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### Running command:
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### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data OSTA
###
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* checking for file ‘OSTA/DESCRIPTION’ ... OK
* preparing ‘OSTA’:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘stub.Rmd’ using rmarkdown
--- finished re-building ‘stub.Rmd’
quarto render ../inst/
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- defaults
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# All requested packages already installed.
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Channels:
- conda-forge
- defaults
Platform: osx-64
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## Package Plan ##
environment location: /Users/biocbuild/Library/r-miniconda/envs/py-interop
added / updated specs:
- python=3.11
The following NEW packages will be INSTALLED:
bzip2 conda-forge/osx-64::bzip2-1.0.8-h500dc9f_8
ca-certificates conda-forge/noarch::ca-certificates-2025.11.12-hbd8a1cb_0
icu conda-forge/osx-64::icu-75.1-h120a0e1_0
libexpat conda-forge/osx-64::libexpat-2.7.3-heffb93a_0
libffi conda-forge/osx-64::libffi-3.5.2-h750e83c_0
liblzma conda-forge/osx-64::liblzma-5.8.1-hd471939_2
libsqlite conda-forge/osx-64::libsqlite-3.51.1-h6cc646a_0
libzlib conda-forge/osx-64::libzlib-1.3.1-hd23fc13_2
ncurses conda-forge/osx-64::ncurses-6.5-h0622a9a_3
openssl conda-forge/osx-64::openssl-3.6.0-h230baf5_0
pip conda-forge/noarch::pip-25.3-pyh8b19718_0
python conda-forge/osx-64::python-3.11.14-h74c2667_2_cpython
readline conda-forge/osx-64::readline-8.2-h7cca4af_2
setuptools conda-forge/noarch::setuptools-80.9.0-pyhff2d567_0
tk conda-forge/osx-64::tk-8.6.13-hf689a15_3
tzdata conda-forge/noarch::tzdata-2025b-h78e105d_0
wheel conda-forge/noarch::wheel-0.45.1-pyhd8ed1ab_1
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- conda-forge
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- defaults
Platform: osx-64
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Solving environment: ...working... done
## Package Plan ##
environment location: /Users/biocbuild/Library/r-miniconda/envs/py-interop
added / updated specs:
- libcxx
- llvm-openmp
- llvmlite
- numba
- proj[version='>=9.4']
- pyproj[version='>=3.7']
The following packages will be downloaded:
package | build
---------------------------|-----------------
libcurl-8.17.0 | h7dd4100_1 403 KB conda-forge
numba-0.63.1 | py311hfe9595b_0 5.6 MB conda-forge
------------------------------------------------------------
Total: 6.0 MB
The following NEW packages will be INSTALLED:
_openmp_mutex conda-forge/osx-64::_openmp_mutex-4.5-7_kmp_llvm
c-ares conda-forge/osx-64::c-ares-1.34.6-hb5e19a0_0
certifi conda-forge/noarch::certifi-2025.11.12-pyhd8ed1ab_0
krb5 conda-forge/osx-64::krb5-1.21.3-h37d8d59_0
lerc conda-forge/osx-64::lerc-4.0.0-hcca01a6_1
libblas conda-forge/osx-64::libblas-3.11.0-4_he492b99_openblas
libcblas conda-forge/osx-64::libcblas-3.11.0-4_h9b27e0a_openblas
libcurl conda-forge/osx-64::libcurl-8.17.0-h7dd4100_1
libcxx conda-forge/osx-64::libcxx-21.1.7-h3d58e20_0
libdeflate conda-forge/osx-64::libdeflate-1.25-h517ebb2_0
libedit conda-forge/osx-64::libedit-3.1.20250104-pl5321ha958ccf_0
libev conda-forge/osx-64::libev-4.33-h10d778d_2
libgcc conda-forge/osx-64::libgcc-15.2.0-h08519bb_15
libgfortran conda-forge/osx-64::libgfortran-15.2.0-h7e5c614_15
libgfortran5 conda-forge/osx-64::libgfortran5-15.2.0-hd16e46c_15
libjpeg-turbo conda-forge/osx-64::libjpeg-turbo-3.1.2-h8616949_0
liblapack conda-forge/osx-64::liblapack-3.11.0-4_h859234e_openblas
libnghttp2 conda-forge/osx-64::libnghttp2-1.67.0-h3338091_0
libopenblas conda-forge/osx-64::libopenblas-0.3.30-openmp_h6006d49_4
libssh2 conda-forge/osx-64::libssh2-1.11.1-hed3591d_0
libtiff conda-forge/osx-64::libtiff-4.7.1-ha0a348c_1
libwebp-base conda-forge/osx-64::libwebp-base-1.6.0-hb807250_0
llvm-openmp conda-forge/osx-64::llvm-openmp-21.1.7-h472b3d1_0
llvmlite conda-forge/osx-64::llvmlite-0.46.0-py311hb26b958_0
numba conda-forge/osx-64::numba-0.63.1-py311hfe9595b_0
numpy conda-forge/osx-64::numpy-2.3.5-py311hf157cb9_0
proj conda-forge/osx-64::proj-9.7.0-h3124640_0
pyproj conda-forge/osx-64::pyproj-3.7.2-py311h3825d2c_2
python_abi conda-forge/noarch::python_abi-3.11-8_cp311
sqlite conda-forge/osx-64::sqlite-3.51.1-h9e4bfbb_0
zstd conda-forge/osx-64::zstd-1.5.7-h3eecb57_6
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numba-0.63.1 | 5.6 MB | ########## | 100%
[A done
Preparing transaction: - \ | / - done
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+ . /Users/biocbuild/Library/r-miniconda/bin/activate
+ conda activate 'py-interop'
+ '/Users/biocbuild/Library/r-miniconda/envs/py-interop/bin/python' -m pip install --upgrade --no-user 'Dask==2024.12.1' 'zarr==2.18.7' 'squidpy==1.6.2'
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Installing collected packages: texttable, slicerator, pytz, multipledispatch, asciitree, zipp, wrapt, validators, urllib3, tzdata, typing-extensions, tqdm, toolz, tifffile, threadpoolctl, six, shapely, session-info2, scipy, pyyaml, pyparsing, pygments, pyarrow, propcache, platformdirs, pillow, patsy, param, packaging, networkx, natsort, multidict, more_itertools, mdurl, locket, legacy-api-wrap, kiwisolver, joblib, jmespath, igraph, idna, h5py, fsspec, frozenlist, fonttools, fasteners, cycler, contourpy, colorcet, cloudpickle, click, charset_normalizer, attrs, array-api-compat, aioitertools, aiohappyeyeballs, yarl, typeguard, scikit-learn, requests, python-dateutil, pyogrio, pyct, partd, markdown-it-py, leidenalg, lazy-loader, importlib_metadata, imageio, docrep, deprecated, aiosignal, scikit-image, rich, pynndescent, pooch, pims, pandas, numcodecs, matplotlib, inflect, Dask, botocore, aiohttp, zarr, xarray, umap-learn, statsmodels, seaborn, omnipath, matplotlib-scalebar, geopandas, dask-expr, aiobotocore, xarray-schema, xarray-datatree, xarray-dataclasses, s3fs, datashader, anndata, xarray-spatial, spatial-image, scanpy, dask-image, ome-zarr, multiscale-spatial-image, spatialdata, squidpy
Successfully installed Dask-2024.12.1 aiobotocore-2.5.4 aiohappyeyeballs-2.6.1 aiohttp-3.13.2 aioitertools-0.13.0 aiosignal-1.4.0 anndata-0.12.6 array-api-compat-1.12.0 asciitree-0.3.3 attrs-25.4.0 botocore-1.31.17 charset_normalizer-3.4.4 click-8.3.1 cloudpickle-3.1.2 colorcet-3.1.0 contourpy-1.3.3 cycler-0.12.1 dask-expr-1.1.21 dask-image-2025.11.0 datashader-0.18.2 deprecated-1.3.1 docrep-0.3.2 fasteners-0.20 fonttools-4.61.0 frozenlist-1.8.0 fsspec-2023.6.0 geopandas-1.1.1 h5py-3.15.1 idna-3.11 igraph-1.0.0 imageio-2.37.2 importlib_metadata-8.7.0 inflect-7.5.0 jmespath-1.0.1 joblib-1.5.2 kiwisolver-1.4.9 lazy-loader-0.4 legacy-api-wrap-1.5 leidenalg-0.11.0 locket-1.0.0 markdown-it-py-4.0.0 matplotlib-3.10.8 matplotlib-scalebar-0.9.0 mdurl-0.1.2 more_itertools-10.8.0 multidict-6.7.0 multipledispatch-1.0.0 multiscale-spatial-image-1.0.1 natsort-8.4.0 networkx-3.6.1 numcodecs-0.15.1 ome-zarr-0.11.1 omnipath-1.0.12 packaging-25.0 pandas-2.3.3 param-2.3.1 partd-1.4.2 patsy-1.0.2 pillow-12.0.0 pims-0.7 platformdirs-4.5.1 pooch-1.8.2 propcache-0.4.1 pyarrow-22.0.0 pyct-0.6.0 pygments-2.19.2 pynndescent-0.5.13 pyogrio-0.12.1 pyparsing-3.2.5 python-dateutil-2.9.0.post0 pytz-2025.2 pyyaml-6.0.3 requests-2.32.5 rich-14.2.0 s3fs-2023.6.0 scanpy-1.11.5 scikit-image-0.25.2 scikit-learn-1.8.0 scipy-1.16.3 seaborn-0.13.2 session-info2-0.2.3 shapely-2.1.2 six-1.17.0 slicerator-1.1.0 spatial-image-1.1.0 spatialdata-0.2.5.post0 squidpy-1.6.2 statsmodels-0.14.6 texttable-1.7.0 threadpoolctl-3.6.0 tifffile-2025.10.16 toolz-1.1.0 tqdm-4.67.1 typeguard-4.4.4 typing-extensions-4.15.0 tzdata-2025.2 umap-learn-0.5.9.post2 urllib3-1.26.20 validators-0.35.0 wrapt-1.17.3 xarray-2024.7.0 xarray-dataclasses-1.9.1 xarray-datatree-0.0.15 xarray-schema-0.0.3 xarray-spatial-0.4.0 yarl-1.22.0 zarr-2.18.7 zipp-3.23.0
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[31msys:1: FutureWarning: X.dtype being converted to np.float32 from float64. In the next version of anndata (0.9) conversion will not be automatic. Pass dtype explicitly to avoid this warning. Pass `AnnData(X, dtype=X.dtype, ...)` to get the future behavour.
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[31mError in py_call_impl(callable, call_args$unnamed, call_args$named) :
ModuleNotFoundError: No module named 'squidpy'
Run `reticulate::py_last_error()` for details.
Calls: .main ... tryCatchList -> force -> <Anonymous> -> py_call_impl
[39m[31m
Quitting from bkg-python-interoperability.qmd:279-284 [modules]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `py_call_impl()`:
! ModuleNotFoundError: No module named 'squidpy'
Run `reticulate::py_last_error()` for details.
---
Backtrace:
▆
1. └─global .main()
2. └─execute(...)
3. └─rmarkdown::render(...)
4. └─knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
5. └─knitr:::process_file(text, output)
6. ├─xfun:::handle_error(...)
7. ├─base::withCallingHandlers(...)
8. └─knitr:::process_group(group)
9. └─knitr:::call_block(x)
10. └─knitr:::block_exec(params)
11. ├─knitr:::in_input_dir(engine(options))
12. │ └─knitr:::in_dir(input_dir(), expr)
13. └─knitr (local) engine(options)
14. └─reticulate::eng_python(options)
15. └─reticulate:::py_compile_eval(snippet, compile_mode)
16. ├─reticulate::py_capture_output(...)
17. │ ├─base::tryCatch(...)
18. │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
19. │ └─base::force(expr)
20. └─builtins$eval(compiled, globals, locals)
21. └─reticulate:::py_call_impl(callable, call_args$unnamed, call_args$named)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
[39m[31mExecution halted
[39mmake: *** [render] Error 1
Error in tools::buildVignettes(dir = ".", tangle = TRUE) :
running 'make' failed
Execution halted