ruby on rails - Why are my RSpec test failing -


यह मेरा मॉडल है: 

  class रेस्तरां & lt; ActiveRecord :: बेस मान्य: नाम, उपस्थिति: सच, विशिष्टता: {case_ संवेदनशील: झूठी} अंत   
 यहां टेस्ट है:  
  'spec_helper' का वर्णन करें रेस्तरां @ पूर्व रेस्तरां = रेस्तरां.न्यू (नाम: "मॉमफुकु") अंत विषय {@restaurant} इसे (जवाब देना चाहिए): (होना चाहिए) नाम होना चाहिए ("_valid}" जब "नाम मौजूद नहीं है" का वर्णन करें {@restaurant .name = ""} इसे {not_not be_valid} अंत का वर्णन "जब नाम पहले से ही लिया गया है" से पहले करें restaurant_with_same_name = @ restaurant.dup restaurant_with_same_name.name = @ restaurant.name.upex restaurant_with_same_name.save समाप्त हो जाना चाहिए {should_not be_valid} end end   
 जब मैं परीक्षण चला रहा हूं, तो मुझे विफलता मिलती है:  
  $ बंडल एक्स्प्ले rspec spec / मॉडल .. एफएफ़ विफलताएं: 1) रेस्तरां जब नाम नहीं है वर्तमान वैध विफलता / त्रुटि नहीं होनी चाहिए: यह {चाहिए_not be_valid} अपेक्षित # & lt; रेस्टोरेंट आईडी: शून्य, नाम: "", बनाया गया_एटी: शून्य, अपडेट किया गया: शून्य & gt; मान्य नहीं होना चाहिए # ./spec/models/restaurant_spec.rb:15:in 'ब्लॉक (3 स्तर) में & lt; शीर्ष (आवश्यक) & gt;' 2) भोजनालय जब नाम पहले ही लिया जाता है तो मान्य विफलता / त्रुटि नहीं होनी चाहिए: इसे {चाहिए_not be_valid} अपेक्षित # & lt; रेस्टोरेंट आईडी: शून्य, नाम: "माँफुकु", बनाया गया: शून्य, अपडेट किया गया: शून्य & gt; मान्य नहीं होना चाहिए # ./spec/models/restaurant_spec.rb:25:in `ब्लॉक (3 स्तर) में & lt; शीर्ष (आवश्यक) & gt; ' 0.018 9 4 सेकंड में समाप्त 4 उदाहरण, 2 असफलता विफल उदाहरण: rspec ./spec/models/restaurant_spec.rb:15 # रेस्तरां जब नाम मौजूद नहीं है, तो मान्य आरएसपीसी नहीं होना चाहिए ./spec/models/restaurant_spec.rb:25 # रेस्तरां नाम पहले से ही लिया गया है मान्य नहीं होना चाहिए बीज के साथ यादृच्छिक होना चाहिए 39746   
 क्यों?   
 
 
 मान्य करने के बजाय मान्य उपयोग करें।

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