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dbbs-scaffold-3.3.0rc0


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توضیحات

A package for modelling morphologically detailed neuronal microcircuits.
ویژگی مقدار
سیستم عامل -
نام فایل dbbs-scaffold-3.3.0rc0
نام dbbs-scaffold
نسخه کتابخانه 3.3.0rc0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Robin De Schepper, Alice Geminiani, Alberto Antonietti, Stefano Casali, Claudia Casselato, Egidio D'Angelo
ایمیل نویسنده robingilbert.deschepper@unipv.it
آدرس صفحه اصلی https://github.com/dbbs-lab/scaffold
آدرس اینترنتی https://pypi.org/project/dbbs-scaffold/
مجوز GPLv3
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Build Status](https://travis-ci.com/Helveg/cerebellum-scaffold.svg?token=XSpW8taq6yXK53yq1am2&branch=master)](https://travis-ci.com/Helveg/cerebellum-scaffold) [![codecov](https://codecov.io/gh/Helveg/cerebellum-scaffold/branch/master/graph/badge.svg?token=iMOwEbV0AZ)](https://codecov.io/gh/Helveg/cerebellum-scaffold) **Note:** The scaffold framework is still under heavy development. Please check the **_Known Issues_** section at the bottom for important issues that fell victim to our deadlines and will be solved at a later date. # Scaffold: A scaffold model for the cerebellum This package is intended to facilitate spatially, topologically and morphologically detailed simulations of the cerebellum developed by the Department of Brain and Behavioral Sciences at the University of Pavia. ## Installation ### pip This software can be installed as a Python package from PyPI through pip: ``` sudo apt-get python3-rtree pip install dbbs-scaffold ``` **Note:** *Windows users will have to install Rtree from this website: https://www.lfd.uci.edu/~gohlke/pythonlibs/#rtree* ### Developers Developers best use pip's *editable* install. This creates a live link between the installed package and the local git repository: ``` sudo apt-get install python3-rtree git clone git@github.com:Helveg/cerebellum-scaffold.git cd cerebellum-scaffold pip install -e .[dev] --no-use-pep517 pre-commit install ``` ## Usage The scaffold model can be used through the command line interface or as a python package. ### Command line interface (CLI) Run the scaffold in the command line with subcommand `compile` to compile a network architecture. ``` scaffold --config=mouse_cerebellum.json compile -x=200 -y=200 -p ``` To run with different configurations, change the config argument to the relative path of a .json config file. The `-p` flag indicates that the compiled network should be plotted afterwards and can be omitted. ### Python package The central object is the `scaffold.core.Scaffold` class. This object requires a `scaffold.config.ScaffoldConfig` instance for its construction. To emulate the CLI functionality you can use the `JSONConfig` class and provide the relative path to the configuration file. ```python from scaffold import Scaffold from scaffold.config import JSONConfig config = new JSONConfig(file='mouse_cerebellum.json') scaffoldInstance = new Scaffold(config) ``` This scaffold instance can then be used to perform the subcommands available in the CLI by calling their corresponding functions: ```python scaffoldInstance.compile_network() ``` #### Plotting network architecture After calling `compile_network` the scaffold instance can be plotted: ```python scaffoldInstance.plot_network_cache() ``` # Known issues ## No configuration serialization When modifying the config object through scripts and then saving it to file, you'll store the original configuration file text, and you won't actually serialize the modified object We will fix this by version 3.2


نیازمندی

مقدار نام
>=2.9.0 h5py
>=1.16.4 numpy
>=1.3.1 scipy
>=0.20.3 scikit-learn
>=4.1.0 plotly
>=0.9.3 rtree
>=2.0.0 nrn-patch
- dbbs-models
- sphinx
>=0.4.3 sphinx-rtd-theme
- pyarmor
- pre-commit
- black


نحوه نصب


نصب پکیج whl dbbs-scaffold-3.3.0rc0:

    pip install dbbs-scaffold-3.3.0rc0.whl


نصب پکیج tar.gz dbbs-scaffold-3.3.0rc0:

    pip install dbbs-scaffold-3.3.0rc0.tar.gz