v8.0.13

Description

The dkg.py 8.0.13 release brings these fixes and improvements to the dkg.py client.

🌟Improvements

• Improved blank node generation logic
• N-Quads being created during JSON-LD parsing will now raise an UnsupportedJSONLD error, followed by a very descriptive message pointing out the n-quads that caused it.

More info: docs.origintrail.io
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v8.0.12

Description

The dkg.py 8.0.12 release simplifies the way the DKG object is instantiated.

🌟Improvements

• Environment variable is derived from blockchain id. Hence, when instantiating BlockchainProvider, instead of specifying the environment parameter, you need to provide the blockchain_id only.

More info: docs.origintrail.io
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v8.0.11

Description

The dkg.py v8.0.11 release adds comprehensive string handling support and includes enhancements for character parsing and encoding.

🚀 Features

• Support for escape characters: \b, \n, \t, \r, etc.
• Support for both single (') and double (") quotes in strings
• Unicode character support (e.g., emojis 😊, Chinese 中文, Cyrillic Кириллица, Japanese 日本語, Korean 한국어, Arabic العربية, etc.)

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🐛 Bug fixes

• Fixed publishing crashes, and data corrupition, due to the above mentioned characters

v8.0.3

Description

Update address of Neuroweb Hestnet Hub in constants for redeployed testnet

v8.0.2

Description

The dkg.py 8.0.2 release brings direct-query support and minor bug fixes.

Direct-query is an improvement over the current query operation, making it 2x faster.

🚀 Features

• Direct query support

🐛Bug fixes

• Fixed too low token amount in demos
• Fixed publish fail due to wrong function call

v1.1.0

Description

We're thrilled to announce the release of dkg.py v1.1.0, with full support for DKG on the Base blockchain! 🌐 This update means your dkg.py client can seamlessly interact with DKG on Base, unlocking new realms of possibility and innovation. Dive in and harness the power of this DKG on Base today!

🚀 Features

• Base Mainnet Support (#31)

#TraceOn

v1.0.0

Description

• The dkg.py 1.0.0 release is introducing Paranets - on-chain autonomous AI systems for collective building of knowledge graphs with knowledge mining incentives! Features in this release allows developers to create, manage, and utilize Paranets effectively. How to interact with Paranets using dkg.py read here.

🚀 Features

• Full assertion module implementation
• Full asset module implementation
• Full paranet module implementation
• Full network module implementation
• Full node module implementation
• Full graph module implementation

#TraceON