actionscript 3 - Avoid escaping in xml -


मैंने एक एक्सएमएल फाइल पढ़ी है 

  & lt;! [CDATA [& lt; गुण आईडी = "उपवर्ग" & gt; & lt; / संपत्ति & gt;]] & gt;   
 जब मैं फ़ाइल में वापस लिखता हूं, तो यह हो जाएगा:  
  & amp; lt; संपत्ति आईडी = "उप वर्ग" & amp; gt; & amp; lt; / संपत्ति में & amp; gt;   
 मैं इसे कैसे से बच सकता हूं और मूल स्ट्रिंग को वापस लिख सकता / सकती हूं? मेरा मतलब है कि बस वापस लिखें:  
  & lt;! [CDATA [& lt; संपत्ति आईडी = "सब क्लास" & gt; & lt; / property & gt;]] & gt;   
 पीएस  
 मैंने फाइल करने के लिए लिखने से पहले इसे प्रदर्शित करने के लिए  अलर्ट ()  का इस्तेमाल किया है। यह ठीक है लेकिन बिना। ठीक है:  
  & lt; संपत्ति आईडी = "उप क्लास" & gt; & lt; / property & gt;   
 लेखन वापस फ़ंक्शन निम्न है:  
  var xmlObj = & lt;! [CDATA [& lt; संपत्ति आईडी = "सब क्लास" & gt; & lt; / संपत्ति & gt;]] & gt ;; FLfile.write (पथ, xmlObj); // अनसेस्पेप () बेकार है वहाँ।   
 FLfile जेएसएफएल (फ्लैश जावा स्क्रिप्ट) में एक ऑब्जेक्ट है।   
 
 
 यदि आप एक समस्या में चलाते हैं जहां पारसर एक्सएमएल वाक्यविन्यास के विशेष प्रतीकों की जगह ले रहा है, तो एक्सएमएल को डेटा को संरक्षित करने के लिए XML ऑब्जेक्ट के विरोध में स्ट्रिंग के रूप में सहेजें।

Comments

Post a Comment

Popular posts from this blog

python - how we can use ajax() in views.py in django? -

I have a little code here. Could you please tell me what this code really does? please. Here in the AJAX call: $ .ajax ({url: "{% url} upload_document '%}", type: "POST", data : {Csrfmiddletoken: document.getElementsByName ('csrfmiddletoken') [0] Price, Title: document.getElementById ('title'). Value, // document: document: document.getElementById ('document'),}, datatype: "Jason", success: function (feedback) {if (feedback == "true") {// success} other {// attachment errors}}}); How AJAX works in the Django and how we can see the AJAX request. Here is the idea of ​​my thoughts def upload_document (requested): Print request. POTT print request FILES if request.is_ajax (): If request.method == 'POST': form = UploadForm (request.POST, request.FILES, user = request.user) if form.is_valid (): Form.save () return HTTPPCS (SimpleJason Dumps ('True'), Mime Type = 'App / Jason') Other:...
Read more

matlab - Using loops to get multiple values into a cell -

I have 31 topics (S1, S2, S3, S4, etc.) 3 images in each topic, opposite 1 IMG, Contrast 2 IMG and Contrast 3 Are IMG I p In a NX1 cell named P, I would like to use a loop to get all the paths of contrasts from all the subjects: data / S1 / contrast1.img / S1 / contrast2.img data / S1 / contrast3.img data / s2 / contrast1.img data / S2 / contrast2.img Data / S2 / contrast3.img ... Data / S31 / contast3.img This is what I've tried: A = {'S1', 'S2', 'S3', ..., 'S31'}; % All topics C = {'contrast1.img', 'contrast2.img', 'contrast3.img'}; For each = P = cell (31 * 3,1) for each topic, the required contrast images: Length = A for Jammu = 1: Length (C) P {j} = spm_select ('FPList', Fullfile (data_path, q {i}) sprint ('% s', cell2mat (c))); % Of each topic is to select three contrast images, it works in my script, it is probably not 100% correct, because I had to simplify this example. End of ...
Read more

python - Sequence Pattern recognition with Pybrain -

Image
I am constantly trying to use recurrent neural networks to classify a series of data. To be more specific, I have a sequence of sensor reading (which is continuous over time), I have to learn an algorithm which can detect the state related to this pattern, given the readings change. Example: Time step_1: 1.4 Time step_2: 1 Time step_3: 0.8 State = New Sequence: Time Phase 1: 0.4 Time Phase 2: 0.3 Time Phase 3: 0.1 State = Sitting I actually have 12 censors, I'm just showing a sequence of numbers for convenience. (Numbers are not real, I'm just trying to fulfill this idea)! I am trying to make my network with PyBrain RNN, however, I can not get a Data Set Container that can detect it, like information I tried to use sequential data But after some testing I came to know that this number is the next element in the sequence of numbers. Here's how I prepare my dataset: self.alldata = SequentialDataSet (ds.num_features, 1) # Now add samples to the dat...
Read more