Closed flopflip closed 1 year ago
Hi @flopflip, thank you for opening the issue. I'm puzzled by this as QIIME 2 environments already have numpy, and a version which is compatible with the q2-greengenes2 dependencies.
I suspect there may be a more general issue going on, rather than being specific to q2-greengenes2. Would you be able to open a thread on the QIIME 2 forum with this detail? Please tag me on there with @wasade
I'll leave this issue open for the time being just incase
Hi there,
I think your plugin installation happens in some kind of temporary “private” directory where the install script does not see what is installed system-wide - is there a chance you can bundle the libraries like dumpy or at least add a script line to download them via pip in that private directory instead of throwing an error?
Thank you in advance for considering this request.
BTW, your install worked fine on my linux computer, but it gags on OS X.
Oh, and I am not holding my breath on the qiime people fixing this.
Cheers,
Mr. Flip
On 8 Aug 2023, at 18:39, Daniel McDonald @.***> wrote:
Hi @flopfliphttps://github.com/flopflip, thank you for opening the issue. I'm puzzled by this as QIIME 2 environments already have numpy, and a version which is compatible with the q2-greengenes2 dependencies.
I suspect there may be a more general issue going on, rather than being specific to q2-greengenes2. Would you be able to open a thread on the QIIME 2 forum<x-msg://1/forum.qiime2.org/> with this detail? Please tag me on there with @wasadehttps://github.com/wasade
I'll leave this issue open for the time being just incase
— Reply to this email directly, view it on GitHubhttps://github.com/biocore/q2-greengenes2/issues/19#issuecomment-1669823796, or unsubscribehttps://github.com/notifications/unsubscribe-auth/ACHWNJOVGBY365E6COUBLG3XUJKINANCNFSM6AAAAAA3H4UQOY. You are receiving this because you were mentioned.Message ID: @.***>
q2-greengenes2
installs without issue into a vanilla QIIME 2 2023.5 environment on my local OSX system. That doesn't definitively rule out the issue being isolated to this plugin, or OSX. However, it does work with QIIME 2 on OSX on some systems, and I'm unaware of anything about this plugin which would lead to differences across OSX systems.
As this is a simple plugin by QIIME 2 standards, it very likely is a more general problem with your environment or some other type of edge case related to the QIIME 2 framework.
What happens if you do pip install q2-fragment-insertion
?
The QIIME 2 team is incredibly responsive, and I strongly recommend considering their assistance.
So, to test other plugins I was able to install in qiime2023.5: pip install redbiom
which successfully pulled all its dependencies and installed them, then compiled, etc.
Is there any chance to include a hook in your scrip to pull numpy for the greengenes2, as it does not see the one that is already installed?
redbiom
is not a QIIME 2 plugin. Was an install for q2-fragment-insertion
within a vanilla QIIME 2 environment successful?
I just created a new environment on OSX, followed by pip install q2-greengenes2
. Pip reports the numpy requirement is already satisfied. This is expected as Numpy is both part of the standard QIIME 2 installation, and is a requirement implicitly through its direct dependencies install_requires
as they all use and require numpy. Adding numpy as another install_requires
is unlikely to lead to a change on your system. There is nothing particularly special about the pip installation for q2-greengenes2, hence the request to open an issue on a more general forum.
While I cannot recreate your issue, which complicates a definitive resolution, it is the case that we are not exercising CI in OSX, and the CI steps themselves do not mirror user action, so I'll be issuing a PR to address that momentarily.
Could you provide the following output in full so that I can better understand your environment?
$ conda activate qiime2-2023.5
$ which conda
$ which pip
$ conda list
$ pip freeze
$ uname -a
Hello again and thank you for looking into this!
The other plug-in seems to be unavailable? :
(qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % pip install q2-fragment-insertion ERROR: Could not find a version that satisfies the requirement q2-fragment-insertion (from versions: none) ERROR: No matching distribution found for q2-fragment-insertion
The same error happens for previous versions of qiime2.
Next, the output of the commands you listed:
(base) ergo@ergos-MacBook-Pro Downloads % conda activate qiime2-2023.5 (qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % which conda conda () { \local cmd="${1-missing}" case "$cmd" in (activate | deactivate) conda_activate "$@" ;; (install | update | upgrade | remove | uninstall) __conda_exe "$@" || \return conda_reactivate ;; (*) __conda_exe "$@" ;; esac } (qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % which pip /Users/ergo/.pyenv/shims/pip (qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % conda list
#
_r-mutex 1.0.1 anacondar_1 conda-forge
altair 5.0.1 pyhd8ed1ab_1 conda-forge
anyio 3.7.0 pyhd8ed1ab_1 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
appnope 0.1.3 pyhd8ed1ab_0 conda-forge
argcomplete 3.0.8 pyhd8ed1ab_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py38hef030d1_3 conda-forge
arrow 1.2.3 pyhd8ed1ab_0 conda-forge
astor 0.8.1 pyh9f0ad1d_0 conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
atpublic 3.0.1 pyhd8ed1ab_0 conda-forge
attrs 23.1.0 pyh71513ae_1 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
bcrypt 3.2.2 py38hef030d1_1 conda-forge
beautifulsoup4 4.12.2 pyha770c72_0 conda-forge
bibtexparser 1.4.0 pyhd8ed1ab_0 conda-forge
bioconductor-ancombc 2.0.1 r42hdfd78af_0 bioconda
bioconductor-beachmat 2.14.0 r42hc0ef7c4_1 bioconda
bioconductor-biobase 2.58.0 r42h4c50009_1 bioconda
bioconductor-biocbaseutils 1.0.0 r42hdfd78af_0 bioconda
bioconductor-biocgenerics 0.44.0 r42hdfd78af_0 bioconda
bioconductor-biocneighbors 1.16.0 r42hc0ef7c4_1 bioconda
bioconductor-biocparallel 1.32.5 r42hc0ef7c4_1 bioconda
bioconductor-biocsingular 1.14.0 r42hc0ef7c4_1 bioconda
bioconductor-biomformat 1.26.0 r42hdfd78af_0 bioconda
bioconductor-biostrings 2.66.0 r42h4c50009_1 bioconda
bioconductor-dada2 1.26.0 r42hc0ef7c4_1 bioconda
bioconductor-data-packages 20230420 hdfd78af_0 bioconda
bioconductor-decipher 2.26.0 r42h4c50009_1 bioconda
bioconductor-decontam 1.18.0 r42hdfd78af_0 bioconda
bioconductor-delayedarray 0.24.0 r42h4c50009_1 bioconda
bioconductor-delayedmatrixstats 1.20.0 r42hdfd78af_0 bioconda
bioconductor-dirichletmultinomial 1.40.0 r42hd4be0b2_1 bioconda
bioconductor-genomeinfodb 1.34.9 r42hdfd78af_0 bioconda
bioconductor-genomeinfodbdata 1.2.9 r42hdfd78af_0 bioconda
bioconductor-genomicalignments 1.34.0 r42h4c50009_1 bioconda
bioconductor-genomicranges 1.50.0 r42h4c50009_1 bioconda
bioconductor-iranges 2.32.0 r42h4c50009_1 bioconda
bioconductor-matrixgenerics 1.10.0 r42hdfd78af_0 bioconda
bioconductor-mia 1.6.0 r42hdfd78af_0 bioconda
bioconductor-multiassayexperiment 1.24.0 r42hdfd78af_0 bioconda
bioconductor-multtest 2.54.0 r42h4c50009_1 bioconda
bioconductor-phyloseq 1.42.0 r42hdfd78af_0 bioconda
bioconductor-rhdf5 2.42.0 r42hfab559d_2 bioconda
bioconductor-rhdf5filters 1.10.0 r42hc0ef7c4_1 bioconda
bioconductor-rhdf5lib 1.20.0 r42h4c50009_2 bioconda
bioconductor-rhtslib 2.0.0 r42h4c50009_1 bioconda
bioconductor-rsamtools 2.14.0 r42hc0ef7c4_1 bioconda
bioconductor-s4vectors 0.36.0 r42h4c50009_1 bioconda
bioconductor-scaledmatrix 1.6.0 r42hdfd78af_0 bioconda
bioconductor-scater 1.26.0 r42hdfd78af_0 bioconda
bioconductor-scuttle 1.8.0 r42hc0ef7c4_1 bioconda
bioconductor-shortread 1.56.0 r42hc0ef7c4_1 bioconda
bioconductor-singlecellexperiment 1.20.0 r42hdfd78af_0 bioconda
bioconductor-sparsematrixstats 1.10.0 r42hc0ef7c4_1 bioconda
bioconductor-summarizedexperiment 1.28.0 r42hdfd78af_0 bioconda
bioconductor-treeio 1.22.0 r42hdfd78af_0 bioconda
bioconductor-treesummarizedexperiment 2.6.0 r42hdfd78af_0 bioconda
bioconductor-xvector 0.38.0 r42h4c50009_1 bioconda
bioconductor-zlibbioc 1.44.0 r42h4c50009_2 bioconda
biom-format 2.1.12 py38hbd87e4b_2 conda-forge
blast 2.14.0 pl5321h91c44f7_2 bioconda
bleach 6.0.0 pyhd8ed1ab_0 conda-forge
bokeh 3.1.1 pyhd8ed1ab_0 conda-forge
bowtie2 2.5.1 py38hbee1746_2 bioconda
brotli 1.0.9 hb7f2c08_9 conda-forge
brotli-bin 1.0.9 hb7f2c08_9 conda-forge
bwidget 1.9.14 h694c41f_1 conda-forge
bzip2 1.0.8 h0d85af4_4 conda-forge
c-ares 1.19.1 h0dc2134_0 conda-forge
ca-certificates 2023.5.7 h8857fd0_0 conda-forge
cachecontrol 0.12.11 pyhd8ed1ab_1 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cairo 1.16.0 h09dd18c_1016 conda-forge
cctools_osx-64 973.0.1 h5676edf_13 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py38hb368cf1_3 conda-forge
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
clang 16.0.3 hc177806_2 conda-forge
clang-16 16.0.3 default_h762fdd7_2 conda-forge
clang_osx-64 16.0.3 h51755a5_2 conda-forge
clangxx 16.0.3 default_h762fdd7_2 conda-forge
clangxx_osx-64 16.0.3 hc8f2981_2 conda-forge
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.1.3 pyhd8ed1ab_0 conda-forge
compiler-rt 16.0.3 he1888fc_1 conda-forge
compiler-rt_osx-64 16.0.3 he1888fc_1 conda-forge
contourpy 1.0.7 py38h98b9b1b_0 conda-forge
cryptography 40.0.2 py38h4257468_0 conda-forge
curl 7.88.1 h6df9250_1 conda-forge
cutadapt 4.4 py38h604ca31_1 bioconda
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cython 0.29.35 py38h940360d_0 conda-forge
deblur 1.1.1 pyhdfd78af_0 bioconda
debugpy 1.6.7 py38h4cd09af_0 conda-forge
decorator 4.4.2 py_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
dendropy 4.5.2 pyh3252c3a_0 bioconda
dill 0.3.6 pyhd8ed1ab_1 conda-forge
dnaio 0.10.0 py38h604ca31_3 bioconda
emperor 1.0.3 py38h50d1736_0 conda-forge
entrez-direct 16.2 h193322a_1 bioconda
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.1.1 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
expat 2.5.0 hf0c8a7f_1 conda-forge
fastcluster 1.2.6 py38hec72209_2 conda-forge
fasttree 2.1.11 he0842df_2 bioconda
flit-core 3.9.0 pyhd8ed1ab_0 conda-forge
flufl.lock 7.1 pyhd8ed1ab_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 h5bb23bf_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.39.4 py38hcafd530_0 conda-forge
formulaic 0.6.1 pyhd8ed1ab_0 conda-forge
fqdn 1.5.1 pyhd8ed1ab_0 conda-forge
freetype 2.12.1 h3f81eb7_1 conda-forge
fribidi 1.0.10 hbcb3906_0 conda-forge
future 0.18.3 pyhd8ed1ab_0 conda-forge
gettext 0.21.1 h8a4c099_0 conda-forge
gfortran_impl_osx-64 11.3.0 hd49a413_32 conda-forge
gfortran_osx-64 11.3.0 h18f7dce_1 conda-forge
globus-sdk 3.19.0 pyhd8ed1ab_0 conda-forge
glpk 5.0 h3cb5acd_0 conda-forge
gmp 6.2.1 h2e338ed_0 conda-forge
gneiss 0.4.6 py_0 bioconda
graphite2 1.3.13 h2e338ed_1001 conda-forge
graphlib-backport 1.0.3 pyhd8ed1ab_0 conda-forge
gsl 2.7 h93259b0_0 conda-forge
h5py 2.10.0 nompi_py38h9a16e60_106 conda-forge
harfbuzz 7.3.0 h413ba03_0 conda-forge
hdf5 1.10.6 h10fe05b_1
hdmedians 0.14.2 py38hbd87e4b_3 conda-forge
hmmer 3.1b2 3 bioconda
htslib 1.17 h567f53e_1 bioconda
icu 72.1 h7336db1_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
ijson 3.2.0.post0 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.8.3 py38h50d1736_0 conda-forge
importlib_metadata 4.8.3 hd8ed1ab_0 conda-forge
importlib_resources 5.12.0 pyhd8ed1ab_0 conda-forge
iniconfig 2.0.0 pyhd8ed1ab_0 conda-forge
interface_meta 1.3.0 pyhd8ed1ab_0 conda-forge
iow 1.0.5 py38hb139fc8_1 bioconda
ipykernel 6.23.1 pyh736e0ef_0 conda-forge
ipython 8.12.2 pyhd1c38e8_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 8.0.6 pyhd8ed1ab_0 conda-forge
iqtree 2.2.2.3 h1e8fc2a_2 bioconda
isa-l 2.30.0 h0d85af4_4 conda-forge
isl 0.25 hb486fe8_0 conda-forge
isoduration 20.11.0 pyhd8ed1ab_0 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jq 1.6 hc929b4f_1000 conda-forge
jsonpointer 2.0 py_0 conda-forge
jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
jsonschema-with-format-nongpl 4.17.3 pyhd8ed1ab_0 conda-forge
jupyter_client 8.2.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.3.0 py38h50d1736_0 conda-forge
jupyter_events 0.6.3 pyhd8ed1ab_1 conda-forge
jupyter_server 2.6.0 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.4.4 pyhd8ed1ab_1 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 3.0.7 pyhd8ed1ab_1 conda-forge
kiwisolver 1.4.4 py38h98b9b1b_1 conda-forge
krb5 1.20.1 h049b76e_0 conda-forge
lcms2 2.15 h2dcdeff_1 conda-forge
ld64_osx-64 609 hbfe4790_13 conda-forge
lerc 4.0.0 hb486fe8_0 conda-forge
libblas 3.9.0 16_osx64_openblas conda-forge
libbrotlicommon 1.0.9 hb7f2c08_9 conda-forge
libbrotlidec 1.0.9 hb7f2c08_9 conda-forge
libbrotlienc 1.0.9 hb7f2c08_9 conda-forge
libcblas 3.9.0 16_osx64_openblas conda-forge
libclang-cpp16 16.0.3 default_h762fdd7_2 conda-forge
libcurl 7.88.1 h6df9250_1 conda-forge
libcxx 16.0.4 hd57cbcb_0 conda-forge
libdeflate 1.18 hac1461d_0 conda-forge
libedit 3.1.20191231 h0678c8f_2 conda-forge
libev 4.33 haf1e3a3_1 conda-forge
libexpat 2.5.0 hf0c8a7f_1 conda-forge
libffi 3.4.2 h0d85af4_5 conda-forge
libgfortran 5.0.0 11_3_0_h97931a8_32 conda-forge
libgfortran-devel_osx-64 11.3.0 h824d247_32 conda-forge
libgfortran5 12.2.0 he409387_32 conda-forge
libglib 2.76.3 hc62aa5d_0 conda-forge
libiconv 1.17 hac89ed1_0 conda-forge
libidn2 2.3.4 hb7f2c08_0 conda-forge
libjpeg-turbo 2.1.5.1 hb7f2c08_0 conda-forge
liblapack 3.9.0 16_osx64_openblas conda-forge
liblapacke 3.9.0 16_osx64_openblas conda-forge
libllvm11 11.1.0 h8fb7429_5 conda-forge
libllvm16 16.0.3 hf646ca0_1 conda-forge
libnghttp2 1.52.0 he2ab024_0 conda-forge
libopenblas 0.3.21 openmp_h429af6e_3 conda-forge
libpng 1.6.39 ha978bb4_0 conda-forge
libsodium 1.0.18 hbcb3906_1 conda-forge
libsqlite 3.42.0 h58db7d2_0 conda-forge
libssh2 1.10.0 h47af595_3 conda-forge
libtiff 4.5.0 hedf67fa_6 conda-forge
libunistring 0.9.10 h0d85af4_0 conda-forge
libwebp-base 1.3.0 hb7f2c08_0 conda-forge
libxcb 1.15 hb7f2c08_0 conda-forge
libxml2 2.10.4 h554bb67_0 conda-forge
libxslt 1.1.37 h5d22bc9_0 conda-forge
libzlib 1.2.13 h8a1eda9_5 conda-forge
llvm-openmp 16.0.4 hff08bdf_0 conda-forge
llvm-tools 16.0.3 hf646ca0_1 conda-forge
llvmlite 0.39.1 py38hc86dbf9_1 conda-forge
lockfile 0.12.2 py_1 conda-forge
lxml 4.9.2 py38h64add32_0 conda-forge
lz4 4.3.2 py38h10aaa5c_0 conda-forge
lz4-c 1.9.4 hf0c8a7f_0 conda-forge
mafft 7.520 h2413b67_2 bioconda
make 4.3 h22f3db7_1 conda-forge
markupsafe 2.1.2 py38hef030d1_0 conda-forge
matplotlib 3.6.0 py38h50d1736_0 conda-forge
matplotlib-base 3.6.0 py38hcb346ec_0 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mistune 2.0.5 pyhd8ed1ab_0 conda-forge
mpc 1.3.1 h81bd1dd_0 conda-forge
mpfr 4.2.0 h4f9bd69_0 conda-forge
msgpack-python 1.0.5 py38h98b9b1b_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
mypy 1.3.0 py38hcafd530_0 conda-forge
mypy_extensions 1.0.0 pyha770c72_0 conda-forge
natsort 8.3.1 pyhd8ed1ab_0 conda-forge
nbclassic 1.0.0 pyhb4ecaf3_1 conda-forge
nbclient 0.8.0 pyhd8ed1ab_0 conda-forge
nbconvert 7.4.0 pyhd8ed1ab_0 conda-forge
nbconvert-core 7.4.0 pyhd8ed1ab_0 conda-forge
nbconvert-pandoc 7.4.0 pyhd8ed1ab_0 conda-forge
nbformat 5.8.0 pyhd8ed1ab_0 conda-forge
ncbi-vdb 3.0.0 pl5321h9722bc1_0 bioconda
ncurses 6.3 h96cf925_1 conda-forge
nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge
networkx 3.1 pyhd8ed1ab_0 conda-forge
nlopt 2.7.1 py38h677a455_3 conda-forge
nose 1.3.7 py_1006 conda-forge
notebook 6.5.4 pyha770c72_0 conda-forge
notebook-shim 0.2.3 pyhd8ed1ab_0 conda-forge
numba 0.56.4 py38hfdfe451_1 conda-forge
numpy 1.23.5 py38hc2f29e8_0 conda-forge
oniguruma 6.9.8 hac89ed1_0 conda-forge
openjdk 17.0.3 h7d26f99_8 conda-forge
openjpeg 2.5.0 h13ac156_2 conda-forge
openssl 3.1.0 h8a1eda9_3 conda-forge
overrides 7.3.1 pyhd8ed1ab_0 conda-forge
packaging 23.1 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py38hec72209_1 conda-forge
pandoc 2.19.2 h694c41f_2 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
pango 1.50.14 hbce5e75_1 conda-forge
paramiko 3.2.0 pyhd8ed1ab_0 conda-forge
parsl 2023.5.29 pyhd8ed1ab_0 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
patsy 0.5.3 pyhd8ed1ab_0 conda-forge
pbzip2 1.1.13 h9d27c22_1 conda-forge
pcre 8.45 he49afe7_0 conda-forge
pcre2 10.40 h1c4e4bc_0 conda-forge
perl 5.32.1 4_h0dc2134_perl5 conda-forge
perl-archive-tar 2.40 pl5321hdfd78af_0 bioconda
perl-carp 1.50 pl5321hd8ed1ab_0 conda-forge
perl-common-sense 3.75 pl5321hd8ed1ab_0 conda-forge
perl-compress-raw-bzip2 2.201 pl5321h775f41a_0 conda-forge
perl-compress-raw-zlib 2.202 pl5321h775f41a_0 conda-forge
perl-encode 3.19 pl5321hb7f2c08_0 conda-forge
perl-exporter 5.74 pl5321hd8ed1ab_0 conda-forge
perl-exporter-tiny 1.002002 pl5321hd8ed1ab_0 conda-forge
perl-extutils-makemaker 7.70 pl5321hd8ed1ab_0 conda-forge
perl-io-compress 2.201 pl5321h7133b54_2 bioconda
perl-io-zlib 1.14 pl5321hdfd78af_0 bioconda
perl-json 4.10 pl5321hdfd78af_0 bioconda
perl-json-xs 2.34 pl5321hcd10b59_5 bioconda
perl-list-moreutils 0.430 pl5321hdfd78af_0 bioconda
perl-list-moreutils-xs 0.430 pl5321ha5712d3_1 bioconda
perl-parent 0.241 pl5321hd8ed1ab_0 conda-forge
perl-pathtools 3.75 pl5321h775f41a_0 conda-forge
perl-scalar-list-utils 1.63 pl5321h775f41a_0 conda-forge
perl-storable 3.15 pl5321h775f41a_0 conda-forge
perl-types-serialiser 1.01 pl5321hdfd78af_0 bioconda
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pigz 2.6 h5dbffcc_0 conda-forge
pillow 9.5.0 py38h16710f9_1 conda-forge
pip 23.1.2 pyhd8ed1ab_0 conda-forge
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widgetsnbextension 4.0.7 pyhd8ed1ab_0 conda-forge
wrapt 1.15.0 py38hef030d1_0 conda-forge
xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge
xopen 1.7.0 py38h50d1736_2 conda-forge
xorg-libxau 1.0.11 h0dc2134_0 conda-forge
xorg-libxdmcp 1.1.3 h35c211d_0 conda-forge
xyzservices 2023.5.0 pyhd8ed1ab_1 conda-forge
xz 5.2.6 h775f41a_0 conda-forge
yaml 0.2.5 h0d85af4_2 conda-forge
yq 3.2.2 pyhd8ed1ab_0 conda-forge
zeromq 4.3.4 he49afe7_1 conda-forge
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h8a1eda9_5 conda-forge
zstandard 0.19.0 py38hd8fc1c9_2 conda-forge
zstd 1.5.2 h829000d_7 conda-forge
(qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % pip freeze
appnope==0.1.3
asttokens==2.2.1
backcall==0.2.0
biom-format==2.1.14
certifi==2023.7.22
cffi==1.15.1
charset-normalizer==3.2.0
click==8.1.3
contourpy==1.1.0
cycler==0.11.0
Cython==0.29.33
decorator==5.1.1
executing==1.2.0
fonttools==4.42.0
h5py==3.8.0
hdmedians==0.14.2
idna==3.4
importlib-resources==6.0.1
ipython==8.14.0
jedi==0.19.0
joblib==1.2.0
kiwisolver==1.4.4
matplotlib==3.7.2
matplotlib-inline==0.1.6
msgpack==1.0.5
natsort==8.4.0
nltk==3.8.1
numpy==1.25.2
packaging==23.1
pandas==1.5.3
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
-e /Users/ergo/Downloads/picrust2-2.5.1 Pillow==10.0.0 prompt-toolkit==3.0.36 ptyprocess==0.7.0 pure-eval==0.2.2 pycparser==2.21 Pygments==2.13.0 pyparsing==3.0.9 python-dateutil==2.8.2 pytz==2022.7.1 radian==0.6.4 rchitect==0.3.39 redbiom==0.3.9 regex==2023.8.8 requests==2.31.0 scikit-bio==0.5.9 scikit-learn==1.3.0 scipy==1.10.0 six==1.16.0 stack-data==0.6.2 threadpoolctl==3.2.0 tqdm==4.65.2 traitlets==5.9.0 typing_extensions==4.7.1 urllib3==2.0.4 wcwidth==0.2.5 zipp==3.16.2 (qiime2-2023.5) ergo@ergos-MacBook-Pro Downloads % uname -a Darwin ergos-MacBook-Pro.local 22.6.0 Darwin Kernel Version 22.6.0: Wed Jul 5 22:22:05 PDT 2023; root:xnu-8898.141.3~6/RELEASE_ARM64_T6000 arm64
Thanks! So from this, it looks like the wrong pip
is being used. It is correct that q2-fragment-insertion
is not in pypi (blanked on that...), however pip
should detect it in the environment as it is part of the QIIME 2 2023.5 install. Here's what I see:
$ pip install q2-fragment-insertion
Requirement already satisfied: q2-fragment-insertion in /Users/dtmcdonald/micromamba/envs/qiime2-2023.5-test/lib/python3.8/site-packages (2023.5.0)
$ pip freeze | grep frag
q2-fragment-insertion==2023.5.0
The reported path for pip
on your system is /Users/ergo/.pyenv/shims/pip
. Instead, the environment needs to use the installation of pip
that came with conda
, e.g. pip 23.1.2 pyhd8ed1ab_0 conda-forge
in the output above. On my environment, the specific path corresponds to /Users/dtmcdonald/micromamba/envs/qiime2-2023.5-test/bin/pip
.
It looks like there are multiple Python environment managers being used, pyenv
and conda
. These almost certainly are not interacting properly. My best guess is that your PATH
environment variable, set in ~/.bashrc
or ~/.bash_profile
if using bash, is setting a precedence for your pyenv
shims over binaries for conda
.
Are you able to remove pyenv
, or modify your PATH
so pyenv
is not used with conda
?
At this stage, this issue is definitively general and not specific to this plugin. I really recommend moving this to the forum as the developers there have substantially more experience with varied QIIME 2 installation issues, and I think it's been a decade since I've used pyenv
Thank you for the help! as per you suggestion, this fixed it:
rm -rf $(pyenv root)
brew uninstall pyenv
This can be closed
Great!!
Hello,
on OS X Ventura the installation throws error ModuleNotFoundError: No module named 'numpy' even though it is already install
this was tried for all versions of qiime2, both with and without qiime2 activated
full log below:
python -mpip install q2-greengenes2 Collecting q2-greengenes2 Using cached q2-greengenes2-2023.3.tar.gz (38 kB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Requirement already satisfied: biom-format in ./.pyenv/versions/3.9.1/lib/python3.9/site-packages (from q2-greengenes2) (2.1.14) Collecting iow (from q2-greengenes2) Using cached iow-1.0.6.tar.gz (941 kB) Installing build dependencies ... done Getting requirements to build wheel ... error error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> [17 lines of output] Traceback (most recent call last): File "/Users/ergo/.pyenv/versions/3.9.1/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in
main()
File "/Users/ergo/.pyenv/versions/3.9.1/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/Users/ergo.pyenv/versions/3.9.1/lib/python3.9/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 118, in get_requires_for_build_wheel
return hook(config_settings)
File "/private/var/folders/5m/3yj_f6vx3rxgqplmzcq4bt_h0000gn/T/pip-build-env-2u2j3ocl/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 341, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=['wheel'])
File "/private/var/folders/5m/3yj_f6vx3rxgqplmzcq4bt_h0000gn/T/pip-build-env-2u2j3ocl/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 323, in _get_build_requires
self.run_setup()
File "/private/var/folders/5m/3yj_f6vx3rxgqplmzcq4bt_h0000gn/T/pip-build-env-2u2j3ocl/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 487, in run_setup
super(_BuildMetaLegacyBackend,
File "/private/var/folders/5m/3yj_f6vx3rxgqplmzcq4bt_h0000gn/T/pip-build-env-2u2j3ocl/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 338, in run_setup
exec(code, locals())
File "", line 18, in
ModuleNotFoundError: No module named 'numpy'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> See above for output.
pip install numpy
Requirement already satisfied: numpy in ./.pyenv/versions/3.9.1/lib/python3.9/site-packages (1.25.2)