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Description
I'm working on getting some additional functionality from PolyFun working in the echofinemap::POLYFUN wrapper.
The issue I'm running into is that rpy2 doesn't' seem to be able to find the required R packages, which are installed both on my desktop and within a dedicated conda env called "echoR_mini". In fact, I'm calling python from within the "echoR_mini" conda env.
Command
/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/bin/python /Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py
--compute-h2-L2
--output-prefix /var/folders/zq/h7mtybc533b1qzkys_ttgpth0000gn/T//RtmpQlGIFj/PolyFun/output/dataset1/dataset1
--sumstats /var/folders/zq/h7mtybc533b1qzkys_ttgpth0000gn/T//RtmpQlGIFj/PolyFun/file123db57c7004fsumstats.munged.parquet
--ref-ld-chr /Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/example_data/annotations.
--w-ld-chr /Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/example_data/weights.
--num-bins 20
--allow-missing
Output
********************************************************************
* PolyFun (POLYgenic FUNctionally-informed fine-mapping)
* Version 1.0.0
* (C) 2019-2021 Omer Weissbrod
*********************************************************************
[INFO] Reading summary statistics from /var/folders/zq/h7mtybc533b1qzkys_ttgpth0000gn/T//RtmpQlGIFj/PolyFun/file123db57c7004fsumstats.munged.parquet ...
[INFO] Read summary statistics for 182450 SNPs.
[INFO] Reading reference panel LD Score from /Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/example_data/annotations.[1-22] ...
100%|██████████| 22/22 [00:00<00:00, 40.86it/s]
[INFO] Read reference panel LD Scores for 182454 SNPs.
[INFO] Reading regression weight LD Score from /Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/example_data/weights.[1-22] ...
100%|██████████| 22/22 [00:00<00:00, 43.36it/s]
[INFO] Read regression weight LD Scores for 182454 SNPs.
[INFO] After merging with reference panel LD, 182450 SNPs remain.
[INFO] After merging with regression SNP LD, 182450 SNPs remain.
[WARNING] number of SNPs is smaller than 200k; this is almost always bad.
[INFO] Removed 6 SNPs with chi^2 > 383.29 (182444 SNPs remain)
[INFO] iterating over chromosomes to compute XTX, XTy...
100%|██████████| 22/22 [00:00<00:00, 161.02it/s]
[INFO] Evaluating Ridge lambdas...
100%|██████████| 100/100 [00:00<00:00, 201.49it/s]
[INFO] Selected ridge lambda: 1.7475e-04 (43/100) score: 8.7191e-02 score lstsq: 8.7190e-02
100%|██████████| 2/2 [00:00<00:00, 201.82it/s]
[INFO] Estimating annotation coefficients for each chromosomes set
[INFO] Computing per-SNP h^2 for each chromosome...
100%|██████████| 22/22 [00:00<00:00, 103.64it/s]
[INFO] Saving constrained SNP variances to disk
100%|██████████| 22/22 [00:02<00:00, 10.57it/s]
[INFO] Saving SNP variances to disk
100%|██████████| 22/22 [00:02<00:00, 10.81it/s]
During startup - Warning messages:
1: package "methods" in options("defaultPackages") was not found
2: package ‘utils’ in options("defaultPackages") was not found
3: package ‘grDevices’ in options("defaultPackages") was not found
4: package ‘graphics’ in options("defaultPackages") was not found
5: package ‘stats’ in options("defaultPackages") was not found
6: package ‘methods’ in options("defaultPackages") was not found
[INFO] Clustering SNPs into bins using the R Ckmeans.1d.dp package
[INFO] cffi mode is CFFI_MODE.ANY
[INFO] R home found: /Library/Frameworks/R.framework/Resources
[DEBUG] Looking for LD_LIBRARY_PATH with: /Library/Frameworks/R.framework/Resources/bin/Rscript -e cat(Sys.getenv("LD_LIBRARY_PATH"))
[INFO] R library path:
[INFO] LD_LIBRARY_PATH:
[DEBUG] cffi mode is InterfaceType.API
[INFO] Default options to initialize R: rpy2, --quiet, --no-save
[WARNING] R[write to console]: Error in library.dynam(lib, package, package.lib) :
shared object ‘methods.dylib’ not found
[ERROR] Could not load the R package Ckmeans.1d.dp. Either install it or rerun PolyFun with --skip-Ckmedian
[ERROR]
Traceback (most recent call last):
File "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py", line 848, in <module>
polyfun_obj.polyfun_main(args)
File "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py", line 772, in polyfun_main
self.polyfun_h2_L2(args)
File "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py", line 605, in polyfun_h2_L2
self.partition_snps_to_bins(args, use_ridge=True)
File "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py", line 516, in partition_snps_to_bins
self.df_bins = self.partition_snps_Ckmedian(args, use_ridge=use_ridge)
File "/Library/Frameworks/R.framework/Versions/4.2/Resources/library/echofinemap/tools/polyfun/polyfun.py", line 432, in partition_snps_Ckmedian
import rpy2.robjects.numpy2ri as numpy2ri
File "/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/lib/python3.9/site-packages/rpy2/robjects/__init__.py", line 18, in <module>
from rpy2.robjects.robject import RObjectMixin, RObject
File "/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/lib/python3.9/site-packages/rpy2/robjects/robject.py", line 86, in <module>
class RObjectMixin(abc.ABC):
File "/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/lib/python3.9/site-packages/rpy2/robjects/robject.py", line 98, in RObjectMixin
__show = _get_exported_value('methods', 'show')
File "/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/lib/python3.9/site-packages/rpy2/rinterface_lib/conversion.py", line 45, in _
cdata = function(*args, **kwargs)
File "/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini/lib/python3.9/site-packages/rpy2/rinterface.py", line 810, in __call__
raise embedded.RRuntimeError(_rinterface._geterrmessage())
rpy2.rinterface_lib.embedded.RRuntimeError: Error in library.dynam(lib, package, package.lib) :
shared object ‘methods.dylib’ not found
conda list
Details
# packages in environment at /Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/echoconda/0.99.8/echoR_mini:
#
# Name Version Build Channel
_r-mutex 1.0.1 anacondar_1 conda-forge
arrow-cpp 7.0.1 py39h04a14be_6_cpu conda-forge
attrs 22.1.0 pyh71513ae_1 conda-forge
aws-c-cal 0.5.11 hd2e2f4b_0 conda-forge
aws-c-common 0.6.2 h0d85af4_0 conda-forge
aws-c-event-stream 0.2.7 hb9330a7_13 conda-forge
aws-c-io 0.10.5 h35aa462_0 conda-forge
aws-checksums 0.1.11 h0010a65_7 conda-forge
aws-sdk-cpp 1.8.186 h7c85d8e_4 conda-forge
axel 2.17.11 h815e4d9_0 conda-forge
bitarray 2.6.0 py39ha30fb19_1 conda-forge
bokeh 2.4.3 pyhd8ed1ab_3 conda-forge
brotlipy 0.7.0 py39ha30fb19_1005 conda-forge
bwidget 1.9.14 h694c41f_1 conda-forge
bzip2 1.0.8 h0d85af4_4 conda-forge
c-ares 1.18.1 h0d85af4_0 conda-forge
ca-certificates 2022.9.24 h033912b_0 conda-forge
cairo 1.16.0 h904041c_1014 conda-forge
cctools_osx-64 973.0.1 h2b95895_10 conda-forge
certifi 2022.9.24 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py39h131948b_2 conda-forge
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
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click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
cloudpickle 2.2.0 pyhd8ed1ab_0 conda-forge
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compiler-rt 14.0.4 h7fcd477_0 conda-forge
compiler-rt_osx-64 14.0.4 h6df654d_0 conda-forge
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curl 7.86.0 h57eb407_0 conda-forge
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dask 2022.10.1 pyhd8ed1ab_0 conda-forge
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fastparquet 0.8.3 py39h7cc1f47_1 conda-forge
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font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.1 h5bb23bf_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
freetype 2.12.1 h3f81eb7_0 conda-forge
fribidi 1.0.10 hbcb3906_0 conda-forge
fsspec 2022.10.0 pyhd8ed1ab_0 conda-forge
gettext 0.21.1 h8a4c099_0 conda-forge
gflags 2.2.2 hb1e8313_1004 conda-forge
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gfortran_osx-64 11.3.0 h18f7dce_0 conda-forge
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gmp 6.2.1 h2e338ed_0 conda-forge
graphite2 1.3.13 h2e338ed_1001 conda-forge
grpc-cpp 1.47.1 h834a566_7 conda-forge
gsl 2.7 h93259b0_0 conda-forge
gzip 1.12 h5eb16cf_0 conda-forge
harfbuzz 5.3.0 h08f8713_0 conda-forge
heapdict 1.0.1 py_0 conda-forge
htslib 1.16 h567f53e_0 bioconda
icu 70.1 h96cf925_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
iniconfig 1.1.1 pyh9f0ad1d_0 conda-forge
isl 0.22.1 hb1e8313_2 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e hac89ed1_2 conda-forge
krb5 1.19.3 hb49756b_0 conda-forge
lcms2 2.13.1 h90f4b2a_0 conda-forge
ld64_osx-64 609 h1e06c2b_10 conda-forge
lerc 4.0.0 hb486fe8_0 conda-forge
libabseil 20220623.0 cxx17_h844d122_4 conda-forge
libblas 3.9.0 16_osx64_openblas conda-forge
libbrotlicommon 1.0.9 hb7f2c08_8 conda-forge
libbrotlidec 1.0.9 hb7f2c08_8 conda-forge
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libcblas 3.9.0 16_osx64_openblas conda-forge
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libcrc32c 1.1.2 he49afe7_0 conda-forge
libcurl 7.86.0 h57eb407_0 conda-forge
libcxx 14.0.6 hccf4f1f_0 conda-forge
libdeflate 1.13 h775f41a_0 conda-forge
libedit 3.1.20191231 h0678c8f_2 conda-forge
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libxml2 2.10.3 hb9e07b5_0 conda-forge
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llvm-openmp 14.0.4 ha654fa7_0 conda-forge
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locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4 4.0.2 py39hd0af75a_0 conda-forge
lz4-c 1.9.3 he49afe7_1 conda-forge
make 4.3 h22f3db7_1 conda-forge
markupsafe 2.1.1 py39ha30fb19_2 conda-forge
mpc 1.2.1 hbb51d92_0 conda-forge
mpfr 4.1.0 h0f52abe_1 conda-forge
msgpack-python 1.0.4 py39h92daf61_1 conda-forge
ncurses 6.3 h96cf925_1 conda-forge
networkx 2.8.7 pyhd8ed1ab_0 conda-forge
numpy 1.23.4 py39hdfa1d0c_1 conda-forge
openjpeg 2.5.0 h5d0d7b0_1 conda-forge
openssl 1.1.1q hfd90126_1 conda-forge
orc 1.8.0 ha9d861c_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.5.1 py39hecff1ad_1 conda-forge
pandas-plink 2.2.9 py39h89e85a6_0 conda-forge
pango 1.50.11 h7fca291_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
partd 1.3.0 pyhd8ed1ab_0 conda-forge
pcre2 10.37 h3f55489_1 conda-forge
pillow 9.2.0 py39h35d4919_3 conda-forge
pip 22.3 pyhd8ed1ab_0 conda-forge
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pysocks 1.7.1 pyha2e5f31_6 conda-forge
pytest 7.2.0 py39h6e9494a_1 conda-forge
python 3.9.13 h57e37ff_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-tzdata 2022.5 pyhd8ed1ab_0 conda-forge
python_abi 3.9 2_cp39 conda-forge
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r-brio 1.1.3 r42h815d134_1 conda-forge
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r-expm 0.999_6 r42h63324e3_1 conda-forge
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re2 2022.06.01 hb486fe8_0 conda-forge
readline 8.1.2 h3899abd_0 conda-forge
requests 2.28.1 pyhd8ed1ab_1 conda-forge
rpy2 3.5.1 py39r42h7cc1f47_1 conda-forge
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setuptools 65.5.0 pyhd8ed1ab_0 conda-forge
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six 1.16.0 pyh6c4a22f_0 conda-forge
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xorg-libxau 1.0.9 h35c211d_0 conda-forge
xorg-libxdmcp 1.1.3 h35c211d_0 conda-forge
xz 5.2.6 h775f41a_0 conda-forge
yaml 0.2.5 h0d85af4_2 conda-forge
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hfd90126_4 conda-forge
zstandard 0.18.0 py39ha30fb19_1 conda-forge
zstd 1.5.2 hfa58983_4 conda-forge
rpy2 version
rpy2 3.5.1 py39r42h7cc1f47_1 conda-forge
Conda env yaml
You can use the following yaml to create the env I'm using:
echoR_mini.yml.txt
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