Show current best skeleton while calculating

So long as verbose mode is not active, the script will now display the
current skeleton as it tries to search for more solutions.

This feature uses the curses module to create an alternate screen, so
intermediate solutions are not sent to standard output.
This commit is contained in:
Jeremy Saklad 2021-06-15 16:50:28 -05:00
parent b75d412cb7
commit 3b13e9c25f
Signed by: Jeremy Saklad
GPG Key ID: 9CA2149583EDBF84

View File

@ -2,6 +2,7 @@ import functools
import enum
import os
import argparse
import curses
from enum import auto
from ortools.sat.python import cp_model
@ -1145,7 +1146,7 @@ class Fluctuation(enum.Enum):
AMALGAMY = 2
def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maximum_cost = cp_model.INT32_MAX, maximum_exhaustion = cp_model.INT32_MAX, verbose = False):
def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maximum_cost = cp_model.INT32_MAX, maximum_exhaustion = cp_model.INT32_MAX, stdscr = None):
model = cp_model.CpModel()
actions = {}
@ -2060,9 +2061,15 @@ def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maxi
def OnSolutionCallback(self):
self.__solution_count += 1
print()
print(self.PrintableSolution())
print()
# Prints current solution to window
stdscr.clear()
stdscr.addstr(self.PrintableSolution())
stdscr.addstr(stdscr.getmaxyx()[0] - 1, 0, "Skeleton #{:n}".format(self.__solution_count))
stdscr.refresh()
def SolutionCount(self):
return self.__solution_count
@ -2072,9 +2079,16 @@ def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maxi
solver = cp_model.CpSolver()
solver.parameters.num_search_workers = os.cpu_count()
solver.parameters.log_search_progress = verbose
status = solver.StatusName(solver.Solve(model))
# There's no window in verbose mode
if stdscr is None:
solver.parameters.log_search_progress = True
solver.Solve(model)
else:
solver.SolveWithSolutionCallback(model, printer)
status = solver.StatusName()
if status == "INFEASIBLE":
raise RuntimeError("There is no satisfactory skeleton.")
elif status == "FEASIBLE":
@ -2082,8 +2096,7 @@ def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maxi
elif status != "OPTIMAL":
raise RuntimeError("Unknown status returned: {}.".format(status))
print()
print(printer.PrintableSolution(solver))
return printer.PrintableSolution(solver)
class EnumAction(argparse.Action):
@ -2149,13 +2162,21 @@ def main():
const='True',
default=False,
type=bool,
help='whether the solver should output progress',
help='whether the solver should output search progress rather than showing intermediate solutions',
dest='verbose'
)
args = parser.parse_args()
Solve(args.bone_market_fluctuations, args.zoological_mania, args.desired_buyer, args.maximum_cost, args.maximum_exhaustion, args.verbose)
arguments = (args.bone_market_fluctuations, args.zoological_mania, args.desired_buyer, args.maximum_cost, args.maximum_exhaustion)
if not args.verbose:
def WrappedSolve(stdscr, arguments):
# Move stdscr to last position
return Solve(*arguments, stdscr)
print(curses.wrapper(WrappedSolve, arguments))
else:
print(Solve(*arguments))
main()