Charlotte Soneson
| Snapshot Date: 2025-09-15 13:40 -0400 (Mon, 15 Sep 2025) |
| git_url: https://git.bioconductor.org/packages/sketchR |
| git_branch: RELEASE_3_21 |
| git_last_commit: 04d2eca |
| git_last_commit_date: 2025-04-15 13:29:20 -0400 (Tue, 15 Apr 2025) |
| Back to Multiple platform build/check report for BioC 3.21: simplified long |
|
This page was generated on 2025-09-18 11:40 -0400 (Thu, 18 Sep 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 24.04.3 LTS) | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4827 |
| merida1 | macOS 12.7.5 Monterey | x86_64 | 4.5.1 RC (2025-06-05 r88288) -- "Great Square Root" | 4608 |
| kjohnson1 | macOS 13.6.6 Ventura | arm64 | 4.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" | 4549 |
| kunpeng2 | Linux (openEuler 24.03 LTS) | aarch64 | R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences" | 4581 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
| Package 2022/2341 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| sketchR 1.4.0 (landing page) Charlotte Soneson
| nebbiolo1 | Linux (Ubuntu 24.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| merida1 | macOS 12.7.5 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson1 | macOS 13.6.6 Ventura / arm64 | OK | OK | OK | OK | | ||||||||
| kunpeng2 | Linux (openEuler 24.03 LTS) / aarch64 | OK | ERROR | skipped | ||||||||||
|
To the developers/maintainers of the sketchR package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/sketchR.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
| Package: sketchR |
| Version: 1.4.0 |
| Command: /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data sketchR |
| StartedAt: 2025-09-16 12:20:06 -0000 (Tue, 16 Sep 2025) |
| EndedAt: 2025-09-16 12:25:14 -0000 (Tue, 16 Sep 2025) |
| EllapsedTime: 308.1 seconds |
| RetCode: 1 |
| Status: ERROR |
| PackageFile: None |
| PackageFileSize: NA |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data sketchR
###
##############################################################################
##############################################################################
* checking for file ‘sketchR/DESCRIPTION’ ... OK
* preparing ‘sketchR’:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘sketchR.Rmd’ using rmarkdown
Retrieving notices: ...working... done
Channels:
- bioconda
- conda-forge
Platform: linux-aarch64
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... done
## Package Plan ##
environment location: /home/biocbuild/.cache/R/basilisk/1.20.0/sketchR/1.4.0/universal
added / updated specs:
- python=3.11.10
The following packages will be downloaded:
package | build
---------------------------|-----------------
python-3.11.10 |h5d932e8_3_cpython 14.6 MB conda-forge
------------------------------------------------------------
Total: 14.6 MB
The following NEW packages will be INSTALLED:
_openmp_mutex conda-forge/linux-aarch64::_openmp_mutex-4.5-2_gnu
bzip2 conda-forge/linux-aarch64::bzip2-1.0.8-h4777abc_8
ca-certificates conda-forge/noarch::ca-certificates-2025.8.3-hbd8a1cb_0
ld_impl_linux-aar~ conda-forge/linux-aarch64::ld_impl_linux-aarch64-2.44-h5e2c951_1
libexpat conda-forge/linux-aarch64::libexpat-2.7.1-hfae3067_0
libffi conda-forge/linux-aarch64::libffi-3.4.6-he21f813_1
libgcc conda-forge/linux-aarch64::libgcc-15.1.0-he277a41_5
libgcc-ng conda-forge/linux-aarch64::libgcc-ng-15.1.0-he9431aa_5
libgomp conda-forge/linux-aarch64::libgomp-15.1.0-he277a41_5
liblzma conda-forge/linux-aarch64::liblzma-5.8.1-h86ecc28_2
liblzma-devel conda-forge/linux-aarch64::liblzma-devel-5.8.1-h86ecc28_2
libnsl conda-forge/linux-aarch64::libnsl-2.0.1-h86ecc28_1
libsqlite conda-forge/linux-aarch64::libsqlite-3.50.4-h022381a_0
libuuid conda-forge/linux-aarch64::libuuid-2.41.1-h3e4203c_0
libxcrypt conda-forge/linux-aarch64::libxcrypt-4.4.36-h31becfc_1
libzlib conda-forge/linux-aarch64::libzlib-1.3.1-h86ecc28_2
ncurses conda-forge/linux-aarch64::ncurses-6.5-ha32ae93_3
openssl conda-forge/linux-aarch64::openssl-3.5.2-h8e36d6e_0
pip conda-forge/noarch::pip-25.2-pyh8b19718_0
python conda-forge/linux-aarch64::python-3.11.10-h5d932e8_3_cpython
readline conda-forge/linux-aarch64::readline-8.2-h8382b9d_2
setuptools conda-forge/noarch::setuptools-80.9.0-pyhff2d567_0
tk conda-forge/linux-aarch64::tk-8.6.13-noxft_h5688188_102
tzdata conda-forge/noarch::tzdata-2025b-h78e105d_0
wheel conda-forge/noarch::wheel-0.45.1-pyhd8ed1ab_1
xz conda-forge/linux-aarch64::xz-5.8.1-h2dbfc1b_2
xz-gpl-tools conda-forge/linux-aarch64::xz-gpl-tools-5.8.1-h2dbfc1b_2
xz-tools conda-forge/linux-aarch64::xz-tools-5.8.1-h86ecc28_2
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Channels:
- bioconda
- conda-forge
Platform: linux-aarch64
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 24.11.3
latest version: 25.7.0
Please update conda by running
$ conda update -n base -c conda-forge conda
# All requested packages already installed.
Channels:
- bioconda
- conda-forge
Platform: linux-aarch64
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 24.11.3
latest version: 25.7.0
Please update conda by running
$ conda update -n base -c conda-forge conda
## Package Plan ##
environment location: /home/biocbuild/.cache/R/basilisk/1.20.0/sketchR/1.4.0/universal
added / updated specs:
- _openmp_mutex=4.5
- anndata=0.10.9
- array-api-compat=1.9
- brotli-bin=1.1.0
- brotli=1.1.0
- bzip2=1.0.8
- c-ares=1.33.1
- ca-certificates=2024.8.30
- cached-property=1.5.2
- cached_property=1.5.2
- certifi=2024.8.30
- colorama=0.4.6
- contourpy=1.3.0
- cycler=0.12.1
- exceptiongroup=1.2.2
- fonttools=4.54.1
- freetype=2.12.1
- get-annotations=0.1.2
- h5py=3.11.0
- hdf5=1.14.3
- icu=75.1
- joblib=1.4.2
- keyutils=1.6.1
- kiwisolver=1.4.7
- krb5=1.21.3
- lcms2=2.15
- ld_impl_linux-64=2.43
- legacy-api-wrap=1.4
- lerc=4.0.0
- libaec=1.1.3
- libblas=3.9.0
- libbrotlicommon=1.1.0
- libbrotlidec=1.1.0
- libbrotlienc=1.1.0
- libcblas=3.9.0
- libcurl=8.10.1
- libdeflate=1.18
- libedit=3.1.20191231
- libev=4.33
- libexpat=2.6.3
- libffi=3.4.2
- libgcc-ng=14.1.0
- libgcc=14.1.0
- libgfortran-ng=14.1.0
- libgfortran5=14.1.0
- libgfortran=14.1.0
- libgomp=14.1.0
- libhwloc=2.11.1
- libiconv=1.17
- libjpeg-turbo=2.1.5.1
- liblapack=3.9.0
- libllvm14=14.0.6
- libnghttp2=1.58.0
- libnsl=2.0.1
- libopenblas=0.3.27
- libpng=1.6.44
- libsqlite=3.46.1
- libssh2=1.11.0
- libstdcxx-ng=14.1.0
- libstdcxx=14.1.0
- libtiff=4.5.1
- libuuid=2.38.1
- libwebp-base=1.4.0
- libxcb=1.15
- libxcrypt=4.4.36
- libxml2=2.12.7
- libzlib=1.3.1
- llvmlite=0.43.0
- matplotlib-base=3.9.2
- munkres=1.1.4
- natsort=8.4.0
- ncurses=6.5
- networkx=3.3
- numba=0.60.0
- numpy=1.26.4
- openjpeg=2.5.0
- openssl=3.3.2
- packaging=24.1
- pandas=2.2.3
- patsy=0.5.6
- pillow=10.0.0
- pip=24.2
- pthread-stubs=0.4
- pynndescent=0.5.13
- pyparsing=3.1.4
- python-dateutil=2.9.0
- python-tzdata=2024.2
- python[version='3.11.10.*,3.11.10.*']
- python_abi=3.11
- pytz=2024.1
- qhull=2020.2
- readline=8.2
- scanpy=1.10.3
- scikit-learn=1.5.2
- scipy=1.13.1
- seaborn-base=0.13.2
- seaborn=0.13.2
- session-info=1.0.0
- setuptools=75.1.0
- six=1.16.0
- statsmodels=0.14.4
- stdlib-list=0.10.0
- tbb=2021.13.0
- threadpoolctl=3.5.0
- tk=8.6.13
- tqdm=4.66.5
- tzdata=2024b
- umap-learn=0.5.6
- wheel=0.44.0
- xorg-libxau=1.0.11
- xorg-libxdmcp=1.1.5
- xz=5.2.6
- zstd=1.5.6
The following packages will be downloaded:
package | build
---------------------------|-----------------
anndata-0.10.9 | pyhd8ed1ab_0 100 KB conda-forge
array-api-compat-1.9.1 | pyhd8ed1ab_1 37 KB conda-forge
brotli-1.1.0 | he30d5cf_4 20 KB conda-forge
brotli-bin-1.1.0 | he30d5cf_4 19 KB conda-forge
c-ares-1.33.1 | ha64f414_0 188 KB conda-forge
ca-certificates-2024.8.30 | hcefe29a_0 155 KB conda-forge
certifi-2024.8.30 | pyhd8ed1ab_0 160 KB conda-forge
contourpy-1.3.0 | py311hc07b1fb_2 281 KB conda-forge
cycler-0.12.1 | pyhd8ed1ab_1 13 KB conda-forge
exceptiongroup-1.2.2 | pyhd8ed1ab_1 20 KB conda-forge
fonttools-4.54.1 | py311h58d527c_1 2.7 MB conda-forge
freetype-2.12.1 | hf0a5ef3_2 627 KB conda-forge
get-annotations-0.1.2 | pyhd8ed1ab_0 10 KB conda-forge
h5py-3.11.0 |nompi_py311h47ba626_103 1.3 MB conda-forge
hdf5-1.14.3 |nompi_hd1676c9_105 3.8 MB conda-forge
joblib-1.4.2 | pyhd8ed1ab_1 215 KB conda-forge
kiwisolver-1.4.7 | py311h75754e6_0 71 KB conda-forge
lcms2-2.15 | h3e0bdec_1 282 KB conda-forge
ld_impl_linux-64-2.43 | h2746d2a_5 628 KB conda-forge
legacy-api-wrap-1.4.1 | pyhd8ed1ab_0 15 KB conda-forge
lerc-4.0.0 | hfdc4d58_1 222 KB conda-forge
libaec-1.1.3 | h2f0025b_0 35 KB conda-forge
libblas-3.9.0 |24_linuxaarch64_openblas 15 KB conda-forge
libbrotlicommon-1.1.0 | he30d5cf_4 68 KB conda-forge
libbrotlidec-1.1.0 | he30d5cf_4 32 KB conda-forge
libbrotlienc-1.1.0 | he30d5cf_4 291 KB conda-forge
libcblas-3.9.0 |24_linuxaarch64_openblas 15 KB conda-forge
libcurl-8.10.1 | h3ec0cbf_0 429 KB conda-forge
libdeflate-1.18 | hb4cce97_0 65 KB conda-forge
libedit-3.1.20191231 | he28a2e2_2 131 KB conda-forge
libexpat-2.6.3 | h5ad3122_0 71 KB conda-forge
libgcc-14.1.0 | he277a41_1 521 KB conda-forge
libgcc-ng-14.1.0 | he9431aa_1 51 KB conda-forge
libgfortran-14.1.0 | he9431aa_1 51 KB conda-forge
libgfortran-ng-14.1.0 | he9431aa_1 51 KB conda-forge
libgfortran5-14.1.0 | h9420597_1 1.0 MB conda-forge
libgomp-14.1.0 | he277a41_1 451 KB conda-forge
libhwloc-2.11.1 |default_h3030c0e_1000 2.3 MB conda-forge
libjpeg-turbo-2.1.5.1 | h31becfc_1 497 KB conda-forge
liblapack-3.9.0 |24_linuxaarch64_openblas 15 KB conda-forge
libllvm14-14.0.6 | h966f666_4 29.6 MB conda-forge
libopenblas-0.3.27 |pthreads_h076ed1e_1 4.1 MB conda-forge
libpng-1.6.44 | hc4a20ef_0 288 KB conda-forge
libsqlite-3.46.1 | hc4a20ef_0 1.0 MB conda-forge
libstdcxx-14.1.0 | h3f4de04_1 3.6 MB conda-forge
libstdcxx-ng-14.1.0 | hf1166c9_1 51 KB conda-forge
libtiff-4.5.1 | h360e80f_1 445 KB conda-forge
libwebp-base-1.4.0 | h31becfc_0 355 KB conda-forge
libxcb-1.15 | h2a766a3_0 379 KB conda-forge
libxml2-2.12.7 | h00a45b3_4 736 KB conda-forge
llvmlite-0.43.0 | py311hbc3773b_1 3.3 MB conda-forge
matplotlib-base-3.9.2 | py311h0385ec1_2 7.5 MB conda-forge
munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge
networkx-3.3 | pyhd8ed1ab_1 1.1 MB conda-forge
numba-0.60.0 | py311h0792b22_0 5.5 MB conda-forge
openjpeg-2.5.0 | h9508984_2 370 KB conda-forge
openssl-3.3.2 | h86ecc28_0 3.3 MB conda-forge
packaging-24.1 | pyhd8ed1ab_0 49 KB conda-forge
patsy-0.5.6 | pyhd8ed1ab_0 183 KB conda-forge
pillow-10.0.0 | py311h170abe6_0 44.6 MB conda-forge
pip-24.2 | pyh8b19718_1 1.2 MB conda-forge
pthread-stubs-0.4 | h86ecc28_1002 8 KB conda-forge
pynndescent-0.5.13 | pyhd8ed1ab_1 48 KB conda-forge
pyparsing-3.1.4 | pyhd8ed1ab_0 88 KB conda-forge
python-tzdata-2024.2 | pyhd8ed1ab_1 139 KB conda-forge
qhull-2020.2 | h70be974_5 542 KB conda-forge
scanpy-1.10.3 | pyhd8ed1ab_0 1.9 MB conda-forge
scikit-learn-1.5.2 | py311hd29cff0_1 9.9 MB conda-forge
scipy-1.13.1 | py311hbd9a39d_0 16.5 MB conda-forge
seaborn-0.13.2 | hd8ed1ab_3 7 KB conda-forge
seaborn-base-0.13.2 | pyhd8ed1ab_3 223 KB conda-forge
session-info-1.0.0 | pyhd8ed1ab_0 12 KB conda-forge
setuptools-75.1.0 | pyhd8ed1ab_0 759 KB conda-forge
six-1.16.0 | pyhd8ed1ab_1 16 KB conda-forge
statsmodels-0.14.4 | py311h8b8d0ce_2 11.7 MB conda-forge
stdlib-list-0.10.0 | pyhd8ed1ab_0 25 KB conda-forge
tbb-2021.13.0 | h17cf362_0 140 KB conda-forge
threadpoolctl-3.5.0 | pyhc1e730c_0 23 KB conda-forge
tzdata-2024b | hc8b5060_0 119 KB conda-forge
umap-learn-0.5.6 | py311hec3470c_1 184 KB conda-forge
unicodedata2-16.0.0 | py311h19352d5_1 397 KB conda-forge
wheel-0.44.0 | pyhd8ed1ab_0 57 KB conda-forge
xorg-libxau-1.0.11 | h86ecc28_1 15 KB conda-forge
xorg-libxdmcp-1.1.5 | h57736b2_0 20 KB conda-forge
xz-5.2.6 | h9cdd2b7_0 430 KB conda-forge
------------------------------------------------------------
Total: 167.7 MB
The following NEW packages will be INSTALLED:
anndata conda-forge/noarch::anndata-0.10.9-pyhd8ed1ab_0
array-api-compat conda-forge/noarch::array-api-compat-1.9.1-pyhd8ed1ab_1
brotli conda-forge/linux-aarch64::brotli-1.1.0-he30d5cf_4
brotli-bin conda-forge/linux-aarch64::brotli-bin-1.1.0-he30d5cf_4
c-ares conda-forge/linux-aarch64::c-ares-1.33.1-ha64f414_0
cached-property conda-forge/noarch::cached-property-1.5.2-hd8ed1ab_1
cached_property conda-forge/noarch::cached_property-1.5.2-pyha770c72_1
certifi conda-forge/noarch::certifi-2024.8.30-pyhd8ed1ab_0
colorama conda-forge/noarch::colorama-0.4.6-pyhd8ed1ab_1
contourpy conda-forge/linux-aarch64::contourpy-1.3.0-py311hc07b1fb_2
cycler conda-forge/noarch::cycler-0.12.1-pyhd8ed1ab_1
exceptiongroup conda-forge/noarch::exceptiongroup-1.2.2-pyhd8ed1ab_1
fonttools conda-forge/linux-aarch64::fonttools-4.54.1-py311h58d527c_1
freetype conda-forge/linux-aarch64::freetype-2.12.1-hf0a5ef3_2
get-annotations conda-forge/noarch::get-annotations-0.1.2-pyhd8ed1ab_0
h5py conda-forge/linux-aarch64::h5py-3.11.0-nompi_py311h47ba626_103
hdf5 conda-forge/linux-aarch64::hdf5-1.14.3-nompi_hd1676c9_105
icu conda-forge/linux-aarch64::icu-75.1-hf9b3779_0
joblib conda-forge/noarch::joblib-1.4.2-pyhd8ed1ab_1
keyutils conda-forge/linux-aarch64::keyutils-1.6.1-h4e544f5_0
kiwisolver conda-forge/linux-aarch64::kiwisolver-1.4.7-py311h75754e6_0
krb5 conda-forge/linux-aarch64::krb5-1.21.3-h50a48e9_0
lcms2 conda-forge/linux-aarch64::lcms2-2.15-h3e0bdec_1
ld_impl_linux-64 conda-forge/linux-aarch64::ld_impl_linux-64-2.43-h2746d2a_5
legacy-api-wrap conda-forge/noarch::legacy-api-wrap-1.4.1-pyhd8ed1ab_0
lerc conda-forge/linux-aarch64::lerc-4.0.0-hfdc4d58_1
libaec conda-forge/linux-aarch64::libaec-1.1.3-h2f0025b_0
libblas conda-forge/linux-aarch64::libblas-3.9.0-24_linuxaarch64_openblas
libbrotlicommon conda-forge/linux-aarch64::libbrotlicommon-1.1.0-he30d5cf_4
libbrotlidec conda-forge/linux-aarch64::libbrotlidec-1.1.0-he30d5cf_4
libbrotlienc conda-forge/linux-aarch64::libbrotlienc-1.1.0-he30d5cf_4
libcblas conda-forge/linux-aarch64::libcblas-3.9.0-24_linuxaarch64_openblas
libcurl conda-forge/linux-aarch64::libcurl-8.10.1-h3ec0cbf_0
libdeflate conda-forge/linux-aarch64::libdeflate-1.18-hb4cce97_0
libedit conda-forge/linux-aarch64::libedit-3.1.20191231-he28a2e2_2
libev conda-forge/linux-aarch64::libev-4.33-h31becfc_2
libgfortran conda-forge/linux-aarch64::libgfortran-14.1.0-he9431aa_1
libgfortran-ng conda-forge/linux-aarch64::libgfortran-ng-14.1.0-he9431aa_1
libgfortran5 conda-forge/linux-aarch64::libgfortran5-14.1.0-h9420597_1
libhwloc conda-forge/linux-aarch64::libhwloc-2.11.1-default_h3030c0e_1000
libiconv conda-forge/linux-aarch64::libiconv-1.17-h31becfc_2
libjpeg-turbo conda-forge/linux-aarch64::libjpeg-turbo-2.1.5.1-h31becfc_1
liblapack conda-forge/linux-aarch64::liblapack-3.9.0-24_linuxaarch64_openblas
libllvm14 conda-forge/linux-aarch64::libllvm14-14.0.6-h966f666_4
libnghttp2 conda-forge/linux-aarch64::libnghttp2-1.58.0-hb0e430d_1
libopenblas conda-forge/linux-aarch64::libopenblas-0.3.27-pthreads_h076ed1e_1
libpng conda-forge/linux-aarch64::libpng-1.6.44-hc4a20ef_0
libssh2 conda-forge/linux-aarch64::libssh2-1.11.0-h492db2e_0
libstdcxx conda-forge/linux-aarch64::libstdcxx-14.1.0-h3f4de04_1
libstdcxx-ng conda-forge/linux-aarch64::libstdcxx-ng-14.1.0-hf1166c9_1
libtiff conda-forge/linux-aarch64::libtiff-4.5.1-h360e80f_1
libwebp-base conda-forge/linux-aarch64::libwebp-base-1.4.0-h31becfc_0
libxcb conda-forge/linux-aarch64::libxcb-1.15-h2a766a3_0
libxml2 conda-forge/linux-aarch64::libxml2-2.12.7-h00a45b3_4
llvmlite conda-forge/linux-aarch64::llvmlite-0.43.0-py311hbc3773b_1
matplotlib-base conda-forge/linux-aarch64::matplotlib-base-3.9.2-py311h0385ec1_2
munkres conda-forge/noarch::munkres-1.1.4-pyhd8ed1ab_1
natsort conda-forge/noarch::natsort-8.4.0-pyh29332c3_1
networkx conda-forge/noarch::networkx-3.3-pyhd8ed1ab_1
numba conda-forge/linux-aarch64::numba-0.60.0-py311h0792b22_0
numpy conda-forge/linux-aarch64::numpy-1.26.4-py311h69ead2a_0
openjpeg conda-forge/linux-aarch64::openjpeg-2.5.0-h9508984_2
packaging conda-forge/noarch::packaging-24.1-pyhd8ed1ab_0
pandas conda-forge/linux-aarch64::pandas-2.2.3-py311h848c333_3
patsy conda-forge/noarch::patsy-0.5.6-pyhd8ed1ab_0
pillow conda-forge/linux-aarch64::pillow-10.0.0-py311h170abe6_0
pthread-stubs conda-forge/linux-aarch64::pthread-stubs-0.4-h86ecc28_1002
pynndescent conda-forge/noarch::pynndescent-0.5.13-pyhd8ed1ab_1
pyparsing conda-forge/noarch::pyparsing-3.1.4-pyhd8ed1ab_0
python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2
python-tzdata conda-forge/noarch::python-tzdata-2024.2-pyhd8ed1ab_1
python_abi conda-forge/noarch::python_abi-3.11-8_cp311
pytz conda-forge/noarch::pytz-2024.1-pyhd8ed1ab_0
qhull conda-forge/linux-aarch64::qhull-2020.2-h70be974_5
scanpy conda-forge/noarch::scanpy-1.10.3-pyhd8ed1ab_0
scikit-learn conda-forge/linux-aarch64::scikit-learn-1.5.2-py311hd29cff0_1
scipy conda-forge/linux-aarch64::scipy-1.13.1-py311hbd9a39d_0
seaborn conda-forge/noarch::seaborn-0.13.2-hd8ed1ab_3
seaborn-base conda-forge/noarch::seaborn-base-0.13.2-pyhd8ed1ab_3
session-info conda-forge/noarch::session-info-1.0.0-pyhd8ed1ab_0
six conda-forge/noarch::six-1.16.0-pyhd8ed1ab_1
statsmodels conda-forge/linux-aarch64::statsmodels-0.14.4-py311h8b8d0ce_2
stdlib-list conda-forge/noarch::stdlib-list-0.10.0-pyhd8ed1ab_0
tbb conda-forge/linux-aarch64::tbb-2021.13.0-h17cf362_0
threadpoolctl conda-forge/noarch::threadpoolctl-3.5.0-pyhc1e730c_0
tqdm conda-forge/noarch::tqdm-4.66.5-pyhd8ed1ab_0
umap-learn conda-forge/linux-aarch64::umap-learn-0.5.6-py311hec3470c_1
unicodedata2 conda-forge/linux-aarch64::unicodedata2-16.0.0-py311h19352d5_1
xorg-libxau conda-forge/linux-aarch64::xorg-libxau-1.0.11-h86ecc28_1
xorg-libxdmcp conda-forge/linux-aarch64::xorg-libxdmcp-1.1.5-h57736b2_0
zstd conda-forge/linux-aarch64::zstd-1.5.6-h02f22dd_0
The following packages will be REMOVED:
liblzma-5.8.1-h86ecc28_2
liblzma-devel-5.8.1-h86ecc28_2
xz-gpl-tools-5.8.1-h2dbfc1b_2
xz-tools-5.8.1-h86ecc28_2
The following packages will be SUPERSEDED by a higher-priority channel:
ca-certificates conda-forge/noarch::ca-certificates-2~ --> conda-forge/linux-aarch64::ca-certificates-2024.8.30-hcefe29a_0
The following packages will be DOWNGRADED:
libexpat 2.7.1-hfae3067_0 --> 2.6.3-h5ad3122_0
libffi 3.4.6-he21f813_1 --> 3.4.2-h3557bc0_5
libgcc 15.1.0-he277a41_5 --> 14.1.0-he277a41_1
libgcc-ng 15.1.0-he9431aa_5 --> 14.1.0-he9431aa_1
libgomp 15.1.0-he277a41_5 --> 14.1.0-he277a41_1
libsqlite 3.50.4-h022381a_0 --> 3.46.1-hc4a20ef_0
libuuid 2.41.1-h3e4203c_0 --> 2.38.1-hb4cce97_0
openssl 3.5.2-h8e36d6e_0 --> 3.3.2-h86ecc28_0
pip 25.2-pyh8b19718_0 --> 24.2-pyh8b19718_1
setuptools 80.9.0-pyhff2d567_0 --> 75.1.0-pyhd8ed1ab_0
tzdata 2025b-h78e105d_0 --> 2024b-hc8b5060_0
wheel 0.45.1-pyhd8ed1ab_1 --> 0.44.0-pyhd8ed1ab_0
xz 5.8.1-h2dbfc1b_2 --> 5.2.6-h9cdd2b7_0
Downloading and Extracting Packages: ...working...
pillow-10.0.0 | 44.6 MB | | 0%
libllvm14-14.0.6 | 29.6 MB | | 0% [A
scipy-1.13.1 | 16.5 MB | | 0% [A[A
statsmodels-0.14.4 | 11.7 MB | | 0% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | | 0% [A[A[A[A
matplotlib-base-3.9. | 7.5 MB | | 0% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | | 0% [A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | | 0% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | | 0% [A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | | 0% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pip-24.2 | 1.2 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
libgfortran5-14.1.0 | 1.0 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
... (more hidden) ...[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | | 0% [A
pillow-10.0.0 | 44.6 MB | | 0%
pillow-10.0.0 | 44.6 MB | | 0%
statsmodels-0.14.4 | 11.7 MB | | 0% [A[A[A
statsmodels-0.14.4 | 11.7 MB | | 1% [A[A[A
pillow-10.0.0 | 44.6 MB | | 0%
statsmodels-0.14.4 | 11.7 MB | 1 | 1% [A[A[A
pillow-10.0.0 | 44.6 MB | | 0%
libllvm14-14.0.6 | 29.6 MB | 7 | 8% [A
statsmodels-0.14.4 | 11.7 MB | 1 | 2% [A[A[A
pillow-10.0.0 | 44.6 MB | | 1%
statsmodels-0.14.4 | 11.7 MB | 2 | 2% [A[A[A
pillow-10.0.0 | 44.6 MB | | 1%
libllvm14-14.0.6 | 29.6 MB | 8 | 9% [A
scipy-1.13.1 | 16.5 MB | | 0% [A[A
scikit-learn-1.5.2 | 9.9 MB | | 0% [A[A[A[A
scipy-1.13.1 | 16.5 MB | | 0% [A[A
scikit-learn-1.5.2 | 9.9 MB | 1 | 1% [A[A[A[A
pillow-10.0.0 | 44.6 MB | | 1%
statsmodels-0.14.4 | 11.7 MB | 2 | 2% [A[A[A
scipy-1.13.1 | 16.5 MB | | 1% [A[A
pillow-10.0.0 | 44.6 MB | 1 | 1%
statsmodels-0.14.4 | 11.7 MB | 3 | 3% [A[A[A
scipy-1.13.1 | 16.5 MB | | 1% [A[A
statsmodels-0.14.4 | 11.7 MB | 3 | 3% [A[A[A
scipy-1.13.1 | 16.5 MB | 1 | 1% [A[A
scikit-learn-1.5.2 | 9.9 MB | 2 | 2% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 1 | 1%
scipy-1.13.1 | 16.5 MB | 1 | 1% [A[A
statsmodels-0.14.4 | 11.7 MB | 3 | 4% [A[A[A
scipy-1.13.1 | 16.5 MB | 1 | 2% [A[A
pillow-10.0.0 | 44.6 MB | 1 | 2%
statsmodels-0.14.4 | 11.7 MB | 4 | 4% [A[A[A
scipy-1.13.1 | 16.5 MB | 1 | 2% [A[A
statsmodels-0.14.4 | 11.7 MB | 4 | 5% [A[A[A
scipy-1.13.1 | 16.5 MB | 1 | 2% [A[A
pillow-10.0.0 | 44.6 MB | 1 | 2%
scikit-learn-1.5.2 | 9.9 MB | 2 | 3% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 1 | 2%
statsmodels-0.14.4 | 11.7 MB | 4 | 5% [A[A[A
scipy-1.13.1 | 16.5 MB | 2 | 2% [A[A
libllvm14-14.0.6 | 29.6 MB | # | 11% [A
pillow-10.0.0 | 44.6 MB | 1 | 2%
scipy-1.13.1 | 16.5 MB | 2 | 2% [A[A
statsmodels-0.14.4 | 11.7 MB | 5 | 5% [A[A[A
pillow-10.0.0 | 44.6 MB | 1 | 2%
scipy-1.13.1 | 16.5 MB | 2 | 3% [A[A
libllvm14-14.0.6 | 29.6 MB | #1 | 12% [A
pillow-10.0.0 | 44.6 MB | 2 | 2%
scipy-1.13.1 | 16.5 MB | 3 | 4% [A[A
scikit-learn-1.5.2 | 9.9 MB | 3 | 3% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | 5 | 5% [A[A[A
statsmodels-0.14.4 | 11.7 MB | 6 | 6% [A[A[A
scipy-1.13.1 | 16.5 MB | 4 | 4% [A[A
scikit-learn-1.5.2 | 9.9 MB | 3 | 4% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 2 | 2%
statsmodels-0.14.4 | 11.7 MB | 6 | 6% [A[A[A
libllvm14-14.0.6 | 29.6 MB | #2 | 12% [A
scipy-1.13.1 | 16.5 MB | 4 | 5% [A[A
scikit-learn-1.5.2 | 9.9 MB | 3 | 4% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | 6 | 7% [A[A[A
libllvm14-14.0.6 | 29.6 MB | #2 | 13% [A
statsmodels-0.14.4 | 11.7 MB | 7 | 7% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | 4 | 4% [A[A[A[A
scipy-1.13.1 | 16.5 MB | 5 | 5% [A[A
libllvm14-14.0.6 | 29.6 MB | #2 | 13% [A
scipy-1.13.1 | 16.5 MB | 5 | 6% [A[A
pillow-10.0.0 | 44.6 MB | 2 | 3%
statsmodels-0.14.4 | 11.7 MB | 7 | 7% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | 4 | 5% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #3 | 14% [A
libllvm14-14.0.6 | 29.6 MB | #3 | 14% [A
libllvm14-14.0.6 | 29.6 MB | #4 | 14% [A
statsmodels-0.14.4 | 11.7 MB | 7 | 8% [A[A[A
pillow-10.0.0 | 44.6 MB | 2 | 3%
scipy-1.13.1 | 16.5 MB | 7 | 7% [A[A
scikit-learn-1.5.2 | 9.9 MB | 4 | 5% [A[A[A[A
scipy-1.13.1 | 16.5 MB | 9 | 9% [A[A
statsmodels-0.14.4 | 11.7 MB | 8 | 9% [A[A[A
pillow-10.0.0 | 44.6 MB | 3 | 3%
scikit-learn-1.5.2 | 9.9 MB | 4 | 5% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | 9 | 9% [A[A[A
scipy-1.13.1 | 16.5 MB | # | 10% [A[A
pillow-10.0.0 | 44.6 MB | 3 | 3%
libllvm14-14.0.6 | 29.6 MB | #4 | 14% [A
statsmodels-0.14.4 | 11.7 MB | # | 10% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | 5 | 5% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 3 | 4%
libllvm14-14.0.6 | 29.6 MB | #4 | 15% [A
statsmodels-0.14.4 | 11.7 MB | # | 10% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | 5 | 5% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #4 | 15% [A
scipy-1.13.1 | 16.5 MB | #1 | 12% [A[A
libllvm14-14.0.6 | 29.6 MB | #4 | 15% [A
statsmodels-0.14.4 | 11.7 MB | #2 | 12% [A[A[A
scipy-1.13.1 | 16.5 MB | #2 | 12% [A[A
scikit-learn-1.5.2 | 9.9 MB | 5 | 5% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #2 | 13% [A[A[A
pillow-10.0.0 | 44.6 MB | 3 | 4%
libllvm14-14.0.6 | 29.6 MB | #5 | 15% [A
scipy-1.13.1 | 16.5 MB | #3 | 14% [A[A
pillow-10.0.0 | 44.6 MB | 3 | 4%
libllvm14-14.0.6 | 29.6 MB | #5 | 15% [A
scipy-1.13.1 | 16.5 MB | #4 | 15% [A[A
pillow-10.0.0 | 44.6 MB | 3 | 4%
libllvm14-14.0.6 | 29.6 MB | #5 | 15% [A
pillow-10.0.0 | 44.6 MB | 4 | 4%
scipy-1.13.1 | 16.5 MB | #5 | 15% [A[A
scikit-learn-1.5.2 | 9.9 MB | 5 | 6% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 4 | 4%
libllvm14-14.0.6 | 29.6 MB | #5 | 16% [A
scikit-learn-1.5.2 | 9.9 MB | 6 | 6% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #6 | 17% [A[A
scikit-learn-1.5.2 | 9.9 MB | 6 | 7% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #8 | 18% [A[A
scikit-learn-1.5.2 | 9.9 MB | 7 | 7% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 4 | 4%
libllvm14-14.0.6 | 29.6 MB | #5 | 16% [A
pillow-10.0.0 | 44.6 MB | 4 | 4%
scipy-1.13.1 | 16.5 MB | #8 | 19% [A[A
scikit-learn-1.5.2 | 9.9 MB | 7 | 7% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #5 | 16% [A
statsmodels-0.14.4 | 11.7 MB | #3 | 13% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | 7 | 8% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #9 | 19% [A[A
statsmodels-0.14.4 | 11.7 MB | #3 | 14% [A[A[A
libllvm14-14.0.6 | 29.6 MB | #6 | 16% [A
scikit-learn-1.5.2 | 9.9 MB | 8 | 8% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #6 | 16% [A
scikit-learn-1.5.2 | 9.9 MB | 8 | 9% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 4 | 5%
statsmodels-0.14.4 | 11.7 MB | #5 | 16% [A[A[A
pillow-10.0.0 | 44.6 MB | 4 | 5%
scipy-1.13.1 | 16.5 MB | #9 | 20% [A[A
libllvm14-14.0.6 | 29.6 MB | #6 | 17% [A
scikit-learn-1.5.2 | 9.9 MB | 9 | 9% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 5 | 5%
pillow-10.0.0 | 44.6 MB | 5 | 5%
scipy-1.13.1 | 16.5 MB | ## | 20% [A[A
scikit-learn-1.5.2 | 9.9 MB | 9 | 10% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 5 | 5%
statsmodels-0.14.4 | 11.7 MB | #6 | 16% [A[A[A
scipy-1.13.1 | 16.5 MB | ## | 21% [A[A
scikit-learn-1.5.2 | 9.9 MB | #1 | 11% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##1 | 22% [A[A
libllvm14-14.0.6 | 29.6 MB | #6 | 17% [A
scikit-learn-1.5.2 | 9.9 MB | #1 | 12% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##2 | 22% [A[A
statsmodels-0.14.4 | 11.7 MB | #6 | 17% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #2 | 12% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 5 | 5%
scikit-learn-1.5.2 | 9.9 MB | #3 | 14% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 5 | 6%
pillow-10.0.0 | 44.6 MB | 5 | 6%
libllvm14-14.0.6 | 29.6 MB | #7 | 17% [A
scikit-learn-1.5.2 | 9.9 MB | #4 | 15% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #7 | 17% [A[A[A
pillow-10.0.0 | 44.6 MB | 5 | 6%
scipy-1.13.1 | 16.5 MB | ##3 | 23% [A[A
pillow-10.0.0 | 44.6 MB | 5 | 6%
pillow-10.0.0 | 44.6 MB | 6 | 6%
scikit-learn-1.5.2 | 9.9 MB | #5 | 15% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #8 | 18% [A[A[A
statsmodels-0.14.4 | 11.7 MB | #9 | 19% [A[A[A
pillow-10.0.0 | 44.6 MB | 6 | 6%
scikit-learn-1.5.2 | 9.9 MB | #5 | 16% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##3 | 24% [A[A
statsmodels-0.14.4 | 11.7 MB | ## | 20% [A[A[A
pillow-10.0.0 | 44.6 MB | 6 | 7%
libllvm14-14.0.6 | 29.6 MB | #7 | 18% [A
scikit-learn-1.5.2 | 9.9 MB | #6 | 16% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #6 | 17% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##4 | 24% [A[A
pillow-10.0.0 | 44.6 MB | 6 | 7%
statsmodels-0.14.4 | 11.7 MB | ## | 21% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #7 | 17% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##4 | 24% [A[A
scikit-learn-1.5.2 | 9.9 MB | #7 | 17% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #7 | 18% [A
pillow-10.0.0 | 44.6 MB | 7 | 7%
scipy-1.13.1 | 16.5 MB | ##4 | 25% [A[A
scipy-1.13.1 | 16.5 MB | ##4 | 25% [A[A
statsmodels-0.14.4 | 11.7 MB | ##1 | 21% [A[A[A
pillow-10.0.0 | 44.6 MB | 7 | 8%
scipy-1.13.1 | 16.5 MB | ##5 | 25% [A[A
libllvm14-14.0.6 | 29.6 MB | #8 | 18% [A
scikit-learn-1.5.2 | 9.9 MB | #7 | 18% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #8 | 18% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #8 | 18% [A[A[A[A
pillow-10.0.0 | 44.6 MB | 8 | 9%
libllvm14-14.0.6 | 29.6 MB | ## | 20% [A
libllvm14-14.0.6 | 29.6 MB | ## | 20% [A
pillow-10.0.0 | 44.6 MB | 9 | 9%
pillow-10.0.0 | 44.6 MB | 9 | 10%
libllvm14-14.0.6 | 29.6 MB | ## | 21% [A
libllvm14-14.0.6 | 29.6 MB | ## | 21% [A
pillow-10.0.0 | 44.6 MB | # | 10%
libllvm14-14.0.6 | 29.6 MB | ##1 | 21% [A
scikit-learn-1.5.2 | 9.9 MB | #8 | 19% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ##1 | 21% [A
scikit-learn-1.5.2 | 9.9 MB | #8 | 19% [A[A[A[A
pillow-10.0.0 | 44.6 MB | # | 10%
scipy-1.13.1 | 16.5 MB | ##5 | 25% [A[A
pillow-10.0.0 | 44.6 MB | #1 | 11%
scipy-1.13.1 | 16.5 MB | ##5 | 26% [A[A
statsmodels-0.14.4 | 11.7 MB | ##1 | 22% [A[A[A
scipy-1.13.1 | 16.5 MB | ##5 | 26% [A[A
pillow-10.0.0 | 44.6 MB | #1 | 12%
scipy-1.13.1 | 16.5 MB | ##5 | 26% [A[A
pillow-10.0.0 | 44.6 MB | #2 | 12%
scipy-1.13.1 | 16.5 MB | ##6 | 26% [A[A
statsmodels-0.14.4 | 11.7 MB | ##1 | 22% [A[A[A
pillow-10.0.0 | 44.6 MB | #2 | 13%
scipy-1.13.1 | 16.5 MB | ##6 | 26% [A[A
pillow-10.0.0 | 44.6 MB | #3 | 13%
scipy-1.13.1 | 16.5 MB | ##6 | 26% [A[A
statsmodels-0.14.4 | 11.7 MB | ##2 | 22% [A[A[A
pillow-10.0.0 | 44.6 MB | #3 | 14%
scikit-learn-1.5.2 | 9.9 MB | #9 | 19% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##6 | 27% [A[A
scikit-learn-1.5.2 | 9.9 MB | #9 | 20% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##2 | 22% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #9 | 20% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ##6 | 27% [A[A
pillow-10.0.0 | 44.6 MB | #4 | 14%
scikit-learn-1.5.2 | 9.9 MB | ## | 20% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ## | 21% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #4 | 15%
scipy-1.13.1 | 16.5 MB | ##7 | 27% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##1 | 21% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##2 | 22% [A[A[A
scipy-1.13.1 | 16.5 MB | ##7 | 28% [A[A
pillow-10.0.0 | 44.6 MB | #5 | 15%
scikit-learn-1.5.2 | 9.9 MB | ##1 | 21% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #5 | 16%
pillow-10.0.0 | 44.6 MB | #5 | 16%
pillow-10.0.0 | 44.6 MB | #6 | 16%
scipy-1.13.1 | 16.5 MB | ##7 | 28% [A[A
statsmodels-0.14.4 | 11.7 MB | ##2 | 23% [A[A[A
scipy-1.13.1 | 16.5 MB | ##9 | 29% [A[A
pillow-10.0.0 | 44.6 MB | #6 | 16%
libllvm14-14.0.6 | 29.6 MB | ##1 | 21% [A
statsmodels-0.14.4 | 11.7 MB | ##2 | 23% [A[A[A
scipy-1.13.1 | 16.5 MB | ##9 | 29% [A[A
pillow-10.0.0 | 44.6 MB | #6 | 17%
statsmodels-0.14.4 | 11.7 MB | ##2 | 23% [A[A[A
scipy-1.13.1 | 16.5 MB | ### | 30% [A[A
libllvm14-14.0.6 | 29.6 MB | ##1 | 22% [A
scikit-learn-1.5.2 | 9.9 MB | ##1 | 22% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##2 | 23% [A[A[A
scipy-1.13.1 | 16.5 MB | ### | 31% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##1 | 22% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #6 | 17%
scipy-1.13.1 | 16.5 MB | ### | 31% [A[A
statsmodels-0.14.4 | 11.7 MB | ##3 | 23% [A[A[A
pillow-10.0.0 | 44.6 MB | #7 | 17%
statsmodels-0.14.4 | 11.7 MB | ##3 | 24% [A[A[A
statsmodels-0.14.4 | 11.7 MB | ##4 | 24% [A[A[A
scipy-1.13.1 | 16.5 MB | ###2 | 32% [A[A
libllvm14-14.0.6 | 29.6 MB | ##2 | 22% [A
statsmodels-0.14.4 | 11.7 MB | ##4 | 25% [A[A[A
scipy-1.13.1 | 16.5 MB | ###2 | 33% [A[A
libllvm14-14.0.6 | 29.6 MB | ##3 | 23% [A
scikit-learn-1.5.2 | 9.9 MB | ##2 | 22% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ###3 | 34% [A[A
libllvm14-14.0.6 | 29.6 MB | ##3 | 23% [A
scikit-learn-1.5.2 | 9.9 MB | ##2 | 23% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##4 | 25% [A[A[A
scipy-1.13.1 | 16.5 MB | ###4 | 34% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##2 | 23% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #7 | 17%
statsmodels-0.14.4 | 11.7 MB | ##5 | 25% [A[A[A
scipy-1.13.1 | 16.5 MB | ###4 | 35% [A[A
libllvm14-14.0.6 | 29.6 MB | ##4 | 24% [A
statsmodels-0.14.4 | 11.7 MB | ##5 | 26% [A[A[A
scipy-1.13.1 | 16.5 MB | ###4 | 35% [A[A
libllvm14-14.0.6 | 29.6 MB | ##4 | 24% [A
libllvm14-14.0.6 | 29.6 MB | ##4 | 25% [A
scipy-1.13.1 | 16.5 MB | ###5 | 35% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##3 | 23% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ##4 | 25% [A
scipy-1.13.1 | 16.5 MB | ###6 | 37% [A[A
statsmodels-0.14.4 | 11.7 MB | ##5 | 26% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ##3 | 24% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ###8 | 38% [A[A
statsmodels-0.14.4 | 11.7 MB | ##6 | 26% [A[A[A
statsmodels-0.14.4 | 11.7 MB | ##6 | 26% [A[A[A
scipy-1.13.1 | 16.5 MB | ###9 | 40% [A[A
scipy-1.13.1 | 16.5 MB | #### | 41% [A[A
libllvm14-14.0.6 | 29.6 MB | ##4 | 25% [A
scikit-learn-1.5.2 | 9.9 MB | ##4 | 24% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####2 | 43% [A[A
pillow-10.0.0 | 44.6 MB | #7 | 17%
libllvm14-14.0.6 | 29.6 MB | ##5 | 25% [A
pillow-10.0.0 | 44.6 MB | #7 | 18%
scikit-learn-1.5.2 | 9.9 MB | ##4 | 24% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####3 | 43% [A[A
statsmodels-0.14.4 | 11.7 MB | ##6 | 27% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ##4 | 25% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####4 | 44% [A[A
libllvm14-14.0.6 | 29.6 MB | ##5 | 25% [A
pillow-10.0.0 | 44.6 MB | #7 | 18%
pillow-10.0.0 | 44.6 MB | #7 | 18%
libllvm14-14.0.6 | 29.6 MB | ##5 | 25% [A
statsmodels-0.14.4 | 11.7 MB | ##7 | 27% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##5 | 26% [A
statsmodels-0.14.4 | 11.7 MB | ##7 | 27% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ##4 | 25% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####5 | 45% [A[A
libllvm14-14.0.6 | 29.6 MB | ##6 | 26% [A
pillow-10.0.0 | 44.6 MB | #7 | 18%
statsmodels-0.14.4 | 11.7 MB | ##7 | 28% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ##5 | 25% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #7 | 18%
scipy-1.13.1 | 16.5 MB | ####5 | 46% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##5 | 25% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##8 | 28% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##6 | 26% [A
pillow-10.0.0 | 44.6 MB | #8 | 18%
scipy-1.13.1 | 16.5 MB | ####6 | 46% [A[A
pillow-10.0.0 | 44.6 MB | #8 | 18%
scikit-learn-1.5.2 | 9.9 MB | ##5 | 25% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####7 | 47% [A[A
statsmodels-0.14.4 | 11.7 MB | ##8 | 28% [A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 18%
libllvm14-14.0.6 | 29.6 MB | ##6 | 27% [A
statsmodels-0.14.4 | 11.7 MB | ##8 | 29% [A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 18%
scikit-learn-1.5.2 | 9.9 MB | ##5 | 26% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##9 | 29% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##7 | 27% [A
scikit-learn-1.5.2 | 9.9 MB | ##6 | 26% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ##9 | 30% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ##6 | 27% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ##7 | 27% [A
pillow-10.0.0 | 44.6 MB | #8 | 19%
scikit-learn-1.5.2 | 9.9 MB | ##6 | 27% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ### | 30% [A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 19%
scikit-learn-1.5.2 | 9.9 MB | ##7 | 27% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ###1 | 31% [A[A[A
scipy-1.13.1 | 16.5 MB | ####7 | 48% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##7 | 28% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ####8 | 48% [A[A
libllvm14-14.0.6 | 29.6 MB | ##7 | 27% [A
statsmodels-0.14.4 | 11.7 MB | ###1 | 32% [A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 19%
statsmodels-0.14.4 | 11.7 MB | ###2 | 32% [A[A[A
scipy-1.13.1 | 16.5 MB | ####8 | 49% [A[A
libllvm14-14.0.6 | 29.6 MB | ##7 | 28% [A
scikit-learn-1.5.2 | 9.9 MB | ##7 | 28% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 19%
libllvm14-14.0.6 | 29.6 MB | ##7 | 28% [A
scikit-learn-1.5.2 | 9.9 MB | ##8 | 28% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ###3 | 33% [A[A[A
scipy-1.13.1 | 16.5 MB | ####9 | 50% [A[A
libllvm14-14.0.6 | 29.6 MB | ##7 | 28% [A
scipy-1.13.1 | 16.5 MB | ####9 | 50% [A[A
scikit-learn-1.5.2 | 9.9 MB | ##8 | 29% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 19%
libllvm14-14.0.6 | 29.6 MB | ##8 | 28% [A
statsmodels-0.14.4 | 11.7 MB | ###4 | 35% [A[A[A
pillow-10.0.0 | 44.6 MB | #8 | 19%
scikit-learn-1.5.2 | 9.9 MB | ##9 | 29% [A[A[A[A
pillow-10.0.0 | 44.6 MB | #9 | 19%
scipy-1.13.1 | 16.5 MB | ##### | 50% [A[A
statsmodels-0.14.4 | 11.7 MB | ###5 | 36% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##8 | 28% [A
scikit-learn-1.5.2 | 9.9 MB | ##9 | 29% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ##8 | 28% [A
statsmodels-0.14.4 | 11.7 MB | ###6 | 36% [A[A[A
scipy-1.13.1 | 16.5 MB | ##### | 51% [A[A
pillow-10.0.0 | 44.6 MB | #9 | 19%
scipy-1.13.1 | 16.5 MB | #####1 | 51% [A[A
scipy-1.13.1 | 16.5 MB | #####1 | 51% [A[A
statsmodels-0.14.4 | 11.7 MB | ###7 | 37% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##8 | 29% [A
pillow-10.0.0 | 44.6 MB | #9 | 19%
statsmodels-0.14.4 | 11.7 MB | ###7 | 38% [A[A[A
pillow-10.0.0 | 44.6 MB | #9 | 19%
libllvm14-14.0.6 | 29.6 MB | ##9 | 29% [A
scikit-learn-1.5.2 | 9.9 MB | ##9 | 30% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ###8 | 38% [A[A[A
pillow-10.0.0 | 44.6 MB | #9 | 20%
libllvm14-14.0.6 | 29.6 MB | ##9 | 29% [A
pillow-10.0.0 | 44.6 MB | #9 | 20%
statsmodels-0.14.4 | 11.7 MB | #### | 41% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ### | 30% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ## | 20%
libllvm14-14.0.6 | 29.6 MB | ##9 | 29% [A
scikit-learn-1.5.2 | 9.9 MB | ###1 | 32% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #####1 | 52% [A[A
scipy-1.13.1 | 16.5 MB | #####1 | 52% [A[A
statsmodels-0.14.4 | 11.7 MB | ####3 | 43% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ##9 | 30% [A
scipy-1.13.1 | 16.5 MB | #####2 | 52% [A[A
pillow-10.0.0 | 44.6 MB | ## | 21%
scikit-learn-1.5.2 | 9.9 MB | ###2 | 33% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ###3 | 33% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####5 | 46% [A[A[A
scipy-1.13.1 | 16.5 MB | #####2 | 53% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###4 | 34% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####6 | 46% [A[A[A
statsmodels-0.14.4 | 11.7 MB | ####7 | 48% [A[A[A
scipy-1.13.1 | 16.5 MB | #####3 | 54% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###4 | 35% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #####3 | 54% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###5 | 35% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####8 | 49% [A[A[A
scipy-1.13.1 | 16.5 MB | #####4 | 55% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###6 | 37% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####9 | 49% [A[A[A
scipy-1.13.1 | 16.5 MB | #####5 | 55% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###7 | 37% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####9 | 50% [A[A[A
pillow-10.0.0 | 44.6 MB | ## | 21%
scipy-1.13.1 | 16.5 MB | #####5 | 55% [A[A
libllvm14-14.0.6 | 29.6 MB | ##9 | 30% [A
libllvm14-14.0.6 | 29.6 MB | ### | 30% [A
libllvm14-14.0.6 | 29.6 MB | ### | 31% [A
libllvm14-14.0.6 | 29.6 MB | ###1 | 31% [A
scipy-1.13.1 | 16.5 MB | #####6 | 56% [A[A
pillow-10.0.0 | 44.6 MB | ##1 | 22%
pillow-10.0.0 | 44.6 MB | ##2 | 22%
libllvm14-14.0.6 | 29.6 MB | ###1 | 31% [A
pillow-10.0.0 | 44.6 MB | ##2 | 23%
scipy-1.13.1 | 16.5 MB | #####7 | 57% [A[A
scikit-learn-1.5.2 | 9.9 MB | ###9 | 39% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###1 | 32% [A
pillow-10.0.0 | 44.6 MB | ##2 | 23%
libllvm14-14.0.6 | 29.6 MB | ###1 | 32% [A
scikit-learn-1.5.2 | 9.9 MB | ###9 | 40% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##2 | 23%
pillow-10.0.0 | 44.6 MB | ##3 | 23%
scikit-learn-1.5.2 | 9.9 MB | #### | 40% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###3 | 33% [A
scikit-learn-1.5.2 | 9.9 MB | #### | 41% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##3 | 24%
scikit-learn-1.5.2 | 9.9 MB | ####1 | 41% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###4 | 35% [A
pillow-10.0.0 | 44.6 MB | ##4 | 24%
scipy-1.13.1 | 16.5 MB | #####8 | 59% [A[A
pillow-10.0.0 | 44.6 MB | ##5 | 25%
libllvm14-14.0.6 | 29.6 MB | ###5 | 35% [A
scipy-1.13.1 | 16.5 MB | #####9 | 59% [A[A
statsmodels-0.14.4 | 11.7 MB | ##### | 51% [A[A[A
scipy-1.13.1 | 16.5 MB | #####9 | 60% [A[A
scipy-1.13.1 | 16.5 MB | ###### | 61% [A[A
scipy-1.13.1 | 16.5 MB | ###### | 61% [A[A
statsmodels-0.14.4 | 11.7 MB | ##### | 51% [A[A[A
scipy-1.13.1 | 16.5 MB | ######5 | 66% [A[A
libllvm14-14.0.6 | 29.6 MB | ###5 | 35% [A
libllvm14-14.0.6 | 29.6 MB | ###5 | 36% [A
statsmodels-0.14.4 | 11.7 MB | #####1 | 51% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ###5 | 36% [A
scipy-1.13.1 | 16.5 MB | ######7 | 67% [A[A
statsmodels-0.14.4 | 11.7 MB | #####1 | 52% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ###5 | 36% [A
libllvm14-14.0.6 | 29.6 MB | ###6 | 36% [A
scipy-1.13.1 | 16.5 MB | ####### | 71% [A[A
scikit-learn-1.5.2 | 9.9 MB | ####1 | 42% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #####2 | 52% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ###6 | 36% [A
scikit-learn-1.5.2 | 9.9 MB | ####2 | 42% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #####2 | 53% [A[A[A
statsmodels-0.14.4 | 11.7 MB | #####3 | 54% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ####2 | 43% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##5 | 26%
scikit-learn-1.5.2 | 9.9 MB | ####3 | 43% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##6 | 26%
scikit-learn-1.5.2 | 9.9 MB | ####3 | 44% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######1 | 72% [A[A
statsmodels-0.14.4 | 11.7 MB | #####4 | 54% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ###6 | 37% [A
statsmodels-0.14.4 | 11.7 MB | #####4 | 54% [A[A[A
scipy-1.13.1 | 16.5 MB | #######2 | 73% [A[A
pillow-10.0.0 | 44.6 MB | ##6 | 27%
libllvm14-14.0.6 | 29.6 MB | ###6 | 37% [A
scikit-learn-1.5.2 | 9.9 MB | ####4 | 44% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #####4 | 55% [A[A[A
scipy-1.13.1 | 16.5 MB | #######3 | 74% [A[A
pillow-10.0.0 | 44.6 MB | ##6 | 27%
scikit-learn-1.5.2 | 9.9 MB | ####5 | 46% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ####7 | 47% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #####5 | 56% [A[A[A
statsmodels-0.14.4 | 11.7 MB | #####6 | 56% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ####8 | 49% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #####7 | 57% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ####9 | 50% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #####1 | 52% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######4 | 74% [A[A
statsmodels-0.14.4 | 11.7 MB | #####9 | 59% [A[A[A
statsmodels-0.14.4 | 11.7 MB | #####9 | 60% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #####2 | 53% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######4 | 75% [A[A
libllvm14-14.0.6 | 29.6 MB | ###7 | 37% [A
statsmodels-0.14.4 | 11.7 MB | ###### | 60% [A[A[A
pillow-10.0.0 | 44.6 MB | ##7 | 27%
scikit-learn-1.5.2 | 9.9 MB | #####3 | 54% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ###### | 61% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ###7 | 38% [A
scikit-learn-1.5.2 | 9.9 MB | #####4 | 55% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######5 | 75% [A[A
statsmodels-0.14.4 | 11.7 MB | ######1 | 61% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #####5 | 55% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###7 | 38% [A
scikit-learn-1.5.2 | 9.9 MB | #####6 | 56% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #####6 | 57% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ######3 | 63% [A[A[A
scipy-1.13.1 | 16.5 MB | #######5 | 75% [A[A
libllvm14-14.0.6 | 29.6 MB | ###8 | 38% [A
scikit-learn-1.5.2 | 9.9 MB | #####7 | 58% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #####8 | 58% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ######3 | 64% [A[A[A
pillow-10.0.0 | 44.6 MB | ##7 | 27%
libllvm14-14.0.6 | 29.6 MB | ###8 | 38% [A
scikit-learn-1.5.2 | 9.9 MB | #####9 | 59% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##7 | 27%
statsmodels-0.14.4 | 11.7 MB | ######4 | 64% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ###### | 60% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###8 | 39% [A
scipy-1.13.1 | 16.5 MB | #######5 | 76% [A[A
libllvm14-14.0.6 | 29.6 MB | ###9 | 39% [A
scikit-learn-1.5.2 | 9.9 MB | ###### | 61% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######1 | 62% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######5 | 76% [A[A
scikit-learn-1.5.2 | 9.9 MB | ######2 | 63% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###9 | 39% [A
statsmodels-0.14.4 | 11.7 MB | ######5 | 65% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######3 | 64% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######4 | 65% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ###9 | 40% [A
pillow-10.0.0 | 44.6 MB | ##7 | 27%
statsmodels-0.14.4 | 11.7 MB | ######6 | 67% [A[A[A
pillow-10.0.0 | 44.6 MB | ##7 | 28%
libllvm14-14.0.6 | 29.6 MB | #### | 40% [A
scipy-1.13.1 | 16.5 MB | #######6 | 76% [A[A
scikit-learn-1.5.2 | 9.9 MB | ######5 | 66% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ######8 | 68% [A[A[A
pillow-10.0.0 | 44.6 MB | ##7 | 28%
statsmodels-0.14.4 | 11.7 MB | ######9 | 70% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######6 | 67% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ####### | 70% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######7 | 67% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######6 | 76% [A[A
pillow-10.0.0 | 44.6 MB | ##7 | 28%
libllvm14-14.0.6 | 29.6 MB | #### | 41% [A
scikit-learn-1.5.2 | 9.9 MB | ######8 | 68% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######6 | 76% [A[A
libllvm14-14.0.6 | 29.6 MB | #### | 41% [A
scipy-1.13.1 | 16.5 MB | #######6 | 76% [A[A
pillow-10.0.0 | 44.6 MB | ##7 | 28%
statsmodels-0.14.4 | 11.7 MB | ####### | 71% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######8 | 69% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #######6 | 77% [A[A
pillow-10.0.0 | 44.6 MB | ##8 | 28%
libllvm14-14.0.6 | 29.6 MB | ####1 | 42% [A
scipy-1.13.1 | 16.5 MB | #######6 | 77% [A[A
statsmodels-0.14.4 | 11.7 MB | #######1 | 71% [A[A[A
scipy-1.13.1 | 16.5 MB | #######7 | 77% [A[A
libllvm14-14.0.6 | 29.6 MB | ####1 | 42% [A
pillow-10.0.0 | 44.6 MB | ##8 | 28%
statsmodels-0.14.4 | 11.7 MB | #######1 | 72% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ####2 | 42% [A
pillow-10.0.0 | 44.6 MB | ##8 | 29%
statsmodels-0.14.4 | 11.7 MB | #######3 | 73% [A[A[A
scipy-1.13.1 | 16.5 MB | #######7 | 77% [A[A
scikit-learn-1.5.2 | 9.9 MB | ######9 | 69% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ####2 | 43% [A
libllvm14-14.0.6 | 29.6 MB | ####3 | 43% [A
scipy-1.13.1 | 16.5 MB | #######7 | 77% [A[A
scipy-1.13.1 | 16.5 MB | #######7 | 78% [A[A
libllvm14-14.0.6 | 29.6 MB | ####3 | 44% [A
scikit-learn-1.5.2 | 9.9 MB | ####### | 70% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##8 | 29%
statsmodels-0.14.4 | 11.7 MB | #######3 | 74% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #######1 | 71% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ##9 | 29%
libllvm14-14.0.6 | 29.6 MB | ####4 | 44% [A
scipy-1.13.1 | 16.5 MB | #######7 | 78% [A[A
libllvm14-14.0.6 | 29.6 MB | ####4 | 45% [A
statsmodels-0.14.4 | 11.7 MB | #######5 | 76% [A[A[A
pillow-10.0.0 | 44.6 MB | ##9 | 29%
scikit-learn-1.5.2 | 9.9 MB | #######1 | 72% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ####5 | 45% [A
scipy-1.13.1 | 16.5 MB | #######7 | 78% [A[A
statsmodels-0.14.4 | 11.7 MB | #######6 | 76% [A[A[A
scipy-1.13.1 | 16.5 MB | #######8 | 78% [A[A
pillow-10.0.0 | 44.6 MB | ##9 | 30%
scipy-1.13.1 | 16.5 MB | #######8 | 78% [A[A
statsmodels-0.14.4 | 11.7 MB | #######6 | 77% [A[A[A
pillow-10.0.0 | 44.6 MB | ##9 | 30%
statsmodels-0.14.4 | 11.7 MB | #######7 | 78% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ####5 | 46% [A
scipy-1.13.1 | 16.5 MB | #######8 | 79% [A[A
pillow-10.0.0 | 44.6 MB | ##9 | 30%
statsmodels-0.14.4 | 11.7 MB | #######9 | 80% [A[A[A
libllvm14-14.0.6 | 29.6 MB | ####5 | 46% [A
scipy-1.13.1 | 16.5 MB | #######9 | 79% [A[A
scipy-1.13.1 | 16.5 MB | #######9 | 79% [A[A
libllvm14-14.0.6 | 29.6 MB | ####6 | 46% [A
statsmodels-0.14.4 | 11.7 MB | ######## | 80% [A[A[A
scipy-1.13.1 | 16.5 MB | #######9 | 80% [A[A
pillow-10.0.0 | 44.6 MB | ### | 30%
libllvm14-14.0.6 | 29.6 MB | ####6 | 47% [A
statsmodels-0.14.4 | 11.7 MB | ########1 | 81% [A[A[A
scipy-1.13.1 | 16.5 MB | #######9 | 80% [A[A
scikit-learn-1.5.2 | 9.9 MB | #######2 | 72% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ### | 31%
libllvm14-14.0.6 | 29.6 MB | ####7 | 47% [A
statsmodels-0.14.4 | 11.7 MB | ########1 | 82% [A[A[A
scipy-1.13.1 | 16.5 MB | #######9 | 80% [A[A
libllvm14-14.0.6 | 29.6 MB | ####8 | 48% [A
libllvm14-14.0.6 | 29.6 MB | ####8 | 49% [A
libllvm14-14.0.6 | 29.6 MB | ####8 | 49% [A
pillow-10.0.0 | 44.6 MB | ### | 31%
scipy-1.13.1 | 16.5 MB | ######## | 80% [A[A
libllvm14-14.0.6 | 29.6 MB | ####9 | 50% [A
scikit-learn-1.5.2 | 9.9 MB | #######2 | 73% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ########2 | 82% [A[A[A
scipy-1.13.1 | 16.5 MB | ######## | 80% [A[A
scipy-1.13.1 | 16.5 MB | ######## | 81% [A[A
libllvm14-14.0.6 | 29.6 MB | ##### | 50% [A
scikit-learn-1.5.2 | 9.9 MB | #######3 | 73% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ########1 | 81% [A[A
libllvm14-14.0.6 | 29.6 MB | ##### | 51% [A
scikit-learn-1.5.2 | 9.9 MB | #######3 | 74% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ########2 | 82% [A[A
statsmodels-0.14.4 | 11.7 MB | ########2 | 83% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | #######4 | 75% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ########2 | 83% [A[A
statsmodels-0.14.4 | 11.7 MB | ########3 | 83% [A[A[A
libllvm14-14.0.6 | 29.6 MB | #####1 | 51% [A
libllvm14-14.0.6 | 29.6 MB | #####1 | 52% [A
libllvm14-14.0.6 | 29.6 MB | #####1 | 52% [A
scikit-learn-1.5.2 | 9.9 MB | #######6 | 76% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | ########3 | 84% [A[A[A
scipy-1.13.1 | 16.5 MB | ########3 | 83% [A[A
scikit-learn-1.5.2 | 9.9 MB | #######8 | 79% [A[A[A[A
scipy-1.13.1 | 16.5 MB | ########3 | 84% [A[A
scipy-1.13.1 | 16.5 MB | ########3 | 84% [A[A
statsmodels-0.14.4 | 11.7 MB | ########7 | 87% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######## | 80% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #####2 | 52% [A
statsmodels-0.14.4 | 11.7 MB | ########8 | 88% [A[A[A
scipy-1.13.1 | 16.5 MB | ########6 | 86% [A[A
statsmodels-0.14.4 | 11.7 MB | ########9 | 89% [A[A[A
statsmodels-0.14.4 | 11.7 MB | #########1 | 91% [A[A[A
scipy-1.13.1 | 16.5 MB | ########6 | 87% [A[A
scipy-1.13.1 | 16.5 MB | ########7 | 88% [A[A
libllvm14-14.0.6 | 29.6 MB | #####2 | 52% [A
statsmodels-0.14.4 | 11.7 MB | #########2 | 92% [A[A[A
scipy-1.13.1 | 16.5 MB | ########8 | 89% [A[A
statsmodels-0.14.4 | 11.7 MB | #########3 | 93% [A[A[A
scipy-1.13.1 | 16.5 MB | ######### | 90% [A[A
statsmodels-0.14.4 | 11.7 MB | #########4 | 94% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########1 | 81% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########2 | 92% [A[A
statsmodels-0.14.4 | 11.7 MB | #########5 | 95% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########1 | 82% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########3 | 93% [A[A
scikit-learn-1.5.2 | 9.9 MB | ########1 | 82% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########2 | 82% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########4 | 94% [A[A
scikit-learn-1.5.2 | 9.9 MB | ########2 | 83% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########5 | 96% [A[A
scikit-learn-1.5.2 | 9.9 MB | ########3 | 83% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #########5 | 96% [A[A[A
scipy-1.13.1 | 16.5 MB | #########7 | 97% [A[A
scikit-learn-1.5.2 | 9.9 MB | ########3 | 84% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########7 | 98% [A[A
statsmodels-0.14.4 | 11.7 MB | #########6 | 97% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########4 | 85% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########4 | 85% [A[A[A[A
scipy-1.13.1 | 16.5 MB | #########8 | 99% [A[A
libllvm14-14.0.6 | 29.6 MB | #####2 | 53% [A
statsmodels-0.14.4 | 11.7 MB | #########8 | 99% [A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########5 | 85% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########6 | 86% [A[A[A[A
statsmodels-0.14.4 | 11.7 MB | #########9 | 99% [A[A[A
libllvm14-14.0.6 | 29.6 MB | #####2 | 53% [A
scipy-1.13.1 | 16.5 MB | #########9 | 99% [A[A
scipy-1.13.1 | 16.5 MB | #########9 | 100% [A[A
scipy-1.13.1 | 16.5 MB | ########## | 100% [A[A
libllvm14-14.0.6 | 29.6 MB | #####3 | 53% [A
pillow-10.0.0 | 44.6 MB | ###1 | 31%
scikit-learn-1.5.2 | 9.9 MB | ########7 | 87% [A[A[A[A
pillow-10.0.0 | 44.6 MB | ###1 | 32%
scikit-learn-1.5.2 | 9.9 MB | ########7 | 88% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########8 | 89% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ######### | 91% [A[A[A[A
matplotlib-base-3.9. | 7.5 MB | | 0% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | | 1% [A[A[A[A[A
scipy-1.13.1 | 16.5 MB | ########## | 100% [A[A
scikit-learn-1.5.2 | 9.9 MB | #########2 | 92% [A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 1 | 1% [A[A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #########3 | 93% [A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 1 | 2% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 2 | 2% [A[A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | #########6 | 96% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########## | 100% [A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 2 | 3% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 3 | 4% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #####3 | 54% [A
numba-0.60.0 | 5.5 MB | | 0% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #####5 | 55% [A
libllvm14-14.0.6 | 29.6 MB | #####5 | 56% [A
libllvm14-14.0.6 | 29.6 MB | #####6 | 56% [A
scikit-learn-1.5.2 | 9.9 MB | ########## | 100% [A[A[A[A
scikit-learn-1.5.2 | 9.9 MB | ########## | 100% [A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #####7 | 57% [A
libllvm14-14.0.6 | 29.6 MB | #####7 | 58% [A
libllvm14-14.0.6 | 29.6 MB | #####8 | 59% [A
libllvm14-14.0.6 | 29.6 MB | #####9 | 59% [A
libllvm14-14.0.6 | 29.6 MB | ###### | 60% [A
matplotlib-base-3.9. | 7.5 MB | 4 | 5% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | 2 | 3% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######2 | 62% [A
numba-0.60.0 | 5.5 MB | 5 | 6% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######2 | 63% [A
numba-0.60.0 | 5.5 MB | 9 | 9% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######3 | 64% [A
numba-0.60.0 | 5.5 MB | # | 10% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######4 | 64% [A
matplotlib-base-3.9. | 7.5 MB | 4 | 5% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 5 | 5% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #7 | 18% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######5 | 65% [A
numba-0.60.0 | 5.5 MB | #9 | 19% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 5 | 6% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ##3 | 24% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ##6 | 26% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ##8 | 28% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######5 | 66% [A
numba-0.60.0 | 5.5 MB | ###2 | 32% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######6 | 67% [A
numba-0.60.0 | 5.5 MB | ###7 | 38% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ###9 | 39% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###1 | 32%
matplotlib-base-3.9. | 7.5 MB | 6 | 6% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######7 | 68% [A
numba-0.60.0 | 5.5 MB | ####1 | 41% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ####2 | 43% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######9 | 69% [A
matplotlib-base-3.9. | 7.5 MB | 6 | 6% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######9 | 70% [A
libllvm14-14.0.6 | 29.6 MB | ####### | 71% [A
numba-0.60.0 | 5.5 MB | ####3 | 44% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 6 | 7% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######1 | 72% [A
numba-0.60.0 | 5.5 MB | ####4 | 45% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 6 | 7% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######2 | 72% [A
libllvm14-14.0.6 | 29.6 MB | #######3 | 74% [A
libllvm14-14.0.6 | 29.6 MB | #######4 | 74% [A
matplotlib-base-3.9. | 7.5 MB | 7 | 7% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###2 | 32%
libllvm14-14.0.6 | 29.6 MB | #######5 | 76% [A
numba-0.60.0 | 5.5 MB | ####5 | 45% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###2 | 32%
numba-0.60.0 | 5.5 MB | ####5 | 46% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######6 | 76% [A
numba-0.60.0 | 5.5 MB | ####6 | 46% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 7 | 7% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###2 | 32%
numba-0.60.0 | 5.5 MB | ####7 | 47% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###2 | 33%
matplotlib-base-3.9. | 7.5 MB | 7 | 7% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###3 | 33%
libllvm14-14.0.6 | 29.6 MB | #######6 | 76% [A
pillow-10.0.0 | 44.6 MB | ###3 | 34%
numba-0.60.0 | 5.5 MB | ####7 | 48% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ####9 | 49% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######6 | 77% [A
numba-0.60.0 | 5.5 MB | #####1 | 52% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######6 | 77% [A
pillow-10.0.0 | 44.6 MB | ###4 | 34%
pillow-10.0.0 | 44.6 MB | ###4 | 35%
libllvm14-14.0.6 | 29.6 MB | #######7 | 77% [A
numba-0.60.0 | 5.5 MB | #####3 | 53% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 7 | 8% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###5 | 35%
libllvm14-14.0.6 | 29.6 MB | #######7 | 78% [A
libllvm14-14.0.6 | 29.6 MB | #######7 | 78% [A
matplotlib-base-3.9. | 7.5 MB | 7 | 8% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###5 | 36%
libllvm14-14.0.6 | 29.6 MB | #######7 | 78% [A
numba-0.60.0 | 5.5 MB | #####4 | 54% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######8 | 78% [A
matplotlib-base-3.9. | 7.5 MB | 8 | 8% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######8 | 78% [A
numba-0.60.0 | 5.5 MB | #####5 | 55% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######8 | 79% [A
pillow-10.0.0 | 44.6 MB | ###5 | 36%
libllvm14-14.0.6 | 29.6 MB | #######8 | 79% [A
pillow-10.0.0 | 44.6 MB | ###6 | 36%
numba-0.60.0 | 5.5 MB | #####6 | 56% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 8 | 8% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######9 | 79% [A
numba-0.60.0 | 5.5 MB | #####8 | 59% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###6 | 37%
matplotlib-base-3.9. | 7.5 MB | 8 | 9% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###7 | 37%
numba-0.60.0 | 5.5 MB | ###### | 61% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #######9 | 79% [A
pillow-10.0.0 | 44.6 MB | ###7 | 37%
libllvm14-14.0.6 | 29.6 MB | #######9 | 80% [A
matplotlib-base-3.9. | 7.5 MB | 8 | 9% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ######3 | 63% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###7 | 38%
libllvm14-14.0.6 | 29.6 MB | #######9 | 80% [A
numba-0.60.0 | 5.5 MB | ######5 | 65% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######## | 81% [A
matplotlib-base-3.9. | 7.5 MB | 8 | 9% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###7 | 38%
numba-0.60.0 | 5.5 MB | ######6 | 66% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###8 | 38%
libllvm14-14.0.6 | 29.6 MB | ######## | 81% [A
numba-0.60.0 | 5.5 MB | ######7 | 67% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ######## | 81% [A
matplotlib-base-3.9. | 7.5 MB | 9 | 9% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ######7 | 68% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########1 | 81% [A
numba-0.60.0 | 5.5 MB | ######9 | 69% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | 9 | 9% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########1 | 81% [A
matplotlib-base-3.9. | 7.5 MB | 9 | 10% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########1 | 82% [A
numba-0.60.0 | 5.5 MB | ######9 | 70% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###8 | 39%
matplotlib-base-3.9. | 7.5 MB | 9 | 10% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######1 | 71% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########3 | 84% [A
libllvm14-14.0.6 | 29.6 MB | ########4 | 84% [A
libllvm14-14.0.6 | 29.6 MB | ########4 | 85% [A
libllvm14-14.0.6 | 29.6 MB | ########5 | 86% [A
libllvm14-14.0.6 | 29.6 MB | ########6 | 87% [A
libllvm14-14.0.6 | 29.6 MB | ########7 | 87% [A
libllvm14-14.0.6 | 29.6 MB | ########8 | 89% [A
matplotlib-base-3.9. | 7.5 MB | # | 10% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######1 | 72% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###8 | 39%
matplotlib-base-3.9. | 7.5 MB | #1 | 11% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########9 | 89% [A
pillow-10.0.0 | 44.6 MB | ###9 | 40%
numba-0.60.0 | 5.5 MB | #######2 | 72% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #1 | 11% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #1 | 12% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###9 | 40%
matplotlib-base-3.9. | 7.5 MB | #2 | 12% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###9 | 40%
libllvm14-14.0.6 | 29.6 MB | ######### | 90% [A
pillow-10.0.0 | 44.6 MB | #### | 40%
libllvm14-14.0.6 | 29.6 MB | #########1 | 91% [A
pillow-10.0.0 | 44.6 MB | #### | 41%
pillow-10.0.0 | 44.6 MB | ####1 | 41%
pillow-10.0.0 | 44.6 MB | ####1 | 42%
libllvm14-14.0.6 | 29.6 MB | #########1 | 92% [A
libllvm14-14.0.6 | 29.6 MB | #########2 | 92% [A
pillow-10.0.0 | 44.6 MB | ####1 | 42%
pillow-10.0.0 | 44.6 MB | ####2 | 42%
pillow-10.0.0 | 44.6 MB | ####2 | 43%
libllvm14-14.0.6 | 29.6 MB | #########2 | 93% [A
pillow-10.0.0 | 44.6 MB | ####2 | 43%
libllvm14-14.0.6 | 29.6 MB | #########2 | 93% [A
numba-0.60.0 | 5.5 MB | #######2 | 73% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####3 | 43%
matplotlib-base-3.9. | 7.5 MB | #2 | 13% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########3 | 94% [A
matplotlib-base-3.9. | 7.5 MB | #3 | 14% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######3 | 74% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #4 | 15% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####3 | 44%
numba-0.60.0 | 5.5 MB | #######4 | 74% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #5 | 15% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####3 | 44%
numba-0.60.0 | 5.5 MB | #######4 | 75% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########4 | 94% [A
pillow-10.0.0 | 44.6 MB | ####4 | 44%
libllvm14-14.0.6 | 29.6 MB | #########4 | 95% [A
numba-0.60.0 | 5.5 MB | #######5 | 76% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####4 | 44%
pillow-10.0.0 | 44.6 MB | ####4 | 44%
libllvm14-14.0.6 | 29.6 MB | #########5 | 95% [A
numba-0.60.0 | 5.5 MB | #######6 | 76% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######6 | 77% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #5 | 16% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #8 | 18% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #9 | 19% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ##1 | 21% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ##2 | 22% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ##4 | 24% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####5 | 45%
libllvm14-14.0.6 | 29.6 MB | #########6 | 96% [A
matplotlib-base-3.9. | 7.5 MB | ##5 | 26% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######6 | 77% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####5 | 46%
libllvm14-14.0.6 | 29.6 MB | #########6 | 97% [A
numba-0.60.0 | 5.5 MB | #######7 | 77% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ##7 | 27% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####5 | 46%
libllvm14-14.0.6 | 29.6 MB | #########6 | 97% [A
matplotlib-base-3.9. | 7.5 MB | ##8 | 28% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######7 | 77% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########6 | 97% [A
pillow-10.0.0 | 44.6 MB | ####6 | 46%
numba-0.60.0 | 5.5 MB | #######8 | 78% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ##9 | 30% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #######9 | 80% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ### | 30% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####6 | 47%
matplotlib-base-3.9. | 7.5 MB | ###1 | 31% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########7 | 97% [A
numba-0.60.0 | 5.5 MB | ######## | 80% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####6 | 47%
libllvm14-14.0.6 | 29.6 MB | #########7 | 98% [A
matplotlib-base-3.9. | 7.5 MB | ###2 | 32% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ######## | 81% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########1 | 82% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ###2 | 33% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########2 | 82% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ###4 | 35% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####7 | 47%
matplotlib-base-3.9. | 7.5 MB | ###5 | 36% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########2 | 83% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########7 | 98% [A
numba-0.60.0 | 5.5 MB | ########4 | 85% [A[A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########9 | 99% [A
matplotlib-base-3.9. | 7.5 MB | ###6 | 37% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | #########9 | 100% [A
libllvm14-14.0.6 | 29.6 MB | #########9 | 100% [A
matplotlib-base-3.9. | 7.5 MB | ###7 | 38% [A[A[A[A[A
libllvm14-14.0.6 | 29.6 MB | ########## | 100% [A
pillow-10.0.0 | 44.6 MB | ####7 | 48%
matplotlib-base-3.9. | 7.5 MB | ###8 | 38% [A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ###9 | 40% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####8 | 48%
matplotlib-base-3.9. | 7.5 MB | ####1 | 42% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | | 0% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########9 | 90% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####8 | 48%
pillow-10.0.0 | 44.6 MB | ####8 | 49%
libllvm14-14.0.6 | 29.6 MB | ########## | 100% [A
libopenblas-0.3.27 | 4.1 MB | 1 | 1% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ######### | 91% [A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | 6 | 7% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | # | 11% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########1 | 92% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ####2 | 43% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####8 | 49%
matplotlib-base-3.9. | 7.5 MB | ####3 | 44% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########2 | 92% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ####4 | 44% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####8 | 49%
libopenblas-0.3.27 | 4.1 MB | #3 | 13% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########2 | 93% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 49%
libopenblas-0.3.27 | 4.1 MB | #5 | 15% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ####5 | 45% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########3 | 93% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 49%
matplotlib-base-3.9. | 7.5 MB | ####5 | 46% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 49%
libopenblas-0.3.27 | 4.1 MB | #7 | 17% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 49%
matplotlib-base-3.9. | 7.5 MB | ####9 | 49% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########4 | 94% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 50%
libopenblas-0.3.27 | 4.1 MB | #8 | 19% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 50%
numba-0.60.0 | 5.5 MB | #########4 | 95% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####9 | 50%
matplotlib-base-3.9. | 7.5 MB | ##### | 51% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########5 | 95% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #####2 | 52% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ## | 21% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | #########5 | 96% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 50%
matplotlib-base-3.9. | 7.5 MB | #####3 | 54% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##1 | 22% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #####5 | 55% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##2 | 23% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 50%
libopenblas-0.3.27 | 4.1 MB | ##4 | 24% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 50%
numba-0.60.0 | 5.5 MB | #########6 | 96% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #####6 | 56% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##5 | 25% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 50%
pillow-10.0.0 | 44.6 MB | ##### | 51%
numba-0.60.0 | 5.5 MB | #########8 | 98% [A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 51%
matplotlib-base-3.9. | 7.5 MB | #####8 | 58% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##6 | 26% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ##### | 51%
matplotlib-base-3.9. | 7.5 MB | #####9 | 59% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##7 | 27% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 51%
matplotlib-base-3.9. | 7.5 MB | ###### | 61% [A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########## | 100% [A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########## | 100% [A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ######7 | 68% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 51%
libopenblas-0.3.27 | 4.1 MB | ##7 | 28% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##9 | 29% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ####### | 71% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | | 0% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 51%
matplotlib-base-3.9. | 7.5 MB | #######3 | 73% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 51%
hdf5-1.14.3 | 3.8 MB | 5 | 5% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ##9 | 30% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #######5 | 75% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 52%
libopenblas-0.3.27 | 4.1 MB | ### | 31% [A[A[A[A[A[A[A
numba-0.60.0 | 5.5 MB | ########## | 100% [A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | 7 | 7% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 52%
hdf5-1.14.3 | 3.8 MB | 8 | 9% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #######6 | 77% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | # | 10% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ###1 | 31% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####1 | 52%
hdf5-1.14.3 | 3.8 MB | #1 | 12% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 52%
libopenblas-0.3.27 | 4.1 MB | ###2 | 32% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #######8 | 78% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #3 | 13% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ###3 | 33% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #4 | 14% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ######## | 80% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ###6 | 36% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 52%
hdf5-1.14.3 | 3.8 MB | #8 | 18% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ###7 | 37% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ###9 | 39% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ## | 21% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #### | 40% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########1 | 81% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ####4 | 44% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ##6 | 27% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########3 | 83% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ####6 | 46% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########4 | 85% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ###5 | 36% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ####7 | 48% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########5 | 85% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ###9 | 40% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########6 | 86% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 52%
libopenblas-0.3.27 | 4.1 MB | ####9 | 49% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ####1 | 42% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########6 | 87% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 52%
pillow-10.0.0 | 44.6 MB | #####2 | 52%
libopenblas-0.3.27 | 4.1 MB | ##### | 51% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########7 | 87% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
hdf5-1.14.3 | 3.8 MB | ####3 | 44% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #####1 | 52% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########9 | 89% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
libopenblas-0.3.27 | 4.1 MB | #####3 | 53% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
matplotlib-base-3.9. | 7.5 MB | ######### | 90% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #####4 | 54% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########1 | 91% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #####4 | 55% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
hdf5-1.14.3 | 3.8 MB | ####4 | 45% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
libopenblas-0.3.27 | 4.1 MB | #####6 | 56% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########2 | 92% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ####6 | 46% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########3 | 94% [A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####2 | 53%
hdf5-1.14.3 | 3.8 MB | ####8 | 48% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####3 | 53%
hdf5-1.14.3 | 3.8 MB | ##### | 50% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #####7 | 58% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########5 | 95% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ######1 | 61% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #####1 | 51% [A[A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########6 | 96% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ######2 | 63% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | #########8 | 98% [A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #####2 | 53% [A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ######6 | 66% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ######9 | 69% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####3 | 53%
matplotlib-base-3.9. | 7.5 MB | #########9 | 100% [A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | #######1 | 71% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####3 | 53%
hdf5-1.14.3 | 3.8 MB | #####3 | 54% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####3 | 53%
libopenblas-0.3.27 | 4.1 MB | #######8 | 78% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #####7 | 58% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####4 | 54%
pillow-10.0.0 | 44.6 MB | #####4 | 54%
libopenblas-0.3.27 | 4.1 MB | ########5 | 86% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ########7 | 88% [A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####4 | 55%
libopenblas-0.3.27 | 4.1 MB | #########3 | 93% [A[A[A[A[A[A[A
matplotlib-base-3.9. | 7.5 MB | ########## | 100% [A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | | 0% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####4 | 55%
libopenblas-0.3.27 | 4.1 MB | #########5 | 95% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ########## | 100% [A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | 1 | 2% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ########## | 100% [A[A[A[A[A[A[A
libopenblas-0.3.27 | 4.1 MB | ########## | 100% [A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #####9 | 60% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####4 | 55%
matplotlib-base-3.9. | 7.5 MB | ########## | 100% [A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | 4 | 5% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | 7 | 7% [A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####4 | 55%
hdf5-1.14.3 | 3.8 MB | ######1 | 61% [A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | 9 | 9% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | 9 | 10% [A[A[A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ######2 | 62% [A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ######8 | 68% [A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #######4 | 74% [A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #######8 | 78% [A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####5 | 55%
libstdcxx-14.1.0 | 3.6 MB | # | 10% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | #9 | 20% [A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####5 | 55%
hdf5-1.14.3 | 3.8 MB | ########4 | 85% [A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | #1 | 12% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ##6 | 27% [A[A[A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ########7 | 87% [A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | #5 | 15% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####5 | 55%
libstdcxx-14.1.0 | 3.6 MB | #8 | 18% [A[A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | #########7 | 98% [A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ###8 | 39% [A[A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ####6 | 47% [A[A[A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ########## | 100% [A[A[A[A[A[A[A[A
hdf5-1.14.3 | 3.8 MB | ########## | 100% [A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ##### | 51% [A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####5 | 56%
hdf5-1.14.3 | 3.8 MB | ########## | 100% [A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ## | 20% [A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | | 0% [A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ##4 | 25% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | #####2 | 53% [A[A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ######6 | 67% [A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ##6 | 27% [A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ##8 | 29% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####7 | 58%
libstdcxx-14.1.0 | 3.6 MB | ### | 31% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####8 | 58%
openssl-3.3.2 | 3.3 MB | 5 | 6% [A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ###6 | 36% [A[A[A[A[A[A[A[A[A
llvmlite-0.43.0 | 3.3 MB | ######8 | 69% [A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | 6 | 6% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | 8 | 8% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ##7 | 27% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ###6 | 36% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ####2 | 42% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | #####3 | 54% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ###### | 61% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ######9 | 69% [A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ###8 | 39% [A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | ########5 | 86% [A[A[A[A[A[A[A[A[A[A[A
openssl-3.3.2 | 3.3 MB | #########5 | 95% [A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####8 | 58%
openssl-3.3.2 | 3.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####8 | 59%
libstdcxx-14.1.0 | 3.6 MB | #### | 40% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####8 | 59%
openssl-3.3.2 | 3.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ####2 | 42% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####9 | 59%
libstdcxx-14.1.0 | 3.6 MB | ####4 | 44% [A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ####7 | 47% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####9 | 59%
fonttools-4.54.1 | 2.7 MB | | 1% [A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #####9 | 60%
fonttools-4.54.1 | 2.7 MB | #4 | 15% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ##6 | 27% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ###5 | 36% [A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###### | 60%
libstdcxx-14.1.0 | 3.6 MB | ####9 | 49% [A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | #####3 | 54% [A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###### | 61%
libstdcxx-14.1.0 | 3.6 MB | #####7 | 58% [A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ######1 | 61% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ###### | 61%
libstdcxx-14.1.0 | 3.6 MB | ######4 | 65% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######1 | 61%
libstdcxx-14.1.0 | 3.6 MB | ######7 | 68% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######1 | 61%
libstdcxx-14.1.0 | 3.6 MB | ####### | 71% [A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######1 | 62%
fonttools-4.54.1 | 2.7 MB | ######1 | 62% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ######6 | 67% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | #######6 | 76% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ######## | 80% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A
fonttools-4.54.1 | 2.7 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ######## | 80% [A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | | 1% [A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######1 | 62%
fonttools-4.54.1 | 2.7 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ########## | 100% [A[A[A[A[A[A[A[A[A
libstdcxx-14.1.0 | 3.6 MB | ########## | 100% [A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | ### | 30% [A[A[A[A[A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | | 1% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######2 | 62%
libstdcxx-14.1.0 | 3.6 MB | ########## | 100% [A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | ###8 | 39% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######2 | 63%
libhwloc-2.11.1 | 2.3 MB | #####8 | 59% [A[A[A[A[A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
scanpy-1.10.3 | 1.9 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | 1 | 1% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | #3 | 13% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ##1 | 21% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ##6 | 26% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | #########9 | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ##9 | 30% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######6 | 67%
pip-24.2 | 1.2 MB | 1 | 1% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ###3 | 33% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######7 | 68%
pillow-10.0.0 | 44.6 MB | ######8 | 68%
h5py-3.11.0 | 1.3 MB | ###6 | 37% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
libhwloc-2.11.1 | 2.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | #### | 40% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ####4 | 44% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | #######6 | 76% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######8 | 69%
h5py-3.11.0 | 1.3 MB | ######### | 90% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | 1 | 1% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
h5py-3.11.0 | 1.3 MB | ########## | 100% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | 6 | 7% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | #1 | 11% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ####### | 71%
networkx-3.3 | 1.1 MB | #3 | 14% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #######2 | 73%
pillow-10.0.0 | 44.6 MB | #######3 | 73%
pillow-10.0.0 | 44.6 MB | #######3 | 74%
pillow-10.0.0 | 44.6 MB | #######4 | 74%
pillow-10.0.0 | 44.6 MB | #######4 | 75%
pillow-10.0.0 | 44.6 MB | #######4 | 75%
networkx-3.3 | 1.1 MB | #6 | 17% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #######5 | 75%
networkx-3.3 | 1.1 MB | #7 | 18% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | #9 | 19% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
networkx-3.3 | 1.1 MB | ## | 21% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #######5 | 76%
pillow-10.0.0 | 44.6 MB | #######8 | 78%
pillow-10.0.0 | 44.6 MB | #######8 | 79%
pillow-10.0.0 | 44.6 MB | #######9 | 79%
networkx-3.3 | 1.1 MB | ##2 | 22% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | #######9 | 79%
networkx-3.3 | 1.1 MB | ##3 | 23% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######## | 80%
pip-24.2 | 1.2 MB | ####8 | 49% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ######## | 81%
pillow-10.0.0 | 44.6 MB | ########1 | 82%
networkx-3.3 | 1.1 MB | ##4 | 25% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########2 | 82%
networkx-3.3 | 1.1 MB | ##6 | 26% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########2 | 83%
pillow-10.0.0 | 44.6 MB | ########3 | 83%
networkx-3.3 | 1.1 MB | ##7 | 28% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########3 | 83%
networkx-3.3 | 1.1 MB | ##9 | 29% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########3 | 83%
pillow-10.0.0 | 44.6 MB | ########3 | 84%
networkx-3.3 | 1.1 MB | ### | 30% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########3 | 84%
pillow-10.0.0 | 44.6 MB | ########4 | 85%
networkx-3.3 | 1.1 MB | ###1 | 32% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########4 | 85%
pillow-10.0.0 | 44.6 MB | ########5 | 85%
pillow-10.0.0 | 44.6 MB | ########6 | 87%
networkx-3.3 | 1.1 MB | ###3 | 33% [A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
pillow-10.0.0 | 44.6 MB | ########8 | 88%
pillow-10.0.0 | 44.6 MB | ########9 | 89%
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A
[A[A
[A[A[A
[A[A[A[A
[A[A[A[A[A
[A[A[A[A[A[A
[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A
[A[A
[A[A[A
[A[A[A[A
[A[A[A[A[A
[A[A[A[A[A[A
[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A
[A[A
[A[A[A
[A[A[A[A
[A[A[A[A[A
[A[A[A[A[A[A
[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A
[A[A
[A[A[A
[A[A[A[A
[A[A[A[A[A
[A[A[A[A[A[A
[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A[A
[A
[A[A
[A[A[A
[A[A[A[A
[A[A[A[A[A
[A[A[A[A[A[A
[A[A[A[A[A[A[A
[A[A[A[A[A[A[A[A
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/conda-forge/linux-aarch64/statsmodels-0.14.4-py311h8b8d0ce_2.conda>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/conda-forge/linux-aarch64/statsmodels-0.14.4-py311h8b8d0ce_2.conda>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
done
Quitting from sketchR.Rmd:133-138 [unnamed-chunk-4]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! one or more Python packages failed to install [error code 1]
---
Backtrace:
▆
1. └─sketchR::geosketch(...)
2. └─basilisk::basiliskRun(...)
3. └─basilisk::basiliskStart(...)
4. └─basilisk::obtainEnvironmentPath(env)
5. └─basilisk::setupBasiliskEnv(...)
6. └─reticulate::conda_install(...)
7. └─reticulate:::stopf(fmt, result)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'sketchR.Rmd' failed with diagnostics:
one or more Python packages failed to install [error code 1]
--- failed re-building ‘sketchR.Rmd’
SUMMARY: processing the following file failed:
‘sketchR.Rmd’
Error: Vignette re-building failed.
Execution halted