Anthony Zhang Uberi

Co-founder at Hypotenuse Labs. Formerly: CS @ uWaterloo

Uberi / storage.sol

Created September 14, 2018 02:31

Created using remix-ide: Realtime Ethereum Contract Compiler and Runtime. Load this file by pasting this gists URL or ID at https://remix.ethereum.org/#version=soljson-v0.4.25+commit.59dbf8f1.js&optimize=true&gist=

	pragma solidity ^0.4.0;

	contract Storage {
	uint value;

	function set(uint newValue) public {
	value = newValue;
	}

	function get() public view returns (uint) {

Uberi / index.html

Last active September 15, 2018 06:16

Introduction to Web3 talk - sample dApp for setting/getting the value of a variable. https://hypotenuse.ca/intro-to-web3/

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8" />
	<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/ethereum/web3.js/dist/web3.min.js"></script>
	<script type="text/javascript" src="index.js"></script>
	<title>Storage Smart Contract</title>
	</head>

	<body>

Uberi / coordinate-system-conversion.py

Created April 1, 2019 23:20

	POINTS_PER_CHARACTER = 72.23 / 13

	def row_col_offset_to_xy_points(row, col, offset_x, offset_y, col_widths, row_heights):
	pos_x = sum(col_widths[i] for i in range(col)) * POINTS_PER_CHARACTER + offset_x
	pos_y = sum(row_heights[j] for j in range(row)) + offset_y
	return (pos_x, pos_y)

Uberi / vertical-binary-search.py

Created April 1, 2019 23:21

Uberi / load-xls.py

Created April 1, 2019 23:21

	import shutil, subprocess, tempfile, os
	import openpyxl

	def load_workbook_xls(filename, **kwargs):
	"""Same as openpyxl.load_workbook, but supports XLS files instead of XLSX files."""
	soffice_path = shutil.which("soffice")
	if soffice_path is None:
	raise EnvironmentError("Can't find `soffice` executable - ensure Libreoffice Calc is installed correctly")

	with tempfile.TemporaryDirectory() as temp_xlsx_directory:

Uberi / cuda_11.8_installation_on_Ubuntu_22.04

Last active June 21, 2023 20:21 — forked from MihailCosmin/cuda_11.8_installation_on_Ubuntu_22.04

Instructions for CUDA v11.8 and cuDNN 8.7 installation on Ubuntu 22.04 for PyTorch 2.0.0

	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check