KrisYu

import Cocoa
let a = #imageLiteral(resourceName: "hot.png")

extension NSImage {
    var toCGImage: CGImage {
        var imageRect = NSRect(x: 0, y: 0, width: size.width, height: size.height)
        guard let image =  cgImage(forProposedRect: &imageRect, context: nil, hints: nil) else {
            abort()
        }
        return image

KrisYu

#!/usr/bin/env python3

# https://stackoverflow.com/questions/32892932/create-the-oriented-bounding-box-obb-with-python-and-numpy
def oobb(pts):
    '''
    given: 
    	pts, 2d or 3d
    return:
    	corners, center of the oobb
    '''

KrisYu

// plain write to image
@discardableResult func writeCGImage(_ image: CGImage, to destinationURL: URL) -> Bool {
    guard let destination = CGImageDestinationCreateWithURL(destinationURL as CFURL, kUTTypePNG, 1, nil) else { return false }
    CGImageDestinationAddImage(destination, image, nil)
    return CGImageDestinationFinalize(destination)
}


// There's a panel, save image png

KrisYu

import Cocoa

protocol DragContainerDelegate {
    func draggingEntered()
    func draggingExit()
    func draggingFileAccept(_ files: [URL])
}

// https://stackoverflow.com/questions/29233247/implementing-a-drag-and-drop-zone-in-swift
class DragContainer: NSView {

KrisYu

# https://stackoverflow.com/questions/38754668/plane-fitting-in-a-3d-point-cloud

def PCA(data, correlation = False, sort = True):
""" Applies Principal Component Analysis to the data

Parameters
----------        
data: array
    The array containing the data. The array must have NxM dimensions, where each
    of the N rows represents a different individual record and each of the M columns

KrisYu

# https://stackoverflow.com/questions/15753701/how-can-i-pass-a-list-as-a-command-line-argument-with-argparse

import argparse

parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input',type = str, default = "sample.json")
parser.add_argument( "-l","--list", nargs="*", type=int, default=[0,1,2])

args = parser.parse_args()

KrisYu

def read_data_from_file( filename ):
    with open(filename, 'r') as json_file:
        data = json.load(json_file)
    return data

KrisYu

# https://stackoverflow.com/questions/48609781/distance-between-one-point-and-rest-of-the-points-in-an-array/48610147

from scipy.spatial import distance

X = [(35.0456, -85.2672)]
coords = [(35.1174, -89.9711),
          (35.9728, -83.9422),
          (36.1667, -86.7833)]
distance.cdist(X, coords, 'euclidean')
array([[ 4.70444794,  1.6171966 ,  1.88558331]])

KrisYu

import os

files = os.listdir()
# files is a string list

for filename in files:
    print(filename)

 
# https://askubuntu.com/questions/443830/delete-all-files-whose-filenames-contain-a-particular-string

KrisYu

with open('filename') as f:
  lines = f.readlines()

    
with open('write','w') as f:
  f.write('Hello\n')