✔️ Visual, reactive testing library for Julia. Time machine included.

Overview

PlutoTest.jl (alpha release)

Visual, reactive testing library for Julia

A macro @test that you can use to verify your code's correctness. But instead of just saying "Pass" or "Fail", let's try to show you why a test failed.

  • time travel to replay the execution step-by-step
  • ⭐️ multimedia display ⭐️ to make results easy to read

Demo screencap

Try this demo in your browser

Install & use

First, update Pluto to at least 0.15! That's it, Pluto will automatically install the package when you import/using it.

Inside your notebook, use the @test macro to test whether something returns true:

julia> using PlutoTest

julia> @test 1 + 1 == 2

This package is still an alpha release, don't use it to @test is_safe(crazy_new_bike_design).

Reactive

This testing library is designed to be used inside Pluto.jl, a reactive notebook. If you write your tests in the same notebook as your code, then Pluto will automatically re-run the affected tests after you make a change. Tests that are unaffected will not need to re-run. Neat!

Navigation

When a test gets re-run and it fails outside of your viewport, you will be notified with a red dot on the edge of the screen. You can click on a dot to jump to the test, multiple dots indicate multiple tests.

(Only enabled on Chrome and Firefox for now.)

Future: GitHub Action

In the future, it will be easy to run Pluto-based, PlutoTest-based tests automatically on GitHub Actions or Travis CI. In addition to running your tests, it will upload a rendered notebook as artifact to the test run (sample). If a test failed, you can open the notebook and see why.

How does it work?

Take a look at the source code! (It's a Pluto notebook 🌝 )

You might also like...
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo

A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.
A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

Description A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization co

Accelerated SMPL operation, commonly used in generate 3D human mesh, STAR included.

SMPL2 An enchanced and accelerated SMPL operation which commonly used in 3D human mesh generation. It takes a poses, shapes, cam_trans as inputs, outp

improvement of CLIP features over the traditional resnet features on the visual question answering, image captioning, navigation and visual entailment tasks.

CLIP-ViL In our paper "How Much Can CLIP Benefit Vision-and-Language Tasks?", we show the improvement of CLIP features over the traditional resnet fea

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

Feature Forge This library provides a set of tools that can be useful in many machine learning applications (classification, clustering, regression, e

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

STMTrack This is the official implementation of the paper: STMTrack: Template-free Visual Tracking with Space-time Memory Networks. Setup Prepare Anac

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.

Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for

Comments
  • Be more similar to Test.@test interface

    Be more similar to [email protected] interface

    Specifically, and most hard to work around, getting local variables to work:

    let
      i = 10
      @test i == 10
    end
    

    It does, but I'd like to have errors and testsets too (or rather just have the notebook a bit cleaned up)

    opened by dralletje 6
  • Show test pass at first frame

    Show test pass at first frame

    Currently, we always show the second-to-last frame as the default, until you move the timeline:

    This makes sense for test failures, because probably the last function call went from computed results to false, like a == call. But for test passes, it often just shows something trivial.

    This PR makes the first frame the default for test passes. This means that you can hide all code, and sort of quickly see what was being tested:

    But as you see in the screenshot, a large test expression means that it takes up more vertical space...

    opened by fonsp 3
  • allow HyperTextLiteral v0.9

    allow HyperTextLiteral v0.9

    Currently, compat for HypertextLiteral is set to v0.6 to 0.8. The most recent version of HypertextLiteral, 0.9, is not supported. This causes issues when using PlutoTest together with other packages which require HypertextLiteral 0.9.

    I do not think that there are breaking changes, therefore it should be sufficient just to add a compat entry for 0.9.

    opened by lungben 1
  • Be more similar to Test.@test interface

    Be more similar to [email protected] interface

    Specifically, and most hard to work around, getting local variables to work:

    let
      i = 10
      @test i == 10
    end
    

    It does, but I'd like to have errors and testsets too (or rather just have the notebook a bit cleaned up)

    opened by dralletje 0
Releases(v0.2.2)
Owner
Pluto
🎈 Simple reactive notebooks for Julia — https://github.com/fonsp/Pluto.jl
Pluto
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

PyAF (Python Automatic Forecasting) PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python module

CARME Antoine 405 Jan 02, 2023
Justmagic - Use a function as a method with this mystic script, like in Nim

justmagic Use a function as a method with this mystic script, like in Nim. Just

witer33 8 Oct 08, 2022
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

Clairvoyance: A Pipeline Toolkit for Medical Time Series Authors: van der Schaar Lab This repository contains implementations of Clairvoyance: A Pipel

van_der_Schaar \LAB 89 Dec 07, 2022
Experiments for distributed optimization algorithms

Network-Distributed Algorithm Experiments -- This repository contains a set of optimization algorithms and objective functions, and all code needed to

Boyue Li 40 Dec 04, 2022
Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Parallel Tacotron2 Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Keon Lee 170 Dec 27, 2022
Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the

Simon Guist 27 Jun 06, 2022
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Adversrial Machine Learning Benchmarks This code belongs to the papers: Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? Det

Adversarial Machine Learning 9 Nov 27, 2022
Neural Logic Inductive Learning

Neural Logic Inductive Learning This is the implementation of the Neural Logic Inductive Learning model (NLIL) proposed in the ICLR 2020 paper: Learn

36 Nov 28, 2022
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

Deep Learning with TensorFlow 2 and Keras – Notebooks This project accompanies my Deep Learning with TensorFlow 2 and Keras trainings. It contains the

Aurélien Geron 1.9k Dec 15, 2022
Rename Images with Auto Generated Neural Image Captions

Recaption Images with Generated Neural Image Caption Example Usage: Commandline: Recaption all images from folder /home/feng/Downloads/images to folde

feng wang 3 May 01, 2022
This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

TransMix: Attend to Mix for Vision Transformers This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transf

Jie-Neng Chen 130 Jan 01, 2023
SweiNet is an uncertainty-quantifying shear wave speed (SWS) estimator for ultrasound shear wave elasticity (SWE) imaging.

SweiNet SweiNet is an uncertainty-quantifying shear wave speed (SWS) estimator for ultrasound shear wave elasticity (SWE) imaging. SweiNet takes as in

Felix Jin 3 Mar 31, 2022
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"

Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics @WIFS2021 (Montpellier, France) Rony Abecidan, Vincent Itier, Jeremie Boulan

Rony Abecidan 6 Jan 06, 2023
nnFormer: Interleaved Transformer for Volumetric Segmentation

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation ". Please

jsguo 610 Dec 28, 2022
Plugin adapted from Ultralytics to bring YOLOv5 into Napari

napari-yolov5 Plugin adapted from Ultralytics to bring YOLOv5 into Napari. Training and detection can be done using the GUI. Training dataset must be

2 May 05, 2022
Predict bus arrival time using VertexAI and Nvidia's Jetson Nano

bus_prediction predict bus arrival time using VertexAI and Nvidia's Jetson Nano imagenet the command for imagenet.py look like this python3 /path/to/i

10 Dec 22, 2022
A Lightweight Hyperparameter Optimization Tool 🚀

Lightweight Hyperparameter Optimization 🚀 The mle-hyperopt package provides a simple and intuitive API for hyperparameter optimization of your Machin

136 Jan 08, 2023
Tutorial on scikit-learn and IPython for parallel machine learning

Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra

Olivier Grisel 1.6k Dec 26, 2022
Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras (ICCV 2021)

N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Gra

32 Dec 26, 2022
Cereal box identification in store shelves using computer vision and a single train image per model.

Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu

Nicholas Baraghini 1 Jan 21, 2022