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

Related tags

Deep Learningtestingdebuggingjuliajulia-languagetime-travelpluto-notebooks
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

Atmospheric Cloud Simulation Group @ Jagiellonian University 32 Oct 18, 2022
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

AoxiangFan 9 Nov 10, 2022
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

JinTian 20 Oct 17, 2022
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

null 310 Dec 28, 2022
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

Machinalis 380 Nov 5, 2022
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

H2O.ai 6.1k Jan 5, 2023
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

Zhihong Fu 62 Dec 21, 2022
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.

215355 1 Dec 16, 2021
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

Abdultawwab Safarji 7 Nov 27, 2022
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
GitHub Repository https://juliapluto.github.io/PlutoTest.jl/src/notebook.html
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and t

305 Dec 16, 2022
So-ViT: Mind Visual Tokens for Vision Transformer

So-ViT: Mind Visual Tokens for Vision Transformer        Introduction This repository contains the source code under PyTorch framework and models trai

Jiangtao Xie 44 Nov 24, 2022
Mini-hmc-jax - A simple implementation of Hamiltonian Monte Carlo in JAX

mini-hmc-jax This is a simple implementation of Hamiltonian Monte Carlo in JAX t

Martin Marek 6 Mar 03, 2022
A flexible and extensible framework for gait recognition.

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

Shiqi Yu 335 Dec 22, 2022
Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Finetune AlexNet with Tensorflow Update 15.06.2016 I revised the entire code base to work with the new input pipeline coming with TensorFlow = versio

Frederik Kratzert 766 Jan 04, 2023
Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data

1 Meta-FDMIxup Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data. (ACM MM 2021) paper News! the rep

Fu Yuqian 44 Nov 18, 2022
object detection; robust detection; ACM MM21 grand challenge; Security AI Challenger Phase VII

赛题背景 在商品知识产权领域，知识产权体现为在线商品的设计和品牌。不幸的是，在每一天，存在着非法商户通过一些对抗手段干扰商标识别来逃避侵权，这带来了很高的知识产权风险和财务损失。为了促进先进的多媒体人工智能技术的发展，以保护企业来之不易的创作和想法免受恶意使用和剽窃，因此提出了鲁棒性标识检测挑战赛

65 Dec 22, 2022
The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction".

LEAR The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction". **The code is in the "master

杨攀 93 Jan 07, 2023
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (NeurIPS 2021)

VRDP (NeurIPS 2021) Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Pin

Mingyu Ding 36 Sep 20, 2022
High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models Requirements A suitable conda environment named ldm can be created and activated with: conda env create -f environment.yaml co

CompVis Heidelberg 5.6k Jan 04, 2023
A list of Machine Learning Art Colabs

ML Visual Art Colabs A list of cool Colabs on Machine Learning Imagemaking or other artistic purposes 3D Ken Burns Effect Ken Burns Effect by Manuel R

Derrick Schultz (he/him) 789 Dec 12, 2022
Simple and understandable swin-transformer OCR project

swin-transformer-ocr ocr with swin-transformer Overview Simple and understandable swin-transformer OCR project. The model in this repository heavily r

Ha YongWook 67 Dec 31, 2022
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

SimplePose Code and pre-trained models for our paper, “Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation”, a

Jia Li 256 Dec 24, 2022
Complete system for facial identity system

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

4 May 02, 2022
Parris, the automated infrastructure setup tool for machine learning algorithms.

README Parris, the automated infrastructure setup tool for machine learning algorithms. What Is This Tool? Parris is a tool for automating the trainin

Joseph Greene 319 Aug 02, 2022
The comma.ai Calibration Challenge!

Welcome to the comma.ai Calibration Challenge! Your goal is to predict the direction of travel (in camera frame) from provided dashcam video. This rep

comma.ai 697 Jan 05, 2023
Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.

Smaller Multilingual Transformers This repository shares smaller versions of multilingual transformers that keep the same representations offered by t

Geotrend 79 Dec 28, 2022
Code repository for "Stable View Synthesis".

Stable View Synthesis Code repository for "Stable View Synthesis". Setup Install the following Python packages in your Python environment - numpy (1.1

Intelligent Systems Lab Org 195 Dec 24, 2022
Deep Learning Head Pose Estimation using PyTorch.

Hopenet is an accurate and easy to use head pose estimation network. Models have been trained on the 300W-LP dataset and have been tested on real data with good qualitative performance.

Nataniel Ruiz 1.3k Dec 26, 2022
Forecasting Nonverbal Social Signals during Dyadic Interactions with Generative Adversarial Neural Networks

ForecastingNonverbalSignals This is the implementation for the paper Forecasting Nonverbal Social Signals during Dyadic Interactions with Generative A

1 Feb 10, 2022