cheekybastard

Optimize the Rust and Python bindings in this Rust crate to its maximum potential. Specifically, you MUST make a breakthrough from this current implementation that uses modern concepts and knowledge as of 2026 to further improve this crate without causing ANY significant regressions.

First, before making any library changes, run the Rust and Python benchmarks (and any competitor benchmarks if applicable) to establish a True Performance Baseline for both speed and metric performance. Return the absolute and relative results to the True Performance Baseline to the user as a Markdown table.

Then, optimize the Rust and Python library code such that these benchmarks are atleast 1.2x faster from the True Performance Baseline; ideally as fast as possible, without any significant regressions on quality and prediction error. NEVER hack the benchmarks to accomplish this speed increase, only iterate on the library code. Ensure all benchmark iterations are independent, e.g. NEVER reuse a cache built in

cheekybastard

// https://rxjs.dev/api
const { from, timer } = require('rxjs');
const { last, map, catchError, switchMap } = require('rxjs/operators');
// https://danfo.jsdata.org/
const dfd = require('danfojs-node');

let latestBlocktime = 2.2;

function getBlocktime() {
  return from(dfd.readCSV('https://polygonscan.com/chart/blocktime?output=csv')).pipe(

cheekybastard

Translate EVM bytecode into opcodes using pure Regex :)

Demo: https://twitter.com/0x796/status/1608039943582142464

Try here: https://regex101.com/

Use PCRE2 (Perl compatible) Regex flavor.

Search:

cheekybastard

import httpx
import cytoolz as tz  # type: ignore
from cytoolz import curried as c  # type: ignore

black_list_crypto: list = ['FTT', 'SOL', 'CHZ', 'BNT', 'SUSHI']
COLLATERAL: int = 1500
BASE_SPREAD: float = 0.0025

gtrade_trading_vars: dict = httpx.get("https://gains-farm-v2-mainnet.herokuapp.com/trading-variables").json()
FROM_SYMBOLS_ALL: list = [x['from'] for x in gtrade_trading_vars['pairs']]

cheekybastard

I contributed to the Semaphore Trusted Setup Multi-Party Ceremony.
The following are my contribution signatures:
Circuit: semaphore16 
          Contributor # 182
          Hash: aaf3a1da 5881ccef 2947e06c 6b79febf
 eb07c335 9e34cd10 60f57ea7 39e446a2
 11d3df5e b024ce28 bef24ee4 293307eb
 7b562eec e4df87b3 fab92b8a 2126610e

cheekybastard

"""
pip install httpx orjson websockets loguru chime

to run:
    python -u "<folder_path>/wss_logger.py"

"""
import sys
import asyncio
import httpx

cheekybastard

from brownie import accounts, chain, Contract, Wei
from eth_abi.packed import encode_abi_packed

user = accounts[0]
weth = Contract('0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', owner=user)
dai = '0x6B175474E89094C44Da98b954EedeAC495271d0F'
rai = '0x03ab458634910AaD20eF5f1C8ee96F1D6ac54919'

# https://github.com/Uniswap/uniswap-v3-periphery/blob/main/deploys.md
quoter = Contract('0xb27308f9F90D607463bb33eA1BeBb41C27CE5AB6')

cheekybastard

>>> yswap = Contract.from_explorer('0x45F783CCE6B7FF23B2ab2D70e416cdb7D6055f51')
>>> yusd = Contract.from_explorer('0x5dbcF33D8c2E976c6b560249878e6F1491Bca25c')
>>> ycrv = Contract.from_explorer('0xdF5e0e81Dff6FAF3A7e52BA697820c5e32D806A8')
# coins are 0 = idai, 1 = iusdc, 2 = iusdt, 3 = itusd
# underlying coins are 0 = dai, 1 = usdc, 2 = usdt, 3 = tusd
# this gets us the i-counterparts which also sit in money markets
>>> coins = [Contract.from_explorer(yswap.coins(i)) for i in range(4)]
>>> dec = [10 ** coin.decimals() for coin in coins]
[1000000000000000000, 1000000, 1000000, 1000000000000000000]

cheekybastard

#http://sujitpal.blogspot.com.au/2013/03/the-wikipedia-bob-alice-hmm-example.html
#http://en.wikipedia.org/wiki/Hidden_Markov_model

from __future__ import division
import numpy as np
from sklearn import hmm

states = ["Rainy", "Sunny"]
n_states = len(states)

cheekybastard

# ========================================
# Testing n-gram analysis in ElasticSearch
# ========================================

curl -X DELETE localhost:9200/test
curl -X PUT    localhost:9200/test -d '
{
  "settings" : {
    "index" : {
      "analysis" : {