Provably Rare Gem Miner.

Last update: Nov 22, 2022

Related tags

Deep Learning Provably-Rare-Gem-Miner

Overview

Provably Rare Gem Miner

just another random project by yoyoismee.eth

useful link

useful thing you should know

read contract -> gems(gemID) to get useful info
write contract -> mine to claim(kind, salt) to claim your NFT

to run. just edit the python file and run it.

pip install -r requirement.txt
python3 stick_the_miner.py

or new one auto_mine.py for less input. but you'll need infura account

Ps. too lazy to write docs. but it's 50 LoCs have fun.

why stick the miner ? welp.. this is part of the stick the BUIDLer series.

TL;DR - I'm working on a series of opensource NFT related project just for fun.

Key parameters to change if you are using orginal version 'stick_the_miner.py' (cr. K Nattakit's FB post)

chain_id - eth:1, fantom:250
entropy - ??
gemAddr - Game address, can get from https://gems.alphafinance.io/ (loot/bloot/rarity)
userAddr - your Wallet address
kind = ประเภทของเพชรที่จะขุด ผมแนะนำเป็น Emerald เพราะ return/difficult สูงที่สุด ง่าย ๆ คือคุณจะกำไรเร็วกว่านั่นเอง
nonce - number of times you've minted a gem (https://gems.alphafinance.io/ and connect your wallet)
diff - difficulty of gemID (https://gems.alphafinance.io/), note that this changes everytime someone minted that gem, so you need to change it too

(more detail) how to use 'auto_mine.py', the updated version of stick_the_miner

benefits: manual version (stick_the_miner.py) requires you to update the 'diff' parameter every time someone minted the nft of the target gem, and 'nounce' if you successfully minted one. This version automates that so you just have to rerun to update.
steps:
1. update requirements pip install -r requirements.txt
1. create an account at (https://infura.io/), select your chain (e.g. Ethereum), create a project and obtain your project ID
1. create a .env file in the same format as .env-example, inputing your information from (2.), your wallet address and gem ID
1. python3 auto_mine.py
Note: although you dont have to manually adjust 'diff' parameter everytime, you still need to restart the process everytime someone minted target gem's nft still

Once you get the salt:

Go to etherscan or ftmscan
eth: https://etherscan.io/address/0xC67DED0eC78b849e17771b2E8a7e303B4dAd6dD4
fantom: https://ftmscan.com/address/0x342EbF0A5ceC4404CcFF73a40f9c30288Fc72611
Select Contract > Write as Proxy > Connect your wallet (remember to select the right chain)
Select 5.Mine > type in your gemID and salt that you just obtain > Write
You will be prompted to pay a small gas fee (check gas at https://www.gasnow.org/), if the gas price is very high (>1 or 2 eth), then it means you are too late
Done, now you can sell your gems on opensea, or keep it
If you made some profit, go to https://opensea.io/collection/stick-the-buidler?collectionSlug=stick-the-buidler to buy some nft to support the creator!

Multicore version

Normal version uses only 1 core of processors, the multicore version should be ~8 times faster depending on your CPU / coreNumber variable
You can select the number of processors by chainging coreNumber variable (should not exceed ~16 tho)
"fantom_mining_pool_auto_multicore_line.py" is the multicore version of fantom_mining_pool.py
for mining by yourself and manual claim please use "fantom_multicore_line.py"

Comments

🎨Added colorlog package for output with colors

I use the classic stick_the_miner.py for mining and had a hard time looking for the salt output due to the monochrome color. So, I decided to differentiate the salt output with the colorlog package😁

opened by mickyngub 2
Multicore version of the miner for both pool mining and self mining

Depending on your CPU and the coreNumber variable, it should be ~8 times faster than the original version but with the drawback of a tremendous increase in CPU utilization.

opened by mickyngub 1
Lowering the priority of python.exe to reduce lags

If a user is mining gems in the background while using other compute-intensive programs, the user might experience lags due to 100% CPU utilization. By lowering the priority of python.exe miner, other programs will have higher priorities. Thus, users would be less likely to experience lagging issues.

Under a normal circumstance in which the CPU utilization is less than 100%, it should have no impact on iter/sec.

Before

After

opened by mickyngub 1
update fantom_mining_pool
edit .env-example add NOTIFY_AUTH_TOKEN, DIFF and PRIVATE_KEY

edit var private_key to PRIVATE_KEY

insert if PRIVATE_KEY != ''

get PRIVATE_KEY from .env for safety
opened by NuttakitDW 0
why other people mint so quickly

https://ftmscan.com/address/0x729d74098f6669541ed1b69403ae75f080ccf1e1

this people mint level 4 gems so quickly ，his salt is too low, but execute success.

are you knonw the reason?

opened by sumrise 3
refactor to support multiple chain properly

some of our code is unnecessary based on Ethereum e.g. infura_key, hard code chain no, and more todo: refactor to a more generic one that would be valid across all EVM compatible chain e.g. infura_key -> rpc_provider (also fix others code to match this change) and more

also TODO: remove the quick fix for fantom file LOL

opened by yoyoismee 0
Idea for sampling different range of int random on multiple workers

Will probably do tmr, parse n worker to the get_salt function so each worker could random int from different range of numbers eg. worker 1: 1-2^122, worker 2: 2^122 to 2^123

opened by Duayt 1

Releases(v0.0.1d-test-build)

v0.0.1d-test-build(Sep 9, 2021)

Source code(tar.gz)
Source code(zip)
miner.exe(15.09 MB)
miner.zip(10.93 MB)
v0.0.1c-test-build(Sep 9, 2021)

Source code(tar.gz)
Source code(zip)
v0.0.1b-test-build(Sep 9, 2021)

Source code(tar.gz)
Source code(zip)
v0.0.1-test-build(Sep 9, 2021)

Source code(tar.gz)
Source code(zip)

Owner

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Provably Rare Gem Miner.

Related tags

Overview

Provably Rare Gem Miner

just another random project by yoyoismee.eth

Key parameters to change if you are using orginal version 'stick_the_miner.py' (cr. K Nattakit's FB post)

(more detail) how to use 'auto_mine.py', the updated version of stick_the_miner

Once you get the salt:

Multicore version

Comments

🎨Added colorlog package for output with colors

Multicore version of the miner for both pool mining and self mining

Lowering the priority of python.exe to reduce lags

update fantom_mining_pool

why other people mint so quickly

refactor to support multiple chain properly

Idea for sampling different range of int random on multiple workers

Releases(v0.0.1d-test-build)

v0.0.1d-test-build(Sep 9, 2021)

v0.0.1c-test-build(Sep 9, 2021)

v0.0.1b-test-build(Sep 9, 2021)

v0.0.1-test-build(Sep 9, 2021)

Owner

给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本

Twin-deep neural network for semi-supervised learning of materials properties

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

[ICCV 2021 Oral] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

Voxel-based Network for Shape Completion by Leveraging Edge Generation (ICCV 2021, oral)

Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

Exploring Visual Engagement Signals for Representation Learning

Demonstration of transfer of knowledge and generalization with distillation

xitorch: differentiable scientific computing library

We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

PyTorch implementation for Graph Contrastive Learning with Augmentations

Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

Implementation of the paper Recurrent Glimpse-based Decoder for Detection with Transformer.

Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

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Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images (ICCV 2021)

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