cjpais

Verifying my Blockstack ID is secured with the address 1HxHY1Z3ngHaG7qB6Ry3tpaaEjjjRXgcsf https://explorer.blockstack.org/address/1HxHY1Z3ngHaG7qB6Ry3tpaaEjjjRXgcsf

cjpais

Keybase proof

I hereby claim:

• I am sipjca on github.
• I am cjpais (https://keybase.io/cjpais) on keybase.
• I have a public key ASBB5Th6ka2BexYqP74sEFrHQc8GDICmzQ7k6rPR4tk2jwo

To claim this, I am signing this object:

cjpais

syntax enable
set backspace=2
set nu
set softtabstop=4
set shiftwidth=4
set expandtab
filetype indent on
set showmatch
set incsearch
set hlsearch

cjpais

import urllib.request                                                                                                                                                              
import time
import random

while True:
    try:
        response = urllib.request.urlopen('https://apple.com/')
        html = response.read()
    except:
        print("some error but graceful handling (aka ignoring)")

cjpais

var ethers = require("ethers");

let role = ethers.utils.keccak256(ethers.utils.toUtf8Bytes('MINTER_ROLE'));
console.log(role)

cjpais

{
  "React Function Component": {
    "prefix": "rfc",
    "body": [
      "import React from 'react'",
      "",
      "const ${name:${TM_FILENAME_BASE/(.*)/${1:/capitalize}/}} = () => {",
      "\treturn (",
      "\t\t<div className=\"${classname:${TM_FILENAME_BASE/(.*)/${1:/downcase}/}}\">",
      "\t\t\t$0",

cjpais

uint256[]

uint256 layout;

Benefits: Supports infinitely large maps up to the gas limit Limitation: Doesn't use bytes as input, so the complexity to develop with could be more annoying without proper tooling

Solidity Helper Functions

cjpais

{
  "React Function Component": {
    "prefix": "rfc",
    "body": [
      "import React from 'react'",
      "",
      "const ${name:${TM_FILENAME_BASE/(.*)/${1:/capitalize}/}} = () => {",
      "\treturn (",
      "\t\t<div className=\"${classname:${TM_FILENAME_BASE/(.*)/${1:/downcase}/}}\">",
      "\t\t\t$0",

cjpais

import argparse
import glob
import os
import torch
from safetensors import safe_open
from safetensors.torch import save_file


ap = argparse.ArgumentParser()
ap.add_argument("-m", "--model", help="Path to LLaVA v1.5 model")