There are two things that I enjoy: a test framework written in my own Domain Specific Language (DSL) that is easily understood by all those on a project and the ability for all participants to easily read, search, and view the tests.

Designed for both content-based websites and applications. Does not depend on a database.

The Science Behind Hydrogen Rich Water Machine

Since generators produce output one element at a time versus an entire list all at once, it can help your program use less memory.

It is not until you request elements from the generator that it begins executing its code:

A generator is a convenient way, similar to writing a normal function, to construct a new iterable object. Whereas normal functions execute and return a single result at a time, generators can return a sequence of multiple values by pausing and resuming execution each time the generator is used. To create a generator, use the yield keyword instead of return in a function:

Daniel Schmachtenberger has spoken at length about the ‘generator functions’ of existential risk, in essence the deeper driving causes.

“I have a trick that I used in my studio, because I have these twenty-eight-hundred-odd pieces of unreleased music, and I have them all stored in iTunes,” Eno said during his talk at Red Bull. “When I’m cleaning up the studio, which I do quite often—and it’s quite a big studio—I just have it playing on random shuffle. And so, suddenly, I hear something and often I can’t even remember doing it. Or I have a very vague memory of it, because a lot of these pieces, they’re just something I started at half past eight one evening and then finished at quarter past ten, gave some kind of funny name to that doesn’t describe anything, and then completely forgot about, and then, years later, on the random shuffle, this thing comes up, and I think, Wow, I didn’t hear it when I was doing it. And I think that often happens—we don’t actually hear what we’re doing. . . . I often find pieces and I think, This is genius. Which me did that? Who was the me that did that?”

Eno’s strategies don’t always appeal to the musicians he works with. In Geeta Dayal’s book about the album, also titled “Another Green World,” the bassist Percy Jones recalls, “There was this one time when he gave everybody a piece of paper, and he said write down 1 to 100 or something like that, and then he gave us notes to play against specific numbers.” Phil Collins, who played drums on the album, reacted to these instructions by throwing beer cans across the room. “I think we got up to about 24 and then we gave up and did something else,” Jones said.

ES6+中的Generator 函数有何特别之处？

It is handy to manually generate the diagram from times to times using the previously created command: npm run db:diagram:generate. Though, getting the diagram to update itself on its own automatically without a developer interaction would ensure that it the diagram is never obsolete. There are several ways of doing this.You could use a pre-commit git hook or even better simply configure your CI/CD pipeline(s) to run the npm script whenever something gets merged into the main branch 🙂

dublincoregenerator.com - a better dublin core generator

co(function* () {  var result = yield Promise.resolve(true);  return result;}).then(function (value) {  console.log(value);}, function (err) {  console.error(err.stack);});

we have a helpful little framework behind the page rendering that pulls code snippets from real tests out of the actual gems

Use the desc option to provide human-readable descriptions of filters. You should prefer these to comments because they can be used to generate documentation.

While custom iterators are a useful tool, their creation requires careful programming due to the need to explicitly maintain their internal state. Generator functions provide a powerful alternative: they allow you to define an iterative algorithm by writing a single function whose execution is not continuous. Generator functions are written using the function* syntax.

function* enumerate(iterable) { let i = 0; for (const x of iterable) { yield [i, x]; i++; } } for (const [i, obj] of enumerate(myArray)) { console.log(i, obj); }

If you don’t know Sapper: It’s very similar to Nuxt or Next.js with the additional option to even export as static html, so the end result is similar to a Gatsby website.

The folks at Netlify created Netlify CMS to fill a gap in the static site generation pipeline. There were some great proprietary headless CMS options, but no real contenders that were open source and extensible—that could turn into a community-built ecosystem like WordPress or Drupal. For that reason, Netlify CMS is made to be community-driven, and has never been locked to the Netlify platform (despite the name).

They might be built using sites built by hand, or with Jekyll, Hugo, Nuxt, Next, Gatsby, or another static site generator...

This gem also includes a responders controller generator, so your scaffold can be customized to use respond_with instead of default respond_to blocks. From 2.1, you need to explicitly opt-in to use this generator by adding the following to your config/application.rb: config.app_generators.scaffold_controller :responders_controller

The portion of the GAN that trains the generator includes: random input generator network, which transforms the random input into a data instance discriminator network, which classifies the generated data discriminator output generator loss, which penalizes the generator for failing to fool the discriminator

generator part of a GAN learns to create fake data by incorporating feedback from the discriminator

generated instances become negative training examples for the discriminator

However, unlike an ordinary loop, yield from allows subgenerators to receive sent and thrown values directly from the calling scope, and return a final value to the outer generator

The idea of replacing Yeoman is born I was wondering, what if Yeoman could be replaced by something similar that was simpler, as well as being easier to write and maintain?

One way to be sure that you are using state of the art techniques is to use a scaffolding tool when building new apps/packages. With a scaffolding tool you can also get help when upgrading an existing project that has already been generated with the tool. The most popular scaffolding tool today is Yeoman and it has a huge amount of project generators. To save time when setting up new projects I decided to create a Yeoman generator of my own – generator-klei which is a MEAN stack (MongoDB, ExpressJS, AngularJS and NodeJS) app generator. At first it was a great experience and I was really satisfied with the generator, that was until it had to be maintained.

In the world of web development today it’s hard to stay updated with the ever increasing amount of new modules, libraries and packages that are released each day. What’s hot today can be forgotten tomorrow.