Giter VIP home page Giter VIP logo

Comments (6)

mperrin avatar mperrin commented on June 8, 2024
  • add tests for offset_x, offset_y', androtation` options to AnalyticOpticalElements. See #7.

from poppy.

mperrin avatar mperrin commented on June 8, 2024

Now we have coveralls working again so it's somewhat more user friendly to address this.
https://coveralls.io/github/mperrin/poppy

The big offender on lacking coverage is the display code, which doesn't get exercised in the existing test suite basically at all. @josePhoenix do you have any experience in best practices for writing tests on matplotlib code? Can you think of anyone here we could chat with?

I'm not even sure what level of thoroughness we should target. It might be enough to just ensure all the plotting and display code runs without crashing on various test case inputs, without putting much/any effort into pixel-level evaluation of correctness of the outputs. Limited resources and this isn't our top priority but I'd like to at least take a first order pass at not totally neglecting about a quarter of the overall codebase.

from poppy.

josePhoenix avatar josePhoenix commented on June 8, 2024

This gets back at what I brought up a while ago re: using the object-oriented API instead of PyPlot. Trying to test code that uses PyPlot means you have to understand how to query the PyPlot state machine... which I don't relish the thought of. Of course, pixel-wise comparisons of output plots would also work, and that is in fact how matplotlib tests itself. The PNG backend uses the same Agg library as the display ones, so we can be confident that correctly producing the PNG means users will see the Right Thing.

from poppy.

josePhoenix avatar josePhoenix commented on June 8, 2024

Reference: http://aosabook.org/en/matplotlib.html#fig.matplotlib.regression

from poppy.

mperrin avatar mperrin commented on June 8, 2024

I like the idea from that reference of putting together a few end-to-end tests, comparing the results to static pre-generated PNGs, and using a thresholded histogram of the results. I'm totally willing to buy their point that such an approach is more efficient than trying to write lots of little individual unit tests.

from poppy.

josePhoenix avatar josePhoenix commented on June 8, 2024

There are some utilities in matplotlib.testing.compare that we could probably repurpose. They use nosetests instead of pytest, so I don't think we can grab their decorator as-is.

from poppy.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.