The Notebook Jual Notebook Medan API allows Visual Studio Code extensions to open files as notebooks, execute notebook code cells, Grosir Notebook Medan and render notebook outputs in a variety of rich and interactive formats. You may know of popular notebook interfaces like Jupyter Notebook or Google Colab – the Notebook API allows for similar experiences inside Visual Studio Code.Parts of a Notebook
A notebook consists of a sequence of cells and their outputs. The cells of a notebook can be either Markdown cells or code cells, and are rendered within the core of VS Code. The outputs can be of various formats. Some hasil formats, such as plain text, JSON, Toko Notebook Medan images, and HTML are rendered by VS Code core. Others, such as application-specific data or interactive applets, are rendered by extensions.
Cells in a notebook are read and written to the file system by a NotebookSerializer, which handles reading data from the file system and converting it into a description of cells, as well as persisting modifications to the notebook back to the arsip system. The code cells of a notebook can be executed by a NotebookController, which takes the contents of a cell and from it produces zero or more outputs in a variety of formats ranging from plain text to formatted documents or interactive applets. Application-specific output formats and interactive applet outputs are rendered by a Harga Notebook Medan NotebookRenderer.
NotebookSerializer API Reference
A NotebookSerializer is responsible for taking the serialized bytes of a notebook and deserializing those bytes into NotebookData, which contains list of Markdown and code cells. It is responsible for the opposite conversion as well: taking NotebookData and converting the data into serialized bytes to be saved.
Samples:JSON Notebook Serializer: Simple example notebook that takes JSON input and outputs prettified JSON in a custom NotebookRenderer.Markdown Serializer: Open and edit Markdown files as a notebook.Example
In this example, we build a simplified notebook provider extension for viewing files in the Jupyter Notebook format with a .notebook extension.
A notebook serializer is declared in package.json under the contributes.notebooks section as follows:…”activationEvents”: [“onNotebook:my-notebook”],”contributes”: …”notebooks”: [“id”: “my-notebook”,”type”: “my-notebook”,”displayName”: “My Notebook”,”selector”: [“filenamePattern”: “*.notebook”]]
The notebook serializer is then registered in the extension’s activation event:importTextDecoder, TextEncoderfrom ‘util’;import * as vscode from ‘vscode’;export function activate(context: vscode.ExtensionContext) context.subscriptions.push(vscode.workspace.registerNotebookSerializer(‘my-notebook’, new SampleSerializer()));interface RawNotebookCell language: string;value: string;kind: vscode.NotebookCellKind;class SampleSerializer implements vscode.NotebookSerializer async deserializeNotebook(content: Uint8Array,_token: vscode.CancellationToken): Promise Now try running your extension and opening a Jupyter Notebook formatted file saved with the .notebook extension: You should be able to open Jupyter-formatted notebooks and view their cells as both plain text and rendered Markdown, as well as edit the cells. However, outputs will not be persisted to disk; to save outputs you would need to also serialize and deserialize the outputs of cells from NotebookData. To run a cell, you will need to implement a NotebookController.Controller NotebookController API Reference A NotebookController is responsible for taking a code cell and executing the code to produce some or no outputs. A controller is directly associated with a notebook serializer and a type of notebook by setting the NotebookController#notebookType property on creation of the controller. Then the controller is registered globally by pushing the controller onto the extension subscriptions on activate of the extension.export function activate(context: vscode.ExtensionContext) context.subscriptions.push(new Controller());class Controller readonly controllerId = ‘my-notebook-controller-id’;readonly notebookType = ‘my-notebook’;readonly label = ‘My Notebook’;readonly supportedLanguages = [‘python’];private readonly _controller: vscode.NotebookController;private _executionOrder = 0;constructor() this._controller = vscode.notebooks.createNotebookController(this.controllerId,this.notebookType,this.label);this._controller.supportedLanguages = this.supportedLanguages;this._controller.supportsExecutionOrder = true;this._controller.executeHandler = this._execute.bind(this);private _execute(cells: vscode.NotebookCell[],_notebook: vscode.NotebookDocument,_controller: vscode.NotebookController): void for (let cell of cells) this._doExecution(cell);private async _doExecution(cell: vscode.NotebookCell): Promise If you’re publishing a NotebookController-providing extension separately from its serializer, then add an entry like notebookKernel Samples:GitHub Issues Notebook: Controller to execute queries for GitHub IssuesREST Book: Controller to run REST queries.Regexper notebooks: Controller to visualize regular expressions.Output types Outputs must be in one of three formats: Text Output, Error Output, or Rich Output. A kernel may provide multiple outputs for a single execution of a cell, in which case they will be displayed as a list. Simple formats like Text Output, Error Output, or “simple” variants of Rich Output (HTML, Markdown, JSON, etc.) are rendered by VS Code core, whereas application specific Rich Output types are rendered by a NotebookRenderer. An extension may optionally choose to render “simple” Rich Outputs itself, for instance to add LaTeX support to Markdown outputs. Text outputs are the most simple output format, and work much like many REPLs you may be familiar with. They consist only of a text field, which is rendered as plain text in the cell’s hasil element:vscode.NotebookCellOutputItem.text(‘This is the hasil…’); Error outputs are helpful for displaying runtime errors in a consistent and understandable manner. They support standard Error objects.try /* Some code */ catch (error) vscode.NotebookCellOutputItem.error(error); Rich outputs are the most advanced form of displaying cell outputs. They allow for providing many different representations of the output data, keyed by mimetype. For example, if a cell hasil was to represent a GitHub Issue, the kernel might produce a rich output with several properties on its data field:A text/html field containing a formatted view of the issue.A text/x-json field containing a machine readable view.An application/github-issue field that a NotebookRenderer could use to create a fully interactive view of the issue. In this case, the text/html and text/x-json views will be rendered by VS Code natively, but the application/github-issue view will display an error if no NotebookRenderer was registered to that mimetype.execution.replaceOutput([new vscode.NotebookCellOutput([vscode.NotebookCellOutputItem.text(‘Hellodanlt;/bdangt; World’, ‘text/html’),vscode.NotebookCellOutputItem.json( hello: ‘world’ ),vscode.NotebookCellOutputItem.json( custom-data-for-custom-renderer: ‘data’ , ‘application/custom’),])]); By default, VS Code can render the following mimetypes:application/javascripttext/htmlimage/svg+xmltext/markdownimage/pngimage/jpegtext/plain