compare

Beyond Compare 4.2.10手动破解

余生长醉 提交于 2019-11-28 22:13:25
转载: https://masuit.com/1228 最近博主看后台统计的时候发现,很多朋友都在搜索这软件,所以今天,博主就给你们找来了。 Beyond Compare是一款不可多得的专业级的文件夹和文件对比工具,使用它可以很方便地对比出两个文件夹或者文件的不同之处,相差的每一个字节用颜色加以表示,查看方便,支持多种规则对比,使用Beyond Compare只需使用简单而强大的命令和操作,即可开启最优质的对比体验,找出您感兴趣的差异,合并变化,然后同步文件,并生成报告,用户可以从Windows、Mac OSX和Linux工作站直接访问FTP网站、媒体设备、WebDAV资源,SVN存储库和云存储,Beyond Compare包含多种数据类型的内置比较浏览器,除了文本之外,还可以进行表格、图片、二进制文件、注册表的比较。 比较文件,文件夹、可以高效对比整个驱动器和文件夹,检查大小和修改时间;或者逐字节完整验证每个文件;无缝集成了FTP站点、云存储和压缩文件,强大的过滤功能允许您只看到的自己感兴趣的。 Beyond Compare选择最好的方法来突出不同之处,文本文件可以用语法高亮和比较规则调整进行查看和编辑,以用于文档、源代码和HTML。Word文档、Adobe和pdf文件也可以进行比较但是不能编辑。数据文件、可执行和二进制文件以及图像文件都有专用的查看器。 三种方式合并

Compare Dates DataAnnotations Validation asp.net mvc

a 夏天 提交于 2019-11-28 22:01:16
Lets say I have a StartDate and an EndDate and I wnt to check if the EndDate is not more then 3 months apart from the Start Date public class DateCompare : ValidationAttribute { public String StartDate { get; set; } public String EndDate { get; set; } //Constructor to take in the property names that are supposed to be checked public DateCompare(String startDate, String endDate) { StartDate = startDate; EndDate = endDate; } public override bool IsValid(object value) { var str = value.ToString(); if (string.IsNullOrEmpty(str)) return true; DateTime theEndDate = DateTime.ParseExact(EndDate, "yyyy

Java 8:一文掌握 Lambda 表达式

柔情痞子 提交于 2019-11-28 20:43:23
本文将介绍 Java 8 新增的 Lambda 表达式,包括 Lambda 表达式的常见用法以及方法引用的用法,并对 Lambda 表达式的原理进行分析,最后对 Lambda 表达式的优缺点进行一个总结。 1. 概述 Java 8 引入的 Lambda 表达式的主要作用就是简化部分 匿名内部类 的写法。 能够使用 Lambda 表达式的一个重要依据是必须有相应的 函数接口 。所谓函数接口,是指内部有且仅有一个抽象方法的接口。 Lambda 表达式的另一个依据是 类型推断机制 。在上下文信息足够的情况下,编译器可以推断出参数表的类型,而不需要显式指名。 2. 常见用法 2.1 无参函数的简写 无参函数就是没有参数的函数,例如 Runnable 接口的 run() 方法,其定义如下: @FunctionalInterface public interface Runnable { public abstract void run ( ) ; } 在 Java 7 及之前版本,我们一般可以这样使用: new Thread ( new Runnable ( ) { @Override public void run ( ) { System . out . println ( "Hello" ) ; System . out . println ( "Jimmy" ) ; } } ) .

java.util.Objects.isNull vs object == null

*爱你&永不变心* 提交于 2019-11-28 20:02:49
As you know, java.util.Objects is This class consists of static utility methods for operating on objects. One of such methods is Objects.isNull() . My understanding is that Objects.isNull() would remove the chance of accidentally assigning a null value to object by omitting the second = . However, the API Note states: This method exists to be used as a Predicate, filter(Objects::isNull) Would there be any reason/circumstance for which I should use object == null over Objects.isNull() in an if statement ? Should Objects.isNull() be confined to Predicates exclusively? Suresh Atta should use

How to check if two data frames are equal [duplicate]

天大地大妈咪最大 提交于 2019-11-28 17:47:38
This question already has an answer here: regarding matrix comparison in R 1 answer Say I have large datasets in R and I just want to know whether two of them they are the same. I use this often when I'm experimenting different algorithms to achieve the same result. For example, say we have the following datasets: df1 <- data.frame(num = 1:5, let = letters[1:5]) df2 <- df1 df3 <- data.frame(num = c(1:5, NA), let = letters[1:6]) df4 <- df3 So this is what I do to compare them: table(x == y, useNA = 'ifany') Which works great when the datasets have no NAs: > table(df1 == df2, useNA = 'ifany')

linux 下安装 Beyond Compare

烈酒焚心 提交于 2019-11-28 17:44:25
废话不多说,见链接,有各种格式的安装包,根据自己系统安装 : Linux Installation Instructions BC VERSION 3 OR 4 愉快地使用中(下载的安装包,解压安装,亲测)......顺便自己存档一份,格式就不整理了 Linux Installation Instructions BC VERSION 3 OR 4 DEBIAN, UBUNTU Beyond Compare 4.1 and newer require matching package and OS architecture (amd64.deb or i386.deb). Beyond Compare 3 - 4.0.7 require the i386.deb package on all supported versions of Debian and Ubuntu (32-bit and 64-bit). Beyond Compare 3 on Debian 8, 9 64-bit Enable 32-bit architecture support: sudo dpkg --add-architecture i386 Graphical Install Double click on the .deb package to install using the

How to compare LocalDate instances Java 8

寵の児 提交于 2019-11-28 17:43:11
I am writing an app that needs to be quite accurate in dates and I wonder how can I compare LocalDate instances.. for now I was using something like: LocalDate localdate1 = LocalDate().now(); LocalDate localdate2 = someService.getSomeDate(); localdate1.equals(localdate2); But I noticed that my app is giving me some confusing results, and I think it is because of the date comparing. I am thinking about obtaining the time from 1970' in long and compare those two, but I must be easier, I am sure of it Using equals() LocalDate does override equals: int compareTo0(LocalDate otherDate) { int cmp =

The right way to compare a System.Double to '0' (a number, int?)

邮差的信 提交于 2019-11-28 17:41:52
Sorry, this might be a easy stupid question, but I need to know to be sure. I have this if expression, void Foo() { System.Double something = GetSomething(); if (something == 0) //Comparison of floating point numbers with equality // operator. Possible loss of precision while rounding value {} } Is that expression equal with void Foo() { System.Double something = GetSomething(); if (something < 1) {} } ? Because then I might have a problem, entering the if with e.g. a value of 0.9. Well, how close do you need the value to be to 0? If you go through a lot of floating point operations which in

Comparing text files with Junit

断了今生、忘了曾经 提交于 2019-11-28 17:11:24
I am comparing text files in junit using: public static void assertReaders(BufferedReader expected, BufferedReader actual) throws IOException { String line; while ((line = expected.readLine()) != null) { assertEquals(line, actual.readLine()); } assertNull("Actual had more lines then the expected.", actual.readLine()); assertNull("Expected had more lines then the actual.", expected.readLine()); } Is this a good way to compare text files? What is preferred? IAdapter junit-addons has nice support for it: FileAssert It gives you exceptions like: junitx.framework.ComparisonFailure: aa Line [3]

How to compare two dataframe and print columns that are different in scala

烂漫一生 提交于 2019-11-28 16:50:58
问题 We have two data frames here: the expected dataframe: +------+---------+--------+----------+-------+--------+ |emp_id| emp_city|emp_name| emp_phone|emp_sal|emp_site| +------+---------+--------+----------+-------+--------+ | 3| Chennai| rahman|9848022330| 45000|SanRamon| | 1|Hyderabad| ram|9848022338| 50000| SF| | 2|Hyderabad| robin|9848022339| 40000| LA| | 4| sanjose| romin|9848022331| 45123|SanRamon| +------+---------+--------+----------+-------+--------+ and the actual data frame: +------+-