Open royqh1979 opened 1 year ago
I do get this deprecationwarning, but can't reproduce the issue, the plots are generated quite fast.
Deprecation error:
/home/oriol/bin/miniconda3/envs/py311-test/lib/python3.11/site-packages/arviz/utils.py:184: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.
numba_fn = numba.jit(**self.kwargs)(self.function)
My env:
❯ conda list
# packages in environment at /home/oriol/bin/miniconda3/envs/py311-test:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
arviz 0.15.1 pypi_0 pypi
bzip2 1.0.8 h7f98852_4 conda-forge
ca-certificates 2023.5.7 hbcca054_0 conda-forge
cachetools 5.3.0 pypi_0 pypi
cloudpickle 2.2.1 pypi_0 pypi
cons 0.4.5 pypi_0 pypi
contourpy 1.0.7 pypi_0 pypi
cycler 0.11.0 pypi_0 pypi
etuples 0.3.8 pypi_0 pypi
fastprogress 1.0.3 pypi_0 pypi
filelock 3.12.0 pypi_0 pypi
fonttools 4.39.4 pypi_0 pypi
h5netcdf 1.1.0 pypi_0 pypi
h5py 3.8.0 pypi_0 pypi
kiwisolver 1.4.4 pypi_0 pypi
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
libexpat 2.5.0 hcb278e6_1 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libsqlite 3.41.2 h2797004_1 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
llvmlite 0.40.0 pypi_0 pypi
logical-unification 0.4.6 pypi_0 pypi
matplotlib 3.7.1 pypi_0 pypi
minikanren 1.0.3 pypi_0 pypi
multipledispatch 0.6.0 pypi_0 pypi
ncurses 6.3 h27087fc_1 conda-forge
numba 0.57.0 pypi_0 pypi
numpy 1.24.3 pypi_0 pypi
openssl 3.1.0 hd590300_3 conda-forge
packaging 23.1 pypi_0 pypi
pandas 2.0.1 pypi_0 pypi
pillow 9.5.0 pypi_0 pypi
pip 23.1.2 pyhd8ed1ab_0 conda-forge
pymc 5.3.1 pypi_0 pypi
pyparsing 3.0.9 pypi_0 pypi
pytensor 2.11.3 pypi_0 pypi
python 3.11.3 h2755cc3_0_cpython conda-forge
python-dateutil 2.8.2 pypi_0 pypi
pytz 2023.3 pypi_0 pypi
readline 8.2 h8228510_1 conda-forge
scipy 1.10.1 pypi_0 pypi
setuptools 67.7.2 pyhd8ed1ab_0 conda-forge
six 1.16.0 pypi_0 pypi
tk 8.6.12 h27826a3_0 conda-forge
toolz 0.12.0 pypi_0 pypi
typing-extensions 4.5.0 pypi_0 pypi
tzdata 2023.3 pypi_0 pypi
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
xarray 2023.4.2 pypi_0 pypi
xarray-einstats 0.5.1 pypi_0 pypi
xz 5.2.6 h166bdaf_0 conda-forge
I used conda+conda-forge to create the env and install python 3.11, then installed everything with pip. Is everything else related to numba working correctly?
Regarding the NumbaDeprecationWarning
, should we open a new issue to explicitly include the nopython
keyword argument in arviz/utils.py:184
?
We could try that and see if anything breaks. Can you send a PR @guin0x ?
@OriolAbril I tried changing that line to numba_fn = numba.jit(nopython=False, **self.kwargs)(self.function)
but I got errors like TypeError: numba.core.decorators.jit() got multiple values for keyword argument 'nopython'
(I believe this happens because the nopython
keyword is already within self.kwargs
) Not sure how to fix this, sorry :(
Let's see if this works https://github.com/arviz-devs/arviz/pull/2246
It seems like it failed the same tests that I did :/
I am having this error too. Using the same script (pymc first example), it gets stuck somewhere withing the plot_posterior
function.
I do not get any warning. These are my packages.
# packages in environment at C:\ProgramData\anaconda3:
#
# Name Version Build Channel
alabaster 0.7.12 pyhd3eb1b0_0
anaconda-client 1.11.2 py310haa95532_0
anaconda-navigator 2.4.0 py310haa95532_0
anaconda-project 0.11.1 py310haa95532_0
anyio 3.5.0 py310haa95532_0
appdirs 1.4.4 pyhd3eb1b0_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py310h2bbff1b_0
arrow 1.2.3 py310haa95532_1
arviz 0.15.1 pyhd8ed1ab_0 conda-forge
astroid 2.14.2 py310haa95532_0
astropy 5.1 py310h9128911_0
asttokens 2.0.5 pyhd3eb1b0_0
atomicwrites 1.4.0 py_0
attrs 22.1.0 py310haa95532_0
automat 20.2.0 py_0
autopep8 1.6.0 pyhd3eb1b0_1
babel 2.11.0 py310haa95532_0
backcall 0.2.0 pyhd3eb1b0_0
backports 1.1 pyhd3eb1b0_0
backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0
backports.tempfile 1.0 pyhd3eb1b0_1
backports.weakref 1.0.post1 py_1
bcrypt 3.2.0 py310h2bbff1b_1
beautifulsoup4 4.11.1 py310haa95532_0
binaryornot 0.4.4 pyhd3eb1b0_1
black 22.6.0 py310haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blosc 1.21.3 h6c2663c_0
bokeh 2.4.3 py310haa95532_0
boltons 23.0.0 py310haa95532_0
bottleneck 1.3.5 py310h9128911_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py310h2bbff1b_1002
bzip2 1.0.8 he774522_0
ca-certificates 2023.5.7 h56e8100_0 conda-forge
cachetools 5.3.0 pyhd8ed1ab_0 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py310h2bbff1b_3
cfitsio 3.470 h2bbff1b_7
chardet 4.0.0 py310haa95532_1003
charls 2.2.0 h6c2663c_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.4 py310haa95532_0
cloudpickle 2.0.0 pyhd3eb1b0_0
clyent 1.2.2 py310haa95532_1
colorama 0.4.6 py310haa95532_0
colorcet 3.0.1 py310haa95532_0
comm 0.1.2 py310haa95532_0
conda 23.3.1 py310haa95532_0
conda-build 3.24.0 py310haa95532_0
conda-content-trust 0.1.3 py310haa95532_0
conda-pack 0.6.0 pyhd3eb1b0_0
conda-package-handling 2.0.2 py310haa95532_0
conda-package-streaming 0.7.0 py310haa95532_0
conda-repo-cli 1.0.41 py310haa95532_0
conda-token 0.4.0 pyhd3eb1b0_0
conda-verify 3.4.2 py_1
cons 0.4.6 pyhd8ed1ab_0 conda-forge
console_shortcut 0.1.1 4
constantly 15.1.0 py310haa95532_0
contourpy 1.0.5 py310h59b6b97_0
cookiecutter 1.7.3 pyhd3eb1b0_0
cryptography 39.0.1 py310h21b164f_0
cssselect 1.1.0 pyhd3eb1b0_0
curl 7.87.0 h2bbff1b_0
cycler 0.11.0 pyhd3eb1b0_0
cytoolz 0.12.0 py310h2bbff1b_0
daal4py 2023.0.2 py310hf497b98_0
dal 2023.0.1 h59b6b97_26646
dask 2022.7.0 py310haa95532_0
dask-core 2022.7.0 py310haa95532_0
datashader 0.14.4 py310haa95532_0
datashape 0.5.4 py310haa95532_1
debugpy 1.5.1 py310hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
diff-match-patch 20200713 pyhd3eb1b0_0
dill 0.3.6 py310haa95532_0
distributed 2022.7.0 py310haa95532_0
docstring-to-markdown 0.11 py310haa95532_0
docutils 0.18.1 py310haa95532_3
entrypoints 0.4 py310haa95532_0
et_xmlfile 1.1.0 py310haa95532_0
etuples 0.3.9 pyhd8ed1ab_0 conda-forge
executing 0.8.3 pyhd3eb1b0_0
fastprogress 1.0.3 pyhd8ed1ab_0 conda-forge
filelock 3.9.0 py310haa95532_0
flake8 6.0.0 py310haa95532_0
flask 2.2.2 py310haa95532_0
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
fsspec 2022.11.0 py310haa95532_0
future 0.18.3 py310haa95532_0
gensim 4.3.0 py310h4ed8f06_0
giflib 5.2.1 h8cc25b3_3
glib 2.69.1 h5dc1a3c_2
glob2 0.7 pyhd3eb1b0_0
greenlet 2.0.1 py310hd77b12b_0
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5netcdf 1.2.0 pyhd8ed1ab_0 conda-forge
h5py 3.7.0 py310hfc34f40_0
hdf5 1.10.6 h1756f20_1
heapdict 1.0.1 pyhd3eb1b0_0
holoviews 1.15.4 py310haa95532_0
huggingface_hub 0.10.1 py310haa95532_0
hvplot 0.8.2 py310haa95532_0
hyperlink 21.0.0 pyhd3eb1b0_0
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.4 py310haa95532_0
imagecodecs 2021.8.26 py310h4c966c4_2
imageio 2.26.0 py310haa95532_0
imagesize 1.4.1 py310haa95532_0
imbalanced-learn 0.10.1 py310haa95532_0
importlib-metadata 4.11.3 py310haa95532_0
importlib_metadata 4.11.3 hd3eb1b0_0
incremental 21.3.0 pyhd3eb1b0_0
inflection 0.5.1 py310haa95532_0
iniconfig 1.1.1 pyhd3eb1b0_0
intake 0.6.7 py310haa95532_0
intel-openmp 2021.4.0 haa95532_3556
intervaltree 3.1.0 pyhd3eb1b0_0
ipykernel 6.19.2 py310h9909e9c_0
ipython 8.10.0 py310haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 pyhd3eb1b0_1
isort 5.9.3 pyhd3eb1b0_0
itemadapter 0.3.0 pyhd3eb1b0_0
itemloaders 1.0.4 pyhd3eb1b0_1
itsdangerous 2.0.1 pyhd3eb1b0_0
jedi 0.18.1 py310haa95532_1
jellyfish 0.9.0 py310h2bbff1b_0
jinja2 3.1.2 py310haa95532_0
jinja2-time 0.2.0 pyhd3eb1b0_3
jmespath 0.10.0 pyhd3eb1b0_0
joblib 1.1.1 py310haa95532_0
jpeg 9e h2bbff1b_1
jq 1.6 haa95532_1
json5 0.9.6 pyhd3eb1b0_0
jsonpatch 1.32 pyhd3eb1b0_0
jsonpointer 2.1 pyhd3eb1b0_0
jsonschema 4.17.3 py310haa95532_0
jupyter 1.0.0 py310haa95532_8
jupyter_client 7.3.4 py310haa95532_0
jupyter_console 6.6.2 py310haa95532_0
jupyter_core 5.2.0 py310haa95532_0
jupyter_server 1.23.4 py310haa95532_0
jupyterlab 3.5.3 py310haa95532_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.19.0 py310haa95532_0
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
jxrlib 1.1 he774522_2
keyring 23.4.0 py310haa95532_0
kiwisolver 1.4.4 py310hd77b12b_0
lazy-object-proxy 1.6.0 py310h2bbff1b_0
lcms2 2.12 h83e58a3_0
lerc 3.0 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libarchive 3.6.2 hebabd0d_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 12.0.0 default_h627e005_2
libcurl 7.87.0 h86230a5_0
libdeflate 1.17 h2bbff1b_0
libffi 3.4.2 hd77b12b_6
libiconv 1.16 h2bbff1b_2
liblief 0.12.3 hd77b12b_0
libogg 1.3.5 h2bbff1b_1
libpng 1.6.39 h8cc25b3_0
libpython 2.2 py310h5588dad_2 conda-forge
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h6c2663c_0
libssh2 1.10.0 hcd4344a_0
libtiff 4.5.0 h6c2663c_2
libuv 1.44.2 h2bbff1b_0
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 hbc33d0d_1
libwebp-base 1.2.4 h2bbff1b_1
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
libzopfli 1.0.3 ha925a31_0
llvmlite 0.39.1 py310h23ce68f_0
locket 1.0.0 py310haa95532_0
logical-unification 0.4.6 pyhd8ed1ab_0 conda-forge
lxml 4.9.1 py310h1985fb9_0
lz4 3.1.3 py310h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
lzo 2.10 he774522_2
m2-msys2-runtime 2.5.0.17080.65c939c 3
m2-patch 2.7.5 2
m2w64-binutils 2.25.1 5 conda-forge
m2w64-bzip2 1.0.6 6 conda-forge
m2w64-crt-git 5.0.0.4636.2595836 2 conda-forge
m2w64-gcc 5.3.0 6 conda-forge
m2w64-gcc-ada 5.3.0 6 conda-forge
m2w64-gcc-fortran 5.3.0 6 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gcc-objc 5.3.0 6 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-headers-git 5.0.0.4636.c0ad18a 2 conda-forge
m2w64-isl 0.16.1 2 conda-forge
m2w64-libiconv 1.14 6 conda-forge
m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-make 4.1.2351.a80a8b8 2 conda-forge
m2w64-mpc 1.0.3 3 conda-forge
m2w64-mpfr 3.1.4 4 conda-forge
m2w64-pkg-config 0.29.1 2 conda-forge
m2w64-toolchain 5.3.0 7 conda-forge
m2w64-toolchain_win-64 2.5.0 h57928b3_0 conda-forge
m2w64-tools-git 5.0.0.4592.90b8472 2 conda-forge
m2w64-windows-default-manifest 6.4 3 conda-forge
m2w64-winpthreads-git 5.0.0.4634.697f757 2 conda-forge
m2w64-zlib 1.2.8 10 conda-forge
markdown 3.4.1 py310haa95532_0
markupsafe 2.1.1 py310h2bbff1b_0
matplotlib 3.7.0 py310haa95532_0
matplotlib-base 3.7.0 py310h4ed8f06_0
matplotlib-inline 0.1.6 py310haa95532_0
mccabe 0.7.0 pyhd3eb1b0_0
menuinst 1.4.19 py310h59b6b97_0
minikanren 1.0.3 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py310h2bbff1b_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py310h2bbff1b_0
mkl_fft 1.3.1 py310ha0764ea_0
mkl_random 1.2.2 py310h4ed8f06_0
mock 4.0.3 pyhd3eb1b0_0
mpmath 1.2.1 py310haa95532_0
msgpack-python 1.0.3 py310h59b6b97_0
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py310haa95532_0
munkres 1.1.4 py_0
mypy_extensions 0.4.3 py310haa95532_1
navigator-updater 0.3.0 py310haa95532_0
nbclassic 0.5.2 py310haa95532_0
nbclient 0.5.13 py310haa95532_0
nbconvert 6.5.4 py310haa95532_0
nbformat 5.7.0 py310haa95532_0
nest-asyncio 1.5.6 py310haa95532_0
networkx 2.8.4 py310haa95532_0
ninja 1.10.2 haa95532_5
ninja-base 1.10.2 h6d14046_5
nltk 3.7 pyhd3eb1b0_0
notebook 6.5.2 py310haa95532_0
notebook-shim 0.2.2 py310haa95532_0
numba 0.56.4 py310h4ed8f06_0
numexpr 2.8.4 py310hd213c9f_0
numpy 1.23.5 py310h60c9a35_0
numpy-base 1.23.5 py310h04254f7_0
numpydoc 1.5.0 py310haa95532_0
openjpeg 2.4.0 h4fc8c34_0
openpyxl 3.0.10 py310h2bbff1b_0
openssl 1.1.1u hcfcfb64_0 conda-forge
packaging 22.0 py310haa95532_0
pandas 1.5.3 py310h4ed8f06_0
pandocfilters 1.5.0 pyhd3eb1b0_0
panel 0.14.3 py310haa95532_0
param 1.12.3 py310haa95532_0
paramiko 2.8.1 pyhd3eb1b0_0
parsel 1.6.0 py310haa95532_0
parso 0.8.3 pyhd3eb1b0_0
partd 1.2.0 pyhd3eb1b0_1
pathlib 1.0.1 pyhd3eb1b0_1
pathspec 0.10.3 py310haa95532_0
patsy 0.5.3 py310haa95532_0
pcre 8.45 hd77b12b_0
pep8 1.7.1 py310haa95532_1
pexpect 4.8.0 pyhd3eb1b0_3
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.4.0 py310hd77b12b_0
pip 22.3.1 py310haa95532_0
pkginfo 1.9.6 py310haa95532_0
platformdirs 2.5.2 py310haa95532_0
plotly 5.9.0 py310haa95532_0
pluggy 1.0.0 py310haa95532_1
ply 3.11 py310haa95532_0
pooch 1.4.0 pyhd3eb1b0_0
powershell_shortcut 0.0.1 3
poyo 0.5.0 pyhd3eb1b0_0
prometheus_client 0.14.1 py310haa95532_0
prompt-toolkit 3.0.36 py310haa95532_0
prompt_toolkit 3.0.36 hd3eb1b0_0
protego 0.1.16 py_0
psutil 5.9.0 py310h2bbff1b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pure_eval 0.2.2 pyhd3eb1b0_0
py 1.11.0 pyhd3eb1b0_0
py-lief 0.12.3 py310hd77b12b_0
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pycodestyle 2.10.0 py310haa95532_0
pycosat 0.6.4 py310h2bbff1b_0
pycparser 2.21 pyhd3eb1b0_0
pyct 0.5.0 py310haa95532_0
pycurl 7.45.1 py310hcd4344a_0
pydispatcher 2.0.5 py310haa95532_2
pydocstyle 6.3.0 py310haa95532_0
pyerfa 2.0.0 py310h2bbff1b_0
pyflakes 3.0.1 py310haa95532_0
pygments 2.11.2 pyhd3eb1b0_0
pyhamcrest 2.0.2 pyhd3eb1b0_2
pyjwt 2.4.0 py310haa95532_0
pylint 2.16.2 py310haa95532_0
pylint-venv 2.3.0 pypi_0 pypi
pyls-spyder 0.4.0 pyhd3eb1b0_0
pymc 5.5.0 hd8ed1ab_0 conda-forge
pymc-base 5.5.0 pyhd8ed1ab_0 conda-forge
pynacl 1.5.0 py310h8cc25b3_0
pyodbc 4.0.34 py310hd77b12b_0
pyopenssl 23.0.0 py310haa95532_0
pyparsing 3.0.9 py310haa95532_0
pyqt 5.15.7 py310hd77b12b_0
pyqt5-sip 12.11.0 py310hd77b12b_0
pyqtwebengine 5.15.7 py310hd77b12b_0
pyrsistent 0.18.0 py310h2bbff1b_0
pysocks 1.7.1 py310haa95532_0
pytables 3.7.0 py310h388bc9b_1
pytensor 2.12.3 py310h53af72e_2 conda-forge
pytensor-base 2.12.3 py310h1c4a608_2 conda-forge
pytest 7.1.2 py310haa95532_0
python 3.10.9 h966fe2a_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python-fastjsonschema 2.16.2 py310haa95532_0
python-libarchive-c 2.9 pyhd3eb1b0_1
python-lsp-black 1.2.1 py310haa95532_0
python-lsp-jsonrpc 1.0.0 pyhd3eb1b0_0
python-lsp-server 1.7.1 py310haa95532_0
python-slugify 5.0.2 pyhd3eb1b0_0
python-snappy 0.6.1 py310hd77b12b_0
python_abi 3.10 2_cp310 conda-forge
pytoolconfig 1.2.5 py310haa95532_1
pytorch 1.12.1 cpu_py310h5e1f01c_1
pytz 2022.7 py310haa95532_0
pyviz_comms 2.0.2 pyhd3eb1b0_0
pywavelets 1.4.1 py310h2bbff1b_0
pywin32 305 py310h2bbff1b_0
pywin32-ctypes 0.2.0 py310haa95532_1000
pywinpty 2.0.10 py310h5da7b33_0
pyyaml 6.0 py310h2bbff1b_1
pyzmq 23.2.0 py310hd77b12b_0
qdarkstyle 3.0.2 pyhd3eb1b0_0
qstylizer 0.2.2 pypi_0 pypi
qt-main 5.15.2 he8e5bd7_7
qt-webengine 5.15.9 hb9a9bb5_5
qtawesome 1.2.2 pypi_0 pypi
qtconsole 5.4.0 pypi_0 pypi
qtpy 2.2.0 py310haa95532_0
qtwebkit 5.212 h3ad3cdb_4
queuelib 1.5.0 py310haa95532_0
regex 2022.7.9 py310h2bbff1b_0
requests 2.28.1 py310haa95532_0
requests-file 1.5.1 pyhd3eb1b0_0
requests-toolbelt 0.9.1 pyhd3eb1b0_0
rope 1.7.0 py310haa95532_0
rtree 1.0.1 py310h2eaa2aa_0
ruamel.yaml 0.17.21 py310h2bbff1b_0
ruamel.yaml.clib 0.2.6 py310h2bbff1b_1
ruamel_yaml 0.17.21 py310h2bbff1b_0
scikit-image 0.19.3 py310hd77b12b_1
scikit-learn 1.2.1 py310hd77b12b_0
scikit-learn-intelex 2023.0.2 py310haa95532_0
scipy 1.10.0 py310hb9afe5d_1
scrapy 2.8.0 py310haa95532_0
seaborn 0.12.2 py310haa95532_0
send2trash 1.8.0 pyhd3eb1b0_1
service_identity 18.1.0 pyhd3eb1b0_1
setuptools 65.6.3 py310haa95532_0
sip 6.6.2 py310hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
smart_open 5.2.1 py310haa95532_0
snappy 1.1.9 h6c2663c_0
sniffio 1.2.0 py310haa95532_1
snowballstemmer 2.2.0 pyhd3eb1b0_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
soupsieve 2.3.2.post1 py310haa95532_0
sphinx 5.0.2 py310haa95532_0
sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-htmlhelp 2.0.0 pyhd3eb1b0_0
sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0
sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0
sphinxcontrib-serializinghtml 1.1.5 pyhd3eb1b0_0
spyder 5.4.1 py310haa95532_0
spyder-kernels 2.4.1 py310haa95532_0
sqlalchemy 1.4.39 py310h2bbff1b_0
sqlite 3.40.1 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
statsmodels 0.13.5 py310h9128911_1
sympy 1.11.1 py310haa95532_0
tabulate 0.8.10 py310haa95532_0
tbb 2021.7.0 h59b6b97_0
tbb4py 2021.7.0 py310h59b6b97_0
tblib 1.7.0 pyhd3eb1b0_0
tenacity 8.0.1 py310haa95532_1
terminado 0.17.1 py310haa95532_0
text-unidecode 1.3 pyhd3eb1b0_0
textdistance 4.2.1 pyhd3eb1b0_0
threadpoolctl 2.2.0 pyh0d69192_0
three-merge 0.1.1 pyhd3eb1b0_0
tifffile 2021.7.2 pyhd3eb1b0_2
tinycss2 1.2.1 py310haa95532_0
tk 8.6.12 h2bbff1b_0
tldextract 3.2.0 pyhd3eb1b0_0
tokenizers 0.11.4 py310he5181cf_1
toml 0.10.2 pyhd3eb1b0_0
tomli 2.0.1 py310haa95532_0
tomlkit 0.11.1 py310haa95532_0
toolz 0.12.0 py310haa95532_0
tornado 6.1 py310h2bbff1b_0
tqdm 4.64.1 py310haa95532_0
traitlets 5.7.1 py310haa95532_0
transformers 4.24.0 py310haa95532_0
twisted 22.2.0 py310h2bbff1b_1
twisted-iocpsupport 1.0.2 py310h2bbff1b_0
typing-extensions 4.4.0 py310haa95532_0
typing_extensions 4.4.0 py310haa95532_0
tzdata 2022g h04d1e81_0
ucrt 10.0.22621.0 h57928b3_0 conda-forge
ujson 5.4.0 py310hd77b12b_0
unidecode 1.2.0 pyhd3eb1b0_0
urllib3 1.26.14 py310haa95532_0
vc 14.2 h21ff451_1
vc14_runtime 14.36.32532 hfdfe4a8_16 conda-forge
vs2015_runtime 14.36.32532 h05e6639_16 conda-forge
w3lib 1.21.0 pyhd3eb1b0_0
watchdog 2.1.6 py310haa95532_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py310haa95532_1
websocket-client 0.58.0 py310haa95532_4
werkzeug 2.2.2 py310haa95532_0
xz 5.2.10 h8cc25b3_1
yaml 0.2.5 he774522_0
yapf 0.31.0 pyhd3eb1b0_0
zeromq 4.3.4 hd77b12b_0
zfp 0.5.5 hd77b12b_6
zict 2.1.0 py310haa95532_0
zipp 3.11.0 py310haa95532_0
zlib 1.2.13 h8cc25b3_0
zope 1.0 py310haa95532_1
zope.interface 5.4.0 py310h2bbff1b_0
zstandard 0.19.0 py310h2bbff1b_0
zstd 1.5.2 h19a0ad4_0
@royqh1979 @Vital-Fernandez does that still happen with latest ArviZ? Still not sure what could be done, but if we can get confirmation it is still an issue (probably only on windows though) it would be very helpful. Thanks!
Describe the bug When numba is installed, Arviz's plot functions will keep running without any result.
After numba uninstalled, Arviz works well.
To Reproduce Run the following demo code from pymc.io
'az.plot_posteriror' will keep running without any plot generated.
Expected behavior A clear and concise description of what you expected to happen.
Additional context
The environment is a the following:
Packages (installed by pip):