New Message Types and Functions Introduced for Nostr Handling
Several new message types and enums related to Nostr have been added across multiple files, including messages.proto, messages-nostr.proto, MessageType.py, and messages.py.
Enhancements in Firmware for Nostr Inclusion
Multiple modifications were made in the legacy/firmware module. Notably, code implementation to handle Nostr-related functionality is reflected in ada.c, fsm.c, and language.c files. This could mean improved methods for the firmware to handle Nostr-related data.
Addition of Base64 Encoding and Decoding
The newly initiated base64.c and base64.h files in legacy/firmware will facilitate base64 encoding and decoding - a common method for data transformation.
Joystream Network Handling
Changes in files like polkadot.c, parser_impl_common.c, substrate_dispatch.c, and substrate_dispatch_V18.c evidence the inclusion of conditions and functions to accommodate the "joystream" network. This ensures compatibility with a wider range of networks.
Addition of New Nostr-related Files
The addition of nostr.c and nostr.h files outlines the functionality related to Nostr, including public key retrieval, message signing, and Schnorr hashing. This could suggest a more robust Nostr interaction experience.
Updates in Versioning
An update from an older version to 3.6.0 in the version.h file can indicate improved features, enhancements, or resolved issues.
New Function for Hex String Conversion
The addition of a new function hex2data aims to convert hex string to binary data. This could contribute towards better handling of hexadecimal data.
Addition of Classes and Fields for Nostr Functions
The addition of specific classes and fields for various Nostr functions in messages.py, like message signing, encryption and decryption, shows a step towards enhancing Nostr-related functionalities.
In summary, this PR mainly focuses on integrating Nostr into the software, handling the "joystream" network, and enhancing data transformation methods. The inclusion of these changes aims to expand the software's capacities and improve its performance.
PR Summary
New Message Types and Functions Introduced for Nostr Handling Several new message types and enums related to Nostr have been added across multiple files, including
messages.proto
,messages-nostr.proto
,MessageType.py
, andmessages.py
.Enhancements in Firmware for Nostr Inclusion Multiple modifications were made in the
legacy/firmware
module. Notably, code implementation to handle Nostr-related functionality is reflected inada.c
,fsm.c
, andlanguage.c
files. This could mean improved methods for the firmware to handle Nostr-related data.Addition of Base64 Encoding and Decoding The newly initiated
base64.c
andbase64.h
files inlegacy/firmware
will facilitate base64 encoding and decoding - a common method for data transformation.Joystream Network Handling Changes in files like
polkadot.c
,parser_impl_common.c
,substrate_dispatch.c
, andsubstrate_dispatch_V18.c
evidence the inclusion of conditions and functions to accommodate the "joystream" network. This ensures compatibility with a wider range of networks.Addition of New Nostr-related Files The addition of
nostr.c
andnostr.h
files outlines the functionality related to Nostr, including public key retrieval, message signing, and Schnorr hashing. This could suggest a more robust Nostr interaction experience.Updates in Versioning An update from an older version to
3.6.0
in theversion.h
file can indicate improved features, enhancements, or resolved issues.New Function for Hex String Conversion The addition of a new function
hex2data
aims to convert hex string to binary data. This could contribute towards better handling of hexadecimal data.Addition of Classes and Fields for Nostr Functions The addition of specific classes and fields for various Nostr functions in
messages.py
, like message signing, encryption and decryption, shows a step towards enhancing Nostr-related functionalities.In summary, this PR mainly focuses on integrating Nostr into the software, handling the "joystream" network, and enhancing data transformation methods. The inclusion of these changes aims to expand the software's capacities and improve its performance.