vcxsrv 载入配置文件

2020-05-14 22:10:54

vcxsrv每次通过xlauch打开时，都要用鼠标进行一系列点点点。如何能够一步到位？

只需要将快捷方式中加上参数 -run 即可。

1	`xlauch.exe -run pathofconfig`

如下图：

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金融杠杆支撑天价片酬

2020-05-10 19:19:12

天价片酬谁来买单？

V2ray 共享热点

2020-05-02 21:19:16

最近肺炎爆发, 虽然上班了但是因为公司要节省口罩, 所以大部分时间都在家里待岗, 正好电脑上已经不再用ss, ssr也准备不用了 (越来越不稳定了) 于是尝试了一下共享V2Ray的局域网连接, 很快就成功了, 闲得无事写篇博客记录一下.
准备

电脑1台
安装好V2RayN
详细步骤
设置V2RayN
因为现在懒得自己弄, 所以随便找个机场, 拿到订阅链接后在V2RayN中更新节点并在设置中允许局域网连接, 同时留意一下本地监听端口, 如图显示是10808端口.

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打开移动热点
以win10系统为例, 在设置中打开移动热点:

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然后在网络适配器选项中, 查看已经开启的热点并获取ip地址:

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连接热点
首先在设置中查看已开启的代理的手动设置项, 可以看到端口为10809.

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在手机上连接热点, 并手动设置代理服务器ip以及端口, 从上面步骤可知分别为: 192.168.137.1和10809.

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到这里就大功告成了, 其他类似的共享到局域网的热点都是差不多的步骤, ssr的设置也一样.

Jupyter修改外观配置

2020-04-22 11:19:41

jupyter默认的宽度比较小，当将浏览器全屏的时候，仅有一半的页面宽度能够得以利用，画图的时候展示的范围比较小。为了解决这个问题，只需要在设置主题时修改配置即可。

1	`jt -t grade3 -cellw 90% -T`

jt为主题配置命令
-t grade3 为使用grade3主题
-cellw 90% 为设置单元格宽度为页面宽度的90%
-T 为显示工具栏。

效果如下图：

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备注：若使图片的宽度也变大，需要在设定TCanvas修改默认的宽度。

批量导入markdown文件为Hexo博客md文件

2020-04-11 23:26:56

相比于普通的markdown文件，hexo的markdown文件有文件头数据，用来设定标题，创建日期，类别等信息，有时候需要批量将普通markdown文件添加头部文件数据，可以通过以下脚本实现。

for file in */*
do
    name=`echo ${file%.*}`
    sed -i "1i\title: `echo ${name##*/}`" $file
    sed -i "2i\author: 远方" $file
    sed -i "3i\tags:" $file
    sed -i "4i\  - LeetCode" $file
    sed -i "5i\  - 算法" $file
    sed -i "6i\categories:" $file
    sed -i "7i\  - LeetCode破局攻略" $file
    sed -i "8i\date: 2016-01-01 19:20:00" $file
    sed -i "9i\---" $file
done

其中

1	name=`echo ${file%.*}`

截取.*前的字符串，表现为去后缀名，

1	sed -i "1i\title: `echo ${name##*/}`" $file

从左往右截取*/后的数据，##标识截取到最后一个满足条件的，表现为去除中间路径，保留文件名。

参考链接

Hexo忽略渲染某些文件

2020-04-10 10:07:10

hexo运行时会渲染source目录下所有文件，如果需要跳过某些文件，需要在hexo根目录下的_config.yml文件中修改配置：

1	`skip_render:`

为

1	`skip_render: "attachments/*"`

如果需要跳过某些文件（如html），可以更改为

1	`skip_render: "attachments/*.html"`

这里提一下渲染html与否的区别：

渲染会增加hexo启动的时常
渲染后html会内嵌入hexo框架中，成为其子界面
非渲染的html会跳转到html文件，和原来的html界面一样。

Hexo挂载本地文件

2020-04-10 09:47:46

在Hexosource目录下建立attachments目录，将本地文件拷贝到该目录下，然后通过链接的形式加载，如[file](attachments/file).

pdf测试文件
office测试文件
markdown测试文件
html和pdf文件可以直接在浏览器中打开。

markdown链接跳转

2020-04-10 08:51:32

此部分内容主要应用于在线markdown链接跳转，包括Hexo和jupyter，而离线本底的链接跳转比较简单，这部分跳过。

jupyter链接跳转

markdown的语法中，链接一般用[描述链接](链接地址)这种形式表示，图片可以理解为特殊的链接，语法为![图片描述](图片地址)。
加入两个jupyter在同一目录下，分别为1.ipynb和2.ipynb. 在2中引用1可以用相对链接的形式[描述1](1.ipynb)，反之也可以。另外，即使不在同一个目录，只要给出相对路径也可实现跳转。比较完整的表述可以加上全连接，但一般必要性不大，不便于迁移。比如需要把文件夹整个迁移到GitHub，使用相对链接的话，跳转依旧生效。
如果指定跳转到jupyter内部某个地方，则可以通过添加标签的形式来实现。在跳转的目的地处添加<a id=link>目的地</a>，在跳转的起点添加[起点](#link)，即可完整跳转链接操作。<a id=link>目的地</a>的目的在于生成一个名字为link的标签(任意名字，避免重名冲突即可)，[起点](#link)则直接引用该标签地址(在本文档内部，省略了链接地址，只有标签地址)。由此可以知道，地址栏#的含义为跳转到文档内部的标签。如果要在其他文档中跳转到该标签，只需要在地址栏后面加上#link即可，如[从2跳转到1的link所在处](1.ipynb#link)
#后面紧跟link不要加空格
此外，实际上jupyter内部在新建标题的时候(#一级标题 ##二级标题…)的时候，会自动在页面创建标签，如：

# 论文题目名字
## 第一章名字
### 第一节名字
### 第二节名字
## 第二章名字
...

通过[跳转到第一章第二节](pathof.ipynb#第二节名字)即可便捷实现跳转。
无论是几级标题，在引用时是等价的，都只需要一个#，再次强调#的含义是引用标签

Hexo 链接跳转

有时候需要在hexo博客中引用其他文章，此时需要处理链接的问题，和jupyter类似，需要考虑到Github平台后链接怎么处理。类似地，也可以采用相对链接的方式，但需要留意到此时引用的应该是发布后的html文件，而非原来的md文件。引用相对链接先打开目标链接，比如http://localhost:4000/2020/04/01/日程表/，删去http://localhost:4000，则/2020/04/01/日程表/为相对链接。
引用该相对链接即可实现本地和Github同步跳转。

sed跨行替换

2020-04-08 23:07:40

sed、awk、grep一般认为是对行操作，而实际上sed可以跨行操作。

sed -e '/替换起始字符串/!b;:a;/替换终止字符串/bb;$!{N;ba};:b;s/替换起始字符串.*中间包含的特定字符串，进行限制，可以为空.*替换终止字符串/替换后的字符串/' -i 操作的文件

需要留意，对于特殊字符需要进行转义。

sed -e表示执行后面的脚本
每一个分号表示一行命令
/替换起始字符串/!b;
:a;
/替换终止字符串/bb;
$!{N;ba};
:b;
s/替换起始字符串.\*中间包含的特定字符串，进行限制，可以为空.\*替换终止字符串/替换后的字符串/ 替换命令
-i 修改文件

Jupyter导出html无法显示图像

2020-04-08 13:41:20

此问题是由于root版本变更引起的。
在root v620更新日志中可以看到关于网络部分做了诸多变更。

Core Libraries

Speed-up startup, in particular in case of no or poor network accesibility, by avoiding a network access that was used as input to generate a globally unique ID for the current process.
This network access is replaced by a passive scan of the network interface. This reduces somewhat the uniqueness of the unique ID as the IP address is no longer guaranteed by the DNS server to be unique. Note that this was already the case when the network access (used to look up the hostname and its IP address) failed.
Language Bindings
Jupyter Notebook Integration
When starting Jupyter server with root --notebook arg1 arg2 …, extra arguments can be provided. All these arguments delivered as is to jupyter executable and can be used for configuration. Like server binding to specific host root --notebook --ip=hostname
Remove c.NotebookApp.ip = '*' from default jupyter config. One has to provide ip address for server binding using root --notebook --ip=<hostaddr> arguments
Now Jupyter Notebooks will use JSROOT provided with ROOT installation. This allows to use notebooks without internet connection (offline).
JavaScript ROOT
Provide monitoring capabilities for TGeoManager object. Now geomtry with some tracks can be displayed and updated in web browser, using THttpServer monitoring capability like histogram objects.
JSROOT graphics are now supported in the JupyterLab interface. They are activated in the same way as in the classic Jupyter, i.e. by typing at the beginning of a notebook cell:
1
%jsroon on
从上述变更中可以解释最近版本为什么突然jupyter无法正常显示图像了。
root官方为了解决弱网络连接下jupyter显示问题，把jupyter的js运行库放在了新版本root安装包中，运行jupyter时会自动调用这个js库。但是需要留意的是仅使用root –notebook这种方式启动jupyter才会生效！使用jupyter-notebook的方式启动并不会生效！！图依旧无法正常显示。而前面的博客Jupyter离线配置中已经提过，为了解决这个问题，在jupyter的配置文件中可以新增static路径来解决，解决了在jupyter运行时的绘图问题。
但这个问题也带来了其他的问题。其一是，无法自由地分享.ipynb和对应导出的.html。分享的文件在nbviewer中无法显示图像。猜测是root更新之后把原来的链接进行了替换。
为了做验证，新建了一个测试linux环境，编译安装了root v61902，发现问题和v620一致，下载v61802并安装jupyter环境，无需任何配置，输入jupyter-notebook即可正常显示图像和导出有图的html文件，nbviewer也可正常显示上传到github的.ipynb文件。显然，这个版本和最初用的版本一致，在弱网条件下无法正常显示。
把v620和v618导出的html文件做对比，我们把v620和v618分别定义为offline和online。两者对应的测试文件为offline.html和online.html. 点击链接即可查看.

需要留意，在本机localhost打开hexo时，online.html也无法正常画图，这是由于html挂在了localhost:4000服务上，js判断根据服务判断跳过了绘图。把该文件下载下来，用浏览器打开可以正常显示。
此问题已修复，Hexo跳过渲染html文件之后正常运行

用文件比对工具对比，发现两者的差异

offline

<script>
if (typeof require !== 'undefined') {
    // All requirements met (we are in jupyter notebooks or we loaded requirejs before).
    display_root_plot_1586256162911();
} else {
    // We are in jupyterlab, we need to insert requirejs and configure it.
    // Jupyterlab might be installed in a different base_url so we need to know it.
    try {
        var base_url = JSON.parse(document.getElementById('jupyter-config-data').innerHTML).baseUrl;
    } catch(_) {
        var base_url = '/';
    }
    // Try loading a local version of requirejs and fallback to cdn if not possible.
    requirejs_load(base_url + 'static/components/requirejs/require.js', requirejs_success(base_url), function(){
        requirejs_load('https://cdnjs.cloudflare.com/ajax/libs/require.js/2.2.0/require.min.js', requirejs_success(base_url), function(){
            document.getElementById("root_plot_1586256162911").innerHTML = "Failed to load requireJs";
        });
    });
}
function requirejs_load(src, on_load, on_error) {
    var script = document.createElement('script');
    script.src = src;
    script.onload = on_load;
    script.onerror = on_error;
    document.head.appendChild(script);
}
function requirejs_success(base_url) {
    return function() {
        require.config({
            baseUrl: base_url + 'static/'
        });
        display_root_plot_1586256162911();
    }
}
function display_root_plot_1586256162911() {
    require(['scripts/JSRootCore'],
        function(Core) {
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       Core.draw("root_plot_1", obj, "");
     }
 );
</script>

可以发现最显著的差异在这一部分

requirejs.config({
    paths: {
      'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',
    }
  });

在online部分，调用了root官网的JSRootCore库，而offline则试图从本地服务器寻找。在

if (typeof require !== 'undefined') {
    // All requirements met (we are in jupyter notebooks or we loaded requirejs before).
    display_root_plot_1586256162911();
}

中添加alert函数。alert会执行。意味着会直接执行require(['scripts/JSRootCore'],...)函数，相比于online，缺失的正是上面提到的从root官网加载js这一部分。
遵从最少修改原则，为了将导出的html正常显示图，只许将require(['scripts/JSRootCore'],更改为

requirejs.config({
     paths: {
       'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',
     }
   });
 require(['JSRootCore'],

即可.
在bash中执行

1	`sed -i "s/require(\['scripts\/JSRootCore'\],/requirejs.config({paths:{'JSRootCore':'https:\/\/root.cern.ch\/js\/notebook\/\/scripts\/JSRootCore',}});require(\['JSRootCore'\],/g" output.html`

output.html为v620导出的html. 由此即可实现导出的html正常绘图.
如果需要发布或共享ipynb文件,则需要额外删除其他部分。
为了方便起见，在bashrc中构造函数

py2html()
{
sed -i "s/require(\['scripts\/JSRootCore'\],/requirejs.config({paths:{'JSRootCore':'https:\/\/root.cern.ch\/js\/notebook\/\/scripts\/JSRootCore',}});require(\['JSRootCore'\],/g" $1
sed -i "s/\"if (typeof/bbbegin/g" $1
sed -i "s/\"    display_root_plot/eeend\"    display_root_plot/g" $1
sed -i "s/\"} else {/bbbegin/g" $1
sed -i "s/\"function display_root_plot/eeend\"function display_root_plot/g" $1
sed -e '/bbbegin/!b;:a;/eeend/bb;$!{N;ba};:b;s/bbbegin.*.*eeend//' -i $1
}

在bash中执行py2html *.ipynb或py2html *.html即可将其转化为有图的文件。
由于转义符号的问题，部分文件可能需要重命名方能正常转化.
此部分也可在py2html函数中用中间变量解决，这点回头再修正。

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