the main reason we built a new multiprocess architecture is that Chromium's multiprocess support was never contributed to the WebKit project. It has always lived in the separate Chromium tree, making it pretty hard to use for non-Chrome purposes.Before we wrote a single line of what would become WebKit2 we directly asked Google folks if they would be willing to contribute their multiprocess support back to WebKit, so that we could build on it. They said no.

AdNauseam is a work in progress, with new features continually being added, tuned, and, sometimes, deprecated. If a setting no longer appears in the settings page, we have likely found a better means of implementing the design goal.

What does composition have to do with mocking?Everything. The essence of all software development is the process of breaking a large problem down into smaller, independent pieces (decomposition) and composing the solutions together to form an application that solves the large problem (composition).

"The more your tests resemble the way your software is used, the more confidence they can give you. "

You want to write maintainable tests for your React components. As a part of this goal, you want your tests to avoid including implementation details of your components and rather focus on making your tests give you the confidence for which they are intended. As part of this, you want your testbase to be maintainable in the long run so refactors of your components (changes to implementation but not functionality) don't break your tests and slow you and your team down.

We try to only expose methods and utilities that encourage you to write tests that closely resemble how your web pages are used.

The more your tests resemble the way your software is used, the more confidence they can give you.

Most of the damaging features have to do with encouraging testing implementation details. Primarily, these are shallow rendering, APIs which allow selecting rendered elements by component constructors, and APIs which allow you to get and interact with component instances (and their state/properties) (most of enzyme's wrapper APIs allow this).

This library is a replacement for Enzyme.

Here are my tools of choice for testing React apps:react-test-renderer for snapshot unit testingAct API for unit testing React componentsJest for unit and integration testing of JavaScript codeCypress for end to end / ui testing

Some time ago I asked on Reddit: “What’s the consensus among the React community for testing React components?” Shawn Wang replied: “testing is an enormously complicated and nuanced topic on which there isn’t a consensus anywhere in JS, much less in React.” I was not trying to find the best library for testing React. Mainly because there isn’t one.

As you know, we ship the smallest thing to provide initial value and then we learn from your feedback and continue to improve the feature over time.

most teams are flying blind on their estimates using past experiences and best guesses to offer a semblance of how long it’ll take to complete a project. It’s no wonder why estimates are often incorrect.

I don't want to bet more time on it without user feedback

Don't listen to engineers when they estimate how much time it takes to complete a task, 2 weeks turned to 6 weeks

I had to upgrade my other project from Webpack 2 / Angular 5 to Webpack 4/Angular 7 and it was a complete nightmare! I lost a ton of hours and can't really justify charging my client for the weeks worth of time to figure it out.

Was it helpful? Donate some BTC!

Issues can be funded by anyone and the money will be transparently distributed to the contributors handling a particular issue.

If you are using Utility-Types please consider donating as this will guarantee the project will be updated and maintained in the long run.

espite the potential of emerging technologies to assist persons with cognitive disabilities,significant practical impediments remain to be overcome in commercialization, consumerabandonment, and in the design and development of useful products. Barriers also exist in terms of the financial and organizational feasibility of specific envisionedproducts, and their limited potential to reach the consumer market. Innovative engineeringapproaches, effective needs analysis, user-centered design, and rapid evolutionary developmentare essential to ensure that technically feasible products meet the real needs of persons withcognitive disabilities. Efforts must be made by advocates, designers and manufacturers to promote betterintegration of future software and hardware systems so that forthcoming iterations of personalsupport technologies and assisted care systems technologies do not quickly become obsolete.They will need to operate seamlessly across multiple real-world environments in the home,school, community, and workplace

Their hope by announcing so loudly what they have accomplished, is that others in the Android modder/hacker scene will step up and help them turn this root exploit into something useful for users by deploying features that are not currently available through the Google controlled Chromecast experience.

This issue is already known to us since yesterday. Our engineers are now working diligently to fix this behavior. I'd recommend you contact our Customer Care team and let them know that you're one of the affected users of INV36818. That way, they will link your company to the case. You will then receive a notification via email for its updates. 

There are many dependable software developers in the world. They can build software of any complexity keeping up with quality standards. And today, we will cover top developers in Norway, which are excellent and reliable professionals.

choosing a software development company becomes a real challenge. Especially when you’re putting lots of money, time and effort into the project and want a qualified team to take care of it. That’s why we’ve made a guide explaining how to choose a software vendor.

Steps To Choose A Trustworthy Software Development Partner

Las aplicaciones y archivos ejecutables

it is even highly questionable if there is anything to ‘win’ in OSS in the first place

They are a pattern that emerges from React’s compositional nature.

The Agile Software Development Process – How We Do It

Please consider submitting this as an answer

I'm working full time on Material-UI since 2019. I was working on it during my free time before that. I hope that I can leverage my full-time involvement in the library to make it really awesome. You are right, the project is well-funded. We hope we can fund the time of more than 1 person full time in the future, with the current growth rate, it should soon be possible. We have 3 people working part-time on the project (Matt, Sebastian and Josh), plus the community behind us (+1,000 code contributors).

At the design stage, when you discover problems, you can fix them easily by editing a few lines of text. Once the code is written, the cost of fixing problems is dramatically higher, both emotionally (people hate to throw away code) and in terms of time, so there’s resistance to actually fixing the problems. Software that wasn’t built from a spec usually winds up badly designed and the schedule gets out of control. 

In general, the longer you wait before fixing a bug, the costlier (in time and money) it is to fix.

A tool to help determine weights (or a feature of a creditmap tool) seems most likely to be successful. Such a tool would likely have provide simultaneous views of the credit map and weights: one that allows a detailed view of any particular contriponent and its weight, and the other that provides a view (perhaps graphical) of the entire creditmap and weights.

The value of transitive credit is in measuring the indirect contributions to a product, which today are not quantitatively captured

how the credit map for a product A, which is used by a product B, feeds into the credit map for product B

Any product should list all authors (as currently listed as authors of a paper), all contributors (as currently listed in the acknowledgements of a paper) and all component products that have been used, including both publications and other products such as software and data (as currently either cited, acknowledged, or not included in a paper).

Methods for doing this weighting, whether using a taxonomy or a more traditional list of authors, and analysis of these methods and their impact would likely be developed if this overall idea moves forward.

total jerks. As the leader of a popular OSS project, in one way or the other you’ll have to confront with these people, and that’s maybe one of the most stressful things I ever did in the course of the Redis development.

A guide to available tools and platforms for developing on Ethereum.

This is especially true for online gaming

By “Infrastructure” we mean

TWO BITSLA TRASCENDENCIA CULTURALDEL SOFTWARE LIBRE

So in theory, one could imagine an organization that produces a different kind of document. Instead of a license for the source code, they would provide a way to say uh, let’s go with “Open Development Certified.” Projects could then submit for certification, they’d get accepted or rejected.

Libraries Ready to Code

6 Effective Strategies for Teaching Adults

Software

Supplementary methods

INVEST

for example, comments and identifiers

AI Robots will be replacing the White Collar Jobs by 6% until 2021

For large-scale software systems, Van Roy believes we need to embrace a self-sufficient style of system design in which systems become self-configuring, healing, adapting, etc.. The system has components as first class entities (specified by closures), that can be manipulated through higher-order programming. Components communicate through message-passing. Named state and transactions support system configuration and maintenance. On top of this, the system itself should be designed as a set of interlocking feedback loops.

Grid devices can be nested or layered along with other devices and your plug-ins,

As was hinted at from the star

The Grid is based around ideas familiar to Bitwig Studio

OSS contribution takes time; I don't think anyone would contest that. Getting familiar with a project, finding out where you can fit into it, reading and responding to issues, testing and submitting patches, writing documentation. All of that requires a good deal of time.

how does misrepresentative information make it to the top of the search result pile—and what is missing in the current culture of software design and programming that got us here?

One quick trick for making it easier for debugging/understanding your threading macros is to put print statements in between some of the steps. The important thing to remember is that all the print functions in clojure return nil so you need to make a little helper function (I like to call mine ?) that prints and then returns the original input, like this: (defn ? [x] (prn x) x)

I don't think passing the entire http client is very idiomatic, but what is quite common is to pass the entire "environment" (aka runtime configuration) that your app needs through every function. In your case if the only variant is the URL then you could just pass the URL as the first parameter to get-data. This might seem cumbersome to someone used to OO programming but in functional programming it's quite standard. You might notice when looking at example code, tutorials, open source libraries etc. that almost all code that reads or writes to databases expects the DB connection information (or an entire db object) as a parameter to every single function. Another thing you often see is an entire "env" map being passed around which has all config in it such as endpoint URLs.

Something that I've found helps greatly with testing is that when you have code with lots of nested function calls you should try to refactor it into a flat, top level pipeline rather than a calling each function from inside its parent function. Luckily in clojure this is really easy to do with macros like -> and friends, and once you start embracing this approach you can enter a whole new world of transducers. What I mean by a top level pipeline is that for example instead of writing code like this: (defn remap-keys [data] ...some logic...) (defn process-data [data] (remap-keys (flatten data))) (defn get-data [] (let [data (http/get *url*)] (process-data data))) you should make each step its own pure function which receives and returns data, and join them all together at the top with a threading macro: (defn fetch-data [url] (http/get url)) (defn process-data [data] (flatten data)) (defn remap-keys [data] ...some logic...) (defn get-data [] (-> *url* fetch-data process-data remap-keys)) You code hasn't really changed, but now each function can be tested completely independently of the others, because each one is a pure data transform with no internal calls to any of your other functions. You can use the repl to run each step one at a time and in doing so also capture some mock data to use for your tests! Additionally you could make an e2e tests pipeline which runs the same code as get-data but just starts with a different URL, however I would not advise doing this in most cases, and prefer to pass it as a parameter (or at least dynamic var) when feasible.

One thing Component taught me was to think of the entire system like an Object. Specifically, there is state that needs to be managed. So I suggest you think about -main as initializing your system state. Your system needs an http client, so initialize it before you do anything else

This means that software that deals with Internet must be actively maintained. If it is not it will become more and more useless in practice over time, however much it remains theoretically correct, not because it has bugs or security holes as such but because the environment it was designed to work in no longer exists and thus the assumptions it was built on are now incorrect.

The Moodle project

Welcome to the DOAP wiki. DOAP is a project to create an XML/RDF vocabulary to describe software projects, and in particular open source projects.

In this singularity-free world, the future would be bleak for programmers. (Imagine having to cope with hundreds of years of legacy software!)

The Free Software Foundation[11][12] and the Open Knowledge Foundation approved CC0 as a recommended license to dedicate content and software to the public domain.

statsmodels11packag

Fully reproducible code is available in the form of jupyter notebooks (https://jupyter.org) with instructions to install all necessary software, download sequence data, assemble it, and run genomic analyses (https://github.com/dereneaton/Canarium-GBS) (DOI 10.5281/zenodo.1273357). For all genomic analyses in this study we used the ipyrad Python API and the ipyrad-analysis toolkit (https://github.com/dereneaton/ipyrad) which provides a set of wrappers around common genomic analysis tools to run highly parallelized analyses using simple Python scripts.

Source code of the model presented here is available on GitHub (https://github.com/lukasgeyrhofer/phagegrowth) (Payne et al., 2018) and its archived version is accessible through Zenodo: https://dx.doi.org/10.5281/zenodo.1038582 and https://github.com/elifesciences-publications/phagegrowth.

doi: 10.5281/zenodo.1038582RRID:SCR_004129Zenodo repository

I'll walk you through everything you need to know about logs, including what is log and how to use logs for data integration, real time processing, and system building.

Acero F., Ackermann M., Ajello M. et al (Fermi-LAT) 2015 arXiv:1501.02003Preprint

The most up-to-date version of the open-source package NPTFit may be found at https://github.com/bsafdi/NPTFit and the latest documentation at http://nptfit.readthedocs.io. In addition, the version used in this paper has been archived at https://zenodo.org/record/380469#.WN_pSFPyvMV.

Foreman-Mackey D., Vousden W., Price-Whelan A. et al 2016 corner.py: corner.py v2.0.0, doi:10.5281/zenodo.53155

Barbary K. 2014 sncosmo Zenodo, 10.5281/zenodo.11938

https://doi.org/10.5281/zenodo.11938

Software: hotpants, PostgreSQL, realbogus (Bloom et al. 2012) scamp (Bertin 2006), sextractor (Bertin & Arnouts 1996), sncosmo (Barbary 2014), swarp (Bertin et al. 2002), matplotlib (Hunter 2007), numpy (Van Der Walt et al. 2011).

Software: Juypter notebook (http://jupyter.org), Jupyterlab (https://github.com/jupyterlab), VOspace (http://www.canfar.net/en/docs/storage), vos (https://pypi.python.org/pypi/vos), VirtualBox (https://www.virtualbox.org), JupyterHub      (https://jupyterhub.readthedocs.io/en/latest/), ipywidgets (https://ipywidgets.readthedocs.io), NuPyCEE (http://nugrid.github.io/NuPyCEE), NuGridSetExplorer (https://github.com/NuGrid/WENDI), hdf5 (https://www.hdfgroup.org), Cyberlaboratories cyberhubs (https://github.com/cyberlaboratories/cyberhubs), Cyberlaboratories astrohubs        (https://github.com/cyberlaboratories/astrohubs), Cyberhubs Docker repository (https://hub.docker.com/u/cyberhubs), Docker (https://www.docker.com), NOAO data lab (http://datalab.noao.edu), ansible (https://www.ansible.com), puppet (https://puppet.com), mesa_h5 (https://github.com/NuGrid/mesa_h5), Python (https://www.python.org), MESA (http://mesa.sourceforge.net), WENDI (http://wendi.nugridstars.org), OpenMP (http://www.openmp.org), MESA-SDK (http://www.astro.wisc.edu/~townsend/static.php?ref=mesasdk), MPI (https://www.open-mpi.org), gfortran (https://gcc.gnu.org/fortran), SuperLU (http://crd-legacy.lbl.gov/~xiaoye/SuperLU), OpenBLAS (http://www.openblas.net), mencoder (http://www.mplayerhq.hu).

You can not only apply it to classes, but also to software components and microservices.

With sentiment analysis software, set for trial use later this semester in a classroom at the University of St. Thomas, in Minnesota, instructors don’t need to ask. Instead, they can glance at their computer screen at a particular point or stretch of time in the session and observe an aggregate of the emotions students are displaying on their faces: happiness, anger, contempt, disgust, fear, neutrality, sadness and surprise.