Unraveling the Creation of Blockchained NFT PFPs in Golang: Hash Names and eDNA

Introduction:

Non-fungible tokens (NFTs) have taken the world by storm, becoming a key component of the digital art and collectibles market. As the popularity of NFTs continues to rise, understanding the technology and processes behind their creation is essential. In this article, we will delve into the world of blockchained NFT Profile Pictures (PFPs), focusing on how the unique hash names and eDNA for these tokens are calculated using Golang.

How are the unique hash names and eDNA for the NFT calculated?

  1. Deriving the hash name:

Each NFT’s name is a hash derived from its unique visual representation – a 1024 (32×32) pixel image, with a maximum of 216 different colors. The color codes are numbered from 0 to 215, and are represented in a byte array of []byte{n1,n2,n3…,n1024}, where ‘n’ denotes the numeric value of the color codes.

var nft [1024]byte;
  1. Generating the hash code:

To generate the hash code for an NFT, the first 8 bytes of the blake3 algorithm are used. This results in a vast number of possible combinations – 1.8446744 x 10^19, to be exact. The hash code is represented in hexadecimal value, as demonstrated in the following code snippet:

hashCode := fmt.Sprintf("%x",blake3(nft)[:8]);
  1. Representing the hash code on VIPSLAND NFT membership passes:

VIPSLAND is an exclusive community where members are granted access through NFT-based membership passes. Each of these membership passes contains a unique hash code representing the member’s NFT. This hash code is displayed in a human-readable 3×3 pixel font, providing a simple yet elegant way of verifying the NFT’s authenticity.

Conclusion:

The creation of blockchained NFT PFPs involves several steps, including the derivation of unique hash names and the calculation of eDNA using Golang. Understanding these processes can help digital artists, collectors, and developers alike to better navigate the rapidly evolving world of NFTs. The VIPSLAND NFT membership pass is just one example of how these technologies are being integrated into innovative applications, shaping the future of digital art and collectibles.

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