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fzf-feedstock's Introduction

About fzf-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/junegunn/fzf

Package license: MIT

Summary: A command-line fuzzy finder

Current build status

Travis linux
Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
linux_ppc64le variant
osx_64 variant
osx_arm64 variant
win_64 variant

Current release info

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

Installing fzf

Installing fzf 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, fzf can be installed with conda:

conda install fzf

or with mamba:

mamba install fzf

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

conda search fzf --channel conda-forge

or with mamba:

mamba search fzf --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

# List dependencies of `fzf`:
mamba repoquery depends fzf --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 fzf-feedstock

If you would like to improve the fzf 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/fzf-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

fzf-feedstock's People

Contributors

beckermr avatar conda-forge-admin avatar conda-forge-curator[bot] avatar dbast avatar github-actions[bot] avatar jonashaag avatar regro-cf-autotick-bot avatar xhochy avatar

Watchers

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fzf-feedstock's Issues

fzf-tmux not installed by conda install

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

Running conda install -c conda-forge fzf can install fzf, which works fine outside tmux, but fzf-tmux is missing in the Conda env bin directory (e.g. /home/u/miniconda3/envs/py310/bin).

The symptom reproduced in Ubuntu 22 and CentOS 7.

fzf-tmux is installed bybrew install fzf (at least in macOS).

Installed packages

# packages in environment at /home/u/miniconda3/envs/py310:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main
_openmp_mutex             5.1                       1_gnu
bzip2                     1.0.8                h7b6447c_0
ca-certificates           2023.12.12           h06a4308_0
ld_impl_linux-64          2.38                 h1181459_1
libffi                    3.4.4                h6a678d5_0
libgcc-ng                 11.2.0               h1234567_1
libgomp                   11.2.0               h1234567_1
libstdcxx-ng              11.2.0               h1234567_1
libuuid                   1.41.5               h5eee18b_0
ncurses                   6.4                  h6a678d5_0
openssl                   3.0.13               h7f8727e_0
pip                       23.3.1          py310h06a4308_0
python                    3.10.13              h955ad1f_0
readline                  8.2                  h5eee18b_0
setuptools                68.2.2          py310h06a4308_0
sqlite                    3.41.2               h5eee18b_0
tk                        8.6.12               h1ccaba5_0
tzdata                    2023d                h04d1e81_0
wheel                     0.41.2          py310h06a4308_0
xz                        5.4.5                h5eee18b_0
zlib                      1.2.13               h5eee18b_0

Environment info

active environment : py310
    active env location : /home/u/miniconda3/envs/py310
            shell level : 2
       user config file : /home/u/.condarc
 populated config files :
          conda version : 23.11.0
    conda-build version : not installed
         python version : 3.10.13.final.0
                 solver : libmamba (default)
       virtual packages : __archspec=1=skylake
                          __conda=23.11.0=0
                          __glibc=2.35=0
                          __linux=4.19.104=0
                          __unix=0=0
       base environment : /home/u/miniconda3  (writable)
      conda av data dir : /home/u/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : 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/u/miniconda3/pkgs
                          /home/u/.conda/pkgs
       envs directories : /home/u/miniconda3/envs
                          /home/u/.conda/envs
               platform : linux-64
             user-agent : conda/23.11.0 requests/2.31.0 CPython/3.10.13 Linux/4.19.104-microsoft-standard ubuntu/22.04.3 glibc/2.35 solver/libmamba conda-libmamba-solver/23.12.0 libmambapy/1.5.3
                UID:GID : 1000:1000
             netrc file : /home/u/.netrc
           offline mode : False

Recommended usage of shell integration

Issue:

Shell integration features from fzf are very handy, allowing for fuzzy finding of bash history, files in the local directory, and so on with just a keypress. On installation with homebrew, for example, a helpful message is output indicating how to enable the shell integration (ref)

It may be worth mentioning in the documentation that shell integration can be enabled by way of:

source $CONDA_PREFIX/share/fzf/shell/completion.bash
source $CONDA_PREFIX/share/fzf/shell/key-bindings.bash

It'd be neat to have this configured in a conda activation script, but I can understand why that might be considered a bad idea for the general case.

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