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autodepgraph-0.3.5


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توضیحات

automated tuning based on dependency graph
ویژگی مقدار
سیستم عامل -
نام فایل autodepgraph-0.3.5
نام autodepgraph
نسخه کتابخانه 0.3.5
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Adriaan Rol et al
ایمیل نویسنده adriaan.rol@gmail.com
آدرس صفحه اصلی https://github.com/AdriaanRol/AutoDepGraph
آدرس اینترنتی https://pypi.org/project/autodepgraph/
مجوز MIT
# AutoDepGraph [![PyPI](https://img.shields.io/pypi/v/autodepgraph.svg)](https://pypi.python.org/pypi/autodepgraph) [![Build Status](https://travis-ci.org/AdriaanRol/AutoDepGraph.svg?branch=master)](https://travis-ci.org/AdriaanRol/AutoDepGraph) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/ae46c58617ff45df9ac98446b3dc34ac)](https://www.codacy.com/app/adriaan-rol/AutoDepGraph?utm_source=github.com&utm_medium=referral&utm_content=AdriaanRol/AutoDepGraph&utm_campaign=Badge_Grade) [![Coverage Status](https://coveralls.io/repos/github/AdriaanRol/AutoDepGraph/badge.svg?branch=master)](https://coveralls.io/github/AdriaanRol/AutoDepGraph?branch=master) [![DOI](https://zenodo.org/badge/85987885.svg)](https://zenodo.org/badge/latestdoi/85987885) AutoDepGraph is a framework for using dependency graphs to calibrate a system. It is heavily inspired by ["Physical qubit calibration on a directed acyclic graph"](https://arxiv.org/abs/1803.03226). ## Overview AutoDepGraph consists of two main classes, the CalibrationNode and the Graph. Calibration is done by calling a node that one wants to execute, the node contains the logic required to satisfy the nodes it depends on (parents). A CalibrationNode contains: - parameters - state + Good (green): check passes + needs calibration (yellow): calibration is not up to date anymore and needs to be updated + Bad (red): calibration or check has failed + unknown (grayed): checks of the node should be run + active (blue): calibration or check in progress - parents: the nodes it depends on - children: nodes that depend on this node - check_function : name of function to be executed when check is called. This can be a method of another instrument. - calibrate_function : name of function to be executed when calibrate is called. This can be a method of another instrument. - calibration_timeout: time in (s) after which a calibration times out. - function - execute or call + Performs the logic of a node (check state, satisfy requirements) with the goal of moving to a "good" state - check + Performs checks to determine and the state of a node - calibrate + Executes the calibration routines of the node A Graph is a container of nodes, it is used for: - new graphs can be created by instantiating a graph and then using the add_node method to define new nodes. - loading and saving the graph - real-time visualization using pyqtgraph - state of the node determines color of a node - if a node has no calibrate function defined it is a manual node and has a hexagonal instead of a circle as symbol - mouseover information lists more properties (planned) ![Example calibration graph](docs/example_graph.png) ## Examples For an introductory example see the example notebook. If you want to see how to use a specific function, see the tests located in the autodepgraph/tests folder. ## Installation - Clone the repository - install the [requirements](requirements.txt) - navigate to the repository and run `pip install -e .` - verify success of installation by running `py.test` #### N.B. windows can be "problematic" Installation on windows is a bit more difficult, this relates mostly to the installation of pygraphviz. To install graphviz and pygraphviz on windows follow these steps: - get the 64 bit version of ![graphviz for windows](https://github.com/mahkoCosmo/GraphViz_x64/), copy it to e.g., program files and add the bin folder to the system path. - the 64 bit version lacks the libxml2.dll, you most likely have this from some other program. You can find this by searching for `libxml2.dll` in the program files folder. After that just copy paste it to the bin folder of graphviz. - get pygraphviz by downloading the master from github. - Now you will need to edit pygraphviz/graphviz.i and pygraphviz/graphviz_wrap.c according to the changes at https://github.com/Kagami/pygraphviz/tree/py3-windows-iobase. A reference can be found in the _install folder - Next install using ``` python setup.py install --include-path="C:\Program Files\graphviz-2.38_x64\include" --library-path="C:\Program Files\graphviz-2.38_x64\lib" ``` - then install autodepgraph and test the installation using `py.test` ## Acknowledgements I would like to thank Julian Kelly for the idea of using a dependency graph for calibrations and for early discussions. I would like to thank Joe Weston for discussions and help in working out the initial design. I would like to acknowledge Livio Ciorciaro for disucssions and as a coauthor of this project.


نیازمندی

مقدار نام
>=2.0 networkx


نحوه نصب


نصب پکیج whl autodepgraph-0.3.5:

    pip install autodepgraph-0.3.5.whl


نصب پکیج tar.gz autodepgraph-0.3.5:

    pip install autodepgraph-0.3.5.tar.gz