ios - UIDocument loadFromContents: is not always called after document was changed on another device -


मेरे पास एक कस्टम यूआईडीओका सबक्लास है और इसका कार्यान्वयन loadFromContents: और contentsForType: ।

यह पता लगाने के लिए कि दस्तावेज़ दूसरे डिवाइस पर बदल दिया गया था, मैंने loadFromContents: के लिए एक प्रतिनिधि जोड़ा: 

  - (BOOL) loadFromContents: (आईडी) की सामग्री की प्रकार: (NSString *) प्रकारनाम त्रुटि: (NSError **) outError {डिस्क से लोड [एक ??] | अगर ([_delegate respondToSelector: @selector (नोट दस्तावेज़ दस्तावेज़ अद्यतन :)) {[_delegate noteDocumentContentsUpdated: self]; } हां लौटें; }   
 मेरी समस्या यह है कि जब मैं किसी अन्य डिवाइस पर दस्तावेज़ को बदलता हूं, तो मुझे दस्तावेज़ स्टेट परिवर्तन सूचनाएं प्राप्त होती हैं ( edit_disabled  इसके बाद  normal  ), लेकिन सामग्री  नहीं  पुनः लोड की गई है और  loadFromContents:  नहीं कहा जाता है।  
 सामग्री निश्चित रूप से डिस्क पर अपडेट की गई थी जब मैं मैन्युअल रूप से यूआई के माध्यम से दस्तावेज़ को फिर से खोलता हूं, तो मैं तुरंत नवीनतम बदलाव देखता हूं।  
 दूसरी बार यह काम करता है और  loadFromContents:  को स्वचालित रूप से कहा जाता है मैं समझ नहीं सकता कि यह कभी-कभी काम क्यों नहीं करता। क्या किसी और ने इस समस्या को देखा है?   
 
 
 आप नोटिफिकेशन के बाद मैन्युअल रूप से दस्तावेज़ संस्करण को हल करने और / या फिर सामान्य स्थिति में होने के बाद दस्तावेज पुनः लोड करें।  
 दस्तावेज़ की सामग्री को पुनः लोड करने के लिए निम्न  UIDocument  विधि को देखो:  
  - (शून्य ) RevertToContentsOfURL: (NSURL *) url completionHandler: (शून्य (^) (BOOL सफलता)) समापन Handler;

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