rebreath-env-function.back

#rebreath的函数库
#环境变量部分的函数
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

echo "#env setting"> ~/.rebreath/.config
source ~/.rebreath/.config
export PATH=$PATH:$HOME/.rebreath
alias loadenv='source ~/.bashrc'
alias modenv='vim ~/.bashrc'
alias py='python3'
export PYTHONPATH=$PYTHONPATH:$HOME/.rebreath/nebula_pylib
#module load compiler/gcc/12.2.0 2> /dev/null || true
alias modrenv='vim ~/.rebreath/rebreath-env-function'

while IFS= read -r -d '' file; do
    source "$file"
done < <(find ~/.rebreath/envsrc -type f -print0)


#关闭vasp组件未使用警告
export OMPI_MCA_btl_base_warn_component_unused=0


#处理数据集数据的快捷键，可以使用来处理dump文件的数据
#修改显示的样式
#PS1='\[\033[01;36m\]\u——>NebulaFlow:\W\[\033[01;32m\]$\[\033[01;34m\] '

update_NebulaFlow(){
# 该函数使用来快速的更新NebulaFlow函数库
    local initAddress=$(pwd)
    echo "正在更新NebulaFlow..."
    mkdir -p update_temp
    cd update_temp
    git clone https://github.com/re-breath/NebulaFlow.git 
    cd NebulaFlow
    bash NebulaFlowinstaller.sh
    cd $initAddress
    rm -rf update_temp
    echo "NebulaFlow更新完成！"
}

use_agent(){
    export http_proxy="http://192.168.1.10:3128"
}

proxy_download() {
#该函数的作用为使用代理节点下载文件
    local remote_server="dhk@10.14.0.15" 
    local remote_path="/home/dhk/rebreath/proxy_downfiles" 
    local remote_temp_path="${remote_path}/temp" 

    # 用ssh在远程服务器的临时目录创建目录并下载文件
    ssh -i ~/.ssh/id_rsa ${remote_server} "mkdir -p ${remote_temp_path} && cd ${remote_temp_path} && $1"
    
    # 检查远程下载命令的返回值
    if [[ "$?" -ne 0 ]]; then
        echo "文件下载失败，请检查命令并重试。"
        return 1
    fi
    
    # 使用scp从临时文件夹复制所有文件到本地当前目录下
    scp -rv -i ~/.ssh/id_rsa ${remote_server}:${remote_temp_path}/* .
    
    # 检查scp命令的返回值
    if [[ "$?" -ne 0 ]]; then
        echo "文件复制失败，请检查远程服务器上的路径和文件名。"
        return 1
    fi

    # 清空远程服务器中的临时目录
    ssh -i ~/.ssh/id_rsa ${remote_server} "rm -rf ${remote_temp_path}/*"

    echo "文件已成功下载到本地并清理了临时文件夹。"
}


free_time_run() {
#监测到空闲的gpu后进行任务
  while true; do
    for gpu_id in $(nvidia-smi --query-gpu=index --format=csv,noheader,nounits); do
      mem_used=$(nvidia-smi --id=$gpu_id --query-gpu=memory.used --format=csv,noheader,nounits)
      if [ $mem_used -lt 200 ]; then
          export CUDA_VISIBLE_DEVICES=$gpu_id
          echo "Running task on GPU $gpu_id"
          eval $1
          break 2
      fi
      done
      echo "No free GPU found, waiting..."
      sleep 60
  done
  date '+%Y-%m-%d %H:%M:%S' >> run_train-file.log
  echo -e "执行 $1 \n" >> run_train-file.log    
}

search_large_files() {
# 搜索当前目录下所有大于20GB的文件
    find $1 -type f -size +20G
}
nohup_free_time_run(){
#该函数将任务放到后台运行，并监测到空闲的gpu后进行任务
#新增加的函数，等待检验中（）
    nohup free_time_run "$1" 2>&1 &
}

relib() {
# rebreath库的管理员   
#示例使用方式 relib -v -m hp pre sh

    lib="$HOME/.rebreath"
    view=0
    multi=0
    args=()

    # 处理参数
    while [ $# -gt 0 ]; do
        case "$1" in
            -v)
                view=1
                ;;
            -m)
                multi=1
                ;;
            *)
                args+=("$1")
                ;;
        esac
        shift
    done

    # 检查是否有实际的查找关键词
    if [ ${#args[@]} -eq 0 ]; then
        echo "请注意提供至少一个查找关键词。"
        exit 521
    fi

    # 用于存储中间结果的文件
    tmpfile=$(mktemp)

    # 初始查找
    find "$lib" -type f -name "*${args[0]}*" > "$tmpfile"

    # 逐层次查找
    for keyword in "${args[@]:1}"; do
        new_tmpfile=$(mktemp)
        while IFS= read -r line; do
            find "$line" -type f -name "*$keyword*" >> "$new_tmpfile"
        done < "$tmpfile"
        mv "$new_tmpfile" "$tmpfile"
    done

    # 执行查找和相应操作
    if [ $view -eq 1 ]; then
        cat "$tmpfile"
    else
        while IFS= read -r line; do
            cp "$line" ./
        done < "$tmpfile"
    fi

    # 移除临时文件
    rm -f "$tmpfile"
}


#+++++++++++++++++++++++++++文件操作相关工具+++++++++++++++++++++++
recc(){
#创建一个临时的文件来保存指定文件的地址，方便后续对其进行操作
    cc_tmpfile="/tmp/cc_fzmrkwjsbzz_pointer"
    for i in "$@"; do
        local fileaddress=$(realpath "$i")
        echo "$fileaddress" >> "$cc_tmpfile"
        echo "文件 $fileaddress 已加入记忆 ……"
    done
}

reclean(){
#清空记忆的临时文件
    if [ -f "$cc_tmpfile" ]; then
        > "$cc_tmpfile"
        echo "记忆已清空！"
}

revv(){
    # 粘贴之前的所有记录下的文件，并且将其复制到当前的文件夹中
    local vv_dir=${1:-.}
    if [ -f "$cc_tmpfile" ]; then
        cat "$cc_tmpfile" | xargs -I {} cp -t "$vv_dir" {}
    else
        echo "临时文件 $cc_tmpfile 不存在，请先运行 recc 命令。"
    fi
}

function wslcd() {
#检查是否有windows路径，如果有就转换为wsl-linux路径
    local wsl_dir=$1
    if [[ $wsl_dir =~ ^([a-zA-Z]):(.*)$ ]]; then
        local drive=$(echo ${BASH_REMATCH[1]} | tr '[:upper:]' '[:lower:]')
        local path=${BASH_REMATCH[2]}
        path=$(echo $path | sed 's|\\|/|g')
        local wsl_path="/mnt/${drive}${path}"
        echo "转换后的wsl路径为：$wsl_path"
        cd  -- "$wsl_path"
    else
        cd  -- "$wsl_dir"
    fi
}

winpath(){
#将windows路径转换为linux路径
    local wsl_dir=$1
    if [[ $wsl_dir =~ ^([a-zA-Z]):(.*)$ ]]; then
        local drive=$(echo ${BASH_REMATCH[1]} | tr '[:upper:]' '[:lower:]')
        local path=${BASH_REMATCH[2]}
        path=$(echo $path | sed 's|\\|/|g')
        local wsl_path="/mnt/${drive}${path}"
        echo "转换后的wsl路径为：$wsl_path"
fi
}

#+++++++++++++++++++++++++++数学计算相关工具++++++++++++++++++++++++++

pow(){
#计算幂次方
    local base=$1
    local exp=$2
    echo $((base**exp))
}

calc_time(){
#计算运行时间
    local start_time=$(date +%s%3N)
    eval "$@"
    local end_time=$(date +%s%3N)

    local time_diff=$((end_time-start_time))
    echo "运行时间为： $time_diff 毫秒"
}

echo "NebulaFlow library loaded" 'O.<'

#-----------------------------模板-----------------------------------


compute_high_of_tree() {
# 创建一个临时文件夹来保存生成的文件
    local tmpdir=$(mktemp -d -t high_of_tree-XXXXXX)
    
    # 使用指定的临时文件夹
    pushd "$tmpdir"
    
    # 使用shell调用c++的模板
    cat > high_of_tree.cpp <<EOF
    #include <iostream>
    #include <cmath>
    #include <numbers>

    using namespace std;

    void high_of_tree(){
        const double pi  {std::numbers::pi};
        double high {};
        double h {};
        double d {};
        double angle {};
        cout << "计算树的高度" << endl;
        cout << "please enter h ,d ,angle：";
        
        cin >> h >> d >> angle;
        cout << "h = " << h << "  d = " << d << "  angle = " << angle << endl;
        cout << "树的高度是" << h + d * std::tan(angle * pi / 180) << endl;
    }

    int main(){
        high_of_tree();
        return 0;
    }
EOF

# 编译C++代码
g++ -std=c++20 high_of_tree.cpp -o high_of_tree

# 运行程序
./high_of_tree

# 从临时文件夹中返回到原始目录
popd

# 删除临时文件夹及其内容
rm -rf "$tmpdir"
}


#-----------------------------玩具-----------------------------------------------

gpt9() {
    # 开启智能对话
    echo "hallo, 我是gpt9, 你好"
    while true; do
        echo -en "\e[33m$USER: \e[0m"
        read -r line
        case "$line" in
            exit|Exit|EXIT)
                echo "gpt9：再见！"
                break
                ;;
            *)
                processed_line=$(echo "$line" | sed -e 's/吗//g; s/you//g; s/?/!/g; s/^你/我/g; s/我/你/g; s/吧//g; s/？/！/g')
                echo -e "\e[32mgpt9：\e[0m $processed_line\n"
                ;;
        esac
    done
}

mycat(){
# Ai时代,沸腾期待
     echo "喵喵喵?(被迫营业的叫声)"
     while true; do
         echo -en "\e[33m$USER: \e[0m"
         read -r line
         if [[ "$line" == "exit" ]]; then
             echo "(o^‥^)o mew！(不舍的叫声)"
             break
         fi

        emojis=('◟[˳_˳]ʌ˽ʌ' '(=♡ ᆺ ♡=)' '=＾• ⋏ •＾=' '̳ ៱˳_˳៱ ̳ ∫' '＾⌤＾' '[^._.^]ﾉ彡' '/ᐠ｡ꞈ｡ᐟ\' '/ᐠ｡ꞈ｡ᐟ✿\' '✧/ᐠ-ꞈ-ᐟ\' '/ᐠ𝅒 ‸ 𝅒ᐟ\ﾉ' '—ฅ/ᐠ. ̫ .ᐟ\ฅ —' '/ᐠ_ ꞈ _ᐟ\ɴʏᴀ~' 'ฅ^•ﻌ•^ฅ' '(ฅ^･ω･^ ฅ)' '(´ฅω•ฅ｀)' '~(=^‥^)ﾉ◎～')

        random_emoji=${emojis[$RANDOM % ${#emojis[@]} ]}
         random_number=$(shuf -i 1-4 -n 1)
         processed_line=$(printf "%0.s喵" $(seq 1 $random_number))
         echo -e "\e[32m${random_emoji}：\e[0m $processed_line\n"

     done
}