dipy-feedstock's Introduction

About dipy-feedstock

Feedstock license: BSD-3-Clause

Package license: BSD-3-Clause

Summary: Diffusion MR Imaging in Python

Current build status

Azure

Variant	Status
linux_64_numpy1.22python3.10.____cpython
linux_64_numpy1.22python3.8.____cpython
linux_64_numpy1.22python3.9.____cpython
linux_64_numpy1.23python3.11.____cpython
linux_64_numpy1.26python3.12.____cpython
osx_64_numpy1.22python3.10.____cpython
osx_64_numpy1.22python3.8.____cpython
osx_64_numpy1.22python3.9.____cpython
osx_64_numpy1.23python3.11.____cpython
osx_64_numpy1.26python3.12.____cpython
osx_arm64_numpy1.22python3.10.____cpython
osx_arm64_numpy1.22python3.8.____cpython
osx_arm64_numpy1.22python3.9.____cpython
osx_arm64_numpy1.23python3.11.____cpython
osx_arm64_numpy1.26python3.12.____cpython
win_64_numpy1.22python3.10.____cpython
win_64_numpy1.22python3.8.____cpython
win_64_numpy1.22python3.9.____cpython
win_64_numpy1.23python3.11.____cpython
win_64_numpy1.26python3.12.____cpython

Current release info

Name	Downloads	Version	Platforms

Installing dipy

Installing dipy 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, dipy can be installed with conda:

conda install dipy

or with mamba:

mamba install dipy

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

conda search dipy --channel conda-forge

or with mamba:

mamba search dipy --channel conda-forge

Alternatively, mamba repoquery may provide more information:

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

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

# List dependencies of `dipy`:
mamba repoquery depends dipy --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.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 dipy-feedstock

If you would like to improve the dipy 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/dipy-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

dipy-feedstock's People

Contributors

Stargazers

Watchers

dipy-feedstock's Issues

Require VTK 7.1.0 or higher

Appveyor builds with a wrong version of MVS

According to @Garyfallidis: it should be visual studio 15 and not 14.

Does anyone on the @conda-forge/core team know how to make this happen?

conda crash on appveyor build

On PR #16, It seems that Conda installation crash as you can see here

Did I do something wrong @arokem and @conda-forge/core team?

Below, the error:

Build started
git clone -q https://github.com/conda-forge/dipy-feedstock.git C:\projects\dipy-feedstock
git fetch -q origin +refs/pull/16/merge:
git checkout -qf FETCH_HEAD
Running Install scripts
powershell -Command "(New-Object Net.WebClient).DownloadFile('https://raw.githubusercontent.com/conda-forge/conda-forge-build-setup-feedstock/master/recipe/ff_ci_pr_build.py', 'ff_ci_pr_build.py')"
ff_ci_pr_build -v --ci "appveyor" "%APPVEYOR_ACCOUNT_NAME%/%APPVEYOR_PROJECT_SLUG%" "%APPVEYOR_BUILD_NUMBER%" "%APPVEYOR_PULL_REQUEST_NUMBER%"
Checking to see if this PR build is outdated.
del ff_ci_pr_build.py
rmdir C:\cygwin /s /q
call %CONDA_INSTALL_LOCN%\Scripts\activate.bat
Activating environment "C:\Miniconda"...
conda update --yes --quiet conda
Fetching package metadata: ....
.Solving package specifications: .
An unexpected error has occurred, please consider sending the
following traceback to the conda GitHub issue tracker at:
    https://github.com/conda/conda/issues
Include the output of the command 'conda info' in your report.
Traceback (most recent call last):
  File "C:\Miniconda\Scripts\conda-script.py", line 5, in <module>
    sys.exit(main())
  File "C:\Miniconda\lib\site-packages\conda\cli\main.py", line 139, in main
    args_func(args, p)
  File "C:\Miniconda\lib\site-packages\conda\cli\main.py", line 146, in args_func
    args.func(args, p)
  File "C:\Miniconda\lib\site-packages\conda\cli\main_update.py", line 64, in execute
    install.install(args, parser, 'update')
  File "C:\Miniconda\lib\site-packages\conda\cli\install.py", line 334, in install
    update_deps=args.update_deps)
  File "C:\Miniconda\lib\site-packages\conda\plan.py", line 413, in install_actions
    pkgs = r.install(specs, [d + '.tar.bz2' for d in linked], update_deps=update_deps)
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 875, in install
    pkgs = self.solve(specs, len0=len0, returnall=returnall)
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 909, in solve
    dists, new_specs = self.get_dists(specs)
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 399, in get_dists
    specs, removes, optional, features = self.verify_specs(specs)
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 391, in verify_specs
    bad_deps.extend(self.invalid_chains(ms, filter))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 359, in invalid_chains
    return chains_(spec)
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-packages\conda\resolve.py", line 357, in chains_
    notfound.update(chains_(m2))
  File "C:\Miniconda\lib\site-pa

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