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#----------------------------------------------------------------------------
# Command line arguments.
PARSER = argparse.ArgumentParser()
PARSER.add_argument(
'--problem_instance', default=0, type=int, help='Problem instance.')
PARSER.add_argument(
'--output_proto',
default='',
help='Output file to write the cp_model proto to.')
PARSER.add_argument('--params', default='', help='Sat solver parameters.')
#----------------------------------------------------------------------------
# Intermediate solution printer
class SolutionPrinter(cp_model.CpSolverSolutionCallback):
"""Print intermediate solutions."""
def __init__(self, makespan):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__solution_count = 0
self.__makespan = makespan
def OnSolutionCallback(self):
print('Solution %i, time = %f s, objective = %i, makespan = %i' %
(self.__solution_count, self.WallTime(), self.ObjectiveValue(),
self.Value(self.__makespan)))
self.__solution_count += 1
def main(args):
"""Solves the scheduling with transitions problem."""
def __init__(self, variables):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__variables = variables
self.__solution_count = 0
In order to make this process easier, we present a mathematical
formulation that models the seating chart problem. This model can
be solved to find the optimal arrangement of guests at tables.
At the very least, it can provide a starting point and hopefully
minimize stress and arguments.
Adapted from
https://github.com/google/or-tools/blob/master/examples/csharp/wedding_optimal_chart.cs
"""
from __future__ import print_function
import time
from ortools.sat.python import cp_model
class WeddingChartPrinter(cp_model.CpSolverSolutionCallback):
"""Print intermediate solutions."""
def __init__(self, seats, names, num_tables, num_guests):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__solution_count = 0
self.__start_time = time.time()
self.__seats = seats
self.__names = names
self.__num_tables = num_tables
self.__num_guests = num_guests
def on_solution_callback(self):
current_time = time.time()
objective = self.ObjectiveValue()
print("Solution %i, time = %f s, objective = %i" %
(self.__solution_count, current_time - self.__start_time,
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Example of a simple nurse scheduling problem."""
# [START program]
# [START import]
from __future__ import print_function
from ortools.sat.python import cp_model
# [END import]
# [START solution_printer]
class NursesPartialSolutionPrinter(cp_model.CpSolverSolutionCallback):
"""Print intermediate solutions."""
def __init__(self, shifts, num_nurses, num_days, num_shifts, sols):
cp_model.CpSolverSolutionCallback.__init__(self)
self._shifts = shifts
self._num_nurses = num_nurses
self._num_days = num_days
self._num_shifts = num_shifts
self._solutions = set(sols)
self._solution_count = 0
def on_solution_callback(self):
if self._solution_count in self._solutions:
print('Solution %i' % self._solution_count)
for d in range(self._num_days):
print('Day %i' % d)
def __init__(self, wife, husband):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__wife = wife
self.__husband = husband
self.__solution_count = 0
self.__n = len(wife)
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Solves a simple shift scheduling problem."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ortools.sat.python import cp_model
class SolutionPrinter(cp_model.CpSolverSolutionCallback):
"""Print intermediate solutions."""
def __init__(self, num_vendors, num_hours, possible_schedules,
selected_schedules, hours_stat, min_vendors):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__solution_count = 0
self.__num_vendors = num_vendors
self.__num_hours = num_hours
self.__possible_schedules = possible_schedules
self.__selected_schedules = selected_schedules
self.__hours_stat = hours_stat
self.__min_vendors = min_vendors
def on_solution_callback(self):
"""Called at each new solution."""
self.__solution_count += 1