja 1.10.2 hff7bd54_1 defaults
numexpr 2.7.3 pypi_0 pypi
numpy 1.17.0 py36h99e49ec_0 defaults
numpy-base 1.17.0 py36h2f8d375_0 defaults
olefile 0.46 py36_0 defaults
openjpeg 2.3.0 h05c96fa_1 defaults
openssl 1.1.1k h27cfd23_0 defaults
packaging 21.0 pypi_0 pypi
pandas 1.1.5 pypi_0 pypi
pcre 8.45 h295c915_0 defaults
pillow 8.3.1 py36h2c7a002_0 defaults
pip 21.2.2 py36h06a4308_0 defaults
protobuf 3.17.3 pypi_0 pypi
pycparser 2.20 py_2 defaults
pyparsing 2.4.7 pyhd3eb1b0_0 defaults
pyqt 5.9.2 py36h05f1152_2 defaults
python 3.6.13 h12debd9_1 defaults
python-dateutil 2.8.2 pyhd3eb1b0_0 defaults
pytorch 1.1.0 py3.6_cuda10.0.130_cudnn7.5.1_0 pytorch
pytz 2021.1 pypi_0 pypi
qt 5.9.7 h5867ecd_1 defaults
readline 8.1 h27cfd23_0 defaults
requests 2.26.0 pypi_0 pypi
scikit-learn 0.24.2 pypi_0 pypi
scipy 1.5.4 pypi_0 pypi
setuptools 52.0.0 py36h06a4308_0 defaults
sip 4.19.8 py36hf484d3e_0 defaults
six 1.16.0 pyhd3eb1b0_0 defaults
sklearn 0.0 pypi_0 pypi
sqlite 3.36.0 hc218d9a_0 defaults
tables 3.6.1 pypi_0 pypi
tensorboardx 2.4 pypi_0 pypi
threadpoolctl 2.2.0 pypi_0 pypi
tk 8.6.10 hbc83047_0 defaults
torchvision 0.3.0 py36_cu10.0.130_1 pytorch
tornado 6.1 py36h27cfd23_0 defaults
urllib3 1.26.6 pypi_0 pypi
wheel 0.36.2 pyhd3eb1b0_0 defaults
xz 5.2.5 h7b6447c_0 defaults
zlib 1.2.11 h7b6447c_3 defaults
zstd 1.4.9 haebb681_0 defaults