############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data GenProSeq ### ############################################################################## ############################################################################## * checking for file ‘GenProSeq/DESCRIPTION’ ... OK * preparing ‘GenProSeq’: * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR --- re-building ‘GenProSeq.Rmd’ using rmarkdown 2024-11-27 17:02:54.929119: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. /Users/biocbuild/.virtualenvs/r-keras/lib/python3.9/site-packages/urllib3/__init__.py:35: NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020 warnings.warn( /Users/biocbuild/.virtualenvs/r-keras/lib/python3.9/site-packages/keras/src/layers/reshaping/flatten.py:37: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead. super().__init__(**kwargs) Quitting from lines 55-81 [unnamed-chunk-1] (GenProSeq.Rmd) Error: processing vignette 'GenProSeq.Rmd' failed with diagnostics: object 'combined' not found --- failed re-building ‘GenProSeq.Rmd’ SUMMARY: processing the following file failed: ‘GenProSeq.Rmd’ Error: Vignette re-building failed. Execution halted