qiwihui qiwihui

Sending Ether Cheat Sheet

🥇 Instead of sending Ether, use the withdrawal pattern

🥈 If you really need to send Ether, use a safe wrapper like OpenZeppelin's Address.sendValue(addr, amount)

🥉 If you really need to send Ether without dependencies, use (bool success, ) = addr.call{value: amount}("")

$ sudo apt-get install lm-sensors
$ sudo sensors-detect
$ sensors

iwlwifi-virtual-0
Adapter: Virtual device
temp1:        +57.0°C

acpitz-virtual-0

Convert makrdown to reStructuredText

pandoc --from=markdown --to=rst --output=README.rst README.md

	$ sui client object 0x84fe8e597bcb9387b2911b5ef39b90bb111e71a2

	----- Move Object (0x84fe8e597bcb9387b2911b5ef39b90bb111e71a2[539]) -----
	Owner: Account Address ( 0x659f89084673bf4a993cdea89a94dabf93a2ddb4 )
	Version: 539
	Storage Rebate: 289
	Previous Transaction: 7p1nmTPYE9884gBCJL6sah2t6Vzh9P59MUeFVURXaEFx
	----- Data -----
	type: 0x59a85fbef4bc17cd73f8ff89d227fdcd6226c885::token_helper::FoxOrChicken
	alpha: 5

	/// @title Escrow
	/// @dev Basic escrow module: holds an object designated for a recipient until the sender approves withdrawal.
	module SFC::Escrow {
	use StarcoinFramework::Signer;
	use StarcoinFramework::Option::{Self, Option};

	struct Escrow<T: key + store> has key {
	recipient: address,
	obj: Option<T>
	}

	// SPDX-License-Identifier: GPL-3.0

	pragma solidity >=0.7.0 <0.9.0;

	contract HellowWorld {

	uint256 number;

	function storeNumber(uint256 num) public {
	number = num;

	// SPDX-License-Identifier: GPL-3.0
	pragma solidity >=0.7.0 <0.9.0;
	/// @title Voting with delegation.
	contract Ballot {
	// This declares a new complex type which will
	// be used for variables later.
	// It will represent a single voter.
	struct Voter {
	uint weight; // weight is accumulated by delegation
	bool voted; // if true, that person already voted

	'''Train a simple deep NN on the MNIST dataset.
	Get to 98.40% test accuracy after 20 epochs
	(there is a lot of margin for parameter tuning).
	2 seconds per epoch on a K520 GPU.
	'''

	import numpy as np
	np.random.seed(1337) # for reproducibility
	from functools import partial
	from keras.datasets import mnist

	# Ruby is our language as asciidoctor is a ruby gem.
	lang: ruby
	before_install:
	- sudo apt-get install pandoc
	- gem install asciidoctor
	script:
	- make
	after_success:
	- .travis/push.sh
	env: