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License: BSD 3-Clause "New" or "Revised" License
pypy3.5-feedstock's Introduction
<!-- # -*- mode: jinja -*- --> About pypy3.5 ============= Home: http://pypy.org/ Package license: MIT Feedstock license: BSD 3-Clause Summary: PyPy is a Python interpreter and just-in-time compiler. How to use this package? ======================== Since PyPy is an alternative *interpreter*, using this package is different than other conda-forge packages. You want to create an **empty** Conda environment: ``` conda create -n pypyenv conda activate pypyenv ``` (🔴️ you might still have `python` or `pip` binaries in your $PATH, but those are the system's and you MUST NOT use them!️) Then, install this package: ``` conda install -c conda-forge pypy3.5 ``` Now you can install `pip`: ``` pypy3 -m ensurepip ```🎉 using this `pip` you can install any package you like! For example, to update `pip` itself (which you should do!): ``` pypy3 -m pip install -U pip ``` or ``` pip3 install ... ``` (You can verify that it's the correct `pip3`/`pip` using `which {pip3,pip}`. It should be something like `.../miniconda3/envs/pypyenv/bin/pip` )🔴 You CANNOT use `conda install x` to install anything, because Conda provides pre-built package for the regular CPython interpreter, which are incompatible with PyPy. Current build status ====================  Current release info ==================== | Name | Downloads | Version | Platforms | | --- | --- | --- | --- | | [](https://anaconda.org/conda-forge/pypy3.5) | [](https://anaconda.org/conda-forge/pypy3.5) | [](https://anaconda.org/conda-forge/pypy3.5) | [](https://anaconda.org/conda-forge/pypy3.5) | Installing pypy3.5 ================== Installing `pypy3.5` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with: ``` conda config --add channels conda-forge ``` Once the `conda-forge` channel has been enabled, `pypy3.5` can be installed with: ``` conda install pypy3.5 ``` It is possible to list all of the versions of `pypy3.5` available on your platform with: ``` conda search pypy3.5 --channel conda-forge ``` About conda-forge ================= [](http://numfocus.org) conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a *feedstock*. A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by [CircleCI](https://circleci.com/), [AppVeyor](https://www.appveyor.com/) and [TravisCI](https://travis-ci.org/) it is possible to build and upload installable packages to the [conda-forge](https://anaconda.org/conda-forge) [Anaconda-Cloud](https://anaconda.org/) channel for Linux, Windows and OSX respectively. To manage the continuous integration and simplify feedstock maintenance [conda-smithy](https://github.com/conda-forge/conda-smithy) has been developed. Using the ``conda-forge.yml`` within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with ``conda smithy rerender``. For more information please check the [conda-forge documentation](https://conda-forge.org/docs/). Terminology =========== **feedstock** - the conda recipe (raw material), supporting scripts and CI configuration. **conda-smithy** - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI ``.yml`` files and simplify the management of *many* feedstocks. **conda-forge** - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions) Updating pypy3.5-feedstock ========================== If you would like to improve the pypy3.5 recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the `conda-forge` channel, whereupon the built conda packages will be available for everybody to install and use from the `conda-forge` channel. Note that all branches in the conda-forge/pypy3.5-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions. In order to produce a uniquely identifiable distribution: * If the version of a package **is not** being increased, please add or increase the [``build/number``](https://conda.io/docs/user-guide/tasks/build-packages/define-metadata.html#build-number-and-string). * If the version of a package **is** being increased, please remember to return the [``build/number``](https://conda.io/docs/user-guide/tasks/build-packages/define-metadata.html#build-number-and-string) back to 0. Feedstock Maintainers ===================== * [@ohadravid](https://github.com/ohadravid/) * [@omerbenamram](https://github.com/omerbenamram/)
](https://anaconda.org/conda-forge/pypy3.5){kind=link}
](https://anaconda.org/conda-forge/pypy3.5){kind=link}
](https://anaconda.org/conda-forge/pypy3.5){kind=link}
](https://anaconda.org/conda-forge/pypy3.5){kind=link}
](http://numfocus.org){kind=link}
pypy3.5-feedstock's People
Contributors
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pypy3.5-feedstock's Issues
Update to PyPy3.5 v6.0
- There is a newer version! http://doc.pypy.org/en/latest/release-v6.0.0.html
conda-buildis now in version 3, so we should be able to remove the uglywgetfrom the script and use
source:
- url: https://bitbucket.org/pypy/pypy/downloads/pypy3-v{{ version }}-src.tar.bz2
fn: pypy3-v{{ version }}-src.tar.bz2
sha256: f5548e06e2fc0c24ec8b6e3c5b09f90081818f7caa3e436dc312592611724713
folder: pypy3
patches:
- tklib_build.patch
- url: https://bitbucket.org/pypy/pypy/downloads/pypy2-v5.9.0-osx64.tar.bz2 # [osx]
fn: pypy2-v5.9.0-osx64.tar.bz2 # [osx]
sha256: 94de50ed80c7f6392ed356c03fd54cdc84858df43ad21e9e971d1b6da0f6b867 # [osx]
folder: pypy2-osx # [osx]
...
license_file: pypy3/LICENSEPYPY3_SRC_DIR=$SRC_DIR/pypy3
...
export PYTHON=$SRC_DIR/pypy2-osx/bin/pypy
...
export PYTHON=${PREFIX}/bin/pythonerror while loading shared libraries: libncurses.so.6: cannot open shared object file
error
$ pypy3
pypy3: error while loading shared libraries: libncurses.so.6: cannot open shared object file: No such file or directory
I'm not seeing a libncurses6 in apt-cache (there's a 5), but if I correctly understand how anaconda works, I shouldn't have to install dependencies separately anyway?
system info
Ubuntu 18.04 LTS
GNOME 3.28.1
installation log
$ conda install -c conda-forge pypy3.5
Solving environment: done
## Package Plan ##
environment location: /home/max/anaconda3
added / updated specs:
- pypy3.5
The following packages will be downloaded:
package | build
---------------------------|-----------------
gdbm-1.12 | 0 346 KB
ca-certificates-2018.4.16 | 0 139 KB conda-forge
openssl-1.0.2o | 0 3.5 MB conda-forge
conda-4.5.4 | py36_0 621 KB conda-forge
certifi-2018.4.16 | py36_0 142 KB conda-forge
pypy3.5-6.0.0 | ha9e8ddd_0 25.8 MB conda-forge
------------------------------------------------------------
Total: 30.5 MB
The following NEW packages will be INSTALLED:
gdbm: 1.12-0
pypy3.5: 6.0.0-ha9e8ddd_0 conda-forge
The following packages will be UPDATED:
ca-certificates: 2018.03.07-0 --> 2018.4.16-0 conda-forge
certifi: 2018.4.16-py36_0 --> 2018.4.16-py36_0 conda-forge
conda: 4.5.4-py36_0 --> 4.5.4-py36_0 conda-forge
openssl: 1.0.2o-h20670df_0 --> 1.0.2o-0 conda-forge
Proceed ([y]/n)? y
Downloading and Extracting Packages
gdbm-1.12 | 346 KB | ####################### | 100%
ca-certificates-2018 | 139 KB | ####################### | 100%
openssl-1.0.2o | 3.5 MB | ####################### | 100%
conda-4.5.4 | 621 KB | ####################### | 100%
certifi-2018.4.16 | 142 KB | ####################### | 100%
pypy3.5-6.0.0 | 25.8 MB | ####################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
conda info
active environment : None
user config file : /home/max/.condarc
populated config files :
conda version : 4.5.4
conda-build version : 3.4.1
python version : 3.6.4.final.0
base environment : /home/max/anaconda3 (writable)
channel URLs : 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
package cache : /home/max/anaconda3/pkgs
/home/max/.conda/pkgs
envs directories : /home/max/anaconda3/envs
/home/max/.conda/envs
platform : linux-64
user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.4 Linux/4.15.0-22-generic ubuntu/18.04 glibc/2.27
UID:GID : 1000:1000
netrc file : None
offline mode : False
conda list
# packages in environment at /home/max/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he11e457_0
alabaster 0.7.10 py36h306e16b_0
anaconda custom py36hbbc8b67_0
anaconda-client 1.6.9 py36_0
anaconda-navigator 1.7.0 py36_0
anaconda-project 0.8.2 py36h44fb852_0
asn1crypto 0.24.0 py36_0
astroid 1.6.1 py36_0
astropy 2.0.3 py36h14c3975_0
attrs 17.4.0 py36_0
babel 2.5.3 py36_0
backports 1.0 py36hfa02d7e_1
backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2
beautifulsoup4 4.6.0 py36h49b8c8c_1
bitarray 0.8.1 py36h14c3975_1
bkcharts 0.2 py36h735825a_0
blaze 0.11.3 py36h4e06776_0
bleach 2.1.2 py36_0
bokeh 0.12.13 py36h2f9c1c0_0
boto 2.48.0 py36h6e4cd66_1
bottleneck 1.2.1 py36haac1ea0_0
bzip2 1.0.6 h9a117a8_4
ca-certificates 2018.4.16 0 conda-forge
cairo 1.14.12 h77bcde2_0
certifi 2018.4.16 py36_0 conda-forge
cffi 1.11.4 py36h9745a5d_0
chardet 3.0.4 py36h0f667ec_1
click 6.7 py36h5253387_0
cloudpickle 0.5.2 py36_1
clyent 1.2.2 py36h7e57e65_1
colorama 0.3.9 py36h489cec4_0
conda 4.5.4 py36_0 conda-forge
conda-build 3.4.1 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h98955d8_0
contextlib2 0.5.5 py36h6c84a62_0
cryptography 2.1.4 py36hd09be54_0
curl 7.58.0 h84994c4_0
cycler 0.10.0 py36h93f1223_0
cython 0.27.3 py36h1860423_0
cytoolz 0.9.0 py36h14c3975_0
dask 0.16.1 py36_0
dask-core 0.16.1 py36_0
datashape 0.5.4 py36h3ad6b5c_0
dbus 1.12.2 hc3f9b76_1
decorator 4.2.1 py36_0
distributed 1.20.2 py36_0
docutils 0.14 py36hb0f60f5_0
entrypoints 0.2.3 py36h1aec115_2
et_xmlfile 1.0.1 py36hd6bccc3_0
expat 2.2.5 he0dffb1_0
fastcache 1.0.2 py36h14c3975_2
filelock 2.0.13 py36h646ffb5_0
flask 0.12.2 py36hb24657c_0
flask-cors 3.0.3 py36h2d857d3_0
fontconfig 2.12.4 h88586e7_1
freetype 2.8 hab7d2ae_1
gdbm 1.12 0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.2.2 py36h2fe25dc_0
glib 2.53.6 h5d9569c_2
glob2 0.6 py36he249c77_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py36hc8893dd_2
graphite2 1.3.10 hf63cedd_1
greenlet 0.4.12 py36h2d503a6_0
gst-plugins-base 1.12.4 h33fb286_0
gstreamer 1.12.4 hb53b477_0
h5py 2.7.1 py36h3585f63_0
harfbuzz 1.7.4 hc5b324e_0
hdf5 1.10.1 h9caa474_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h9c2bf20_1
idna 2.6 py36h82fb2a8_1
imageio 2.2.0 py36he555465_0
imagesize 0.7.1 py36h52d8127_0
intel-openmp 2018.0.0 hc7b2577_8
ipykernel 4.8.0 py36_0
ipython 6.2.1 py36h88c514a_1
ipython_genutils 0.2.0 py36hb52b0d5_0
ipywidgets 7.1.1 py36_0
isort 4.2.15 py36had401c0_0
itsdangerous 0.24 py36h93cc618_1
jbig 2.1 hdba287a_0
jdcal 1.3 py36h4c697fb_0
jedi 0.11.1 py36_0
jinja2 2.10 py36ha16c418_0
jpeg 9b h024ee3a_2
jsonschema 2.6.0 py36h006f8b5_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36he59e554_1
jupyter_core 4.4.0 py36h7c827e3_0
jupyterlab 0.31.5 py36_0
jupyterlab_launcher 0.10.2 py36_0
lazy-object-proxy 1.3.1 py36h10fcdad_0
libcurl 7.58.0 h1ad7b7a_0
libedit 3.1 heed3624_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 h7cc24e2_2
libgfortran-ng 7.2.0 h9f7466a_2
libpng 1.6.34 hb9fc6fc_0
libsodium 1.0.15 hf101ebd_0
libssh2 1.8.0 h9cfc8f7_4
libstdcxx-ng 7.2.0 h7a57d05_2
libtiff 4.0.9 h28f6b97_0
libtool 2.4.6 h544aabb_3
libxcb 1.12 hcd93eb1_4
libxml2 2.9.7 h26e45fe_0
libxslt 1.1.32 h1312cb7_0
llvmlite 0.21.0 py36ha241eea_0
locket 0.2.0 py36h787c0ad_1
lxml 4.1.1 py36hf71bdeb_1
lzo 2.10 h49e0be7_2
markupsafe 1.0 py36hd9260cd_1
matplotlib 2.1.2 py36h0e671d2_0
mccabe 0.6.1 py36h5ad9710_1
mistune 0.8.3 py36_0
mkl 2018.0.1 h19d6760_4
mkl-service 1.1.2 py36h17a0993_4
mpc 1.0.3 hec55b23_5
mpfr 3.1.5 h11a74b3_2
mpmath 1.0.0 py36hfeacd6b_2
msgpack-python 0.5.1 py36h6bb024c_0
multipledispatch 0.4.9 py36h41da3fb_0
navigator-updater 0.1.0 py36h14770f7_0
nbconvert 5.3.1 py36hb41ffb7_0
nbformat 4.4.0 py36h31c9010_0
ncurses 6.0 h9df7e31_2
networkx 2.1 py36_0
nltk 3.2.5 py36h7532b22_0
nose 1.3.7 py36hcdf7029_2
notebook 5.4.0 py36_0
numba 0.36.2 np114py36hc6662d5_0
numexpr 2.6.4 py36hc4a3f9a_0
numpy 1.14.0 py36h3dfced4_1
numpydoc 0.7.0 py36h18f165f_0
odo 0.5.1 py36h90ed295_0
olefile 0.45.1 py36_0
openpyxl 2.4.10 py36_0
openssl 1.0.2o 0 conda-forge
packaging 16.8 py36ha668100_1
pandas 0.22.0 py36hf484d3e_0
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py36ha6701b7_1
pango 1.41.0 hd475d92_0
parso 0.1.1 py36h35f843b_0
partd 0.3.8 py36h36fd896_0
patchelf 0.9 hf79760b_2
path.py 10.5 py36h55ceabb_0
pathlib2 2.3.0 py36h49efa8e_0
patsy 0.5.0 py36_0
pcre 8.41 hc27e229_1
pep8 1.7.1 py36_0
pexpect 4.3.1 py36_0
pickleshare 0.7.4 py36h63277f8_0
pillow 5.0.0 py36h3deb7b8_0
pip 10.0.1 py36_0
pixman 0.34.0 hceecf20_3
pkginfo 1.4.1 py36h215d178_1
pluggy 0.6.0 py36hb689045_0
ply 3.10 py36hed35086_0
prompt_toolkit 1.0.15 py36h17d85b1_0
psutil 5.4.3 py36h14c3975_0
ptyprocess 0.5.2 py36h69acd42_0
py 1.5.2 py36h29bf505_0
pycodestyle 2.3.1 py36hf609f19_0
pycosat 0.6.3 py36h0a5515d_0
pycparser 2.18 py36hf9f622e_1
pycrypto 2.6.1 py36h14c3975_7
pycurl 7.43.0.1 py36hb7f436b_0
pyflakes 1.6.0 py36h7bd6a15_0
pyflame 1.5.7 py36h85c360f_0 eklitzke
pygments 2.2.0 py36h0d3125c_0
pylint 1.8.2 py36_0
pyodbc 4.0.22 py36hf484d3e_0
pyopenssl 17.5.0 py36h20ba746_0
pyparsing 2.2.0 py36hee85983_1
pypy3.5 6.0.0 ha9e8ddd_0 conda-forge
pyqt 5.6.0 py36h0386399_5
pysocks 1.6.7 py36hd97a5b1_1
pytables 3.4.2 py36h3b5282a_2
pytest 3.3.2 py36_0
python 3.6.4 hc3d631a_1
python-dateutil 2.6.1 py36h88d3b88_1
pytz 2017.3 py36h63b9c63_0
pywavelets 0.5.2 py36he602eb0_0
pyyaml 3.12 py36hafb9ca4_1
pyzmq 16.0.3 py36he2533c7_0
qt 5.6.2 h974d657_12
qtawesome 0.4.4 py36h609ed8c_0
qtconsole 4.3.1 py36h8f73b5b_0
qtpy 1.3.1 py36h3691cc8_0
readline 7.0 ha6073c6_4
requests 2.18.4 py36he2e5f8d_1
rope 0.10.7 py36h147e2ec_0
ruamel_yaml 0.15.35 py36h14c3975_1
scikit-image 0.13.1 py36h14c3975_1
scikit-learn 0.19.1 py36h7aa7ec6_0
scipy 1.0.0 py36hbf646e7_0
seaborn 0.8.1 py36hfad7ec4_0
send2trash 1.4.2 py36_0
setuptools 38.4.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h7a266c3_0
sip 4.18.1 py36h51ed4ed_2
six 1.11.0 py36h372c433_1
snowballstemmer 1.2.1 py36h6febd40_0
sortedcollections 0.5.3 py36h3c761f9_0
sortedcontainers 1.5.9 py36_0
sphinx 1.6.6 py36_0
sphinxcontrib 1.0 py36h6d0f590_1
sphinxcontrib-websupport 1.0.1 py36hb5cb234_1
spyder 3.2.6 py36_0
sqlalchemy 1.2.1 py36h14c3975_0
sqlite 3.22.0 h1bed415_0
statsmodels 0.8.0 py36h8533d0b_0
sympy 1.1.1 py36hc6d1c1c_0
tblib 1.3.2 py36h34cf8b6_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h8cadb63_0
tk 8.6.7 hc745277_3
toolz 0.9.0 py36_0
tornado 4.5.3 py36_0
traitlets 4.3.2 py36h674d592_0
typing 3.6.2 py36h7da032a_0
unicodecsv 0.14.1 py36ha668878_0
unixodbc 2.3.4 hc36303a_1
urllib3 1.22 py36hbe7ace6_0
virtualenv 15.2.0 py36_0
wcwidth 0.1.7 py36hdf4376a_0
webencodings 0.5.1 py36h800622e_1
werkzeug 0.14.1 py36_0
wheel 0.30.0 py36hfd4bba0_1
widgetsnbextension 3.1.0 py36_0
wrapt 1.10.11 py36h28b7045_0
xlrd 1.1.0 py36h1db9f0c_1
xlsxwriter 1.0.2 py36h3de1aca_0
xlwt 1.3.0 py36h7b00a1f_0
xz 5.2.3 h55aa19d_2
yaml 0.1.7 had09818_2
zeromq 4.2.2 hbedb6e5_2
zict 0.1.3 py36h3a3bf81_0
zlib 1.2.11 ha838bed_2
How to install packages using pip?
Issue: The environment has two interpreters installed and pip doesn't install to the site-packages of the pypy interpreter.
(pycalver_pypy35) $ which python
/home/mbarkhau/miniconda3/envs/pycalver_pypy35/bin/python
(pycalver_pypy35) $ python --version
Python 3.7.1
(pycalver_pypy35) $ which pypy3
/home/mbarkhau/miniconda3/envs/pycalver_pypy35/bin/pypy3
(pycalver_pypy35) $ pypy3 --version
Python 3.5.3 (fdd60ed87e941677e8ea11acf9f1819466521bf2, Jun 20 2018, 15:25:53)
[PyPy 6.0.0 with GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
The pip module is not even available for the pypy interpreter.
(pycalver_pypy35) $ python -m pip --help
Usage:
/home/mbarkhau/miniconda3/envs/pycalver_pypy35/bin/python -m pip <command> [options]
(pycalver_pypy35) $ pypy3 -m pip --help
/home/mbarkhau/miniconda3/envs/pycalver_pypy35/bin/pypy3: No module named pip
(pycalver_pypy35) $ pip install requests
Collecting requests
...
Installing collected packages: urllib3, idna, chardet, requests
Successfully installed chardet-3.0.4 idna-2.8 requests-2.21.0 urllib3-1.24.1
(pycalver_pypy35) $ pypy3
Python 3.5.3 (fdd60ed87e941677e8ea11acf9f1819466521bf2, Jun 20 2018, 15:25:53)
[PyPy 6.0.0 with GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>> import requests
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named 'requests'
Environment (
conda list):
$ conda list
# packages in environment at /home/mbarkhau/miniconda3/envs/pycalver_pypy35:
#
# Name Version Build Channel
atomicwrites 1.2.1 py_0 conda-forge
attrs 18.2.0 py_0 conda-forge
bzip2 1.0.6 h470a237_2 conda-forge
ca-certificates 2018.11.29 ha4d7672_0 conda-forge
certifi 2018.11.29 py37_1000 conda-forge
Click 7.0 <pip>
expat 2.2.5 hfc679d8_2 conda-forge
gdbm 1.18 h941a26a_0 conda-forge
icu 58.2 hfc679d8_0 conda-forge
libffi 3.2.1 hfc679d8_5 conda-forge
libgcc-ng 7.3.0 hdf63c60_0 conda-forge
libiconv 1.15 h470a237_4 conda-forge
libstdcxx-ng 7.2.0 hdf63c60_3 conda-forge
libxml2 2.9.8 h422b904_5 conda-forge
libxslt 1.1.32 h88dbc4e_2 conda-forge
lxml 4.3.1 py37h23eabaa_0 conda-forge
more-itertools 4.3.0 py37_1000 conda-forge
ncurses 6.1 hfc679d8_2 conda-forge
openssl 1.0.2p h14c3975_1002 conda-forge
pathlib2 2.3.3 <pip>
pip 18.1 py37_1000 conda-forge
pip 19.0.2 <pip>
pluggy 0.8.1 py_0 conda-forge
py 1.7.0 py_0 conda-forge
pypy3.5 6.0.0 ha9e8ddd_1 conda-forge
pytest 4.2.1 py37_0 conda-forge
python 3.7.1 h5001a0f_0 conda-forge
readline 7.0 haf1bffa_1 conda-forge
setuptools 40.6.3 py37_0 conda-forge
six 1.12.0 py37_1000 conda-forge
sqlite 3.26.0 hb1c47c0_0 conda-forge
tk 8.6.9 ha92aebf_0 conda-forge
toml 0.10.0 <pip>
typing 3.6.6 <pip>
wheel 0.32.3 py37_0 conda-forge
xz 5.2.4 h470a237_1 conda-forge
zlib 1.2.11 h470a237_4 conda-forge
Details about
conda and system ( conda info ):
$ conda info
active environment : None
shell level : 0
user config file : /home/mbarkhau/.condarc
populated config files :
conda version : 4.5.12
conda-build version : not installed
python version : 3.7.1.final.0
base environment : /home/mbarkhau/miniconda3 (writable)
channel URLs : 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
package cache : /home/mbarkhau/miniconda3/pkgs
/home/mbarkhau/.conda/pkgs
envs directories : /home/mbarkhau/miniconda3/envs
/home/mbarkhau/.conda/envs
platform : linux-64
user-agent : conda/4.5.12 requests/2.21.0 CPython/3.7.1 Linux/4.18.0-15-generic ubuntu/18.10 glibc/2.28
UID:GID : 1000:1000
netrc file : None
offline mode : False
Remove this feedstock, PyPy 3.5 is no longer moving forward
Without commercial support PyPy will not be updating the 3.5 codebase
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