Jiren Jin JirenJin

Partition, format, and mount a drive on Ubuntu

Reference:

sudo fdisk -l

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

Function	Shortcut
New Tab	`⌘` + `T`
Close Tab or Window	`⌘` + `W` (same as many mac apps)
Go to Tab	`⌘` + `Number Key` (ie: `⌘2` is 2nd tab)
Go to Split Pane by Direction	`⌘` + `Option` + `Arrow Key`
Cycle iTerm Windows	`⌘` + `backtick` (true of all mac apps and works with desktops/mission control)

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

所得税額 = （所得金額（A）－所得控除額（B）） × 税率 - 税額控除額（C）

	FROM azul/zulu-openjdk:17 AS builder

	RUN apt-get update \
	&& apt-get install -y --no-install-recommends git libprotobuf-dev \
	&& git clone -b development --depth 1 https://github.com/Grasscutters/Grasscutter /work

	WORKDIR /work

	RUN export GRADLE_OPTS="-Dfile.encoding=utf-8" \
	&& git submodule update --init \

	#!/bin/bash
	# Inspired on https://david-kerwick.github.io/2017-01-04-combining-zsh-history-files/
	set -e
	history1=$1
	history2=$2
	merged=$3

	echo "Merging history files: $history1 + $history2"

	test ! -f $history1 && echo "File $history1 not found" && exit 1

	# Working example for my blog post at:
	# http://danijar.com/variable-sequence-lengths-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf
	from tensorflow.models.rnn import rnn_cell
	from tensorflow.models.rnn import rnn


	def lazy_property(function):

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)