ó ˆpühàãóð•SrSSKrSSK7 SSKJr SSKJr SSKJrJ r J r J r J r J r JrJrJrJrJrJrJr SSKJr SS KJr SS KJr /S Qr\R2(dS \R4;d \"S 5 ggg)aØ ===== PyPhi ===== PyPhi is a Python library for computing integrated information. If you use this software in your research, please cite the paper: Mayner WGP, Marshall W, Albantakis L, Findlay G, Marchman R, Tononi G. (2018). PyPhi: A toolbox for integrated information theory. PLOS Computational Biology 14(7): e1006343. https://doi.org/10.1371/journal.pcbi.1006343 Online documentation is available at ``_. For general discussion, you are welcome to join the `pyphi-users group `_. To report issues, please use the issue tracker on the `GitHub repository `_. Bug reports and pull requests are welcome. Usage ~~~~~ The |Network| object is the main object on which computations are performed. It represents the network of interest. The |Subsystem| object is the secondary object; it represents a subsystem of a network. |big_phi| is a function of subsystems. The |compute| module is the main entry-point for the library. It contains methods for calculating concepts, cause-effect structures, complexes, etc. See its documentation for details. Configuration (optional) ~~~~~~~~~~~~~~~~~~~~~~~~ There are several package-level options that control aspects of the computation. These are loaded from a YAML configuration file, ``pyphi_config.yml``. **This file must be in the directory where PyPhi is run**. If there is no such file, the default configuration will be used. You can download an example configuration file `here `_. See the documentation for the |config| module for a description of the options and their defaults. éNé)Ú*)Úconfig)Ú Direction) ÚactualÚ constantsÚconvertÚdbÚexamplesÚjsonifyÚmacroÚmodelsÚnetworkÚnodeÚ subsystemÚutilsÚvalidate)ÚNetwork)Ú Subsystem)Ú Transition)rrrrrr r r r r rrrrrrÚPYPHI_WELCOME_OFFac Welcome to PyPhi! If you use PyPhi in your research, please cite the paper: Mayner WGP, Marshall W, Albantakis L, Findlay G, Marchman R, Tononi G. (2018). PyPhi: A toolbox for integrated information theory. PLOS Computational Biology 14(7): e1006343. https://doi.org/10.1371/journal.pcbi.1006343 Documentation is available online (or with the built-in `help()` function): https://pyphi.readthedocs.io To report issues, please use the issue tracker on the GitHub repository: https://github.com/wmayner/pyphi For general discussion, you are welcome to join the pyphi-users group: https://groups.google.com/forum/#!forum/pyphi-users To suppress this message, either: - Set `WELCOME_OFF: true` in your `pyphi_config.yml` file, or - Set the environment variable PYPHI_WELCOME_OFF to any value in your shell: export PYPHI_WELCOME_OFF='yes' )Ú__doc__ÚosÚ __about__ÚconfrÚ directionrÚrrr r r r r rrrrrrrrrÚ__all__Ú WELCOME_OFFÚenvironÚprint©óÚH/home/james-whalen/.local/lib/python3.13/site-packages/pyphi/__init__.pyÚr%spðñ5ón äõå ÷B÷B÷BõBåÝ Ýò -€ð ××Ð1°R·Z±ZÓ?Ù ð õð@Ðr#