You can use this diagram as a template to create your own git branching diagrams. Here's how:
https://gist.githubusercontent.com/bryanbraun/8c93e154a93a08794291df1fcdce6918/raw/bf563eb36c3623bb9e7e1faae349c5da802f9fed/template-data.xml
| #!/usr/bin/env python | |
| # | |
| # Trac Wiki to Markdown converter | |
| # | |
| # Copyright(c) 2019 Keisuke MORI ([email protected]) | |
| # | |
| # This program is free software; you can redistribute it and/or | |
| # modify it under the terms of the GNU General Public License | |
| # as published by the Free Software Foundation; either version 2 | |
| # of the License, or (at your option) any later version. |
| /** | |
| * Retries a promise n no. of times before rejecting. | |
| */ | |
| async function retryPromise(promise, nthTry) { | |
| try { | |
| const res = await promise; | |
| return res; | |
| } catch (e) { | |
| if (nthTry === 1) { | |
| return Promise.reject(e); |
| from ib_insync import * | |
| import asyncio | |
| import nest_asyncio | |
| async def update_from_IB(stock): | |
| """ | |
| Asynchronous call example to update stocks from Interactive broker. | |
| Args: | |
| stock(str): Stock, I.e. AAPL |
| git log --author="Linus Torvalds" --date=iso | perl -nalE 'if (/^Date:\s+[\d-]{10}\s(\d{2})/) { say $1+0 }' | sort | uniq -c|perl -MList::Util=max -nalE '$h{$F[1]} = $F[0]; }{ $m = max values %h; foreach (0..23) { $h{$_} = 0 if not exists $h{$_} } foreach (sort {$a <=> $b } keys %h) { say sprintf "%02d - %4d %s", $_, $h{$_}, "*"x ($h{$_} / $m * 50); }' | |
| # warning: do not use the certificates produced by this tool in production. This is for testing purposes only | |
| # certificate authority | |
| openssl genrsa -out RootCA.key 4096 | |
| openssl req -new -x509 -days 1826 -extensions v3_ca -key RootCA.key -out RootCA.crt | |
| openssl pkcs8 -topk8 -inform PEM -outform PEM -nocrypt -in RootCA.key -out RootCA.key.pkcs8 | |
| # intermediate CA | |
| openssl genrsa -out IntermediateCA.key 4096 |
Hosting multiple websites on a single public IP address on the standard HTTP(S) ports is relatively easy with popular web servers like Apache, Nginx and lighttpd all supporting Virtual Hosts.
For Web Services which bundle their own HTTP server, things get more complicated, unless their HTTP stack can be shared somehow. More often than not, the application's HTTP stack listens directly on a dedicated TCP port.
Hosting multiple services on a single IP then requires using a fronting server listening on the standard HTTP port, and routing to the right backend service based on the host name or the path sent by the client.
Path based routing is cumbersome, usually requiring either the service to be aware of the path prefix, or a rewrite by the HTTP fronting server of all absolute URLs in the requests and responses.
Hostname based routing is more straightforward. The fronting server can just look at the [HTTP/1.1 Host header](https://tools
| """This module contains the ``SeleniumMiddleware`` scrapy middleware""" | |
| import asyncio | |
| from pyppeteer import launch | |
| from scrapy import signals | |
| from scrapy.http import HtmlResponse | |
| from twisted.internet import defer | |
| from .http import PuppeteerRequest |
| create database price_history_db | |
| CREATE CONTINUOUS QUERY "cq_1m" ON "price_history_db" BEGIN SELECT MIN(price) as low, MAX(price) as high, FIRST(price) as open, LAST(price) as close, SUM(size) as volume INTO "price_1m" FROM "trade" GROUP BY time(1m), symbol END | |
| CREATE CONTINUOUS QUERY "cq_5m" ON "price_history_db" BEGIN SELECT MIN(low) as low, MAX(high) as high, FIRST(open) as open, LAST(close) as close, SUM(volume) as volume INTO "price_5m" FROM "price_1m" GROUP BY time(5m), symbol END | |
| CREATE CONTINUOUS QUERY "cq_15m" ON "price_history_db" BEGIN SELECT MIN(low) as low, MAX(high) as high, FIRST(open) as open, LAST(close) as close, SUM(volume) as volume INTO "price_15m" FROM "price_5m" GROUP BY time(15m), symbol END | |
| CREATE CONTINUOUS QUERY "cq_1h" ON "price_history_db" BEGIN SELECT MIN(low) as low, MAX(high) as high, FIRST(open) as open, LAST(close) as close, SUM(volume) as volume INTO "price_1h" FROM "price_15m" GROUP BY time(1h), symbol END | |
| CREATE CONTINUOUS QUERY "cq_6h" ON "price_history_db" BEGIN SELECT |
| 搜狗双拼口诀 | |
| 搜狗双拼的规则 | |
| 双拼是用定义好的单字母代替较长的多字母韵母或声母来进行输入的一种方式。 | |
| 例如:如果 T=t, M=ian,键入两个字母 “TM” 就会输入拼音 “tian” 。 | |
| 使用双拼可以减少 击键次数,但是需要记忆字母对应的键位,但是熟练之后效率会有一定提高。 | |
| 如果 使用双拼,要在设置属性窗口把双拼选上即可。 | |
| 对于单韵母字,需要在前面输入字母 O+韵母。例如:输入 OA → A ,输入 OO → O , 输入 OE → E 。 | |
| 而在自然码双拼方案中,和自然码输入法的双拼方式一致,对于单韵 母字,需要输入双韵母,例如:输入 AA → A ,输入 OO → O ,输入 EE → E 。 |
