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pyahocorasick-feedstock's Introduction

About pyahocorasick-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/WojciechMula/pyahocorasick

Package license: BSD-3-Clause

Summary: Python module (C extension and plain python) implementing Aho-Corasick algorithm.

Development: https://github.com/WojciechMula/pyahocorasick

Documentation: http://pyahocorasick.readthedocs.io/en/latest/

pyahocorasick is a fast and memory efficient library for exact or approximate multi-pattern string search meaning that you can find multiple key strings occurrences at once in some input text. The library provides an ahocorasick Python module that you can use as a plain dict-like Trie or convert a Trie to an automaton for efficient Aho-Corasick search.

Current build status

Azure
VariantStatus
linux_64_python3.10.____cpython variant
linux_64_python3.11.____cpython variant
linux_64_python3.12.____cpython variant
linux_64_python3.8.____cpython variant
linux_64_python3.9.____73_pypy variant
linux_64_python3.9.____cpython variant
linux_aarch64_python3.10.____cpython variant
linux_aarch64_python3.11.____cpython variant
linux_aarch64_python3.12.____cpython variant
linux_aarch64_python3.8.____cpython variant
linux_aarch64_python3.9.____73_pypy variant
linux_aarch64_python3.9.____cpython variant
osx_64_python3.10.____cpython variant
osx_64_python3.11.____cpython variant
osx_64_python3.12.____cpython variant
osx_64_python3.8.____cpython variant
osx_64_python3.9.____73_pypy variant
osx_64_python3.9.____cpython variant
osx_arm64_python3.10.____cpython variant
osx_arm64_python3.11.____cpython variant
osx_arm64_python3.12.____cpython variant
osx_arm64_python3.8.____cpython variant
osx_arm64_python3.9.____cpython variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.8.____cpython variant
win_64_python3.9.____73_pypy variant
win_64_python3.9.____cpython variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing pyahocorasick

Installing pyahocorasick from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, pyahocorasick can be installed with conda:

conda install pyahocorasick

or with mamba:

mamba install pyahocorasick

It is possible to list all of the versions of pyahocorasick available on your platform with conda:

conda search pyahocorasick --channel conda-forge

or with mamba:

mamba search pyahocorasick --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search pyahocorasick --channel conda-forge

# List packages depending on `pyahocorasick`:
mamba repoquery whoneeds pyahocorasick --channel conda-forge

# List dependencies of `pyahocorasick`:
mamba repoquery depends pyahocorasick --channel conda-forge

About conda-forge

Powered by NumFOCUS

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 Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance 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.

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 pyahocorasick-feedstock

If you would like to improve the pyahocorasick 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/pyahocorasick-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.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

pyahocorasick-feedstock's People

Contributors

beckermr avatar chrisburr avatar conda-forge-admin avatar conda-forge-curator[bot] avatar github-actions[bot] avatar hmaarrfk avatar jonashaag avatar mariusvniekerk avatar mgopez avatar ocefpaf avatar peterk87 avatar regro-cf-autotick-bot avatar xhochy avatar

Stargazers

 avatar  avatar  avatar

Watchers

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pyahocorasick-feedstock's Issues

CondaValueError: Malformed version string '~': invalid character(s)

Issue: I followed the guide but the conda install pyahocorasick returns me the error: CondaValueError: Malformed version string '~': invalid character(s)


Environment (conda list):
$ conda list

# packages in environment at /home/vmanuel/.conda/envs/MTNCI:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
alabaster                 0.7.12                     py_0    conda-forge/label/cf201901
allennlp                  0.7.2            py36h470a237_0    conda-forge/label/cf201901
appdirs                   1.4.3                      py_1    conda-forge/label/cf201901
asn1crypto                0.24.0                py36_1003    conda-forge/label/cf201901
astroid                   2.3.3                    py36_0  
atomicwrites              1.2.1                      py_0    conda-forge/label/cf201901
attrs                     19.3.0                     py_0  
aws-xray-sdk              0.95                       py_0    conda-forge/label/cf201901
awscli                    1.15.85                  py36_0    conda-forge/label/cf201901
babel                     2.6.0                      py_1    conda-forge/label/cf201901
backcall                  0.1.0                      py_0    conda-forge/label/cf201901
blas                      1.0                         mkl  
bleach                    3.1.0                      py_0  
blinker                   1.4                        py_1    conda-forge/label/cf201901
boto                      2.49.0                     py_0    conda-forge/label/cf201901
boto3                     1.7.84                     py_0    conda-forge/label/cf201901
botocore                  1.10.84                    py_0    conda-forge/label/cf201901
bz2file                   0.98                       py_0    conda-forge/label/cf201901
ca-certificates           2020.1.1                      0  
certifi                   2019.11.28               py36_0  
cffi                      1.11.5           py36h5e8e0c9_1    conda-forge/label/cf201901
chardet                   3.0.4                 py36_1003    conda-forge/label/cf201901
click                     7.0                        py_0    conda-forge/label/cf201901
colorama                  0.3.9                      py_1    conda-forge/label/cf201901
conllu                    0.11                       py_0    conda-forge/label/cf201901
cookies                   2.2.1                      py_0    conda-forge/label/cf201901
cryptography              2.8              py36h1ba5d50_0  
cryptography-vectors      2.3.1                 py36_1000    conda-forge/label/cf201901
cudatoolkit               9.0                  h13b8566_0  
cudnn                     7.6.5                 cuda9.0_0  
cycler                    0.10.0                     py_1    conda-forge/label/cf201901
cymem                     1.31.2                   py36_0    conda-forge/label/cf201901
cytoolz                   0.9.0.1          py36h470a237_1    conda-forge/label/cf201901
dbus                      1.13.12              h746ee38_0  
decorator                 4.4.1                      py_0  
defusedxml                0.6.0                      py_0  
dicttoxml                 1.7.4                    py36_0    conda-forge/label/cf201901
dill                      0.2.8.2               py36_1000    conda-forge/label/cf201901
docker-py                 3.6.0                 py36_1000    conda-forge/label/cf201901
docker-pycreds            0.3.0                      py_1    conda-forge/label/cf201901
docutils                  0.14                  py36_1001    conda-forge/label/cf201901
ecdsa                     0.13                       py_0    conda-forge/label/cf201901
editdistance              0.4              py36hfc679d8_1    conda-forge/label/cf201901
entrypoints               0.3                   py36_1000    conda-forge/label/cf201901
expat                     2.2.6                he6710b0_0  
flaky                     3.5.1                      py_0    conda-forge/label/cf201901
flask                     1.0.2                      py_2    conda-forge/label/cf201901
flask-cors                3.0.6                      py_0    conda-forge/label/cf201901
fontconfig                2.13.0               h9420a91_0  
freetype                  2.9.1                h8a8886c_1  
ftfy                      5.3.0                    py36_0    conda-forge/label/cf201901
future                    0.17.1                py36_1000    conda-forge/label/cf201901
gensim                    3.5.0            py36hd3cffdd_0    conda-forge/label/cf201901
gevent                    1.3.6            py36h470a237_0    conda-forge/label/cf201901
glib                      2.63.1               h5a9c865_0  
gmp                       6.1.2                h6c8ec71_1  
greenlet                  0.4.13                   py36_0    conda-forge/label/cf201901
gst-plugins-base          1.14.0               hbbd80ab_1  
gstreamer                 1.14.0               hb453b48_1  
h5py                      2.9.0            py36he5c79e1_0    conda-forge/label/cf201901
hdf5                      1.10.4          nompi_h5598ddc_1105    conda-forge/label/cf201901
icu                       58.2                 h9c2bf20_1  
idna                      2.8                   py36_1000    conda-forge/label/cf201901
imagesize                 1.1.0                      py_0    conda-forge/label/cf201901
importlib_metadata        0.6                      py36_0    conda-forge/label/cf201901
intel-openmp              2019.4                      243  
ipykernel                 5.1.0           py36h24bf2e0_1001    conda-forge/label/cf201901
ipython                   7.2.0           py36h24bf2e0_1000    conda-forge/label/cf201901
ipython_genutils          0.2.0                      py_1    conda-forge/label/cf201901
ipywidgets                7.5.1                      py_0  
isort                     4.3.21                   py36_0  
itsdangerous              1.1.0                      py_0    conda-forge/label/cf201901
jedi                      0.13.2                py36_1000    conda-forge/label/cf201901
jinja2                    2.10.3                     py_0  
jmespath                  0.9.4                      py_0  
jpeg                      9b                   h024ee3a_2  
jsondiff                  1.1.1                      py_0    conda-forge/label/cf201901
jsonnet                   0.10.0           py36hfc679d8_0    conda-forge/label/cf201901
jsonpickle                0.9.6                      py_1    conda-forge/label/cf201901
jsonschema                3.0.0a3               py36_1000    conda-forge/label/cf201901
jupyter                   1.0.0                      py_1    conda-forge/label/cf201901
jupyter_client            5.2.4                      py_0    conda-forge/label/cf201901
jupyter_console           6.1.0                      py_0  
jupyter_core              4.4.0                      py_0    conda-forge/label/cf201901
keepalive                 0.5                        py_1    conda-forge
kiwisolver                1.0.1            py36h2d50403_2    conda-forge/label/cf201901
lazy-object-proxy         1.4.3            py36h7b6447c_0  
ld_impl_linux-64          2.33.1               h53a641e_7  
libedit                   3.1.20181209         hc058e9b_0  
libffi                    3.2.1                hd88cf55_4  
libgcc-ng                 9.1.0                hdf63c60_0  
libgfortran               3.0.0                         1    conda-forge/label/cf201901
libgfortran-ng            7.3.0                hdf63c60_0  
libpng                    1.6.37               hbc83047_0  
libprotobuf               3.6.1                hd28b015_0    conda-forge/label/cf201901
libsodium                 1.0.16               h1bed415_0  
libstdcxx-ng              9.1.0                hdf63c60_0  
libuuid                   1.0.3                h1bed415_2  
libxcb                    1.13                 h1bed415_1  
libxml2                   2.9.9                hea5a465_1  
markupsafe                1.1.0            py36h470a237_0    conda-forge/label/cf201901
matplotlib                2.2.3            py36h8e2386c_0    conda-forge/label/cf201901
mccabe                    0.6.1                    py36_1  
mistune                   0.8.4            py36h470a237_0    conda-forge/label/cf201901
mkl                       2018.0.3                      1  
mkl-service               1.1.2            py36h90e4bf4_5  
mkl_fft                   1.0.10                   py36_0    conda-forge/label/cf201901
mkl_random                1.0.2                    py36_0    conda-forge/label/cf201901
mock                      2.0.0                 py36_1000    conda-forge/label/cf201901
more-itertools            8.0.2                      py_0  
moto                      1.3.4                      py_0    conda-forge/label/cf201901
msgpack-numpy             0.4.4.2                    py_0    conda-forge/label/cf201901
msgpack-python            0.5.6            py36h2d50403_3    conda-forge/label/cf201901
murmurhash                0.28.0           py36hfc679d8_0    conda-forge/label/cf201901
nbconvert                 5.3.1                      py_1    conda-forge/label/cf201901
nbformat                  4.4.0                      py_1    conda-forge/label/cf201901
nccl                      1.3.5                 cuda9.0_0  
ncurses                   6.1                  he6710b0_1  
networkx                  2.4                        py_0  
ninja                     1.8.2                h2d50403_1    conda-forge/label/cf201901
nltk                      3.2.5                      py_0    conda-forge/label/cf201901
notebook                  5.7.4                 py36_1000    conda-forge/label/cf201901
numpy                     1.15.4           py36h1d66e8a_0  
numpy-base                1.15.4           py36h81de0dd_0  
numpydoc                  0.8.0                      py_1    conda-forge/label/cf201901
oauthlib                  2.1.0                      py_0    conda-forge/label/cf201901
openssl                   1.1.1d               h7b6447c_3  
overrides                 1.9                        py_0    conda-forge/label/cf201901
packaging                 18.0                       py_0    conda-forge/label/cf201901
pandoc                    2.2.3.2                       0  
pandocfilters             1.4.2                      py_1    conda-forge/label/cf201901
parsimonious              0.8.0                      py_0    conda-forge/label/cf201901
parso                     0.5.2                      py_0  
pbr                       5.1.1                      py_0    conda-forge/label/cf201901
pcre                      8.43                 he6710b0_0  
pexpect                   4.6.0                 py36_1000    conda-forge/label/cf201901
pickleshare               0.7.5                 py36_1000    conda-forge/label/cf201901
pip                       18.1                  py36_1000    conda-forge/label/cf201901
plac                      0.9.6                      py_1    conda-forge/label/cf201901
pluggy                    0.8.1                      py_0    conda-forge/label/cf201901
preshed                   1.0.1            py36hfc679d8_0    conda-forge/label/cf201901
prometheus_client         0.7.1                      py_0  
prompt_toolkit            3.0.2                      py_0  
protobuf                  3.6.1            py36hfc679d8_1    conda-forge/label/cf201901
ptyprocess                0.6.0                 py36_1000    conda-forge/label/cf201901
py                        1.7.0                      py_0    conda-forge/label/cf201901
pyaml                     18.11.0                    py_0    conda-forge/label/cf201901
pyasn1                    0.4.4                      py_1    conda-forge/label/cf201901
pycparser                 2.19                       py_0  
pycryptodome              3.7.1            py36h16a7912_0    conda-forge/label/cf201901
pygments                  2.5.2                      py_0  
pyjwt                     1.7.1                      py_0    conda-forge/label/cf201901
pylint                    2.4.4                    py36_0  
pyopenssl                 18.0.0                py36_1000    conda-forge/label/cf201901
pyparsing                 2.4.6                      py_0  
pyqt                      5.6.0            py36h8210e8a_8    conda-forge/label/cf201901
pyrsistent                0.14.9           py36h470a237_0    conda-forge/label/cf201901
pysocks                   1.6.8                 py36_1002    conda-forge/label/cf201901
pytest                    4.1.0                 py36_1000    conda-forge/label/cf201901
python                    3.6.10               h0371630_0  
python-crfsuite           0.9.6            py36h2d50403_0    conda-forge/label/cf201901
python-dateutil           2.8.1                      py_0  
python-jose               2.0.2                      py_0    conda-forge/label/cf201901
pytorch                   0.4.1            py36ha74772b_0  
pytorch-pretrained-bert   0.1.2                 py36_1000    conda-forge/label/cf201901
pytz                      2017.3                   py36_3    conda-forge/label/cf201901
pyyaml                    3.13             py36h470a237_1    conda-forge/label/cf201901
pyzmq                     18.1.0           py36he6710b0_0  
qt                        5.6.3                h8bf5577_3  
qtconsole                 4.6.0                      py_1  
readline                  7.0                  h7b6447c_5  
regex                     2017.11.09               py36_0    conda-forge/label/cf201901
requests                  2.21.0                py36_1000    conda-forge/label/cf201901
requests-oauthlib         1.0.0                      py_1    conda-forge/label/cf201901
responses                 0.9.0                      py_0    conda-forge/label/cf201901
rsa                       3.4.2                      py_1    conda-forge/label/cf201901
s3transfer                0.1.13                py36_1001    conda-forge/label/cf201901
scikit-learn              0.20.1           py36h4989274_0  
scipy                     1.1.0            py36hfa4b5c9_1  
send2trash                1.5.0                      py_0    conda-forge/label/cf201901
setuptools                40.6.3                   py36_0    conda-forge/label/cf201901
sip                       4.18.1           py36hfc679d8_0    conda-forge/label/cf201901
six                       1.12.0                py36_1000    conda-forge/label/cf201901
smart_open                1.9.0                      py_0  
snowballstemmer           1.2.1                      py_1    conda-forge/label/cf201901
spacy                     2.0.13           py36hf8a1672_0    conda-forge/label/cf201901
sparqlwrapper             1.8.2                 py36_1000    conda-forge/label/cf201901
sphinx                    1.8.3                 py36_1000    conda-forge/label/cf201901
sphinxcontrib-websupport  1.1.0                      py_1    conda-forge/label/cf201901
sqlite                    3.30.1               h7b6447c_0  
sqlparse                  0.2.4                      py_0    conda-forge/label/cf201901
tbb                       2019.3               h2d50403_0    conda-forge/label/cf201901
tbb4py                    2019.3           py36h2d50403_0    conda-forge/label/cf201901
tensorboardx              1.2                        py_0    conda-forge/label/cf201901
termcolor                 1.1.0                      py_2    conda-forge/label/cf201901
terminado                 0.8.1                 py36_1001    conda-forge/label/cf201901
testpath                  0.4.4                      py_0  
thinc                     6.10.3           py36hf8a1672_3    conda-forge/label/cf201901
tk                        8.6.8                hbc83047_0  
toolz                     0.9.0                      py_1    conda-forge/label/cf201901
tornado                   5.1.1            py36h470a237_0    conda-forge/label/cf201901
tqdm                      4.41.1                     py_0  
traitlets                 4.3.2                 py36_1000    conda-forge/label/cf201901
twython                   3.7.0                      py_0    conda-forge/label/cf201901
typed-ast                 1.4.1            py36h7b6447c_0  
ujson                     1.35             py36h470a237_1    conda-forge/label/cf201901
unidecode                 1.0.23                     py_0    conda-forge/label/cf201901
urllib3                   1.24.1                py36_1000    conda-forge/label/cf201901
wcwidth                   0.1.7                      py_1    conda-forge/label/cf201901
webencodings              0.5.1                      py_1    conda-forge/label/cf201901
websocket-client          0.54.0                py36_1000    conda-forge/label/cf201901
werkzeug                  0.14.1                     py_0    conda-forge/label/cf201901
wheel                     0.32.3                   py36_0    conda-forge/label/cf201901
widgetsnbextension        3.5.1                    py36_0  
wrapt                     1.11.0           py36h470a237_0    conda-forge/label/cf201901
xmltodict                 0.11.0                     py_1    conda-forge/label/cf201901
xz                        5.2.4                h14c3975_4  
yaml                      0.1.7                h470a237_1    conda-forge/label/cf201901
zeromq                    4.3.1                he6710b0_3  
zipp                      0.6.0                      py_0  
zlib                      1.2.11               h7b6447c_3  


Details about conda and system ( conda info ):
$ conda info

     active environment : MTNCI
    active env location : /home/vmanuel/.conda/envs/MTNCI
            shell level : 2
       user config file : /home/vmanuel/.condarc
 populated config files : /home/vmanuel/.condarc
          conda version : 4.5.11
    conda-build version : 3.15.1
         python version : 3.7.0.final.0
       base environment : /datahdd/vmanuel/anaconda3  (read only)
           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
                          https://repo.anaconda.com/pkgs/pro/linux-64
                          https://repo.anaconda.com/pkgs/pro/noarch
          package cache : /datahdd/vmanuel/anaconda3/pkgs
                          /home/vmanuel/.conda/pkgs
       envs directories : /home/vmanuel/.conda/envs
                          /datahdd/vmanuel/anaconda3/envs
               platform : linux-64
             user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/4.15.0-54-generic ubuntu/18.04 glibc/2.27
                UID:GID : 1007:1007
             netrc file : None
           offline mode : False

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