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
是的,您可以使用Java.util.Base64
轻松地在Java中将Base64数据解码为byte[]
,如下所示:
String myBase64String = ...;
byte[] decoded = Base64.getDecoder().decode(myBase64String);
注意,您可能需要将getDecoder()
替换为getMimeDecoder()
或getURLDecoder()
,这取决于您使用的字符串的Base64编码类型。
然后,如果需要某种需要该数据作为输入的处理,则可以轻松地创建InputStream
,该ByteArrayInputStream
使用ByteArrayInputStream
提供该数据:
InputStream in = new ByteArrayInputStream(decoded);
问题内容: 我正在使用urllib2从网页中获取数据。所有页面的内容均为英语,因此不存在处理非英语文本的问题。但是页面是经过编码的,有时它们包含HTML实体,例如£或版权符号等。 我想检查页面的某些部分是否包含某些关键字-但是,我想进行不区分大小写的检查(出于明显的原因)。 将返回的页面内容转换为所有小写字母的最佳方法是什么? [[更新]] 我不必使用urllib2来获取数据,实际上我可以改用Be
编程相对较新。我想读取一个URL,修改文本字符串,然后将其写入以行分隔的csv文本文件。 阅读 但我无法将相同的字符串写入文件——它只会变成一行(请参阅下面的循环,尝试1) 我想我正在寻找一种方法,在FileWriter或BufferedWriter循环中,将字符串finalDataA转换为数组字符串(即包括字符串后缀[0]),但我还没有找到这样一种方法,不会给出类型“不能”的错误将String转
问题内容: 我已经在这个问题上停留了几个小时,试图使其正常工作。基本上我想做的是以下内容。Base64对从Android设备上的sdcard拾取的音频文件进行编码,对Base64进行编码,将其转换为String,然后再次使用Base64对该String进行解码,然后将文件保存回sdcard。听起来很简单,使用文本文件时效果很好。例如,如果我创建一个简单的文本文件,将其命名为dave.text并在“
问题内容: 我正在使用 Python 2 从 ASCII编码的 文本文件中解析JSON 。 当使用或 加载这些文件时,我所有的字符串值都转换为Unicode对象而不是字符串对象。问题是,我必须将数据与仅接受字符串对象的某些库一起使用。我 无法更改库, 也 无法 更新它们。 是否可以获取字符串对象而不是Unicode对象? 更新资料 很久以前 ,当我坚持使用 Python 2 时就问 了 这个问题。
问题内容: 就像标题所说的那样,我正在尝试在Java中将字符串“ test”编码为base32字符串“ ORSXG5A =“。 我在网上搜索时发现的所有类都是使用32位从字符串编码为数组的类,但是显然这不是我想要的。 很抱歉这个新手问题。 问题答案: Apache commons编解码器提供了一个可以执行此操作的类 版画 您可以在此处下载。
本文向大家介绍JavaScript将字符串转换成字符编码列表的方法,包括了JavaScript将字符串转换成字符编码列表的方法的使用技巧和注意事项,需要的朋友参考一下 本文实例讲述了JavaScript将字符串转换成字符编码列表的方法。分享给大家供大家参考。具体如下: JavaScript将字符串转换成字符编码列表,例如foo转换成 [112,111,111] 方法 1: JavaScript 1