flatten

How to deserialize JSON into flat, Map-like structure?

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You can do this to traverse the tree and keep track of how deep you are to figure out dot notation property names: import com.fasterxml.jackson.databind.JsonNode; import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.node.ArrayNode; import com.fasterxml.jackson.databind.node.ObjectNode; import com.fasterxml.jackson.databind.node.ValueNode; import java.io.IOException; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import org.junit.Test; public class FlattenJson { String json = “{\n” + ” \”Port\”:\n” + … Read more

A better way to use AutoMapper to flatten nested objects?

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I much prefer avoiding the older Static methods and do it like this. Place our mapping definitions into a Profile. We map the Root first, and then apply the mappings of the Nested afterwards. Note the use of the Context. public class MappingProfile : Profile { public MappingProfile() { CreateMap<Root, Flattened>() .AfterMap((src, dest, context) => … Read more

How to Serialize Binary Tree

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All those articles talk mostly about the serialization part. The deserialization part is slightly tricky to do in one pass. I have implemented an efficient solution for deserialization too. Problem: Serialize and Deserialize a binary tree containing positive numbers. Serialization part: Use 0 to represent null. Serialize to list of integers using preorder traversal. Deserialization … Read more

Julia: Flattening array of array/tuples

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Iterators.flatten(x) creates a generator that iterates over each element of x. It can handle some of the cases you describe, eg julia> collect(Iterators.flatten([(1,2,3),[4,5],6])) 6-element Array{Any,1}: 1 2 3 4 5 6 If you have arrays of arrays of arrays and tuples, you should probably reconsider your data structure because it doesn’t sound type stable. However, … Read more

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