pythonnumpy
Ben Gorman

Ben Gorman

Life's a garden. Dig it.

You own a taco truck that's open 24/7 and manage five employees who run it. Employees work solo, eight-hour shifts. You decide the best way to set their schedule for the upcoming week is to create a bunch of random schedules and select one that looks best.

You build a 1000x21 array of random employee ids where element (i,j) gives the employee id working shift j for schedule i.

import numpy as np
 
generator = np.random.default_rng(999)
schedules = generator.integers(low=0, high=5, size=(1000, 21))
 
print(schedules)
# [[4 3 0 ... 2 0 0]
#  [2 4 3 ... 3 3 2]
#  [1 0 1 ... 1 2 1]
#  ...
#  [2 2 1 ... 3 1 4]
#  [1 0 3 ... 2 3 2]
#  [1 1 4 ... 2 4 2]]

A Schedule is valid as long as no employee works two consecutive shifts. Get the row indices of all valid schedules.

Try with Google Colab :material-open-in-new:


Solution

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