Closed spatts14 closed 2 months ago
Hi! Thanks for opening an issue. We are familiar with this error, which occurs for users with newer versions of numpy
. We will soon push a code update to account for this, but until then, you could downgrade numpy
.
@mayarali, do you know from which version this error occurs?
Thanks for the response!
What version do I need to downgrade to? Are there other dependency issues?
I use numpy==1.23.4 and I can execute this function without errors. If you try downgrading, let me know if it works for you too!
We are not currently aware of other dependency issues.
I'm getting this error when trying to downgrade
(graphcompass) ~ % pip install numpy==1.23.4
Collecting numpy==1.23.4
Using cached numpy-1.23.4-cp311-cp311-macosx_10_9_x86_64.whl.metadata (2.3 kB)
Using cached numpy-1.23.4-cp311-cp311-macosx_10_9_x86_64.whl (18.1 MB)
Installing collected packages: numpy
Attempting uninstall: numpy
Found existing installation: numpy 1.26.4
Uninstalling numpy-1.26.4:
Successfully uninstalled numpy-1.26.4
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
scipy 1.14.0 requires numpy<2.3,>=1.23.5, but you have numpy 1.23.4 which is incompatible.
Successfully installed numpy-1.23.4
and I keep getting this error in the in the notebook
notebook controller is DISPOSED.
View Jupyter [log](command:jupyter.viewOutput) for further details.
Hi @spatts14, can you try to downgrade scipy to 1.13.0
? This works for me!
We are currently working on fixing this dependency and we'll update the package soon.
FYI, these are all the dependencies and their versions in my environment:
aiobotocore==2.5.4
aiohttp==3.9.3
aioitertools==0.11.0
aiosignal==1.3.1
anndata==0.10.5.post1
annotated-types==0.6.0
array_api_compat==1.4.1
asciitree==0.3.3
asttokens==2.4.1
async-timeout==4.0.3
attrs==23.2.0
botocore==1.31.17
certifi==2024.2.2
charset-normalizer==3.3.2
click==8.1.7
click-plugins==1.1.1
cligj==0.7.2
cloudpickle==3.0.0
colorcet==3.1.0
comm==0.2.2
contourpy==1.2.0
cycler==0.12.1
Cython==3.0.8
dask==2024.2.1
dask-image==2023.8.1
datashader==0.16.0
debugpy==1.8.1
decorator==5.1.1
distributed==2024.2.1
docrep==0.3.2
exceptiongroup==1.2.1
executing==2.0.1
fasteners==0.19
fiona==1.9.5
fonttools==4.49.0
frozenlist==1.4.1
fsspec==2023.6.0
geopandas==0.14.3
graphcompass==0.2.2
h5py==3.10.0
idna==3.6
igraph==0.11.4
imageio==2.34.0
importlib-metadata==7.0.1
inflect==7.0.0
ipykernel==6.29.4
ipython==8.21.0
jedi==0.19.1
Jinja2==3.1.3
jmespath==1.0.1
joblib==1.3.2
jupyter_client==8.6.1
jupyter_core==5.7.2
kiwisolver==1.4.5
lazy_loader==0.3
leidenalg==0.10.2
llvmlite==0.42.0
locket==1.0.0
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.8.3
matplotlib-inline==0.1.7
matplotlib-scalebar==0.8.1
mdurl==0.1.2
msgpack==1.0.8
multidict==6.0.5
multipledispatch==1.0.0
multiscale_spatial_image==0.11.2
natsort==8.4.0
nest-asyncio==1.6.0
NetLSD==1.0.2
networkx==3.2.1
numba==0.59.0
numcodecs==0.12.1
numpy==1.23.4
ome-zarr==0.8.3
omnipath==1.0.8
packaging==24.0
pandas==2.2.1
param==2.0.2
parso==0.8.4
partd==1.4.1
patsy==0.5.6
pexpect==4.9.0
pillow==10.2.0
PIMS==0.6.1
platformdirs==4.2.0
POT==0.9.3
prompt-toolkit==3.0.43
psutil==5.9.8
ptyprocess==0.7.0
pure-eval==0.2.2
pyarrow==15.0.0
pyct==0.5.0
pydantic==2.6.3
pydantic_core==2.16.3
pygeos==0.14
Pygments==2.17.2
pynndescent==0.5.11
pyparsing==3.1.1
pyproj==3.6.1
python-dateutil==2.9.0.post0
python-igraph==0.11.4
pytz==2024.1
PyWavelets==1.5.0
PyYAML==6.0.1
pyzmq==26.0.2
requests==2.31.0
rich==13.7.1
s3fs==2023.6.0
scanpy==1.9.8
scikit-image==0.20.0
scikit-learn==1.4.1.post1
scipy==1.12.0
seaborn==0.13.2
session-info==1.0.0
shapely==2.0.3
six==1.16.0
slicerator==1.1.0
sortedcontainers==2.4.0
spatial_image==0.3.0
spatialdata==0.0.15
squidpy==1.4.1
stack-data==0.6.3
statannot==0.2.3
statsmodels==0.14.1
stdlib-list==0.10.0
tblib==3.0.0
texttable==1.7.0
threadpoolctl==3.3.0
tifffile==2024.2.12
toolz==0.12.1
tornado==6.4
tqdm==4.66.2
traitlets==5.9.0
typing_extensions==4.10.0
tzdata==2024.1
umap-learn==0.5.5
urllib3==1.26.18
validators==0.22.0
wcwidth==0.2.13
wrapt==1.16.0
wwl==0.1.2
xarray==2023.12.0
xarray-dataclasses==1.7.0
xarray-datatree==0.0.14
xarray-schema==0.0.3
xarray-spatial==0.3.7
yarl==1.9.4
zarr==2.17.0
zict==3.0.0
zipp==3.17.0
Working now! Thanks!
Hi all,
I need to run the script on the HPC since I need more resources. However, Im getting this error again
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (20,) + inhomogeneous part.
Here are my packages installed/versions:
# packages in environment at graphcompass_HPC:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_kmp_llvm conda-forge
aiobotocore 2.5.4 pypi_0 pypi
aiohttp 3.9.3 py311h5eee18b_0
aioitertools 0.11.0 pypi_0 pypi
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge
anndata 0.10.6 pyhd8ed1ab_0 conda-forge
annotated-types 0.6.0 py311h06a4308_0
aom 3.8.2 h59595ed_0 conda-forge
arpack 3.8.0 nompi_h0baa96a_101 conda-forge
array-api-compat 1.4.1 pyhd8ed1ab_0 conda-forge
asciitree 0.3.3 py_2
asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
attrs 23.2.0 pyh71513ae_0 conda-forge
aws-c-auth 0.7.25 h8a0f778_4 conda-forge
aws-c-cal 0.7.2 h7970872_1 conda-forge
aws-c-common 0.9.25 h4bc722e_0 conda-forge
aws-c-compression 0.2.18 hc649ecc_8 conda-forge
aws-c-event-stream 0.4.2 h04a40c0_20 conda-forge
aws-c-http 0.8.7 hc9bb02b_2 conda-forge
aws-c-io 0.14.18 h3e50d33_2 conda-forge
aws-c-mqtt 0.10.4 h674cf7e_16 conda-forge
aws-c-s3 0.6.4 hbe604ca_6 conda-forge
aws-c-sdkutils 0.1.19 hc649ecc_0 conda-forge
aws-checksums 0.1.18 hc649ecc_8 conda-forge
aws-crt-cpp 0.27.5 hba11562_5 conda-forge
aws-sdk-cpp 1.11.379 he20dfa5_2 conda-forge
azure-core-cpp 1.13.0 h935415a_0 conda-forge
azure-identity-cpp 1.8.0 hd126650_2 conda-forge
azure-storage-blobs-cpp 12.12.0 hd2e3451_0 conda-forge
azure-storage-common-cpp 12.7.0 h10ac4d7_1 conda-forge
azure-storage-files-datalake-cpp 12.11.0 h325d260_1 conda-forge
blosc 1.21.6 hef167b5_0 conda-forge
bokeh 3.4.0 pyhd8ed1ab_0 conda-forge
botocore 1.31.17 pypi_0 pypi
brotli 1.1.0 hd590300_1 conda-forge
brotli-bin 1.1.0 hd590300_1 conda-forge
brotli-python 1.1.0 py311hb755f60_1 conda-forge
brunsli 0.1 h2531618_0
bzip2 1.0.8 h5eee18b_5
c-ares 1.33.0 ha66036c_0 conda-forge
c-blosc2 2.15.0 hdcfd70d_0 conda-forge
ca-certificates 2024.7.4 hbcca054_0 conda-forge
cached-property 1.5.2 py_0
certifi 2024.7.4 py311h06a4308_0
charls 2.4.2 h59595ed_0 conda-forge
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
click 8.1.7 py311h06a4308_0
click-plugins 1.1.1 pypi_0 pypi
cligj 0.7.2 pypi_0 pypi
cloudpickle 3.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 py311h06a4308_0
colorcet 3.1.0 pypi_0 pypi
comm 0.2.2 pyhd8ed1ab_0 conda-forge
contourpy 1.2.0 py311hdb19cb5_0
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
cython 3.0.9 pypi_0 pypi
cytoolz 0.12.3 py311h459d7ec_0 conda-forge
dask 2024.3.1 pyhd8ed1ab_0 conda-forge
dask-core 2024.3.1 pyhd8ed1ab_0 conda-forge
dask-expr 1.0.4 pyhd8ed1ab_0 conda-forge
dask-image 2023.8.1 py311h06a4308_0
datashader 0.16.0 pypi_0 pypi
dav1d 1.2.1 h5eee18b_0
debugpy 1.8.1 py311hb755f60_0 conda-forge
decorator 5.1.1 pyhd3eb1b0_0
distributed 2024.3.1 pyhd8ed1ab_0 conda-forge
docrep 0.3.2 pyh44b312d_0 conda-forge
exceptiongroup 1.2.0 py311h06a4308_0
executing 2.0.1 pyhd8ed1ab_0 conda-forge
fasteners 0.17.3 pyhd8ed1ab_0 conda-forge
filelock 3.15.4 pyhd8ed1ab_0 conda-forge
fiona 1.9.6 pypi_0 pypi
fonttools 4.49.0 py311h459d7ec_0 conda-forge
freetype 2.12.1 h267a509_2 conda-forge
frozenlist 1.4.1 py311h459d7ec_0 conda-forge
fsspec 2023.6.0 pypi_0 pypi
geopandas 0.14.3 pypi_0 pypi
get-annotations 0.1.2 pyhd8ed1ab_0 conda-forge
gflags 2.2.2 h6a678d5_1
giflib 5.2.2 hd590300_0 conda-forge
glog 0.7.1 hbabe93e_0 conda-forge
glpk 5.0 h445213a_0 conda-forge
gmp 6.3.0 h59595ed_1 conda-forge
gmpy2 2.1.5 py311hc4f1f91_1 conda-forge
graphcompass 0.2.2 pypi_0 pypi
h5py 3.11.0 nompi_py311h439e445_102 conda-forge
hdf5 1.14.3 nompi_hdf9ad27_105 conda-forge
heapdict 1.0.1 pyhd3eb1b0_0
icu 73.2 h59595ed_0 conda-forge
idna 3.6 pyhd8ed1ab_0 conda-forge
igraph 0.11.4 pypi_0 pypi
imagecodecs 2024.6.1 py311hb8791aa_2 conda-forge
imageio 2.34.0 pyh4b66e23_0 conda-forge
importlib-metadata 7.0.2 pyha770c72_0 conda-forge
importlib_metadata 7.0.2 hd8ed1ab_0 conda-forge
inflect 7.0.0 py311h06a4308_0
ipykernel 6.29.3 pyhd33586a_0 conda-forge
ipython 8.22.2 pyh707e725_0 conda-forge
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jinja2 3.1.3 py311h06a4308_0
jmespath 1.0.1 pypi_0 pypi
joblib 1.3.2 pyhd8ed1ab_0 conda-forge
jupyter_client 8.6.1 pyhd8ed1ab_0 conda-forge
jupyter_core 5.7.2 py311h38be061_0 conda-forge
jxrlib 1.1 h7b6447c_2
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.5 py311h9547e67_1 conda-forge
krb5 1.21.3 h659f571_0 conda-forge
lazy_loader 0.3 py311h06a4308_0
lcms2 2.16 hb7c19ff_0 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
legacy-api-wrap 1.4 pyhd8ed1ab_1 conda-forge
leidenalg 0.10.2 py311hb755f60_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20240116.2 cxx17_h6a678d5_0
libaec 1.1.3 h59595ed_0 conda-forge
libarrow 17.0.0 h03aeac6_7_cpu conda-forge
libarrow-acero 17.0.0 he02047a_7_cpu conda-forge
libarrow-dataset 17.0.0 he02047a_7_cpu conda-forge
libarrow-flight 17.0.0 hc2c2f25_7_cpu conda-forge
libarrow-flight-sql 17.0.0 h07e8aee_7_cpu conda-forge
libarrow-gandiva 17.0.0 h77d048b_7_cpu conda-forge
libarrow-substrait 17.0.0 hc9a23c6_7_cpu conda-forge
libavif16 1.0.4 hd9d6309_2 conda-forge
libblas 3.9.0 21_linux64_openblas conda-forge
libbrotlicommon 1.1.0 hd590300_1 conda-forge
libbrotlidec 1.1.0 hd590300_1 conda-forge
libbrotlienc 1.1.0 hd590300_1 conda-forge
libcblas 3.9.0 21_linux64_openblas conda-forge
libcrc32c 1.1.2 h6a678d5_0
libcurl 8.9.1 hdb1bdb2_0 conda-forge
libdeflate 1.20 hd590300_0 conda-forge
libedit 3.1.20230828 h5eee18b_0
libev 4.33 h7f8727e_1
libevent 2.1.12 hdbd6064_1
libexpat 2.6.2 h59595ed_0 conda-forge
libffi 3.4.4 h6a678d5_0
libgcc-ng 13.2.0 h807b86a_5 conda-forge
libgfortran-ng 13.2.0 h69a702a_5 conda-forge
libgfortran5 13.2.0 ha4646dd_5 conda-forge
libgomp 13.2.0 h807b86a_5 conda-forge
libgoogle-cloud 2.28.0 h26d7fe4_0 conda-forge
libgoogle-cloud-storage 2.28.0 ha262f82_0 conda-forge
libgrpc 1.62.2 h15f2491_0 conda-forge
libhwloc 2.9.3 default_h554bfaf_1009 conda-forge
libhwy 1.0.7 h00ab1b0_0 conda-forge
libiconv 1.17 hd590300_2 conda-forge
libjpeg-turbo 3.0.0 hd590300_1 conda-forge
libjxl 0.10.1 h5b01ea3_0 conda-forge
liblapack 3.9.0 21_linux64_openblas conda-forge
libleidenalg 0.11.1 h00ab1b0_0 conda-forge
libllvm14 14.0.6 hcd5def8_4 conda-forge
libllvm16 16.0.6 h5cf9203_2 conda-forge
libllvm17 17.0.6 hc9dba70_2 conda-forge
libnghttp2 1.58.0 h47da74e_0 conda-forge
libnl 3.9.0 hd590300_0 conda-forge
libnsl 2.0.1 hd590300_0 conda-forge
libopenblas 0.3.26 pthreads_h413a1c8_0 conda-forge
libparquet 17.0.0 haa1307c_7_cpu conda-forge
libpng 1.6.43 h2797004_0 conda-forge
libprotobuf 4.25.3 h08a7969_0 conda-forge
libre2-11 2023.09.01 h5a48ba9_2 conda-forge
libsodium 1.0.18 h7b6447c_0
libsqlite 3.45.1 h2797004_0 conda-forge
libssh2 1.11.0 h0841786_0 conda-forge
libstdcxx-ng 13.2.0 h7e041cc_5 conda-forge
libthrift 0.20.0 hb90f79a_0 conda-forge
libtiff 4.6.0 h1dd3fc0_3 conda-forge
libtorch 2.3.1 cpu_mkl_h0bb0d08_100 conda-forge
libutf8proc 2.8.0 h166bdaf_0 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libuv 1.48.0 h5eee18b_0
libwebp-base 1.4.0 hd590300_0 conda-forge
libxcb 1.16 hd590300_0 conda-forge
libxcrypt 4.4.36 hd590300_1 conda-forge
libxml2 2.12.7 h4c95cb1_3 conda-forge
libzlib 1.3.1 h4ab18f5_1 conda-forge
libzopfli 1.0.3 he6710b0_0
llvm-openmp 18.1.8 hf5423f3_1 conda-forge
llvmlite 0.43.0 py311h6a678d5_0
locket 1.0.0 py311h06a4308_0
lz4 4.3.3 py311h38e4bf4_0 conda-forge
lz4-c 1.9.4 h6a678d5_0
markdown-it-py 3.0.0 pypi_0 pypi
markupsafe 2.1.5 py311h459d7ec_0 conda-forge
matplotlib-base 3.9.1 py311h74b4f7c_2 conda-forge
matplotlib-inline 0.1.6 py311h06a4308_0
matplotlib-scalebar 0.8.1 pyhd8ed1ab_0 conda-forge
mdurl 0.1.2 pypi_0 pypi
mkl 2023.2.0 h84fe81f_50496 conda-forge
mpc 1.3.1 hfe3b2da_0 conda-forge
mpfr 4.2.1 h38ae2d0_2 conda-forge
mpmath 1.3.0 py311h06a4308_0
msgpack-python 1.0.7 py311h9547e67_0 conda-forge
multidict 6.0.5 py311h459d7ec_0 conda-forge
multipledispatch 1.0.0 pypi_0 pypi
multiscale-spatial-image 0.11.2 pypi_0 pypi
munkres 1.1.4 py_0
natsort 8.4.0 pyhd8ed1ab_0 conda-forge
ncurses 6.4 h6a678d5_0
nest-asyncio 1.6.0 py311h06a4308_0
netlsd 1.0.2 pypi_0 pypi
networkx 3.2.1 pyhd8ed1ab_0 conda-forge
numba 0.60.0 py311h4bc866e_0 conda-forge
numcodecs 0.12.1 py311h2c38b39_0
numpy 1.26.4 pypi_0 pypi
ome-zarr 0.8.3 pypi_0 pypi
omnipath 1.0.8 pyhd8ed1ab_0 conda-forge
openjpeg 2.5.2 he7f1fd0_0
openssl 3.3.1 h4bc722e_2 conda-forge
orc 2.0.1 h17fec99_1 conda-forge
packaging 24.0 pyhd8ed1ab_0 conda-forge
pandas 2.2.2 py311h14de704_1 conda-forge
param 2.0.2 pypi_0 pypi
parso 0.8.3 pyhd3eb1b0_0
partd 1.4.1 py311h06a4308_0
patsy 0.5.6 pyhd8ed1ab_0 conda-forge
pexpect 4.9.0 pyhd8ed1ab_0 conda-forge
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 10.4.0 py311h82a398c_0 conda-forge
pims 0.6.1 py311h06a4308_0
pip 24.0 pyhd8ed1ab_0 conda-forge
platformdirs 4.2.0 pyhd8ed1ab_0 conda-forge
pot 0.9.3 pypi_0 pypi
prompt-toolkit 3.0.43 py311h06a4308_0
psutil 5.9.8 py311h459d7ec_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3eb1b0_2
pure_eval 0.2.2 pyhd3eb1b0_0
pyarrow 17.0.0 py311hbd00459_1 conda-forge
pyarrow-core 17.0.0 py311h4510849_1_cpu conda-forge
pyarrow-hotfix 0.6 pyhd8ed1ab_0 conda-forge
pyct 0.5.0 pypi_0 pypi
pydantic 2.6.4 pyhd8ed1ab_0 conda-forge
pydantic-core 2.16.3 py311h46250e7_0 conda-forge
pygeos 0.14 pypi_0 pypi
pygments 2.17.2 pyhd8ed1ab_0 conda-forge
pynndescent 0.5.11 pyhca7485f_0 conda-forge
pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge
pyproj 3.6.1 pypi_0 pypi
pysocks 1.7.1 py311h06a4308_0
python 3.11.8 hab00c5b_0_cpython conda-forge
python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge
python-igraph 0.11.4 pypi_0 pypi
python-lmdb 1.4.1 py311h6a678d5_0
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.11 2_cp311 conda-forge
pytorch 2.3.1 cpu_mkl_py311hcb16b95_100 conda-forge
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pywavelets 1.5.0 pypi_0 pypi
pyyaml 6.0.1 py311h5eee18b_0
pyzmq 25.1.2 py311h6a678d5_0
qhull 2020.2 hdb19cb5_2
rav1e 0.6.6 he8a937b_2 conda-forge
rdma-core 50.0 hd3aeb46_1 conda-forge
re2 2023.09.01 h7f4b329_2 conda-forge
readline 8.2 h5eee18b_0
requests 2.31.0 py311h06a4308_1
rich 13.7.1 pypi_0 pypi
s2n 1.5.0 h3400bea_0 conda-forge
s3fs 2023.6.0 pypi_0 pypi
scanpy 1.10.2 pyhd8ed1ab_0 conda-forge
scikit-image 0.20.0 pypi_0 pypi
scikit-learn 1.5.1 py311hd632256_0 conda-forge
scipy 1.13.0 py311h517d4fd_1 conda-forge
seaborn 0.13.2 hd8ed1ab_0 conda-forge
seaborn-base 0.13.2 pyhd8ed1ab_0 conda-forge
session-info 1.0.0 pyhd8ed1ab_0 conda-forge
setuptools 69.2.0 pyhd8ed1ab_0 conda-forge
shapely 2.0.3 pypi_0 pypi
six 1.16.0 pyhd3eb1b0_1
sleef 3.6.1 h3400bea_1 conda-forge
slicerator 1.1.0 py311h06a4308_0
snappy 1.2.1 h6a678d5_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
spatial-image 0.3.0 pypi_0 pypi
spatialdata 0.0.15 pypi_0 pypi
sqlite 3.45.1 h2c6b66d_0 conda-forge
squidpy 1.2.2 pyhd8ed1ab_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
statannot 0.2.3 pypi_0 pypi
statsmodels 0.14.2 py311h18e1886_0 conda-forge
stdlib-list 0.10.0 pyhd8ed1ab_0 conda-forge
svt-av1 2.0.0 h59595ed_0 conda-forge
sympy 1.13.2 pypyh2585a3b_103 conda-forge
tbb 2021.11.0 h00ab1b0_1 conda-forge
tblib 3.0.0 pyhd8ed1ab_0 conda-forge
texttable 1.7.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.3.0 pyhc1e730c_0 conda-forge
tifffile 2024.2.12 pyhd8ed1ab_0 conda-forge
tk 8.6.13 h2797004_0 conda-forge
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
torchvision 0.18.1 cpu_py311hf0a5325_1 conda-forge
tornado 6.4 py311h459d7ec_0 conda-forge
tqdm 4.66.2 pyhd8ed1ab_0 conda-forge
traitlets 5.14.2 pyhd8ed1ab_0 conda-forge
typing-extensions 4.10.0 hd8ed1ab_0 conda-forge
typing_extensions 4.10.0 pyha770c72_0 conda-forge
tzdata 2024a h04d1e81_0
ucx 1.15.0 h11edf95_7 conda-forge
umap-learn 0.5.5 py311h38be061_1 conda-forge
urllib3 1.26.18 pypi_0 pypi
validators 0.22.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
wrapt 1.16.0 py311h459d7ec_0 conda-forge
wwl 0.1.2 pypi_0 pypi
xarray 2023.12.0 pypi_0 pypi
xarray-dataclasses 1.7.0 pypi_0 pypi
xarray-datatree 0.0.14 pypi_0 pypi
xarray-schema 0.0.3 pypi_0 pypi
xarray-spatial 0.4.0 pypi_0 pypi
xorg-libxau 1.0.11 hd590300_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xyzservices 2023.10.1 pyhd8ed1ab_0 conda-forge
xz 5.4.6 h5eee18b_0
yaml 0.2.5 h7b6447c_0
yarl 1.9.4 py311h459d7ec_0 conda-forge
zarr 2.17.1 pyhd8ed1ab_0 conda-forge
zeromq 4.3.5 h6a678d5_0
zfp 1.0.1 h59595ed_0 conda-forge
zict 3.0.0 py311h06a4308_0
zipp 3.17.0 py311h06a4308_0
zlib 1.3.1 h4ab18f5_1 conda-forge
zlib-ng 2.0.7 h5eee18b_0
zstd 1.5.6 ha6fb4c9_0 conda-forge
Hi @spatts14,
this error should be fixed in the latest release of graphcompass
. Can you please upgrade to version 0.2.3
?
Will try that!
Hi!
I am getting the following error when I try to run this code:
It does compute the spatial graphs but then fails at the end. Any suggestions of where it might be coming from? I have the most up to date version installed.
I also ran it on the training notebook and got the same error: