Closed gdagstn closed 5 months ago
FWIW, it could be possible to detect if the system is Arm (see flags in jlmelville/uwot#100) and have basilisk.R
switch between package manifests at environment creation time. This would require a manifest from someone who actually has an M1/2, though.
If this is something I can help with I'm happy to do so.
Would it be useful if I went for a fresh manual env creation + install and reported here the versions installed by conda install -c bioconda -c conda-forge scvelo
?
I am facing the same issue using the latest version of velociraptor (v1.10.0, Bioc 3.17) on an M1 macbook pro
Would it be useful if I went for a fresh manual env creation + install and reported here the versions installed by conda install -c bioconda -c conda-forge scvelo?
Yes definitely... Wouldn't it also be a good opportunity to update scvelo
to the latest version (0.2.5)? https://anaconda.org/bioconda/scvelo
conda create -c conda-forge -c bioconda -n scvelo_0.2.5 scvelo=0.2.5
conda activate scvelo_0.2.5
conda list
# packages in environment at /Users/rouxj/miniconda3/envs/scvelo_0.2.5:
#
# Name Version Build Channel
anndata 0.9.2 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 hb7f2c08_9 conda-forge
brotli-bin 1.0.9 hb7f2c08_9 conda-forge
brotli-python 1.0.9 py311h814d153_9 conda-forge
bzip2 1.0.8 h0d85af4_4 conda-forge
c-ares 1.19.1 h0dc2134_0 conda-forge
ca-certificates 2023.7.22 h8857fd0_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
certifi 2023.7.22 pyhd8ed1ab_0 conda-forge
charset-normalizer 3.2.0 pyhd8ed1ab_0 conda-forge
click 8.1.7 unix_pyh707e725_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
contourpy 1.1.0 py311h5fe6e05_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
fonttools 4.42.0 py311h2725bcf_0 conda-forge
freetype 2.12.1 h3f81eb7_1 conda-forge
h5py 3.9.0 nompi_py311hc915cd5_101 conda-forge
hdf5 1.14.1 nompi_hedada53_100 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.8.0 pyha770c72_0 conda-forge
importlib_metadata 6.8.0 hd8ed1ab_0 conda-forge
joblib 1.3.2 pyhd8ed1ab_0 conda-forge
kiwisolver 1.4.4 py311hd2070f0_1 conda-forge
krb5 1.21.2 hb884880_0 conda-forge
lcms2 2.15 h2dcdeff_1 conda-forge
lerc 4.0.0 hb486fe8_0 conda-forge
libaec 1.0.6 hf0c8a7f_1 conda-forge
libblas 3.9.0 17_osx64_openblas conda-forge
libbrotlicommon 1.0.9 hb7f2c08_9 conda-forge
libbrotlidec 1.0.9 hb7f2c08_9 conda-forge
libbrotlienc 1.0.9 hb7f2c08_9 conda-forge
libcblas 3.9.0 17_osx64_openblas conda-forge
libcurl 8.2.1 h5f667d7_0 conda-forge
libcxx 16.0.6 hd57cbcb_0 conda-forge
libdeflate 1.18 hac1461d_0 conda-forge
libedit 3.1.20191231 h0678c8f_2 conda-forge
libev 4.33 haf1e3a3_1 conda-forge
libexpat 2.5.0 hf0c8a7f_1 conda-forge
libffi 3.4.2 h0d85af4_5 conda-forge
libgfortran 5.0.0 12_3_0_h97931a8_1 conda-forge
libgfortran5 12.3.0 hbd3c1fe_1 conda-forge
libjpeg-turbo 2.1.5.1 hb7f2c08_0 conda-forge
liblapack 3.9.0 17_osx64_openblas conda-forge
libllvm14 14.0.6 hc8e404f_4 conda-forge
libnghttp2 1.52.0 he2ab024_0 conda-forge
libopenblas 0.3.23 openmp_h429af6e_0 conda-forge
libpng 1.6.39 ha978bb4_0 conda-forge
libsqlite 3.42.0 h58db7d2_0 conda-forge
libssh2 1.11.0 hd019ec5_0 conda-forge
libtiff 4.5.1 hf955e92_0 conda-forge
libwebp-base 1.3.1 h0dc2134_0 conda-forge
libxcb 1.15 hb7f2c08_0 conda-forge
libzlib 1.2.13 h8a1eda9_5 conda-forge
llvm-openmp 16.0.6 hff08bdf_0 conda-forge
llvmlite 0.40.1 py311hcbb5c6d_0 conda-forge
loompy 3.0.6 py_0 conda-forge
matplotlib-base 3.7.1 py311h2bf763f_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
natsort 8.4.0 pyhd8ed1ab_0 conda-forge
ncurses 6.4 hf0c8a7f_0 conda-forge
networkx 3.1 pyhd8ed1ab_0 conda-forge
numba 0.57.1 py311h5a8220d_0 conda-forge
numpy 1.24.4 py311hc44ba51_0 conda-forge
numpy_groupies 0.9.22 pyhd8ed1ab_0 conda-forge
openjpeg 2.5.0 h13ac156_2 conda-forge
openssl 3.1.2 h8a1eda9_0 conda-forge
packaging 23.1 pyhd8ed1ab_0 conda-forge
pandas 2.0.3 py311hab14417_1 conda-forge
patsy 0.5.3 pyhd8ed1ab_0 conda-forge
pillow 10.0.0 py311h7cb0e2d_0 conda-forge
pip 23.2.1 pyhd8ed1ab_0 conda-forge
platformdirs 3.10.0 pyhd8ed1ab_0 conda-forge
pooch 1.7.0 pyha770c72_3 conda-forge
pthread-stubs 0.4 hc929b4f_1001 conda-forge
pynndescent 0.5.10 pyh1a96a4e_0 conda-forge
pyparsing 3.1.1 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.11.4 h30d4d87_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-tzdata 2023.3 pyhd8ed1ab_0 conda-forge
python_abi 3.11 3_cp311 conda-forge
pytz 2023.3 pyhd8ed1ab_0 conda-forge
readline 8.2 h9e318b2_1 conda-forge
requests 2.31.0 pyhd8ed1ab_0 conda-forge
scanpy 1.9.3 pyhd8ed1ab_0 conda-forge
scikit-learn 1.3.0 py311h83feae1_0 conda-forge
scipy 1.11.1 py311h16c3c4d_0 conda-forge
scvelo 0.2.5 pyhdfd78af_0 bioconda
seaborn 0.12.2 hd8ed1ab_0 conda-forge
seaborn-base 0.12.2 pyhd8ed1ab_0 conda-forge
session-info 1.0.0 pyhd8ed1ab_0 conda-forge
setuptools 68.0.0 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
statsmodels 0.14.0 py311h4a70a88_1 conda-forge
stdlib-list 0.8.0 pyhd8ed1ab_0 conda-forge
tbb 2021.10.0 h1c7c39f_0 conda-forge
threadpoolctl 3.2.0 pyha21a80b_0 conda-forge
tk 8.6.12 h5dbffcc_0 conda-forge
tqdm 4.66.1 pyhd8ed1ab_0 conda-forge
typing-extensions 4.7.1 hd8ed1ab_0 conda-forge
typing_extensions 4.7.1 pyha770c72_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
umap-learn 0.5.3 py311h6eed73b_1 conda-forge
urllib3 2.0.4 pyhd8ed1ab_0 conda-forge
wheel 0.41.1 pyhd8ed1ab_0 conda-forge
xorg-libxau 1.0.11 h0dc2134_0 conda-forge
xorg-libxdmcp 1.1.3 h35c211d_0 conda-forge
xz 5.2.6 h775f41a_0 conda-forge
zipp 3.16.2 pyhd8ed1ab_0 conda-forge
zstd 1.5.2 h829000d_7 conda-forge
Let me know if I can help!
Woops. Thanks for the fresh comment. Completely fell off my radar (@LTLA 's too, I presume).
I would also take the offer for a conda environment manifest. I'm swamped at the moment.
I think we may have to upgrade scvelo
to make things work on the M1 mac. I tried to just set the versions of the missing packages to the oldest versions available for M1, and I get a conflict for scanpy 1.6.0
, which doesn't work with these versions that are slightly newer than the ones currently specified. I haven't tried scvelo
v0.2.5 yet, not sure if anything changed in the API or if things will just work out of the box.
I am experiencing a similar issue to @gdagstn and @julien-roux using an M2 Mac:
PackagesNotFoundError: The following packages are not available from current channels:
- stdlib-list=0.6.0
- umap-learn=0.4.6
- matplotlib=3.3.1
- llvmlite=0.34.0
- kiwisolver=1.2.0
- pandas=1.1.2
- numexpr=2.7.1
- cffi=1.14.1
- anndata=0.7.4
- statsmodels=0.12.0
- tornado=6.0.4
- pillow=7.2.0
- numpy=1.19.1
- numba=0.51.2
Similarly, manually installing the packages works, however, only when the versions are not specified, e.g.
/Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/0/bin/conda install --yes --prefix /Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/velociraptor/1.14.0/env -c bioconda -c conda-forge 'python=3.8' pandas
But not:
/Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/0/bin/conda install --yes --prefix /Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/velociraptor/1.14.0/env -c bioconda -c conda-forge 'python=3.8' 'pandas=1.1.2'
Conda output:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): | WARNING conda.models.version:get_matcher(535): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0.*, but conda is ignoring the .* and treating it as 1.8.0
WARNING conda.models.version:get_matcher(535): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0.*, but conda is ignoring the .* and treating it as 1.9.0
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- pandas=1.1.2
Current channels:
- https://conda.anaconda.org/bioconda/osx-arm64
- https://conda.anaconda.org/bioconda/noarch
- https://conda.anaconda.org/conda-forge/osx-arm64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/osx-arm64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/osx-arm64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
Subsequently, scvelo
will fail when trying to import pandas.is_categorical
, which is deprecated since v.1.1.0 (https://pandas.pydata.org/pandas-docs/version/1.5/reference/api/pandas.api.types.is_categorical.html):
itec.velo <- scvelo(loom.sce, assay.X="X", assay.spliced="spliced", assay.unspliced="unspliced",
+ dimred="PCA", mode="dynamical")
Error in py_module_import(module, convert = convert) :
ImportError: cannot import name 'is_categorical' from 'pandas.api.types' (/Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/velociraptor/1.14.0/env/lib/python3.8/site-packages/pandas/api/types/__init__.py)
Run `reticulate::py_last_error()` for details.
Error in .activate_fallback(proc, testload, env = env, envpath = envpath, :
ImportError: cannot import name 'is_categorical' from 'pandas.api.types' (/Users/s08mm2/Library/Caches/org.R-project.R/R/basilisk/1.16.0/velociraptor/1.14.0/env/lib/python3.8/site-packages/pandas/api/types/__init__.py)
Run `reticulate::py_last_error()` for details.
Looking into it today.
I've used the versions listed in https://github.com/kevinrue/velociraptor/issues/63#issuecomment-1683514855 to try quickly update the versions of dependencies, but ran into
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
I've also tried to figure out new environment specs a few different ways, all leading to various kinds of errors. Will continue investigating as time allows.
Help welcome if anyone is keen. Can't blame anyone for the complexity of the task!
Following
mamba create -c conda-forge -c bioconda -n scvelo_0.2.5 scvelo=0.2.5
mamba activate scvelo_0.2.5
conda activate scvelo_0.2.5
I get the environment
(scvelo_0.2.5) kevin@Kevins-Laptop ~ % conda list
# packages in environment at /Users/kevin/miniforge3/envs/scvelo_0.2.5:
#
# Name Version Build Channel
absl-py 2.1.0 pyhd8ed1ab_0 conda-forge
anndata 0.10.7 pyhd8ed1ab_0 conda-forge
anyio 4.3.0 pyhd8ed1ab_0 conda-forge
aom 3.9.0 h537b5a7_0 conda-forge
array-api-compat 1.6 pyhd8ed1ab_0 conda-forge
arrow 1.3.0 pyhd8ed1ab_0 conda-forge
backoff 2.2.1 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.3 pyha770c72_0 conda-forge
blessed 1.19.1 pyhe4f9e05_2 conda-forge
blosc 1.21.5 h9c252e8_1 conda-forge
boto3 1.34.109 pyhd8ed1ab_0 conda-forge
botocore 1.34.110 pyge310_1234567_0 conda-forge
brotli 1.1.0 hb547adb_1 conda-forge
brotli-bin 1.1.0 hb547adb_1 conda-forge
brotli-python 1.1.0 py312h9f69965_1 conda-forge
bzip2 1.0.8 h93a5062_5 conda-forge
c-ares 1.28.1 h93a5062_0 conda-forge
ca-certificates 2024.2.2 hf0a4a13_0 conda-forge
cachecontrol 0.14.0 pyhd8ed1ab_0 conda-forge
cachecontrol-with-filecache 0.14.0 pyhd8ed1ab_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py312h8e38eb3_0 conda-forge
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
chex 0.1.86 pyhd8ed1ab_0 conda-forge
cleo 2.1.0 pyhd8ed1ab_0 conda-forge
click 8.1.7 unix_pyh707e725_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
contextlib2 21.6.0 pyhd8ed1ab_0 conda-forge
contourpy 1.2.1 py312h0fef576_0 conda-forge
crashtest 0.4.1 pyhd8ed1ab_0 conda-forge
croniter 1.4.1 pyhd8ed1ab_0 conda-forge
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
dateutils 0.6.12 py_0 conda-forge
dav1d 1.2.1 hb547adb_0 conda-forge
deepdiff 7.0.1 pyhd8ed1ab_0 conda-forge
distlib 0.3.8 pyhd8ed1ab_0 conda-forge
dnspython 2.6.1 pyhd8ed1ab_1 conda-forge
docrep 0.3.2 pyh44b312d_0 conda-forge
dulwich 0.21.7 py312he37b823_0 conda-forge
email-validator 2.1.1 pyhd8ed1ab_0 conda-forge
email_validator 2.1.1 hd8ed1ab_0 conda-forge
et_xmlfile 1.1.0 pyhd8ed1ab_0 conda-forge
etils 1.8.0 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge
fastapi 0.111.0 pyhd8ed1ab_0 conda-forge
fastapi-cli 0.0.4 pyhd8ed1ab_0 conda-forge
filelock 3.14.0 pyhd8ed1ab_0 conda-forge
flax 0.8.3 pyhd8ed1ab_0 conda-forge
fonttools 4.51.0 py312he37b823_0 conda-forge
freetype 2.12.1 hadb7bae_2 conda-forge
fsspec 2024.5.0 pyhff2d567_0 conda-forge
get-annotations 0.1.2 pyhd8ed1ab_0 conda-forge
gmp 6.3.0 hebf3989_1 conda-forge
gmpy2 2.1.5 py312hfa9fade_1 conda-forge
h11 0.14.0 pyhd8ed1ab_0 conda-forge
h2 4.1.0 pyhd8ed1ab_0 conda-forge
h5py 3.11.0 nompi_py312h903599c_101 conda-forge
hdf5 1.14.3 nompi_h751145d_101 conda-forge
hpack 4.0.0 pyh9f0ad1d_0 conda-forge
httpcore 1.0.5 pyhd8ed1ab_0 conda-forge
httpx 0.27.0 pyhd8ed1ab_0 conda-forge
hyperframe 6.0.1 pyhd8ed1ab_0 conda-forge
icu 73.2 hc8870d7_0 conda-forge
idna 3.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 7.1.0 pyha770c72_0 conda-forge
importlib_metadata 7.1.0 hd8ed1ab_0 conda-forge
importlib_resources 6.4.0 pyhd8ed1ab_0 conda-forge
inquirer 3.1.4 pyhd8ed1ab_0 conda-forge
itsdangerous 2.2.0 pyhd8ed1ab_0 conda-forge
jaraco.classes 3.4.0 pyhd8ed1ab_1 conda-forge
jax 0.4.27 pyhd8ed1ab_0 conda-forge
jaxlib 0.4.23 cpu_py312h43c41d3_2 conda-forge
jinja2 3.1.4 pyhd8ed1ab_0 conda-forge
jmespath 1.0.1 pyhd8ed1ab_0 conda-forge
joblib 1.4.2 pyhd8ed1ab_0 conda-forge
keyring 24.3.1 py312h81bd7bf_0 conda-forge
kiwisolver 1.4.5 py312h389731b_1 conda-forge
krb5 1.21.2 h92f50d5_0 conda-forge
lcms2 2.16 ha0e7c42_0 conda-forge
legacy-api-wrap 1.4 pyhd8ed1ab_1 conda-forge
lerc 4.0.0 h9a09cb3_0 conda-forge
libabseil 20240116.2 cxx17_hebf3989_0 conda-forge
libaec 1.1.3 hebf3989_0 conda-forge
libavif16 1.0.4 hb18d617_4 conda-forge
libblas 3.9.0 22_osxarm64_openblas conda-forge
libbrotlicommon 1.1.0 hb547adb_1 conda-forge
libbrotlidec 1.1.0 hb547adb_1 conda-forge
libbrotlienc 1.1.0 hb547adb_1 conda-forge
libcblas 3.9.0 22_osxarm64_openblas conda-forge
libcurl 8.8.0 h7b6f9a7_0 conda-forge
libcxx 17.0.6 h5f092b4_0 conda-forge
libdeflate 1.20 h93a5062_0 conda-forge
libedit 3.1.20191231 hc8eb9b7_2 conda-forge
libev 4.33 h93a5062_2 conda-forge
libexpat 2.6.2 hebf3989_0 conda-forge
libffi 3.4.2 h3422bc3_5 conda-forge
libgfortran 5.0.0 13_2_0_hd922786_3 conda-forge
libgfortran5 13.2.0 hf226fd6_3 conda-forge
libgrpc 1.62.2 h9c18a4f_0 conda-forge
libhwloc 2.10.0 default_h7685b71_1001 conda-forge
libiconv 1.17 h0d3ecfb_2 conda-forge
libjpeg-turbo 3.0.0 hb547adb_1 conda-forge
liblapack 3.9.0 22_osxarm64_openblas conda-forge
libllvm14 14.0.6 hd1a9a77_4 conda-forge
libnghttp2 1.58.0 ha4dd798_1 conda-forge
libopenblas 0.3.27 openmp_h6c19121_0 conda-forge
libpng 1.6.43 h091b4b1_0 conda-forge
libprotobuf 4.25.3 hbfab5d5_0 conda-forge
libre2-11 2023.09.01 h7b2c953_2 conda-forge
libsqlite 3.45.3 h091b4b1_0 conda-forge
libssh2 1.11.0 h7a5bd25_0 conda-forge
libtiff 4.6.0 h07db509_3 conda-forge
libtorch 2.3.0 cpu_generic_hed86ac2_0 conda-forge
libuv 1.48.0 h93a5062_0 conda-forge
libwebp-base 1.4.0 h93a5062_0 conda-forge
libxcb 1.15 hf346824_0 conda-forge
libxml2 2.12.7 ha661575_0 conda-forge
libzlib 1.2.13 h53f4e23_5 conda-forge
lightning 2.0.9.post0 pyhd8ed1ab_0 conda-forge
lightning-cloud 0.5.69 pyhd8ed1ab_0 conda-forge
lightning-utilities 0.11.2 pyhd8ed1ab_0 conda-forge
llvm-openmp 18.1.5 hde57baf_0 conda-forge
llvmlite 0.42.0 py312h17030e7_1 conda-forge
loompy 3.0.6 py_0 conda-forge
lz4-c 1.9.4 hb7217d7_0 conda-forge
markdown-it-py 3.0.0 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.5 py312he37b823_0 conda-forge
matplotlib-base 3.8.4 py312h4479663_2 conda-forge
mdurl 0.1.2 pyhd8ed1ab_0 conda-forge
ml-collections 0.1.1 pyhd8ed1ab_0 conda-forge
ml_dtypes 0.4.0 py312h8ae5369_1 conda-forge
more-itertools 10.2.0 pyhd8ed1ab_0 conda-forge
mpc 1.3.1 h91ba8db_0 conda-forge
mpfr 4.2.1 h41d338b_1 conda-forge
mpmath 1.3.0 pyhd8ed1ab_0 conda-forge
msgpack-python 1.0.8 py312h157fec4_0 conda-forge
mudata 0.2.3 pyhd8ed1ab_0 conda-forge
multipledispatch 0.6.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
natsort 8.4.0 pyhd8ed1ab_0 conda-forge
ncurses 6.5 hb89a1cb_0 conda-forge
nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge
networkx 3.3 pyhd8ed1ab_1 conda-forge
nomkl 1.0 h5ca1d4c_0 conda-forge
numba 0.59.1 py312hbaff935_0 conda-forge
numpy 1.26.4 py312h8442bc7_0 conda-forge
numpy_groupies 0.11.1 pyhd8ed1ab_0 conda-forge
numpyro 0.15.0 pyhd8ed1ab_0 conda-forge
openjpeg 2.5.2 h9f1df11_0 conda-forge
openpyxl 3.1.2 py312h02f2b3b_1 conda-forge
openssl 3.3.0 hfb2fe0b_2 conda-forge
opt-einsum 3.3.0 hd8ed1ab_2 conda-forge
opt_einsum 3.3.0 pyhc1e730c_2 conda-forge
optax 0.2.2 pyhd8ed1ab_0 conda-forge
orbax-checkpoint 0.4.4 pyhd8ed1ab_0 conda-forge
ordered-set 4.1.0 pyhd8ed1ab_0 conda-forge
orjson 3.10.3 py312h552d48e_0 conda-forge
packaging 24.0 pyhd8ed1ab_0 conda-forge
pandas 2.2.2 py312h8ae5369_1 conda-forge
patsy 0.5.6 pyhd8ed1ab_0 conda-forge
pexpect 4.9.0 pyhd8ed1ab_0 conda-forge
pillow 10.3.0 py312h8a801b1_0 conda-forge
pip 24.0 pyhd8ed1ab_0 conda-forge
pkginfo 1.10.0 pyhd8ed1ab_0 conda-forge
platformdirs 4.2.2 pyhd8ed1ab_0 conda-forge
poetry 1.8.3 osx_pyh534df25_1 conda-forge
poetry-core 1.9.0 pyhd8ed1ab_0 conda-forge
poetry-plugin-export 1.8.0 pyhd8ed1ab_0 conda-forge
protobuf 4.25.3 py312h1a610f3_0 conda-forge
psutil 5.9.8 py312he37b823_0 conda-forge
pthread-stubs 0.4 h27ca646_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycparser 2.22 pyhd8ed1ab_0 conda-forge
pydantic 1.10.14 py312he37b823_0 conda-forge
pygments 2.18.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.8.0 pyhd8ed1ab_1 conda-forge
pynndescent 0.5.12 pyhca7485f_0 conda-forge
pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge
pyproject_hooks 1.1.0 pyhd8ed1ab_0 conda-forge
pyro-api 0.1.2 pyhd8ed1ab_0 conda-forge
pyro-ppl 1.9.0 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.12.3 h4a7b5fc_0_cpython conda-forge
python-build 1.2.1 pyhd8ed1ab_0 conda-forge
python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge
python-editor 1.0.4 py_0 conda-forge
python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge
python-installer 0.7.0 pyhd8ed1ab_0 conda-forge
python-multipart 0.0.9 pyhd8ed1ab_0 conda-forge
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.12 4_cp312 conda-forge
pytorch 2.3.0 cpu_generic_py312h16b77fb_0 conda-forge
pytorch-lightning 2.2.2 pyhd8ed1ab_0 conda-forge
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.1 py312h02f2b3b_1 conda-forge
rapidfuzz 3.9.1 py312h5c2e7bc_0 conda-forge
rav1e 0.6.6 h69fbcac_2 conda-forge
re2 2023.09.01 h4cba328_2 conda-forge
readchar 4.1.0 pyhd8ed1ab_0 conda-forge
readline 8.2 h92ec313_1 conda-forge
requests 2.32.2 pyhd8ed1ab_0 conda-forge
requests-toolbelt 1.0.0 pyhd8ed1ab_0 conda-forge
rich 13.7.1 pyhd8ed1ab_0 conda-forge
s3transfer 0.10.1 pyhd8ed1ab_0 conda-forge
scanpy 1.10.1 pyhd8ed1ab_0 conda-forge
scikit-learn 1.5.0 py312h1b546db_0 conda-forge
scipy 1.13.0 py312h14ffa8f_1 conda-forge
scvelo 0.2.5 pyhd8ed1ab_0 conda-forge
scvi-tools 1.1.2 pyhd8ed1ab_0 conda-forge
seaborn 0.13.2 hd8ed1ab_2 conda-forge
seaborn-base 0.13.2 pyhd8ed1ab_2 conda-forge
session-info 1.0.0 pyhd8ed1ab_0 conda-forge
setuptools 70.0.0 pyhd8ed1ab_0 conda-forge
shellingham 1.5.4 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.5.1 h156473d_2 conda-forge
snappy 1.2.0 hd04f947_1 conda-forge
sniffio 1.3.1 pyhd8ed1ab_0 conda-forge
soupsieve 2.5 pyhd8ed1ab_1 conda-forge
sparse 0.15.3 pyhd8ed1ab_0 conda-forge
starlette 0.37.2 pyhd8ed1ab_0 conda-forge
starsessions 1.3.0 pyhd8ed1ab_0 conda-forge
statsmodels 0.14.2 py312hbebd99a_0 conda-forge
stdlib-list 0.10.0 pyhd8ed1ab_0 conda-forge
svt-av1 2.1.0 h7bae524_0 conda-forge
sympy 1.12 pypyh9d50eac_103 conda-forge
tbb 2021.12.0 h420ef59_1 conda-forge
tensorstore 0.1.59 py312h38f0887_0 conda-forge
threadpoolctl 3.5.0 pyhc1e730c_0 conda-forge
tk 8.6.13 h5083fa2_1 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
tomlkit 0.12.5 pyha770c72_0 conda-forge
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
torchmetrics 1.4.0.post0 pyhd8ed1ab_0 conda-forge
tqdm 4.66.4 pyhd8ed1ab_0 conda-forge
traitlets 5.14.3 pyhd8ed1ab_0 conda-forge
trove-classifiers 2024.5.17 pyhd8ed1ab_0 conda-forge
typer 0.12.3 pyhd8ed1ab_0 conda-forge
typer-slim 0.12.3 pyhd8ed1ab_0 conda-forge
typer-slim-standard 0.12.3 hd8ed1ab_0 conda-forge
types-python-dateutil 2.9.0.20240316 pyhd8ed1ab_0 conda-forge
typing-extensions 4.11.0 hd8ed1ab_0 conda-forge
typing_extensions 4.11.0 pyha770c72_0 conda-forge
tzdata 2024a h0c530f3_0 conda-forge
ujson 5.10.0 py312h5c2e7bc_0 conda-forge
umap-learn 0.5.5 py312h81bd7bf_1 conda-forge
urllib3 2.2.1 pyhd8ed1ab_0 conda-forge
uvicorn 0.29.0 py312h81bd7bf_0 conda-forge
virtualenv 20.26.2 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
websocket-client 1.8.0 pyhd8ed1ab_0 conda-forge
websockets 12.0 py312he37b823_0 conda-forge
wheel 0.43.0 pyhd8ed1ab_1 conda-forge
xarray 2024.5.0 pyhd8ed1ab_0 conda-forge
xattr 1.1.0 py312he37b823_0 conda-forge
xlrd 1.2.0 pyh9f0ad1d_1 conda-forge
xorg-libxau 1.0.11 hb547adb_0 conda-forge
xorg-libxdmcp 1.1.3 h27ca646_0 conda-forge
xz 5.2.6 h57fd34a_0 conda-forge
yaml 0.2.5 h3422bc3_2 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zstd 1.5.6 hb46c0d2_0 conda-forge
But the error
(scvelo_0.2.5) kevin@Kevins-Laptop ~ % python
Python 3.12.3 | packaged by conda-forge | (main, Apr 15 2024, 18:35:20) [Clang 16.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import scvelo as scv
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/__init__.py", line 5, in <module>
from scvelo import datasets, logging
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/datasets/__init__.py", line 1, in <module>
from ._datasets import (
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/datasets/_datasets.py", line 10, in <module>
from scvelo.core import cleanup
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/core/__init__.py", line 1, in <module>
from ._anndata import (
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/core/_anndata.py", line 15, in <module>
from scvelo import logging as logg
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/logging.py", line 12, in <module>
from scvelo import settings
File "/Users/kevin/miniforge3/envs/scvelo_0.2.5/lib/python3.12/site-packages/scvelo/settings.py", line 91, in <module>
warnings.filterwarnings("ignore", category=cbook.mplDeprecation)
^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'matplotlib.cbook' has no attribute 'mplDeprecation'
Note to self
With:
name: scvelo_0.2.5
channels:
- conda-forge
- bioconda
dependencies:
- scvelo=0.2.5
- matplotlib=3.7.3
I successfully ran
import scvelo as scv
Good news is I'm making progress with scvelo actually running.
Bad news is I'm running into https://github.com/theislab/scvelo/issues/1212 Which requires a bit of custom logic in the velociraptor R code to implement the (temporary 🤞 ) workaround described in https://github.com/theislab/scvelo/issues/1212#issuecomment-1979120563
0%| | 0/200 [00:00<?, ?cells/s]
Error in py_call_impl(callable, call_args$unnamed, call_args$named) :
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (1, 4) + inhomogeneous part.
Run `reticulate::py_last_error()` for details.
In addition: Warning message:
In fun(...) : setting moments
😭
success b9717cacbf70f840dcb1ad9377579eeb5e73230a
using
# scvelo 0.2.5
# and dependencies pinned to fix various issues linked below
.scvelo_dependencies <- c(
"scvelo=0.2.5",
"matplotlib=3.7.3", # https://stackoverflow.com/questions/77128061/ydata-profiling-profilereport-attributeerror-module-matplotlib-cbook-has-no
"tqdm=4.66.4", # required for progress bar
"ipywidgets=8.1.2", # required for progress bar
"jupyterlab=4.2.0", # required for progress bar
"numpy=1.23.1" # https://github.com/OpenTalker/video-retalking/issues/35
)
now the tedious task of pinning all the other dependencies to make my current M1 environment 100% reproducible on other M1's
> basilisk::listPackages("/Users/kevin/Library/Caches/org.R-project.R/R/basilisk/1.14.3/velociraptor/1.15.0/env")
full package
1 absl-py==2.1.0 absl-py
2 anndata==0.10.7 anndata
3 annotated-types==0.7.0 annotated-types
4 anyio==4.3.0 anyio
5 appnope==0.1.4 appnope
6 argon2-cffi==23.1.0 argon2-cffi
7 argon2-cffi-bindings==21.2.0 argon2-cffi-bindings
8 array_api_compat==1.6 array_api_compat
9 arrow==1.3.0 arrow
10 asttokens==2.4.1 asttokens
11 async-lru==2.0.4 async-lru
12 attrs==23.2.0 attrs
13 Babel==2.14.0 Babel
14 beautifulsoup4==4.12.3 beautifulsoup4
15 bleach==6.1.0 bleach
16 blessed==1.19.1 blessed
17 boto3==1.34.109 boto3
18 botocore==1.34.110 botocore
19 Brotli==1.1.0 Brotli
20 build==1.2.1 build
21 CacheControl==0.14.0 CacheControl
22 cached-property==1.5.2 cached-property
23 certifi==2024.2.2 certifi
24 cffi==1.16.0 cffi
25 charset-normalizer==3.3.2 charset-normalizer
26 chex==0.1.83 chex
27 cleo==2.1.0 cleo
28 click==8.1.7 click
29 colorama==0.4.6 colorama
30 comm==0.2.2 comm
31 contextlib2==21.6.0 contextlib2
32 contourpy==1.2.1 contourpy
33 crashtest==0.4.1 crashtest
34 croniter==1.3.15 croniter
35 cycler==0.12.1 cycler
36 dateutils==0.6.12 dateutils
37 debugpy==1.8.1 debugpy
38 decorator==5.1.1 decorator
39 deepdiff==7.0.1 deepdiff
40 defusedxml==0.7.1 defusedxml
41 distlib==0.3.8 distlib
42 dm-tree==0.1.8 dm-tree
43 dnspython==2.6.1 dnspython
44 docrep==0.3.2 docrep
45 dulwich==0.21.7 dulwich
46 email_validator==2.1.1 email_validator
47 entrypoints==0.4 entrypoints
48 et-xmlfile==1.1.0 et-xmlfile
49 etils==1.6.0 etils
50 exceptiongroup==1.2.0 exceptiongroup
51 executing==2.0.1 executing
52 fastapi==0.111.0 fastapi
53 fastapi-cli==0.0.4 fastapi-cli
54 fastjsonschema==2.19.1 fastjsonschema
55 filelock==3.14.0 filelock
56 flax==0.8.3 flax
57 fonttools==4.51.0 fonttools
58 fqdn==1.5.1 fqdn
59 fsspec==2023.12.2 fsspec
60 get-annotations==0.1.2 get-annotations
61 gmpy2==2.1.5 gmpy2
62 h11==0.14.0 h11
63 h2==4.1.0 h2
64 h5py==3.11.0 h5py
65 hpack==4.0.0 hpack
66 httpcore==1.0.5 httpcore
67 httpx==0.27.0 httpx
68 hyperframe==6.0.1 hyperframe
69 idna==3.7 idna
70 importlib_metadata==7.1.0 importlib_metadata
71 importlib_resources==6.4.0 importlib_resources
72 inquirer==3.1.4 inquirer
73 installer==0.7.0 installer
74 ipykernel==6.29.3 ipykernel
75 ipython==8.18.1 ipython
76 ipywidgets==8.1.2 ipywidgets
77 isoduration==20.11.0 isoduration
78 itsdangerous==2.2.0 itsdangerous
79 jaraco.classes==3.4.0 jaraco.classes
80 jax==0.4.27 jax
81 jaxlib==0.4.23.dev20240522 jaxlib
82 jedi==0.19.1 jedi
83 Jinja2==3.1.4 Jinja2
84 jmespath==1.0.1 jmespath
85 joblib==1.4.2 joblib
86 json5==0.9.25 json5
87 jsonpointer==2.4 jsonpointer
88 jsonschema==4.22.0 jsonschema
89 jsonschema-specifications==2023.12.1 jsonschema-specifications
90 jupyter_client==8.6.1 jupyter_client
91 jupyter_core==5.7.2 jupyter_core
92 jupyter-events==0.10.0 jupyter-events
93 jupyter-lsp==2.2.5 jupyter-lsp
94 jupyter_server==2.14.0 jupyter_server
95 jupyter_server_terminals==0.5.3 jupyter_server_terminals
96 jupyterlab==4.2.0 jupyterlab
97 jupyterlab_pygments==0.3.0 jupyterlab_pygments
98 jupyterlab_server==2.27.1 jupyterlab_server
99 jupyterlab_widgets==3.0.10 jupyterlab_widgets
100 keyring==24.3.1 keyring
101 kiwisolver==1.4.5 kiwisolver
102 legacy-api-wrap==1.4 legacy-api-wrap
103 lightning==2.0.4 lightning
104 lightning_cloud==0.5.69 lightning_cloud
105 lightning-utilities==0.11.2 lightning-utilities
106 llvmlite==0.42.0 llvmlite
107 loompy==3.0.6 loompy
108 markdown-it-py==3.0.0 markdown-it-py
109 MarkupSafe==2.1.5 MarkupSafe
110 matplotlib==3.7.3 matplotlib
111 matplotlib-inline==0.1.7 matplotlib-inline
112 mdurl==0.1.2 mdurl
113 mistune==3.0.2 mistune
114 ml-collections==0.1.1 ml-collections
115 ml-dtypes==0.4.0 ml-dtypes
116 more-itertools==10.2.0 more-itertools
117 mpmath==1.3.0 mpmath
118 msgpack==1.0.8 msgpack
119 mudata==0.2.3 mudata
120 multipledispatch==0.6.0 multipledispatch
121 munkres==1.1.4 munkres
122 natsort==8.4.0 natsort
123 nbclient==0.10.0 nbclient
124 nbconvert==7.16.4 nbconvert
125 nbformat==5.10.4 nbformat
126 nest_asyncio==1.6.0 nest_asyncio
127 networkx==3.2.1 networkx
128 notebook_shim==0.2.4 notebook_shim
129 numba==0.59.1 numba
130 numpy==1.23.1 numpy
131 numpy-groupies==0.11.1 numpy-groupies
132 numpyro==0.15.0 numpyro
133 openpyxl==3.1.2 openpyxl
134 opt-einsum==3.3.0 opt-einsum
135 optax==0.2.2 optax
136 orbax-checkpoint==0.4.4 orbax-checkpoint
137 ordered-set==4.1.0 ordered-set
138 orjson==3.10.3 orjson
139 overrides==7.7.0 overrides
140 packaging==24.0 packaging
141 pandas==2.2.2 pandas
142 pandocfilters==1.5.0 pandocfilters
143 parso==0.8.4 parso
144 patsy==0.5.6 patsy
145 pexpect==4.9.0 pexpect
146 pickleshare==0.7.5 pickleshare
147 pillow==10.3.0 pillow
148 pip==24.0 pip
149 pkginfo==1.10.0 pkginfo
150 pkgutil_resolve_name==1.3.10 pkgutil_resolve_name
151 platformdirs==4.2.2 platformdirs
152 poetry==1.8.3 poetry
153 poetry-core==1.9.0 poetry-core
154 poetry-plugin-export==1.8.0 poetry-plugin-export
155 prometheus_client==0.20.0 prometheus_client
156 prompt-toolkit==3.0.42 prompt-toolkit
157 protobuf==4.25.3 protobuf
158 psutil==5.9.8 psutil
159 ptyprocess==0.7.0 ptyprocess
160 pure-eval==0.2.2 pure-eval
161 pycparser==2.22 pycparser
162 pydantic==2.7.1 pydantic
163 pydantic_core==2.18.2 pydantic_core
164 Pygments==2.18.0 Pygments
165 PyJWT==2.8.0 PyJWT
166 pynndescent==0.5.12 pynndescent
167 pyobjc-core==10.2 pyobjc-core
168 pyobjc-framework-Cocoa==10.2 pyobjc-framework-Cocoa
169 pyparsing==3.1.2 pyparsing
170 pyproject_hooks==1.1.0 pyproject_hooks
171 pyro-api==0.1.2 pyro-api
172 pyro-ppl==1.9.0+f02dfb9 pyro-ppl
173 PySocks==1.7.1 PySocks
174 python-dateutil==2.9.0 python-dateutil
175 python-editor==1.0.4 python-editor
176 python-json-logger==2.0.7 python-json-logger
177 python-multipart==0.0.9 python-multipart
178 pytorch-lightning==2.2.2 pytorch-lightning
179 pytz==2024.1 pytz
180 PyYAML==6.0.1 PyYAML
181 pyzmq==26.0.3 pyzmq
182 rapidfuzz==3.9.1 rapidfuzz
183 readchar==4.1.0.dev3 readchar
184 referencing==0.35.1 referencing
185 requests==2.32.2 requests
186 requests-toolbelt==1.0.0 requests-toolbelt
187 rfc3339-validator==0.1.4 rfc3339-validator
188 rfc3986-validator==0.1.1 rfc3986-validator
189 rich==13.7.1 rich
190 rpds-py==0.18.1 rpds-py
191 s3transfer==0.10.1 s3transfer
192 scanpy==1.10.1 scanpy
193 scikit-learn==1.5.0 scikit-learn
194 scipy==1.13.0 scipy
195 scvelo==0.2.5 scvelo
196 scvi-tools==1.1.2 scvi-tools
197 seaborn==0.13.2 seaborn
198 Send2Trash==1.8.3 Send2Trash
199 session-info==1.0.0 session-info
200 setuptools==70.0.0 setuptools
201 shellingham==1.5.4 shellingham
202 six==1.16.0 six
203 sniffio==1.3.1 sniffio
204 soupsieve==2.5 soupsieve
205 sparse==0.15.3 sparse
206 stack-data==0.6.2 stack-data
207 starlette==0.37.2 starlette
208 starsessions==1.3.0 starsessions
209 statsmodels==0.14.2 statsmodels
210 stdlib-list==0.10.0 stdlib-list
211 sympy==1.12 sympy
212 tensorstore==0.1.59 tensorstore
213 terminado==0.18.1 terminado
214 threadpoolctl==3.5.0 threadpoolctl
215 tinycss2==1.3.0 tinycss2
216 tomli==2.0.1 tomli
217 tomlkit==0.12.5 tomlkit
218 toolz==0.12.1 toolz
219 torch==2.3.0 torch
220 torchmetrics==1.4.0.post0 torchmetrics
221 tornado==6.4 tornado
222 tqdm==4.66.4 tqdm
223 traitlets==5.14.3 traitlets
224 trove-classifiers==2024.5.17 trove-classifiers
225 typer==0.12.3 typer
226 typer-slim==0.12.3 typer-slim
227 types-python-dateutil==2.9.0.20240316 types-python-dateutil
228 typing_extensions==4.11.0 typing_extensions
229 typing-utils==0.1.0 typing-utils
230 tzdata==2024.1 tzdata
231 ujson==5.10.0 ujson
232 umap-learn==0.5.5 umap-learn
233 unicodedata2==15.1.0 unicodedata2
234 uri-template==1.3.0 uri-template
235 urllib3==1.26.18 urllib3
236 uvicorn==0.29.0 uvicorn
237 virtualenv==20.26.2 virtualenv
238 wcwidth==0.2.13 wcwidth
239 webcolors==1.13 webcolors
240 webencodings==0.5.1 webencodings
241 websocket-client==1.8.0 websocket-client
242 websockets==11.0.3 websockets
243 wheel==0.43.0 wheel
244 widgetsnbextension==4.0.10 widgetsnbextension
245 xarray==2024.5.0 xarray
246 xattr==1.1.0 xattr
247 xlrd==1.2.0 xlrd
248 zipp==3.17.0 zipp
Anyone willing to try out the updated versions on branch kra-63
?
I've manually (and successfully) tested it on three different machines: macOS M1, Windows and Linux.
Otherwise I'll merge in a week and see what happens in the wild :)
I tried it on an M1 - the kra-63
branch installs, builds the environment and runs without error (I noticed that the results/pseudotimes look a bit different from the previous version for the example data - do you see the same?)
indeed this is my side by side comparison (left: branch kra-63 v 1.15.1; right: latest github vignette v1.9.2)
seems to me it's more an issue with the t-SNE that looks more 'scattered' potentially forcing the vectors to stretch further (I don't know how to formally check if that's the case)
for a more up to date comparison, on the right, v1.14.0 (current bioc release)
problem solved in https://github.com/kevinrue/velociraptor/pull/71/commits/975bd9e106a06c4d7046daf742f1abd40298233c
essentially, the move from scvelo to scanpy for neighbor calculation changed the default value of n_neighbors from 30 to 15
rather than forcing the old default value, the vignette documents the change and educates users to explicitly set the value to 30 themselves. (new default is thus 15)
For the record, after fix, the t-SNE looks like this
Hi,
I am working on a M1 Macbook Pro and I had some issues running
scvelo()
(from the Bioconductor 3.16 release) due to some packages being apparently unavailable:Since the proper arm64 miniconda version was installed, I was able to circumvent this by running the creation of the conda environment and installation of the
scvelo
module manually, i.e.It works properly after this, but I do see that this is likely going to install slightly different package versions from the ones specified in the original manifest in velociraptor, so I'm not sure this hacky fix is the way to go.
Is there something else I should do/should have done?
sessionInfo()
``` R version 4.2.1 (2022-06-23) Platform: aarch64-apple-darwin20 (64-bit) Running under: macOS Monterey 12.5.1 Matrix products: default BLAS: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib locale: [1] C/UTF-8/C/C/C/C attached base packages: [1] stats4 stats graphics grDevices utils datasets methods [8] base other attached packages: [1] scater_1.26.1 ggplot2_3.4.0 [3] scran_1.26.1 scuttle_1.8.3 [5] SingleCellExperiment_1.20.0 velociraptor_1.8.0 [7] SummarizedExperiment_1.28.0 Biobase_2.58.0 [9] GenomicRanges_1.50.2 GenomeInfoDb_1.34.6 [11] IRanges_2.32.0 S4Vectors_0.36.1 [13] BiocGenerics_0.44.0 MatrixGenerics_1.10.0 [15] matrixStats_0.63.0 loaded via a namespace (and not attached): [1] viridis_0.6.2 edgeR_3.40.1 [3] BiocSingular_1.14.0 viridisLite_0.4.1 [5] jsonlite_1.8.4 here_1.0.1 [7] DelayedMatrixStats_1.20.0 assertthat_0.2.1 [9] statmod_1.4.37 BiocManager_1.30.19 [11] dqrng_0.3.0 vipor_0.4.5 [13] GenomeInfoDbData_1.2.9 ggrepel_0.9.2 [15] pillar_1.8.1 lattice_0.20-45 [17] glue_1.6.2 limma_3.54.0 [19] beachmat_2.14.0 reticulate_1.26 [21] XVector_0.38.0 colorspace_2.0-3 [23] Matrix_1.5-3 pkgconfig_2.0.3 [25] zellkonverter_1.8.0 dir.expiry_1.6.0 [27] zlibbioc_1.44.0 scales_1.2.1 [29] ScaledMatrix_1.6.0 BiocParallel_1.32.5 [31] tibble_3.1.8 generics_0.1.3 [33] withr_2.5.0 cli_3.5.0 [35] magrittr_2.0.3 fansi_1.0.3 [37] bluster_1.8.0 beeswarm_0.4.0 [39] tools_4.2.1 lifecycle_1.0.3 [41] basilisk.utils_1.10.0 munsell_0.5.0 [43] locfit_1.5-9.6 cluster_2.1.4 [45] DelayedArray_0.24.0 irlba_2.3.5.1 [47] compiler_4.2.1 rsvd_1.0.5 [49] rlang_1.0.6 grid_4.2.1 [51] RCurl_1.98-1.9 BiocNeighbors_1.16.0 [53] igraph_1.3.5 bitops_1.0-7 [55] basilisk_1.10.2 gtable_0.3.1 [57] codetools_0.2-18 DBI_1.1.3 [59] R6_2.5.1 gridExtra_2.3 [61] dplyr_1.0.10 utf8_1.2.2 [63] rprojroot_2.0.3 filelock_1.0.2 [65] metapod_1.6.0 ggbeeswarm_0.7.1 [67] parallel_4.2.1 Rcpp_1.0.9 [69] vctrs_0.5.1 png_0.1-8 [71] tidyselect_1.2.0 sparseMatrixStats_1.10.0 ```