conda-forge / librosa-feedstock

A conda-smithy repository for librosa.

About librosa-feedstock

Feedstock license: BSD-3-Clause

Home: http://github.com/librosa/librosa

Package license: ISC

Summary: Python module for audio and music processing

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing librosa

Installing librosa 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, librosa can be installed with conda:

conda install librosa

or with mamba:

mamba install librosa

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

conda search librosa --channel conda-forge

or with mamba:

mamba search librosa --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

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

About conda-forge

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-Cloud 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 librosa-feedstock

If you would like to improve the librosa 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/librosa-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

• @bmcfee

librosa-feedstock's Issues

Add 3.6 support

3.6 support may depend on a few other packages getting up to speed, eg, audioread.

beetbox/audioread#42

Conda installs 0.6.3 instead of 0.7.x

Hello there. :-)
Issue:
This issue "moved" from librosa (librosa/librosa#1060) to conda (conda/conda#9607) and now it's here. By using the command conda install -c conda-forge librosa on Windows conda installs version 0.6.3. This happened on two different Windows-computers so far. The installation process on Mac worked correctly. To reproduce my thesis' environment I installed pandas first and then librosa.

In another environment I tried to install librosa 0.7.2 via conda install -c conda-forge librosa, but the installation process failed with the following output:

(librosaTest_new2) C:\Users\Fiona\PycharmProjects\librosaTest>conda install -c conda-forge librosa=0.7.2
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:



Package vs2015_runtime conflicts for:
python=3.7 -> vs2015_runtime[version='>=14.16.27012,<15.0a0']
Package audioread conflicts for:
librosa=0.7.2 -> audioread[version='>=2.0.0']
Package openssl conflicts for:
python=3.7 -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a|>=1.1.1d,<1.1.2a']
Package joblib conflicts for:
librosa=0.7.2 -> joblib[version='>=0.12.0']
Package decorator conflicts for:
librosa=0.7.2 -> decorator[version='>=3.0.0']
Package scipy conflicts for:
librosa=0.7.2 -> scipy[version='>=1.0.0']
Package numpy conflicts for:
librosa=0.7.2 -> numpy[version='>=1.15.0']
Package resampy conflicts for:
librosa=0.7.2 -> resampy[version='>=0.2.0']
Package sqlite conflicts for:
python=3.7 -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0|>=3.30.1,<4.0a0']
Package setuptools conflicts for:
librosa=0.7.2 -> setuptools
Package scikit-learn conflicts for:
librosa=0.7.2 -> scikit-learn[version='>=0.14.0,!=0.19.0']
Package numba conflicts for:
librosa=0.7.2 -> numba[version='>=0.38.0']
Package pip conflicts for:
python=3.7 -> pip
Package matplotlib conflicts for:
librosa=0.7.2 -> matplotlib[version='>=1.5.0']
Package six conflicts for:
librosa=0.7.2 -> six[version='>=1.3']
Package pysoundfile conflicts for:
librosa=0.7.2 -> pysoundfile[version='>=0.9.0']
Package vc conflicts for:
python=3.7 -> vc[version='14.*|>=14,<15.0a0|>=14.1,<15.0a0']

Environment (conda list):

This is the environment throwing that error from above:

(librosaTest_new2) C:\Users\Fiona\PycharmProjects\librosaTest>conda list
# packages in environment at C:\Users\Fiona\Anaconda3\envs\librosaTest_new2:
#
# Name                    Version                   Build  Channel
ca-certificates           2019.11.28           hecc5488_0    conda-forge
certifi                   2019.11.28               py37_0    conda-forge
intel-openmp              2019.4                      245
libblas                   3.8.0                    14_mkl    conda-forge
libcblas                  3.8.0                    14_mkl    conda-forge
liblapack                 3.8.0                    14_mkl    conda-forge
mkl                       2019.4                      245
numpy                     1.17.3           py37hc71023c_0    conda-forge
openssl                   1.1.1d               hfa6e2cd_0    conda-forge
pandas                    0.25.3           py37he350917_0    conda-forge
pip                       19.3.1                   py37_0    conda-forge
python                    3.7.6                h5b45d93_2    conda-forge
python-dateutil           2.8.1                      py_0    conda-forge
pytz                      2019.3                     py_0    conda-forge
setuptools                45.0.0                   py37_1    conda-forge
six                       1.14.0                   py37_0    conda-forge
sqlite                    3.30.1               hfa6e2cd_0    conda-forge
vc                        14.1                 h0510ff6_4
vs2015_runtime            14.16.27012          hf0eaf9b_1
wheel                     0.33.6                   py37_0    conda-forge
wincertstore              0.2                   py37_1003    conda-forge

This is my environment with "successful" librosa installation (but with wrong version).

(librosaTest_new) C:\Users\Fiona\PycharmProjects\librosaTest>conda list
# packages in environment at C:\Users\Fiona\Anaconda3\envs\librosaTest_new:
#
# Name                    Version                   Build  Channel
audioread                 2.1.8                    py37_1    conda-forge
blas                      1.0                         mkl
ca-certificates           2019.11.28           hecc5488_0    conda-forge
certifi                   2019.11.28               py37_0    conda-forge
cycler                    0.10.0                     py_2    conda-forge
decorator                 4.4.1                      py_0    conda-forge
freetype                  2.10.0               h563cfd7_1    conda-forge
icc_rt                    2019.0.0             h0cc432a_1
icu                       64.2                 he025d50_1    conda-forge
intel-openmp              2019.4                      245
joblib                    0.14.1                     py_0    conda-forge
jpeg                      9c                hfa6e2cd_1001    conda-forge
kiwisolver                1.1.0            py37he980bc4_0    conda-forge
libblas                   3.8.0                    14_mkl    conda-forge
libcblas                  3.8.0                    14_mkl    conda-forge
libclang                  9.0.1           default_hf44288c_0    conda-forge
liblapack                 3.8.0                    14_mkl    conda-forge
libpng                    1.6.37               h7602738_0    conda-forge
librosa                   0.6.3                      py_0    conda-forge
llvmlite                  0.31.0                   py37_0    conda-forge
matplotlib                3.1.2                    py37_1    conda-forge
matplotlib-base           3.1.2            py37h2981e6d_1    conda-forge
mkl                       2019.4                      245
mkl-service               2.3.0            py37hfa6e2cd_0    conda-forge
numba                     0.47.0           py37h67a5e14_0    conda-forge
numpy                     1.17.3           py37hc71023c_0    conda-forge
openssl                   1.1.1d               hfa6e2cd_0    conda-forge
pandas                    0.25.3           py37he350917_0    conda-forge
pip                       19.3.1                   py37_0    conda-forge
pyparsing                 2.4.6                      py_0    conda-forge
pyqt                      5.12.3           py37h6538335_1    conda-forge
pyqt5-sip                 4.19.18                  pypi_0    pypi
pyqtwebengine             5.12.1                   pypi_0    pypi
python                    3.7.6                h5b45d93_2    conda-forge
python-dateutil           2.8.1                      py_0    conda-forge
pytz                      2019.3                     py_0    conda-forge
qt                        5.12.5               h7ef1ec2_0    conda-forge
resampy                   0.2.2                      py_0    conda-forge
scikit-learn              0.22.1           py37h7208079_1    conda-forge
scipy                     1.3.1            py37h29ff71c_0    conda-forge
setuptools                45.0.0                   py37_1    conda-forge
six                       1.14.0                   py37_0    conda-forge
sqlite                    3.30.1               hfa6e2cd_0    conda-forge
tornado                   6.0.3            py37hfa6e2cd_0    conda-forge
vc                        14.1                 h0510ff6_4
vs2015_runtime            14.16.27012          hf0eaf9b_1
wheel                     0.33.6                   py37_0    conda-forge
wincertstore              0.2                   py37_1003    conda-forge
zlib                      1.2.11            h2fa13f4_1006    conda-forge

Details about conda and system ( conda info ):

I'll only post the first environment's information here, because the information only differs in their names.

     active environment : librosaTest_new
    active env location : C:\Users\Fiona\Anaconda3\envs\librosaTest_new
            shell level : 1
       user config file : C:\Users\Fiona\.condarc
 populated config files : C:\Users\Fiona\.condarc
          conda version : 4.8.1
    conda-build version : 3.18.9
         python version : 3.7.4.final.0
       virtual packages : __cuda=10.2
       base environment : C:\Users\Fiona\Anaconda3  (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/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\Fiona\Anaconda3\pkgs
                          C:\Users\Fiona\.conda\pkgs
                          C:\Users\Fiona\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\Fiona\Anaconda3\envs
                          C:\Users\Fiona\.conda\envs
                          C:\Users\Fiona\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.8.1 requests/2.22.0 CPython/3.7.4 Windows/10 Windows/10.0.18362
          administrator : False
             netrc file : None
           offline mode : False

Fix sklearn dependency

sklearn=0.19.0 introduced a bug in librosa's cache manager; we should skip this one in the conda install dependencies.