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License: BSD 3-Clause "New" or "Revised" License
A conda-smithy repository for boost-cpp.
License: BSD 3-Clause "New" or "Revised" License
Seems that Boost's build time is nearing the Travis CI time limit. Also it seems to go over Travis CI's log length limit in some cases. This is a little odd as the current version has built within ~30mins in the past. Not sure why it some times goes over, but it would be good to get a handle on this.
I am aware of the libboost-headers available for 1.82.0. However I need the libboost-headers for 1.70.0 and hence trying to build a package from the existing recipe at boost-cpp-feedstock. I have downloaded the boost-cpp-feedstock repo and modified the meta.yml and install-lib.bat. However I run into errors while creating a package. Below is the recipe:
meta.yml:
{% set version = "1.70.0" %}
{% set boost_libs = [
"atomic", "chrono", "container", "context", "contract", "coroutine",
"date_time", "filesystem", "graph", "iostreams", "locale", "log", "log_setup",
"math_c99", "math_c99f", "math_tr1", "math_tr1f", "prg_exec_monitor",
"program_options", "random", "regex", "serialization", "system", "thread",
"timer", "type_erasure", "unit_test_framework", "wave", "wserialization"
] %}
{% set boost_libs = boost_libs + ["math_c99l", "math_tr1l"] %} # [not ppc64le]
{% set boost_libs_static_only = ["exception", "test_exec_monitor"] %}
{% set boost_libs_py = ["python%s" % py, "numpy%s" % py] %}
package:
name: boost-split
version: {{ version }}
source:
url: https://boostorg.jfrog.io/artifactory/main/release/{{ version }}/source/boost_{{ version|replace(".", "_") }}.tar.bz2
sha256: 430ae8354789de4fd19ee52f3b1f739e1fba576f0aded0897c3c2bc00fb38778
outputs:
- name: libboost-headers
script: install-lib.bat # [win]
install-lib.bat
@echo on
if [%PKG_NAME%] == [libboost-headers] (
REM for libboost-headers, only the headers
robocopy temp_prefix\include %LIBRARY_INC% /E >nul
REM robocopy leaves non-zero exit status as sign of success; clear it
echo "robocopy done"
) else (
REM everything else
xcopy /E /Y temp_prefix\lib %LIBRARY_LIB%
)
Error attached.
error.txt
It appears that one of our migrations got ahead of another and we need a 1.72 branch on the latest icu version. ping @conda-forge/boost-cpp
Issue: non-Python headers are missing from $CONDA_PREFIX/include/boost
conda install libboost boost-cpp boost --yes
ls -F $CONDA_PREFIX/include/boost
python/ python.hpp
conda list
):
$ conda list
# packages in environment at /opt/app/data/home_extenstion/gregory-werbin/projects/tts-classification/conda-env:
#
# Name Version Build Channel
_py-xgboost-mutex 2.0 cpu_0
_r-mutex 1.0.0 mro_2
absl-py 0.5.0 py_0 conda-forge
appdirs 1.4.3 <pip>
arrow-cpp 0.11.0 py36h5c3f529_0
asn1crypto 0.24.0 py36_0
astor 0.7.1 py_0 conda-forge
atomicwrites 1.2.1 py_0 conda-forge
attrs 18.2.0 py_0 conda-forge
backcall 0.1.0 py36_0
bidict 0.17.3 py_0 conda-forge
binutils 2.31 0 conda-forge
binutils_impl_linux-64 2.31.1 h6176602_1
binutils_linux-64 2.31.1 h6176602_3
blas 1.0 mkl
bleach 3.0.2 py_0 conda-forge
bokeh 0.13.0 py36_1000 conda-forge
boltons 18.0.1 py_0 conda-forge
boost 1.67.0 py36_4
boost-cpp 1.67.0 h14c3975_4
boto 2.49.0 py36_0
boto3 1.9.21 py36_0
botocore 1.12.23 py36_0
bwidget 1.9.11 1
bz2file 0.98 <pip>
bzip2 1.0.6 h14c3975_5
c-ares 1.14.0 h470a237_0 conda-forge
ca-certificates 2018.03.07 0
cairo 1.14.12 h8948797_3
category_encoders 1.3.0 py_0 conda-forge
certifi 2018.10.15 py36_0
cffi 1.11.5 py36he75722e_1
chardet 3.0.4 py36_1
click 7.0 py_0 conda-forge
cloog 0.18.0 0
cloudpickle 0.6.1 py_0 conda-forge
ConfigArgParse 0.13.0 <pip>
configparser 3.5.0 py36_1001 conda-forge
cryptography 2.3.1 py36hc365091_0
curl 7.61.0 h84994c4_0
cycler 0.10.0 py36_0
cymem 1.31.2 py36_0 conda-forge
cython 0.29 py36hfc679d8_0 conda-forge
cytoolz 0.9.0.1 py36h14c3975_1
dask 0.19.4 py_0 conda-forge
dask-core 0.19.4 py_0 conda-forge
dask-distance 0.2.0 py_0 conda-forge
dask-glm 0.2.0 py36_0
dask-ml 0.11.0 py36_0
dask-searchcv 0.2.0 py36_0
dask-tensorflow 0.0.2 py_0 conda-forge
dask-xgboost 0.1.5 py_0 conda-forge
databricks-api 0.1.0 py36h5ab1744_0 chubb-gregory_werbin
databricks-cli 0.8.2 py36h8a97ec0_0 chubb-gregory_werbin
databricks-utils 0.0.7 py36he9fa4dc_0 chubb-gregory_werbin
datrie 0.7.1 <pip>
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py36_0
dill 0.2.8.2 py36_0
distributed 1.23.3 py36_1000 conda-forge
docutils 0.14 py36_0
en-core-web-lg 2.0.0 <pip>
entrypoints 0.2.3 py36_1002 conda-forge
expat 2.2.5 hfc679d8_2 conda-forge
face 0.1.0 py_0 gwerbin
fancycompleter 0.8 py36_1000 conda-forge
fastcluster 1.1.25 py36hf8a1672_0 conda-forge
fastparquet 0.1.6 py36_0 conda-forge
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
frozendict 1.2 py36_0 conda-forge
future 0.16.0 py36_1002 conda-forge
gast 0.2.0 py_0 conda-forge
gcc 4.8.5 7
gcc_impl_linux-64 7.3.0 habb00fd_1
gcc_linux-64 7.3.0 h553295d_3
gensim 3.6.0 <pip>
gettext 0.19.8.1 h5e8e0c9_1 conda-forge
gflags 2.2.1 hf484d3e_0
gfortran_impl_linux-64 7.3.0 hdf63c60_1
gfortran_linux-64 7.3.0 h553295d_3
gitdb2 2.0.5 <pip>
GitPython 2.1.11 <pip>
glib 2.56.2 h464dc38_0 conda-forge
glmnet 2.0.0 py36_2 conda-forge
glog 0.3.5 hf484d3e_1
glom 18.3.1 py_0 gwerbin
gmp 6.1.2 hfc679d8_0 conda-forge
graphite2 1.3.12 hfc679d8_1 conda-forge
graphviz 2.38.0 h08bfae6_9 conda-forge
grpcio 1.12.1 py36hdbcaa40_0
gsl 2.2.1 h0c605f7_3
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
gxx_impl_linux-64 7.3.0 hdf63c60_1
gxx_linux-64 7.3.0 h553295d_3
h5py 2.8.0 py36h7eb728f_3 conda-forge
harfbuzz 1.9.0 h04dbb29_1 conda-forge
hdf5 1.10.2 hc401514_2 conda-forge
heapdict 1.0.0 py36_1000 conda-forge
hyperopt 0.1.1 py_0 conda-forge
icu 58.2 h9c2bf20_1
idna 2.7 py36_0
imbalanced-learn 0.4.2 py_0 conda-forge
intel-openmp 2019.0 118
ipdb 0.11 py_1 conda-forge
ipykernel 5.1.0 py36h39e3cac_0
ipython 7.0.1 py36h39e3cac_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.4.2 py_0 conda-forge
isl 0.12.2 0
jedi 0.13.1 py36_0
jinja2 2.10 py_1 conda-forge
jmespath 0.9.3 py36_0
joblib 0.12.5 py_0 conda-forge
jpeg 9c h470a237_1 conda-forge
jq 1.5 4 conda-forge
jq 0.1.6 <pip>
jsonschema 2.6.0 <pip>
jsonschema 2.6.0 py36_1002 conda-forge
jupyter_client 5.2.3 py36_0
jupyter_core 4.4.0 py36_0
keras 2.2.4 py36_0 conda-forge
keras-applications 1.0.4 py_1 conda-forge
keras-preprocessing 1.0.2 py_1 conda-forge
kiwisolver 1.0.1 py36hf484d3e_0
krb5 1.14.6 0 conda-forge
libboost 1.67.0 h46d08c1_4
libcurl 7.61.0 h1ad7b7a_0
libedit 3.1.20170329 h6b74fdf_2
libevent 2.1.8 h93c0eb6_0
libffi 3.2.1 hd88cf55_4
libgcc 7.2.0 h69d50b8_2 conda-forge
libgcc-ng 8.2.0 hdf63c60_1
libgfortran 3.0.0 1 conda-forge
libgfortran-ng 7.3.0 hdf63c60_0
libgpuarray 0.7.6 h470a237_3 conda-forge
libiconv 1.15 h470a237_3 conda-forge
libopenblas 0.3.3 h5a2b251_3
libpng 1.6.35 hbc83047_0
libprotobuf 3.6.1 hd28b015_0 conda-forge
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h9cfc8f7_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.9 he6b73bb_2 conda-forge
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxgboost 0.80 hfc679d8_1 conda-forge
libxml2 2.9.8 h26e45fe_1
lightgbm 2.2.1 py36hfc679d8_0 conda-forge
llvmlite 0.25.0 py36hd28b015_1 conda-forge
locket 0.2.0 py_2 conda-forge
loky 2.3.1 py_0 conda-forge
lz4-c 1.8.1.2 h14c3975_0
make 4.2.1 h1bed415_1
mako 1.0.7 py_1 conda-forge
markdown 2.6.11 py_0 conda-forge
markupsafe 1.0 py36h470a237_1 conda-forge
matplotlib 3.0.1 py36h5429711_0
matplotlib-base 3.0.0 py36hc039c98_2 conda-forge
mistune 0.8.4 py36h470a237_0 conda-forge
mkl 2019.0 118
mkl_fft 1.0.6 py36_0 conda-forge
mkl_random 1.0.1 py36_0 conda-forge
more-itertools 4.3.0 py36_1000 conda-forge
mpc 1.1.0 4 conda-forge
mpfr 3.1.5 0 conda-forge
msgpack-numpy 0.4.3.2 py36_0
msgpack-python 0.5.6 py36h6bb024c_1
multipledispatch 0.6.0 py_0 conda-forge
murmurhash 0.28.0 py36hfc679d8_0 conda-forge
nbconvert 5.3.1 py_1 conda-forge
nbformat 4.4.0 py_1 conda-forge
ncurses 6.1 hf484d3e_0
networkx 2.2 py_1 conda-forge
nltk 3.3.0 py36_0
notebook 5.7.0 py36_1000 conda-forge
numba 0.40.0 py36hf8a1672_0 conda-forge
numpy 1.15.3 py36h1d66e8a_0
numpy-base 1.15.3 py36h81de0dd_0
oniguruma 6.8.2 h470a237_1 conda-forge
openblas 0.3.3 ha44fe06_1 conda-forge
openssl 1.0.2p h14c3975_0
optunity 1.1.1 py36h7da2bbe_0 chubb-gregory_werbin
packaging 18.0 py_0 conda-forge
pandas 0.23.4 py36h04863e7_0
pandoc 2.3.1 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
pango 1.40.14 he752989_2 conda-forge
parquet-cpp 1.5.1 1 conda-forge
parso 0.3.1 py36_0
partd 0.3.9 py_0 conda-forge
patsy 0.5.0 py36_0
pcre 8.42 h439df22_0
pdbpp 0.9.1 py36_1 conda-forge
pexpect 4.6.0 py36_0
pickleshare 0.7.5 py36_0
pip 18.1 <pip>
pip 10.0.1 py36_0
pixman 0.34.0 h470a237_3 conda-forge
plac 0.9.6 py36_0
pluggy 0.8.0 py_0 conda-forge
polo 0.5 py36hd66caef_0 chubb-gregory_werbin
preshed 1.0.1 py36hfc679d8_0 conda-forge
prometheus_client 0.4.2 py_0 conda-forge
prompt_toolkit 2.0.6 py36_0
protobuf 3.6.1 py36hfc679d8_1 conda-forge
psutil 5.4.7 py36h470a237_1 conda-forge
ptyprocess 0.6.0 py36_0
pv 1.6.6 h470a237_0 conda-forge
py 1.7.0 py_0 conda-forge
py-boost 1.67.0 py36h04863e7_4
py-xgboost 0.80 py36hfc679d8_1 conda-forge
pyarrow 0.11.0 py36he6710b0_0
pycparser 2.19 py36_0
pygments 2.2.0 py36_0
pygpu 0.7.6 py36h7eb728f_0 conda-forge
pymongo 3.7.1 py36hfc679d8_0 conda-forge
pyopenssl 18.0.0 py36_0
pyparsing 2.2.2 py36_0
pyqt 5.9.2 py36h05f1152_2
pysocks 1.6.8 py36_0
pytest 3.9.1 py36_1000 conda-forge
python 3.6.6 h6e4f718_2
python-dateutil 2.7.3 py36_0
python-graphviz 0.8.4 py36_1
pytz 2018.5 py36_0
PyYAML 3.13 <pip>
pyyaml 3.13 py36h470a237_1 conda-forge
pyzmq 17.1.2 py36h14c3975_0
qt 5.9.6 h8703b6f_2
r 3.5.1 r351_0 conda-forge
r-assertthat 0.2.0 r351h6115d3f_1 conda-forge
r-base 3.5.1 h4fe35fd_1 conda-forge
r-bh 1.66.0_1 r351_1 conda-forge
r-bindr 0.1.1 r351h6115d3f_1 conda-forge
r-bindrcpp 0.2.2 r351h9d2a408_1 conda-forge
r-bit 1.1_12 r351h470a237_2 conda-forge
r-bit64 0.9_7 r351hc070d10_0 conda-forge
r-bitops 1.0_6 r351hc070d10_2 conda-forge
r-blob 1.1.1 r351_1 conda-forge
r-boot 1.3_20 r351_0 conda-forge
r-catools 1.17.1.1 r351h9d2a408_2 conda-forge
r-class 7.3_14 r351hc070d10_2 conda-forge
r-cli 1.0.0 r351h6115d3f_1 conda-forge
r-cluster 2.0.7_1 r351h364d78e_0 conda-forge
r-codetools 0.2_15 r351h6115d3f_1 conda-forge
r-colorspace 1.3_2 r351hc070d10_2 conda-forge
r-crayon 1.3.4 r351h6115d3f_1 conda-forge
r-dbi 1.0.0 r351h6115d3f_1 conda-forge
r-dbplyr 1.2.2 r351h6115d3f_1 conda-forge
r-dendextend 1.8.0 r351h6115d3f_1 conda-forge
r-deoptimr 1.0_8 r351h6115d3f_1 conda-forge
r-digest 0.6.18 r351hc070d10_0 conda-forge
r-diptest 0.75_7 r351hc070d10_1 conda-forge
r-dplyr 0.7.6 r351h9d2a408_1 conda-forge
r-fansi 0.3.0 r351hc070d10_0 conda-forge
r-flexmix 2.3_14 r351h6115d3f_1 conda-forge
r-foreach 1.4.4 r351h6115d3f_1 conda-forge
r-foreign 0.8_71 r351hc070d10_2 conda-forge
r-fpc 2.1_11.1 r351h6115d3f_1 conda-forge
r-gclus 1.3.1 r351h6115d3f_1 conda-forge
r-gdata 2.18.0 r351h6115d3f_1 conda-forge
r-ggplot2 3.0.0 r351h6115d3f_1 conda-forge
r-glue 1.3.0 r351h470a237_2 conda-forge
r-gplots 3.0.1 r351h6115d3f_1 conda-forge
r-gridextra 2.3 r351h6115d3f_1 conda-forge
r-gtable 0.2.0 r351h6115d3f_1 conda-forge
r-gtools 3.8.1 r351hc070d10_2 conda-forge
r-iterators 1.0.10 r351h6115d3f_1 conda-forge
r-kernlab 0.9_27 r351h9d2a408_0 conda-forge
r-kernsmooth 2.23_15 r351h364d78e_2 conda-forge
r-labeling 0.3 r351h6115d3f_1 conda-forge
r-lattice 0.20_35 r351hc070d10_0 conda-forge
r-lazyeval 0.2.1 r351hc070d10_2 conda-forge
r-magrittr 1.5 r351h6115d3f_1 conda-forge
r-mass 7.3_50 r351hc070d10_2 conda-forge
r-matrix 1.2_14 r351hc070d10_2 conda-forge
r-mclust 5.4.1 r351h364d78e_2 conda-forge
r-memoise 1.1.0 r351h6115d3f_1 conda-forge
r-mgcv 1.8_24 r351hc070d10_2 conda-forge
r-modeltools 0.2_22 r351h6115d3f_1 conda-forge
r-munsell 0.5.0 r351h6115d3f_1 conda-forge
r-mvtnorm 1.0_8 r351h364d78e_0 conda-forge
r-nlme 3.1_137 r351h364d78e_0 conda-forge
r-nnet 7.3_12 r351hc070d10_2 conda-forge
r-pillar 1.3.0 r351h6115d3f_0 conda-forge
r-pkgconfig 2.0.2 r351h6115d3f_1 conda-forge
r-plogr 0.2.0 r351h6115d3f_1 conda-forge
r-plyr 1.8.4 r351h9d2a408_2 conda-forge
r-prabclus 2.2_6 r351h6115d3f_1 conda-forge
r-prettyunits 1.0.2 r351h6115d3f_1 conda-forge
r-purrr 0.2.5 r351hc070d10_1 conda-forge
r-qap 0.1_1 r351h364d78e_2 conda-forge
r-r6 2.2.2 r351h6115d3f_1 conda-forge
r-rcolorbrewer 1.1_2 r351h6115d3f_1 conda-forge
r-rcpp 0.12.17 r351h9d2a408_2 conda-forge
r-recommended 3.5.1 r351_1 conda-forge
r-registry 0.5 r351h6115d3f_1 conda-forge
r-reshape2 1.4.3 r351h9d2a408_2 conda-forge
r-rlang 0.3.0 r351h470a237_0 conda-forge
r-robustbase 0.93_2 r351h364d78e_0 conda-forge
r-rpart 4.1_13 r351hc070d10_2 conda-forge
r-rsqlite 2.1.1 r351h9d2a408_0 conda-forge
r-scales 1.0.0 r351h9d2a408_1 conda-forge
r-seriation 1.2_3 r351h364d78e_1 conda-forge
r-spatial 7.3_11 r351hc070d10_2 conda-forge
r-stringi 1.2.4 r351h9d2a408_1 conda-forge
r-stringr 1.3.1 r351h6115d3f_1 conda-forge
r-survival 2.42_6 r351hc070d10_1 conda-forge
r-tibble 1.4.2 r351hc070d10_2 conda-forge
r-tidyselect 0.2.4 r351h9d2a408_2 conda-forge
r-trimcluster 0.1_2.1 r351h6115d3f_0 conda-forge
r-tsp 1.1_6 r351hc070d10_0 conda-forge
r-utf8 1.1.4 r351hc070d10_0 conda-forge
r-viridis 0.5.1 r351h6115d3f_1 conda-forge
r-viridislite 0.3.0 r351h6115d3f_1 conda-forge
r-whisker 0.3_2 r351h6115d3f_1 conda-forge
r-withr 2.1.2 r351h6115d3f_0 conda-forge
ratelimiter 1.2.0.post0 <pip>
readline 7.0 h7b6447c_5
regex 2017.11.09 py36_0 conda-forge
requests 2.19.1 py36_0
rpy2 2.9.4 py36r351h941a26a_1 conda-forge
s3transfer 0.1.13 py36_0
scikit-learn 0.20.0 py36h4989274_1
scikit-optimize 0.5.2 py_0 conda-forge
scipy 1.1.0 py36hfa4b5c9_1
send2trash 1.5.0 py_0 conda-forge
setuptools 40.4.3 py36_0
sigopt 3.5.0 py_0 conda-forge
simplegeneric 0.8.1 py36_2
sip 4.19.8 py36hf484d3e_0
six 1.11.0 py36_1
smart_open 1.7.1 py36_0
smmap2 2.0.5 <pip>
snakemake 5.3.0 <pip>
snappy 1.1.7 hbae5bb6_3
sortedcontainers 2.0.5 py_0 conda-forge
spacy 2.0.13 py36hf8a1672_0 conda-forge
sqlite 3.25.2 h7b6447c_0
statsmodels 0.9.0 py36h035aef0_0
tabulate 0.8.2 py_0 conda-forge
tblib 1.3.2 py_1 conda-forge
tensorboard 1.10.0 py36_0 conda-forge
tensorflow 1.10.0 py36_0 conda-forge
termcolor 1.1.0 py_2 conda-forge
terminado 0.8.1 py36_1001 conda-forge
testpath 0.4.2 py36_1000 conda-forge
theano 1.0.3 py36_0 conda-forge
thinc 6.10.3 py36hf8a1672_3 conda-forge
thrift 0.11.0 py36hfc679d8_1 conda-forge
thrift-cpp 0.11.0 hc04171f_3
tk 8.6.8 hbc83047_0
tktable 2.10 h14c3975_0
toolz 0.9.0 py36_0
tornado 5.1.1 py36h7b6447c_0
tqdm 4.27.0 pyha03479a_0 chubb-gregory_werbin
traitlets 4.3.2 py36_0
tts-classification 0.0.0 <pip>
tzlocal 1.5.1 py_0 conda-forge
ujson 1.35 py36h14c3975_0
urllib3 1.23 py36_0
wcwidth 0.1.7 py36_0
webencodings 0.5.1 py_1 conda-forge
werkzeug 0.14.1 py_0 conda-forge
wheel 0.32.1 py36_0
widgetsnbextension 3.4.2 py36_1000 conda-forge
wmctrl 0.3 py36_1001 conda-forge
wrapt 1.10.11 py36h14c3975_2
xgboost 0.80 py36hfc679d8_1 conda-forge
xlrd 1.1.0 py36_1
xorg-kbproto 1.0.7 h470a237_2 conda-forge
xorg-libice 1.0.9 h470a237_4 conda-forge
xorg-libsm 1.2.2 h470a237_5 conda-forge
xorg-libx11 1.6.6 h470a237_0 conda-forge
xorg-libxdmcp 1.1.2 h470a237_7 conda-forge
xorg-libxext 1.3.3 h470a237_4 conda-forge
xorg-libxpm 3.5.12 h470a237_2 conda-forge
xorg-libxrender 0.9.10 h470a237_2 conda-forge
xorg-libxt 1.1.5 h470a237_2 conda-forge
xorg-renderproto 0.11.1 h470a237_2 conda-forge
xorg-xextproto 7.3.0 h470a237_2 conda-forge
xorg-xproto 7.0.31 h470a237_7 conda-forge
xz 5.2.4 h14c3975_4
yaml 0.1.7 h470a237_1 conda-forge
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py_0 conda-forge
zlib 1.2.11 ha838bed_2
zstd 1.3.3 h84994c4_0
conda
and system ( conda info
):
$ conda info
active environment : /opt/app/data/home_extenstion/gregory-werbin/projects/tts-classification/conda-env
active env location : /opt/app/data/home_extenstion/gregory-werbin/projects/tts-classification/conda-env
shell level : 1
user config file : /opt/data/home_extenstion/gregory-werbin/.condarc
populated config files : /opt/data/home_extenstion/gregory-werbin/.condarc
conda version : 4.5.11
conda-build version : 3.16.2
python version : 3.7.0.final.0
base environment : /opt/data/home_extenstion/gregory-werbin/.local/pyenv/versions/miniconda3-latest (writable)
channel URLs : https://conda.anaconda.org/chubb-gregory_werbin/linux-64
https://conda.anaconda.org/chubb-gregory_werbin/noarch
https://conda.anaconda.org/gwerbin/linux-64
https://conda.anaconda.org/gwerbin/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
package cache : /opt/data/home_extenstion/gregory-werbin/.local/pyenv/versions/miniconda3-latest/pkgs
/opt/data/home_extenstion/gregory-werbin/.conda/pkgs
envs directories : /opt/data/home_extenstion/gregory-werbin/.local/pyenv/versions/miniconda3-latest/envs
/opt/data/home_extenstion/gregory-werbin/.conda/envs
platform : linux-64
user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/3.10.0-514.26.2.el7.x86_64 rhel/7.3 glibc/2.17
UID:GID : 51757:51714
netrc file : /opt/data/home_extenstion/gregory-werbin/.netrc
offline mode : False
@isuruf commented on Wed Jan 04 2017
Since conda has vc features, it's fine to have system layout instead of appending the compiler version in the dll names.
(One advantage would be that cmake's FindBoost.cmake script will be able to find newer boost libraries without requiring patches like, conda-forge/cmake-feedstock#29)
@jakirkham commented on Sun Jan 22 2017
Should this be moved to boost-cpp?
@isuruf commented on Sun Jan 22 2017
Yes.
This is just for testing!
The log length has exceeded the limit of 4 MB (this usually means that the test suite is raising the same exception over and over).
The job has been terminated
However, it seems that the file is correctly uploaded.
Issue:
Building a package via cmake which use boost with static libs issue a linker error like LINK : fatal error LNK1104: cannot open file 'boost_system.lib'
, while the Linker section of VS project file reference "C:\Users\argl\Documents\coding\minimal_boost\builds\minimal-boost_1531237067460\_h_env\Library\lib\libboost_system.lib"
This issue seems to come up since boost package version 1.66 build 1 (since the new name scheme for boost libs was introduced).
You will find a minimal package example attached.
To clearify, my bld.bat called cmake like following:
cmake .. -G "Visual Studio 14 2015 Win64" ^
-DCMAKE_INSTALL_PREFIX=%LIBRARY_PREFIX% ^
-DCMAKE_PREFIX_PATH=%LIBRARY_PREFIX% ^
-DBoost_USE_STATIC_LIBS=ON
This results in the linker error mentioned above.
If you will set DBoost_USE_STATIC_LIBS
to OFF
all is fine, but to use dynamic libs is not my use case.
The following NEW packages will be INSTALLED:
blas: 1.1-openblas conda-forge
boost: 1.67.0-py36_vc14_0 conda-forge [vc14 ]
boost-cpp: 1.67.0-vc14_0 conda-forge [vc14 ]
certifi: 2018.4.16-py36_0 conda-forge
cmake: 3.11.4-0 conda-forge
icc_rt: 2017.0.4-h97af966_0
intel-openmp: 2018.0.3-0
libflang: 5.0.0-vc14_20180208 conda-forge [vc14 ]
llvm-meta: 5.0.0-0 conda-forge
mkl: 2018.0.3-1
mkl_fft: 1.0.2-py36_0 conda-forge
mkl_random: 1.0.1-py36_0 conda-forge
numpy: 1.14.3-py36_blas_openblas_200 conda-forge [blas_openblas]
numpy-base: 1.14.3-py36h5c71026_0
openblas: 0.2.20-vc14_8 conda-forge [vc14 ]
openmp: 5.0.0-vc14_1 conda-forge [vc14 ]
pip: 9.0.3-py36_0 conda-forge
python: 3.6.5-1 conda-forge
setuptools: 40.0.0-py36_0 conda-forge
vc: 14-0 conda-forge
vs2015_runtime: 14.0.25420-0 conda-forge
wheel: 0.31.1-py36_0 conda-forge
wincertstore: 0.2-py36_1 conda-forge
zlib: 1.2.11-vc14_0 conda-forge [vc14 ]
conda
and system ( conda info
):
I think that the problem is related to this: conda
solver is unable to prune versions, because it won't find a satisfiable boost-cpp
version.
Things needed to reproduce the problem are here:
https://gist.github.com/tadeu/49c6de435dae6764f6616eb10efde2a4
(this could also be a conda
problem, instead of a particular problem in boost-cpp
)
The diff for conda env update --debug
, with both Boost versions, is here:
Note that around line 563, it prunes all boost-cpp
down to 0
DEBUG conda.resolve:filter_group(400): boost: pruned from 122 -> 1
DEBUG conda.resolve:filter_group(400): boost-cpp: pruned from 39 -> 0
Issue:
When using boost-cpp as a dependency here, I get strange linker errors like:
radolan2shapefile.cpp:(.text._ZNK5boost15program_options11typed_valueINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcE4nameEv[_ZNK5boost15program_options11typed_valueINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcE4nameEv]+0x38):
undefined reference to `boost::program_options::arg[abi:cxx11]'
When using boost-cpp 1.69.0 it compiles and linkes OK. Any help appreciated.
conda list
):
See logs in PR
conda
and system ( conda info
):
See logs in PR.
@conda-forge-admin, please re-render.
@jschueller @msarahan @xhochy
Issue:
When I try to update environment containing boost-cpp=1.70.0 with conda update --all it resolves like this:
## Package Plan ##
The following packages will be SUPERSEDED by a higher-priority channel:
blas pkgs/main --> conda-forge
The following packages will be DOWNGRADED:
boost-cpp 1.70.0-h6a4c333_0 --> 1.69.0-h6a4c333_
1000
I found out this issue while trying to update to pyarrow=0.14.0
conda-forge/pyarrow-feedstock#81
Environment (conda list
):
# packages in environment at C:\Users\user\AppData\Local\Continuum\miniconda3\envs\cyclone:
#
# Name Version Build Channel
_py-xgboost-mutex 2.0 cpu_0
asn1crypto 0.24.0 py37_1003 conda-forge
atomicwrites 1.3.0 py_0 conda-forge
attrs 19.1.0 py_0 conda-forge
backcall 0.1.0 py_0 conda-forge
blas 1.0 mkl
bleach 3.1.0 py_0 conda-forge
bokeh 1.2.0 py37_0 conda-forge
boost-cpp 1.70.0 h6a4c333_0 conda-forge
boto 2.49.0 py_0 conda-forge
boto3 1.9.185 py_0 conda-forge
botocore 1.12.185 py_0 conda-forge
brotli 1.0.7 he025d50_1000 conda-forge
bz2file 0.98 py_0 conda-forge
c-ares 1.15.0 h2fa13f4_1001 conda-forge
ca-certificates 2019.6.16 hecc5488_0 conda-forge
catboost 0.15.2 py37_0 conda-forge
certifi 2019.6.16 py37_0 conda-forge
cffi 1.12.3 py37hb32ad35_0 conda-forge
chardet 3.0.4 py37_1003 conda-forge
click 7.0 py_0 conda-forge
cloudpickle 1.2.1 py_0 conda-forge
colorama 0.4.1 py_0 conda-forge
cryptography 2.7 py37hb32ad35_0 conda-forge
cx_oracle 7.2.0 py37h2fa13f4_0 conda-forge
cycler 0.10.0 py_1 conda-forge
cytoolz 0.9.0.1 py37hfa6e2cd_1001 conda-forge
dask 2.1.0 py_0 conda-forge
dask-core 2.1.0 py_0 conda-forge
decorator 4.4.0 py_0 conda-forge
defusedxml 0.5.0 py_1 conda-forge
distributed 2.1.0 py_0 conda-forge
docutils 0.14 py37_1001 conda-forge
double-conversion 3.1.5 h6538335_1 conda-forge
entrypoints 0.3 py37_1000 conda-forge
fastparquet 0.3.1 py37hfa6e2cd_1 conda-forge
featuretools 0.9.1 py_0 conda-forge
freetype 2.10.0 h5db478b_0 conda-forge
funcsigs 1.0.2 py_3 conda-forge
future 0.17.1 py37_1000 conda-forge
gflags 2.2.2 he025d50_1001 conda-forge
glog 0.4.0 he025d50_1 conda-forge
graphviz 2.38.0 h6538335_1011 conda-forge
grpc-cpp 1.22.0 h4d7d3fa_0 conda-forge
heapdict 1.0.0 py37_1000 conda-forge
hyperopt 0.1.2 py_0 conda-forge
icc_rt 2019.0.0 h0cc432a_1
icu 58.1 vc14_0 conda-forge
idna 2.8 py37_1000 conda-forge
imageio 2.5.0 py37_0 conda-forge
importlib_metadata 0.18 py37_0 conda-forge
intel-openmp 2019.4 245
ipykernel 5.1.1 py37h39e3cac_0 conda-forge
ipython 7.6.1 py37h5ca1d4c_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.14.0 py37_0 conda-forge
jinja2 2.10.1 py_0 conda-forge
jmespath 0.9.4 py_0 conda-forge
joblib 0.13.2 py_0 conda-forge
jpeg 9c hfa6e2cd_1001 conda-forge
json5 0.8.5 py_0 conda-forge
jsonschema 3.0.1 py37_0 conda-forge
jupyter_client 5.3.1 py_0 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
jupyterlab 1.0.2 py37_0 conda-forge
jupyterlab_server 1.0.0 py_1 conda-forge
kiwisolver 1.1.0 py37he980bc4_0 conda-forge
libblas 3.8.0 8_mkl conda-forge
libcblas 3.8.0 8_mkl conda-forge
libpng 1.6.37 h7602738_0 conda-forge
libprotobuf 3.8.0 h1a1b453_0 conda-forge
libsodium 1.0.16 h2fa13f4_1001 conda-forge
libtiff 4.0.10 h6512ee2_1003 conda-forge
libxgboost 0.90 0
llvmlite 0.29.0 py37hed17590_1 conda-forge
locket 0.2.0 py_2 conda-forge
lz4-c 1.8.3 he025d50_1001 conda-forge
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.1 py37hfa6e2cd_0 conda-forge
matplotlib 3.1.1 py37_0 conda-forge
matplotlib-base 3.1.1 py37h2852a4a_0 conda-forge
mistune 0.8.4 py37hfa6e2cd_1000 conda-forge
mkl 2019.4 245
mkl_fft 1.0.13 py37hfa6e2cd_1 conda-forge
mkl_random 1.0.4 py37h830ac7b_0 conda-forge
more-itertools 7.1.0 py_0 conda-forge
msgpack-python 0.6.1 py37he980bc4_0 conda-forge
msys2-conda-epoch 20160418 1
nbconvert 5.5.0 py_0 conda-forge
nbformat 4.4.0 py_1 conda-forge
networkx 2.3 py_0 conda-forge
notebook 5.7.8 py37_1 conda-forge
numba 0.44.1 py37hf9181ef_0
numpy 1.16.4 py37h19fb1c0_0
numpy-base 1.16.4 py37hc3f5095_0
olefile 0.46 py_0 conda-forge
openssl 1.1.1b hfa6e2cd_2 conda-forge
packaging 19.0 py_0 conda-forge
pandas 0.24.2 py37he350917_0 conda-forge
pandoc 2.7.3 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.5.0 py_0 conda-forge
partd 1.0.0 py_0 conda-forge
patsy 0.5.1 py_0 conda-forge
pickleshare 0.7.5 py37_1000 conda-forge
pillow 6.1.0 py37h9a613e6_0 conda-forge
pip 19.1.1 py37_0 conda-forge
pluggy 0.12.0 py_0 conda-forge
prometheus_client 0.7.1 py_0 conda-forge
prompt_toolkit 2.0.9 py_0 conda-forge
psutil 5.6.3 py37hfa6e2cd_0 conda-forge
py 1.8.0 py_0 conda-forge
py-xgboost 0.90 py37_0
pycparser 2.19 py37_1 conda-forge
pygments 2.4.2 py_0 conda-forge
pymongo 3.8.0 py37h6538335_0 conda-forge
pyodbc 4.0.26 py37h6538335_0 conda-forge
pyopenssl 19.0.0 py37_0 conda-forge
pyparsing 2.4.0 py_0 conda-forge
pyqt 5.9.2 py37h6538335_0 conda-forge
pyrsistent 0.15.3 py37hfa6e2cd_0 conda-forge
pysocks 1.7.0 py37_0 conda-forge
pytest 5.0.1 py37_0 conda-forge
python 3.7.3 h510b542_1 conda-forge
python-dateutil 2.8.0 py_0 conda-forge
python-graphviz 0.11.1 py_0 conda-forge
python-snappy 0.5.4 py37hd25c944_0 conda-forge
pytz 2019.1 py_0 conda-forge
pywavelets 1.0.3 py37h452e1ab_1 conda-forge
pywin32 224 py37hfa6e2cd_1000 conda-forge
pywinpty 0.5.5 py37_1000 conda-forge
pyyaml 5.1.1 py37hfa6e2cd_0 conda-forge
pyzmq 18.0.2 py37he7828b0_0 conda-forge
qt 5.9.7 hc6833c9_1 conda-forge
re2 2019.07.01 vc14h6538335_0 [vc14] conda-forge
requests 2.22.0 py37_0 conda-forge
s3fs 0.2.2 py_0 conda-forge
s3transfer 0.2.1 py37_0 conda-forge
scikit-image 0.15.0 py37he350917_2 conda-forge
scikit-learn 0.21.2 py37h7208079_1 conda-forge
scipy 1.2.1 py37h29ff71c_0
seaborn 0.9.0 py_1 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 41.0.1 py37_0 conda-forge
shap 0.29.3 py37he350917_0 conda-forge
sip 4.19.8 py37h6538335_1000 conda-forge
six 1.12.0 py37_1000 conda-forge
smart_open 1.8.4 py_0 conda-forge
snappy 1.1.7 h6538335_1002 conda-forge
sortedcontainers 2.1.0 py_0 conda-forge
sqlalchemy 1.3.5 py37hfa6e2cd_0 conda-forge
sqlite 3.28.0 hfa6e2cd_1 conda-forge
statsmodels 0.10.0 py37hfa6e2cd_0 conda-forge
tblib 1.4.0 py_0 conda-forge
terminado 0.8.2 py37_0 conda-forge
testpath 0.4.2 py_1001 conda-forge
thrift 0.11.0 py37h6538335_1001 conda-forge
tk 8.6.9 hfa6e2cd_1002 conda-forge
toolz 0.9.0 py_1 conda-forge
tornado 6.0.3 py37hfa6e2cd_0 conda-forge
tqdm 4.32.2 py_0 conda-forge
traitlets 4.3.2 py37_1000 conda-forge
uriparser 0.9.3 he025d50_1 conda-forge
urllib3 1.24.3 py37_0 conda-forge
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_4
wcwidth 0.1.7 py_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.33.4 py37_0 conda-forge
win_inet_pton 1.1.0 py37_0 conda-forge
wincertstore 0.2 py37_1002 conda-forge
winpty 0.4.3 4 conda-forge
xlrd 1.2.0 py_0 conda-forge
xlsxwriter 1.1.8 py_0 conda-forge
xlwt 1.3.0 py_1 conda-forge
xz 5.2.4 h2fa13f4_1001 conda-forge
yaml 0.1.7 hfa6e2cd_1001 conda-forge
zeromq 4.3.1 he025d50_1000 conda-forge
zict 1.0.0 py_0 conda-forge
zipp 0.5.1 py_0 conda-forge
zlib 1.2.11 h2fa13f4_1004 conda-forge
zstd 1.4.0 hd8a0e53_0 conda-forge
conda
and system ( conda info
):
active environment : cyclone
active env location : C:\Users\user\AppData\Local\Continuum\miniconda3\envs\cyclone
shell level : 2
user config file : C:\Users\user\.condarc
populated config files : C:\Users\user\.condarc
conda version : 4.6.14
conda-build version : not installed
python version : 3.7.3.final.0
base environment : C:\Users\user\AppData\Local\Continuum\miniconda3
(writable)
channel URLs : https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\user\AppData\Local\Continuum\miniconda3\pkgs
C:\Users\user\.conda\pkgs
C:\Users\user\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\user\AppData\Local\Continuum\miniconda3\envs
C:\Users\user\.conda\envs
C:\Users\user\AppData\Local\conda\conda\envs
platform : win-64
user-agent : conda/4.6.14 requests/2.22.0 CPython/3.7.3 Windows/7 Windows/6.1.7601
administrator : False
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offline mode : False
I am wondering whether there could be a boost-cpp package variant that only contains the binary library files and leaves out the header files. The use case for this would be a downstream binary package linking to boost libraries contained in this package.
A boost-cpp
package without the header files would currently leave out some 13000 files, making for a much faster installation, and reduce the package size by about 75%.
I do not consider myself a C++ developer, so if I fundamentally misunderstood how boost-cpp is intended to work then please correct me ๐
Hi guys, I installed boost-cpp 1.67.0
from conda-forge
and tried to link boost with my project and it's giving me some errors, such as:
libmyproject.so: undefined reference to `boost::match_results<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<boost::sub_match<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > >::maybe_assign(boost::match_results<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<boost::sub_match<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > > const&)'
libmyproject.so: undefined reference to `boost::re_detail_106700::cpp_regex_traits_implementation<char>::transform[abi:cxx11](char const*, char const*) const'
libmyproject.so: undefined reference to `boost::re_detail_106700::cpp_regex_traits_implementation<char>::transform_primary[abi:cxx11](char const*, char const*) const'
libmyproject.so: undefined reference to `boost::re_detail_106700::perl_matcher<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<boost::sub_match<__gnu_cxx::__normal_iterator<char const*, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >, boost::regex_traits<char, boost::cpp_regex_traits<char> > >::construct_init(boost::basic_regex<char, boost::regex_traits<char, boost::cpp_regex_traits<char> > > const&, boost::regex_constants::_match_flags)'
I'm using the same gcc version (7.2.0)
Hello,
First, thank you for maintaining this feedstock and distributing this major dependency! ๐ค
I am proposing updating folly's feedstock to package a shared library for Windows with conda-forge/folly-feedstock#115.
I am currently meeting this error when folly's DLL is being linked against boost (backed here by boost-cpp
):
[300/307] Linking CXX shared library folly.dll
FAILED: folly.dll folly.lib
cmd.exe /C "cmd.exe /C "%BUILD_PREFIX%\Library\bin\cmake.exe -E __create_def %SRC_DIR%\CMakeFiles\folly.dir\.\exports.def %SRC_DIR%\CMakeFiles\folly.dir\.\exports.def.objs && cd %SRC_DIR%" && %BUILD_PREFIX%\Library\bin\cmake.exe -E vs_link_dll --intdir=CMakeFiles\folly.dir --rc=C:\PROGRA~2\WI3CF2~1\10\bin\100226~1.0\x64\rc.exe --mt=C:\PROGRA~2\WI3CF2~1\10\bin\100226~1.0\x64\mt.exe --manifests -- C:\PROGRA~1\MICROS~2\2022\ENTERP~1\VC\Tools\MSVC\1429~1.301\bin\HostX64\x64\link.exe /nologo @CMakeFiles\folly.rsp /out:folly.dll /implib:folly.lib /pdb:folly.pdb /dll /version:0.58 /machine:x64 /debug /INCREMENTAL /DEF:CMakeFiles\folly.dir\.\exports.def && cd ."
LINK Pass 1: command "C:\PROGRA~1\MICROS~2\2022\ENTERP~1\VC\Tools\MSVC\1429~1.301\bin\HostX64\x64\link.exe /nologo @CMakeFiles\folly.rsp /out:folly.dll /implib:folly.lib /pdb:folly.pdb /dll /version:0.58 /machine:x64 /debug /INCREMENTAL /DEF:CMakeFiles\folly.dir\.\exports.def /MANIFEST /MANIFESTFILE:CMakeFiles\folly.dir/intermediate.manifest CMakeFiles\folly.dir/manifest.res" failed (exit code 1120) with the following output:
Creating library folly.lib and object folly.exp
NestedCommandLineApp.cpp.obj : error LNK2001: unresolved external symbol "public: static unsigned int const boost::program_options::options_description::m_default_line_length" (?m_default_line_length@options_description@program_options@boost@@2IB)
ProgramOptions.cpp.obj : error LNK2001: unresolved external symbol "public: static unsigned int const boost::program_options::options_description::m_default_line_length" (?m_default_line_length@options_description@program_options@boost@@2IB)
I guess those symbol need to be exposed (since they are qualified as public
).
What do you think? Must these symbols be exposed? If so, are there some options to set for the bootstrapping scripts or some patches to apply to boost on this feedstock?
Thank you for your help!
Currently the MPI headers are getting packaged in boost-cpp
. However these should be in libboost-mpi
( conda-forge/libboost-mpi-feedstock#9 ). These should be dropped from boost-cpp
and libboost-mpi
rebuilt.
BOOST releases a new minor version about three times each year. Each version brings a new ABI and is not compatible with older releases.
In the current scheme, that means that packages linking against libboost*
can only be installed into the same environment if they were built no more than 4 months apart!
There are a few options out of this dilemma:
libboostX.Y
packages using outputs:
and use CB3 to push it into the run dependencies if libboost-dev
is used in the host dependencies.I'd prefer 3 as it allows co-installing software long term without constant rebuilds, but benefits from DLL space savings and updating.
Incidentally - it might be worthwhile to also build individual packages for each boost library. Or at least split out the larger ones. The whole thing is quite larger, after all.
Issue: When using CMake, I'm unable to link against a shared library variant of the unit test framework for 1.70.0. I believe I am able to link against a shared library variant for 1.69.0. CMake also finds the static variant. CMake is using 3.15.0.
Environment (conda list
):
Broken Environment (boost 1.70.0):
$ conda list
# packages in environment at /home/travis/miniconda/envs/test-environment:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
binutils 1.0.1 0 conda-forge
binutils_impl_linux-64 2.31.1 h6176602_1
binutils_linux-64 2.31.1 h6176602_7
boost 1.70.0 py36h9de70de_1 conda-forge
boost-cpp 1.70.0 h8e57a91_2 conda-forge
bzip2 1.0.8 h516909a_0 conda-forge
c-compiler 1.0.1 h14c3975_0 conda-forge
ca-certificates 2019.6.16 hecc5488_0 conda-forge
certifi 2019.6.16 py36_1 conda-forge
cmake 3.15.0 hf94ab9c_0 conda-forge
compilers 1.0.1 0 conda-forge
curl 7.65.3 hf8cf82a_0 conda-forge
cxx-compiler 1.0.1 h6bb024c_0 conda-forge
eigen 3.2.8 2 conda-forge
expat 2.2.5 he1b5a44_1003 conda-forge
fftw 3.3.8 nompi_h7f3a6c3_1106 conda-forge
fortran-compiler 1.0.1 h0e1e685_0 conda-forge
gcc_impl_linux-64 7.3.0 habb00fd_1 conda-forge
gcc_linux-64 7.3.0 h553295d_7 conda-forge
gfortran_impl_linux-64 7.3.0 hdf63c60_1
gfortran_linux-64 7.3.0 h553295d_7
gxx_impl_linux-64 7.3.0 hdf63c60_1 conda-forge
gxx_linux-64 7.3.0 h553295d_7 conda-forge
icu 64.2 he1b5a44_0 conda-forge
krb5 1.16.3 h05b26f9_1001 conda-forge
libblas 3.8.0 10_openblas conda-forge
libcblas 3.8.0 10_openblas conda-forge
libcurl 7.65.3 hda55be3_0 conda-forge
libedit 3.1.20170329 hf8c457e_1001 conda-forge
libffi 3.2.1 he1b5a44_1006 conda-forge
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
liblapack 3.8.0 10_openblas conda-forge
libopenblas 0.3.6 h6e990d7_5 conda-forge
libssh2 1.8.2 h22169c7_2 conda-forge
libstdcxx-ng 9.1.0 hdf63c60_0
libuv 1.30.1 h516909a_0 conda-forge
ncurses 6.1 hf484d3e_1002 conda-forge
numpy 1.16.4 py36h95a1406_0 conda-forge
openblas 0.3.6 h6e990d7_5 conda-forge
openssl 1.1.1c h516909a_0 conda-forge
pcre 8.41 hf484d3e_1003 conda-forge
pip 19.2.1 py36_0 conda-forge
pybind11 2.2.4 py36hc9558a2_1001 conda-forge
python 3.6.7 h357f687_1005 conda-forge
readline 8.0 hf8c457e_0 conda-forge
rhash 1.3.6 h14c3975_1001 conda-forge
setuptools 41.0.1 py36_0 conda-forge
sqlite 3.29.0 hcee41ef_0 conda-forge
swig 4.0.0 he1b5a44_0 conda-forge
tk 8.6.9 hed695b0_1002 conda-forge
wheel 0.33.4 py36_0 conda-forge
xz 5.2.4 h14c3975_1001 conda-forge
zlib 1.2.11 h516909a_1005 conda-forge
CMake Output w.r.t. unit_test_framework
with this environment:
-- Found Boost 1.70.0 at /home/travis/miniconda/envs/test-environment/lib/cmake/Boost-1.70.0
-- Requested configuration: QUIET REQUIRED COMPONENTS unit_test_framework
-- Found boost_headers 1.70.0 at /home/travis/miniconda/envs/test-environment/lib/cmake/boost_headers-1.70.0
-- Found boost_unit_test_framework 1.70.0 at /home/travis/miniconda/envs/test-environment/lib/cmake/boost_unit_test_framework-1.70.0
-- libboost_unit_test_framework.a
-- Adding boost_unit_test_framework dependencies: headers
Working Environment:
$ conda list
# packages in environment at /home/travis/miniconda/envs/test-environment:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
binutils 1.0.1 0 conda-forge
binutils_impl_linux-64 2.31.1 h6176602_1
binutils_linux-64 2.31.1 h6176602_7
boost 1.69.0 py37h8619c78_1001 conda-forge
boost-cpp 1.69.0 ha2d47e9_1001 conda-forge
bzip2 1.0.8 h516909a_0 conda-forge
c-compiler 1.0.1 h14c3975_0 conda-forge
ca-certificates 2019.6.16 hecc5488_0 conda-forge
certifi 2019.6.16 py37_1 conda-forge
cmake 3.15.0 hf94ab9c_0 conda-forge
compilers 1.0.1 0 conda-forge
curl 7.65.3 hf8cf82a_0 conda-forge
cxx-compiler 1.0.1 h6bb024c_0 conda-forge
eigen 3.2.8 2 conda-forge
expat 2.2.5 he1b5a44_1003 conda-forge
fftw 3.3.8 nompi_h7f3a6c3_1106 conda-forge
fortran-compiler 1.0.1 h0e1e685_0 conda-forge
gcc_impl_linux-64 7.3.0 habb00fd_1 conda-forge
gcc_linux-64 7.3.0 h553295d_7 conda-forge
gfortran_impl_linux-64 7.3.0 hdf63c60_1
gfortran_linux-64 7.3.0 h553295d_7
gxx_impl_linux-64 7.3.0 hdf63c60_1 conda-forge
gxx_linux-64 7.3.0 h553295d_7 conda-forge
icu 58.2 hf484d3e_1000 conda-forge
krb5 1.16.3 h05b26f9_1001 conda-forge
libblas 3.8.0 10_openblas conda-forge
libcblas 3.8.0 10_openblas conda-forge
libcurl 7.65.3 hda55be3_0 conda-forge
libedit 3.1.20170329 hf8c457e_1001 conda-forge
libffi 3.2.1 he1b5a44_1006 conda-forge
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
liblapack 3.8.0 10_openblas conda-forge
libopenblas 0.3.6 h6e990d7_5 conda-forge
libssh2 1.8.2 h22169c7_2 conda-forge
libstdcxx-ng 9.1.0 hdf63c60_0
libuv 1.30.1 h516909a_0 conda-forge
ncurses 6.1 hf484d3e_1002 conda-forge
numpy 1.16.4 py37h95a1406_0 conda-forge
openblas 0.3.6 h6e990d7_5 conda-forge
openssl 1.1.1c h516909a_0 conda-forge
pcre 8.41 hf484d3e_1003 conda-forge
pip 19.2.1 py37_0 conda-forge
pybind11 2.2.4 py37hc9558a2_1001 conda-forge
python 3.7.3 h33d41f4_1 conda-forge
readline 8.0 hf8c457e_0 conda-forge
rhash 1.3.6 h14c3975_1001 conda-forge
setuptools 41.0.1 py37_0 conda-forge
sqlite 3.29.0 hcee41ef_0 conda-forge
swig 4.0.0 he1b5a44_0 conda-forge
tk 8.6.9 hed695b0_1002 conda-forge
wheel 0.33.4 py37_0 conda-forge
xz 5.2.4 h14c3975_1001 conda-forge
zlib 1.2.11 h516909a_1005 conda-forge
CMake Output w.r.t. unit_test_framework
with this environment:
-- Found Boost: /home/travis/miniconda/envs/test-environment/include (found version "1.69.0") found components: unit_test_framework
conda
and system ( conda info
):
Boost.MPI is currently disabled in the current package. I'd like to add MPI variants of the boost-cpp
package -I am currently maintaining my own builds.
mpi:
- nompi
- mpich # [unix]
- openmpi # [unix]
pin_run_as_build:
mpich: x.x
openmpi: x.x
Would that work for you?
Issue:
If one creates an environment with boost-cpp and the dev dependencies:
conda create -n boost-cpp boost-cpp compilers cmake pkg-config
And in this environment it configures a CMake project such as:
cmake_minimum_required(VERSION 3.2)
project(boost_mre)
find_package(Boost CONFIG REQUIRED)
The configuration fails with the error:
(boost-cpp) straversaro@IITICUBLAP102:~/boost_find_package_mre/build$ cmake ..
CMake Warning (dev) at /home/straversaro/mambaforge/envs/boost-cpp/lib/cmake/Boost-1.76.0/BoostConfig.cmake:240 (if):
Policy CMP0057 is not set: Support new IN_LIST if() operator. Run "cmake
--help-policy CMP0057" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
IN_LIST will be interpreted as an operator when the policy is set to NEW.
Since the policy is not set the OLD behavior will be used.
Call Stack (most recent call first):
CMakeLists.txt:6 (find_package)
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Error at /home/straversaro/mambaforge/envs/boost-cpp/lib/cmake/Boost-1.76.0/BoostConfig.cmake:240 (if):
if given arguments:
"ALL" "IN_LIST" "Boost_FIND_COMPONENTS"
Unknown arguments specified
Call Stack (most recent call first):
CMakeLists.txt:6 (find_package)
-- Configuring incomplete, errors occurred!
See also "/home/straversaro/boost_find_package_mre/build/CMakeFiles/CMakeOutput.log".
The problem is due to the fact that the BoostConfig.cmake
file strongly assumes that the IN_LIST
operator is available in CMake, so implicitly assuming that CMP0057
is set to ON
. This is true if cmake_minimum_required
is at least 3.3, or if one calls find_package(Boost REQUIRED)
without CONFIG
or NO_MODULE
options, as that will result in CMake's FindBoost
being called, that sets CMP0057 to ON in https://github.com/Kitware/CMake/blob/v3.21.0/Modules/FindBoost.cmake#L594 .
However, if one has a project in which cmake_minimum_required
is <= 3.2 and find_package(Boost CONFIG)
or find_package(Boost NO_MODULE)
is invoked, it will fail with the error reported earlier in this issue.
This can be fixed by patching (eventually even upstream) the BoostConfig.cmake
file to also enable explicitly CMP0057 as done in FindBoost.cmake
module. However, in practice just bumping the cmake_minimum_required
to 3.3 (CMake 3.3 was released in July 2015, ~ 6 years ago) or avoiding to use find_package(Boost CONFIG)
will be sufficient to avoid this problem. For this reason, I do not plan to patch the feedstock, but I wanted to open an issue to clearly describe the problem if anyone was encountering it. However, if anyone is interested in patching Boost to fix the problem I would be happy to help.
conda list
):
$ conda list
(boost-cpp) straversaro@IITICUBLAP102:~/boost_find_package_mre/build$ conda list
# packages in environment at /home/straversaro/mambaforge/envs/boost-cpp:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
binutils 2.36.1 hdd6e379_1 conda-forge
binutils_impl_linux-64 2.36.1 h193b22a_1 conda-forge
binutils_linux-64 2.36 hf3e587d_32 conda-forge
boost-cpp 1.76.0 h312852a_1 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.17.1 h7f98852_1 conda-forge
c-compiler 1.2.0 h7f98852_0 conda-forge
ca-certificates 2021.5.30 ha878542_0 conda-forge
cmake 3.21.0 h8897547_0 conda-forge
compilers 1.2.0 ha770c72_0 conda-forge
cxx-compiler 1.2.0 h4bd325d_0 conda-forge
expat 2.4.1 h9c3ff4c_0 conda-forge
fortran-compiler 1.2.0 h1990efc_0 conda-forge
gcc_impl_linux-64 9.3.0 h70c0ae5_19 conda-forge
gcc_linux-64 9.3.0 hf25ea35_32 conda-forge
gfortran_impl_linux-64 9.3.0 hc4a2995_19 conda-forge
gfortran_linux-64 9.3.0 hdc58fab_32 conda-forge
gxx_impl_linux-64 9.3.0 hd87eabc_19 conda-forge
gxx_linux-64 9.3.0 h3fbe746_32 conda-forge
icu 68.1 h58526e2_0 conda-forge
kernel-headers_linux-64 2.6.32 h77966d4_13 conda-forge
krb5 1.19.1 hcc1bbae_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_1 conda-forge
libcurl 7.77.0 h2574ce0_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libgcc-devel_linux-64 9.3.0 h7864c58_19 conda-forge
libgcc-ng 9.3.0 h2828fa1_19 conda-forge
libgfortran-ng 9.3.0 hff62375_19 conda-forge
libgfortran5 9.3.0 hff62375_19 conda-forge
libgomp 9.3.0 h2828fa1_19 conda-forge
libnghttp2 1.43.0 h812cca2_0 conda-forge
libssh2 1.9.0 ha56f1ee_6 conda-forge
libstdcxx-devel_linux-64 9.3.0 hb016644_19 conda-forge
libstdcxx-ng 9.3.0 h6de172a_19 conda-forge
libuv 1.41.1 h7f98852_0 conda-forge
lz4-c 1.9.3 h9c3ff4c_0 conda-forge
ncurses 6.2 h58526e2_4 conda-forge
openssl 1.1.1k h7f98852_0 conda-forge
pkg-config 0.29.2 h36c2ea0_1008 conda-forge
rhash 1.4.1 h7f98852_0 conda-forge
sysroot_linux-64 2.12 h77966d4_13 conda-forge
tk 8.6.10 h21135ba_1 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.5.0 ha95c52a_0 conda-forge
conda
and system ( conda info
):
$ conda info
(boost-cpp) straversaro@IITICUBLAP102:~/boost_find_package_mre/build$ conda info
active environment : boost-cpp
active env location : /home/straversaro/mambaforge/envs/boost-cpp
shell level : 1
user config file : /home/straversaro/.condarc
populated config files : /home/straversaro/mambaforge/.condarc
/home/straversaro/.condarc
conda version : 4.10.3
conda-build version : not installed
python version : 3.9.5.final.0
virtual packages : __linux=4.19.104=0
__glibc=2.31=0
__unix=0=0
__archspec=1=x86_64
base environment : /home/straversaro/mambaforge (writable)
conda av data dir : /home/straversaro/mambaforge/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
package cache : /home/straversaro/mambaforge/pkgs
/home/straversaro/.conda/pkgs
envs directories : /home/straversaro/mambaforge/envs
/home/straversaro/.conda/envs
platform : linux-64
user-agent : conda/4.10.3 requests/2.25.1 CPython/3.9.5 Linux/4.19.104-microsoft-standard ubuntu/20.04.2 glibc/2.31
UID:GID : 1000:1000
netrc file : None
offline mode : False
The latest builds do not have zlib enabled.
For example https://dev.azure.com/conda-forge/84710dde-1620-425b-80d0-4cf5baca359d/_apis/build/builds/489010/logs/27
shows zlib: no.
The linux-64/boost-cpp-1.77.0-he72f1d9_2.tar.bz2 build published 10 days ago is broken, whereas the linux-64/boost-cpp-1.77.0-h359cf19_1.tar.bz2 build published many months earlier is OK.
It appears that the previous fix for this, #114 & #115 by @benmwebb, was not actually merged into main
- it was just merged into a version branch.
conda list
conda info
While further investigating issue #49, I've found that, when trying to install Boost packages like this with latest conda 4.7.2 (from conda-canary
), it fails with this message:
> conda create -y -n boost_170_test python boost==1.70.0 boost-cpp==1.70.0
WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is <3.18.3. Update or remove conda-build to get smaller downloads and faster extractions.
Collecting package metadata (repodata.json): done
Solving environment: failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
- boost-cpp==1.70.0 -> libboost[version='<0']
- boost==1.70.0 -> boost-cpp=1.70.0 -> libboost[version='<0']
note that if I remove the boost pins, it will work, and will install the 1.69.0
version.
ฮป conda create -y -n boost_170_test python boost boost-cpp
WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is <3.18.3. Update or remove conda-build to get smaller downloads and faster extractions.
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: W:\Miniconda3\envs\boost_170_test
added / updated specs:
- boost
- boost-cpp
- python
The following NEW packages will be INSTALLED:
boost conda-forge/win-64::boost-1.69.0-py37hf75dd32_1001
boost-cpp conda-forge/win-64::boost-cpp-1.69.0-h6a4c333_1000
ca-certificates conda-forge/win-64::ca-certificates-2019.3.9-hecc5488_0
certifi conda-forge/win-64::certifi-2019.3.9-py37_0
intel-openmp pkgs/main/win-64::intel-openmp-2019.4-245
libblas conda-forge/win-64::libblas-3.8.0-8_mkl
libcblas conda-forge/win-64::libcblas-3.8.0-8_mkl
liblapack conda-forge/win-64::liblapack-3.8.0-8_mkl
mkl pkgs/main/win-64::mkl-2019.4-245
numpy conda-forge/win-64::numpy-1.16.3-py37h873a0b8_0
openssl conda-forge/win-64::openssl-1.1.1b-hfa6e2cd_2
pip conda-forge/win-64::pip-19.1.1-py37_0
python conda-forge/win-64::python-3.7.3-hb12ca83_0
setuptools conda-forge/win-64::setuptools-41.0.1-py37_0
sqlite conda-forge/win-64::sqlite-3.28.0-hfa6e2cd_0
vc pkgs/main/win-64::vc-14.1-h0510ff6_4
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.15.26706-h3a45250_4
wheel conda-forge/win-64::wheel-0.33.4-py37_0
wincertstore conda-forge/win-64::wincertstore-0.2-py37_1002
zlib conda-forge/win-64::zlib-1.2.11-h2fa13f4_1004
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use:
# > activate boost_170_test
#
# To deactivate an active environment, use:
# > deactivate
#
# * for power-users using bash, you must source
#
I'm adding system info to this gist as to not pollute the issue.
I see this issue for win, osx, linux:
conda-forge/smesh-feedstock#24
The called commands are located here:
https://github.com/LaughlinResearch/SMESH/blob/master/CMakeLists.txt#L74L97
@mictadlo commented on Sun Jan 22 2017
Hi,
Would you be able to add --with-libraries=graph,filesystem
?
Thank you in advance.
Best wishes,
MIchal
@jakirkham commented on Sun Jan 22 2017
Moving to boost-cpp as that is where general Boost stuff is handled now. This feedstock tacks on Boost.Python in addition to everything included in that package.
Hi,
I am trying to link against the conda package on Windows created by this package with a CMake project.
A minimal example is published here: https://github.com/ax3l/conda_boost_linking
The problem I am facing is during linking against boost::filesystem
on which I am getting errors of the kind:
myLib.lib(myLib.obj) : error LNK2019: unresolved external symbol "void __cdecl boost::filesystem::path_traits::convert(char const *,char const *,class std::basic_string<wchar_t,struct std::char_traits<wchar_t>,class std::allocator<wchar_t> > &,class std::codecvt<wchar_t,char,struct _Mbstatet> const &)" (?convert@path_traits@filesystem@boost@@YAXPEBD0AEAV?$basic_string@_WU?$char_traits@_W@std@@V?$allocator@_W@2@@std@@AEBV?$codecvt@_WDU_Mbstatet@@@5@@Z) referenced in function "int __cdecl f(int,char * * const)" (?f@@YAHHQEAPEAD@Z) [C:\projects\TestBoost\build\app.vcxproj]
myLib.lib(myLib.obj) : error LNK2019: unresolved external symbol "public: static class std::codecvt<wchar_t,char,struct _Mbstatet> const & __cdecl boost::filesystem::path::codecvt(void)" (?codecvt@path@filesystem@boost@@SAAEBV?$codecvt@_WDU_Mbstatet@@@std@@XZ) referenced in function "int __cdecl f(int,char * * const)" (?f@@YAHHQEAPEAD@Z) [C:\projects\TestBoost\build\app.vcxproj]
(See three build examples here: https://ci.appveyor.com/project/ax3l/conda-boost-linking and my appveyor file here: https://github.com/ax3l/conda_boost_linking/blob/master/appveyor.yml)
I am building on x86 and with both VS2015 and 2017 but seem to get no further with this. (Update: the minimal example builds with VS2017 for some reason now...)
Do you have any recommendations for Windows builds? Any CMake property I am missing? A certain VS version I should be using? Something off in the appveyor file?
After googling for a day I tried around with BOOST_ALL_NO_LIB
, Unicode settings and native wchar_t
but all of those did not change the situation. Also the alternative boost-feedstock
shows the same issues.
I am trying to install the boost package. But I was wondering if there is a way to specify an option like 'headers_only'. As I only need the header files from this package.
Of course I can install the package and take out the include directory and use.
But if there was a way to install a header only package, it would be helpful.
I encountered linker errors when linking to the shared version of the library on windows. Because find_package()
automatically prefers the shared version, the shared libraries should be either fixed or removed on windows, and the static libraries should be renamed so that find_package()
will find them.
Because boost is build with c++17 all dependencies of boost (especially if build against boost.system) must use c++17 too. I guess boost should be more compatible if build with -std=c++14 (But I am not sure)
Maybe it is possible to build with -std=c++14? (Allthough I don't like the idea. Better make all boost-depending packages c++17 compatible. But this is again a lot of work...)
the reported error at runtime:
runtime error: undefined symbol: _ZN5boost6system6detail24system_category_instanceE
As discussed in #25, there are multiple boost packages.
Besides finding a resolution for those issues - what is the "right" way for other recipes to access the boost libraries? What should be in the host and run dependencies, respectively? boost
or boost-cpp
or libboost
?
The reason I'm opening this is that we have plenty of packages in Bioconda requiring boost
and a few requiring boost-cpp
or libboost
. Also, I just had a user report a linking issue that resulted from installing python 3.7.1
- that lead to different libboost_*_1.67.so
files being installed and things breaking. What's the right way to require/pin boost so that this doesn't happen?
Issue: When building software with cmake that depends on boost-cpp 1.70.0, the cmake configs in $CONDA_PREFIX/lib/cmake give the static version of the boost libraries instead of the shared libraries.
This will likely break the build for various reasons, for example libboost_filesystem.a has hidden symbols in it. As soon as you try to link with a shared object file, the build will error out because hidden objects/symbols cannot be used in shared object builds.
Setting the cmake variable Boost_USE_STATIC_LIBS to "OFF" causes cmake to error out because it can't find libboost_system.so.
If you instead move the cmake config files away, then FindBoost.cmake can conclude and works properly.
For example:
$ mkdir /tmp/hold-cmake-config
$ mv $CONDA_PREFIX/lib/cmake/?oost* /tmp/hold-cmake-config/
Now cmake and FindBoost.cmake can do their thing and the build finishes.
boost 1.78.0 is not compatible with libcxx 16 that was recently released in conda-forge (conda-forge/libcxx-feedstock#113). A fix was released in boost 1.81 (boostorg/config#440), but boost 1.78.0 is the version pinned in conda-forge. I tought backporting the fix in 1.78.0, but from #130 it seems that due to ABI breakage we cannot backport stuff to 1.78.0 .
fyi @conda-forge/boost-cpp
Related issues:
Issue: Link error : undefined reference to `boost::program_options::options_description::options_description(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, unsigned int, unsigned int)'
I tried to compile example from https://www.boost.org/doc/libs/1_66_0/doc/html/program_options/tutorial.html#id-1.3.31.4.3 but I cannot deal why there is this link error.
It works fine if I install boost without conda. cf. attached files
boost_po.tar.gz
conda list
):
$ conda list
# packages in environment at /builds/miniconda3/envs/boost-cpp-program-options:
#
# Name Version Build Channel
boost-cpp 1.65.0 0 conda-forge
bzip2 1.0.6 h14c3975_1002 conda-forge
ca-certificates 2018.11.29 ha4d7672_0 conda-forge
certifi 2018.11.29 py36_1000 conda-forge
cloog 0.18.0 0
cmake 3.13.4 h8d4ced6_0 conda-forge
curl 7.62.0 hbc83047_0
expat 2.2.5 hf484d3e_1002 conda-forge
gmp 6.1.2 hf484d3e_1000 conda-forge
icu 58.2 hf484d3e_1000 conda-forge
isl 0.12.2 0
libcurl 7.62.0 h20c2e04_0
libffi 3.2.1 hf484d3e_1005 conda-forge
libgcc-ng 7.3.0 hdf63c60_0 conda-forge
libssh2 1.8.0 1 conda-forge
libstdcxx-ng 7.3.0 hdf63c60_0 conda-forge
libuv 1.26.0 h14c3975_0 conda-forge
mpc 1.1.0 4 conda-forge
mpfr 3.1.5 0 conda-forge
ncurses 6.1 hf484d3e_1002 conda-forge
openssl 1.1.1a h14c3975_1000 conda-forge
pip 19.0.3 py36_0 conda-forge
python 3.6.8 h0371630_0
readline 7.0 hf8c457e_1001 conda-forge
rhash 1.3.6 h14c3975_1001 conda-forge
setuptools 40.8.0 py36_0 conda-forge
sqlite 3.26.0 h67949de_1000 conda-forge
tk 8.6.9 h84994c4_1000 conda-forge
wheel 0.33.1 py36_0 conda-forge
xz 5.2.4 h14c3975_1001 conda-forge
zlib 1.2.11 h14c3975_1004 conda-forge
conda
and system ( conda info
):
$ conda info
active environment : boost-cpp-program-options
active env location : /builds/miniconda3/envs/boost-cpp-program-options
shell level : 2
user config file : /builds/.condarc
populated config files : /builds/.condarc
conda version : 4.6.6
conda-build version : 3.17.8
python version : 3.7.1.final.0
base environment : /builds/miniconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /builds/miniconda3/pkgs
/builds/.conda/pkgs
envs directories : /builds/miniconda3/envs
/builds/.conda/envs
platform : linux-64
user-agent : conda/4.6.6 requests/2.21.0 CPython/3.7.1 Linux/4.9.5-200.fc25.x86_64 fedora/25 glibc/2.24
UID:GID : 1000:1000
netrc file : None
offline mode : False
Until #25 is solved, we will have issues with users having both libboost
and boost-cpp
installed. In that case sometimes the wrong boost package gets loaded and leads to segfaults. Using run_constrained
here, we should be able to define that only one of the two packages should be installed.
Hi! I'm on a Mac and need libboost_thread-mt.[a,dylib]
, but this package does not supply it. It only provides libboost_thread.[a,dylib]
. Could this feedstock / build procedure be modified to include those libraries? I think it's as simple as adding symlinks: libboost_thread-mt
to libboost_thread
.
My situation: I'm building caffe from source. I got an error from make saying ld: library not found for -lboost_thread-mt
, same as this person on SO. It seems like most people use brew to install boost on OS X, and brew includes the -mt
libboost
libraries. But I wanted to use conda to avoid the OS-level install.
Referencing conda-forge/boost-feedstock#48
There's a bunch of discussions that touch upon changing our distribution of boost in some way. All of these come with quite some effort, but I believe we could solve them with essentially one PR plus a special migrator.
Open discussions I'm aware of:
Rough idea:
boost-cpp
--> libboost
, and add a run-exportlibboost-headers
discussion & a (basically unanimous) voteboost
from https://github.com/conda-forge/boost-feedstock (which already depends on boost-cpp)
py-boost
to match with Anaconda?libboost-python
, at least in conda-forge - I also think this name would be much clearer to communicate that it's for boost's python bindings, rather than boost
itself.boost-cpp
only in host, turn into libboost-headers
. If also in run, remove it there but use libboost
in host.In short:
conda-forge: currently |
Anaconda: currently |
conda-forge (& Anaconda?): proposal |
|
---|---|---|---|
lib | boost-cpp |
libboost |
libboost |
header-only lib | - | - | libboost-headers |
python bindings | boost |
py-boost |
libboost-python |
Am I overlooking something? Any thoughts/comments?
@conda-forge/boost-cpp @conda-forge/boost @conda-forge/core
where the following was said: "-cpp
was a trend that I started with boost-cpp
. That was a mistake. I'm in favour of changing it [...]" โฉ
@conda-forge-admin, please re-render.
Issue:
conda list
):
$ conda list
conda
and system ( conda info
):
$ conda info
Hi,
I am trying to build a conda package for a project that depends on static boost libraries (e.g boost_iostreams.a on linux).
Is it possible to provide these libraries with this package? Or is there another conda package that includes the static libraries?
Best regards
Peter
Boost 1.83 has been released back in August, but 1.82 is the latest version available on conda-forge for linux-x64
I tried to bring up another project on conda-forge
but I came into a linkage problem as below:
[ 16%] Linking CXX shared library gazebo_common.dll
LINK: command "C:\PROGRA~2\MICROS~1\2017\ENTERP~1\VC\Tools\MSVC\1416~1.270\bin\Hostx64\x64\link.exe /nologo @CMakeFiles\gazebo_common.dir\objects1.rsp /out:gazebo_common.dll /implib:gazebo_common.lib /pdb:%SRC_DIR%\build\gazebo\common\gazebo_common.pdb /dll /version:9.11 /machine:x64 /INCREMENTAL:NO -LIBPATH:%SRC_DIR%\build\test -LIBPATH:%PREFIX%\Library\lib %PREFIX%\Library\lib\dl.lib %PREFIX%\Library\lib\boost_thread.lib %PREFIX%\Library\lib\boost_system.lib %PREFIX%\Library\lib\boost_filesystem.lib %PREFIX%\Library\lib\boost_program_options.lib %PREFIX%\Library\lib\boost_regex.lib %PREFIX%\Library\lib\boost_iostreams.lib %PREFIX%\Library\lib\boost_date_time.lib %PREFIX%\Library\lib\boost_chrono.lib %PREFIX%\Library\lib\boost_atomic.lib %PREFIX%\Library\lib\FreeImage.lib tinyxml_internal.lib %PREFIX%\Library\lib\libcurl.lib %PREFIX%\Library\lib\sdformat.lib %PREFIX%\Library\lib\ignition-math4.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST /MANIFESTFILE:gazebo_common.dll.manifest" failed (exit code 1104) with the following output:
LINK : fatal error LNK1104: cannot open file 'boost_zlib.lib'
And even if I tried to use add_definitions(-DBOOST_ALL_NO_LIB=1)
to hack the CMakeLists.txt
, which still gave me the similar result.
[ 16%] Linking CXX shared library gazebo_common.dll
LINK: command "C:\PROGRA~2\MICROS~1\2017\ENTERP~1\VC\Tools\MSVC\1416~1.270\bin\Hostx64\x64\link.exe /nologo @CMakeFiles\gazebo_common.dir\objects1.rsp /out:gazebo_common.dll /implib:gazebo_common.lib /pdb:%SRC_DIR%\build\gazebo\common\gazebo_common.pdb /dll /version:9.11 /machine:x64 /INCREMENTAL:NO -LIBPATH:%SRC_DIR%\build\test -LIBPATH:%PREFIX%\Library\lib %PREFIX%\Library\lib\dl.lib %PREFIX%\Library\lib\boost_thread.lib %PREFIX%\Library\lib\boost_system.lib %PREFIX%\Library\lib\boost_filesystem.lib %PREFIX%\Library\lib\boost_program_options.lib %PREFIX%\Library\lib\boost_regex.lib %PREFIX%\Library\lib\boost_iostreams.lib %PREFIX%\Library\lib\boost_date_time.lib %PREFIX%\Library\lib\boost_chrono.lib %PREFIX%\Library\lib\boost_atomic.lib %PREFIX%\Library\lib\FreeImage.lib tinyxml_internal.lib %PREFIX%\Library\lib\libcurl.lib %PREFIX%\Library\lib\sdformat.lib %PREFIX%\Library\lib\ignition-math4.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST /MANIFESTFILE:gazebo_common.dll.manifest" failed (exit code 1120) with the following output:
Creating library gazebo_common.lib and object gazebo_common.exp
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::default_compression" (?default_compression@zlib@iostreams@boost@@3HB) referenced in function "private: static struct boost::iostreams::gzip_params __cdecl boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::make_params(int)" (?make_params@?$basic_gzip_decompressor@V?$allocator@D@std@@@iostreams@boost@@CA?AUgzip_params@23@H@Z)
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::deflated" (?deflated@zlib@iostreams@boost@@3HB) referenced in function "private: static struct boost::iostreams::gzip_params __cdecl boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::make_params(int)" (?make_params@?$basic_gzip_decompressor@V?$allocator@D@std@@@iostreams@boost@@CA?AUgzip_params@23@H@Z)
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::default_strategy" (?default_strategy@zlib@iostreams@boost@@3HB) referenced in function "private: static struct boost::iostreams::gzip_params __cdecl boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::make_params(int)" (?make_params@?$basic_gzip_decompressor@V?$allocator@D@std@@@iostreams@boost@@CA?AUgzip_params@23@H@Z)
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::okay" (?okay@zlib@iostreams@boost@@3HB) referenced in function "public: __cdecl boost::iostreams::gzip_error::gzip_error(int)" (??0gzip_error@iostreams@boost@@QEAA@H@Z)
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::stream_end" (?stream_end@zlib@iostreams@boost@@3HB) referenced in function "public: void __cdecl boost::iostreams::symmetric_filter<class boost::iostreams::detail::zlib_decompressor_impl<class std::allocator<char> >,class std::allocator<char> >::close<struct boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::peekable_source<class boost::iostreams::detail::linked_streambuf<char,struct std::char_traits<char> > > >(struct boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::peekable_source<class boost::iostreams::detail::linked_streambuf<char,struct std::char_traits<char> > > &,int)" (??$close@U?$peekable_source@V?$linked_streambuf@DU?$char_traits@D@std@@@detail@iostreams@boost@@@?$basic_gzip_decompressor@V?$allocator@D@std@@@iostreams@boost@@@?$symmetric_filter@V?$zlib_decompressor_impl@V?$allocator@D@std@@@detail@iostreams@boost@@V?$allocator@D@std@@@iostreams@boost@@QEAAXAEAU?$peekable_source@V?$linked_streambuf@DU?$char_traits@D@std@@@detail@iostreams@boost@@@?$basic_gzip_decompressor@V?$allocator@D@std@@@12@H@Z)
ModelDatabase.cc.obj : error LNK2019: unresolved external symbol "int const boost::iostreams::zlib::sync_flush" (?sync_flush@zlib@iostreams@boost@@3HB) referenced in function "public: void __cdecl boost::iostreams::symmetric_filter<class boost::iostreams::detail::zlib_decompressor_impl<class std::allocator<char> >,class std::allocator<char> >::close<struct boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::peekable_source<class boost::iostreams::detail::linked_streambuf<char,struct std::char_traits<char> > > >(struct boost::iostreams::basic_gzip_decompressor<class std::allocator<char> >::peekable_source<class boost::iostreams::detail::linked_streambuf<char,struct std::char_traits<char> > > &,int)" (??$close@U?$peekable_source@V?$linked_streambuf@DU?$char_traits@D@std@@@detail@iostreams@boost@@@?$basic_gzip_decompressor@V?$allocator@D@std@@@iostreams@boost@@@?$symmetric_filter@V?$zlib_decompressor_impl@V?$allocator@D@std@@@detail@iostreams@boost@@V?$allocator@D@std@@@iostreams@boost@@QEAAXAEAU?$peekable_source@V?$linked_streambuf@DU?$char_traits@D@std@@@detail@iostreams@boost@@@?$basic_gzip_decompressor@V?$allocator@D@std@@@12@H@Z)
We've been having users report crashes with the boost-cpp=1.69.0 macOS packages on newer Xcode
The AnacondaRecipes version of this feedstock (https://github.com/anacondarecipes/boost-cpp-feedstock) incorporates boost-python and libboost, as well as "boost" and "boost-cpp" as metapackages. As part of the unification with defaults, we should discuss how to deprecate this repo and have only one boost feedstock that has the package splitting.
Issue:
Pretty sure that this PR broke something
#113
conda list
):
$ conda list
# packages in environment at /home/mmh/miniconda3/envs/rdkit-test:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
boost 1.74.0 py38h2b96118_5 conda-forge
boost-cpp 1.74.0 h359cf19_6 conda-forge
brotli 1.0.9 h7f98852_6 conda-forge
brotli-bin 1.0.9 h7f98852_6 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
ca-certificates 2021.10.26 h06a4308_2
cairo 1.16.0 ha00ac49_1009 conda-forge
certifi 2021.10.8 py38h578d9bd_1 conda-forge
cycler 0.11.0 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 2.13.94 ha180cfb_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.29.1 py38h497a2fe_0 conda-forge
freetype 2.11.0 h70c0345_0
fribidi 1.0.10 h516909a_0 conda-forge
gettext 0.21.0 hf68c758_0
giflib 5.2.1 h516909a_2 conda-forge
greenlet 1.1.2 py38h709712a_1 conda-forge
icu 69.1 h9c3ff4c_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
jpeg 9e h7f98852_0 conda-forge
kiwisolver 1.3.2 py38h1fd1430_1 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
lerc 3.0 h9c3ff4c_0 conda-forge
libblas 3.9.0 13_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h7f98852_6 conda-forge
libbrotlidec 1.0.9 h7f98852_6 conda-forge
libbrotlienc 1.0.9 h7f98852_6 conda-forge
libcblas 3.9.0 13_linux64_openblas conda-forge
libdeflate 1.8 h7f98852_0 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 11.2.0 h1d223b6_12 conda-forge
libgfortran-ng 11.2.0 h69a702a_12 conda-forge
libgfortran5 11.2.0 h5c6108e_12 conda-forge
libglib 2.70.2 h174f98d_1 conda-forge
libgomp 11.2.0 h1d223b6_12 conda-forge
libiconv 1.16 h516909a_0 conda-forge
libimagequant 2.17.0 h7f98852_1 conda-forge
liblapack 3.9.0 13_linux64_openblas conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libopenblas 0.3.18 pthreads_h8fe5266_0 conda-forge
libpng 1.6.37 hed695b0_2 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_12 conda-forge
libtiff 4.3.0 h6f004c6_2 conda-forge
libuuid 2.32.1 h14c3975_1000 conda-forge
libwebp 1.2.2 h3452ae3_0 conda-forge
libwebp-base 1.2.2 h7f98852_1 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxml2 2.9.12 h885dcf4_1 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
matplotlib-base 3.5.1 py38hf4fb855_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
ncurses 6.3 h9c3ff4c_0 conda-forge
numpy 1.22.2 py38h6ae9a64_0 conda-forge
openjpeg 2.4.0 hb52868f_1 conda-forge
openssl 3.0.0 h7f98852_2 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.4.0 py38h43a58ef_0 conda-forge
pcre 8.45 h9c3ff4c_0 conda-forge
pillow 9.0.1 py38he2f12e7_0 conda-forge
pip 22.0.3 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
pycairo 1.20.1 py38hf61ee4a_1 conda-forge
pyparsing 3.0.7 pyhd8ed1ab_0 conda-forge
python 3.8.12 h0744224_3_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytz 2021.3 pyhd8ed1ab_0 conda-forge
rdkit 2021.09.3 py38h8c3fb5a_0 conda-forge
readline 8.1.2 h7f8727e_1
reportlab 3.5.68 py38hadf75a6_1 conda-forge
setuptools 60.7.1 py38h578d9bd_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlalchemy 1.4.31 py38h497a2fe_0 conda-forge
sqlite 3.37.0 h9cd32fc_0 conda-forge
tk 8.6.11 h27826a3_1 conda-forge
unicodedata2 14.0.0 py38h497a2fe_0 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
xorg-kbproto 1.0.7 h14c3975_1002 conda-forge
xorg-libice 1.0.10 h516909a_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.2 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h14c3975_0 conda-forge
xorg-libxdmcp 1.1.3 h516909a_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h14c3975_1002 conda-forge
xorg-xextproto 7.3.0 h14c3975_1002 conda-forge
xorg-xproto 7.0.31 h14c3975_1007 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
zstd 1.5.2 ha95c52a_0 conda-forge
conda
and system ( conda info
):
$ conda info
active environment : rdkit-test
active env location : /home/mmh/miniconda3/envs/rdkit-test
shell level : 2
user config file : /home/mmh/.condarc
populated config files : /home/mmh/.condarc
conda version : 4.11.0
conda-build version : 3.21.5
python version : 3.8.5.final.0
virtual packages : __cuda=11.4=0
__linux=5.15.11=0
__glibc=2.34=0
__unix=0=0
__archspec=1=x86_64
base environment : /home/mmh/miniconda3 (writable)
conda av data dir : /home/mmh/miniconda3/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/mmh/miniconda3/pkgs
/home/mmh/.conda/pkgs
envs directories : /home/mmh/miniconda3/envs
/home/mmh/.conda/envs
platform : linux-64
user-agent : conda/4.11.0 requests/2.25.1 CPython/3.8.5 Linux/5.15.11-76051511-generic pop/21.04 glibc/2.34
UID:GID : 1000:1000
netrc file : None
offline mode : False
To reproduce:
$ mamba create -n rdkit-test python=3.8 rdkit=2021.09.4
$ conda activate rdkit-test
$ python
>>> from rdkit.Chem.rdmolfiles import *
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/mmh/miniconda3/envs/rdkit-test/lib/python3.8/site-packages/rdkit/Chem/__init__.py", line 23, in <module>
from rdkit.Chem.rdmolfiles import *
ImportError: /home/mmh/miniconda3/envs/rdkit-test/lib/python3.8/site-packages/rdkit/Chem/../../../../libRDKitmaeparser.so.1: undefined symbol: _ZN5boost9iostreams4zlib8deflatedE
This error just started showing up on my CI and this looks like it just got released, looking at the timestamp on boost-cpp 1.74.0
https://anaconda.org/conda-forge/boost-cpp/files
If I install the last build mamba install boost-cpp=1.74.0=h359cf19_5
then the error goes away
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