rssalessio/algorand-royalty-fees

This is a short tutorial that explains how to implement Royalty Fees using Inner Transactions and Teal v5 capabilities in the Algorand blockchain

Welcome to my personal GitHub page!

I am a researcher in Reinforcement Learning and Control methodology. I have a Ph.D. in Electrical Engineering from KTH Royal Insitute of Technology (Stockholm), where I was supervised by Prof. Proutiere Alexandre at the Division of Decision and Control Systems.

My research involves the study of Reinforcement Learning and data-driven control, including

• Exploration in Reinforcement Learning
• Reinforcement learning methodology
• Conformal prediction
• Learning in control
• Poisoning attacks on Sequential Decision Makers (Reinforcement Learning, Adaptive Control, Data-Driven Control)
• Attack detectability

Check out also my website

My Github Stats

Some important Repos

• Reading list: here I keep track of interesting papers

• Research related

  • Model Free Active Exploration in Reinforcement learning
  • Conformal Prediction for Off-Policy Evaluation in MDPs
  • Data poisoning of linear systems
  • OSRL-SC, Optimal Representation Learning in Multi-Task Bandits
  • TZDDPC, Tube-based Zonotopic Data-Driven Predictive COntrol
  • STTMPC, Self-Tuning Tube-based MPC
  • Privacy Stochastic Systems
  • DPE, Optimal algorithms for multi-agent bandit models
  • Poisoning of Data Driven Controllers (TBA)
  • Optimal Attacks on RL Policies (TBA)

• Libraries

  • PyZPC: an implementation of ZPC in Python (Zonotopic Data Driven Predictive Control)
  • PyZonotope: a library that enables the usage of Zonotopes in CVXPY
  • PythonVRFT: a python implementation of the VRFT algorithm
  • PyDataDrivenReachabilityAnalysis: a python implementation of data-driven rechability analysis based on zonotopes
  • PyQuadraticFormNormal: Python library that implements the computation of the distribution of a linear combination of non-centered χ2 random variables
  • PyDeePC: A python implementation of the data-driven predictive control algorithm DeePC
  • py-lower-bound-bai: A python library that solves the best-arm identification problem in classical multi-armed bandit models.
  • nnGA: Neural Network Genetic Algorithm library used for deep learning problems
  • PytorchRBFLayer: Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.
  • AdaptiveControlLibrary: Adaptive Control Library in Matlab
  • TBC

• Other repos

  • Algorand Royalty Fees: a tutorial that shows how to implement royalty fees on the Algorand blockchain
  • TBC

algorand-royalty-fees's Issues

Running Project Inconveniences

~/github/algorand-royalty-fees$ source scripts/start_network.sh
goal not found. Please install goal and try again

Having trouble finding tutorials and resources on how to install goal-cli

---

Followed Guide here: https://developer.algorand.org/docs/run-a-node/setup/install/#installation-with-a-package-manager
to install goal-cli
first script worked fine, second script killed terminal.

the process kept running, stop_network did not stop it from running on pc.
The process kept running under the user algorand, and algorad file

Definitely bad practice but had to uninstall algorand to stop the process from running

Error compiling pyTeal smartcontract

This is the version of pyTEAL:

Collecting pyteal
Downloading pyteal-0.13.0-py3-none-any.whl (183 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 183.6/183.6 kB 27.9 MB/s eta 0:00:00
Collecting py-algorand-sdk
Downloading py_algorand_sdk-1.13.1-py3-none-any.whl (159 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 159.0/159.0 kB 38.1 MB/s eta 0:00:00
Collecting pycryptodomex<4,>=3.6.0
Downloading pycryptodomex-3.14.1-cp35-abi3-manylinux2010_x86_64.whl (2.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 67.2 MB/s eta 0:00:00
Collecting msgpack<2,>=1.0.0
Downloading msgpack-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (323 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 323.7/323.7 kB 54.0 MB/s eta 0:00:00
Collecting pynacl<2,>=1.4.0
Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (856 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 856.7/856.7 kB 68.9 MB/s eta 0:00:00
Collecting cffi>=1.4.1
Downloading cffi-1.15.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (446 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 446.3/446.3 kB 54.9 MB/s eta 0:00:00
Collecting pycparser
Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)
Installing collected packages: msgpack, pycryptodomex, pycparser, cffi, pynacl, py-algorand-sdk, pyteal
Successfully installed cffi-1.15.0 msgpack-1.0.3 py-algorand-sdk-1.13.1 pycparser-2.21 pycryptodomex-3.14.1 pynacl-1.5.0 pyteal-0.13.0

Compile error:

python3 src/smart_contract.py src/approval.teal src/clear.teal
Traceback (most recent call last):
File "/root/algorand-royalty-fees/src/smart_contract.py", line 25, in
def defaultTransactionChecks(txnId: Int) -> TealType.none:
File "/usr/local/lib/python3.10/dist-packages/pyteal/ast/subroutine.py", line 356, in call
return SubroutineFnWrapper(
File "/usr/local/lib/python3.10/dist-packages/pyteal/ast/subroutine.py", line 302, in init
self.subroutine = SubroutineDefinition(
File "/usr/local/lib/python3.10/dist-packages/pyteal/ast/subroutine.py", line 46, in init
impl_params, anns, arg_types, byrefs = self._validate()
File "/usr/local/lib/python3.10/dist-packages/pyteal/ast/subroutine.py", line 82, in _validate
raise TealInputError(
pyteal.TealInputError: Function has return of disallowed type TealType.none. Only Expr is allowed

Python Version:

python3 --version
Python 3.10.4