clojure on the beginning

本文介绍了Clojure编程语言的基础知识,包括如何开始学习、stdout输出字符串的方法、关键字求值及两种注释方式。

clojure 零基础


1.如何开始

如果安装了lein(brew install leiningen ),在terminal中输入‘lein rely’既可以开始学习clojure的语法等最基础的东西。

简单的例子:

(defn average [numbers] (/ (apply + numbers) (count numbers)))

注:此处的(apply + numbers)相当于(+ numbers)


2. stdout 输出字符串

方案一:

(read-string "[10 20 30]")
方案二:
(pr-str [10 20 30])


3.关键字求值

创建hashmap:

(def person {:name "xufei" :description "nice"})

查找对应的值:

(:description person)

4.两种注释

1)分号;当行注释:

#this is a comment

2)形式注释 #_宏

(read-string "(+ 1 2 #_(* 2 2) 8)")
输出为:1 2 8


下一篇将记录clojure的列表和函数;

有个网站好像是用来查看权限配置的,To find where setResourceMonitors is defined: defs:setResourceMonitors To find files that use sprintf in usr/src/cmd/cmd-inet/usr.sbin/: refs:sprintf path:usr/src/cmd/cmd-inet/usr.sbin To find assignments to variable foo: "foo =" To find Makefiles where the pstack binary is being built: pstack path:Makefile to search for phrase "Bill Joy": "Bill Joy" To find perl files that do not use /usr/bin/perl but something else: -"/usr/bin/perl" +"/bin/perl" To find all strings beginning with foo use the wildcard: foo* To find all files which have . c in their name (dot is a token!): ". c" To find all files which start with "ma" and then have only alphabet characters do: path:/ma[a-zA-Z]*/ To find all main methods in all files analyzed by C analyzer (so .c, .h, ...) do: main type:c More info: A Query is a series of clauses. A clause may be prefixed by: a plus "+" or a minus "-" sign, indicating that the clause is required or prohibited respectively; or a term followed by a colon ":", indicating the field to be searched. This enables one to construct queries which search multiple fields. A clause may be either: a term, indicating all the documents that contain this term; or a phrase - group of words surrounded by double quotes " ", e.g. "hello dolly" a nested query, enclosed in parentheses "(" ")" (also called query/field grouping) . Note that this may be used with a +/- prefix to require any of a set of terms. boolean operators which allow terms to be combined through logic operators. Supported are AND(&&), "+", OR(||), NOT(!) and "-" (Note: they must be ALL CAPS). Regular Expression, Wildcard, Fuzzy, Proximity and Range Searches: to perform a regular expression search use the "/" enclosure, e.g. /[mb]an/ - will search for man or for ban; NOTE: path field search escapes "/" by default, so it only supports regexps when the search string starts and ends with "/". More info can be found on Lucene regexp page. to perform a single character wildcard search use the "?" symbol, e.g. te?t to perform a multiple character wildcard search use the "*" symbol, e.g. test* or te*t you can use a * or ? symbol as the first character of a search (unless not enabled using indexer option -a). to do a fuzzy search (find words similar in spelling, based on the Levenshtein Distance, or Edit Distance algorithm) use the tilde, "~", e.g. rcs~ to do a proximity search use the tilde, "~", symbol at the end of a Phrase. For example to search for a "opengrok" and "help" within 10 words of each other enter: "opengrok help"~10 range queries allow one to match documents whose field(s) values are between the lower and upper bound specified by the Range Query. Range Queries can be inclusive or exclusive of the upper and lower bounds. Sorting is done lexicographically. Inclusive queries are denoted by square brackets [ ] , exclusive by curly brackets { }. For example: title:{Aida TO Carmen} - will find all documents between Aida to Carmen, exclusive of Aida and Carmen. Escaping special characters: Opengrok supports escaping special characters that are part of the query syntax. Current special characters are: + - && || ! ( ) { } [ ] ^ " ~ * ? : \ / To escape these character use the \ before the character. For example to search for (1+1):2 use the query: \(1\+1\)\:2 NOTE on analyzers: Indexed words are made up of Alpha-Numeric and Underscore characters. One letter words are usually not indexed as symbols! Most other characters (including single and double quotes) are treated as "spaces/whitespace" (so even if you escape them, they will not be found, since most analyzers ignore them). The exceptions are: @ $ % ^ & = ? . : which are mostly indexed as separate words. Because some of them are part of the query syntax, they must be escaped with a reverse slash as noted above. So searching for \+1 or \+ 1 will both find +1 and + 1. Valid FIELDs are full Search through all text tokens (words,strings,identifiers,numbers) in index. defs Only finds symbol definitions (where e.g. a variable (function, ...) is defined). refs Only finds symbols (e.g. methods, classes, functions, variables). path path of the source file (no need to use dividers, or if, then use "/" - Windows users, "\" is an escape key in Lucene query syntax! Please don't use "\", or replace it with "/"). Also note that if you want just exact path, enclose it in "", e.g. "src/mypath", otherwise dividers will be removed and you get more hits. type Type of analyzer used to scope down to certain file types (e.g. just C sources). Current mappings: [ada=Ada, asm=Asm, bzip2=Bzip(2), c=C, clojure=Clojure, csharp=C#, cxx=C++, eiffel=Eiffel, elf=ELF, erlang=Erlang, file=Image file, fortran=Fortran, golang=Golang, gzip=GZIP, haskell=Haskell, hcl=HCL, jar=Jar, java=Java, javaclass=Java class, javascript=JavaScript, json=Json, kotlin=Kotlin, lisp=Lisp, lua=Lua, mandoc=Manual pages, pascal=Pascal, perl=Perl, php=PHP, plain=Plain Text, plsql=PL/SQL, powershell=PowerShell script, python=Python, r=R, ruby=Ruby, rust=Rust, scala=Scala, sh=Shell script, sql=SQL, swift=Swift, tar=Tar, tcl=Tcl, terraform=Terraform, troff=Troff, typescript=TypeScript, uuencode=UUEncoded, vb=Visual Basic, verilog=Verilog, xml=XML, yaml=Yaml, zip=Zip] The term (phrases) can be boosted (making it more relevant) using a caret ^ , e.g. help^4 opengrok - will make term help boosted Opengrok search is powered by Lucene, for more detail on query syntax refer to Lucene docs. Intelligence Window这是用例,我该怎么来查找这个权限
11-14
通过短时倒谱(Cepstrogram)计算进行时-倒频分析研究(Matlab代码实现)内容概要:本文主要介绍了一项关于短时倒谱(Cepstrogram)计算在时-倒频分析中的研究,并提供了相应的Matlab代码实现。通过短时倒谱分析方法,能够有效提取信号在时间与倒频率域的特征,适用于语音、机械振动、生物医学等领域的信号处理与故障诊断。文中阐述了倒谱分析的基本原理、短时倒谱的计算流程及其在实际工程中的应用价值,展示了如何利用Matlab进行时-倒频图的可视化与分析,帮助研究人员深入理解非平稳信号的周期性成分与谐波结构。; 适合人群:具备一定信号处理基础,熟悉Matlab编程,从事电子信息、机械工程、生物医学或通信等相关领域科研工作的研究生、工程师及科研人员。; 使用场景及目标:①掌握倒谱分析与短时倒谱的基本理论及其与傅里叶变换的关系;②学习如何用Matlab实现Cepstrogram并应用于实际信号的周期性特征提取与故障诊断;③为语音识别、机械设备状态监测、振动信号分析等研究提供技术支持与方法参考; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,先理解倒谱的基本概念再逐步实现短时倒谱分析,注意参数设置如窗长、重叠率等对结果的影响,同时可将该方法与其他时频分析方法(如STFT、小波变换)进行对比,以提升对信号特征的理解能力。
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