blob

jieba “结巴”中文分词：做最好的 Python 中文分词组件 "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best Python Chinese word segmentation module. Scroll down for English documentation. 特点 支持三种分词模式： 精确模式，试图将句子最精确地切开，适合文本分析； 全模式，把句子中所有的可以成词的词语都扫描出来, 速度非常快，但是不能解决歧义； 搜索引擎模式，在精确模式的基础上，对长词再次切分，提高召回率，适合用于搜索引擎分词。 支持繁体分词 支持自定义词典 MIT 授权协议 在线演示 http://jiebademo.ap01.aws.af.cm/ (Powered by Appfog) 网站代码： https://github.com/fxsjy/jiebademo 安装说明 代码对 Python 2/3 均兼容 全自动安装： easy_install jieba 或者 pip install jieba / pip3 install jieba 半自动安装：先下载 http://pypi.python.org/pypi/jieba/ ，解压后运行 python setup

I am trying to download CVS file using JavaScript. That CSV contains text in French language. I am creating file using blob var blob = new Blob([ csv ], { type : 'text/csv;charset=utf-8' }); var csvUrl = window.URL.createObjectURL(blob); But when i open the csv file it shows the content in ANSII format due to which French characters are converted to some unknown characters. But if i open the same file as text, the encoding is ok (UTF-8). Example: Text I am trying to download "Opération" Text Visible in Excel (.csv) ==> Opération <== With unknown characters Text if opened in Notpad++ ==>

I have a database with some images inside, saved as BLOB. I didn't have any problem with the database until now, I try to retrieve the BLOB as I would do with any other data but it's not working: Cursor c = mDb.query(" ... "); c.moveToFirst(); ByteArrayInputStream inputStream = new ByteArrayInputStream(c.getBlob(0)); Bitmap b = BitmapFactory.decodeStream(inputStream); The problem is that I get an exception when the program is trying to get the information of "c.getBlob(0)". It's also not working for "byte[] b = c.getBlob(0)". Possible reasons: The file is too large? (1.2Mb) I have to do

I'm using Epub.js library to render a .epub file in a Phonegap project. The file gets fetched and unzipped correctly, but then the screen is displayed blank if running in WebView (Works perfect in Desktop and in android browser (Chrome app)). Debugging, I see that the iframe where the epub should be loaded doesn't work, as iframe.onload never gets called. The URL he's trying to access is blob:file%3A///85a6ce73-2b5f-430e-a908-26a7d3d830e4 , so I'm guessing that could be the reason... Cordova doesn't accept blob URI schemes. However, I don't know any workaround... I'm completely stuck there. I

How to render an image blob to a canvas element? So far i have these two (simplified) functions to capture an image, transform it to a blob and eventually render the blob on a canvas in this codepen, it just returns the default black image. var canvas = document.getElementById('canvas'); var input = document.getElementById('input'); var ctx = canvas.getContext('2d'); var photo; function picToBlob() { var file = input.files[0]; canvas.toBlob(function(blob) { var newImg = document.createElement("img"), url = URL.createObjectURL(blob); newImg.onload = function() { ctx.drawImage(this, 0, 0); photo

<el-form-item> <el-button @click="exportHandle()" type="success">导出</el-button> </el-form-item> <script>import axios from 'axios' export default { methods:{ exportHandle() { axios({ headers: { 'Content-Type':'application/json', token: Cookies.get('tokensp') }, responseType: 'blob', // 一定要写 method: 'get', url:`${window.SITE_CONFIG['forumURL']}/productequipment/pmequipment/exportBackgroundEquipments`, params: { "json": { token: Cookies.get("token"), customerName:this.dataForm.customerName, businessOfficeId:this.dataForm.officeId, createTimeStart:'', createTimeEnd:'' } } }) .then(res => { let

We have a large file stored on our temporary file system, what I would be needing is to read that huge file (probably couple or few gigs) using BufferedInputStream as below InputStream is = is = new BufferedInputStream(new FileInputStream(file)); this will effectively decrease the time to read the file and wish to save the file to BLOB in DB (Oracle). Here is the real problem: I do not want the file to be completely read to my memory as Iam landing into Out of memory and want to read the chunks and push the file content as byte array to my DB BLOB column. Basically, My idea was to kill the

前言：两种方式都可以实现，一种利用mimikatz dpapi，还有一种利用ChromePass工具，各有各的优点吧 第一种：利用mimikatz dpapi获取Master Key进行解密 首先要了解的概念： DPAPI： 全称Data Protection Application Programming Interface DPAPI blob： 一段密文，可使用Master Key对其解密 Master Key： 64字节，用于解密DPAPI blob，使用用户登录密码、SID和16字节随机数加密后保存在Master Key file中 Master Key file： 二进制文件，可使用用户登录密码对其解密，获得Master Key 实现方法： 1、使用python读取数据库文件Login Data并提取出密文 from os import getenv import sqlite3 import binascii conn = sqlite3.connect("Login Data") cursor = conn.cursor() cursor.execute('SELECT action_url, username_value, password_value FROM logins') for result in cursor.fetchall(): print

I understand that there is a lot of controversy over whether it is bad practice to store files as blob's in a database, but I just want to understand whether this would make sense in my case. I am creating an ASP.NET application, used internally at a large company, where the users needs to be able to attach files to a 'job' in the system. These files are generally PDF's or Word documents, probably never exceeding a couple of mb. I am creating a new table like so: ID (int) JobID (int) FileDescription (nvarchar(250)) FileData (varbinary(MAX) Is the use of varbinary(MAX) here ideal, or should I