Snippets Collections
Supported languages
This is the list of all 297 languages currently supported by Prism, with their corresponding alias, to use in place of xxxx in the language-xxxx (or lang-xxxx) class:

Markup - markup, html, xml, svg, mathml, ssml, atom, rss
CSS - css
C-like - clike
JavaScript - javascript, js
ABAP - abap
ABNF - abnf
ActionScript - actionscript
Ada - ada
Agda - agda
AL - al
ANTLR4 - antlr4, g4
Apache Configuration - apacheconf
Apex - apex
APL - apl
AppleScript - applescript
AQL - aql
Arduino - arduino, ino
ARFF - arff
ARM Assembly - armasm, arm-asm
Arturo - arturo, art
AsciiDoc - asciidoc, adoc
ASP.NET (C#) - aspnet
6502 Assembly - asm6502
Atmel AVR Assembly - asmatmel
AutoHotkey - autohotkey
AutoIt - autoit
AviSynth - avisynth, avs
Avro IDL - avro-idl, avdl
AWK - awk, gawk
Bash - bash, sh, shell
BASIC - basic
Batch - batch
BBcode - bbcode, shortcode
BBj - bbj
Bicep - bicep
Birb - birb
Bison - bison
BNF - bnf, rbnf
BQN - bqn
Brainfuck - brainfuck
BrightScript - brightscript
Bro - bro
BSL (1C:Enterprise) - bsl, oscript
C - c
C# - csharp, cs, dotnet
C++ - cpp
CFScript - cfscript, cfc
ChaiScript - chaiscript
CIL - cil
Cilk/C - cilkc, cilk-c
Cilk/C++ - cilkcpp, cilk-cpp, cilk
Clojure - clojure
CMake - cmake
COBOL - cobol
CoffeeScript - coffeescript, coffee
Concurnas - concurnas, conc
Content-Security-Policy - csp
Cooklang - cooklang
Coq - coq
Crystal - crystal
CSS Extras - css-extras
CSV - csv
CUE - cue
Cypher - cypher
D - d
Dart - dart
DataWeave - dataweave
DAX - dax
Dhall - dhall
Diff - diff
Django/Jinja2 - django, jinja2
DNS zone file - dns-zone-file, dns-zone
Docker - docker, dockerfile
DOT (Graphviz) - dot, gv
EBNF - ebnf
EditorConfig - editorconfig
Eiffel - eiffel
EJS - ejs, eta
Elixir - elixir
Elm - elm
Embedded Lua templating - etlua
ERB - erb
Erlang - erlang
Excel Formula - excel-formula, xlsx, xls
F# - fsharp
Factor - factor
False - false
Firestore security rules - firestore-security-rules
Flow - flow
Fortran - fortran
FreeMarker Template Language - ftl
GameMaker Language - gml, gamemakerlanguage
GAP (CAS) - gap
G-code - gcode
GDScript - gdscript
GEDCOM - gedcom
gettext - gettext, po
Gherkin - gherkin
Git - git
GLSL - glsl
GN - gn, gni
GNU Linker Script - linker-script, ld
Go - go
Go module - go-module, go-mod
Gradle - gradle
GraphQL - graphql
Groovy - groovy
Haml - haml
Handlebars - handlebars, hbs, mustache
Haskell - haskell, hs
Haxe - haxe
HCL - hcl
HLSL - hlsl
Hoon - hoon
HTTP - http
HTTP Public-Key-Pins - hpkp
HTTP Strict-Transport-Security - hsts
IchigoJam - ichigojam
Icon - icon
ICU Message Format - icu-message-format
Idris - idris, idr
.ignore - ignore, gitignore, hgignore, npmignore
Inform 7 - inform7
Ini - ini
Io - io
J - j
Java - java
JavaDoc - javadoc
JavaDoc-like - javadoclike
Java stack trace - javastacktrace
Jexl - jexl
Jolie - jolie
JQ - jq
JSDoc - jsdoc
JS Extras - js-extras
JSON - json, webmanifest
JSON5 - json5
JSONP - jsonp
JS stack trace - jsstacktrace
JS Templates - js-templates
Julia - julia
Keepalived Configure - keepalived
Keyman - keyman
Kotlin - kotlin, kt, kts
KuMir (КуМир) - kumir, kum
Kusto - kusto
LaTeX - latex, tex, context
Latte - latte
Less - less
LilyPond - lilypond, ly
Liquid - liquid
Lisp - lisp, emacs, elisp, emacs-lisp
LiveScript - livescript
LLVM IR - llvm
Log file - log
LOLCODE - lolcode
Lua - lua
Magma (CAS) - magma
Makefile - makefile
Markdown - markdown, md
Markup templating - markup-templating
Mata - mata
MATLAB - matlab
MAXScript - maxscript
MEL - mel
Mermaid - mermaid
METAFONT - metafont
Mizar - mizar
MongoDB - mongodb
Monkey - monkey
MoonScript - moonscript, moon
N1QL - n1ql
N4JS - n4js, n4jsd
Nand To Tetris HDL - nand2tetris-hdl
Naninovel Script - naniscript, nani
NASM - nasm
NEON - neon
Nevod - nevod
nginx - nginx
Nim - nim
Nix - nix
NSIS - nsis
Objective-C - objectivec, objc
OCaml - ocaml
Odin - odin
OpenCL - opencl
OpenQasm - openqasm, qasm
Oz - oz
PARI/GP - parigp
Parser - parser
Pascal - pascal, objectpascal
Pascaligo - pascaligo
PATROL Scripting Language - psl
PC-Axis - pcaxis, px
PeopleCode - peoplecode, pcode
Perl - perl
PHP - php
PHPDoc - phpdoc
PHP Extras - php-extras
PlantUML - plant-uml, plantuml
PL/SQL - plsql
PowerQuery - powerquery, pq, mscript
PowerShell - powershell
Processing - processing
Prolog - prolog
PromQL - promql
.properties - properties
Protocol Buffers - protobuf
Pug - pug
Puppet - puppet
Pure - pure
PureBasic - purebasic, pbfasm
PureScript - purescript, purs
Python - python, py
Q# - qsharp, qs
Q (kdb+ database) - q
QML - qml
Qore - qore
R - r
Racket - racket, rkt
Razor C# - cshtml, razor
React JSX - jsx
React TSX - tsx
Reason - reason
Regex - regex
Rego - rego
Ren'py - renpy, rpy
ReScript - rescript, res
reST (reStructuredText) - rest
Rip - rip
Roboconf - roboconf
Robot Framework - robotframework, robot
Ruby - ruby, rb
Rust - rust
SAS - sas
Sass (Sass) - sass
Sass (SCSS) - scss
Scala - scala
Scheme - scheme
Shell session - shell-session, sh-session, shellsession
Smali - smali
Smalltalk - smalltalk
Smarty - smarty
SML - sml, smlnj
Solidity (Ethereum) - solidity, sol
Solution file - solution-file, sln
Soy (Closure Template) - soy
SPARQL - sparql, rq
Splunk SPL - splunk-spl
SQF: Status Quo Function (Arma 3) - sqf
SQL - sql
Squirrel - squirrel
Stan - stan
Stata Ado - stata
Structured Text (IEC 61131-3) - iecst
Stylus - stylus
SuperCollider - supercollider, sclang
Swift - swift
Systemd configuration file - systemd
T4 templating - t4-templating
T4 Text Templates (C#) - t4-cs, t4
T4 Text Templates (VB) - t4-vb
TAP - tap
Tcl - tcl
Template Toolkit 2 - tt2
Textile - textile
TOML - toml
Tremor - tremor, trickle, troy
Turtle - turtle, trig
Twig - twig
TypeScript - typescript, ts
TypoScript - typoscript, tsconfig
UnrealScript - unrealscript, uscript, uc
UO Razor Script - uorazor
URI - uri, url
V - v
Vala - vala
VB.Net - vbnet
Velocity - velocity
Verilog - verilog
VHDL - vhdl
vim - vim
Visual Basic - visual-basic, vb, vba
WarpScript - warpscript
WebAssembly - wasm
Web IDL - web-idl, webidl
WGSL - wgsl
Wiki markup - wiki
Wolfram language - wolfram, mathematica, nb, wl
Wren - wren
Xeora - xeora, xeoracube
XML doc (.net) - xml-doc
Xojo (REALbasic) - xojo
XQuery - xquery
YAML - yaml, yml
YANG - yang
Zig - zig
Text:
*Hello* = Italic
**Hello** = Bold
***Hello*** = Bold-Italic
__Hello__ = Underline

# = Header 1/3
## = Header 2/3
### = Header 3/3

code blocks:
```python (or any other language!)
your code here```


Links:
[Text You want to show](Link goes here)

Show Image From Link:
![alt text](image link)
# Header 1
## Header 2
### Header 3
#### Header 4 ####
##### Header 5 #####
###### Header 6 ######
<a href="example.com" target="_blank">New Tab</a>
 [![The CORRECT Way to Write a Book with ChatGPT - Do This NOW](https://res.cloudinary.com/marcomontalbano/image/upload/v1685646401/video_to_markdown/images/youtube--dGyU8gDSKmw-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://www.youtube.com/watch?v=dGyU8gDSKmw "The CORRECT Way to Write a Book with ChatGPT - Do This NOW")
#devise.rb  change
config.sign_out_via = :get

<%= link_to destroy_user_session_path, data: { turbo_method: :delete } %>
  
  <%= f.submit "Sign up", data: {turbo: false} %>
    
import express from 'express';
import {middleWares, formBadRequest} from 'nodejs-express-utils';
const app = express();

app.post(
    '/',
	middleWares.inputJoi(extendedJoi.object({
      id: joi.number().required(),
	  name: joi.string().optional(),
    })),
  	
    // data is the validated data returned from the inputJoi middleware
    middleWares.handleResponse((data) => {
		const {id, name} = data;
      	
      	if(!name) {
           return formBadRequest('missing-name');
        }
      	
      	
      	return {data: {}};
    }),
);
import express from 'express';
import {middleWares} from 'nodejs-express-utils';
const app = express();

app.get(
    '/',
    middleWares.handleResponse(() => {
        // your code here
    }),
);
import express from 'express';
import {middleWares, extendedJoi} from 'nodejs-express-utils';
const app = express();

app.get('/', middleWares.inputJoi(extendedJoi.object({})));
import express from 'express';
import {middleWares} from 'nodejs-express-utils';
const app = express();

app.use(middleWares.xssFilter());
import database from '../core/database';

const query = 'DELETE FROM contactUs WHERE timestamp=:timestamp';
const params = {timestamp: 1632049210};

database
    .executeQuery(query, params)
    .then((res) => console.log('res', res))
    .catch((err) => console.error('err', err));
import {MasterTableType, JoinedTablesType} from 'nodejs-express-utils';
import database from '../core/database';
import ContactUs from '../models/ContactUs';
import Person from '../models/Person';

const masterTable: MasterTableType = {
    table: ContactUs,
    tableAlias: 'c',
    columnsAlias: {userUid: 'uid'},
    reqColumns: ['id', 'userUid', 'subject'],
};

const tables: JoinedTablesType = [
    {
        table: Person,
        tableAlias: 'p',
        joinType: JOIN_TYPES.LEFT_OUTER,
        joinCondition: 'p.uid=c.userUid',
    },
];


const extraQuery = 'WHERE timestamp=:timestamp';
const params = {timestamp: 1632049210};

const customFields = ['COUNT(P.postId) AS COUNT']

database
    .executeJoin(masterTable, tables, extraQuery, params, customFields)
    .then((res) => console.log('res', res))
    .catch((err) => console.error('err', err));
import {DataTypes} from 'nodejs-express-utils';
import ContactUs from '../models/ContactUs';

// Get data from the database
const extraQuery = 'WHERE timestamp=:timestamp';
const params = {timestamp: 1631318513};
const fields = ['id', 'body'];

ContactUs.get(extraQuery, params, fields)
    .then((res) => console.log(res))
    .catch((err) => console.error(err));
import {DataTypes} from 'nodejs-express-utils';
import ContactUs from '../models/ContactUs';

const extraQuery = 'WHERE timestamp=:timestamp';
const params = {timestamp: 1631318513};

// Update data
const data = {subject: 'Issue 12134'};
ContactUs.update(data, extraQuery, params)
    .then((res) => console.log(res))
    .catch((err) => console.error(err));
import {DataTypes} from 'nodejs-express-utils';
import ContactUs from '../models/ContactUs';

// Insert data into the database
ContactUs.create({
    status: 'Pending',
    body: 'Issue',
})
    .then((res) => console.log(res))
    .catch((err) => console.error(err));
import {DataTypes} from 'nodejs-express-utils';
import database from '../core/database';

export type ContactUsType = {
    id?: number;
    body: string;
    status?: string;
};
const tableName = 'contactUs';

export default database.init<ContactUsType>(tableName, {
    id: {
        type: DataTypes.UNSIGNED,
        isEncrypted: false,
        isRequired: false,
    },
    body: {
        type: DataTypes.CHAR,
        isEncrypted: true,
        isRequired: true,
    },
    status: {
        type: DataTypes.CHAR,
        isEncrypted: false,
        isRequired: false,
    },
});
import {MySQL, MySQLConfig} from 'nodejs-express-utils';

// the key that is used for the encryption and decryption the database
const encryptionKey = '';

// Your MySQL server credentials used initialize the connection
const config: MySQLConfig = {
    host: '',
    user: '',
    password: '',
    database: '',
};
const database = new MySQL(config, encryptionKey);

export default database;
// Common.js
const {DataTypes, MySQL, extendedJoi, formBadRequest, middleWares, JOIN_TYPES} = require('nodejs-express-utils');

// Module
import {DataTypes, MySQL, extendedJoi, formBadRequest, middleWares, JOIN_TYPES} from 'nodejs-express-utils';
# configuration file for git-cliff

[changelog]
header = """
# Changelog
*All notable changes to this project will be documented in this file.*\n
"""
body = """
{% if version %}\
    ## [{{ version | trim_start_matches(pat="v") }}] - {{ timestamp | date(format="%Y-%m-%d") }}
{% else %}\
    ## [Unreleased]
{% endif %}\
{% for group, commits in commits | group_by(attribute="group") %}
    ### {{ group | upper_first }}
    {% for commit in commits %}
        - {% if commit.breaking %}[**breaking**] {% endif %}{{ commit.message | upper_first }}\
    {% endfor %}
{% endfor %}\n
"""
trim = true
footer = """
***
*Changelog generated by [git-cliff](https://github.com/orhun/git-cliff).*
"""
[git]
conventional_commits = true
filter_unconventional = true
commit_parsers = [
    { message = "^feat", group = "Features"},
    { message = "^fix", group = "Bug Fixes"},
    { message = "^bug", group = "Bug Fixes"},
    { message = "^doc", group = "Documentation"},
    { message = "^perf", group = "Performance"},
    { message = "^app", group = "Shiny App"},
    { message = "^api", group = "API"},
    { message = "^data", group = "Data"},
    { message = "^db", group = "Database"},
    { message = "^refactor", group = "Refactor"},
    { message = "^style", group = "Styling"},
    { message = "^test", group = "Testing"},
    { message = "^chore\\(release\\): prepare for", skip = true},
    { message = "^chore", group = "Miscellaneous Tasks"},
    { body = ".*security", group = "Security"},
]
filter_commits = false
tag_pattern = "v[0-9]*"
skip_tags = "v0.1.0-beta.1"
ignore_tags = ""
topo_order = false
sort_commits = "oldest"
<h1 style="text-align: center; font-family: Verdana; font-size: 32px; font-style: normal; font-weight: bold; text-decoration: none; text-transform: none; font-variant: small-caps; letter-spacing: 3px; color: #468282; background-color: #ffffff;">Tensorflow - Help Protect the Great Barrier Reef</h1>
<h2 style="text-align: center; font-family: Verdana; font-size: 24px; font-style: normal; font-weight: bold; text-decoration: underline; text-transform: none; letter-spacing: 2px; color: navy; background-color: #ffffff;">Look-sea: Underwater img enhancement</h2>


<p align="center">
    <img src="https://i.imgur.com/tTOe7cV.png">
</p>


# 📌**Introduction:**
<!-- <h1 style="font-family: times-new-roman">📌Introduction</h1> -->
> <p style="font-family: times-new-roman">Seems like <b>Patrick</b> the Star is lost, and <b>Spongebob, Mr. Krabs, Squidward, and the others</b> need our help to find him. To help them out <b>Kaggle</b> is also trying their best and has put together a very informative dataset the dataset is created based on the places where Patrick most certainly be going, and we need to take the help of AI and computer vision and perform Object detection to find him from that dataset. We still don't know whether Patrick is lost or has left the city because of the last night's argument between him and Spongebob. Well, this will stay as a mystery until we find Patrik. Spongebob, Mr. Krabs, Squidward, and Sandy are all very concerned and doing their best to find Patrick. So let's do our best too, and get Patrick back to his friends.</p>

# 📑 **About the Notebook:**
> <p style="font-family: times-new-roman">As per the Discussion thread I posted earlier, I said that I will post the results. So, to do that Im creating this NB. The discussion thred is listed just right below. After playing with data for a bit it was clear that the images were extreamly hezzy because of the thickness of the water, and most of the data are colored in greenish blue. After seeing a Disussion thread on this, I started searching some techniques for underwater image enhancement. After sometime, I stumbled upon this repo which talks about some techiques for Underwater color restoration and color enhancement, there were total 8 methods for image color Enhancement.Don't know how important Color Restoration would be [please let me know if you think color restoration is also important] but Image Enhancement would be very much required. The mentioned techniques are,</p>

> - [8 Methods on Underwater Image Enhancement and Color Restoration, With Code](https://www.kaggle.com/c/tensorflow-great-barrier-reef/discussion/291063)

> ## ⭕ **Underwater Image Enhancement**
> > - **CLAHE**: Contrast limited adaptive histogram equalization (1994)
> > - **Fusion-Matlab**: Enhancing underwater images and videos by fusion (2012)
> > - **GC**: Gamma Correction
> > - **HE**: Image enhancement by histogram transformation (2011)
> > - **ICM**: Underwater Image Enhancement Using an Integrated Colour Model (2007)
> > - **UCM**: Enhancing the low-quality images using Unsupervised Colour Correction Method (2010)
> > - **RayleighDistribution**: Underwater image quality enhancement through composition of dual-intensity images and Rayleigh-stretching (2014)
> > - **RGHS**: Shallow-Water Image Enhancement Using Relative Global Histogram Stretching Based on Adaptive Parameter Acquisition (2018)




> > <p style="font-family: times-new-roman"> From these 8 methods I was able to perform, 4 and 3 of them are implemented in two different ways, one is done using the repo's code and the other is implemetnted by me. Results are good but not too good. Because there are papers like <b>sea-thru</b>, <b>FUnIE-GAN</b> and <b>Water-GAN</b> which yields much better results. Check about the GANs <a style="font-family: times-new-roman" href="https://github.com/xahidbuffon/FUnIE-GAN">here</a></p>

> ## 👀 **Sea-thru**:
> > <p style="font-family: times-new-roman">This is a great paper, not only because of its good results, also the way the problem is tackled. Most of the time people ends up training large model with a huge pile of data for days to get a decent result. but this paper tries to break down the problem to its core components and solves it. This paper has a extensive use of depth map. Itried to find the trained wights but it seems like its not available. the main concept this paper goes like this,</p>

> > - <p style="font-family: times-new-roman"><b><i>As a result of their research, Akkaynak and Treibitz contend that wavelengths of observed colors depend on speed, distance, and the original color of objects. As with the speed of light through water, the source hue is constant. In this case, if we know the color of an object and its distance from us, we can reverse-engineer the formula that produces the observed color.</i></b></p>


> > To know more check out these two links,
> > - Article: [Sea-Thru: Removing Water from Underwater Images](https://towardsdatascience.com/sea-thru-removing-water-from-underwater-images-935288e13f7d)
> >- Paper: [Sea-Thru: A Method for Removing Water From Underwater Images](https://openaccess.thecvf.com/content_CVPR_2019/html/Akkaynak_Sea-Thru_A_Method_for_Removing_Water_From_Underwater_Images_CVPR_2019_paper.html)
> > - Github: https://github.com/hainh/sea-thru
> > - Dataset: http://csms.haifa.ac.il/profiles/tTreibitz/datasets/sea_thru/index.html

> > <p align="center">
    <img width="600" src="https://i.postimg.cc/6qpZCTFK/sea-thru3.jpg">
</p>



> ## 🧪 **Importance of image Pre-processing:**
> > <p style="font-family: times-new-roman"> Image preprocessing in one of the most important part of a Model building pipeline. It helps to improve the quality of your image, we apply different kind of filters and methods to enhance sertain aspect of the image, may be the given image is very blurry, or may be the image in very noisy, or maybe the image size across the data is not similar, or may be the labeled data is not accurate etc. In these cases we need to use Image preprocessing to clean the data. In some cases it also helps by decreasing model training time and increasing model inference speed. One of the incredible image preprocessing that I saw, was the hair removal in the Melanoma Classification comp. </p>

> ## 🎁 **Main aim of this Notebook:**
> > - <p style="font-family: times-new-roman"> I tried doing EDA for the provided dataset. I plan to dig much dipper and understand the data in a much better way.</p>
> > - <p style="font-family: times-new-roman"> I tried different approaches to get a decent preprocessed image as mentioned above. The best preprocessed Images this Notebook offers are shown below. We will go through all the methods(except few) and then look into the working code. <b>This is certainly not my work, it is taken from <b><a href="https://www.kaggle.com/ipythonx">@M.Innat's</a></b> comment from</p></b>

> > > <li> <a href="https://www.kaggle.com/c/tensorflow-great-barrier-reef/discussion/290584#1599835">Fast underwater image enhancement for Improved Visual Perception [github+Paper]</a></li>

> > > <p align="center">
    <img src="https://i.imgur.com/wc9rY2J.png">
</p>

> > > <p align="center">
    <img src="https://i.imgur.com/ho1D0Ye.png">
</p>

> > > <p align="center">
    <img src="https://i.imgur.com/pwBNYJr.png">
</p>
<div style="background-color:rgb(250,250,250); padding:30px;box-shadow:0 1px 1px rgba(0, 0, 0, 0.2);">
    <p style="font-family:Helvetica;font-size:15px;font-weight:bold">
       Text....
    </p>
</div>
<div style="background-color:#1abc9c; padding:1px 20px 20px 20px; border-radius:5px;box-shadow: rgba(0, 0, 0, 0.25) 0px 0.0625em 0.0625em, rgba(0, 0, 0, 0.25) 0px 0.125em 0.5em, rgba(255, 255, 255, 0.1) 0px 0px 0px 1px inset;">
    <h1 style="font-family: 'Lato', sans-serif;color:white;padding-left:10px;font-size:50px">
        Heading
    </h1>
</div>

<div class="alert alert-block alert-info" style="border-radius:8px; box-shadow: rgba(0, 0, 0, 0.1) 0px 1px 3px 0px, rgba(0, 0, 0, 0.06) 0px 1px 2px 0px;">
    <b>&#9432; Note<br /></b> Use blue boxes (alert-info) for tips and notes.
    If it’s a note, you don’t have to include the word “Note”.
</div>
<div class="alert alert-block alert-warning" style="border-radius:8px; box-shadow: rgba(0, 0, 0, 0.1) 0px 1px 3px 0px, rgba(0, 0, 0, 0.06) 0px 1px 2px 0px;">
    <b>!&#x20DD; Important<br /></b> Use yellow boxes if you to underline important things.
</div>
<div class="alert alert-block alert-danger" style="border-radius:8px; box-shadow: rgba(0, 0, 0, 0.1) 0px 1px 3px 0px, rgba(0, 0, 0, 0.06) 0px 1px 2px 0px;">
    <b>&#9888; Warning<br /></b> In general, avoid the red boxes. These should only be
    used for actions that might cause data loss or another major issue.
</div>
<div class="alert alert-block alert-success" style="border-radius:8px; box-shadow: rgba(0, 0, 0, 0.1) 0px 1px 3px 0px, rgba(0, 0, 0, 0.06) 0px 1px 2px 0px;">
    <b>&#10149; See also<br /></b> Use green boxes to link to other documentation sources.
</div>
```mermaid
%% 语法示例
        gantt
        dateFormat  YYYY-MM-DD
        title 软件开发甘特图
        section 设计
        需求                      :done,    des1, 2014-01-06,2014-01-08
        原型                      :active,  des2, 2014-01-09, 3d
        UI设计                     :         des3, after des2, 5d
    未来任务                     :         des4, after des3, 5d
        section 开发
        学习准备理解需求                      :crit, done, 2014-01-06,24h
        设计框架                             :crit, done, after des2, 2d
        开发                                 :crit, active, 3d
        未来任务                              :crit, 5d
        耍                                   :2d
        section 测试
        功能测试                              :active, a1, after des3, 3d
        压力测试                               :after a1  , 20h
        测试报告                               : 48h
```
```mermaid
%% 时序图例子,-> 直线,-->虚线,->>实线箭头
  sequenceDiagram
    participant 张三
    participant 李四
    张三->王五: 王五你好吗?
    loop 健康检查
        王五->王五: 与疾病战斗
    end
    Note right of 王五: 合理 食物 <br/>看医生...
    李四-->>张三: 很好!
    王五->李四: 你怎么样?
    李四-->王五: 很好!
```
```sequence
Title: 标题:复杂使用
对象A->对象B: 对象B你好吗?(请求)
Note right of 对象B: 对象B的描述
Note left of 对象A: 对象A的描述(提示)
对象B-->对象A: 我很好(响应)
对象B->小三: 你好吗
小三-->>对象A: 对象B找我了
对象A->对象B: 你真的好吗?
Note over 小三,对象B: 我们是朋友
participant C
Note right of C: 没人陪我玩
```
```sequence
对象A->对象B: 对象B你好吗?(请求)
Note right of 对象B: 对象B的描述
Note left of 对象A: 对象A的描述(提示)
对象B-->对象A: 我很好(响应)
对象A->对象B: 你真的好吗?
```
```flow
st=>start: 开始框
op=>operation: 处理框
cond=>condition: 判断框(是或否?)
sub1=>subroutine: 子流程
io=>inputoutput: 输入输出框
e=>end: 结束框
st(right)->op(right)->cond
cond(yes)->io(bottom)->e
cond(no)->sub1(right)->op
```
```flow
st=>start: 开始框
op=>operation: 处理框
cond=>condition: 判断框(是或否?)
sub1=>subroutine: 子流程
io=>inputoutput: 输入输出框
e=>end: 结束框
st->op->cond
cond(yes)->io->e
cond(no)->sub1(right)->op
```
```mermaid
graph TD
A[方形] --> B(圆角)
    B --> C{条件a}
    C --> |a=1| D[结果1]
    C --> |a=2| E[结果2]
    F[竖向流程图]
```mermaid
graph LR
A[方形] -->B(圆角)
    B --> C{条件a}
    C -->|a=1| D[结果1]
    C -->|a=2| E[结果2]
    F[横向流程图]
```
[Airtable](https://airtable.com) is awesome.
[Link reference][1] also works.

[1]: https://daringfireball.net/projects/markdown/syntax#link
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