nested

This seems like a pretty basic thing to do but although I've been using Django for around a year, I've never run into this scenario yet. In a lot of templating/web frameworks, template inheritance works a bit differently, in that usually it behaves more like wrappers, so if you have childtemplate.html, parenttemplate.html, and grandparenttemplate.html, then the finally rendering usually looks something like: grandparent header parent header child header child content parent content parent footer grandparent content grandparent footer That's not exactly how it works in Django but I'm wondering

I have a problem understanding how to build view models based on the following models (I simplified the models to be clearer) public class Hit { public bool On { get; set;} public Track Track { get; set; } } public class Track { public ObservableCollection<Hit> Hits { get; set; } public LinearGradientBrush Color { get; set; } public Pattern Pattern { get; set; } } public class Pattern { public string Name { get; set; } public ObservableCollection<Tracks> Tracks { get; set; } } Now, my problem is, how to build the ViewModels.. I need to keep the original relationships through the models,

I have one enum 'class' called Example as follows: enum Example { //enums belonging to group A: enumA1, enumA2, enumA3, //enums belonging to group B: enumB1, enumB2, enumB3, //enums belonging to group C: enumC1, enumC2, enumC3; } It's important for my project they all enums I work with belong to Example (since this is an argument in a constructor of a class). How do I use enum hierarchy/nesting in order to achieve the following: A method that tests whether an enum is of group A, B or C. For example, something like Example.enumA1.isGroupBelonging(Group.A) or isGroupBelonging(Example.enumA1

I'm working on a job that processes a nested directory structure, containing files on multiple levels: one/ ├── three/ │ └── four/ │ ├── baz.txt │ ├── bleh.txt │ └── foo.txt └── two/ ├── bar.txt └── gaa.txt When I add one/ as an input path, no files are processed, since none are immediately available at the root level. I read about job.addInputPathRecursively(..) , but this seems to have been deprecated in the more recent releases (I'm using hadoop 1.0.2). I've written some code to walk the folders and add each dir with job.addInputPath(dir) , which worked until the job crashed when trying to

This question already has an answer here : How to access sub-entities in JSON file? (1 answer) I have a json file that looks like this { "group" : {}, "lang" : [ [ 1, "scala", "functional" ], [ 2, "java","object" ], [ 3, "py","interpreted" ] ] } I tried to create a dataframe using val path = "some/path/to/jsonFile.json" val df = sqlContext.read.json(path) df.show() when I run this I get df: org.apache.spark.sql.DataFrame = [_corrupt_record: string] How do we create a df based on contents of "lang" key? I do not care about group{} all I need is, pull data out of "lang" and apply case class like

I've two simple models, Pin and Comment, Comments belongs to Pin: class Pin < ActiveRecord::Base has_many :comments, dependent: :destroy and class Comment < ActiveRecord::Base belongs_to :pin In the index action of Pin I've basically a list of all the pins + a div . This div must show all the comments when user select a pin. Concept is quite simple, but I can't figure out how to achieved it. I've found many subjects related, but I always lost myself in the differences with my problem. Some precise questions: How to do this ajax load? (with jquery) Do I need to use partials or use index view of

Need to turn x: X = [['A', 'B', 'C'], ['A', 'B', 'D']] Into Y: Y = {'A': {'B': {'C','D'}}} More specifically, I need to create a tree of folders and files from a list of absolute paths, which looks like this: paths = ['xyz/123/file.txt', 'abc/456/otherfile.txt'] where, each path is split("/") , as per ['A', 'B', 'C'] in the pseudo example. As this represents files and folders, obviously, on the same level (index of the array) same name strings can't repeat. X = [['A', 'B', 'C'], ['A', 'B', 'D'],['W','X'],['W','Y','Z']] d = {} for path in X: current_level = d for part in path: if part not in