distance | A collection of approximate string matching algorithms | Search Engine library

I'm trying to change the following code so I get this output for radius 2:

I'm very new in MATLAB (this is my first script). I wonder how may I speed up this loop, I don't know any toolbox or 'tricks' as I'm a newbie on it. I tried to code it with instinct, it works, but it is really long.

All are variables get with fread or integer manually entered, so this is basically simple math, but I have no clue on why is it so long (maybe nested loops ?) and how to improve, as I am more familiar with Python and for example multiprocess.

Thanks a lot

I am trying to ingest JSON array data into Azure data explorer, as per this Microsoft article. (Only the JSON Array section) https://docs.microsoft.com/en-us/azure/data-explorer/ingest-json-formats?tabs=kusto-query-language

I have one table with two columns(messageId,Message) message contain json data and i want to extract this data into different columns. all of the fields from the array are just blank.

enter code here { 'data': { 'type': 'ABC', 'id': '1234567890', 'attributes': { 'event': 'update', 'logged_at': '2021-06-03T15:41:22.000Z', 'heartbeat_id': '12345678', 'gps_valid': True, 'gps': { 'distance_diff': 0.22, 'total_distance': 127.79 }, 'hdop': 12, 'fuel_level': 180.4, 'relative_position': { 'distance': '3', 'country_code': 'Uk' } },`

CODE: AMO | mv-expand data = message.data | extend type = data.type, id = data.id` }

I'm developing a simple navigator with mapbox API for Android. I'm creating some routes using https://docs.mapbox.com/playground/directions/ playground and i would like to use the generated JSON to generate a DirectionsRoute object. So i call DirectionsRoute.fromJson() but when i do it, the application crashes with this error:

Is it possible to return the entirety of data not just part of which we are grouping by?

I mean for example - I have a dataframe with 5 columns and one of those columns contains distance, the other one is timestamp and the last important one is name. I grouped dataframe by timestamp - agg function I applied is (min) on distance. As a return i get correctly grouped dataframe with timestamp and distance - how can i add columns name there. If I group it by name as well then timestamp becomes duplicated - it has to stay unique. As a final result I need to get dataframe like this:

But instead i get this:

Whole table has more than 700k rows so joining it back on distance gives me that amount of rows which my PC can't even handle.

Here is my groupby which gives me 2nd table:

grouped_df = df1.groupby('timestamp')['distance'].min()

Here is what i tried to do in order to get name inside the table:

I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.

Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:

I have a data frame like this:

Stackblitz for this problem. That's the closest I could get.

I'm using Material Drag & Drop. The result I'm looking for is to clone an item from a LIST and put into another list, which is visually an AREA, but that's the "catch", keeping the dropped "coordinates" (x,y) on that area.

That's my HTML code:

I am new to zimpl and I am currently trying to modell the GTSP. The setting is that we have nodes which are grouped into clusters. My problem is i dont know how to implement in zimpl which node belongs to which cluster.

What I did so far:

set V:= {1..6}; set A:= { in V*V with i < j};
set C:= {1,2,3};
set W:= { in C*C with p < q};
set P[]:= powerset(C); set K:= indexset(P);

I am guessing something is missing because i want to group node 1,2 in cluster 1, 3,4 in cluster 2 and 5,6 in cluster 3.

Some background Information:

Let G = (V, A) be a graph where V=1,2,...,n is the set of nodes and A = {(i, j): i, j ∈ V, i ≠ j} is the set of directed arcs (or edges), and let c_ij be the travel distance (or cost or time) from node i to node j. Let V1, V2, ... , Vk be disjoint subsets of V such that union of these subsets equals to V. These subsets are called clusters. The GTSP is to find the tour that (i) starts from a node and visits exactly one node from each cluster and turns back to the starting node (ii) never visit a node more than once and (iii) has the minimum total tour length. Associated with each arc, let x_ij be a binary variable equal to “1” if the traveler goes from node i to node j, and “0” otherwise.

Thats the mathematicl model I want to model: min∑i∈V ∑j∈V\{i} cijxij subject to: ∑i∈Vp ∑j∈V\Vp xij = 1 (p= 1, ..., k) ∑i∈V\Vp ∑j∈Vp xij = 1 (p= 1, ..., k) ∑j∈V\{i} xji − ∑j∈V\{i} xij = 0 (∀i∈V) xij∈{0,1} ∀(i, j)A up−uq+k ∑i∈Vp ∑j∈Vq xij+(k−2)∑i∈Vq ∑j∈Vp xij ≤ k−1 (p≠q;p,q=2,...,k) up≥0 (p=2, ..., k) (Thats the link for the paper: http://www.wseas.us/e-library/conferences/2012/Vouliagmeni/MMAS/MMAS-09.pdf)

Maybe someone can help! thanks