Back to Multiple platform build/check report for BioC 3.21: simplified long |
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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% 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(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% 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| 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 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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 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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 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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