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A conda-smithy repository for skijumpdesign.

License: BSD 3-Clause "New" or "Revised" License

skijumpdesign-feedstock's Introduction

About skijumpdesign

Home: https://skijumpdesign.info

Package license: MIT

Feedstock license: BSD-3-Clause

Summary: Ski Jump Design and Analysis Tool For Specified Equivalent Fall Height

Development: https://gitlab.com/moorepants/skijumpdesign

A ski jump design and analysis tool for equivalent fall height based on the work presented in Levy, Dean, Mont Hubbard, James A. McNeil, and Andrew Swedberg. "A Design Rationale for Safer Terrain Park Jumps That Limit Equivalent Fall Height." Sports Engineering 18, no. 4 (December 2015): 227–39. https://doi.org/10.1007/s12283-015-0182-6. Includes a library for 2D skiing simulations and a graphical web application for designing and analyzing ski jumps. It is written in Python backed by NumPy, SciPy, SymPy, Cython, matplotlib, Pandas, Plotly, and Dash.

Current build status

All platforms:

Current release info

Name	Downloads	Version	Platforms

Installing skijumpdesign

Installing skijumpdesign 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, skijumpdesign can be installed with:

conda install skijumpdesign

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

conda search skijumpdesign --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 CircleCI, AppVeyor 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 skijumpdesign-feedstock

If you would like to improve the skijumpdesign 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/skijumpdesign-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

@moorepants

skijumpdesign-feedstock's People

Contributors

Watchers

Forkers

moorepants regro-cf-autotick-bot

skijumpdesign-feedstock's Issues

entry_point fails with syntax error on mac

Issue:

(ski) Yumikos-MacBook-Air:~ yumberry$ skijumpdesign
  File "/Users/yumberry/anaconda/envs/ski/bin/skijumpdesign", line 5
    from skijumpdesignapp import app.run_server
                                    ^
SyntaxError: invalid syntax
(ski) Yumikos-MacBook-Air:~ yumberry$ cat /Users/yumberry/anaconda/envs/ski/bin/skijumpdesign 
#!/Users/yumberry/anaconda/envs/ski/bin/python3.6
# -*- coding: utf-8 -*-
if __name__ == '__main__':
    from sys import exit
    from skijumpdesignapp import app.run_server
    exit(app.run_server())

note that skijumpdesignapp is a module, app is an object, and run_server() a method on app.

Environment (conda list):

$ conda list

(ski) Yumikos-MacBook-Air:~ yumberry$ conda list
# packages in environment at /Users/yumberry/anaconda/envs/ski:
#
# Name                    Version                   Build  Channel
asn1crypto                0.24.0                   py36_0  
blas                      1.0                         mkl  
ca-certificates           2018.03.07                    0  
certifi                   2018.4.16                py36_0  
cffi                      1.11.5           py36h342bebf_0  
chardet                   3.0.4            py36h96c241c_1  
click                     6.7              py36hec950be_0  
cryptography              2.2.2            py36h1de35cc_0  
cycler                    0.10.0           py36hfc81398_0  
cython                    0.28.2           py36h1de35cc_0  
dash                      0.21.1                     py_1    conda-forge
dash-core-components      0.22.1                     py_0    conda-forge
dash-html-components      0.10.1                     py_0    conda-forge
dash-renderer             0.12.1                     py_1    conda-forge
decorator                 4.3.0                    py36_0  
fastcache                 1.0.2            py36h1de35cc_2  
flask                     1.0.2                    py36_1  
flask-compress            1.4.0                      py_0    conda-forge
freetype                  2.8                  h12048fb_1  
gmp                       6.1.2                hb37e062_1  
gmpy2                     2.0.8            py36hf9c35bd_2  
idna                      2.6              py36h8628d0a_1  
intel-openmp              2018.0.0                      8  
ipython_genutils          0.2.0            py36h241746c_0  
itsdangerous              0.24             py36h49fbb8d_1  
jinja2                    2.10             py36hd36f9c5_0  
jsonschema                2.6.0            py36hb385e00_0  
jupyter_core              4.4.0            py36h79cf704_0  
kiwisolver                1.0.1            py36h792292d_0  
libcxx                    4.0.1                h579ed51_0  
libcxxabi                 4.0.1                hebd6815_0  
libedit                   3.1.20170329         hb402a30_2  
libffi                    3.2.1                h475c297_4  
libgfortran               3.0.1                h93005f0_2  
libopenblas               0.2.20               hdc02c5d_4  
libpng                    1.6.34               he12f830_0  
markupsafe                1.0              py36h3a1e703_1  
matplotlib                2.2.2            py36ha7267d0_0  
mkl                       2018.0.2                      1  
mkl_fft                   1.0.1            py36h917ab60_0  
mkl_random                1.0.1            py36h78cc56f_0  
mpc                       1.0.3                h7a72875_5  
mpfr                      3.1.5                h711e7fd_2  
mpmath                    1.0.0            py36hf1b8295_2  
nbformat                  4.4.0            py36h827af21_0  
ncurses                   6.1                  h0a44026_0  
numpy                     1.14.3           py36h9bb19eb_1  
numpy-base                1.14.3           py36h479e554_1  
openssl                   1.0.2o               h26aff7b_0  
pip                       10.0.1                   py36_0  
plotly                    2.6.0                    py36_0  
pycparser                 2.18             py36h724b2fc_1  
pyopenssl                 18.0.0                   py36_0  
pyparsing                 2.2.0            py36hb281f35_0  
pysocks                   1.6.8                    py36_0  
python                    3.6.5                hc167b69_1  
python-dateutil           2.7.3                    py36_0  
pytz                      2018.4                   py36_0  
readline                  7.0                  hc1231fa_4  
requests                  2.18.4           py36h4516966_1  
scipy                     1.1.0            py36hcaad992_0  
setuptools                39.1.0                   py36_0  
six                       1.11.0           py36h0e22d5e_1  
skijumpdesign             1.2.0                      py_1    conda-forge
sqlite                    3.23.1               hf1716c9_0  
sympy                     1.1.1            py36h7f3cf04_0  
tk                        8.6.7                h35a86e2_3  
tornado                   5.0.2                    py36_0  
traitlets                 4.3.2            py36h65bd3ce_0  
urllib3                   1.22             py36h68b9469_0  
werkzeug                  0.14.1                   py36_0  
wheel                     0.31.1                   py36_0  
xz                        5.2.4                h1de35cc_4  
zlib                      1.2.11               hf3cbc9b_2

Details about conda and system ( conda info ):

$ conda info
(ski) Yumikos-MacBook-Air:~ yumberry$ conda info

     active environment : ski
    active env location : /Users/yumberry/anaconda/envs/ski
            shell level : 1
       user config file : /Users/yumberry/.condarc
 populated config files : 
          conda version : 4.5.4
    conda-build version : 3.10.4
         python version : 2.7.15.final.0
       base environment : /Users/yumberry/anaconda  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/osx-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/osx-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/osx-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/pro/osx-64
                          https://repo.anaconda.com/pkgs/pro/noarch
          package cache : /Users/yumberry/anaconda/pkgs
                          /Users/yumberry/.conda/pkgs
       envs directories : /Users/yumberry/anaconda/envs
                          /Users/yumberry/.conda/envs
               platform : osx-64
             user-agent : conda/4.5.4 requests/2.18.4 CPython/2.7.15 Darwin/17.5.0 OSX/10.13.4
                UID:GID : 501:20
             netrc file : None
           offline mode : False

Appveyor runs (and fails) even though this package is noarch

Issue:

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info

Builds are failing

conda-forge/conda-smithy#762

Issue:

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info

noarch doesn't seem to create the windows entry point

Issue: On unix, after install, the user can simply type skijumpdesign to launch the web app, but on windows the entry point is not on the path, so the user must type the full path.

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info

I installed the package on windows but the entry point is not present. I think that the skijumpdesign.exe file is not created with the noarch specification because it builds on linux.

skijump.css is not packaged in the binary

Issue:

The distribution has dist_root/static/skijump.css which conda places into the tar ball's top level but it needs to be in tarball.gz/site-packages/static/skijump.css.

Environment (conda list):

$ conda list

Details about conda and system ( conda info ):

$ conda info

conda-forge / skijumpdesign-feedstock Goto Github PK

skijumpdesign-feedstock's Introduction

About skijumpdesign

Current build status

Current release info

Installing skijumpdesign

About conda-forge

Terminology

Updating skijumpdesign-feedstock

Feedstock Maintainers

skijumpdesign-feedstock's People

Contributors

Watchers

Forkers

skijumpdesign-feedstock's Issues

Recommend Projects

Recommend Topics

Recommend Org