Cookie cutter recipe for dflow OP. The fastest way to template a new dflow OP package.

For the package structure produced by the OP cutter, see the dflow-hello demo OP.

$ pip install cookiecutter
$ cookiecutter https://github.com/deepmodeling/dflow-op-cutter.git
package_name [dflow-hello]: 
module_name [dflow_hello]: 
short_description [dflow demo OP]: 
github_user [deepmodeling]: 
github_repo [dflow-hello]: 
contact_email []: 
version [0.1.0]: 
author [deepmodeling]: 
dflow_min_version [1.0]: 
dockerhub_user [deepmodeling]: 
dockerhub_repo [dflow-hello]: 

This will produce the files and folder structure for your OP package, already adjusted for the name of your OP.

You are now ready to start development! See the README.md of your package (or of dflow-hello) for an explanation of the purpose of all generated files.