$ git checkout --orphan NEWBRANCH
$ git rm -rf .
--orphan creates a new branch, but it starts without any commit. After running the above command you are on a new branch "NEWBRANCH", and the first commit you create from this state will start a new history without any ancestry.
You can then start adding files and commit them and they will live in their own branch. If you take a look at the log, you will see that it is isolated from the original log.
| # fly.toml file generated for still-snowflake-6351 on 2023-03-30T09:53:40+08:00 | |
| kill_signal = "SIGINT" | |
| kill_timeout = 5 | |
| primary_region = "sin" | |
| processes = [] | |
| [build] | |
| image = "bayedev/opencatd" |
| TARGET ?= a.out | |
| SRC_DIRS ?= . | |
| SRCS := $(shell find $(SRC_DIRS) -name '*.cpp' -or -name '*.c') | |
| OBJS := $(addsuffix .o,$(basename $(SRCS))) | |
| DEPS := $(OBJS:.o=.d) | |
| INC_DIRS := $(shell find $(SRC_DIRS) -type d -not -path '*/.*') | |
| INC_FLAGS := $(addprefix -I,$(INC_DIRS)) |
| # from colorprint import succ, fail, info | |
| from termcolor import colored, cprint | |
| DEBUG = True | |
| def succ(string): | |
| if DEBUG: | |
| cprint(string, 'green') | |
| else: | |
| print(string) |
| #! /bin/bash | |
| # from https://www.tensorflow.org/install/gpu | |
| # Add NVIDIA package repositories | |
| wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb | |
| sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb | |
| sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | |
| sudo apt-get update | |
| wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb | |
| sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb |
| { | |
| "folders":[ | |
| { | |
| "path":".", | |
| "name":"thesis", | |
| "file_exclude_patterns":[ | |
| "*.blg", | |
| "*.bbl", | |
| "*.aux", | |
| "*.log", |
| # https://unix.stackexchange.com/a/368927 | |
| prompt_command() { | |
| # initialize the timestamp, if it isn't already | |
| _bashrc_timestamp=${_bashrc_timestamp:-$(stat -c %Y "$HOME/.bashrc")} | |
| # if it's been modified, test and load it | |
| if [[ $(stat -c %Y "$HOME/.bashrc") -gt $_bashrc_timestamp ]] | |
| then | |
| # only load it if `-n` succeeds ... | |
| if $BASH -n "$HOME/.bashrc" >& /dev/null | |
| then |
| #ifndef TMP_NAME_H | |
| #define TMP_NAME_H 1 | |
| #ifdef __cplusplus | |
| extern "C" { | |
| #endif | |
| #include <stdlib.h> | |
| #include <sys/time.h> | |
| #include <string.h> |
| #include <stdio.h> | |
| #include <assert.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| #include <time.h> | |
| #define NSECPSEC 1000000000 | |
| /* | |
| * benchmark_time.c -- benchmark_time module definitions |
zhihu-formatter 这个插件能够比较方便地对知乎答案进行重排，便于之后使用印象笔记进行剪藏。
插件的重排功能适用于单个答案的页面，即类似 https://www.zhihu.com/question/19550225/answer/95067981 的链接。单个答案的链接可由答案下面的 "分享" => "复制链接" 获得。但如下所示的复制到剪贴板中的内容中不仅包含链接还有问题和回答者等其它内容，想只提取其中的链接部分（第二行）。
如何使用知乎？ - 知乎小管家的回答 - 知乎
https://www.zhihu.com/question/19550225/answer/95067981
MacOS 用户可以通过 Automator 比较简单地获取到其中的链接。