python - IndentationError: expected an indented block 10 -


यहाँ कोड है 

  import RPi.GPIO GPIO आयात समय GPIO.setmode ( GPIO.BCM) GPIO.setup (2, GPIO.IN) सच है, तो: यदि GPIO.input (2) == गलत: प्रिंट ("मार्शल्लो एक अच्छा इनपुट बनाता है") time.sleep (0.5) फ़ाइल "marshmallow.py" , लाइन 11 प्रिंट ("मार्शमॉलो एक अच्छा इनपुट बनाता है") ^ इंडेंटेशन एरर: अपेक्षित एक इंडेंट ब्लॉक   
 मुझे एक पुस्तक से यह कोड मिला है और मुझे यकीन नहीं है कि क्या गलत है ... < / 
 
 
  यदि  ब्लॉक (या उस बात के लिए कोई ब्लॉक) में कोड होना चाहिए ब्लॉक खोलने वाले कथन से आगे बढ़ें इस संदर्भ में, इसका मतलब है कि आपका कोड इस तरह दिखना चाहिए:  
  जबकि सही: GPIO.input (2) == गलत: प्रिंट ("मार्शमॉल एक अच्छा इनपुट करता है") time.sleep (0.5)   
 या शायद यह पसंद है:  
  जबकि सही: अगर GPIO.input (2) == गलत: प्रिंट ("मार्शमॉलो एक अच्छा बनाता है इनपुट ") time.sleep (0.5)   
 आपने जो कोड पोस्ट किया है, यह पूरी तरह से स्पष्ट नहीं है कि आप इनमें से कौन सा दो चाहते हैं (हालांकि यह संभवतः पूर्व है - आप संभवत: बनना चाहते हैं प्रत्येक पाश चलने पर सो रहा है)।  
 यह भी ध्यान रखें कि पायथन कोड में, यह पसंद किया जाता है कि प्रत्येक स्तर के इंडैेंडेशन में 4 रिक्त स्थान शामिल हैं, न कि 2 - तो  आदर्श , यह कोड इस प्रकार दिखाई देगा:    < / html>

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