How to create submit button in PHP using HTML forms? -


इस कोड के बिना मेरा वेब पेज ठीक काम करता है ... 

  प्रतिध्वनि "& lt; form नाम = "रोगी" क्रिया = "रोगी_हृष्टि_डिस्क.एफ़पीपी" विधि = "जाओ" & gt; "; गूंज "& lt; इनपुट प्रकार =" जमा करें "मान =" रोगी इतिहास को देखने के लिए यहां क्लिक करें "& gt;"; गूंज "& lt; / form & gt;"; हालांकि, कोड के इस हिस्से को जोड़ने के बाद, मुझे दो त्रुटियां मिलीं:  
 
 त्रुटि 1: स्क्रीन: त्रुटि 2 के लिए त्रुटि दमन को नजरअंदाज कर दिया गया: पार्स त्रुटि: वाक्यविन्यास त्रुटि, अनपेक्षित T_STRING, '', 'या'; ''    
 
 
 आप कर रहे हैं उद्धरण से बचने के लिए नहीं "यद्यपि गूंज के लिए आपको एकल उद्धरण के साथ आरंभ करना और बंद होना चाहिए ' 
  गूंज & lt; form name =" patient "action =" patient_history_display.php "method =" get "& gt; '; गूंज' & amp; lt; इनपुट प्रकार = "जमा करें" मान = "रोगी इतिहास को देखने के लिए यहां क्लिक करें" & gt; '; गूंज' & lt; / form & gt; ';   
 और भागने से, मेरा मतलब है "इस तरह गूंज के अंदर एक बैकस्लैश जोड़ना:  
  गूंज" 
  
 जैसा कि आप देख सकते हैं, बुद्धिमानी से उद्धरण का उपयोग करने में बहुत आसान है!  
 या बड़े ब्लॉक सामग्री के लिए:  
  गूंज & lt; & lt; & lt; END यह $ चर प्रक्षेप के साथ कई लाइनों को आउटपुट करने के लिए "यहां दस्तावेज़" वाक्यविन्यास का उपयोग करता है ध्यान दें कि यहां दस्तावेज़ टर्मिनेटर को सिर्फ एक अर्धविराम के साथ एक पंक्ति पर दिखाई देना चाहिए। कोई अतिरिक्त सफेद स्थान नहीं! समाप्त;

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