GitHub Arctic Code Vault: Overview

Are you an Arctic Code Vault Contributor or have seen someone posting about it and don’t know what it is. So let’s take a look at what is an Arctic Code Vault Contributor and who are the ones who gets this batch.

GitHub, the world’s largest open-source platform for software and programs has safely locked the data of huge value and magnitude in a coal mine in Longyearbyen’s Norwegian town in the Arctic region.

Back in November 2019, GitHub Arctic Code Vault was first announced.

The GitHub Arctic Code Vault is a data repository preserved in the Arctic

World Archive (AWA), a very-long-term archival facility 250 meters deep in the permafrost of an Arctic mountain. The archive is located in a decommissioned coal mine in the Svalbard archipelago, closer to the North Pole than the Arctic Circle.

Last year, GitHub said that it plans to capture a snapshot of every active

public repository on 02/02/2020 and preserve that data in the Arctic

Code Vault.

The project began on February 2, when the firm took a snapshot of all of

GitHub’s active public repositories to store them in the vault. They initially intended to travel to Norway and personally escort the world’s open-source technology to the Arctic but their plans were derailed by the global pandemic. Then, they had to wait until 8 Julyfor the Arctic Data Vault data to be deposited.

GitHub announced that the code was successfully deposited in the Arctic Code Vault on July 8, 2020. Over the past several months, GitHub worked

with its archive partners Piql to write the 21TB of GitHub repository data to 186 reels of piqlFilm (digital photosensitive archival film).

GitHub’s strategic software director, Julia Metcalf, has written a blog post

on the company’s website notifying the completion of GitHub’s Archive Program on July 8th. Discussing the objective of the Archive Program, Metcalf wrote “Our mission is to preserve open-source software for future generations by storing your code in an archive built to last a thousand years.”

The Arctic Code Vault is only a small part of the wider GitHub Archive

Program, however, which sees the company partner with the Long Now

Foundation, Internet Archive, Software Heritage Foundation, Microsoft

Research and others.

How the cold storage will last 1,000 years?

Svalbard has been regulated by the international Svalbard Treaty as a demilitarized zone. Home to the world’s northernmost town, it is one of the most remote and geopolitically stable human habitations on Earth.

The AWA is a joint initiative between Norwegian state-owned mining company Store Norske Spitsbergen Kulkompani (SNSK) and very-long-term digital preservation provider Piql AS. AWA is devoted to archival storage in perpetuity. The film reels will be stored in a steel-walled container inside a sealed chamber within a decommissioned coal mine on the remote archipelago of Svalbard. The AWA already preserves historical and cultural data from Italy, Brazil, Norway, the Vatican, and many others.

What’s in the 02/02/2020 snapshot?

The 02/02/2020 snapshot archived in the GitHub Arctic Code Vault will

sweep up every active public GitHub repository, in addition to significant dormant repos.

The snapshot will include every repo with any commits between the announcement at GitHub Universe on November 13th and 02/02/2020,

every repo with at least 1 star and any commits from the year before the snapshot (02/03/2019 – 02/02/2020), and every repo with at least 250 stars.

The snapshot will consist of the HEAD of the default branch of each repository, minus any binaries larger than 100KB in size—depending on available space, repos with more stars may retain binaries. Each repository will be packaged as a single TAR file. For greater data density and integrity, most of the data will be stored QR-encoded and compressed. A human-readable index and guide will itemize the location of each repository and explain how to recover the data.

The company further shared that every reel of the archive includes a copy

of the “Guide to the GitHub Code Vault” in five languages, written with input from GitHub’s community and available at the Archive Program’s own GitHub repository.

#github #open-source #coding #open-source-contribution #contributing-to-open-source #github-arctic-code-vault #arctic-code-vault #arctic-code-vault-contributor

What is GEEK

Buddha Community

GitHub Arctic Code Vault: Overview

Are you an Arctic Code Vault Contributor or have seen someone posting about it and don’t know what it is. So let’s take a look at what is an Arctic Code Vault Contributor and who are the ones who gets this batch.

GitHub, the world’s largest open-source platform for software and programs has safely locked the data of huge value and magnitude in a coal mine in Longyearbyen’s Norwegian town in the Arctic region.

Back in November 2019, GitHub Arctic Code Vault was first announced.

The GitHub Arctic Code Vault is a data repository preserved in the Arctic

World Archive (AWA), a very-long-term archival facility 250 meters deep in the permafrost of an Arctic mountain. The archive is located in a decommissioned coal mine in the Svalbard archipelago, closer to the North Pole than the Arctic Circle.

Last year, GitHub said that it plans to capture a snapshot of every active

public repository on 02/02/2020 and preserve that data in the Arctic

Code Vault.

The project began on February 2, when the firm took a snapshot of all of

GitHub’s active public repositories to store them in the vault. They initially intended to travel to Norway and personally escort the world’s open-source technology to the Arctic but their plans were derailed by the global pandemic. Then, they had to wait until 8 Julyfor the Arctic Data Vault data to be deposited.

GitHub announced that the code was successfully deposited in the Arctic Code Vault on July 8, 2020. Over the past several months, GitHub worked

with its archive partners Piql to write the 21TB of GitHub repository data to 186 reels of piqlFilm (digital photosensitive archival film).

GitHub’s strategic software director, Julia Metcalf, has written a blog post

on the company’s website notifying the completion of GitHub’s Archive Program on July 8th. Discussing the objective of the Archive Program, Metcalf wrote “Our mission is to preserve open-source software for future generations by storing your code in an archive built to last a thousand years.”

The Arctic Code Vault is only a small part of the wider GitHub Archive

Program, however, which sees the company partner with the Long Now

Foundation, Internet Archive, Software Heritage Foundation, Microsoft

Research and others.

How the cold storage will last 1,000 years?

Svalbard has been regulated by the international Svalbard Treaty as a demilitarized zone. Home to the world’s northernmost town, it is one of the most remote and geopolitically stable human habitations on Earth.

The AWA is a joint initiative between Norwegian state-owned mining company Store Norske Spitsbergen Kulkompani (SNSK) and very-long-term digital preservation provider Piql AS. AWA is devoted to archival storage in perpetuity. The film reels will be stored in a steel-walled container inside a sealed chamber within a decommissioned coal mine on the remote archipelago of Svalbard. The AWA already preserves historical and cultural data from Italy, Brazil, Norway, the Vatican, and many others.

What’s in the 02/02/2020 snapshot?

The 02/02/2020 snapshot archived in the GitHub Arctic Code Vault will

sweep up every active public GitHub repository, in addition to significant dormant repos.

The snapshot will include every repo with any commits between the announcement at GitHub Universe on November 13th and 02/02/2020,

every repo with at least 1 star and any commits from the year before the snapshot (02/03/2019 – 02/02/2020), and every repo with at least 250 stars.

The snapshot will consist of the HEAD of the default branch of each repository, minus any binaries larger than 100KB in size—depending on available space, repos with more stars may retain binaries. Each repository will be packaged as a single TAR file. For greater data density and integrity, most of the data will be stored QR-encoded and compressed. A human-readable index and guide will itemize the location of each repository and explain how to recover the data.

The company further shared that every reel of the archive includes a copy

of the “Guide to the GitHub Code Vault” in five languages, written with input from GitHub’s community and available at the Archive Program’s own GitHub repository.

#github #open-source #coding #open-source-contribution #contributing-to-open-source #github-arctic-code-vault #arctic-code-vault #arctic-code-vault-contributor

Static Code Analysis: What It Is? How to Use It?

Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.

Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.

“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”

• J. Robert Oppenheimer

Outline

We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.

We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.

Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use ast module, and wide adoption of the language itself.

How does it all work?

Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:

As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:

Scanning

The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.

A token might consist of either a single character, like (, or literals (like integers, strings, e.g., 7, Bob, etc.), or reserved keywords of that language (e.g, def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.

Python provides the tokenize module in its standard library to let you play around with tokens:

Python

1

import io

2

import tokenize

3

4

code = b"color = input('Enter your favourite color: ')"

5

6

for token in tokenize.tokenize(io.BytesIO(code).readline):

7

    print(token)

Python

1

TokenInfo(type=62 (ENCODING),  string='utf-8')

2

TokenInfo(type=1  (NAME),      string='color')

3

TokenInfo(type=54 (OP),        string='=')

4

TokenInfo(type=1  (NAME),      string='input')

5

TokenInfo(type=54 (OP),        string='(')

6

TokenInfo(type=3  (STRING),    string="'Enter your favourite color: '")

7

TokenInfo(type=54 (OP),        string=')')

8

TokenInfo(type=4  (NEWLINE),   string='')

9

TokenInfo(type=0  (ENDMARKER), string='')

(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)

#code quality #code review #static analysis #static code analysis #code analysis #static analysis tools #code review tips #static code analyzer #static code analysis tool #static analyzer

GitHub stores open source code in an Arctic Code Vault

GitHub stores open source code in an Arctic Vault

Last year, GitHub announced plans to store its open source code in a vault built to last 1,000 years. On July 8th, code in active public GitHub repositories as of February 2nd, 2020, was archived and included in the Arctic Code Vault. GitHub invested in the Arctic Code Vault so that open source code will survive the next millennium.

In a blog post sharing the news, GitHub’s Julia Metcalf shared that Piql (GitHub’s archive partner) wrote 21TB of repository data to 186 reels of piqlFilm to support the repository. Their initial plan was for GitHub’s team to escort the code vault from Norway to its final home in the Arctic.

Due to COVID-19, those plans had to shift —but ultimately, a pandemic couldn’t stop the project. Once the Norwegian archipelago of Svalbard re-opened its borders, the Piql team delivered the vault to its resting place. GitHub contributors with code in the Vault now have badges on their profiles:

screen_shot_2020-07-20_at_9.12.04_pm.png

(Lauren Maffeo, CC BY-SA 4.0)

The Linux Foundation launches new COVID-19 open source initiative

When the COVID-19 pandemic erupted last winter, several open source projects tried to make sense of it. Most projects thus far have been one-offs; now, the Linux Foundation aims to unite them.

#github #arctic vault #npm.

Contributing to The Arctic Code Vault.

Why the Arctic?

There is similar storage for all the seeds stored in the world known as the ‘Svalbard Seed Vault or Global Seed Vault’ Svalbard Global Seed Vault — Crop Trust .

This is the objective of the Seed Vault:

It is a long-term seed storage facility, built to stand the test of time — and the challenge of natural or man-made disasters. The Seed Vault represents the world’s largest collection of crop diversity.

Why is the preservation of code necessary?

All the current storage options available ranging from hard drives, SSDs, CDs are only robust enough to last for a few decades. So to extend this preservation beyond this limitation to a lifespan of over 1000 years the data will instead be stored on 3,500-foot silver halide film reels.

When was the first storage done?

On 02/02/2020, which included all the active public and dormant GitHub repositories.

#arctic-code-vault #github

Guidelines for Java Code Reviews

Get a jump-start on your next code review session with this list.

Having another pair of eyes scan your code is always useful and helps you spot mistakes before you break production. You need not be an expert to review someone’s code. Some experience with the programming language and a review checklist should help you get started. We’ve put together a list of things you should keep in mind when you’re reviewing Java code. Read on!

1. Follow Java Code Conventions

2. Replace Imperative Code With Lambdas and Streams

3. Beware of the NullPointerException

4. Directly Assigning References From Client Code to a Field

5. Handle Exceptions With Care

…

#java #code quality #java tutorial #code analysis #code reviews #code review tips #code analysis tools #java tutorial for beginners #java code review