nested

I am using Ruby 1.9.2 and the Ruby on Rails v3.2.2 gem. After my previous question on how to “nest” the inclusion of modules when using the Ruby on Rails ActiveSupport::Concern feature , I would like to understand where I should state methods added to a class by including "nested" modules in order to make these instance methods of that class. That is, I have the following: class MyClass < ActiveRecord::Base include MyModuleA end module MyModuleA extend ActiveSupport::Concern included do include MyModuleB end end module MyModuleB extend ActiveSupport::Concern included do # def my_method # ... #

I have created a usercontrol which accept type of enum and assign the values of that enum to a ComboBox control in that usercontrol. Very Simple. I am using this user control in DataTemplates. Problem comes when there comes nested type. I assign that using this notation EnumType="{x:Type myNamespace:ParentType + NestedType}" It works fine at runtime. but at design time it throws error saying Could not create an instance of type 'TypeExtension' Why? Due to this I am not able to see my window at design time. Any help? According to Rob Relyea form Microsoft this is a defect within the VS2008/2010

I have been trying to parse nested JSON data and below is my code var string = '{"key1": "value", "key2": "value1", "Key3": {"key31":"value 31"}}'; var obj = JSON.parse(string); console.log(obj.key1) console.log(obj[0]); And this is the output $ node try.js value undefined Why I am getting undefined for obj[0] ? How to get value in this case, and also for nested key key31 ? Update Now with the help from @SergeyK and others, I have modified my above code as follows var string = '{"key1": "value1", "key2": "value2", "key3": {"key31":"value 31"}}'; var obj = JSON.parse(string); var array = Object

I'm trying to get the name and reading type="alpha". I'm a beginner and English is not my first language, please pardon me. I've read about DOM, SAX, Simple, other StackOverflow posts, other samples but I don't understand and will like to learn about XMLPullParser in this case. Sample XML below: <feed> <title>Title</title> <item> <entry> <name>Name1</name> <record date="20001231"> <reading type="alpha" value="100"/> <reading type="beta" value="200"/> </record> </entry> <entry> <name>Name2</name> <record date="20001231"> <reading type="alpha" value="300"/> <reading type="beta" value="400"/> <

To have less redundant XAML markup i try to get a radiobutton-type selection control to be populated generically, i.e. i use an ItemsControl with an enum as ItemsSource and create a DataTemplate which shows which item is selected by checking whether the enum value of the item is the same as the current setting. This alone cannot be done using a simple converter or DataTrigger because two bindings are needed, so i created a generic MutliValueConverter to check for equality: <CheckBox.Visibility> <MultiBinding Converter="{StaticResource EqualityComparisonConv}"> <Binding Path="Key"/> <Binding

just playing around with openmp. Look at this code fragments: #pragma omp parallel { for( i =0;i<n;i++) { doing something } } and for( i =0;i<n;i++) { #pragma omp parallel { doing something } } Why is the first one a lot more slower (around the factor 5) than the second one? From theory I thought that the first one must be faster, because the parallel region is only created once and not n-times like the second? Can someone explain this to me? The code i want to parallelise has the following structure: for(i=0;i<n;i++) //wont be parallelizable { for(j=i+1;j<n;j++) //will be parallelized { doing

I am just getting to know pandas and I can't get over a conceptual problem. My dataframe is as follows: df=pd.DataFrame({'ANIMAL':[1,1,1,1,1,2,2,2], 'AGE_D' : [3,6,47,377,698,1,9,241], 'AGE_Y' : [1,1,1,2,2,1,1,1]}) I would like to do a nested group within animal and age_y and then select the min on the subgroup. Desired output would be then: ANIMAL AGE_Y AGE_D 1 1 3 1 2 377 2 1 1 I can do this without nesting within animal, e.g. if my df2 = subset for ANIMAL=1 then df2.loc[df2.groupby('AGE_Y')['AGE_D'].idxmin()] But all the things I tried with nesting the animal in the group by were