”’ jsondict = { “condition”: “AND”, “rules”: [ { “id”: “price”, “field”: “price”, “type”: “double”, “input”: “number”, “operator”: “less”, “value”: 10.25 }, { “condition”: “OR”, “rules”: [ { “id”: “category”, “field”: “category”, “type”: “integer”, “input”: “select”, “operator”: “equal”, “value”: 2 }, { “id”: “category”, “field”: “category”, “type”: “integer”, “input”: “select”, “operator”: “equal”, “value”: 1 } ] } ] } ”’
Tag: recursion
How to write a search function to get the path of the desired file?
I have a directory structure that looks like the image. This structure is organised in a form of objects. File objects are each in the form: {type:’file’, name:’file a1′} for example. Folderobjects are like File objects, but they have an extra key children which is an array of sub folders/files. Here’s a console log of the rootFolder object from the
Strictly Increasing Path in Grid with Python
At each step we can go the one of the left,right,up or down cells only if the that cell is strictly greater thab our current cell. (We cannot move diagonally). We want to find all the paths that we can go from the top-left cell to the bottom-right cell. [[1,4,3], [5,6,7]] In our example, these paths are 1->4->6->7 and 1->5->6->7.
Using recursion to concatenate two strings
My goal is to concatenate two strings using recursion. The input would be str1 = (“long string”) str2 = (“yes so long”) and the output would be: ‘lyoensg ssto rlionngg’ Assumptions are that both strings are the same length. My code as of now is: Im sure Im no where close but I am struggling with making it loop. I
get all values by a specific key in a deep nested dict using python
so my goal is to get all the id’s which are [1,2,4,5,12,14]. is there any way to get that using a recursive function or in an another way? Answer You can use recursion. If dct is your dictionary from the question, then: Prints:
(python) quicksort working for ordered data, but not for unordered data
I am working on an implementation of recursive quicksort in python. I am working with very large data sets (10,000 – 1,000,000 elements). When feeding it ordered data (i.e. changing an array sorted from largest -> smallest to smallest -> largest) it works fine. But when giving it unordered data, it doesn’t seem to work at all. I’m using a
Iterating over nested dictionary returns only first element
I have this nested dictionary (“dictionary of dictionaries”) And I want to create a new one which would consist of outer keys associated with inner values (see expected output below) I use this recursive function: But when I try to print that: I get this (only the first dictionary is processed: But I would like to have something like this
Why is this (presumably more efficient) dynamic algorithm being outperformed by the naive recursive version?
I have the following problem as homework: Write a O(N^2) algorithm to determine whether the string can be broken into a list of words. You can start by writing an exponential algorithm and then using dynamic programming to improve the runtime complexity. The naive exponential algorithm which I started out with is this: I then adapted this into the following
Convert a recursive python code to a non-recursive version
The code provided here works unless we start to increase the distinct and n-symbols and length, for example, on my computer n_symbols=512, length=512, distinct=300 ends up with this error RecursionError: maximum recursion depth exceeded in comparison and then overflow errors if I increase the lru_cache value. What I want is to have a non-recursive version of this code. Then runs
Return the smallest circle in the from the list of circles
I am working with recursions in python. I have two functions r(coord) that returns the radius of a circle with the center at the given coordinates and inside(coord) that returns the set of centers of all circles directly inside the circle with the given center. I want to calculate the surface of all circles and I want to return the