reputation-systems / reputation-graph-service Goto Github PK
View Code? Open in Web Editor NEWRust library to compute reputation graphs based on sigma protocols
Rust library to compute reputation graphs based on sigma protocols
SurrealDB does not have the capability to use a database in the browser with Rust-WASM API, only JS. Therefore, it will need to be implemented when available.
Apply polarization in the proofs, this way a boolean attribute indicates whether it is in favor or against the pointer of said proof.
Likewise, limit the amount to positive values.
This will prevent double expenses with tests having both positive and negative amounts.
Throws this error on spend.rs
thread '<unnamed>' panicked at src/database/spend.rs:28:16: Invalid response or error connection from the database: Db(Tx("IO error: While open a file for appending: /home/jse/Projects/compute-reputation-graph/reputation.db/013046.dbtmp: Too many open files")) note: run with
RUST_BACKTRACE=1environment variable to display a backtrace Exception in thread Thread-1 (manager_thread): Traceback (most recent call last): File "/usr/lib/python3.11/threading.py", line 1038, in _bootstrap_inner self.run() File "/usr/lib/python3.11/threading.py", line 975, in run self._target(*self._args, **self._kwargs) File "/home/usuario/nodo/src/manager/maintain_thread.py", line 90, in manager_thread maintain_containers() File "/home/usuario/nodo/src/manager/maintain_thread.py", line 48, in maintain_containers submit_reputation_feedback(token=token, amount=10) File "/home/usuario/nodo/src/reputation_system/simple_reputation_feedback.py", line 13, in submit_reputation_feedback lib_spend("", amount, pointer) pyo3_runtime.PanicException: Invalid response or error connection from the database: Db(Tx("IO error: While open a file for appending: /home/jse/Projects/compute-reputation-graph/reputation.db/013046.dbtmp: Too many open files"))
Apply compression to aggregated proofs towards the same pointer. This way, disk usage will be drastically reduced.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.