Moving forward I'd rather see {#await} being removed than adding more {#await}. But that's just from my experience and I'm sure there are use-cases for it.

The key thing about the REST approach is that the server addresses the client state transitions. The state of the client is almost totally driven by the server and, for this reason, discussions on API versioning make little sense, too. All that a client should know about a RESTful interface should be the entry point. The rest should come from the interpretation of server responses.

In fact, most people believe that to build a RESTful API you can simply create an API based on URLs and HTTP verbs. This is absolutely false. This misunderstanding is going around for too long.

The Annotations API is an extension to the Europeana REST API which allows you to create, retrieve and manage annotations on Europeana objects. Annotations are user-contributed or system-generated enhancements, additions or corrections to (or a selection of) metadata or media. We adopted the Web Annotation Data Model as a base model for the representation of annotations and as a format for exchanging annotations between client applications and the API, but also the Web Annotation Protocol as base HTTP protocol for the API.

{
  "@context": “http://www.w3.org/ns/anno.jsonld”
  "id": "http://data.europeana.eu/annotations/1",
  "type": "Annotation",
  "created": "2015-03-10T14:08:07Z",
  "creator": {
    "type": "Person",
    "name": "John Smith"
  },
  "generated": "2015-04-01T09:00:00Z",
  "generator": {
      "type": "Software",
      "name": "HistoryPin",
      "homepage": "https://www.historypin.org/"
  },
  "motivation": "tagging",
  "bodyValue": "MyBeautifulTag",
  "target": "http://data.europeana.eu/item/92062/BibliographicResource_1000126189360"
}

Pertanyaan besarnya: apa yang sebenarnya terjadi dan mengapa sistem peringatan dini gagal menyelamatkan nyawa penduduk sekitar Semeru?

Feature GraphQL REST

There are advantages and disadvantages to both systems, and both have their use in modern API development. However, GraphQL was developed to combat some perceived weaknesses with the REST system, and to create a more efficient, client-driven API.

Modern browsers that support the File System Access API (Edge and Chrome today) allow web pages to access the local file system (with your permission).

flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepoflatpak install flathub org.chromium.Chromium

Nanhaipotamon longhaiense sp. nov.

This function allows you to modify (or replace) a fetch request for an external resource that happens inside a load function that runs on the server (or during pre-rendering). For example, your load function might make a request to a public URL like https://api.yourapp.com when the user performs a client-side navigation to the respective page, but during SSR it might make sense to hit the API directly (bypassing whatever proxies and load balancers sit between it and the public internet).

Jamstack

Hypothesis REST API

Using the Hypothesis API

collectionoptionalobject​

Arel is a public API, or more precisely, it exposes one. Active Record just provides convenience methods that use it under the hood, It's completely valid to use it on it's own. It follows semantic versioning, so unless you are changing major versions (3.x.x => 4.x.x), there is no need to worry about breaking changes.

HTTP REST seems like an "out of external dependency" way to go.

I don't know how much workaround is it, but for now I'm using this approach:

Allows you to use sapper with an API service residing in another server. This is especially useful if your API server is written in another language

if (parsed.protocol) { // external fetch response = await fetch(parsed.href, /** @type {import('node-fetch').RequestInit} */ (opts)); } else { // otherwise we're dealing with an internal fetch const resolved = resolve(request.path, parsed.pathname);

CSR asking my Python backed directly (over nginx). Basically, in my particular situation, I want to use most shorter paths for SSR or CSR cases when I have a separate API server under the same domain and nginx frontend.

on CSR it connects to the svelte-kit endpoint which just use a localhost connection. and to optimize this you can use unix sockets in your endpoints to connect to backend server

ah you are talking about a external api endpoint server? then you could use the svelte-kit endpoints as proxy handler

This looks cool but right now, let's say i have an external api which depends on users cookies, the cookies only gets send through internal sk endpoints while ssr even if its the same domain. Couldn't we pass the 'server' request to the serverFetch hook? I would currently have to patch package svelte kit to pass request headers to the external api or create an sk endpoint which proxies the request.

If your python3 executable is named "python" instead of "python3" (this particularly appears to affect a number of Windows users), then you'll also need to modify the first line of git-filter-repo to replace "python3" with "python".

From now just use url instead of asset-url

In this section we will use Gatling to load test a simple cloud hosted web server and will introduce you to the basic elements of the DSL. And here i`m adding my own text, doesnt exist on the page. In this section we will use Gatling to load test a simple cloud hosted web server and will introduce you to the basic elements of the DSL. And here i`m adding my own text, doesnt exist on the page.

Lumberjack::Logger does not extend from the Logger class in the standard library, but it does implement a compantible API.

logger.tag_formatter.default(Lumberjack::Formatter.new.clear.add(Object, :inspect)) logger.tag_formatter.default(Lumberjack::Formatter::InspectFormatter.new) logger.tag_formatter.default { |value| value.inspect }

There are several built in classes you can add as formatters. You can use a symbol to reference built in formatters. logger.formatter.add(Hash, :pretty_print) # use the Formatter::PrettyPrintFormatter for all Hashes logger.formatter.add(Hash, Lumberjack::Formatter::PrettyPrintFormatter.new) # alternative using a formatter instance

# This will register formatters only on specific tag names logger.tag_formatter.add(:thread) { |thread| "Thread(#{thread.name})" } logger.tag_formatter.add(:current_user, Lumberjack::Formatter::IdFormatter.new)

data = {}.extend XKeys::Auto # Vs ::Hash, uses arrays for int keys data[:users, 0, :name] # nil data[:users, 0, :name, :raise => true] # KeyError data[:users, :[], :name] = 'Matz' # :[] is next index, 0 in this case # {:users=>[{:name=>"Matz"}]} pick = [:users, 0, :name] data[*pick] # Matz data[:users, 0, :accesses, :else => 0] += 1 # {:users=>[{:name=>"Matz", :accesses=>1}]}

Currently, I’m working on designing the interfaces and it’s real fun!

With all this “monetization” happening around Trailblazer, we will also make sure that all free and paid parts of the project grow adult and maintan an LTS - or long-term support - status. Those are good news to all you users out there having been scared to use gems of this project, not knowing whether or not they’re being maintained, breaking code in the future or making your developers addicted to and then cutting off the supply chain. Trailblazer 2.1 onwards is LTS, and the last 1 ½ years of collaboration have proven that.

var md = require('markdown-it')('commonmark');

import markdownIt from 'markdown-it'
let md = markdownIt('commonmark')

Configurable syntax! You can add new rules and even replace existing ones.

patch: -> { step Destroy.method(:tidy_storage), before: :delete_model }

try { const value = await localforage.getItem('somekey'); // This code runs once the value has been loaded // from the offline store. console.log(value); } catch (err) { // This code runs if there were any errors. console.log(err); }

Subprocess will try to match the nested ends’ semantics to the tracks it knows. You may wire custom ends using Output.

Patching has no implicit, magical side-effects and is strongly encouraged to customize flows for a specific case in a quick and consise way.

However, it can be a PITA if you want to customize one of those deeply nested components and add or remove a certain step, for example.

now that I realize how easy it is to just manually include this in my app: <%= javascript_include_tag 'xray', nonce: true if Rails.env.development? %> I regret even wasting my time getting it to automatically look for and add a nonce to the auto-injected xray.js script

Promises

The new 2.1 version comes with a few necessary but reasonable changes in method signatures. As painful as that might sound to your Rails-spoiled ears, we preferred to fix design mistakes now before dragging them on forever.

The new call API is much more consistent and takes away another thing we kept explaining to new users - an indicator for a flawed API.

I agre with your concern. I realy prefer to do this : form.assign_attributes(hash) if form.valid? my_service.update(form) #render something else #render somthing else end It looks more like a normal controller.

I like your API here much better than reform's API.

reform conflates these two responsibilities into a single validate method

@conference_form.submit(conference_params)

    @conference_form = ConferenceForm.new(conference)
    @conference_form.submit(conference_params)

    if @conference_form.save

Finally, you can use fields_for in order to create/edit associated fields and the suffix _list (like profile_list below) to choose an existing associated record.

@user_form = UserForm.new(User.find(params[:id])) # you need to load the record being edited

# Use relationship's name followed by "__" plus attribute's name # to validate has_one and belongs_to associations validates :name, :address__street, :company__name, presence: true

data.frames (actually, tibbles

Jbuilder gives you a simple DSL for declaring JSON structures that beats manipulating giant hash structures. This is particularly helpful when the generation process is fraught with conditionals and loops.

this second approach, while more verbose, sort of spells out better where things are coming from. (I like it, in other words.)

page is a { host, path, params, query } object where host is the URL's host, path is its pathname, params is derived from path and the route filename, and query is an object of values in the query string.

Go is introducing publicly-visible API changes related to these issues in an upcoming major release, which risks making the vulnerabilities public without explicit public disclosure. 

The best solution that I found while trying to build a masonry component was to package up a pair of components and place child components inside a wrapper - I chose CardLayout and Card such that users would write something like: <CardLayout> <Card><MyBeautifulCard /></Card> <Card><AnotherCard /></Card> </CardLayout>

Hm, React-way is really hacky... When we talking about lists, masonry, or any other table-style components, first of all, we talk about arrays and iteration through them. If you iterate over the children in the Masonry component, somewhere (in parent component I guess) you also iterate over the actual items. Over and over again, in all places you use this component, you perform almost the same iteration twice. Why we should do this? I believe the interface of this kind of components should look like this: <Masonry {items} {colsNum} let:item> <SomeItemComponent>{item}</SomeItemComponent> </Masonry>

<script> export let items = []; export let colsNum = 3; $: cols = items.reduce(...); </script> {#each cols as col} {#each col as item} <slot {item} /> {/each} {/each}

I think the main difference between the two are the way API are served. Some smelte components need you to input big chunk of json as props, while i prefer keep props as primitive types and in the other hand give you different components tags to compose.

I don't think this is what really matters at the end, since whatever is the implementation the goal should be to provide a library that people actually like to use.

The Object.getPrototypeOf() method returns the prototype (i.e. the value of the internal [[Prototype]] property) of the specified object.

My focus is on make the API as simpler as possible to allows easy integration without even reading the docs but keeping and expand current features.

After i've stabilized the library i can start to discuss about adding new components and features!

Adapters are strictly versioned: any change to an adapter interface - associative or not - is considered breaking and will cause a major version update of the component.

Capacitor is a framework that provides developers a coherent API set to access various features on different platforms. By doing so, it also simplifies using those features. Especially for web APIs that are hard to use or require multiple steps to set them up, Capacitor provides an easy-to-use interface.