update python code, remove __future__ imports, remove six, use absl-py for flags, update examples
This commit is contained in:
@@ -16,21 +16,31 @@ This models aims at building a sequence of numbers such that the number of
|
||||
occurrences of i in this sequence is equal to the value of the ith number.
|
||||
It uses an aggregated formulation of the count expression called
|
||||
distribute().
|
||||
"""
|
||||
from __future__ import print_function
|
||||
|
||||
Usage: python magic_sequence_distribute.py NUMBER
|
||||
"""
|
||||
|
||||
from absl import app
|
||||
from absl import flags
|
||||
from ortools.constraint_solver import pywrapcp
|
||||
|
||||
FLAGS = flags.FLAGS
|
||||
|
||||
def main():
|
||||
|
||||
def main(argv):
|
||||
# Create the solver.
|
||||
solver = pywrapcp.Solver('magic sequence')
|
||||
|
||||
size = 100
|
||||
# Create an array of IntVars to hold the answers.
|
||||
size = int(argv[1]) if len(argv) > 1 else 100
|
||||
all_values = list(range(0, size))
|
||||
all_vars = [solver.IntVar(0, size, 'vars_%d' % i) for i in all_values]
|
||||
|
||||
# The number of variables equal to j shall be the value of all_vars[j].
|
||||
solver.Add(solver.Distribute(all_vars, all_values, all_vars))
|
||||
|
||||
# The sum of all the values shall be equal to the size.
|
||||
# (This constraint is redundant, but speeds up the search.)
|
||||
solver.Add(solver.Sum(all_vars) == size)
|
||||
|
||||
solver.NewSearch(
|
||||
@@ -42,4 +52,4 @@ def main():
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
app.run(main)
|
||||
|
||||
Reference in New Issue
Block a user