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About this capture
COLLECTED BY
Organization: Archive Team
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: ArchiveBot: The Archive Team Crowdsourced Crawler
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).

To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.

There is a dashboard running for the archivebot process at http://www.archivebot.com.

ArchiveBot's source code can be found at https://github.com/ArchiveTeam/ArchiveBot.

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Edit

IntelliCode for C# Dev Kit

For users of the C# Dev Kit extension in Visual Studio Code, the IntelliCode for C# Dev Kit extension is available to provide IntelliCode support. Predictions of up to a whole-line of code, along with ranking methods and properties in the IntelliSense list are available for C# Dev Kit users.

Whole line suggestions

Scenario 1: When grey-text is shown, press Tab to accept the prediction (suggestion).

Press Tab to accept prediction

Scenario 2: When grey-text is shown along with the IntelliSense list, press Tab to accept the IntelliSense list selection, then Tab again to accept the rest of the multi-token prediction. In this scenario, you can use the IntelliSense list selection to steer the multi-token prediction offered by IntelliCode.

Use list selection to steer multi-choice prediction

Additionally, if the model is suggesting that a string should exist, but does not have a suggestion for the string, pressing Tab places the cursor into the empty string, making it easier for you to complete your line of code.

This model makes predictions on what you'll type next based on a rich knowledge of what you have coded so far, which includes:

  • Variable names and positions
  • Libraries you're using
  • Functions in nearby code
  • The IntelliSense list

Starred suggestions

This extension provides AI-assisted IntelliSense by showing recommended completion items for your code context at the top of the completions list.

Ranks methods and properties in the IntelliSense list with stars

When it comes to overloads, rather than taking the time to cycle through the alphabetical list of member, IntelliCode presents the most relevant one first. This extension not only ranks known methods, but its deep learning model also ranks methods that are unique to your code.

To see AI-assisted ranking in the IntelliSense list, you must first open a C# file that is a part of a solution. C# files that aren't a part of a solution won't have this functionality available.

Security and Privacy

All your code stays local – the model runs right on your computer - so there's no need to transmit code to a remote server for custom model training. This is enabled by our machine learning system design, which led to dramatically reduced memory footprint and improved inference speed.

Since models powering IntelliCode features run on your local machine, this allows IntelliCode support to be available in offline and air gapped environments.

Get support for other languages

To get IntelliCode whole-line autocompletions for Python, JavaScript, and TypeScript in VS Code, install the general IntelliCode extension. The general extension also ranks methods and properties in the IntelliSense list with stars for Python and SQL, in addition to the languages supported for whole-line autocomplete.

Prerequisites

In order to use this extension, you must have both the C# Dev Kit and .NET 6 installed and enabled on your machine. This extension supports the following platforms and operating systems:

  • Windows: x64 and ARM
    • x64 & ARM tested on Windows 11 22H2
  • macOS: x64 and ARM.
    • x64 tested on OS X Monterey v12.6.5
    • ARM tested on OS X v PENDING
  • Linux: x64 and ARM.
    • x64 Tested on Ubuntu 22.04

How do I report feedback and issues

You can file an issue on our IntelliCode for VS Code extension GitHub feedback repo.

6/6/2023

In this article there are 6 sectionsIn this article

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