diff --git a/examples/notebook/algorithms/knapsack.ipynb b/examples/notebook/algorithms/knapsack.ipynb
index d0909076d1..9d430ded3b 100644
--- a/examples/notebook/algorithms/knapsack.ipynb
+++ b/examples/notebook/algorithms/knapsack.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/algorithms/simple_knapsack_program.ipynb b/examples/notebook/algorithms/simple_knapsack_program.ipynb
index eefae5c088..2db82375a3 100644
--- a/examples/notebook/algorithms/simple_knapsack_program.ipynb
+++ b/examples/notebook/algorithms/simple_knapsack_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/cp_is_fun_cp.ipynb b/examples/notebook/constraint_solver/cp_is_fun_cp.ipynb
index eccca4c830..bbddc10de8 100644
--- a/examples/notebook/constraint_solver/cp_is_fun_cp.ipynb
+++ b/examples/notebook/constraint_solver/cp_is_fun_cp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/cvrp_reload.ipynb b/examples/notebook/constraint_solver/cvrp_reload.ipynb
index b318cfbb69..f90b37dbd9 100644
--- a/examples/notebook/constraint_solver/cvrp_reload.ipynb
+++ b/examples/notebook/constraint_solver/cvrp_reload.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/cvrptw_break.ipynb b/examples/notebook/constraint_solver/cvrptw_break.ipynb
index c037cccd8c..f4b6ecef83 100644
--- a/examples/notebook/constraint_solver/cvrptw_break.ipynb
+++ b/examples/notebook/constraint_solver/cvrptw_break.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/nqueens_cp.ipynb b/examples/notebook/constraint_solver/nqueens_cp.ipynb
index 49b80d9f05..52e67137ae 100644
--- a/examples/notebook/constraint_solver/nqueens_cp.ipynb
+++ b/examples/notebook/constraint_solver/nqueens_cp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/simple_cp_program.ipynb b/examples/notebook/constraint_solver/simple_cp_program.ipynb
index 93ab4f5c14..e57f62343f 100644
--- a/examples/notebook/constraint_solver/simple_cp_program.ipynb
+++ b/examples/notebook/constraint_solver/simple_cp_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/simple_routing_program.ipynb b/examples/notebook/constraint_solver/simple_routing_program.ipynb
index 3364e5d764..57ebd7a1e8 100644
--- a/examples/notebook/constraint_solver/simple_routing_program.ipynb
+++ b/examples/notebook/constraint_solver/simple_routing_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/tsp.ipynb b/examples/notebook/constraint_solver/tsp.ipynb
index 53687bdf71..326c9f83a9 100644
--- a/examples/notebook/constraint_solver/tsp.ipynb
+++ b/examples/notebook/constraint_solver/tsp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/tsp_circuit_board.ipynb b/examples/notebook/constraint_solver/tsp_circuit_board.ipynb
index 0f70f7e4cc..76e86f1d79 100644
--- a/examples/notebook/constraint_solver/tsp_circuit_board.ipynb
+++ b/examples/notebook/constraint_solver/tsp_circuit_board.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/tsp_cities.ipynb b/examples/notebook/constraint_solver/tsp_cities.ipynb
index 8aee9a21ea..c759d138b8 100644
--- a/examples/notebook/constraint_solver/tsp_cities.ipynb
+++ b/examples/notebook/constraint_solver/tsp_cities.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/tsp_distance_matrix.ipynb b/examples/notebook/constraint_solver/tsp_distance_matrix.ipynb
index 1dc0c99fbe..0a32bfc5f8 100644
--- a/examples/notebook/constraint_solver/tsp_distance_matrix.ipynb
+++ b/examples/notebook/constraint_solver/tsp_distance_matrix.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp.ipynb b/examples/notebook/constraint_solver/vrp.ipynb
index 602ee59995..6512432a1d 100644
--- a/examples/notebook/constraint_solver/vrp.ipynb
+++ b/examples/notebook/constraint_solver/vrp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_breaks.ipynb b/examples/notebook/constraint_solver/vrp_breaks.ipynb
index 82f30a29b7..ae15252c87 100644
--- a/examples/notebook/constraint_solver/vrp_breaks.ipynb
+++ b/examples/notebook/constraint_solver/vrp_breaks.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_breaks_from_start.ipynb b/examples/notebook/constraint_solver/vrp_breaks_from_start.ipynb
index 82119980d1..855235963a 100644
--- a/examples/notebook/constraint_solver/vrp_breaks_from_start.ipynb
+++ b/examples/notebook/constraint_solver/vrp_breaks_from_start.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_capacity.ipynb b/examples/notebook/constraint_solver/vrp_capacity.ipynb
index e0b7e7d827..2e4465fa3d 100644
--- a/examples/notebook/constraint_solver/vrp_capacity.ipynb
+++ b/examples/notebook/constraint_solver/vrp_capacity.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_drop_nodes.ipynb b/examples/notebook/constraint_solver/vrp_drop_nodes.ipynb
index 73e72be25b..459e2fed81 100644
--- a/examples/notebook/constraint_solver/vrp_drop_nodes.ipynb
+++ b/examples/notebook/constraint_solver/vrp_drop_nodes.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_global_span.ipynb b/examples/notebook/constraint_solver/vrp_global_span.ipynb
index a62cfe957e..b9278678ec 100644
--- a/examples/notebook/constraint_solver/vrp_global_span.ipynb
+++ b/examples/notebook/constraint_solver/vrp_global_span.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_initial_routes.ipynb b/examples/notebook/constraint_solver/vrp_initial_routes.ipynb
index 5051d3f932..bfe860c563 100644
--- a/examples/notebook/constraint_solver/vrp_initial_routes.ipynb
+++ b/examples/notebook/constraint_solver/vrp_initial_routes.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_items_to_deliver.ipynb b/examples/notebook/constraint_solver/vrp_items_to_deliver.ipynb
index a7a0ca637f..e860236575 100644
--- a/examples/notebook/constraint_solver/vrp_items_to_deliver.ipynb
+++ b/examples/notebook/constraint_solver/vrp_items_to_deliver.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_node_max.ipynb b/examples/notebook/constraint_solver/vrp_node_max.ipynb
index aff7fe46df..bcd9e8c958 100644
--- a/examples/notebook/constraint_solver/vrp_node_max.ipynb
+++ b/examples/notebook/constraint_solver/vrp_node_max.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_nodes_indices.ipynb b/examples/notebook/constraint_solver/vrp_nodes_indices.ipynb
index fd58b697c6..9e93d6ea8c 100644
--- a/examples/notebook/constraint_solver/vrp_nodes_indices.ipynb
+++ b/examples/notebook/constraint_solver/vrp_nodes_indices.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_pickup_delivery.ipynb b/examples/notebook/constraint_solver/vrp_pickup_delivery.ipynb
index c0a36bb5b7..1f6aa3be6c 100644
--- a/examples/notebook/constraint_solver/vrp_pickup_delivery.ipynb
+++ b/examples/notebook/constraint_solver/vrp_pickup_delivery.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_pickup_delivery_fifo.ipynb b/examples/notebook/constraint_solver/vrp_pickup_delivery_fifo.ipynb
index 624902ef79..6a4154e113 100644
--- a/examples/notebook/constraint_solver/vrp_pickup_delivery_fifo.ipynb
+++ b/examples/notebook/constraint_solver/vrp_pickup_delivery_fifo.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_pickup_delivery_lifo.ipynb b/examples/notebook/constraint_solver/vrp_pickup_delivery_lifo.ipynb
index ab1ceadbd0..369b896a12 100644
--- a/examples/notebook/constraint_solver/vrp_pickup_delivery_lifo.ipynb
+++ b/examples/notebook/constraint_solver/vrp_pickup_delivery_lifo.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_resources.ipynb b/examples/notebook/constraint_solver/vrp_resources.ipynb
index 527bd11da9..026cc370da 100644
--- a/examples/notebook/constraint_solver/vrp_resources.ipynb
+++ b/examples/notebook/constraint_solver/vrp_resources.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_solution_callback.ipynb b/examples/notebook/constraint_solver/vrp_solution_callback.ipynb
index 443b3e7449..571575c57f 100644
--- a/examples/notebook/constraint_solver/vrp_solution_callback.ipynb
+++ b/examples/notebook/constraint_solver/vrp_solution_callback.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_starts_ends.ipynb b/examples/notebook/constraint_solver/vrp_starts_ends.ipynb
index 950cde4d9f..de86e7addd 100644
--- a/examples/notebook/constraint_solver/vrp_starts_ends.ipynb
+++ b/examples/notebook/constraint_solver/vrp_starts_ends.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_time_windows.ipynb b/examples/notebook/constraint_solver/vrp_time_windows.ipynb
index d23624b613..1796e779b8 100644
--- a/examples/notebook/constraint_solver/vrp_time_windows.ipynb
+++ b/examples/notebook/constraint_solver/vrp_time_windows.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_time_windows_per_vehicles.ipynb b/examples/notebook/constraint_solver/vrp_time_windows_per_vehicles.ipynb
index 7d54cffabe..f0326c598b 100644
--- a/examples/notebook/constraint_solver/vrp_time_windows_per_vehicles.ipynb
+++ b/examples/notebook/constraint_solver/vrp_time_windows_per_vehicles.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_tokens.ipynb b/examples/notebook/constraint_solver/vrp_tokens.ipynb
index 1f15db2f8c..773461b26e 100644
--- a/examples/notebook/constraint_solver/vrp_tokens.ipynb
+++ b/examples/notebook/constraint_solver/vrp_tokens.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrp_with_time_limit.ipynb b/examples/notebook/constraint_solver/vrp_with_time_limit.ipynb
index 94a86a864f..870e8efc7a 100644
--- a/examples/notebook/constraint_solver/vrp_with_time_limit.ipynb
+++ b/examples/notebook/constraint_solver/vrp_with_time_limit.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/constraint_solver/vrptw_store_solution_data.ipynb b/examples/notebook/constraint_solver/vrptw_store_solution_data.ipynb
index aa88a63202..41e60a55a1 100644
--- a/examples/notebook/constraint_solver/vrptw_store_solution_data.ipynb
+++ b/examples/notebook/constraint_solver/vrptw_store_solution_data.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/3_jugs_mip.ipynb b/examples/notebook/contrib/3_jugs_mip.ipynb
index ee8a8251b8..bc0c4ce243 100644
--- a/examples/notebook/contrib/3_jugs_mip.ipynb
+++ b/examples/notebook/contrib/3_jugs_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/3_jugs_regular.ipynb b/examples/notebook/contrib/3_jugs_regular.ipynb
index d09dc39bfc..4b5cdeeba0 100644
--- a/examples/notebook/contrib/3_jugs_regular.ipynb
+++ b/examples/notebook/contrib/3_jugs_regular.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/a_round_of_golf.ipynb b/examples/notebook/contrib/a_round_of_golf.ipynb
index f661c46724..53e4401a64 100644
--- a/examples/notebook/contrib/a_round_of_golf.ipynb
+++ b/examples/notebook/contrib/a_round_of_golf.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/all_interval.ipynb b/examples/notebook/contrib/all_interval.ipynb
index 6238de5ca9..54070f3662 100644
--- a/examples/notebook/contrib/all_interval.ipynb
+++ b/examples/notebook/contrib/all_interval.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/alldifferent_except_0.ipynb b/examples/notebook/contrib/alldifferent_except_0.ipynb
index 287ca64cd1..a4b7f0ef4f 100644
--- a/examples/notebook/contrib/alldifferent_except_0.ipynb
+++ b/examples/notebook/contrib/alldifferent_except_0.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/alphametic.ipynb b/examples/notebook/contrib/alphametic.ipynb
index d6184c59a8..da69bc36e7 100644
--- a/examples/notebook/contrib/alphametic.ipynb
+++ b/examples/notebook/contrib/alphametic.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/assignment.ipynb b/examples/notebook/contrib/assignment.ipynb
index 8bc379abec..5c6c316bf7 100644
--- a/examples/notebook/contrib/assignment.ipynb
+++ b/examples/notebook/contrib/assignment.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/assignment6_mip.ipynb b/examples/notebook/contrib/assignment6_mip.ipynb
index 1fbb2d5243..81b7a831cf 100644
--- a/examples/notebook/contrib/assignment6_mip.ipynb
+++ b/examples/notebook/contrib/assignment6_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/bacp.ipynb b/examples/notebook/contrib/bacp.ipynb
index 82ff8d3542..f7e01f2a3d 100644
--- a/examples/notebook/contrib/bacp.ipynb
+++ b/examples/notebook/contrib/bacp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/blending.ipynb b/examples/notebook/contrib/blending.ipynb
index 4be44edc8b..8f999b1e98 100644
--- a/examples/notebook/contrib/blending.ipynb
+++ b/examples/notebook/contrib/blending.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/broken_weights.ipynb b/examples/notebook/contrib/broken_weights.ipynb
index 8c3e1f4460..641f2dbbac 100644
--- a/examples/notebook/contrib/broken_weights.ipynb
+++ b/examples/notebook/contrib/broken_weights.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/bus_schedule.ipynb b/examples/notebook/contrib/bus_schedule.ipynb
index eb98ba762a..d10280c607 100644
--- a/examples/notebook/contrib/bus_schedule.ipynb
+++ b/examples/notebook/contrib/bus_schedule.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/car.ipynb b/examples/notebook/contrib/car.ipynb
index 7933e3f9de..f2582c5aaf 100644
--- a/examples/notebook/contrib/car.ipynb
+++ b/examples/notebook/contrib/car.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/check_dependencies.ipynb b/examples/notebook/contrib/check_dependencies.ipynb
index e5c203bb29..e7460d693f 100644
--- a/examples/notebook/contrib/check_dependencies.ipynb
+++ b/examples/notebook/contrib/check_dependencies.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/circuit.ipynb b/examples/notebook/contrib/circuit.ipynb
index 4dc7eec26a..5c0d3b996d 100644
--- a/examples/notebook/contrib/circuit.ipynb
+++ b/examples/notebook/contrib/circuit.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/coins3.ipynb b/examples/notebook/contrib/coins3.ipynb
index f22afa819a..2acc61bf25 100644
--- a/examples/notebook/contrib/coins3.ipynb
+++ b/examples/notebook/contrib/coins3.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/coins_grid.ipynb b/examples/notebook/contrib/coins_grid.ipynb
index 9d5286172f..25ac1f2ef8 100644
--- a/examples/notebook/contrib/coins_grid.ipynb
+++ b/examples/notebook/contrib/coins_grid.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/coins_grid_mip.ipynb b/examples/notebook/contrib/coins_grid_mip.ipynb
index f0a146e73d..89be73fe5f 100644
--- a/examples/notebook/contrib/coins_grid_mip.ipynb
+++ b/examples/notebook/contrib/coins_grid_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/coloring_ip.ipynb b/examples/notebook/contrib/coloring_ip.ipynb
index bebf939dca..0c4733271b 100644
--- a/examples/notebook/contrib/coloring_ip.ipynb
+++ b/examples/notebook/contrib/coloring_ip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/combinatorial_auction2.ipynb b/examples/notebook/contrib/combinatorial_auction2.ipynb
index 3513d029b5..fde253c500 100644
--- a/examples/notebook/contrib/combinatorial_auction2.ipynb
+++ b/examples/notebook/contrib/combinatorial_auction2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/contiguity_regular.ipynb b/examples/notebook/contrib/contiguity_regular.ipynb
index 0ba85444d2..33011747c6 100644
--- a/examples/notebook/contrib/contiguity_regular.ipynb
+++ b/examples/notebook/contrib/contiguity_regular.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/costas_array.ipynb b/examples/notebook/contrib/costas_array.ipynb
index 71ee63633d..a14993b9c9 100644
--- a/examples/notebook/contrib/costas_array.ipynb
+++ b/examples/notebook/contrib/costas_array.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/covering_opl.ipynb b/examples/notebook/contrib/covering_opl.ipynb
index 26dd09df98..45024be9d3 100644
--- a/examples/notebook/contrib/covering_opl.ipynb
+++ b/examples/notebook/contrib/covering_opl.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/crew.ipynb b/examples/notebook/contrib/crew.ipynb
index a9434f07e4..cff12bc40e 100644
--- a/examples/notebook/contrib/crew.ipynb
+++ b/examples/notebook/contrib/crew.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/crossword2.ipynb b/examples/notebook/contrib/crossword2.ipynb
index 9b1d5bec3d..3bced776ea 100644
--- a/examples/notebook/contrib/crossword2.ipynb
+++ b/examples/notebook/contrib/crossword2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/crypta.ipynb b/examples/notebook/contrib/crypta.ipynb
index ab01f2af06..7c659f09bd 100644
--- a/examples/notebook/contrib/crypta.ipynb
+++ b/examples/notebook/contrib/crypta.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/crypto.ipynb b/examples/notebook/contrib/crypto.ipynb
index 1fb774b8a7..8a4c505b75 100644
--- a/examples/notebook/contrib/crypto.ipynb
+++ b/examples/notebook/contrib/crypto.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/curious_set_of_integers.ipynb b/examples/notebook/contrib/curious_set_of_integers.ipynb
index 9e3549413e..882151fc2e 100644
--- a/examples/notebook/contrib/curious_set_of_integers.ipynb
+++ b/examples/notebook/contrib/curious_set_of_integers.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/debruijn_binary.ipynb b/examples/notebook/contrib/debruijn_binary.ipynb
index 55b7012b6a..820c777dba 100644
--- a/examples/notebook/contrib/debruijn_binary.ipynb
+++ b/examples/notebook/contrib/debruijn_binary.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/diet1.ipynb b/examples/notebook/contrib/diet1.ipynb
index 583e600895..948da29917 100644
--- a/examples/notebook/contrib/diet1.ipynb
+++ b/examples/notebook/contrib/diet1.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/diet1_b.ipynb b/examples/notebook/contrib/diet1_b.ipynb
index 398efbbbd1..b0c692160b 100644
--- a/examples/notebook/contrib/diet1_b.ipynb
+++ b/examples/notebook/contrib/diet1_b.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/diet1_mip.ipynb b/examples/notebook/contrib/diet1_mip.ipynb
index a272b6741e..ba426559fd 100644
--- a/examples/notebook/contrib/diet1_mip.ipynb
+++ b/examples/notebook/contrib/diet1_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/discrete_tomography.ipynb b/examples/notebook/contrib/discrete_tomography.ipynb
index 702065109b..551757a260 100644
--- a/examples/notebook/contrib/discrete_tomography.ipynb
+++ b/examples/notebook/contrib/discrete_tomography.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/divisible_by_9_through_1.ipynb b/examples/notebook/contrib/divisible_by_9_through_1.ipynb
index 5c3fa505a4..e4df8c6810 100644
--- a/examples/notebook/contrib/divisible_by_9_through_1.ipynb
+++ b/examples/notebook/contrib/divisible_by_9_through_1.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/dudeney.ipynb b/examples/notebook/contrib/dudeney.ipynb
index a06fa46c92..841542197d 100644
--- a/examples/notebook/contrib/dudeney.ipynb
+++ b/examples/notebook/contrib/dudeney.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/einav_puzzle.ipynb b/examples/notebook/contrib/einav_puzzle.ipynb
index 1e561ba719..fb10e72c6f 100644
--- a/examples/notebook/contrib/einav_puzzle.ipynb
+++ b/examples/notebook/contrib/einav_puzzle.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/einav_puzzle2.ipynb b/examples/notebook/contrib/einav_puzzle2.ipynb
index cf73b64ec7..1c14453eb2 100644
--- a/examples/notebook/contrib/einav_puzzle2.ipynb
+++ b/examples/notebook/contrib/einav_puzzle2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/eq10.ipynb b/examples/notebook/contrib/eq10.ipynb
index 8d73138164..59bab8f057 100644
--- a/examples/notebook/contrib/eq10.ipynb
+++ b/examples/notebook/contrib/eq10.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/eq20.ipynb b/examples/notebook/contrib/eq20.ipynb
index 14d4315247..c9fc2dabd6 100644
--- a/examples/notebook/contrib/eq20.ipynb
+++ b/examples/notebook/contrib/eq20.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/fill_a_pix.ipynb b/examples/notebook/contrib/fill_a_pix.ipynb
index 91a8780ac6..88f31c747b 100644
--- a/examples/notebook/contrib/fill_a_pix.ipynb
+++ b/examples/notebook/contrib/fill_a_pix.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/furniture_moving.ipynb b/examples/notebook/contrib/furniture_moving.ipynb
index 71ff8a961a..eb3b35036e 100644
--- a/examples/notebook/contrib/furniture_moving.ipynb
+++ b/examples/notebook/contrib/furniture_moving.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/futoshiki.ipynb b/examples/notebook/contrib/futoshiki.ipynb
index 00719e963b..9789b29bee 100644
--- a/examples/notebook/contrib/futoshiki.ipynb
+++ b/examples/notebook/contrib/futoshiki.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/game_theory_taha.ipynb b/examples/notebook/contrib/game_theory_taha.ipynb
index d24c0a2f3a..3de60774aa 100644
--- a/examples/notebook/contrib/game_theory_taha.ipynb
+++ b/examples/notebook/contrib/game_theory_taha.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/grocery.ipynb b/examples/notebook/contrib/grocery.ipynb
index 7c342809f0..2fdfbb61d1 100644
--- a/examples/notebook/contrib/grocery.ipynb
+++ b/examples/notebook/contrib/grocery.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/hidato.ipynb b/examples/notebook/contrib/hidato.ipynb
index 7443716a85..942aa78428 100644
--- a/examples/notebook/contrib/hidato.ipynb
+++ b/examples/notebook/contrib/hidato.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/just_forgotten.ipynb b/examples/notebook/contrib/just_forgotten.ipynb
index d21153566d..888f3163f2 100644
--- a/examples/notebook/contrib/just_forgotten.ipynb
+++ b/examples/notebook/contrib/just_forgotten.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/kakuro.ipynb b/examples/notebook/contrib/kakuro.ipynb
index 7d2ee5b163..fa524843b3 100644
--- a/examples/notebook/contrib/kakuro.ipynb
+++ b/examples/notebook/contrib/kakuro.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/kenken2.ipynb b/examples/notebook/contrib/kenken2.ipynb
index 156c4628d0..eace922e2e 100644
--- a/examples/notebook/contrib/kenken2.ipynb
+++ b/examples/notebook/contrib/kenken2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/killer_sudoku.ipynb b/examples/notebook/contrib/killer_sudoku.ipynb
index d4b450e100..7b8e84e06d 100644
--- a/examples/notebook/contrib/killer_sudoku.ipynb
+++ b/examples/notebook/contrib/killer_sudoku.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/knapsack_cp.ipynb b/examples/notebook/contrib/knapsack_cp.ipynb
index 79c306fce8..f4c10df6c2 100644
--- a/examples/notebook/contrib/knapsack_cp.ipynb
+++ b/examples/notebook/contrib/knapsack_cp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/knapsack_mip.ipynb b/examples/notebook/contrib/knapsack_mip.ipynb
index ee9d0c12ef..7e3531fb97 100644
--- a/examples/notebook/contrib/knapsack_mip.ipynb
+++ b/examples/notebook/contrib/knapsack_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/labeled_dice.ipynb b/examples/notebook/contrib/labeled_dice.ipynb
index e7db02b0a7..b1c3345a49 100644
--- a/examples/notebook/contrib/labeled_dice.ipynb
+++ b/examples/notebook/contrib/labeled_dice.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/langford.ipynb b/examples/notebook/contrib/langford.ipynb
index 6ac7a6083a..1ce419ecd2 100644
--- a/examples/notebook/contrib/langford.ipynb
+++ b/examples/notebook/contrib/langford.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/least_diff.ipynb b/examples/notebook/contrib/least_diff.ipynb
index e41126ba4e..34ac0ff016 100644
--- a/examples/notebook/contrib/least_diff.ipynb
+++ b/examples/notebook/contrib/least_diff.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/least_square.ipynb b/examples/notebook/contrib/least_square.ipynb
index e9d11d9d01..469d07772d 100644
--- a/examples/notebook/contrib/least_square.ipynb
+++ b/examples/notebook/contrib/least_square.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/lectures.ipynb b/examples/notebook/contrib/lectures.ipynb
index a17cfbb0c0..dc7c4c4354 100644
--- a/examples/notebook/contrib/lectures.ipynb
+++ b/examples/notebook/contrib/lectures.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/magic_sequence_sat.ipynb b/examples/notebook/contrib/magic_sequence_sat.ipynb
index d082364a40..1093abee03 100644
--- a/examples/notebook/contrib/magic_sequence_sat.ipynb
+++ b/examples/notebook/contrib/magic_sequence_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/magic_square.ipynb b/examples/notebook/contrib/magic_square.ipynb
index 8d4cf7bb09..e33cf54121 100644
--- a/examples/notebook/contrib/magic_square.ipynb
+++ b/examples/notebook/contrib/magic_square.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/magic_square_and_cards.ipynb b/examples/notebook/contrib/magic_square_and_cards.ipynb
index 6bc65edccc..feb9bee0df 100644
--- a/examples/notebook/contrib/magic_square_and_cards.ipynb
+++ b/examples/notebook/contrib/magic_square_and_cards.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/magic_square_mip.ipynb b/examples/notebook/contrib/magic_square_mip.ipynb
index 3b4ada6779..7dd7edd998 100644
--- a/examples/notebook/contrib/magic_square_mip.ipynb
+++ b/examples/notebook/contrib/magic_square_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/map.ipynb b/examples/notebook/contrib/map.ipynb
index df84f637ef..6f383791cf 100644
--- a/examples/notebook/contrib/map.ipynb
+++ b/examples/notebook/contrib/map.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/marathon2.ipynb b/examples/notebook/contrib/marathon2.ipynb
index 6d35184652..d3581cd2f9 100644
--- a/examples/notebook/contrib/marathon2.ipynb
+++ b/examples/notebook/contrib/marathon2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/max_flow_taha.ipynb b/examples/notebook/contrib/max_flow_taha.ipynb
index d52cf2acec..7913958490 100644
--- a/examples/notebook/contrib/max_flow_taha.ipynb
+++ b/examples/notebook/contrib/max_flow_taha.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/max_flow_winston1.ipynb b/examples/notebook/contrib/max_flow_winston1.ipynb
index 4eb9f3dea2..462d0999f3 100644
--- a/examples/notebook/contrib/max_flow_winston1.ipynb
+++ b/examples/notebook/contrib/max_flow_winston1.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/minesweeper.ipynb b/examples/notebook/contrib/minesweeper.ipynb
index 0e008b1c07..236b8cbc8c 100644
--- a/examples/notebook/contrib/minesweeper.ipynb
+++ b/examples/notebook/contrib/minesweeper.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/mr_smith.ipynb b/examples/notebook/contrib/mr_smith.ipynb
index 76f57a97cb..0767bedb00 100644
--- a/examples/notebook/contrib/mr_smith.ipynb
+++ b/examples/notebook/contrib/mr_smith.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nonogram_default_search.ipynb b/examples/notebook/contrib/nonogram_default_search.ipynb
index c9a0abf4c8..17665e777a 100644
--- a/examples/notebook/contrib/nonogram_default_search.ipynb
+++ b/examples/notebook/contrib/nonogram_default_search.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nonogram_regular.ipynb b/examples/notebook/contrib/nonogram_regular.ipynb
index 12b3bc9ece..01edff0a1e 100644
--- a/examples/notebook/contrib/nonogram_regular.ipynb
+++ b/examples/notebook/contrib/nonogram_regular.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nonogram_table.ipynb b/examples/notebook/contrib/nonogram_table.ipynb
index aba767b93e..0de937699c 100644
--- a/examples/notebook/contrib/nonogram_table.ipynb
+++ b/examples/notebook/contrib/nonogram_table.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nonogram_table2.ipynb b/examples/notebook/contrib/nonogram_table2.ipynb
index ad25175beb..d7dfa8fb54 100644
--- a/examples/notebook/contrib/nonogram_table2.ipynb
+++ b/examples/notebook/contrib/nonogram_table2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nontransitive_dice.ipynb b/examples/notebook/contrib/nontransitive_dice.ipynb
index d5fa172d43..da3cd48537 100644
--- a/examples/notebook/contrib/nontransitive_dice.ipynb
+++ b/examples/notebook/contrib/nontransitive_dice.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nqueens.ipynb b/examples/notebook/contrib/nqueens.ipynb
index b5ca63c2cf..437a3de407 100644
--- a/examples/notebook/contrib/nqueens.ipynb
+++ b/examples/notebook/contrib/nqueens.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nqueens2.ipynb b/examples/notebook/contrib/nqueens2.ipynb
index 43ebd96434..492c898c8c 100644
--- a/examples/notebook/contrib/nqueens2.ipynb
+++ b/examples/notebook/contrib/nqueens2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nqueens3.ipynb b/examples/notebook/contrib/nqueens3.ipynb
index 373dbc126e..d5b310fc08 100644
--- a/examples/notebook/contrib/nqueens3.ipynb
+++ b/examples/notebook/contrib/nqueens3.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nurse_rostering.ipynb b/examples/notebook/contrib/nurse_rostering.ipynb
index 3a0490f896..ca1f438aff 100644
--- a/examples/notebook/contrib/nurse_rostering.ipynb
+++ b/examples/notebook/contrib/nurse_rostering.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/nurses_cp.ipynb b/examples/notebook/contrib/nurses_cp.ipynb
index 036eb4d3ab..4247c3b9b3 100644
--- a/examples/notebook/contrib/nurses_cp.ipynb
+++ b/examples/notebook/contrib/nurses_cp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/olympic.ipynb b/examples/notebook/contrib/olympic.ipynb
index fc438a146d..4c7675c3f1 100644
--- a/examples/notebook/contrib/olympic.ipynb
+++ b/examples/notebook/contrib/olympic.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/organize_day.ipynb b/examples/notebook/contrib/organize_day.ipynb
index 1cfd0e775d..7888444751 100644
--- a/examples/notebook/contrib/organize_day.ipynb
+++ b/examples/notebook/contrib/organize_day.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/p_median.ipynb b/examples/notebook/contrib/p_median.ipynb
index 14a71c3b9f..937e78c03d 100644
--- a/examples/notebook/contrib/p_median.ipynb
+++ b/examples/notebook/contrib/p_median.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/pandigital_numbers.ipynb b/examples/notebook/contrib/pandigital_numbers.ipynb
index 3a2391e8cd..bf4746b3e5 100644
--- a/examples/notebook/contrib/pandigital_numbers.ipynb
+++ b/examples/notebook/contrib/pandigital_numbers.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/photo_problem.ipynb b/examples/notebook/contrib/photo_problem.ipynb
index 3c926c0d9e..9a75a3413f 100644
--- a/examples/notebook/contrib/photo_problem.ipynb
+++ b/examples/notebook/contrib/photo_problem.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/place_number_puzzle.ipynb b/examples/notebook/contrib/place_number_puzzle.ipynb
index f0e9472e4a..8fc2cd1ba8 100644
--- a/examples/notebook/contrib/place_number_puzzle.ipynb
+++ b/examples/notebook/contrib/place_number_puzzle.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/post_office_problem2.ipynb b/examples/notebook/contrib/post_office_problem2.ipynb
index 7e4b3f90dd..7271628b0a 100644
--- a/examples/notebook/contrib/post_office_problem2.ipynb
+++ b/examples/notebook/contrib/post_office_problem2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/production.ipynb b/examples/notebook/contrib/production.ipynb
index 90a4ce1409..f450e58575 100644
--- a/examples/notebook/contrib/production.ipynb
+++ b/examples/notebook/contrib/production.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/project_scheduling_sat.ipynb b/examples/notebook/contrib/project_scheduling_sat.ipynb
index 1705b4dc4f..328bbdc134 100644
--- a/examples/notebook/contrib/project_scheduling_sat.ipynb
+++ b/examples/notebook/contrib/project_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/pyls_api.ipynb b/examples/notebook/contrib/pyls_api.ipynb
index f58f9c01dd..f0d5503213 100644
--- a/examples/notebook/contrib/pyls_api.ipynb
+++ b/examples/notebook/contrib/pyls_api.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/quasigroup_completion.ipynb b/examples/notebook/contrib/quasigroup_completion.ipynb
index c7e5a1c2e3..3a89729599 100644
--- a/examples/notebook/contrib/quasigroup_completion.ipynb
+++ b/examples/notebook/contrib/quasigroup_completion.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/regular.ipynb b/examples/notebook/contrib/regular.ipynb
index db879beecc..1f53a18eb5 100644
--- a/examples/notebook/contrib/regular.ipynb
+++ b/examples/notebook/contrib/regular.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/regular_table.ipynb b/examples/notebook/contrib/regular_table.ipynb
index 9f671a3945..bad77bc5fa 100644
--- a/examples/notebook/contrib/regular_table.ipynb
+++ b/examples/notebook/contrib/regular_table.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/regular_table2.ipynb b/examples/notebook/contrib/regular_table2.ipynb
index 5df0798cad..73b7fe76ee 100644
--- a/examples/notebook/contrib/regular_table2.ipynb
+++ b/examples/notebook/contrib/regular_table2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/rogo2.ipynb b/examples/notebook/contrib/rogo2.ipynb
index 2acf87de4c..9bae765dc5 100644
--- a/examples/notebook/contrib/rogo2.ipynb
+++ b/examples/notebook/contrib/rogo2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/rostering_with_travel.ipynb b/examples/notebook/contrib/rostering_with_travel.ipynb
index 794bc3e8a3..a5545bbf53 100644
--- a/examples/notebook/contrib/rostering_with_travel.ipynb
+++ b/examples/notebook/contrib/rostering_with_travel.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/safe_cracking.ipynb b/examples/notebook/contrib/safe_cracking.ipynb
index 8c2184de87..4baaa5c125 100644
--- a/examples/notebook/contrib/safe_cracking.ipynb
+++ b/examples/notebook/contrib/safe_cracking.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/scheduling_speakers.ipynb b/examples/notebook/contrib/scheduling_speakers.ipynb
index 29ec70d428..8f3de34267 100644
--- a/examples/notebook/contrib/scheduling_speakers.ipynb
+++ b/examples/notebook/contrib/scheduling_speakers.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/scheduling_with_transitions_sat.ipynb b/examples/notebook/contrib/scheduling_with_transitions_sat.ipynb
index 16275fec82..b67470ee1d 100644
--- a/examples/notebook/contrib/scheduling_with_transitions_sat.ipynb
+++ b/examples/notebook/contrib/scheduling_with_transitions_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/school_scheduling_sat.ipynb b/examples/notebook/contrib/school_scheduling_sat.ipynb
index bf5507e2c2..423ff950f0 100644
--- a/examples/notebook/contrib/school_scheduling_sat.ipynb
+++ b/examples/notebook/contrib/school_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/secret_santa.ipynb b/examples/notebook/contrib/secret_santa.ipynb
index 789a388412..1997541e8a 100644
--- a/examples/notebook/contrib/secret_santa.ipynb
+++ b/examples/notebook/contrib/secret_santa.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/secret_santa2.ipynb b/examples/notebook/contrib/secret_santa2.ipynb
index 63b73e3827..24314c8a4d 100644
--- a/examples/notebook/contrib/secret_santa2.ipynb
+++ b/examples/notebook/contrib/secret_santa2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/send_more_money_any_base.ipynb b/examples/notebook/contrib/send_more_money_any_base.ipynb
index 18ad26402d..a3039842df 100644
--- a/examples/notebook/contrib/send_more_money_any_base.ipynb
+++ b/examples/notebook/contrib/send_more_money_any_base.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/send_most_money.ipynb b/examples/notebook/contrib/send_most_money.ipynb
index 3cfc024843..418e7dd237 100644
--- a/examples/notebook/contrib/send_most_money.ipynb
+++ b/examples/notebook/contrib/send_most_money.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/seseman.ipynb b/examples/notebook/contrib/seseman.ipynb
index e4ba7742e7..4b6d7a9151 100644
--- a/examples/notebook/contrib/seseman.ipynb
+++ b/examples/notebook/contrib/seseman.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/seseman_b.ipynb b/examples/notebook/contrib/seseman_b.ipynb
index 35bddea7f3..5d91bb53f8 100644
--- a/examples/notebook/contrib/seseman_b.ipynb
+++ b/examples/notebook/contrib/seseman_b.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering.ipynb b/examples/notebook/contrib/set_covering.ipynb
index 31123d37e7..8881614419 100644
--- a/examples/notebook/contrib/set_covering.ipynb
+++ b/examples/notebook/contrib/set_covering.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering2.ipynb b/examples/notebook/contrib/set_covering2.ipynb
index ee0af37f97..f68a156379 100644
--- a/examples/notebook/contrib/set_covering2.ipynb
+++ b/examples/notebook/contrib/set_covering2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering3.ipynb b/examples/notebook/contrib/set_covering3.ipynb
index 99d5ce7481..2464fc62f5 100644
--- a/examples/notebook/contrib/set_covering3.ipynb
+++ b/examples/notebook/contrib/set_covering3.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering4.ipynb b/examples/notebook/contrib/set_covering4.ipynb
index aedf1099b5..30632d5cce 100644
--- a/examples/notebook/contrib/set_covering4.ipynb
+++ b/examples/notebook/contrib/set_covering4.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering_deployment.ipynb b/examples/notebook/contrib/set_covering_deployment.ipynb
index 779bc0b556..bd6e6fed72 100644
--- a/examples/notebook/contrib/set_covering_deployment.ipynb
+++ b/examples/notebook/contrib/set_covering_deployment.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_covering_skiena.ipynb b/examples/notebook/contrib/set_covering_skiena.ipynb
index 2e9c36e3fb..0105739449 100644
--- a/examples/notebook/contrib/set_covering_skiena.ipynb
+++ b/examples/notebook/contrib/set_covering_skiena.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/set_partition.ipynb b/examples/notebook/contrib/set_partition.ipynb
index 41e415e1ed..d151380bc1 100644
--- a/examples/notebook/contrib/set_partition.ipynb
+++ b/examples/notebook/contrib/set_partition.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/sicherman_dice.ipynb b/examples/notebook/contrib/sicherman_dice.ipynb
index 11f1f6c91b..41531e4954 100644
--- a/examples/notebook/contrib/sicherman_dice.ipynb
+++ b/examples/notebook/contrib/sicherman_dice.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/ski_assignment.ipynb b/examples/notebook/contrib/ski_assignment.ipynb
index 0fd19263f6..cfa236c191 100644
--- a/examples/notebook/contrib/ski_assignment.ipynb
+++ b/examples/notebook/contrib/ski_assignment.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/slitherlink.ipynb b/examples/notebook/contrib/slitherlink.ipynb
index afae049f1f..4ce404c391 100644
--- a/examples/notebook/contrib/slitherlink.ipynb
+++ b/examples/notebook/contrib/slitherlink.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/sports_schedule_sat.ipynb b/examples/notebook/contrib/sports_schedule_sat.ipynb
index a8d95bfe38..1425f40d41 100644
--- a/examples/notebook/contrib/sports_schedule_sat.ipynb
+++ b/examples/notebook/contrib/sports_schedule_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/stable_marriage.ipynb b/examples/notebook/contrib/stable_marriage.ipynb
index 1209a47734..7d9c87ddb1 100644
--- a/examples/notebook/contrib/stable_marriage.ipynb
+++ b/examples/notebook/contrib/stable_marriage.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/stable_marriage_sat.ipynb b/examples/notebook/contrib/stable_marriage_sat.ipynb
index 6db6211940..5cd6df5856 100644
--- a/examples/notebook/contrib/stable_marriage_sat.ipynb
+++ b/examples/notebook/contrib/stable_marriage_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/steel.ipynb b/examples/notebook/contrib/steel.ipynb
index 895afb030f..73ebdf511a 100644
--- a/examples/notebook/contrib/steel.ipynb
+++ b/examples/notebook/contrib/steel.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/steel_lns.ipynb b/examples/notebook/contrib/steel_lns.ipynb
index c8f1937bbe..df75ee18df 100644
--- a/examples/notebook/contrib/steel_lns.ipynb
+++ b/examples/notebook/contrib/steel_lns.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/stigler_contrib.ipynb b/examples/notebook/contrib/stigler_contrib.ipynb
index 2e8e24bb6a..a9f73e4444 100644
--- a/examples/notebook/contrib/stigler_contrib.ipynb
+++ b/examples/notebook/contrib/stigler_contrib.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/strimko2.ipynb b/examples/notebook/contrib/strimko2.ipynb
index 0255610cc0..49411e6dc2 100644
--- a/examples/notebook/contrib/strimko2.ipynb
+++ b/examples/notebook/contrib/strimko2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/subset_sum.ipynb b/examples/notebook/contrib/subset_sum.ipynb
index 8825f23e14..17f716fc71 100644
--- a/examples/notebook/contrib/subset_sum.ipynb
+++ b/examples/notebook/contrib/subset_sum.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/survo_puzzle.ipynb b/examples/notebook/contrib/survo_puzzle.ipynb
index 76a96d52fb..217186c4e6 100644
--- a/examples/notebook/contrib/survo_puzzle.ipynb
+++ b/examples/notebook/contrib/survo_puzzle.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/toNum.ipynb b/examples/notebook/contrib/toNum.ipynb
index cf9efddccb..86392c650b 100644
--- a/examples/notebook/contrib/toNum.ipynb
+++ b/examples/notebook/contrib/toNum.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/traffic_lights.ipynb b/examples/notebook/contrib/traffic_lights.ipynb
index 2f1a2b379c..9e695c55cc 100644
--- a/examples/notebook/contrib/traffic_lights.ipynb
+++ b/examples/notebook/contrib/traffic_lights.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/vendor_scheduling.ipynb b/examples/notebook/contrib/vendor_scheduling.ipynb
index 15808dcbd1..e819b7a59b 100644
--- a/examples/notebook/contrib/vendor_scheduling.ipynb
+++ b/examples/notebook/contrib/vendor_scheduling.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/volsay.ipynb b/examples/notebook/contrib/volsay.ipynb
index 54d4905352..d344e95c0f 100644
--- a/examples/notebook/contrib/volsay.ipynb
+++ b/examples/notebook/contrib/volsay.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/volsay2.ipynb b/examples/notebook/contrib/volsay2.ipynb
index baadaa11b7..c8d6e89129 100644
--- a/examples/notebook/contrib/volsay2.ipynb
+++ b/examples/notebook/contrib/volsay2.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/volsay3.ipynb b/examples/notebook/contrib/volsay3.ipynb
index b15b62ff29..9b64f26d0c 100644
--- a/examples/notebook/contrib/volsay3.ipynb
+++ b/examples/notebook/contrib/volsay3.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/wedding_optimal_chart.ipynb b/examples/notebook/contrib/wedding_optimal_chart.ipynb
index 49f26a266b..2d25a22f9e 100644
--- a/examples/notebook/contrib/wedding_optimal_chart.ipynb
+++ b/examples/notebook/contrib/wedding_optimal_chart.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/who_killed_agatha.ipynb b/examples/notebook/contrib/who_killed_agatha.ipynb
index da0b53b75c..b35d1a6313 100644
--- a/examples/notebook/contrib/who_killed_agatha.ipynb
+++ b/examples/notebook/contrib/who_killed_agatha.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/xkcd.ipynb b/examples/notebook/contrib/xkcd.ipynb
index 363385a51d..87e1a351f9 100644
--- a/examples/notebook/contrib/xkcd.ipynb
+++ b/examples/notebook/contrib/xkcd.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/contrib/young_tableaux.ipynb b/examples/notebook/contrib/young_tableaux.ipynb
index 86ca0ee19e..a5aa3cbdc3 100644
--- a/examples/notebook/contrib/young_tableaux.ipynb
+++ b/examples/notebook/contrib/young_tableaux.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/appointments.ipynb b/examples/notebook/examples/appointments.ipynb
index 3976bab8ac..e9473305c3 100644
--- a/examples/notebook/examples/appointments.ipynb
+++ b/examples/notebook/examples/appointments.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/arc_flow_cutting_stock_sat.ipynb b/examples/notebook/examples/arc_flow_cutting_stock_sat.ipynb
index 66eb9fbcd0..59374a1958 100644
--- a/examples/notebook/examples/arc_flow_cutting_stock_sat.ipynb
+++ b/examples/notebook/examples/arc_flow_cutting_stock_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -93,7 +93,6 @@
"from ortools.linear_solver.python import model_builder as mb\n",
"from ortools.sat.python import cp_model\n",
"\n",
- "FLAGS = flags.FLAGS\n",
"\n",
"_OUTPUT_PROTO = flags.define_string(\n",
" \"output_proto\", \"\", \"Output file to write the cp_model proto to.\"\n",
@@ -107,17 +106,143 @@
"\n",
"\n",
"DESIRED_LENGTHS = [\n",
- " 2490, 3980, 2490, 3980, 2391, 2391, 2391, 596, 596, 596, 2456, 2456, 3018,\n",
- " 938, 3018, 938, 943, 3018, 943, 3018, 2490, 3980, 2490, 3980, 2391, 2391,\n",
- " 2391, 596, 596, 596, 2456, 2456, 3018, 938, 3018, 938, 943, 3018, 943,\n",
- " 3018, 2890, 3980, 2890, 3980, 2391, 2391, 2391, 596, 596, 596, 2856, 2856,\n",
- " 3018, 938, 3018, 938, 943, 3018, 943, 3018, 3290, 3980, 3290, 3980, 2391,\n",
- " 2391, 2391, 596, 596, 596, 3256, 3256, 3018, 938, 3018, 938, 943, 3018,\n",
- " 943, 3018, 3690, 3980, 3690, 3980, 2391, 2391, 2391, 596, 596, 596, 3656,\n",
- " 3656, 3018, 938, 3018, 938, 943, 3018, 943, 3018, 2790, 3980, 2790, 3980,\n",
- " 2391, 2391, 2391, 596, 596, 596, 2756, 2756, 3018, 938, 3018, 938, 943,\n",
- " 3018, 943, 3018, 2790, 3980, 2790, 3980, 2391, 2391, 2391, 596, 596, 596,\n",
- " 2756, 2756, 3018, 938, 3018, 938, 943\n",
+ " 2490,\n",
+ " 3980,\n",
+ " 2490,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 2456,\n",
+ " 2456,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 2490,\n",
+ " 3980,\n",
+ " 2490,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 2456,\n",
+ " 2456,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 2890,\n",
+ " 3980,\n",
+ " 2890,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 2856,\n",
+ " 2856,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 3290,\n",
+ " 3980,\n",
+ " 3290,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 3256,\n",
+ " 3256,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 3690,\n",
+ " 3980,\n",
+ " 3690,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 3656,\n",
+ " 3656,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 2790,\n",
+ " 3980,\n",
+ " 2790,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 2756,\n",
+ " 2756,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 943,\n",
+ " 3018,\n",
+ " 2790,\n",
+ " 3980,\n",
+ " 2790,\n",
+ " 3980,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 2391,\n",
+ " 596,\n",
+ " 596,\n",
+ " 596,\n",
+ " 2756,\n",
+ " 2756,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 3018,\n",
+ " 938,\n",
+ " 943,\n",
"]\n",
"POSSIBLE_CAPACITIES = [4000, 5000, 6000, 7000, 8000]\n",
"\n",
@@ -167,7 +292,6 @@
" new_state = current_state + size * (card + 1)\n",
" if new_state > max_capacity:\n",
" break\n",
- " new_state_index = -1\n",
" if new_state in state_to_index:\n",
" new_state_index = state_to_index[new_state]\n",
" else:\n",
diff --git a/examples/notebook/examples/assignment_with_constraints_sat.ipynb b/examples/notebook/examples/assignment_with_constraints_sat.ipynb
index 7f4bd7437a..4faf8406e8 100644
--- a/examples/notebook/examples/assignment_with_constraints_sat.ipynb
+++ b/examples/notebook/examples/assignment_with_constraints_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -110,24 +110,24 @@
" [0, 1, 0, 1], # Workers 1, 3\n",
" [0, 1, 1, 0], # Workers 1, 2\n",
" [1, 1, 0, 0], # Workers 0, 1\n",
- " [1, 0, 1, 0],\n",
- " ] # Workers 0, 2\n",
+ " [1, 0, 1, 0], # Workers 0, 2\n",
+ " ]\n",
"\n",
" group2 = [\n",
" [0, 0, 1, 1], # Workers 6, 7\n",
" [0, 1, 0, 1], # Workers 5, 7\n",
" [0, 1, 1, 0], # Workers 5, 6\n",
" [1, 1, 0, 0], # Workers 4, 5\n",
- " [1, 0, 0, 1],\n",
- " ] # Workers 4, 7\n",
+ " [1, 0, 0, 1], # Workers 4, 7\n",
+ " ]\n",
"\n",
" group3 = [\n",
" [0, 0, 1, 1], # Workers 10, 11\n",
" [0, 1, 0, 1], # Workers 9, 11\n",
" [0, 1, 1, 0], # Workers 9, 10\n",
" [1, 0, 1, 0], # Workers 8, 10\n",
- " [1, 0, 0, 1],\n",
- " ] # Workers 8, 11\n",
+ " [1, 0, 0, 1], # Workers 8, 11\n",
+ " ]\n",
"\n",
" sizes = [10, 7, 3, 12, 15, 4, 11, 5]\n",
" total_size_max = 15\n",
@@ -141,10 +141,9 @@
" model = cp_model.CpModel()\n",
" # Variables\n",
" selected = [\n",
- " [model.new_bool_var(\"x[%i,%i]\" % (i, j)) for j in all_tasks]\n",
- " for i in all_workers\n",
+ " [model.new_bool_var(f\"x[{i},{j}]\") for j in all_tasks] for i in all_workers\n",
" ]\n",
- " works = [model.new_bool_var(\"works[%i]\" % i) for i in all_workers]\n",
+ " works = [model.new_bool_var(f\"works[{i}]\") for i in all_workers]\n",
"\n",
" # Constraints\n",
"\n",
@@ -175,21 +174,16 @@
" status = solver.solve(model)\n",
"\n",
" if status == cp_model.OPTIMAL:\n",
- " print(\"Total cost = %i\" % solver.objective_value)\n",
+ " print(f\"Total cost = {solver.objective_value}\")\n",
" print()\n",
" for i in all_workers:\n",
" for j in all_tasks:\n",
" if solver.boolean_value(selected[i][j]):\n",
- " print(\n",
- " \"Worker \", i, \" assigned to task \", j, \" Cost = \", cost[i][j]\n",
- " )\n",
+ " print(f\"Worker {i} assigned to task {j} with Cost = {cost[i][j]}\")\n",
"\n",
" print()\n",
"\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"def main(argv: Sequence[str]) -> None:\n",
diff --git a/examples/notebook/examples/balance_group_sat.ipynb b/examples/notebook/examples/balance_group_sat.ipynb
index 61b74bf4a4..2e966e0e28 100644
--- a/examples/notebook/examples/balance_group_sat.ipynb
+++ b/examples/notebook/examples/balance_group_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -88,7 +88,8 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Sequence\n",
+ "from typing import Dict, Sequence\n",
+ "\n",
"from ortools.sat.python import cp_model\n",
"\n",
"\n",
@@ -106,10 +107,10 @@
" self.__item_in_group = item_in_group\n",
"\n",
" def on_solution_callback(self):\n",
- " print(\"Solution %i\" % self.__solution_count)\n",
+ " print(f\"Solution {self.__solution_count}\")\n",
" self.__solution_count += 1\n",
"\n",
- " print(\" objective value = %i\" % self.objective_value)\n",
+ " print(f\" objective value = {self.objective_value}\")\n",
" groups = {}\n",
" sums = {}\n",
" for g in self.__all_groups:\n",
@@ -122,11 +123,11 @@
"\n",
" for g in self.__all_groups:\n",
" group = groups[g]\n",
- " print(\"group %i: sum = %0.2f [\" % (g, sums[g]), end=\"\")\n",
+ " print(f\"group {g}: sum = {sums[g]:0.2f} [\", end=\"\")\n",
" for item in group:\n",
" value = self.__values[item]\n",
" color = self.__colors[item]\n",
- " print(\" (%i, %i, %i)\" % (item, value, color), end=\"\")\n",
+ " print(f\" ({item}, {value}, {color})\", end=\"\")\n",
" print(\"]\")\n",
"\n",
"\n",
@@ -156,18 +157,17 @@
" num_items_per_group = num_items // num_groups\n",
"\n",
" # Collect all items in a given color.\n",
- " items_per_color = {}\n",
- " for c in all_colors:\n",
- " items_per_color[c] = []\n",
+ " items_per_color: Dict[int, list[int]] = {}\n",
+ " for color in all_colors:\n",
+ " items_per_color[color] = []\n",
" for i in all_items:\n",
- " if colors[i] == c:\n",
- " items_per_color[c].append(i)\n",
+ " if colors[i] == color:\n",
+ " items_per_color[color].append(i)\n",
"\n",
" print(\n",
- " \"Model has %i items, %i groups, and %i colors\"\n",
- " % (num_items, num_groups, num_colors)\n",
+ " f\"Model has {num_items} items, {num_groups} groups, and\" f\" {num_colors} colors\"\n",
" )\n",
- " print(\" average sum per group = %i\" % average_sum_per_group)\n",
+ " print(f\" average sum per group = {average_sum_per_group}\")\n",
"\n",
" # Model.\n",
"\n",
@@ -176,7 +176,7 @@
" item_in_group = {}\n",
" for i in all_items:\n",
" for g in all_groups:\n",
- " item_in_group[(i, g)] = model.new_bool_var(\"item %d in group %d\" % (i, g))\n",
+ " item_in_group[(i, g)] = model.new_bool_var(f\"item {i} in group {g}\")\n",
"\n",
" # Each group must have the same size.\n",
" for g in all_groups:\n",
@@ -204,9 +204,7 @@
" color_in_group = {}\n",
" for g in all_groups:\n",
" for c in all_colors:\n",
- " color_in_group[(c, g)] = model.new_bool_var(\n",
- " \"color %d is in group %d\" % (c, g)\n",
- " )\n",
+ " color_in_group[(c, g)] = model.new_bool_var(f\"color {c} is in group {g}\")\n",
"\n",
" # Item is in a group implies its color is in that group.\n",
" for i in all_items:\n",
@@ -243,11 +241,8 @@
" status = solver.solve(model, solution_printer)\n",
"\n",
" if status == cp_model.OPTIMAL:\n",
- " print(\"Optimal epsilon: %i\" % solver.objective_value)\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(f\"Optimal epsilon: {solver.objective_value}\")\n",
+ " print(solver.response_stats())\n",
" else:\n",
" print(\"No solution found\")\n",
"\n",
diff --git a/examples/notebook/examples/bus_driver_scheduling_flow_sat.ipynb b/examples/notebook/examples/bus_driver_scheduling_flow_sat.ipynb
index 3f4b5cd2fd..59a3162001 100644
--- a/examples/notebook/examples/bus_driver_scheduling_flow_sat.ipynb
+++ b/examples/notebook/examples/bus_driver_scheduling_flow_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -99,14 +99,13 @@
"from ortools.sat.python import cp_model\n",
"\n",
"PARSER = argparse.ArgumentParser()\n",
+ "PARSER.add_argument(\"--instance\", default=1, type=int, help=\"Instance number (1..3).\")\n",
"PARSER.add_argument(\n",
- " '--instance', default=1, type=int, help='Instance number (1..3).')\n",
- "PARSER.add_argument(\n",
- " '--output_proto_file',\n",
+ " \"--output_proto_file\",\n",
" default=\"\",\n",
- " help='Output file to write the cp_model'\n",
- " 'proto to.')\n",
- "PARSER.add_argument('--params', default=\"\", help='Sat solver parameters.')\n",
+ " help=\"Output file to write the cp_model\" \"proto to.\",\n",
+ ")\n",
+ "PARSER.add_argument(\"--params\", default=\"\", help=\"Sat solver parameters.\")\n",
"\n",
"SAMPLE_SHIFTS_SMALL = [\n",
" #\n",
@@ -118,1618 +117,1618 @@
" # - shift end minute\n",
" # - shift duration in minutes\n",
" #\n",
- " [0, '05:18', '06:00', 318, 360, 42],\n",
- " [1, '05:26', '06:08', 326, 368, 42],\n",
- " [2, '05:40', '05:56', 340, 356, 16],\n",
- " [3, '06:06', '06:51', 366, 411, 45],\n",
- " [4, '06:40', '07:52', 400, 472, 72],\n",
- " [5, '06:42', '07:13', 402, 433, 31],\n",
- " [6, '06:48', '08:15', 408, 495, 87],\n",
- " [7, '06:59', '08:07', 419, 487, 68],\n",
- " [8, '07:20', '07:36', 440, 456, 16],\n",
- " [9, '07:35', '08:22', 455, 502, 47],\n",
- " [10, '07:50', '08:55', 470, 535, 65],\n",
- " [11, '08:00', '09:05', 480, 545, 65],\n",
- " [12, '08:00', '08:35', 480, 515, 35],\n",
- " [13, '08:11', '09:41', 491, 581, 90],\n",
- " [14, '08:28', '08:50', 508, 530, 22],\n",
- " [15, '08:35', '08:45', 515, 525, 10],\n",
- " [16, '08:40', '08:50', 520, 530, 10],\n",
- " [17, '09:03', '10:28', 543, 628, 85],\n",
- " [18, '09:23', '09:49', 563, 589, 26],\n",
- " [19, '09:30', '09:40', 570, 580, 10],\n",
- " [20, '09:57', '10:20', 597, 620, 23],\n",
- " [21, '10:09', '11:03', 609, 663, 54],\n",
- " [22, '10:20', '10:30', 620, 630, 10],\n",
- " [23, '11:00', '11:10', 660, 670, 10],\n",
- " [24, '11:45', '12:24', 705, 744, 39],\n",
- " [25, '12:18', '13:00', 738, 780, 42],\n",
- " [26, '13:18', '14:44', 798, 884, 86],\n",
- " [27, '13:53', '14:49', 833, 889, 56],\n",
- " [28, '14:03', '14:50', 843, 890, 47],\n",
- " [29, '14:28', '15:15', 868, 915, 47],\n",
- " [30, '14:30', '15:41', 870, 941, 71],\n",
- " [31, '14:48', '15:35', 888, 935, 47],\n",
- " [32, '15:03', '15:50', 903, 950, 47],\n",
- " [33, '15:28', '16:54', 928, 1014, 86],\n",
- " [34, '15:38', '16:25', 938, 985, 47],\n",
- " [35, '15:40', '15:56', 940, 956, 16],\n",
- " [36, '15:58', '16:45', 958, 1005, 47],\n",
- " [37, '16:04', '17:30', 964, 1050, 86],\n",
- " [38, '16:28', '17:15', 988, 1035, 47],\n",
- " [39, '16:36', '17:21', 996, 1041, 45],\n",
- " [40, '16:50', '17:00', 1010, 1020, 10],\n",
- " [41, '16:54', '18:20', 1014, 1100, 86],\n",
- " [42, '17:01', '17:13', 1021, 1033, 12],\n",
- " [43, '17:19', '18:31', 1039, 1111, 72],\n",
- " [44, '17:23', '18:10', 1043, 1090, 47],\n",
- " [45, '17:34', '18:15', 1054, 1095, 41],\n",
- " [46, '18:04', '19:29', 1084, 1169, 85],\n",
- " [47, '18:34', '19:58', 1114, 1198, 84],\n",
- " [48, '19:56', '20:34', 1196, 1234, 38],\n",
- " [49, '20:05', '20:48', 1205, 1248, 43]\n",
+ " [0, \"05:18\", \"06:00\", 318, 360, 42],\n",
+ " [1, \"05:26\", \"06:08\", 326, 368, 42],\n",
+ " [2, \"05:40\", \"05:56\", 340, 356, 16],\n",
+ " [3, \"06:06\", \"06:51\", 366, 411, 45],\n",
+ " [4, \"06:40\", \"07:52\", 400, 472, 72],\n",
+ " [5, \"06:42\", \"07:13\", 402, 433, 31],\n",
+ " [6, \"06:48\", \"08:15\", 408, 495, 87],\n",
+ " [7, \"06:59\", \"08:07\", 419, 487, 68],\n",
+ " [8, \"07:20\", \"07:36\", 440, 456, 16],\n",
+ " [9, \"07:35\", \"08:22\", 455, 502, 47],\n",
+ " [10, \"07:50\", \"08:55\", 470, 535, 65],\n",
+ " [11, \"08:00\", \"09:05\", 480, 545, 65],\n",
+ " [12, \"08:00\", \"08:35\", 480, 515, 35],\n",
+ " [13, \"08:11\", \"09:41\", 491, 581, 90],\n",
+ " [14, \"08:28\", \"08:50\", 508, 530, 22],\n",
+ " [15, \"08:35\", \"08:45\", 515, 525, 10],\n",
+ " [16, \"08:40\", \"08:50\", 520, 530, 10],\n",
+ " [17, \"09:03\", \"10:28\", 543, 628, 85],\n",
+ " [18, \"09:23\", \"09:49\", 563, 589, 26],\n",
+ " [19, \"09:30\", \"09:40\", 570, 580, 10],\n",
+ " [20, \"09:57\", \"10:20\", 597, 620, 23],\n",
+ " [21, \"10:09\", \"11:03\", 609, 663, 54],\n",
+ " [22, \"10:20\", \"10:30\", 620, 630, 10],\n",
+ " [23, \"11:00\", \"11:10\", 660, 670, 10],\n",
+ " [24, \"11:45\", \"12:24\", 705, 744, 39],\n",
+ " [25, \"12:18\", \"13:00\", 738, 780, 42],\n",
+ " [26, \"13:18\", \"14:44\", 798, 884, 86],\n",
+ " [27, \"13:53\", \"14:49\", 833, 889, 56],\n",
+ " [28, \"14:03\", \"14:50\", 843, 890, 47],\n",
+ " [29, \"14:28\", \"15:15\", 868, 915, 47],\n",
+ " [30, \"14:30\", \"15:41\", 870, 941, 71],\n",
+ " [31, \"14:48\", \"15:35\", 888, 935, 47],\n",
+ " [32, \"15:03\", \"15:50\", 903, 950, 47],\n",
+ " [33, \"15:28\", \"16:54\", 928, 1014, 86],\n",
+ " [34, \"15:38\", \"16:25\", 938, 985, 47],\n",
+ " [35, \"15:40\", \"15:56\", 940, 956, 16],\n",
+ " [36, \"15:58\", \"16:45\", 958, 1005, 47],\n",
+ " [37, \"16:04\", \"17:30\", 964, 1050, 86],\n",
+ " [38, \"16:28\", \"17:15\", 988, 1035, 47],\n",
+ " [39, \"16:36\", \"17:21\", 996, 1041, 45],\n",
+ " [40, \"16:50\", \"17:00\", 1010, 1020, 10],\n",
+ " [41, \"16:54\", \"18:20\", 1014, 1100, 86],\n",
+ " [42, \"17:01\", \"17:13\", 1021, 1033, 12],\n",
+ " [43, \"17:19\", \"18:31\", 1039, 1111, 72],\n",
+ " [44, \"17:23\", \"18:10\", 1043, 1090, 47],\n",
+ " [45, \"17:34\", \"18:15\", 1054, 1095, 41],\n",
+ " [46, \"18:04\", \"19:29\", 1084, 1169, 85],\n",
+ " [47, \"18:34\", \"19:58\", 1114, 1198, 84],\n",
+ " [48, \"19:56\", \"20:34\", 1196, 1234, 38],\n",
+ " [49, \"20:05\", \"20:48\", 1205, 1248, 43],\n",
"] # yapf:disable\n",
"\n",
"SAMPLE_SHIFTS_MEDIUM = [\n",
- " [0, '04:30', '04:53', 270, 293, 23],\n",
- " [1, '04:46', '04:56', 286, 296, 10],\n",
- " [2, '04:52', '05:56', 292, 356, 64],\n",
- " [3, '04:53', '05:23', 293, 323, 30],\n",
- " [4, '05:07', '05:44', 307, 344, 37],\n",
- " [5, '05:10', '06:06', 310, 366, 56],\n",
- " [6, '05:18', '06:03', 318, 363, 45],\n",
- " [7, '05:30', '05:40', 330, 340, 10],\n",
- " [8, '05:30', '05:40', 330, 340, 10],\n",
- " [9, '05:33', '06:15', 333, 375, 42],\n",
- " [10, '05:40', '05:50', 340, 350, 10],\n",
- " [11, '05:43', '06:08', 343, 368, 25],\n",
- " [12, '05:54', '07:20', 354, 440, 86],\n",
- " [13, '06:04', '06:37', 364, 397, 33],\n",
- " [14, '06:13', '06:58', 373, 418, 45],\n",
- " [15, '06:14', '07:40', 374, 460, 86],\n",
- " [16, '06:15', '07:15', 375, 435, 60],\n",
- " [17, '06:16', '06:26', 376, 386, 10],\n",
- " [18, '06:17', '06:34', 377, 394, 17],\n",
- " [19, '06:20', '06:36', 380, 396, 16],\n",
- " [20, '06:22', '07:06', 382, 426, 44],\n",
- " [21, '06:24', '07:50', 384, 470, 86],\n",
- " [22, '06:27', '06:44', 387, 404, 17],\n",
- " [23, '06:30', '06:40', 390, 400, 10],\n",
- " [24, '06:31', '06:43', 391, 403, 12],\n",
- " [25, '06:33', '07:53', 393, 473, 80],\n",
- " [26, '06:34', '07:09', 394, 429, 35],\n",
- " [27, '06:40', '06:56', 400, 416, 16],\n",
- " [28, '06:44', '07:17', 404, 437, 33],\n",
- " [29, '06:46', '06:58', 406, 418, 12],\n",
- " [30, '06:49', '07:43', 409, 463, 54],\n",
- " [31, '06:50', '07:05', 410, 425, 15],\n",
- " [32, '06:52', '07:36', 412, 456, 44],\n",
- " [33, '06:54', '07:27', 414, 447, 33],\n",
- " [34, '06:56', '08:23', 416, 503, 87],\n",
- " [35, '07:04', '07:44', 424, 464, 40],\n",
- " [36, '07:11', '08:36', 431, 516, 85],\n",
- " [37, '07:17', '07:35', 437, 455, 18],\n",
- " [38, '07:22', '08:06', 442, 486, 44],\n",
- " [39, '07:27', '08:15', 447, 495, 48],\n",
- " [40, '07:35', '07:45', 455, 465, 10],\n",
- " [41, '07:43', '08:08', 463, 488, 25],\n",
- " [42, '07:50', '08:37', 470, 517, 47],\n",
- " [43, '07:58', '08:45', 478, 525, 47],\n",
- " [44, '08:00', '08:35', 480, 515, 35],\n",
- " [45, '08:06', '08:51', 486, 531, 45],\n",
- " [46, '08:10', '08:45', 490, 525, 35],\n",
- " [47, '08:15', '08:30', 495, 510, 15],\n",
- " [48, '08:16', '09:00', 496, 540, 44],\n",
- " [49, '08:18', '09:16', 498, 556, 58],\n",
- " [50, '08:20', '08:36', 500, 516, 16],\n",
- " [51, '08:27', '09:07', 507, 547, 40],\n",
- " [52, '08:30', '08:45', 510, 525, 15],\n",
- " [53, '08:35', '09:15', 515, 555, 40],\n",
- " [54, '08:46', '09:30', 526, 570, 44],\n",
- " [55, '08:51', '09:17', 531, 557, 26],\n",
- " [56, '08:55', '09:15', 535, 555, 20],\n",
- " [57, '08:58', '09:38', 538, 578, 40],\n",
- " [58, '09:00', '09:35', 540, 575, 35],\n",
- " [59, '09:00', '09:16', 540, 556, 16],\n",
- " [60, '09:20', '09:36', 560, 576, 16],\n",
- " [61, '09:31', '09:43', 571, 583, 12],\n",
- " [62, '09:33', '10:15', 573, 615, 42],\n",
- " [63, '09:54', '10:05', 594, 605, 11],\n",
- " [64, '10:11', '10:38', 611, 638, 27],\n",
- " [65, '10:18', '11:00', 618, 660, 42],\n",
- " [66, '10:21', '10:47', 621, 647, 26],\n",
- " [67, '10:25', '11:04', 625, 664, 39],\n",
- " [68, '10:26', '11:08', 626, 668, 42],\n",
- " [69, '10:44', '12:11', 644, 731, 87],\n",
- " [70, '11:00', '11:16', 660, 676, 16],\n",
- " [71, '11:15', '11:54', 675, 714, 39],\n",
- " [72, '11:16', '11:28', 676, 688, 12],\n",
- " [73, '11:20', '11:30', 680, 690, 10],\n",
- " [74, '11:21', '11:47', 681, 707, 26],\n",
- " [75, '11:25', '12:04', 685, 724, 39],\n",
- " [76, '11:34', '11:45', 694, 705, 11],\n",
- " [77, '11:35', '12:14', 695, 734, 39],\n",
- " [78, '11:41', '12:23', 701, 743, 42],\n",
- " [79, '11:44', '12:35', 704, 755, 51],\n",
- " [80, '11:46', '11:58', 706, 718, 12],\n",
- " [81, '12:00', '12:10', 720, 730, 10],\n",
- " [82, '12:04', '12:15', 724, 735, 11],\n",
- " [83, '12:04', '13:04', 724, 784, 60],\n",
- " [84, '12:11', '12:38', 731, 758, 27],\n",
- " [85, '12:15', '12:54', 735, 774, 39],\n",
- " [86, '12:25', '13:10', 745, 790, 45],\n",
- " [87, '12:30', '12:40', 750, 760, 10],\n",
- " [88, '12:34', '13:58', 754, 838, 84],\n",
- " [89, '12:38', '13:25', 758, 805, 47],\n",
- " [90, '12:48', '13:35', 768, 815, 47],\n",
- " [91, '13:00', '13:16', 780, 796, 16],\n",
- " [92, '13:05', '13:44', 785, 824, 39],\n",
- " [93, '13:08', '13:55', 788, 835, 47],\n",
- " [94, '13:14', '14:38', 794, 878, 84],\n",
- " [95, '13:23', '13:49', 803, 829, 26],\n",
- " [96, '13:25', '14:04', 805, 844, 39],\n",
- " [97, '13:28', '14:54', 808, 894, 86],\n",
- " [98, '13:31', '13:43', 811, 823, 12],\n",
- " [99, '13:34', '14:58', 814, 898, 84],\n",
- " [100, '13:38', '14:25', 818, 865, 47],\n",
- " [101, '13:38', '15:04', 818, 904, 86],\n",
- " [102, '13:39', '14:33', 819, 873, 54],\n",
- " [103, '13:40', '13:50', 820, 830, 10],\n",
- " [104, '13:43', '14:10', 823, 850, 27],\n",
- " [105, '13:48', '14:35', 828, 875, 47],\n",
- " [106, '13:48', '14:35', 828, 875, 47],\n",
- " [107, '13:53', '14:40', 833, 880, 47],\n",
- " [108, '13:58', '15:24', 838, 924, 86],\n",
- " [109, '13:58', '14:25', 838, 865, 27],\n",
- " [110, '14:00', '14:16', 840, 856, 16],\n",
- " [111, '14:13', '15:00', 853, 900, 47],\n",
- " [112, '14:20', '15:31', 860, 931, 71],\n",
- " [113, '14:25', '15:02', 865, 902, 37],\n",
- " [114, '14:34', '14:45', 874, 885, 11],\n",
- " [115, '14:40', '15:51', 880, 951, 71],\n",
- " [116, '14:40', '14:56', 880, 896, 16],\n",
- " [117, '14:46', '14:58', 886, 898, 12],\n",
- " [118, '14:49', '15:43', 889, 943, 54],\n",
- " [119, '14:52', '15:21', 892, 921, 29],\n",
- " [120, '14:58', '16:24', 898, 984, 86],\n",
- " [121, '14:59', '15:53', 899, 953, 54],\n",
- " [122, '15:00', '15:10', 900, 910, 10],\n",
- " [123, '15:00', '15:35', 900, 935, 35],\n",
- " [124, '15:08', '15:45', 908, 945, 37],\n",
- " [125, '15:12', '15:36', 912, 936, 24],\n",
- " [126, '15:18', '16:05', 918, 965, 47],\n",
- " [127, '15:24', '16:05', 924, 965, 41],\n",
- " [128, '15:31', '15:43', 931, 943, 12],\n",
- " [129, '15:35', '15:54', 935, 954, 19],\n",
- " [130, '15:36', '16:21', 936, 981, 45],\n",
- " [131, '15:39', '16:33', 939, 993, 54],\n",
- " [132, '15:48', '16:35', 948, 995, 47],\n",
- " [133, '15:50', '17:01', 950, 1021, 71],\n",
- " [134, '16:03', '16:50', 963, 1010, 47],\n",
- " [135, '16:18', '17:44', 978, 1064, 86],\n",
- " [136, '16:24', '17:05', 984, 1025, 41],\n",
- " [137, '16:28', '17:15', 988, 1035, 47],\n",
- " [138, '16:34', '17:15', 994, 1035, 41],\n",
- " [139, '16:38', '17:25', 998, 1045, 47],\n",
- " [140, '16:40', '16:56', 1000, 1016, 16],\n",
- " [141, '16:45', '17:04', 1005, 1024, 19],\n",
- " [142, '16:52', '17:36', 1012, 1056, 44],\n",
- " [143, '16:58', '17:45', 1018, 1065, 47],\n",
- " [144, '17:04', '18:30', 1024, 1110, 86],\n",
- " [145, '17:04', '17:45', 1024, 1065, 41],\n",
- " [146, '17:09', '18:03', 1029, 1083, 54],\n",
- " [147, '17:18', '18:44', 1038, 1124, 86],\n",
- " [148, '17:28', '18:15', 1048, 1095, 47],\n",
- " [149, '17:29', '18:41', 1049, 1121, 72],\n",
- " [150, '17:36', '18:21', 1056, 1101, 45],\n",
- " [151, '17:38', '18:25', 1058, 1105, 47],\n",
- " [152, '17:40', '17:56', 1060, 1076, 16],\n",
- " [153, '17:45', '18:04', 1065, 1084, 19],\n",
- " [154, '17:46', '17:58', 1066, 1078, 12],\n",
- " [155, '17:48', '18:35', 1068, 1115, 47],\n",
- " [156, '17:49', '18:43', 1069, 1123, 54],\n",
- " [157, '17:55', '18:14', 1075, 1094, 19],\n",
- " [158, '17:58', '18:45', 1078, 1125, 47],\n",
- " [159, '18:00', '19:11', 1080, 1151, 71],\n",
- " [160, '18:04', '18:45', 1084, 1125, 41],\n",
- " [161, '18:09', '19:03', 1089, 1143, 54],\n",
- " [162, '18:13', '19:00', 1093, 1140, 47],\n",
- " [163, '18:13', '18:40', 1093, 1120, 27],\n",
- " [164, '18:19', '19:13', 1099, 1153, 54],\n",
- " [165, '18:28', '19:25', 1108, 1165, 57],\n",
- " [166, '18:48', '19:28', 1128, 1168, 40],\n",
- " [167, '19:03', '19:45', 1143, 1185, 42],\n",
- " [168, '19:20', '19:36', 1160, 1176, 16],\n",
- " [169, '19:21', '19:31', 1161, 1171, 10],\n",
- " [170, '19:25', '20:04', 1165, 1204, 39],\n",
- " [171, '19:26', '20:08', 1166, 1208, 42],\n",
- " [172, '19:30', '19:40', 1170, 1180, 10],\n",
- " [173, '19:44', '20:33', 1184, 1233, 49],\n",
- " [174, '19:48', '21:09', 1188, 1269, 81],\n",
- " [175, '19:53', '21:02', 1193, 1262, 69],\n",
- " [176, '20:04', '20:29', 1204, 1229, 25],\n",
- " [177, '20:17', '21:03', 1217, 1263, 46],\n",
- " [178, '20:20', '20:57', 1220, 1257, 37],\n",
- " [179, '20:29', '21:18', 1229, 1278, 49],\n",
- " [180, '20:35', '21:54', 1235, 1314, 79],\n",
- " [181, '20:40', '20:50', 1240, 1250, 10],\n",
- " [182, '20:47', '21:42', 1247, 1302, 55],\n",
- " [183, '21:00', '21:10', 1260, 1270, 10],\n",
- " [184, '21:07', '21:44', 1267, 1304, 37],\n",
- " [185, '21:14', '22:03', 1274, 1323, 49],\n",
- " [186, '21:39', '21:55', 1299, 1315, 16],\n",
- " [187, '21:40', '22:17', 1300, 1337, 37],\n",
- " [188, '21:40', '21:50', 1300, 1310, 10],\n",
- " [189, '21:48', '22:03', 1308, 1323, 15],\n",
- " [190, '22:17', '23:03', 1337, 1383, 46],\n",
- " [191, '22:43', '23:08', 1363, 1388, 25],\n",
- " [192, '23:35', '01:05', 1415, 1505, 90],\n",
- " [193, '23:46', '00:01', 1426, 1441, 15],\n",
- " [194, '23:47', '00:33', 1427, 1473, 46],\n",
- " [195, '23:52', '00:24', 1432, 1464, 32],\n",
- " [196, '23:58', '00:38', 1438, 1478, 40],\n",
- " [197, '00:02', '00:12', 1442, 1452, 10],\n",
- " [198, '00:07', '00:39', 1447, 1479, 32],\n",
- " [199, '00:25', '01:12', 1465, 1512, 47]\n",
+ " [0, \"04:30\", \"04:53\", 270, 293, 23],\n",
+ " [1, \"04:46\", \"04:56\", 286, 296, 10],\n",
+ " [2, \"04:52\", \"05:56\", 292, 356, 64],\n",
+ " [3, \"04:53\", \"05:23\", 293, 323, 30],\n",
+ " [4, \"05:07\", \"05:44\", 307, 344, 37],\n",
+ " [5, \"05:10\", \"06:06\", 310, 366, 56],\n",
+ " [6, \"05:18\", \"06:03\", 318, 363, 45],\n",
+ " [7, \"05:30\", \"05:40\", 330, 340, 10],\n",
+ " [8, \"05:30\", \"05:40\", 330, 340, 10],\n",
+ " [9, \"05:33\", \"06:15\", 333, 375, 42],\n",
+ " [10, \"05:40\", \"05:50\", 340, 350, 10],\n",
+ " [11, \"05:43\", \"06:08\", 343, 368, 25],\n",
+ " [12, \"05:54\", \"07:20\", 354, 440, 86],\n",
+ " [13, \"06:04\", \"06:37\", 364, 397, 33],\n",
+ " [14, \"06:13\", \"06:58\", 373, 418, 45],\n",
+ " [15, \"06:14\", \"07:40\", 374, 460, 86],\n",
+ " [16, \"06:15\", \"07:15\", 375, 435, 60],\n",
+ " [17, \"06:16\", \"06:26\", 376, 386, 10],\n",
+ " [18, \"06:17\", \"06:34\", 377, 394, 17],\n",
+ " [19, \"06:20\", \"06:36\", 380, 396, 16],\n",
+ " [20, \"06:22\", \"07:06\", 382, 426, 44],\n",
+ " [21, \"06:24\", \"07:50\", 384, 470, 86],\n",
+ " [22, \"06:27\", \"06:44\", 387, 404, 17],\n",
+ " [23, \"06:30\", \"06:40\", 390, 400, 10],\n",
+ " [24, \"06:31\", \"06:43\", 391, 403, 12],\n",
+ " [25, \"06:33\", \"07:53\", 393, 473, 80],\n",
+ " [26, \"06:34\", \"07:09\", 394, 429, 35],\n",
+ " [27, \"06:40\", \"06:56\", 400, 416, 16],\n",
+ " [28, \"06:44\", \"07:17\", 404, 437, 33],\n",
+ " [29, \"06:46\", \"06:58\", 406, 418, 12],\n",
+ " [30, \"06:49\", \"07:43\", 409, 463, 54],\n",
+ " [31, \"06:50\", \"07:05\", 410, 425, 15],\n",
+ " [32, \"06:52\", \"07:36\", 412, 456, 44],\n",
+ " [33, \"06:54\", \"07:27\", 414, 447, 33],\n",
+ " [34, \"06:56\", \"08:23\", 416, 503, 87],\n",
+ " [35, \"07:04\", \"07:44\", 424, 464, 40],\n",
+ " [36, \"07:11\", \"08:36\", 431, 516, 85],\n",
+ " [37, \"07:17\", \"07:35\", 437, 455, 18],\n",
+ " [38, \"07:22\", \"08:06\", 442, 486, 44],\n",
+ " [39, \"07:27\", \"08:15\", 447, 495, 48],\n",
+ " [40, \"07:35\", \"07:45\", 455, 465, 10],\n",
+ " [41, \"07:43\", \"08:08\", 463, 488, 25],\n",
+ " [42, \"07:50\", \"08:37\", 470, 517, 47],\n",
+ " [43, \"07:58\", \"08:45\", 478, 525, 47],\n",
+ " [44, \"08:00\", \"08:35\", 480, 515, 35],\n",
+ " [45, \"08:06\", \"08:51\", 486, 531, 45],\n",
+ " [46, \"08:10\", \"08:45\", 490, 525, 35],\n",
+ " [47, \"08:15\", \"08:30\", 495, 510, 15],\n",
+ " [48, \"08:16\", \"09:00\", 496, 540, 44],\n",
+ " [49, \"08:18\", \"09:16\", 498, 556, 58],\n",
+ " [50, \"08:20\", \"08:36\", 500, 516, 16],\n",
+ " [51, \"08:27\", \"09:07\", 507, 547, 40],\n",
+ " [52, \"08:30\", \"08:45\", 510, 525, 15],\n",
+ " [53, \"08:35\", \"09:15\", 515, 555, 40],\n",
+ " [54, \"08:46\", \"09:30\", 526, 570, 44],\n",
+ " [55, \"08:51\", \"09:17\", 531, 557, 26],\n",
+ " [56, \"08:55\", \"09:15\", 535, 555, 20],\n",
+ " [57, \"08:58\", \"09:38\", 538, 578, 40],\n",
+ " [58, \"09:00\", \"09:35\", 540, 575, 35],\n",
+ " [59, \"09:00\", \"09:16\", 540, 556, 16],\n",
+ " [60, \"09:20\", \"09:36\", 560, 576, 16],\n",
+ " [61, \"09:31\", \"09:43\", 571, 583, 12],\n",
+ " [62, \"09:33\", \"10:15\", 573, 615, 42],\n",
+ " [63, \"09:54\", \"10:05\", 594, 605, 11],\n",
+ " [64, \"10:11\", \"10:38\", 611, 638, 27],\n",
+ " [65, \"10:18\", \"11:00\", 618, 660, 42],\n",
+ " [66, \"10:21\", \"10:47\", 621, 647, 26],\n",
+ " [67, \"10:25\", \"11:04\", 625, 664, 39],\n",
+ " [68, \"10:26\", \"11:08\", 626, 668, 42],\n",
+ " [69, \"10:44\", \"12:11\", 644, 731, 87],\n",
+ " [70, \"11:00\", \"11:16\", 660, 676, 16],\n",
+ " [71, \"11:15\", \"11:54\", 675, 714, 39],\n",
+ " [72, \"11:16\", \"11:28\", 676, 688, 12],\n",
+ " [73, \"11:20\", \"11:30\", 680, 690, 10],\n",
+ " [74, \"11:21\", \"11:47\", 681, 707, 26],\n",
+ " [75, \"11:25\", \"12:04\", 685, 724, 39],\n",
+ " [76, \"11:34\", \"11:45\", 694, 705, 11],\n",
+ " [77, \"11:35\", \"12:14\", 695, 734, 39],\n",
+ " [78, \"11:41\", \"12:23\", 701, 743, 42],\n",
+ " [79, \"11:44\", \"12:35\", 704, 755, 51],\n",
+ " [80, \"11:46\", \"11:58\", 706, 718, 12],\n",
+ " [81, \"12:00\", \"12:10\", 720, 730, 10],\n",
+ " [82, \"12:04\", \"12:15\", 724, 735, 11],\n",
+ " [83, \"12:04\", \"13:04\", 724, 784, 60],\n",
+ " [84, \"12:11\", \"12:38\", 731, 758, 27],\n",
+ " [85, \"12:15\", \"12:54\", 735, 774, 39],\n",
+ " [86, \"12:25\", \"13:10\", 745, 790, 45],\n",
+ " [87, \"12:30\", \"12:40\", 750, 760, 10],\n",
+ " [88, \"12:34\", \"13:58\", 754, 838, 84],\n",
+ " [89, \"12:38\", \"13:25\", 758, 805, 47],\n",
+ " [90, \"12:48\", \"13:35\", 768, 815, 47],\n",
+ " [91, \"13:00\", \"13:16\", 780, 796, 16],\n",
+ " [92, \"13:05\", \"13:44\", 785, 824, 39],\n",
+ " [93, \"13:08\", \"13:55\", 788, 835, 47],\n",
+ " [94, \"13:14\", \"14:38\", 794, 878, 84],\n",
+ " [95, \"13:23\", \"13:49\", 803, 829, 26],\n",
+ " [96, \"13:25\", \"14:04\", 805, 844, 39],\n",
+ " [97, \"13:28\", \"14:54\", 808, 894, 86],\n",
+ " [98, \"13:31\", \"13:43\", 811, 823, 12],\n",
+ " [99, \"13:34\", \"14:58\", 814, 898, 84],\n",
+ " [100, \"13:38\", \"14:25\", 818, 865, 47],\n",
+ " [101, \"13:38\", \"15:04\", 818, 904, 86],\n",
+ " [102, \"13:39\", \"14:33\", 819, 873, 54],\n",
+ " [103, \"13:40\", \"13:50\", 820, 830, 10],\n",
+ " [104, \"13:43\", \"14:10\", 823, 850, 27],\n",
+ " [105, \"13:48\", \"14:35\", 828, 875, 47],\n",
+ " [106, \"13:48\", \"14:35\", 828, 875, 47],\n",
+ " [107, \"13:53\", \"14:40\", 833, 880, 47],\n",
+ " [108, \"13:58\", \"15:24\", 838, 924, 86],\n",
+ " [109, \"13:58\", \"14:25\", 838, 865, 27],\n",
+ " [110, \"14:00\", \"14:16\", 840, 856, 16],\n",
+ " [111, \"14:13\", \"15:00\", 853, 900, 47],\n",
+ " [112, \"14:20\", \"15:31\", 860, 931, 71],\n",
+ " [113, \"14:25\", \"15:02\", 865, 902, 37],\n",
+ " [114, \"14:34\", \"14:45\", 874, 885, 11],\n",
+ " [115, \"14:40\", \"15:51\", 880, 951, 71],\n",
+ " [116, \"14:40\", \"14:56\", 880, 896, 16],\n",
+ " [117, \"14:46\", \"14:58\", 886, 898, 12],\n",
+ " [118, \"14:49\", \"15:43\", 889, 943, 54],\n",
+ " [119, \"14:52\", \"15:21\", 892, 921, 29],\n",
+ " [120, \"14:58\", \"16:24\", 898, 984, 86],\n",
+ " [121, \"14:59\", \"15:53\", 899, 953, 54],\n",
+ " [122, \"15:00\", \"15:10\", 900, 910, 10],\n",
+ " [123, \"15:00\", \"15:35\", 900, 935, 35],\n",
+ " [124, \"15:08\", \"15:45\", 908, 945, 37],\n",
+ " [125, \"15:12\", \"15:36\", 912, 936, 24],\n",
+ " [126, \"15:18\", \"16:05\", 918, 965, 47],\n",
+ " [127, \"15:24\", \"16:05\", 924, 965, 41],\n",
+ " [128, \"15:31\", \"15:43\", 931, 943, 12],\n",
+ " [129, \"15:35\", \"15:54\", 935, 954, 19],\n",
+ " [130, \"15:36\", \"16:21\", 936, 981, 45],\n",
+ " [131, \"15:39\", \"16:33\", 939, 993, 54],\n",
+ " [132, \"15:48\", \"16:35\", 948, 995, 47],\n",
+ " [133, \"15:50\", \"17:01\", 950, 1021, 71],\n",
+ " [134, \"16:03\", \"16:50\", 963, 1010, 47],\n",
+ " [135, \"16:18\", \"17:44\", 978, 1064, 86],\n",
+ " [136, \"16:24\", \"17:05\", 984, 1025, 41],\n",
+ " [137, \"16:28\", \"17:15\", 988, 1035, 47],\n",
+ " [138, \"16:34\", \"17:15\", 994, 1035, 41],\n",
+ " [139, \"16:38\", \"17:25\", 998, 1045, 47],\n",
+ " [140, \"16:40\", \"16:56\", 1000, 1016, 16],\n",
+ " [141, \"16:45\", \"17:04\", 1005, 1024, 19],\n",
+ " [142, \"16:52\", \"17:36\", 1012, 1056, 44],\n",
+ " [143, \"16:58\", \"17:45\", 1018, 1065, 47],\n",
+ " [144, \"17:04\", \"18:30\", 1024, 1110, 86],\n",
+ " [145, \"17:04\", \"17:45\", 1024, 1065, 41],\n",
+ " [146, \"17:09\", \"18:03\", 1029, 1083, 54],\n",
+ " [147, \"17:18\", \"18:44\", 1038, 1124, 86],\n",
+ " [148, \"17:28\", \"18:15\", 1048, 1095, 47],\n",
+ " [149, \"17:29\", \"18:41\", 1049, 1121, 72],\n",
+ " [150, \"17:36\", \"18:21\", 1056, 1101, 45],\n",
+ " [151, \"17:38\", \"18:25\", 1058, 1105, 47],\n",
+ " [152, \"17:40\", \"17:56\", 1060, 1076, 16],\n",
+ " [153, \"17:45\", \"18:04\", 1065, 1084, 19],\n",
+ " [154, \"17:46\", \"17:58\", 1066, 1078, 12],\n",
+ " [155, \"17:48\", \"18:35\", 1068, 1115, 47],\n",
+ " [156, \"17:49\", \"18:43\", 1069, 1123, 54],\n",
+ " [157, \"17:55\", \"18:14\", 1075, 1094, 19],\n",
+ " [158, \"17:58\", \"18:45\", 1078, 1125, 47],\n",
+ " [159, \"18:00\", \"19:11\", 1080, 1151, 71],\n",
+ " [160, \"18:04\", \"18:45\", 1084, 1125, 41],\n",
+ " [161, \"18:09\", \"19:03\", 1089, 1143, 54],\n",
+ " [162, \"18:13\", \"19:00\", 1093, 1140, 47],\n",
+ " [163, \"18:13\", \"18:40\", 1093, 1120, 27],\n",
+ " [164, \"18:19\", \"19:13\", 1099, 1153, 54],\n",
+ " [165, \"18:28\", \"19:25\", 1108, 1165, 57],\n",
+ " [166, \"18:48\", \"19:28\", 1128, 1168, 40],\n",
+ " [167, \"19:03\", \"19:45\", 1143, 1185, 42],\n",
+ " [168, \"19:20\", \"19:36\", 1160, 1176, 16],\n",
+ " [169, \"19:21\", \"19:31\", 1161, 1171, 10],\n",
+ " [170, \"19:25\", \"20:04\", 1165, 1204, 39],\n",
+ " [171, \"19:26\", \"20:08\", 1166, 1208, 42],\n",
+ " [172, \"19:30\", \"19:40\", 1170, 1180, 10],\n",
+ " [173, \"19:44\", \"20:33\", 1184, 1233, 49],\n",
+ " [174, \"19:48\", \"21:09\", 1188, 1269, 81],\n",
+ " [175, \"19:53\", \"21:02\", 1193, 1262, 69],\n",
+ " [176, \"20:04\", \"20:29\", 1204, 1229, 25],\n",
+ " [177, \"20:17\", \"21:03\", 1217, 1263, 46],\n",
+ " [178, \"20:20\", \"20:57\", 1220, 1257, 37],\n",
+ " [179, \"20:29\", \"21:18\", 1229, 1278, 49],\n",
+ " [180, \"20:35\", \"21:54\", 1235, 1314, 79],\n",
+ " [181, \"20:40\", \"20:50\", 1240, 1250, 10],\n",
+ " [182, \"20:47\", \"21:42\", 1247, 1302, 55],\n",
+ " [183, \"21:00\", \"21:10\", 1260, 1270, 10],\n",
+ " [184, \"21:07\", \"21:44\", 1267, 1304, 37],\n",
+ " [185, \"21:14\", \"22:03\", 1274, 1323, 49],\n",
+ " [186, \"21:39\", \"21:55\", 1299, 1315, 16],\n",
+ " [187, \"21:40\", \"22:17\", 1300, 1337, 37],\n",
+ " [188, \"21:40\", \"21:50\", 1300, 1310, 10],\n",
+ " [189, \"21:48\", \"22:03\", 1308, 1323, 15],\n",
+ " [190, \"22:17\", \"23:03\", 1337, 1383, 46],\n",
+ " [191, \"22:43\", \"23:08\", 1363, 1388, 25],\n",
+ " [192, \"23:35\", \"01:05\", 1415, 1505, 90],\n",
+ " [193, \"23:46\", \"00:01\", 1426, 1441, 15],\n",
+ " [194, \"23:47\", \"00:33\", 1427, 1473, 46],\n",
+ " [195, \"23:52\", \"00:24\", 1432, 1464, 32],\n",
+ " [196, \"23:58\", \"00:38\", 1438, 1478, 40],\n",
+ " [197, \"00:02\", \"00:12\", 1442, 1452, 10],\n",
+ " [198, \"00:07\", \"00:39\", 1447, 1479, 32],\n",
+ " [199, \"00:25\", \"01:12\", 1465, 1512, 47],\n",
"] # yapf:disable\n",
"\n",
"SAMPLE_SHIFTS_LARGE = [\n",
- " [0, '04:18', '05:00', 258, 300, 42],\n",
- " [1, '04:27', '05:08', 267, 308, 41],\n",
- " [2, '04:29', '05:26', 269, 326, 57],\n",
- " [3, '04:29', '04:55', 269, 295, 26],\n",
- " [4, '04:30', '04:53', 270, 293, 23],\n",
- " [5, '04:30', '04:51', 270, 291, 21],\n",
- " [6, '04:31', '04:53', 271, 293, 22],\n",
- " [7, '04:33', '05:15', 273, 315, 42],\n",
- " [8, '04:34', '04:44', 274, 284, 10],\n",
- " [9, '04:34', '05:03', 274, 303, 29],\n",
- " [10, '04:35', '04:50', 275, 290, 15],\n",
- " [11, '04:36', '04:46', 276, 286, 10],\n",
- " [12, '04:37', '05:18', 277, 318, 41],\n",
- " [13, '04:41', '05:13', 281, 313, 32],\n",
- " [14, '04:42', '05:23', 282, 323, 41],\n",
- " [15, '04:43', '04:53', 283, 293, 10],\n",
- " [16, '04:44', '05:45', 284, 345, 61],\n",
- " [17, '04:45', '05:11', 285, 311, 26],\n",
- " [18, '04:46', '05:01', 286, 301, 15],\n",
- " [19, '04:46', '04:56', 286, 296, 10],\n",
- " [20, '04:47', '05:14', 287, 314, 27],\n",
- " [21, '04:48', '05:30', 288, 330, 42],\n",
- " [22, '04:49', '05:41', 289, 341, 52],\n",
- " [23, '04:49', '05:18', 289, 318, 29],\n",
- " [24, '04:50', '05:33', 290, 333, 43],\n",
- " [25, '04:52', '05:56', 292, 356, 64],\n",
- " [26, '04:52', '05:07', 292, 307, 15],\n",
- " [27, '04:53', '05:19', 293, 319, 26],\n",
- " [28, '04:53', '05:23', 293, 323, 30],\n",
- " [29, '04:55', '05:27', 295, 327, 32],\n",
- " [30, '04:57', '05:38', 297, 338, 41],\n",
- " [31, '05:00', '06:00', 300, 360, 60],\n",
- " [32, '05:00', '05:54', 300, 354, 54],\n",
- " [33, '05:01', '05:33', 301, 333, 32],\n",
- " [34, '05:01', '05:26', 301, 326, 25],\n",
- " [35, '05:02', '05:29', 302, 329, 27],\n",
- " [36, '05:02', '05:12', 302, 312, 10],\n",
- " [37, '05:03', '05:45', 303, 345, 42],\n",
- " [38, '05:03', '05:18', 303, 318, 15],\n",
- " [39, '05:03', '06:28', 303, 388, 85],\n",
- " [40, '05:03', '05:13', 303, 313, 10],\n",
- " [41, '05:04', '06:24', 304, 384, 80],\n",
- " [42, '05:07', '05:44', 307, 344, 37],\n",
- " [43, '05:08', '05:48', 308, 348, 40],\n",
- " [44, '05:10', '06:06', 310, 366, 56],\n",
- " [45, '05:11', '05:37', 311, 337, 26],\n",
- " [46, '05:11', '05:53', 311, 353, 42],\n",
- " [47, '05:13', '06:15', 313, 375, 62],\n",
- " [48, '05:13', '05:38', 313, 338, 25],\n",
- " [49, '05:16', '05:44', 316, 344, 28],\n",
- " [50, '05:17', '05:27', 317, 327, 10],\n",
- " [51, '05:18', '06:40', 318, 400, 82],\n",
- " [52, '05:18', '06:03', 318, 363, 45],\n",
- " [53, '05:18', '06:11', 318, 371, 53],\n",
- " [54, '05:18', '06:00', 318, 360, 42],\n",
- " [55, '05:19', '06:34', 319, 394, 75],\n",
- " [56, '05:20', '06:17', 320, 377, 57],\n",
- " [57, '05:22', '05:59', 322, 359, 37],\n",
- " [58, '05:24', '05:48', 324, 348, 24],\n",
- " [59, '05:25', '05:40', 325, 340, 15],\n",
- " [60, '05:26', '06:08', 326, 368, 42],\n",
- " [61, '05:27', '06:30', 327, 390, 63],\n",
- " [62, '05:27', '05:54', 327, 354, 27],\n",
- " [63, '05:28', '05:53', 328, 353, 25],\n",
- " [64, '05:29', '05:44', 329, 344, 15],\n",
- " [65, '05:30', '05:40', 330, 340, 10],\n",
- " [66, '05:30', '05:40', 330, 340, 10],\n",
- " [67, '05:30', '05:40', 330, 340, 10],\n",
- " [68, '05:32', '06:53', 332, 413, 81],\n",
- " [69, '05:33', '07:00', 333, 420, 87],\n",
- " [70, '05:33', '06:15', 333, 375, 42],\n",
- " [71, '05:33', '05:47', 333, 347, 14],\n",
- " [72, '05:37', '06:13', 337, 373, 36],\n",
- " [73, '05:37', '06:05', 337, 365, 28],\n",
- " [74, '05:38', '06:33', 338, 393, 55],\n",
- " [75, '05:38', '06:04', 338, 364, 26],\n",
- " [76, '05:38', '06:18', 338, 378, 40],\n",
- " [77, '05:39', '05:54', 339, 354, 15],\n",
- " [78, '05:40', '05:56', 340, 356, 16],\n",
- " [79, '05:40', '06:41', 340, 401, 61],\n",
- " [80, '05:40', '05:50', 340, 350, 10],\n",
- " [81, '05:41', '06:23', 341, 383, 42],\n",
- " [82, '05:41', '06:01', 341, 361, 20],\n",
- " [83, '05:43', '06:08', 343, 368, 25],\n",
- " [84, '05:44', '07:10', 344, 430, 86],\n",
- " [85, '05:44', '05:55', 344, 355, 11],\n",
- " [86, '05:45', '06:44', 345, 404, 59],\n",
- " [87, '05:47', '06:17', 347, 377, 30],\n",
- " [88, '05:48', '07:08', 348, 428, 80],\n",
- " [89, '05:48', '06:30', 348, 390, 42],\n",
- " [90, '05:50', '06:50', 350, 410, 60],\n",
- " [91, '05:50', '06:00', 350, 360, 10],\n",
- " [92, '05:50', '06:00', 350, 360, 10],\n",
- " [93, '05:50', '06:51', 350, 411, 61],\n",
- " [94, '05:52', '06:33', 352, 393, 41],\n",
- " [95, '05:52', '06:36', 352, 396, 44],\n",
- " [96, '05:52', '06:23', 352, 383, 31],\n",
- " [97, '05:54', '06:14', 354, 374, 20],\n",
- " [98, '05:54', '07:20', 354, 440, 86],\n",
- " [99, '05:55', '06:40', 355, 400, 45],\n",
- " [100, '05:55', '06:27', 355, 387, 32],\n",
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+ " [1193, \"20:00\", \"20:10\", 1200, 1210, 10],\n",
+ " [1194, \"20:03\", \"20:42\", 1203, 1242, 39],\n",
+ " [1195, \"20:03\", \"21:24\", 1203, 1284, 81],\n",
+ " [1196, \"20:04\", \"20:29\", 1204, 1229, 25],\n",
+ " [1197, \"20:05\", \"20:48\", 1205, 1248, 43],\n",
+ " [1198, \"20:07\", \"20:44\", 1207, 1244, 37],\n",
+ " [1199, \"20:08\", \"20:40\", 1208, 1240, 32],\n",
+ " [1200, \"20:08\", \"20:35\", 1208, 1235, 27],\n",
+ " [1201, \"20:10\", \"20:20\", 1210, 1220, 10],\n",
+ " [1202, \"20:10\", \"20:22\", 1210, 1222, 12],\n",
+ " [1203, \"20:11\", \"20:47\", 1211, 1247, 36],\n",
+ " [1204, \"20:14\", \"21:04\", 1214, 1264, 50],\n",
+ " [1205, \"20:14\", \"21:03\", 1214, 1263, 49],\n",
+ " [1206, \"20:17\", \"21:03\", 1217, 1263, 46],\n",
+ " [1207, \"20:18\", \"21:39\", 1218, 1299, 81],\n",
+ " [1208, \"20:20\", \"20:30\", 1220, 1230, 10],\n",
+ " [1209, \"20:20\", \"20:57\", 1220, 1257, 37],\n",
+ " [1210, \"20:20\", \"20:36\", 1220, 1236, 16],\n",
+ " [1211, \"20:22\", \"20:59\", 1222, 1259, 37],\n",
+ " [1212, \"20:22\", \"20:42\", 1222, 1242, 20],\n",
+ " [1213, \"20:24\", \"20:49\", 1224, 1249, 25],\n",
+ " [1214, \"20:27\", \"21:22\", 1227, 1282, 55],\n",
+ " [1215, \"20:29\", \"21:18\", 1229, 1278, 49],\n",
+ " [1216, \"20:30\", \"21:07\", 1230, 1267, 37],\n",
+ " [1217, \"20:30\", \"20:40\", 1230, 1240, 10],\n",
+ " [1218, \"20:30\", \"20:40\", 1230, 1240, 10],\n",
+ " [1219, \"20:30\", \"21:40\", 1230, 1300, 70],\n",
+ " [1220, \"20:32\", \"21:18\", 1232, 1278, 46],\n",
+ " [1221, \"20:35\", \"21:54\", 1235, 1314, 79],\n",
+ " [1222, \"20:37\", \"21:14\", 1237, 1274, 37],\n",
+ " [1223, \"20:38\", \"21:08\", 1238, 1268, 30],\n",
+ " [1224, \"20:40\", \"20:50\", 1240, 1250, 10],\n",
+ " [1225, \"20:40\", \"21:17\", 1240, 1277, 37],\n",
+ " [1226, \"20:40\", \"20:56\", 1240, 1256, 16],\n",
+ " [1227, \"20:44\", \"21:33\", 1244, 1293, 49],\n",
+ " [1228, \"20:47\", \"21:33\", 1247, 1293, 46],\n",
+ " [1229, \"20:47\", \"21:42\", 1247, 1302, 55],\n",
+ " [1230, \"20:50\", \"21:00\", 1250, 1260, 10],\n",
+ " [1231, \"20:50\", \"22:00\", 1250, 1320, 70],\n",
+ " [1232, \"20:50\", \"22:09\", 1250, 1329, 79],\n",
+ " [1233, \"20:50\", \"21:27\", 1250, 1287, 37],\n",
+ " [1234, \"20:52\", \"21:29\", 1252, 1289, 37],\n",
+ " [1235, \"20:53\", \"21:20\", 1253, 1280, 27],\n",
+ " [1236, \"20:56\", \"21:11\", 1256, 1271, 15],\n",
+ " [1237, \"20:59\", \"21:48\", 1259, 1308, 49],\n",
+ " [1238, \"21:00\", \"21:10\", 1260, 1270, 10],\n",
+ " [1239, \"21:00\", \"21:37\", 1260, 1297, 37],\n",
+ " [1240, \"21:02\", \"21:48\", 1262, 1308, 46],\n",
+ " [1241, \"21:05\", \"22:24\", 1265, 1344, 79],\n",
+ " [1242, \"21:07\", \"21:44\", 1267, 1304, 37],\n",
+ " [1243, \"21:07\", \"22:02\", 1267, 1322, 55],\n",
+ " [1244, \"21:08\", \"21:38\", 1268, 1298, 30],\n",
+ " [1245, \"21:10\", \"22:25\", 1270, 1345, 75],\n",
+ " [1246, \"21:10\", \"21:20\", 1270, 1280, 10],\n",
+ " [1247, \"21:10\", \"21:47\", 1270, 1307, 37],\n",
+ " [1248, \"21:14\", \"22:03\", 1274, 1323, 49],\n",
+ " [1249, \"21:17\", \"22:03\", 1277, 1323, 46],\n",
+ " [1250, \"21:20\", \"22:18\", 1280, 1338, 58],\n",
+ " [1251, \"21:20\", \"21:57\", 1280, 1317, 37],\n",
+ " [1252, \"21:20\", \"21:30\", 1280, 1290, 10],\n",
+ " [1253, \"21:22\", \"21:59\", 1282, 1319, 37],\n",
+ " [1254, \"21:24\", \"21:49\", 1284, 1309, 25],\n",
+ " [1255, \"21:27\", \"22:21\", 1287, 1341, 54],\n",
+ " [1256, \"21:30\", \"22:07\", 1290, 1327, 37],\n",
+ " [1257, \"21:30\", \"22:20\", 1290, 1340, 50],\n",
+ " [1258, \"21:30\", \"21:40\", 1290, 1300, 10],\n",
+ " [1259, \"21:32\", \"22:18\", 1292, 1338, 46],\n",
+ " [1260, \"21:32\", \"22:01\", 1292, 1321, 29],\n",
+ " [1261, \"21:35\", \"22:54\", 1295, 1374, 79],\n",
+ " [1262, \"21:37\", \"22:14\", 1297, 1334, 37],\n",
+ " [1263, \"21:39\", \"21:55\", 1299, 1315, 16],\n",
+ " [1264, \"21:40\", \"22:17\", 1300, 1337, 37],\n",
+ " [1265, \"21:40\", \"21:50\", 1300, 1310, 10],\n",
+ " [1266, \"21:41\", \"22:08\", 1301, 1328, 27],\n",
+ " [1267, \"21:47\", \"22:16\", 1307, 1336, 29],\n",
+ " [1268, \"21:47\", \"22:51\", 1307, 1371, 64],\n",
+ " [1269, \"21:47\", \"22:33\", 1307, 1353, 46],\n",
+ " [1270, \"21:48\", \"22:03\", 1308, 1323, 15],\n",
+ " [1271, \"21:50\", \"22:55\", 1310, 1375, 65],\n",
+ " [1272, \"21:50\", \"22:27\", 1310, 1347, 37],\n",
+ " [1273, \"21:50\", \"22:00\", 1310, 1320, 10],\n",
+ " [1274, \"21:52\", \"22:29\", 1312, 1349, 37],\n",
+ " [1275, \"21:53\", \"22:19\", 1313, 1339, 26],\n",
+ " [1276, \"22:00\", \"22:38\", 1320, 1358, 38],\n",
+ " [1277, \"22:00\", \"22:10\", 1320, 1330, 10],\n",
+ " [1278, \"22:02\", \"22:12\", 1322, 1332, 10],\n",
+ " [1279, \"22:02\", \"22:48\", 1322, 1368, 46],\n",
+ " [1280, \"22:04\", \"22:31\", 1324, 1351, 27],\n",
+ " [1281, \"22:05\", \"23:24\", 1325, 1404, 79],\n",
+ " [1282, \"22:07\", \"22:44\", 1327, 1364, 37],\n",
+ " [1283, \"22:07\", \"22:39\", 1327, 1359, 32],\n",
+ " [1284, \"22:09\", \"22:25\", 1329, 1345, 16],\n",
+ " [1285, \"22:10\", \"23:25\", 1330, 1405, 75],\n",
+ " [1286, \"22:13\", \"22:38\", 1333, 1358, 25],\n",
+ " [1287, \"22:13\", \"22:53\", 1333, 1373, 40],\n",
+ " [1288, \"22:17\", \"22:27\", 1337, 1347, 10],\n",
+ " [1289, \"22:17\", \"23:03\", 1337, 1383, 46],\n",
+ " [1290, \"22:19\", \"22:46\", 1339, 1366, 27],\n",
+ " [1291, \"22:22\", \"22:59\", 1342, 1379, 37],\n",
+ " [1292, \"22:24\", \"22:48\", 1344, 1368, 24],\n",
+ " [1293, \"22:27\", \"22:52\", 1347, 1372, 25],\n",
+ " [1294, \"22:27\", \"23:21\", 1347, 1401, 54],\n",
+ " [1295, \"22:28\", \"23:08\", 1348, 1388, 40],\n",
+ " [1296, \"22:30\", \"23:17\", 1350, 1397, 47],\n",
+ " [1297, \"22:32\", \"22:42\", 1352, 1362, 10],\n",
+ " [1298, \"22:32\", \"23:11\", 1352, 1391, 39],\n",
+ " [1299, \"22:34\", \"23:01\", 1354, 1381, 27],\n",
+ " [1300, \"22:35\", \"23:54\", 1355, 1434, 79],\n",
+ " [1301, \"22:37\", \"23:14\", 1357, 1394, 37],\n",
+ " [1302, \"22:43\", \"23:23\", 1363, 1403, 40],\n",
+ " [1303, \"22:43\", \"23:08\", 1363, 1388, 25],\n",
+ " [1304, \"22:47\", \"23:33\", 1367, 1413, 46],\n",
+ " [1305, \"22:47\", \"22:57\", 1367, 1377, 10],\n",
+ " [1306, \"22:49\", \"23:16\", 1369, 1396, 27],\n",
+ " [1307, \"22:52\", \"23:29\", 1372, 1409, 37],\n",
+ " [1308, \"22:53\", \"23:15\", 1373, 1395, 22],\n",
+ " [1309, \"22:55\", \"23:55\", 1375, 1435, 60],\n",
+ " [1310, \"22:57\", \"23:51\", 1377, 1431, 54],\n",
+ " [1311, \"22:58\", \"23:38\", 1378, 1418, 40],\n",
+ " [1312, \"23:02\", \"23:41\", 1382, 1421, 39],\n",
+ " [1313, \"23:02\", \"23:12\", 1382, 1392, 10],\n",
+ " [1314, \"23:04\", \"23:31\", 1384, 1411, 27],\n",
+ " [1315, \"23:05\", \"00:24\", 1385, 1464, 79],\n",
+ " [1316, \"23:07\", \"23:44\", 1387, 1424, 37],\n",
+ " [1317, \"23:13\", \"23:53\", 1393, 1433, 40],\n",
+ " [1318, \"23:13\", \"23:38\", 1393, 1418, 25],\n",
+ " [1319, \"23:17\", \"00:03\", 1397, 1443, 46],\n",
+ " [1320, \"23:17\", \"23:27\", 1397, 1407, 10],\n",
+ " [1321, \"23:19\", \"23:46\", 1399, 1426, 27],\n",
+ " [1322, \"23:22\", \"23:59\", 1402, 1439, 37],\n",
+ " [1323, \"23:25\", \"00:25\", 1405, 1465, 60],\n",
+ " [1324, \"23:27\", \"00:21\", 1407, 1461, 54],\n",
+ " [1325, \"23:28\", \"00:08\", 1408, 1448, 40],\n",
+ " [1326, \"23:32\", \"23:42\", 1412, 1422, 10],\n",
+ " [1327, \"23:34\", \"00:01\", 1414, 1441, 27],\n",
+ " [1328, \"23:35\", \"01:05\", 1415, 1505, 90],\n",
+ " [1329, \"23:37\", \"00:09\", 1417, 1449, 32],\n",
+ " [1330, \"23:43\", \"00:23\", 1423, 1463, 40],\n",
+ " [1331, \"23:43\", \"00:08\", 1423, 1448, 25],\n",
+ " [1332, \"23:46\", \"00:01\", 1426, 1441, 15],\n",
+ " [1333, \"23:47\", \"23:57\", 1427, 1437, 10],\n",
+ " [1334, \"23:47\", \"00:33\", 1427, 1473, 46],\n",
+ " [1335, \"23:52\", \"00:24\", 1432, 1464, 32],\n",
+ " [1336, \"23:55\", \"00:49\", 1435, 1489, 54],\n",
+ " [1337, \"23:57\", \"00:57\", 1437, 1497, 60],\n",
+ " [1338, \"23:58\", \"00:38\", 1438, 1478, 40],\n",
+ " [1339, \"00:02\", \"00:12\", 1442, 1452, 10],\n",
+ " [1340, \"00:07\", \"00:39\", 1447, 1479, 32],\n",
+ " [1341, \"00:13\", \"00:38\", 1453, 1478, 25],\n",
+ " [1342, \"00:13\", \"00:51\", 1453, 1491, 38],\n",
+ " [1343, \"00:15\", \"01:14\", 1455, 1514, 59],\n",
+ " [1344, \"00:17\", \"01:23\", 1457, 1523, 66],\n",
+ " [1345, \"00:23\", \"00:33\", 1463, 1473, 10],\n",
+ " [1346, \"00:24\", \"00:40\", 1464, 1480, 16],\n",
+ " [1347, \"00:25\", \"01:12\", 1465, 1512, 47],\n",
+ " [1348, \"00:28\", \"01:07\", 1468, 1507, 39],\n",
+ " [1349, \"00:33\", \"01:05\", 1473, 1505, 32],\n",
+ " [1350, \"00:43\", \"01:21\", 1483, 1521, 38],\n",
+ " [1351, \"00:44\", \"00:54\", 1484, 1494, 10],\n",
+ " [1352, \"00:47\", \"01:09\", 1487, 1509, 22],\n",
+ " [1353, \"00:47\", \"01:26\", 1487, 1526, 39],\n",
+ " [1354, \"00:54\", \"01:04\", 1494, 1504, 10],\n",
+ " [1355, \"00:57\", \"01:07\", 1497, 1507, 10],\n",
"] # yapf:disable\n",
"\n",
"\n",
@@ -1750,17 +1749,16 @@
"\n",
" # Computed data.\n",
" total_driving_time = sum(shift[5] for shift in shifts)\n",
- " min_num_drivers = int(\n",
- " math.ceil(total_driving_time * 1.0 / max_driving_time))\n",
+ " min_num_drivers = int(math.ceil(total_driving_time * 1.0 / max_driving_time))\n",
" min_start_time = min(shift[3] for shift in shifts)\n",
" max_end_time = max(shift[4] for shift in shifts)\n",
"\n",
- " print('Bus driver scheduling')\n",
- " print(' num shifts =', num_shifts)\n",
- " print(' total driving time =', total_driving_time, 'minutes')\n",
- " print(' min num drivers =', min_num_drivers)\n",
- " print(' min start time =', min_start_time)\n",
- " print(' max end time =', max_end_time)\n",
+ " print(\"Bus driver scheduling\")\n",
+ " print(\" num shifts =\", num_shifts)\n",
+ " print(\" total driving time =\", total_driving_time, \"minutes\")\n",
+ " print(\" min num drivers =\", min_num_drivers)\n",
+ " print(\" min start time =\", min_start_time)\n",
+ " print(\" max end time =\", max_end_time)\n",
"\n",
" # We are going to build a flow from a the start of the day to the end\n",
" # of the day.\n",
@@ -1785,11 +1783,11 @@
" # Create all the shift variables before iterating on the transitions\n",
" # between these shifts.\n",
" for shift in range(num_shifts):\n",
- " driving_time[shift] = model.NewIntVar(0, max_driving_time, 'dt_%i' % shift)\n",
+ " driving_time[shift] = model.NewIntVar(0, max_driving_time, \"dt_%i\" % shift)\n",
" no_break_driving_time[shift] = model.NewIntVar(\n",
- " 0, max_driving_time_without_pauses, 'nbdt_%i' % shift)\n",
- " working_time[shift] = model.NewIntVar(\n",
- " 0, max_working_time, 'wt_%i' % shift)\n",
+ " 0, max_driving_time_without_pauses, \"nbdt_%i\" % shift\n",
+ " )\n",
+ " working_time[shift] = model.NewIntVar(0, max_working_time, \"wt_%i\" % shift)\n",
"\n",
" for shift in range(num_shifts):\n",
" duration = shifts[shift][5]\n",
@@ -1797,19 +1795,19 @@
" # Arc from source to shift.\n",
" # - set the working time of the driver\n",
" # - increase driving time and driving time since the last break\n",
- " source_lit = model.NewBoolVar('from source to %i' % shift)\n",
+ " source_lit = model.NewBoolVar(\"from source to %i\" % shift)\n",
" all_literals.append(source_lit)\n",
" outgoing_source_literals.append(source_lit)\n",
" incoming_literals[shift].append(source_lit)\n",
" model.Add(driving_time[shift] == duration).OnlyEnforceIf(source_lit)\n",
- " model.Add(no_break_driving_time[shift] == duration).OnlyEnforceIf(\n",
- " source_lit)\n",
+ " model.Add(no_break_driving_time[shift] == duration).OnlyEnforceIf(source_lit)\n",
" model.Add(working_time[shift] == duration + extra_time).OnlyEnforceIf(\n",
- " source_lit)\n",
+ " source_lit\n",
+ " )\n",
"\n",
" # Arc from shift to sink\n",
" # - checks that working time is greater than min_working_time\n",
- " sink_lit = model.NewBoolVar('from %i to sink' % shift)\n",
+ " sink_lit = model.NewBoolVar(\"from %i to sink\" % shift)\n",
" all_literals.append(sink_lit)\n",
" outgoing_literals[shift].append(sink_lit)\n",
" incoming_sink_literals.append(sink_lit)\n",
@@ -1822,25 +1820,29 @@
" if delay > max_break:\n",
" break # Assumes start times are sorted.\n",
" other_duration = shifts[other][5]\n",
- " lit = model.NewBoolVar('from %i to %i' % (shift, other))\n",
+ " lit = model.NewBoolVar(\"from %i to %i\" % (shift, other))\n",
" all_literals.append(lit)\n",
"\n",
" # Increase driving time\n",
- " model.Add(driving_time[other] ==\n",
- " driving_time[shift] + other_duration).OnlyEnforceIf(lit)\n",
+ " model.Add(\n",
+ " driving_time[other] == driving_time[shift] + other_duration\n",
+ " ).OnlyEnforceIf(lit)\n",
"\n",
" # Increase no_break_driving or reset it to 0 depending on the delay\n",
" if delay >= min_pause_after_4h:\n",
- " model.Add(no_break_driving_time[other] ==\n",
- " other_duration).OnlyEnforceIf(lit)\n",
+ " model.Add(no_break_driving_time[other] == other_duration).OnlyEnforceIf(\n",
+ " lit\n",
+ " )\n",
" else:\n",
" model.Add(\n",
- " no_break_driving_time[other] ==\n",
- " no_break_driving_time[shift] + other_duration).OnlyEnforceIf(lit)\n",
+ " no_break_driving_time[other]\n",
+ " == no_break_driving_time[shift] + other_duration\n",
+ " ).OnlyEnforceIf(lit)\n",
"\n",
" # Increase working time\n",
- " model.Add(working_time[other] == working_time[shift] + delay +\n",
- " other_duration).OnlyEnforceIf(lit)\n",
+ " model.Add(\n",
+ " working_time[other] == working_time[shift] + delay + other_duration\n",
+ " ).OnlyEnforceIf(lit)\n",
"\n",
" # Add arc\n",
" outgoing_literals[shift].append(lit)\n",
@@ -1852,16 +1854,16 @@
" model.Add(sum(incoming_literals[shift]) == 1)\n",
"\n",
" # Num drivers\n",
- " num_drivers = model.NewIntVar(min_num_drivers, min_num_drivers * 3, 'num_drivers')\n",
+ " num_drivers = model.NewIntVar(min_num_drivers, min_num_drivers * 3, \"num_drivers\")\n",
" model.Add(sum(incoming_sink_literals) == num_drivers)\n",
" model.Add(sum(outgoing_source_literals) == num_drivers)\n",
"\n",
- " model.Minimize(num_drivers) \n",
+ " model.Minimize(num_drivers)\n",
"\n",
" # Solve model.\n",
" solver = cp_model.CpSolver()\n",
" solver.parameters.log_search_progress = True\n",
- " #solver.parameters.num_search_workers = 16\n",
+ " # solver.parameters.num_search_workers = 16\n",
" # solver.parameters.boolean_encoding_level = 0\n",
" # solver.parameters.lns_focus_on_decision_variables = True\n",
" status = solver.Solve(model)\n",
@@ -1871,13 +1873,13 @@
"\n",
" # Display solution\n",
" optimal_num_drivers = int(solver.ObjectiveValue())\n",
- " print('minimal number of drivers =', optimal_num_drivers)\n",
+ " print(\"minimal number of drivers =\", optimal_num_drivers)\n",
" return optimal_num_drivers\n",
"\n",
"\n",
"def main(args):\n",
" \"\"\"Optimize the bus driver allocation in two passes.\"\"\"\n",
- " print('----------- first pass: minimize the number of drivers')\n",
+ " print(\"----------- first pass: minimize the number of drivers\")\n",
" shifts = []\n",
" if args.instance == 1:\n",
" shifts = SAMPLE_SHIFTS_SMALL\n",
@@ -1887,8 +1889,8 @@
" shifts = SAMPLE_SHIFTS_LARGE\n",
" num_drivers = find_minimum_number_of_drivers(shifts, args.params)\n",
"\n",
- " print('----------- second pass: minimize the sum of working times')\n",
- " #bus_driver_scheduling(False, num_drivers)\n",
+ " print(\"----------- second pass: minimize the sum of working times\")\n",
+ " # bus_driver_scheduling(False, num_drivers)\n",
"\n",
"\n",
"main(PARSER.parse_args())\n",
diff --git a/examples/notebook/examples/bus_driver_scheduling_sat.ipynb b/examples/notebook/examples/bus_driver_scheduling_sat.ipynb
index 8031e8d40e..bb04ad260c 100644
--- a/examples/notebook/examples/bus_driver_scheduling_sat.ipynb
+++ b/examples/notebook/examples/bus_driver_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/chemical_balance_lp.ipynb b/examples/notebook/examples/chemical_balance_lp.ipynb
index 61cf55e97d..2e0538ecbe 100644
--- a/examples/notebook/examples/chemical_balance_lp.ipynb
+++ b/examples/notebook/examples/chemical_balance_lp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/chemical_balance_sat.ipynb b/examples/notebook/examples/chemical_balance_sat.ipynb
index f456b3b679..4cc19e2a37 100644
--- a/examples/notebook/examples/chemical_balance_sat.ipynb
+++ b/examples/notebook/examples/chemical_balance_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -157,24 +157,24 @@
" # Creates a solver and solves.\n",
" solver = cp_model.CpSolver()\n",
" status = solver.solve(model)\n",
- " print(f\"Status = {solver.status_name(status)}\")\n",
- " # The objective value of the solution.\n",
- " print(f\"Optimal objective value = {solver.objective_value / 10000.0}\")\n",
+ " if status == cp_model.OPTIMAL:\n",
+ " # The objective value of the solution.\n",
+ " print(f\"Optimal objective value = {solver.objective_value / 10000.0}\")\n",
"\n",
- " for s in all_sets:\n",
- " print(\n",
- " f\" {chemical_set[s][0]} = {solver.value(set_vars[s]) / 1000.0}\",\n",
- " end=\" \",\n",
- " )\n",
- " print()\n",
- " for p in all_products:\n",
- " name = max_quantities[p][0]\n",
- " max_quantity = max_quantities[p][1]\n",
- " quantity = sum(\n",
- " solver.value(set_vars[s]) / 1000.0 * chemical_set[s][p + 1]\n",
- " for s in all_sets\n",
- " )\n",
- " print(f\"{name}: {quantity} out of {max_quantity}\")\n",
+ " for s in all_sets:\n",
+ " print(\n",
+ " f\" {chemical_set[s][0]} = {solver.value(set_vars[s]) / 1000.0}\",\n",
+ " end=\" \",\n",
+ " )\n",
+ " print()\n",
+ " for p in all_products:\n",
+ " name = max_quantities[p][0]\n",
+ " max_quantity = max_quantities[p][1]\n",
+ " quantity = sum(\n",
+ " solver.value(set_vars[s]) / 1000.0 * chemical_set[s][p + 1]\n",
+ " for s in all_sets\n",
+ " )\n",
+ " print(f\"{name}: {quantity:.3f} out of {max_quantity}\")\n",
"\n",
"\n",
"def main(argv: Sequence[str]) -> None:\n",
diff --git a/examples/notebook/examples/clustering_sat.ipynb b/examples/notebook/examples/clustering_sat.ipynb
index d355ed1387..18636b3f4f 100644
--- a/examples/notebook/examples/clustering_sat.ipynb
+++ b/examples/notebook/examples/clustering_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -133,7 +133,7 @@
"]\n",
"\n",
"\n",
- "def clustering_sat():\n",
+ "def clustering_sat() -> None:\n",
" \"\"\"Entry point of the program.\"\"\"\n",
" num_nodes = len(distance_matrix)\n",
" print(\"Num nodes =\", num_nodes)\n",
diff --git a/examples/notebook/examples/cover_rectangle_sat.ipynb b/examples/notebook/examples/cover_rectangle_sat.ipynb
index 2893b2a866..e98d7890b5 100644
--- a/examples/notebook/examples/cover_rectangle_sat.ipynb
+++ b/examples/notebook/examples/cover_rectangle_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/cryptarithm_sat.ipynb b/examples/notebook/examples/cryptarithm_sat.ipynb
index c217a0c410..a448898767 100644
--- a/examples/notebook/examples/cryptarithm_sat.ipynb
+++ b/examples/notebook/examples/cryptarithm_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -87,7 +87,7 @@
"from ortools.sat.python import cp_model\n",
"\n",
"\n",
- "def send_more_money():\n",
+ "def send_more_money() -> None:\n",
" \"\"\"solve the cryptarithmic puzzle SEND+MORE=MONEY.\"\"\"\n",
" model = cp_model.CpModel()\n",
"\n",
@@ -142,7 +142,7 @@
" print(\"y:\", solver.value(y))\n",
"\n",
"\n",
- "def main(_):\n",
+ "def main(_) -> None:\n",
" send_more_money()\n",
"\n",
"\n",
diff --git a/examples/notebook/examples/cvrptw_plot.ipynb b/examples/notebook/examples/cvrptw_plot.ipynb
index 1ef4eec93b..4c4599c99f 100644
--- a/examples/notebook/examples/cvrptw_plot.ipynb
+++ b/examples/notebook/examples/cvrptw_plot.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/flexible_job_shop_sat.ipynb b/examples/notebook/examples/flexible_job_shop_sat.ipynb
index 5388b1facb..d76f41b56e 100644
--- a/examples/notebook/examples/flexible_job_shop_sat.ipynb
+++ b/examples/notebook/examples/flexible_job_shop_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -101,20 +101,20 @@
"class SolutionPrinter(cp_model.CpSolverSolutionCallback):\n",
" \"\"\"Print intermediate solutions.\"\"\"\n",
"\n",
- " def __init__(self):\n",
+ " def __init__(self) -> None:\n",
" cp_model.CpSolverSolutionCallback.__init__(self)\n",
" self.__solution_count = 0\n",
"\n",
- " def on_solution_callback(self):\n",
+ " def on_solution_callback(self) -> None:\n",
" \"\"\"Called at each new solution.\"\"\"\n",
" print(\n",
- " \"Solution %i, time = %f s, objective = %i\"\n",
- " % (self.__solution_count, self.wall_time, self.objective_value)\n",
+ " f\"Solution {self.__solution_count}, time = {self.wall_time} s,\"\n",
+ " f\" objective = {self.objective_value}\"\n",
" )\n",
" self.__solution_count += 1\n",
"\n",
"\n",
- "def flexible_jobshop():\n",
+ "def flexible_jobshop() -> None:\n",
" \"\"\"solve a small flexible jobshop problem.\"\"\"\n",
" # Data part.\n",
" jobs = [ # task = (processing_time, machine_id)\n",
@@ -152,13 +152,13 @@
" max_task_duration = max(max_task_duration, alternative[0])\n",
" horizon += max_task_duration\n",
"\n",
- " print(\"Horizon = %i\" % horizon)\n",
+ " print(f\"Horizon = {horizon}\")\n",
"\n",
" # Global storage of variables.\n",
" intervals_per_resources = collections.defaultdict(list)\n",
" starts = {} # indexed by (job_id, task_id).\n",
" presences = {} # indexed by (job_id, task_id, alt_id).\n",
- " job_ends = []\n",
+ " job_ends: list[cp_model.IntVar] = []\n",
"\n",
" # Scan the jobs and create the relevant variables and intervals.\n",
" for job_id in all_jobs:\n",
@@ -180,7 +180,7 @@
" max_duration = max(max_duration, alt_duration)\n",
"\n",
" # Create main interval for the task.\n",
- " suffix_name = \"_j%i_t%i\" % (job_id, task_id)\n",
+ " suffix_name = f\"_j{job_id}_t{task_id}\"\n",
" start = model.new_int_var(0, horizon, \"start\" + suffix_name)\n",
" duration = model.new_int_var(\n",
" min_duration, max_duration, \"duration\" + suffix_name\n",
@@ -202,7 +202,7 @@
" if num_alternatives > 1:\n",
" l_presences = []\n",
" for alt_id in all_alternatives:\n",
- " alt_suffix = \"_j%i_t%i_a%i\" % (job_id, task_id, alt_id)\n",
+ " alt_suffix = f\"_j{job_id}_t{task_id}_a{alt_id}\"\n",
" l_presence = model.new_bool_var(\"presence\" + alt_suffix)\n",
" l_start = model.new_int_var(0, horizon, \"start\" + alt_suffix)\n",
" l_duration = task[alt_id][0]\n",
@@ -229,7 +229,8 @@
" intervals_per_resources[task[0][1]].append(interval)\n",
" presences[(job_id, task_id, 0)] = model.new_constant(1)\n",
"\n",
- " job_ends.append(previous_end)\n",
+ " if previous_end is not None:\n",
+ " job_ends.append(previous_end)\n",
"\n",
" # Create machines constraints.\n",
" for machine_id in all_machines:\n",
@@ -248,29 +249,25 @@
" status = solver.solve(model, solution_printer)\n",
"\n",
" # Print final solution.\n",
- " for job_id in all_jobs:\n",
- " print(\"Job %i:\" % job_id)\n",
- " for task_id in range(len(jobs[job_id])):\n",
- " start_value = solver.value(starts[(job_id, task_id)])\n",
- " machine = -1\n",
- " duration = -1\n",
- " selected = -1\n",
- " for alt_id in range(len(jobs[job_id][task_id])):\n",
- " if solver.value(presences[(job_id, task_id, alt_id)]):\n",
- " duration = jobs[job_id][task_id][alt_id][0]\n",
- " machine = jobs[job_id][task_id][alt_id][1]\n",
- " selected = alt_id\n",
- " print(\n",
- " \" task_%i_%i starts at %i (alt %i, machine %i, duration %i)\"\n",
- " % (job_id, task_id, start_value, selected, machine, duration)\n",
- " )\n",
+ " if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
+ " print(f\"Optimal objective value: {solver.objective_value}\")\n",
+ " for job_id in all_jobs:\n",
+ " print(f\"Job {job_id}\")\n",
+ " for task_id, task in enumerate(jobs[job_id]):\n",
+ " start_value = solver.value(starts[(job_id, task_id)])\n",
+ " machine: int = -1\n",
+ " task_duration: int = -1\n",
+ " selected: int = -1\n",
+ " for alt_id, alt in enumerate(task):\n",
+ " if solver.boolean_value(presences[(job_id, task_id, alt_id)]):\n",
+ " task_duration, machine = alt\n",
+ " selected = alt_id\n",
+ " print(\n",
+ " f\" task_{job_id}_{task_id} starts at {start_value} (alt\"\n",
+ " f\" {selected}, machine {machine}, duration {task_duration})\"\n",
+ " )\n",
"\n",
- " print(\"solve status: %s\" % solver.status_name(status))\n",
- " print(\"Optimal objective value: %i\" % solver.objective_value)\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"flexible_jobshop()\n",
diff --git a/examples/notebook/examples/gate_scheduling_sat.ipynb b/examples/notebook/examples/gate_scheduling_sat.ipynb
index 44792eab75..985b8f9c6b 100644
--- a/examples/notebook/examples/gate_scheduling_sat.ipynb
+++ b/examples/notebook/examples/gate_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -96,7 +96,7 @@
"from ortools.sat.python import cp_model\n",
"\n",
"\n",
- "def main(_):\n",
+ "def main(_) -> None:\n",
" \"\"\"Solves the gate scheduling problem.\"\"\"\n",
" model = cp_model.CpModel()\n",
"\n",
@@ -134,34 +134,34 @@
"\n",
" for i in all_jobs:\n",
" # Create main interval.\n",
- " start = model.new_int_var(0, horizon, \"start_%i\" % i)\n",
+ " start = model.new_int_var(0, horizon, f\"start_{i}\")\n",
" duration = jobs[i][0]\n",
- " end = model.new_int_var(0, horizon, \"end_%i\" % i)\n",
- " interval = model.new_interval_var(start, duration, end, \"interval_%i\" % i)\n",
+ " end = model.new_int_var(0, horizon, f\"end_{i}\")\n",
+ " interval = model.new_interval_var(start, duration, end, f\"interval_{i}\")\n",
" starts.append(start)\n",
" intervals.append(interval)\n",
" ends.append(end)\n",
" demands.append(jobs[i][1])\n",
"\n",
" # Create an optional copy of interval to be executed on machine 0.\n",
- " performed_on_m0 = model.new_bool_var(\"perform_%i_on_m0\" % i)\n",
+ " performed_on_m0 = model.new_bool_var(f\"perform_{i}_on_m0\")\n",
" performed.append(performed_on_m0)\n",
- " start0 = model.new_int_var(0, horizon, \"start_%i_on_m0\" % i)\n",
- " end0 = model.new_int_var(0, horizon, \"end_%i_on_m0\" % i)\n",
+ " start0 = model.new_int_var(0, horizon, f\"start_{i}_on_m0\")\n",
+ " end0 = model.new_int_var(0, horizon, f\"end_{i}_on_m0\")\n",
" interval0 = model.new_optional_interval_var(\n",
- " start0, duration, end0, performed_on_m0, \"interval_%i_on_m0\" % i\n",
+ " start0, duration, end0, performed_on_m0, f\"interval_{i}_on_m0\"\n",
" )\n",
" intervals0.append(interval0)\n",
"\n",
" # Create an optional copy of interval to be executed on machine 1.\n",
- " start1 = model.new_int_var(0, horizon, \"start_%i_on_m1\" % i)\n",
- " end1 = model.new_int_var(0, horizon, \"end_%i_on_m1\" % i)\n",
+ " start1 = model.new_int_var(0, horizon, f\"start_{i}_on_m1\")\n",
+ " end1 = model.new_int_var(0, horizon, f\"end_{i}_on_m1\")\n",
" interval1 = model.new_optional_interval_var(\n",
" start1,\n",
" duration,\n",
" end1,\n",
" ~performed_on_m0,\n",
- " \"interval_%i_on_m1\" % i,\n",
+ " f\"interval_{i}_on_m1\",\n",
" )\n",
" intervals1.append(interval1)\n",
"\n",
@@ -191,18 +191,24 @@
" # Output solution.\n",
" if visualization.RunFromIPython():\n",
" output = visualization.SvgWrapper(solver.objective_value, max_width, 40.0)\n",
- " output.AddTitle(\"Makespan = %i\" % solver.objective_value)\n",
+ " output.AddTitle(f\"Makespan = {solver.objective_value}\")\n",
" color_manager = visualization.ColorManager()\n",
" color_manager.SeedRandomColor(0)\n",
"\n",
" for i in all_jobs:\n",
" performed_machine = 1 - solver.value(performed[i])\n",
- " start = solver.value(starts[i])\n",
+ " start_of_task = solver.value(starts[i])\n",
" d_x = jobs[i][0]\n",
" d_y = jobs[i][1]\n",
" s_y = performed_machine * (max_width - d_y)\n",
" output.AddRectangle(\n",
- " start, s_y, d_x, d_y, color_manager.RandomColor(), \"black\", \"j%i\" % i\n",
+ " start_of_task,\n",
+ " s_y,\n",
+ " d_x,\n",
+ " d_y,\n",
+ " color_manager.RandomColor(),\n",
+ " \"black\",\n",
+ " f\"j{i}\",\n",
" )\n",
"\n",
" output.AddXScale()\n",
@@ -210,17 +216,15 @@
" output.Display()\n",
" else:\n",
" print(\"Solution\")\n",
- " print(\" - makespan = %i\" % solver.objective_value)\n",
+ " print(f\" - makespan = {solver.objective_value}\")\n",
" for i in all_jobs:\n",
" performed_machine = 1 - solver.value(performed[i])\n",
- " start = solver.value(starts[i])\n",
+ " start_of_task = solver.value(starts[i])\n",
" print(\n",
- " \" - Job %i starts at %i on machine %i\" % (i, start, performed_machine)\n",
+ " f\" - Job {i} starts at {start_of_task} on machine\"\n",
+ " f\" {performed_machine}\"\n",
" )\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"main()\n",
diff --git a/examples/notebook/examples/golomb8.ipynb b/examples/notebook/examples/golomb8.ipynb
index 6d05000633..0414ee36c5 100644
--- a/examples/notebook/examples/golomb8.ipynb
+++ b/examples/notebook/examples/golomb8.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -91,17 +91,14 @@
"metadata": {},
"outputs": [],
"source": [
- "from ortools.sat.colab import flags\n",
"from ortools.constraint_solver import pywrapcp\n",
"\n",
- "FLAGS = flags.FLAGS\n",
- "\n",
"# We disable the following warning because it is a false positive on constraints\n",
"# like: solver.Add(x == 0)\n",
"# pylint: disable=g-explicit-bool-comparison\n",
"\n",
"\n",
- "def main(_):\n",
+ "def main(_) -> None:\n",
" # Create the solver.\n",
" solver = pywrapcp.Solver(\"golomb ruler\")\n",
"\n",
diff --git a/examples/notebook/examples/golomb_sat.ipynb b/examples/notebook/examples/golomb_sat.ipynb
index d9d6c36f6c..cdd120961f 100644
--- a/examples/notebook/examples/golomb_sat.ipynb
+++ b/examples/notebook/examples/golomb_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -105,7 +105,7 @@
")\n",
"\n",
"\n",
- "def solve_golomb_ruler(order: int, params: str):\n",
+ "def solve_golomb_ruler(order: int, params: str) -> None:\n",
" \"\"\"Solve the Golomb ruler problem.\"\"\"\n",
" # Create the model.\n",
" model = cp_model.CpModel()\n",
@@ -143,18 +143,13 @@
" status = solver.solve(model, solution_printer)\n",
"\n",
" # Print solution.\n",
- " print(f\"status: {solver.status_name(status)}\")\n",
" if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" for idx, var in enumerate(marks):\n",
" print(f\"mark[{idx}]: {solver.value(var)}\")\n",
" intervals = [solver.value(diff) for diff in diffs]\n",
" intervals.sort()\n",
" print(f\"intervals: {intervals}\")\n",
- "\n",
- " print(\"Statistics:\")\n",
- " print(f\"- conflicts: {solver.num_conflicts}\")\n",
- " print(f\"- branches : {solver.num_branches}\")\n",
- " print(f\"- wall time: {solver.wall_time}s\\n\")\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"def main(argv: Sequence[str]) -> None:\n",
diff --git a/examples/notebook/examples/hidato_sat.ipynb b/examples/notebook/examples/hidato_sat.ipynb
index 70434bacb5..49640e66c3 100644
--- a/examples/notebook/examples/hidato_sat.ipynb
+++ b/examples/notebook/examples/hidato_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -142,7 +142,7 @@
" if game[i][j] == 0:\n",
" line += \" .\"\n",
" else:\n",
- " line += \"% 3s\" % game[i][j]\n",
+ " line += f\"{game[i][j]:3}\"\n",
" print(line)\n",
"\n",
"\n",
@@ -170,7 +170,7 @@
"\n",
" elif problem == 3:\n",
" # Problems from the book:\n",
- " # Gyora Bededek: \"Hidato: 2000 Pure Logic Puzzles\"\n",
+ " # Gyora Bededek: 'Hidato: 2000 Pure Logic Puzzles'\n",
" # Problem 1 (Practice)\n",
" puzzle = [\n",
" [0, 0, 20, 0, 0],\n",
@@ -215,7 +215,7 @@
" return puzzle\n",
"\n",
"\n",
- "def solve_hidato(puzzle: list[list[int]], index: int):\n",
+ "def solve_hidato(puzzle: list[list[int]], index: int) -> None:\n",
" \"\"\"solve the given hidato table.\"\"\"\n",
" # Create the model.\n",
" model = cp_model.CpModel()\n",
@@ -224,15 +224,15 @@
" c = len(puzzle[0])\n",
" if not visualization.RunFromIPython():\n",
" print(\"\")\n",
- " print(\"----- Solving problem %i -----\" % index)\n",
+ " print(f\"----- Solving problem {index} -----\")\n",
" print(\"\")\n",
- " print((\"Initial game (%i x %i)\" % (r, c)))\n",
+ " print(f\"Initial game ({r} x {c})\")\n",
" print_matrix(puzzle)\n",
"\n",
" #\n",
" # Declare variables.\n",
" #\n",
- " positions = [model.new_int_var(0, r * c - 1, \"p[%i]\" % i) for i in range(r * c)]\n",
+ " positions = [model.new_int_var(0, r * c - 1, f\"p[{i}]\") for i in range(r * c)]\n",
"\n",
" #\n",
" # Constraints.\n",
@@ -270,7 +270,7 @@
" color = \"white\" if puzzle[y][x] == 0 else \"lightgreen\"\n",
" output.AddRectangle(x, r - y - 1, 1, 1, color, \"black\", str(i + 1))\n",
"\n",
- " output.AddTitle(\"Puzzle %i solved in %f s\" % (index, solver.wall_time))\n",
+ " output.AddTitle(f\"Puzzle {index} solved in {solver.wall_time:.2f} s\")\n",
" output.Display()\n",
" else:\n",
" print_solution(\n",
@@ -278,10 +278,7 @@
" r,\n",
" c,\n",
" )\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"def main(_):\n",
diff --git a/examples/notebook/examples/integer_programming.ipynb b/examples/notebook/examples/integer_programming.ipynb
index c8519d2a82..3dd97a4aae 100644
--- a/examples/notebook/examples/integer_programming.ipynb
+++ b/examples/notebook/examples/integer_programming.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/jobshop_ft06_distance_sat.ipynb b/examples/notebook/examples/jobshop_ft06_distance_sat.ipynb
index 277650be7f..dc5ee45b5b 100644
--- a/examples/notebook/examples/jobshop_ft06_distance_sat.ipynb
+++ b/examples/notebook/examples/jobshop_ft06_distance_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -105,7 +105,7 @@
" return abs(x - y)\n",
"\n",
"\n",
- "def jobshop_ft06_distance():\n",
+ "def jobshop_ft06_distance() -> None:\n",
" \"\"\"Solves the ft06 jobshop with distances between tasks.\"\"\"\n",
" # Creates the model.\n",
" model = cp_model.CpModel()\n",
@@ -142,11 +142,11 @@
" all_tasks = {}\n",
" for i in all_jobs:\n",
" for j in all_machines:\n",
- " start_var = model.new_int_var(0, horizon, \"start_%i_%i\" % (i, j))\n",
+ " start_var = model.new_int_var(0, horizon, f\"start_{i}_{j}\")\n",
" duration = durations[i][j]\n",
- " end_var = model.new_int_var(0, horizon, \"end_%i_%i\" % (i, j))\n",
+ " end_var = model.new_int_var(0, horizon, f\"end_{i}_{j}\")\n",
" interval_var = model.new_interval_var(\n",
- " start_var, duration, end_var, \"interval_%i_%i\" % (i, j)\n",
+ " start_var, duration, end_var, f\"interval_{i}_{j}\"\n",
" )\n",
" all_tasks[(i, j)] = task_type(\n",
" start=start_var, end=end_var, interval=interval_var\n",
@@ -170,16 +170,16 @@
" arcs = []\n",
" for j1 in range(len(job_intervals)):\n",
" # Initial arc from the dummy node (0) to a task.\n",
- " start_lit = model.new_bool_var(\"%i is first job\" % j1)\n",
+ " start_lit = model.new_bool_var(f\"{j1} is first job\")\n",
" arcs.append((0, j1 + 1, start_lit))\n",
" # Final arc from an arc to the dummy node.\n",
- " arcs.append((j1 + 1, 0, model.new_bool_var(\"%i is last job\" % j1)))\n",
+ " arcs.append((j1 + 1, 0, model.new_bool_var(f\"{j1} is last job\")))\n",
"\n",
" for j2 in range(len(job_intervals)):\n",
" if j1 == j2:\n",
" continue\n",
"\n",
- " lit = model.new_bool_var(\"%i follows %i\" % (j2, j1))\n",
+ " lit = model.new_bool_var(f\"{j2} follows {j1}\")\n",
" arcs.append((j1 + 1, j2 + 1, lit))\n",
"\n",
" # We add the reified precedence to link the literal with the\n",
@@ -209,7 +209,8 @@
"\n",
" # Output solution.\n",
" if status == cp_model.OPTIMAL:\n",
- " print(\"Optimal makespan: %i\" % solver.objective_value)\n",
+ " print(f\"Optimal makespan: {solver.objective_value}\")\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"jobshop_ft06_distance()\n",
diff --git a/examples/notebook/examples/jobshop_ft06_sat.ipynb b/examples/notebook/examples/jobshop_ft06_sat.ipynb
index ae6fc8fa35..792fd66ff5 100644
--- a/examples/notebook/examples/jobshop_ft06_sat.ipynb
+++ b/examples/notebook/examples/jobshop_ft06_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -135,11 +135,11 @@
" all_tasks = {}\n",
" for i in all_jobs:\n",
" for j in all_machines:\n",
- " start_var = model.new_int_var(0, horizon, \"start_%i_%i\" % (i, j))\n",
+ " start_var = model.new_int_var(0, horizon, f\"start_{i}_{j}\")\n",
" duration = durations[i][j]\n",
- " end_var = model.new_int_var(0, horizon, \"end_%i_%i\" % (i, j))\n",
+ " end_var = model.new_int_var(0, horizon, f\"end_{i}_{j}\")\n",
" interval_var = model.new_interval_var(\n",
- " start_var, duration, end_var, \"interval_%i_%i\" % (i, j)\n",
+ " start_var, duration, end_var, f\"interval_{i}_{j}\"\n",
" )\n",
" all_tasks[(i, j)] = task_type(\n",
" start=start_var, end=end_var, interval=interval_var\n",
@@ -182,7 +182,7 @@
" ]\n",
" visualization.DisplayJobshop(starts, durations, machines, \"FT06\")\n",
" else:\n",
- " print(\"Optimal makespan: %i\" % solver.objective_value)\n",
+ " print(f\"Optimal makespan: {solver.objective_value}\")\n",
"\n",
"\n",
"jobshop_ft06()\n",
diff --git a/examples/notebook/examples/jobshop_with_maintenance_sat.ipynb b/examples/notebook/examples/jobshop_with_maintenance_sat.ipynb
index 7410dc9bbf..a40167ca52 100644
--- a/examples/notebook/examples/jobshop_with_maintenance_sat.ipynb
+++ b/examples/notebook/examples/jobshop_with_maintenance_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -91,20 +91,20 @@
"class SolutionPrinter(cp_model.CpSolverSolutionCallback):\n",
" \"\"\"Print intermediate solutions.\"\"\"\n",
"\n",
- " def __init__(self):\n",
+ " def __init__(self) -> None:\n",
" cp_model.CpSolverSolutionCallback.__init__(self)\n",
" self.__solution_count = 0\n",
"\n",
- " def on_solution_callback(self):\n",
+ " def on_solution_callback(self) -> None:\n",
" \"\"\"Called at each new solution.\"\"\"\n",
" print(\n",
- " \"Solution %i, time = %f s, objective = %i\"\n",
- " % (self.__solution_count, self.wall_time, self.objective_value)\n",
+ " f\"Solution {self.__solution_count}, time = {self.wall_time} s,\"\n",
+ " f\" objective = {self.objective_value}\"\n",
" )\n",
" self.__solution_count += 1\n",
"\n",
"\n",
- "def jobshop_with_maintenance():\n",
+ "def jobshop_with_maintenance() -> None:\n",
" \"\"\"Solves a jobshop with maintenance on one machine.\"\"\"\n",
" # Create the model.\n",
" model = cp_model.CpModel()\n",
@@ -122,7 +122,7 @@
" horizon = sum(task[1] for job in jobs_data for task in job)\n",
"\n",
" # Named tuple to store information about created variables.\n",
- " task_type = collections.namedtuple(\"Task\", \"start end interval\")\n",
+ " task_type = collections.namedtuple(\"task_type\", \"start end interval\")\n",
" # Named tuple to manipulate solution information.\n",
" assigned_task_type = collections.namedtuple(\n",
" \"assigned_task_type\", \"start job index duration\"\n",
@@ -135,9 +135,8 @@
" for job_id, job in enumerate(jobs_data):\n",
" for entry in enumerate(job):\n",
" task_id, task = entry\n",
- " machine = task[0]\n",
- " duration = task[1]\n",
- " suffix = \"_%i_%i\" % (job_id, task_id)\n",
+ " machine, duration = task\n",
+ " suffix = f\"_{job_id}_{task_id}\"\n",
" start_var = model.new_int_var(0, horizon, \"start\" + suffix)\n",
" end_var = model.new_int_var(0, horizon, \"end\" + suffix)\n",
" interval_var = model.new_interval_var(\n",
@@ -200,15 +199,15 @@
" sol_line = \" \"\n",
"\n",
" for assigned_task in assigned_jobs[machine]:\n",
- " name = \"job_%i_%i\" % (assigned_task.job, assigned_task.index)\n",
+ " name = f\"job_{assigned_task.job}_{assigned_task.index}\"\n",
" # add spaces to output to align columns.\n",
- " sol_line_tasks += \"%-10s\" % name\n",
+ " sol_line_tasks += f\"{name:>10}\"\n",
" start = assigned_task.start\n",
" duration = assigned_task.duration\n",
"\n",
- " sol_tmp = \"[%i,%i]\" % (start, start + duration)\n",
+ " sol_tmp = f\"[{start}, {start + duration}]\"\n",
" # add spaces to output to align columns.\n",
- " sol_line += \"%-10s\" % sol_tmp\n",
+ " sol_line += f\"{sol_tmp:>10}\"\n",
"\n",
" sol_line += \"\\n\"\n",
" sol_line_tasks += \"\\n\"\n",
@@ -216,12 +215,9 @@
" output += sol_line\n",
"\n",
" # Finally print the solution found.\n",
- " print(\"Optimal Schedule Length: %i\" % solver.objective_value)\n",
+ " print(f\"Optimal Schedule Length: {solver.objective_value}\")\n",
" print(output)\n",
- " print(\"Statistics\")\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"def main(argv: Sequence[str]) -> None:\n",
diff --git a/examples/notebook/examples/knapsack_2d_sat.ipynb b/examples/notebook/examples/knapsack_2d_sat.ipynb
index b05a748ef8..09efe31498 100644
--- a/examples/notebook/examples/knapsack_2d_sat.ipynb
+++ b/examples/notebook/examples/knapsack_2d_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -139,7 +139,9 @@
" return (data, max_height, max_width)\n",
"\n",
"\n",
- "def solve_with_duplicate_items(data: pd.Series, max_height: int, max_width: int):\n",
+ "def solve_with_duplicate_items(\n",
+ " data: pd.Series, max_height: int, max_width: int\n",
+ ") -> None:\n",
" \"\"\"solve the problem by building 2 items (rotated or not) for each item.\"\"\"\n",
" # Derived data (expanded to individual items).\n",
" data_widths = data[\"width\"].to_numpy()\n",
@@ -230,7 +232,7 @@
" status = solver.solve(model)\n",
"\n",
" # Report solution.\n",
- " if status == cp_model.OPTIMAL or status == cp_model.FEASIBLE:\n",
+ " if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" used = {i for i in range(num_items) if solver.boolean_value(is_used[i])}\n",
" data = pd.DataFrame(\n",
" {\n",
@@ -332,7 +334,7 @@
" status = solver.solve(model)\n",
"\n",
" # Report solution.\n",
- " if status == cp_model.OPTIMAL or status == cp_model.FEASIBLE:\n",
+ " if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" used = {i for i in range(num_items) if solver.boolean_value(is_used[i])}\n",
" data = pd.DataFrame(\n",
" {\n",
@@ -453,7 +455,7 @@
" status = solver.solve(model)\n",
"\n",
" # Report solution.\n",
- " if status == cp_model.OPTIMAL or status == cp_model.FEASIBLE:\n",
+ " if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" used = {i for i in range(num_items) if solver.boolean_value(is_used[i])}\n",
" data = pd.DataFrame(\n",
" {\n",
diff --git a/examples/notebook/examples/line_balancing_sat.ipynb b/examples/notebook/examples/line_balancing_sat.ipynb
index 07adcde4c2..07c2c82ab9 100644
--- a/examples/notebook/examples/line_balancing_sat.ipynb
+++ b/examples/notebook/examples/line_balancing_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -98,7 +98,7 @@
"source": [
"import collections\n",
"import re\n",
- "from typing import Sequence\n",
+ "from typing import Dict, Sequence\n",
"\n",
"from ortools.sat.colab import flags\n",
"from google.protobuf import text_format\n",
@@ -115,8 +115,8 @@
")\n",
"\n",
"\n",
- "class SectionInfo(object):\n",
- " \"\"\"Store model information for each section of the input file.\"\"\"\n",
+ "class SectionInfo:\n",
+ " \"\"\"Store problem information for each section of the input file.\"\"\"\n",
"\n",
" def __init__(self):\n",
" self.value = None\n",
@@ -134,44 +134,43 @@
" return \"SectionInfo()\"\n",
"\n",
"\n",
- "def read_model(filename):\n",
- " \"\"\"Reads a .alb file and returns the model.\"\"\"\n",
+ "def read_problem(filename: str) -> Dict[str, SectionInfo]:\n",
+ " \"\"\"Reads a .alb file and returns the problem.\"\"\"\n",
"\n",
" current_info = SectionInfo()\n",
"\n",
- " model = {}\n",
+ " problem: Dict[str, SectionInfo] = {}\n",
" with open(filename, \"r\") as input_file:\n",
- " print(f\"Reading model from '{filename}'\")\n",
- " section_name = \"\"\n",
+ " print(f\"Reading problem from '{filename}'\")\n",
"\n",
" for line in input_file:\n",
" stripped_line = line.strip()\n",
" if not stripped_line:\n",
" continue\n",
"\n",
- " match_section_def = re.match(r\"<([\\w\\s]+)>\", stripped_line)\n",
+ " match_section_def = re.fullmatch(r\"<([\\w\\s]+)>\", stripped_line)\n",
" if match_section_def:\n",
" section_name = match_section_def.group(1)\n",
" if section_name == \"end\":\n",
" continue\n",
"\n",
" current_info = SectionInfo()\n",
- " model[section_name] = current_info\n",
+ " problem[section_name] = current_info\n",
" continue\n",
"\n",
- " match_single_number = re.match(r\"^([0-9]+)$\", stripped_line)\n",
+ " match_single_number = re.fullmatch(r\"^([0-9]+)$\", stripped_line)\n",
" if match_single_number:\n",
" current_info.value = int(match_single_number.group(1))\n",
" continue\n",
"\n",
- " match_key_value = re.match(r\"^([0-9]+)\\s+([0-9]+)$\", stripped_line)\n",
+ " match_key_value = re.fullmatch(r\"^([0-9]+)\\s+([0-9]+)$\", stripped_line)\n",
" if match_key_value:\n",
" key = int(match_key_value.group(1))\n",
" value = int(match_key_value.group(2))\n",
" current_info.index_map[key] = value\n",
" continue\n",
"\n",
- " match_pair = re.match(r\"^([0-9]+),([0-9]+)$\", stripped_line)\n",
+ " match_pair = re.fullmatch(r\"^([0-9]+),([0-9]+)$\", stripped_line)\n",
" if match_pair:\n",
" left = int(match_pair.group(1))\n",
" right = int(match_pair.group(2))\n",
@@ -180,24 +179,26 @@
"\n",
" print(f\"Unrecognized line '{stripped_line}'\")\n",
"\n",
- " return model\n",
+ " return problem\n",
"\n",
"\n",
- "def print_stats(model):\n",
- " print(\"Model Statistics\")\n",
- " for key, value in model.items():\n",
+ "def print_stats(problem: Dict[str, SectionInfo]) -> None:\n",
+ " print(\"Problem Statistics\")\n",
+ " for key, value in problem.items():\n",
" print(f\" - {key}: {value}\")\n",
"\n",
"\n",
- "def solve_model_greedily(model):\n",
+ "def solve_problem_greedily(problem: Dict[str, SectionInfo]) -> Dict[int, int]:\n",
" \"\"\"Compute a greedy solution.\"\"\"\n",
" print(\"Solving using a Greedy heuristics\")\n",
"\n",
- " num_tasks = model[\"number of tasks\"].value\n",
+ " num_tasks = problem[\"number of tasks\"].value\n",
+ " if num_tasks is None:\n",
+ " return {}\n",
" all_tasks = range(1, num_tasks + 1) # Tasks are 1 based in the data.\n",
- " precedences = model[\"precedence relations\"].set_of_pairs\n",
- " durations = model[\"task times\"].index_map\n",
- " cycle_time = model[\"cycle time\"].value\n",
+ " precedences = problem[\"precedence relations\"].set_of_pairs\n",
+ " durations = problem[\"task times\"].index_map\n",
+ " cycle_time = problem[\"cycle time\"].value\n",
"\n",
" weights = collections.defaultdict(int)\n",
" successors = collections.defaultdict(list)\n",
@@ -210,7 +211,7 @@
" if after in candidates:\n",
" candidates.remove(after)\n",
"\n",
- " assignment = {}\n",
+ " assignment: Dict[int, int] = {}\n",
" current_pod = 0\n",
" residual_capacity = cycle_time\n",
"\n",
@@ -251,16 +252,20 @@
" return assignment\n",
"\n",
"\n",
- "def solve_boolean_model(model, hint):\n",
- " \"\"\"solve the given model.\"\"\"\n",
+ "def solve_problem_with_boolean_model(\n",
+ " problem: Dict[str, SectionInfo], hint: Dict[int, int]\n",
+ ") -> None:\n",
+ " \"\"\"solve the given problem.\"\"\"\n",
"\n",
" print(\"Solving using the Boolean model\")\n",
- " # Model data\n",
- " num_tasks = model[\"number of tasks\"].value\n",
- " all_tasks = range(1, num_tasks + 1) # Tasks are 1 based in the model.\n",
- " durations = model[\"task times\"].index_map\n",
- " precedences = model[\"precedence relations\"].set_of_pairs\n",
- " cycle_time = model[\"cycle time\"].value\n",
+ " # problem data\n",
+ " num_tasks = problem[\"number of tasks\"].value\n",
+ " if num_tasks is None:\n",
+ " return\n",
+ " all_tasks = range(1, num_tasks + 1) # Tasks are 1 based in the problem.\n",
+ " durations = problem[\"task times\"].index_map\n",
+ " precedences = problem[\"precedence relations\"].set_of_pairs\n",
+ " cycle_time = problem[\"cycle time\"].value\n",
"\n",
" num_pods = max(p for _, p in hint.items()) + 1 if hint else num_tasks - 1\n",
" all_pods = range(num_pods)\n",
@@ -340,16 +345,20 @@
" solver.solve(model)\n",
"\n",
"\n",
- "def solve_scheduling_model(model, hint):\n",
- " \"\"\"solve the given model using a cumutive model.\"\"\"\n",
+ "def solve_problem_with_scheduling_model(\n",
+ " problem: Dict[str, SectionInfo], hint: Dict[int, int]\n",
+ ") -> None:\n",
+ " \"\"\"solve the given problem using a cumulative model.\"\"\"\n",
"\n",
" print(\"Solving using the scheduling model\")\n",
- " # Model data\n",
- " num_tasks = model[\"number of tasks\"].value\n",
+ " # Problem data\n",
+ " num_tasks = problem[\"number of tasks\"].value\n",
+ " if num_tasks is None:\n",
+ " return\n",
" all_tasks = range(1, num_tasks + 1) # Tasks are 1 based in the data.\n",
- " durations = model[\"task times\"].index_map\n",
- " precedences = model[\"precedence relations\"].set_of_pairs\n",
- " cycle_time = model[\"cycle time\"].value\n",
+ " durations = problem[\"task times\"].index_map\n",
+ " precedences = problem[\"precedence relations\"].set_of_pairs\n",
+ " cycle_time = problem[\"cycle time\"].value\n",
"\n",
" num_pods = max(p for _, p in hint.items()) + 1 if hint else num_tasks\n",
"\n",
@@ -407,14 +416,14 @@
" if len(argv) > 1:\n",
" raise app.UsageError(\"Too many command-line arguments.\")\n",
"\n",
- " model = read_model(_INPUT.value)\n",
- " print_stats(model)\n",
- " greedy_solution = solve_model_greedily(model)\n",
+ " problem = read_problem(_INPUT.value)\n",
+ " print_stats(problem)\n",
+ " greedy_solution = solve_problem_greedily(problem)\n",
"\n",
" if _MODEL.value == \"boolean\":\n",
- " solve_boolean_model(model, greedy_solution)\n",
+ " solve_problem_with_boolean_model(problem, greedy_solution)\n",
" elif _MODEL.value == \"scheduling\":\n",
- " solve_scheduling_model(model, greedy_solution)\n",
+ " solve_problem_with_scheduling_model(problem, greedy_solution)\n",
"\n",
"\n",
"main()\n",
diff --git a/examples/notebook/examples/linear_assignment_api.ipynb b/examples/notebook/examples/linear_assignment_api.ipynb
index 55c1d39baa..093c87cf6f 100644
--- a/examples/notebook/examples/linear_assignment_api.ipynb
+++ b/examples/notebook/examples/linear_assignment_api.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/linear_programming.ipynb b/examples/notebook/examples/linear_programming.ipynb
index 553507ec07..ea83ff3c89 100644
--- a/examples/notebook/examples/linear_programming.ipynb
+++ b/examples/notebook/examples/linear_programming.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/magic_sequence_distribute.ipynb b/examples/notebook/examples/magic_sequence_distribute.ipynb
index ed8cd1d909..d3ec65460f 100644
--- a/examples/notebook/examples/magic_sequence_distribute.ipynb
+++ b/examples/notebook/examples/magic_sequence_distribute.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/maximize_combinations_sat.ipynb b/examples/notebook/examples/maximize_combinations_sat.ipynb
new file mode 100644
index 0000000000..a30e3d7166
--- /dev/null
+++ b/examples/notebook/examples/maximize_combinations_sat.ipynb
@@ -0,0 +1,149 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "google",
+ "metadata": {},
+ "source": [
+ "##### Copyright 2024 Google LLC."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "apache",
+ "metadata": {},
+ "source": [
+ "Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ "you may not use this file except in compliance with the License.\n",
+ "You may obtain a copy of the License at\n",
+ "\n",
+ " http://www.apache.org/licenses/LICENSE-2.0\n",
+ "\n",
+ "Unless required by applicable law or agreed to in writing, software\n",
+ "distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ "See the License for the specific language governing permissions and\n",
+ "limitations under the License.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "basename",
+ "metadata": {},
+ "source": [
+ "# maximize_combinations_sat"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "link",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "doc",
+ "metadata": {},
+ "source": [
+ "First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "install",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%pip install ortools"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "description",
+ "metadata": {},
+ "source": [
+ "\n",
+ "Maximize the number of valid combinations of Boolean variables.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "code",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from typing import Sequence\n",
+ "from ortools.sat.python import cp_model\n",
+ "\n",
+ "\n",
+ "def maximize_combinations_sat() -> None:\n",
+ " \"\"\"Maximize the number of valid combinations of Boolean variables.\"\"\"\n",
+ " model = cp_model.CpModel()\n",
+ " cards: list[cp_model.IntVar] = [\n",
+ " model.new_bool_var(\"card1\"),\n",
+ " model.new_bool_var(\"card2\"),\n",
+ " model.new_bool_var(\"card3\"),\n",
+ " model.new_bool_var(\"card4\"),\n",
+ " ]\n",
+ "\n",
+ " combos: list[list[cp_model.IntVar]] = [\n",
+ " [cards[0], cards[1]],\n",
+ " [cards[0], cards[2]],\n",
+ " [cards[1], cards[3]],\n",
+ " [cards[0], cards[2], cards[3]],\n",
+ " ]\n",
+ "\n",
+ " deck_size: int = 3\n",
+ " model.add(sum(cards) == deck_size)\n",
+ "\n",
+ " valid_combos: list[cp_model.IntVar] = []\n",
+ " for combination in combos:\n",
+ " is_valid = model.new_bool_var(\"\")\n",
+ "\n",
+ " # All true implies is_valid.\n",
+ " model.add_bool_and(is_valid).only_enforce_if(combination)\n",
+ "\n",
+ " # is_valid implies all true.\n",
+ " for literal in combination:\n",
+ " model.add_implication(is_valid, literal)\n",
+ " valid_combos.append(is_valid)\n",
+ "\n",
+ " model.maximize(sum(valid_combos))\n",
+ "\n",
+ " solver = cp_model.CpSolver()\n",
+ " solver.parameters.log_search_progress = True\n",
+ " status = solver.solve(model)\n",
+ "\n",
+ " if status == cp_model.OPTIMAL:\n",
+ " print(\n",
+ " \"chosen cards:\",\n",
+ " [card.name for card in cards if solver.boolean_value(card)],\n",
+ " )\n",
+ "\n",
+ "\n",
+ "def main(argv: Sequence[str]) -> None:\n",
+ " if len(argv) > 1:\n",
+ " raise app.UsageError(\"Too many command-line arguments.\")\n",
+ " maximize_combinations_sat()\n",
+ "\n",
+ "\n",
+ "main()\n",
+ "\n"
+ ]
+ }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/notebook/examples/maze_escape_sat.ipynb b/examples/notebook/examples/maze_escape_sat.ipynb
index cebacf631b..2ff03b9f05 100644
--- a/examples/notebook/examples/maze_escape_sat.ipynb
+++ b/examples/notebook/examples/maze_escape_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -89,7 +89,7 @@
"metadata": {},
"outputs": [],
"source": [
- "from typing import Sequence\n",
+ "from typing import Dict, Sequence, Tuple\n",
"\n",
"from ortools.sat.colab import flags\n",
"from google.protobuf import text_format\n",
@@ -99,11 +99,25 @@
" \"output_proto\", \"\", \"Output file to write the cp_model proto to.\"\n",
")\n",
"_PARAMS = flags.define_string(\n",
- " \"params\", \"num_search_workers:8,log_search_progress:true\", \"Sat solver parameters.\"\n",
+ " \"params\",\n",
+ " \"num_search_workers:8,log_search_progress:true\",\n",
+ " \"Sat solver parameters.\",\n",
")\n",
"\n",
"\n",
- "def add_neighbor(size, x, y, z, dx, dy, dz, model, index_map, position_to_rank, arcs):\n",
+ "def add_neighbor(\n",
+ " size: int,\n",
+ " x: int,\n",
+ " y: int,\n",
+ " z: int,\n",
+ " dx: int,\n",
+ " dy: int,\n",
+ " dz: int,\n",
+ " model: cp_model.CpModel,\n",
+ " index_map: Dict[Tuple[int, int, int], int],\n",
+ " position_to_rank: Dict[Tuple[int, int, int], cp_model.IntVar],\n",
+ " arcs: list[Tuple[int, int, cp_model.LiteralT]],\n",
+ ") -> None:\n",
" \"\"\"Checks if the neighbor is valid, and adds it to the model.\"\"\"\n",
" if (\n",
" x + dx < 0\n",
@@ -123,7 +137,7 @@
" arcs.append((before_index, after_index, move_literal))\n",
"\n",
"\n",
- "def escape_the_maze(params, output_proto):\n",
+ "def escape_the_maze(params: str, output_proto: str) -> None:\n",
" \"\"\"Escapes the maze.\"\"\"\n",
" size = 4\n",
" boxes = [(0, 1, 0), (2, 0, 1), (1, 3, 1), (3, 1, 3)]\n",
@@ -157,7 +171,7 @@
"\n",
" # Circuit constraint: visit all blocks exactly once, and maintains the rank\n",
" # of each block.\n",
- " arcs = []\n",
+ " arcs: list[Tuple[int, int, cp_model.LiteralT]] = []\n",
" for x in range(size):\n",
" for y in range(size):\n",
" for z in range(size):\n",
@@ -211,8 +225,8 @@
" elif position == end:\n",
" msg += \" [end]\"\n",
" else:\n",
- " for b in range(len(boxes)):\n",
- " if position == boxes[b]:\n",
+ " for b, box in enumerate(boxes):\n",
+ " if position == box:\n",
" msg += f\" [boxes {b}]\"\n",
" path[rank] = msg\n",
" print(path)\n",
diff --git a/examples/notebook/examples/memory_layout_and_infeasibility_sat.ipynb b/examples/notebook/examples/memory_layout_and_infeasibility_sat.ipynb
index 8819fc4290..5512d91f34 100644
--- a/examples/notebook/examples/memory_layout_and_infeasibility_sat.ipynb
+++ b/examples/notebook/examples/memory_layout_and_infeasibility_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -121,8 +121,10 @@
" y_starts: List[cp_model.IntVar] = []\n",
" y_intervals: List[cp_model.IntervalVar] = []\n",
"\n",
- " for start, end, demand, unused_alignment in DEMANDS:\n",
- " x_interval = model.new_fixed_size_interval_var(start, end - start + 1, \"\")\n",
+ " for start_time, end_time, demand, _ in DEMANDS:\n",
+ " x_interval = model.new_fixed_size_interval_var(\n",
+ " start_time, end_time - start_time + 1, \"\"\n",
+ " )\n",
" y_start = model.new_int_var(0, CAPACITY - demand, \"\")\n",
" y_interval = model.new_fixed_size_interval_var(y_start, demand, \"\")\n",
"\n",
@@ -141,9 +143,9 @@
" status = solver.solve(model)\n",
" print(solver.response_stats())\n",
"\n",
- " if status == cp_model.FEASIBLE or status == cp_model.OPTIMAL:\n",
- " for index, start in enumerate(y_starts):\n",
- " print(f\"task {index} buffer starts at {solver.value(start)}\")\n",
+ " if status in (cp_model.FEASIBLE, cp_model.OPTIMAL):\n",
+ " for index, start_var in enumerate(y_starts):\n",
+ " print(f\"task {index} buffer starts at {solver.value(start_var)}\")\n",
"\n",
" return status != cp_model.INFEASIBLE\n",
"\n",
diff --git a/examples/notebook/examples/no_wait_baking_scheduling_sat.ipynb b/examples/notebook/examples/no_wait_baking_scheduling_sat.ipynb
index 442eb1f8e1..e82657ba4a 100644
--- a/examples/notebook/examples/no_wait_baking_scheduling_sat.ipynb
+++ b/examples/notebook/examples/no_wait_baking_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -90,16 +90,16 @@
"outputs": [],
"source": [
"import collections\n",
- "from typing import Sequence\n",
+ "from typing import List, Sequence, Tuple\n",
+ "\n",
"from ortools.sat.colab import flags\n",
"from google.protobuf import text_format\n",
"from ortools.sat.python import cp_model\n",
"\n",
"_PARAMS = flags.define_string(\n",
- " \"params\", \"num_search_workers:16, max_time_in_seconds:30\", \"Sat solver parameters.\"\n",
- ")\n",
- "_PROTO_FILE = flags.define_string(\n",
- " \"proto_file\", \"\", \"If not empty, output the proto to this file.\"\n",
+ " \"params\",\n",
+ " \"num_search_workers:16, max_time_in_seconds:30\",\n",
+ " \"Sat solver parameters.\",\n",
")\n",
"\n",
"# Recipes\n",
@@ -117,7 +117,7 @@
"DISPLAY = \"display\"\n",
"\n",
"\n",
- "class Task(object):\n",
+ "class Task:\n",
" \"\"\"A unit baking task.\n",
"\n",
" - Simple baking tasks have a fixed duration. They are performed by workers.\n",
@@ -131,7 +131,7 @@
" self.max_duration = max_duration\n",
"\n",
"\n",
- "class Skill(object):\n",
+ "class Skill:\n",
" \"\"\"The skill of a worker or the capability of a machine.\"\"\"\n",
"\n",
" def __init__(self, name, efficiency):\n",
@@ -140,19 +140,21 @@
" self.efficiency = efficiency\n",
"\n",
"\n",
- "class Recipe(object):\n",
+ "class Recipe:\n",
" \"\"\"A recipe is a sequence of cooking tasks.\"\"\"\n",
"\n",
" def __init__(self, name):\n",
" self.name = name\n",
" self.tasks = []\n",
"\n",
- " def add_task(self, resource_name, min_duration, max_duration):\n",
+ " def add_task(\n",
+ " self, resource_name: str, min_duration: int, max_duration: int\n",
+ " ) -> \"Recipe\":\n",
" self.tasks.append(Task(resource_name, min_duration, max_duration))\n",
" return self\n",
"\n",
"\n",
- "class Resource(object):\n",
+ "class Resource:\n",
" \"\"\"A resource is a worker, a machine, or just some space for cakes to rest.\n",
"\n",
" - Workers have a capacity of 1 and can have variable efficiency.\n",
@@ -168,12 +170,12 @@
" self.capacity = capacity\n",
" self.skills = []\n",
"\n",
- " def add_skill(self, skill_name, efficiency):\n",
+ " def add_skill(self, skill_name: str, efficiency: float) -> \"Resource\":\n",
" self.skills.append(Skill(skill_name, efficiency))\n",
" return self\n",
"\n",
"\n",
- "class Order(object):\n",
+ "class Order:\n",
" \"\"\"An order is a recipe that should be delivered at a given due date.\"\"\"\n",
"\n",
" def __init__(self, unique_id, recipe_name, due_date, quantity):\n",
@@ -191,7 +193,7 @@
" self.quantity = quantity\n",
"\n",
"\n",
- "def set_up_data():\n",
+ "def set_up_data() -> Tuple[List[Recipe], List[Resource], List[Order]]:\n",
" \"\"\"Set up the bakery problem data.\"\"\"\n",
"\n",
" # Recipes.\n",
@@ -260,7 +262,9 @@
" return recipes, resources, orders\n",
"\n",
"\n",
- "def solve_with_cp_sat(recipes, resources, orders):\n",
+ "def solve_with_cp_sat(\n",
+ " recipes: List[Recipe], resources: List[Resource], orders: List[Order]\n",
+ ") -> None:\n",
" \"\"\"Build the optimization model, and solve the problem.\"\"\"\n",
"\n",
" model = cp_model.CpModel()\n",
@@ -297,7 +301,6 @@
" skill_name = task.name\n",
" suffix = f\"_{order.unique_id}_batch{batch}_{skill_name}\"\n",
"\n",
- " start = None\n",
" if previous_end is None:\n",
" start = model.new_int_var(start_work, horizon, f\"start{suffix}\")\n",
" orders_sequence_of_events[order_id].append(\n",
@@ -309,7 +312,6 @@
" size = model.new_int_var(\n",
" task.min_duration, task.max_duration, f\"size{suffix}\"\n",
" )\n",
- " end = None\n",
" if task == recipe.tasks[-1]:\n",
" # The order must end after the due_date. Ideally, exactly at the\n",
" # due_date.\n",
diff --git a/examples/notebook/examples/nqueens_sat.ipynb b/examples/notebook/examples/nqueens_sat.ipynb
index c235565da3..391be2abc6 100644
--- a/examples/notebook/examples/nqueens_sat.ipynb
+++ b/examples/notebook/examples/nqueens_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -96,26 +96,26 @@
"\n",
" def __init__(self, queens: list[cp_model.IntVar]):\n",
" cp_model.CpSolverSolutionCallback.__init__(self)\n",
- " self.__queens = queens\n",
- " self.__solution_count = 0\n",
- " self.__start_time = time.time()\n",
+ " self._queens = queens\n",
+ " self._solution_count = 0\n",
+ " self._start_time = time.time()\n",
"\n",
" @property\n",
" def solution_count(self) -> int:\n",
- " return self.__solution_count\n",
+ " return self._solution_count\n",
"\n",
" def on_solution_callback(self) -> None:\n",
" current_time = time.time()\n",
" print(\n",
- " \"Solution %i, time = %f s\"\n",
- " % (self.__solution_count, current_time - self.__start_time)\n",
+ " f\"Solution{self._solution_count}, time =\"\n",
+ " f\" {current_time - self._start_time} s\"\n",
" )\n",
- " self.__solution_count += 1\n",
+ " self._solution_count += 1\n",
"\n",
- " all_queens = range(len(self.__queens))\n",
+ " all_queens = range(len(self._queens))\n",
" for i in all_queens:\n",
" for j in all_queens:\n",
- " if self.value(self.__queens[j]) == i:\n",
+ " if self.value(self._queens[j]) == i:\n",
" # There is a queen in column j, row i.\n",
" print(\"Q\", end=\" \")\n",
" else:\n",
diff --git a/examples/notebook/examples/pell_equation_sat.ipynb b/examples/notebook/examples/pell_equation_sat.ipynb
new file mode 100644
index 0000000000..d136340121
--- /dev/null
+++ b/examples/notebook/examples/pell_equation_sat.ipynb
@@ -0,0 +1,141 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "google",
+ "metadata": {},
+ "source": [
+ "##### Copyright 2024 Google LLC."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "apache",
+ "metadata": {},
+ "source": [
+ "Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ "you may not use this file except in compliance with the License.\n",
+ "You may obtain a copy of the License at\n",
+ "\n",
+ " http://www.apache.org/licenses/LICENSE-2.0\n",
+ "\n",
+ "Unless required by applicable law or agreed to in writing, software\n",
+ "distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ "See the License for the specific language governing permissions and\n",
+ "limitations under the License.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "basename",
+ "metadata": {},
+ "source": [
+ "# pell_equation_sat"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "link",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "doc",
+ "metadata": {},
+ "source": [
+ "First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "install",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%pip install ortools"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "description",
+ "metadata": {},
+ "source": [
+ "\n",
+ "Solves Pell's equation x^2 - coeff * y^2 = 1.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "code",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from collections.abc import Sequence\n",
+ "\n",
+ "from ortools.sat.colab import flags\n",
+ "from ortools.sat.python import cp_model\n",
+ "\n",
+ "\n",
+ "_COEFF = flags.define_integer(\"coeff\", 1, \"The Pell equation coefficient.\")\n",
+ "_MAX_VALUE = flags.define_integer(\"max_value\", 5000_000, \"The maximum value.\")\n",
+ "\n",
+ "\n",
+ "def solve_pell(coeff: int, max_value: int) -> None:\n",
+ " \"\"\"Solves Pell's equation x^2 - coeff * y^2 = 1.\"\"\"\n",
+ " model = cp_model.CpModel()\n",
+ "\n",
+ " x = model.new_int_var(1, max_value, \"x\")\n",
+ " y = model.new_int_var(1, max_value, \"y\")\n",
+ "\n",
+ " # Pell's equation:\n",
+ " x_square = model.new_int_var(1, max_value * max_value, \"x_square\")\n",
+ " y_square = model.new_int_var(1, max_value * max_value, \"y_square\")\n",
+ " model.add_multiplication_equality(x_square, x, x)\n",
+ " model.add_multiplication_equality(y_square, y, y)\n",
+ " model.add(x_square - coeff * y_square == 1)\n",
+ "\n",
+ " model.add_decision_strategy(\n",
+ " [x, y], cp_model.CHOOSE_MIN_DOMAIN_SIZE, cp_model.SELECT_MIN_VALUE\n",
+ " )\n",
+ "\n",
+ " solver = cp_model.CpSolver()\n",
+ " solver.parameters.num_workers = 12\n",
+ " solver.parameters.log_search_progress = True\n",
+ " solver.parameters.cp_model_presolve = True\n",
+ " solver.parameters.cp_model_probing_level = 0\n",
+ "\n",
+ " result = solver.solve(model)\n",
+ " if result == cp_model.OPTIMAL:\n",
+ " print(f\"x={solver.value(x)} y={solver.value(y)} coeff={coeff}\")\n",
+ " if solver.value(x) ** 2 - coeff * (solver.value(y) ** 2) != 1:\n",
+ " raise ValueError(\"Pell equation not satisfied.\")\n",
+ "\n",
+ "\n",
+ "def main(argv: Sequence[str]) -> None:\n",
+ " if len(argv) > 1:\n",
+ " raise app.UsageError(\"Too many command-line arguments.\")\n",
+ " solve_pell(_COEFF.value, _MAX_VALUE.value)\n",
+ "\n",
+ "\n",
+ "main()\n",
+ "\n"
+ ]
+ }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/notebook/examples/pentominoes_sat.ipynb b/examples/notebook/examples/pentominoes_sat.ipynb
index e3d2a01a18..8f47a9623c 100644
--- a/examples/notebook/examples/pentominoes_sat.ipynb
+++ b/examples/notebook/examples/pentominoes_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -81,6 +81,9 @@
"\n",
"This problem comes from the game Katamino:\n",
"http://boardgamegeek.com/boardgame/6931/katamino\n",
+ "\n",
+ "This example also includes suggestions from\n",
+ "https://web.ma.utexas.edu/users/smmg/archive/1997/radin.html\n",
"\n"
]
},
@@ -109,6 +112,8 @@
" \"pieces\", \"FILNPTUVWXYZ\", \"The subset of pieces to consider.\"\n",
")\n",
"\n",
+ "_HEIGHT = flags.define_integer(\"height\", 5, \"The height of the box.\")\n",
+ "\n",
"\n",
"def is_one(mask: List[List[int]], x: int, y: int, orientation: int) -> bool:\n",
" \"\"\"Returns true if the oriented piece is 1 at position [i][j].\n",
@@ -171,8 +176,9 @@
"\n",
"def generate_and_solve_problem(pieces: Dict[str, List[List[int]]]) -> None:\n",
" \"\"\"Solves the pentominoes problem.\"\"\"\n",
- " box_width = len(pieces)\n",
- " box_height = 5\n",
+ " box_height = _HEIGHT.value\n",
+ " box_width = 5 * len(pieces) // box_height\n",
+ " print(f\"Box has dimension {box_height} * {box_width}\")\n",
"\n",
" model = cp_model.CpModel()\n",
" position_to_variables: List[List[List[cp_model.IntVar]]] = [\n",
@@ -209,8 +215,8 @@
" status = solver.solve(model)\n",
"\n",
" print(\n",
- " f\"Problem {_PIECES.value} solved in {solver.wall_time}s with status\"\n",
- " f\" {solver.status_name(status)}\"\n",
+ " f\"Problem {_PIECES.value} box {box_height}*{box_width} solved in\"\n",
+ " f\" {solver.wall_time}s with status {solver.status_name(status)}\"\n",
" )\n",
"\n",
" # Print the solution.\n",
@@ -250,6 +256,16 @@
" print(f\"Piece {p} not found in the list of pieces\")\n",
" return\n",
" selected_pieces[p] = pieces[p]\n",
+ " if (len(selected_pieces) * 5) % _HEIGHT.value != 0:\n",
+ " print(\n",
+ " f\"The height {_HEIGHT.value} does not divide the total area\"\n",
+ " f\" {5 * len(selected_pieces)}\"\n",
+ " )\n",
+ " return\n",
+ " if _HEIGHT.value < 3 or 5 * len(selected_pieces) // _HEIGHT.value < 3:\n",
+ " print(f\"The height {_HEIGHT.value} is not compatible with the pieces.\")\n",
+ " return\n",
+ "\n",
" generate_and_solve_problem(selected_pieces)\n",
"\n",
"\n",
diff --git a/examples/notebook/examples/prize_collecting_tsp.ipynb b/examples/notebook/examples/prize_collecting_tsp.ipynb
index 0a22c80eef..c18f94325e 100644
--- a/examples/notebook/examples/prize_collecting_tsp.ipynb
+++ b/examples/notebook/examples/prize_collecting_tsp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/prize_collecting_tsp_sat.ipynb b/examples/notebook/examples/prize_collecting_tsp_sat.ipynb
index 953b755e2a..df2d25e7c1 100644
--- a/examples/notebook/examples/prize_collecting_tsp_sat.ipynb
+++ b/examples/notebook/examples/prize_collecting_tsp_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/prize_collecting_vrp.ipynb b/examples/notebook/examples/prize_collecting_vrp.ipynb
index 9d2199ef03..59f667c073 100644
--- a/examples/notebook/examples/prize_collecting_vrp.ipynb
+++ b/examples/notebook/examples/prize_collecting_vrp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/prize_collecting_vrp_sat.ipynb b/examples/notebook/examples/prize_collecting_vrp_sat.ipynb
index ece91f2ba5..e0565da839 100644
--- a/examples/notebook/examples/prize_collecting_vrp_sat.ipynb
+++ b/examples/notebook/examples/prize_collecting_vrp_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/proto_solve.ipynb b/examples/notebook/examples/proto_solve.ipynb
index 58708fa2ed..8ef8b466e2 100644
--- a/examples/notebook/examples/proto_solve.ipynb
+++ b/examples/notebook/examples/proto_solve.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/pyflow_example.ipynb b/examples/notebook/examples/pyflow_example.ipynb
index 920b6a6e6e..d90c8fc992 100644
--- a/examples/notebook/examples/pyflow_example.ipynb
+++ b/examples/notebook/examples/pyflow_example.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/qubo_sat.ipynb b/examples/notebook/examples/qubo_sat.ipynb
index d3273c3bb4..2372041466 100644
--- a/examples/notebook/examples/qubo_sat.ipynb
+++ b/examples/notebook/examples/qubo_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/random_tsp.ipynb b/examples/notebook/examples/random_tsp.ipynb
index 42c6be3776..179aad7477 100644
--- a/examples/notebook/examples/random_tsp.ipynb
+++ b/examples/notebook/examples/random_tsp.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/rcpsp_sat.ipynb b/examples/notebook/examples/rcpsp_sat.ipynb
index da67fe4fc5..ee96bdd88b 100644
--- a/examples/notebook/examples/rcpsp_sat.ipynb
+++ b/examples/notebook/examples/rcpsp_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/reallocate_sat.ipynb b/examples/notebook/examples/reallocate_sat.ipynb
index cf54de8209..3a1aa56091 100644
--- a/examples/notebook/examples/reallocate_sat.ipynb
+++ b/examples/notebook/examples/reallocate_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -89,7 +89,6 @@
"\n",
"\n",
"def main():\n",
- "\n",
" # Data\n",
" data_0 = [\n",
" [107, 107, 107, 0, 0], # pr1\n",
@@ -105,7 +104,7 @@
" [298836792, 0, 0, 0],\n",
" [3713428, 4118530, 4107277, 3072018],\n",
" [6477273, 7183884, 5358471, 0],\n",
- " [1485371, 1647412, 1642911, 1228807]\n",
+ " [1485371, 1647412, 1642911, 1228807],\n",
" ]\n",
"\n",
" data_2 = [\n",
@@ -115,7 +114,7 @@
" [2988367, 0, 0, 0],\n",
" [37134, 41185, 41072, 30720],\n",
" [64772, 71838, 53584, 0],\n",
- " [14853, 16474, 16429, 12288]\n",
+ " [14853, 16474, 16429, 12288],\n",
" ]\n",
"\n",
" pr = data_0\n",
@@ -129,7 +128,7 @@
" model = cp_model.CpModel()\n",
"\n",
" # Variables\n",
- " delta = model.NewIntVar(0, total, 'delta')\n",
+ " delta = model.NewIntVar(0, total, \"delta\")\n",
"\n",
" contributions_per_years = collections.defaultdict(list)\n",
" contributions_per_prs = collections.defaultdict(list)\n",
@@ -138,14 +137,12 @@
" for p, inner_l in enumerate(pr):\n",
" for y, item in enumerate(inner_l):\n",
" if item != 0:\n",
- " contrib = model.NewIntVar(0, total, 'r%d c%d' % (p, y))\n",
+ " contrib = model.NewIntVar(0, total, \"r%d c%d\" % (p, y))\n",
" contributions_per_years[y].append(contrib)\n",
" contributions_per_prs[p].append(contrib)\n",
" all_contribs[p, y] = contrib\n",
"\n",
- " year_var = [\n",
- " model.NewIntVar(0, total, 'y[%i]' % i) for i in range(num_years)\n",
- " ]\n",
+ " year_var = [model.NewIntVar(0, total, \"y[%i]\" % i) for i in range(num_years)]\n",
"\n",
" # Constraints\n",
"\n",
@@ -173,32 +170,32 @@
"\n",
" # Output solution.\n",
" if status == cp_model.OPTIMAL:\n",
- " print('Data')\n",
- " print(' - total = ', total)\n",
- " print(' - year_average = ', avg)\n",
- " print(' - number of projects = ', num_pr)\n",
- " print(' - number of years = ', num_years)\n",
+ " print(\"Data\")\n",
+ " print(\" - total = \", total)\n",
+ " print(\" - year_average = \", avg)\n",
+ " print(\" - number of projects = \", num_pr)\n",
+ " print(\" - number of years = \", num_years)\n",
"\n",
- " print(' - input production')\n",
+ " print(\" - input production\")\n",
" for p in range(num_pr):\n",
" for y in range(num_years):\n",
" if pr[p][y] == 0:\n",
- " print(' ', end='')\n",
+ " print(\" \", end=\"\")\n",
" else:\n",
- " print('%10i' % pr[p][y], end='')\n",
+ " print(\"%10i\" % pr[p][y], end=\"\")\n",
" print()\n",
"\n",
- " print('Solution')\n",
+ " print(\"Solution\")\n",
" for p in range(num_pr):\n",
" for y in range(num_years):\n",
" if pr[p][y] == 0:\n",
- " print(' ', end='')\n",
+ " print(\" \", end=\"\")\n",
" else:\n",
- " print('%10i' % solver.Value(all_contribs[p, y]), end='')\n",
+ " print(\"%10i\" % solver.Value(all_contribs[p, y]), end=\"\")\n",
" print()\n",
"\n",
" for y in range(num_years):\n",
- " print('%10i' % solver.Value(year_var[y]), end='')\n",
+ " print(\"%10i\" % solver.Value(year_var[y]), end=\"\")\n",
" print()\n",
"\n",
"\n",
diff --git a/examples/notebook/examples/shift_scheduling_sat.ipynb b/examples/notebook/examples/shift_scheduling_sat.ipynb
index 5b4a551d6c..68ae241e11 100644
--- a/examples/notebook/examples/shift_scheduling_sat.ipynb
+++ b/examples/notebook/examples/shift_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -177,7 +177,7 @@
" for length in range(hard_min, soft_min):\n",
" for start in range(len(works) - length + 1):\n",
" span = negated_bounded_span(works, start, length)\n",
- " name = \": under_span(start=%i, length=%i)\" % (start, length)\n",
+ " name = f\": under_span(start={start}, length={length})\"\n",
" lit = model.new_bool_var(prefix + name)\n",
" span.append(lit)\n",
" model.add_bool_or(span)\n",
@@ -191,7 +191,7 @@
" for length in range(soft_max + 1, hard_max + 1):\n",
" for start in range(len(works) - length + 1):\n",
" span = negated_bounded_span(works, start, length)\n",
- " name = \": over_span(start=%i, length=%i)\" % (start, length)\n",
+ " name = f\": over_span(start={start}, length={length})\"\n",
" lit = model.new_bool_var(prefix + name)\n",
" span.append(lit)\n",
" model.add_bool_or(span)\n",
@@ -366,7 +366,7 @@
" for e in range(num_employees):\n",
" for s in range(num_shifts):\n",
" for d in range(num_days):\n",
- " work[e, s, d] = model.new_bool_var(\"work%i_%i_%i\" % (e, s, d))\n",
+ " work[e, s, d] = model.new_bool_var(f\"work{e}_{s}_{d}\")\n",
"\n",
" # Linear terms of the objective in a minimization context.\n",
" obj_int_vars: list[cp_model.IntVar] = []\n",
@@ -402,7 +402,7 @@
" soft_max,\n",
" hard_max,\n",
" max_cost,\n",
- " \"shift_constraint(employee %i, shift %i)\" % (e, shift),\n",
+ " f\"shift_constraint(employee {e}, shift {shift})\",\n",
" )\n",
" obj_bool_vars.extend(variables)\n",
" obj_bool_coeffs.extend(coeffs)\n",
@@ -422,8 +422,7 @@
" soft_max,\n",
" hard_max,\n",
" max_cost,\n",
- " \"weekly_sum_constraint(employee %i, shift %i, week %i)\"\n",
- " % (e, shift, w),\n",
+ " f\"weekly_sum_constraint(employee {e}, shift {shift}, week {w})\",\n",
" )\n",
" obj_int_vars.extend(variables)\n",
" obj_int_coeffs.extend(coeffs)\n",
@@ -440,7 +439,7 @@
" model.add_bool_or(transition)\n",
" else:\n",
" trans_var = model.new_bool_var(\n",
- " \"transition (employee=%i, day=%i)\" % (e, d)\n",
+ " f\"transition (employee={e}, day={d})\"\n",
" )\n",
" transition.append(trans_var)\n",
" model.add_bool_or(transition)\n",
@@ -458,7 +457,7 @@
" model.add(worked == sum(works))\n",
" over_penalty = excess_cover_penalties[s - 1]\n",
" if over_penalty > 0:\n",
- " name = \"excess_demand(shift=%i, week=%i, day=%i)\" % (s, w, d)\n",
+ " name = f\"excess_demand(shift={s}, week={w}, day={d})\"\n",
" excess = model.new_int_var(0, num_employees - min_demand, name)\n",
" model.add(excess == worked - min_demand)\n",
" obj_int_vars.append(excess)\n",
@@ -471,7 +470,7 @@
" )\n",
"\n",
" if output_proto:\n",
- " print(\"Writing proto to %s\" % output_proto)\n",
+ " print(f\"Writing proto to {output_proto}\")\n",
" with open(output_proto, \"w\") as text_file:\n",
" text_file.write(str(model))\n",
"\n",
@@ -495,7 +494,7 @@
" for s in range(num_shifts):\n",
" if solver.boolean_value(work[e, s, d]):\n",
" schedule += shifts[s] + \" \"\n",
- " print(\"worker %i: %s\" % (e, schedule))\n",
+ " print(f\"worker {e}: {schedule}\")\n",
" print()\n",
" print(\"Penalties:\")\n",
" for i, var in enumerate(obj_bool_vars):\n",
@@ -509,16 +508,12 @@
" for i, var in enumerate(obj_int_vars):\n",
" if solver.value(var) > 0:\n",
" print(\n",
- " \" %s violated by %i, linear penalty=%i\"\n",
- " % (var.name, solver.value(var), obj_int_coeffs[i])\n",
+ " f\" {var.name} violated by {solver.value(var)}, linear\"\n",
+ " f\" penalty={obj_int_coeffs[i]}\"\n",
" )\n",
"\n",
" print()\n",
- " print(\"Statistics\")\n",
- " print(\" - status : %s\" % solver.status_name(status))\n",
- " print(\" - conflicts : %i\" % solver.num_conflicts)\n",
- " print(\" - branches : %i\" % solver.num_branches)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " print(solver.response_stats())\n",
"\n",
"\n",
"def main(_):\n",
diff --git a/examples/notebook/examples/single_machine_scheduling_with_setup_release_due_dates_sat.ipynb b/examples/notebook/examples/single_machine_scheduling_with_setup_release_due_dates_sat.ipynb
index db433d3080..b8f6fede11 100644
--- a/examples/notebook/examples/single_machine_scheduling_with_setup_release_due_dates_sat.ipynb
+++ b/examples/notebook/examples/single_machine_scheduling_with_setup_release_due_dates_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -95,7 +95,7 @@
")\n",
"_PARAMS = flags.define_string(\n",
" \"params\",\n",
- " \"num_search_workers:16,log_search_progress:false,max_time_in_seconds:45\",\n",
+ " \"num_search_workers:16,log_search_progress:true,max_time_in_seconds:45\",\n",
" \"Sat solver parameters.\",\n",
")\n",
"_PREPROCESS = flags.define_bool(\n",
@@ -108,17 +108,16 @@
"class SolutionPrinter(cp_model.CpSolverSolutionCallback):\n",
" \"\"\"Print intermediate solutions.\"\"\"\n",
"\n",
- " def __init__(self):\n",
+ " def __init__(self) -> None:\n",
" cp_model.CpSolverSolutionCallback.__init__(self)\n",
" self.__solution_count = 0\n",
"\n",
- " def on_solution_callback(self):\n",
- " \"\"\"Called after each new solution found.\"\"\"\n",
+ " def on_solution_callback(self) -> None:\n",
+ " \"\"\"Called at each new solution.\"\"\"\n",
" print(\n",
- " \"Solution %i, time = %f s, objective = %i\"\n",
- " % (self.__solution_count, self.wall_time, self.objective_value)\n",
+ " f\"Solution {self.__solution_count}, time = {self.wall_time} s,\"\n",
+ " f\" objective = {self.objective_value}\"\n",
" )\n",
- " self.__solution_count += 1\n",
"\n",
"\n",
"def single_machine_scheduling():\n",
@@ -461,9 +460,7 @@
" if min_incoming_setup == 0:\n",
" continue\n",
"\n",
- " print(\n",
- " \"job %i has a min incoming setup of %i\" % (job_id, min_incoming_setup)\n",
- " )\n",
+ " print(f\"job {job_id} has a min incoming setup of {min_incoming_setup}\")\n",
" # We can transfer some setup times to the duration of the job.\n",
" job_durations[job_id] += min_incoming_setup\n",
" # Decrease corresponding incoming setup times.\n",
@@ -482,7 +479,7 @@
" horizon = sum(job_durations) + sum(\n",
" max(setup_times[i][j] for i in range(num_jobs + 1)) for j in range(num_jobs)\n",
" )\n",
- " print(\"Greedy horizon =\", horizon)\n",
+ " print(f\"Greedy horizon = {horizon}\")\n",
"\n",
" # ----------------------------------------------------------------------------\n",
" # Global storage of variables.\n",
@@ -497,10 +494,10 @@
" release_date = release_dates[job_id]\n",
" due_date = due_dates[job_id] if due_dates[job_id] != -1 else horizon\n",
" print(\n",
- " \"job %2i: start = %5i, duration = %4i, end = %6i\"\n",
- " % (job_id, release_date, duration, due_date)\n",
+ " f\"job {job_id:2}: start = {release_date:5}, duration = {duration:4},\"\n",
+ " f\" end = {due_date:6}\"\n",
" )\n",
- " name_suffix = \"_%i\" % job_id\n",
+ " name_suffix = f\"_{job_id}\"\n",
" start = model.new_int_var(release_date, due_date, \"s\" + name_suffix)\n",
" end = model.new_int_var(release_date, due_date, \"e\" + name_suffix)\n",
" interval = model.new_interval_var(start, duration, end, \"i\" + name_suffix)\n",
@@ -528,7 +525,7 @@
" if i == j:\n",
" continue\n",
"\n",
- " lit = model.new_bool_var(\"%i follows %i\" % (j, i))\n",
+ " lit = model.new_bool_var(f\"{j} follows {i}\")\n",
" arcs.append((i + 1, j + 1, lit))\n",
"\n",
" # We add the reified precedence to link the literal with the times of the\n",
@@ -549,7 +546,7 @@
" # ----------------------------------------------------------------------------\n",
" # Precedences.\n",
" for before, after in precedences:\n",
- " print(\"job %i is after job %i\" % (after, before))\n",
+ " print(f\"job {after} is after job {before}\")\n",
" model.add(ends[before] <= starts[after])\n",
"\n",
" # ----------------------------------------------------------------------------\n",
@@ -561,7 +558,7 @@
" # ----------------------------------------------------------------------------\n",
" # Write problem to file.\n",
" if output_proto_file:\n",
- " print(\"Writing proto to %s\" % output_proto_file)\n",
+ " print(f\"Writing proto to {output_proto_file}\")\n",
" with open(output_proto_file, \"w\") as text_file:\n",
" text_file.write(str(model))\n",
"\n",
@@ -571,12 +568,12 @@
" if parameters:\n",
" text_format.Parse(parameters, solver.parameters)\n",
" solution_printer = SolutionPrinter()\n",
- " solver.best_bound_callback = lambda a : print(f\"New objective lower bound: {a}\")\n",
+ " solver.best_bound_callback = lambda a: print(f\"New objective lower bound: {a}\")\n",
" solver.solve(model, solution_printer)\n",
" for job_id in all_jobs:\n",
" print(\n",
- " \"job %i starts at %i end ends at %i\"\n",
- " % (job_id, solver.value(starts[job_id]), solver.value(ends[job_id]))\n",
+ " f\"job {job_id} starts at {solver.value(starts[job_id])} end ends at\"\n",
+ " f\" {solver.value(ends[job_id])}\"\n",
" )\n",
"\n",
"\n",
diff --git a/examples/notebook/examples/spread_robots_sat.ipynb b/examples/notebook/examples/spread_robots_sat.ipynb
index 0108997abd..f59067cf5d 100644
--- a/examples/notebook/examples/spread_robots_sat.ipynb
+++ b/examples/notebook/examples/spread_robots_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -100,7 +100,7 @@
")\n",
"\n",
"\n",
- "def spread_robots(num_robots: int, room_size: int, params: str):\n",
+ "def spread_robots(num_robots: int, room_size: int, params: str) -> None:\n",
" \"\"\"Optimize robots placement.\"\"\"\n",
" model = cp_model.CpModel()\n",
"\n",
diff --git a/examples/notebook/examples/steel_mill_slab_sat.ipynb b/examples/notebook/examples/steel_mill_slab_sat.ipynb
index f41ba73058..effe92258d 100644
--- a/examples/notebook/examples/steel_mill_slab_sat.ipynb
+++ b/examples/notebook/examples/steel_mill_slab_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -106,13 +106,10 @@
")\n",
"\n",
"\n",
- "def build_problem(problem_id):\n",
+ "def build_problem(\n",
+ " problem_id: int,\n",
+ ") -> tuple[int, list[int], int, list[tuple[int, int]]]:\n",
" \"\"\"Build problem data.\"\"\"\n",
- " capacities = None\n",
- " num_colors = None\n",
- " num_slabs = None\n",
- " orders = None\n",
- "\n",
" if problem_id == 0:\n",
" capacities = [\n",
" # fmt:off\n",
@@ -167,15 +164,22 @@
" # fmt:on\n",
" ]\n",
"\n",
- " elif problem_id == 3:\n",
+ " else: # problem_id == 3, default problem.\n",
" capacities = [0, 17, 44]\n",
" num_colors = 8\n",
" num_slabs = 10\n",
" orders = [ # (size, color)\n",
- " # fmt:off\n",
- " (4, 1), (22, 2), (9, 3), (5, 4), (8, 5), (3, 6), (3, 4), (4, 7),\n",
- " (7, 4), (7, 8), (3, 6),\n",
- " # fmt:on\n",
+ " (4, 1),\n",
+ " (22, 2),\n",
+ " (9, 3),\n",
+ " (5, 4),\n",
+ " (8, 5),\n",
+ " (3, 6),\n",
+ " (3, 4),\n",
+ " (4, 7),\n",
+ " (7, 4),\n",
+ " (7, 8),\n",
+ " (3, 6),\n",
" ]\n",
"\n",
" return (num_slabs, capacities, num_colors, orders)\n",
@@ -184,7 +188,7 @@
"class SteelMillSlabSolutionPrinter(cp_model.CpSolverSolutionCallback):\n",
" \"\"\"Print intermediate solutions.\"\"\"\n",
"\n",
- " def __init__(self, orders, assign, load, loss):\n",
+ " def __init__(self, orders, assign, load, loss) -> None:\n",
" cp_model.CpSolverSolutionCallback.__init__(self)\n",
" self.__orders = orders\n",
" self.__assign = assign\n",
@@ -195,13 +199,13 @@
" self.__all_slabs = range(len(assign[0]))\n",
" self.__start_time = time.time()\n",
"\n",
- " def on_solution_callback(self):\n",
+ " def on_solution_callback(self) -> None:\n",
" \"\"\"Called on each new solution.\"\"\"\n",
" current_time = time.time()\n",
" objective = sum(self.value(l) for l in self.__loss)\n",
" print(\n",
- " \"Solution %i, time = %f s, objective = %i\"\n",
- " % (self.__solution_count, current_time - self.__start_time, objective)\n",
+ " f\"Solution {self.__solution_count}, time =\"\n",
+ " f\" {current_time - self.__start_time} s, objective = {objective}\"\n",
" )\n",
" self.__solution_count += 1\n",
" orders_in_slab = [\n",
@@ -210,25 +214,20 @@
" ]\n",
" for s in self.__all_slabs:\n",
" if orders_in_slab[s]:\n",
- " line = \" - slab %i, load = %i, loss = %i, orders = [\" % (\n",
- " s,\n",
- " self.value(self.__load[s]),\n",
- " self.value(self.__loss[s]),\n",
+ " line = (\n",
+ " f\" - slab {s}, load = {self.value(self.__load[s])}, loss =\"\n",
+ " f\" {self.value(self.__loss[s])}, orders = [\"\n",
" )\n",
" for o in orders_in_slab[s]:\n",
- " line += \"#%i(w%i, c%i) \" % (\n",
- " o,\n",
- " self.__orders[o][0],\n",
- " self.__orders[o][1],\n",
- " )\n",
+ " line += f\"#{o}(w{self.__orders[o][0]}, c{self.__orders[o][1]})\"\n",
" line += \"]\"\n",
" print(line)\n",
"\n",
"\n",
- "def steel_mill_slab(problem, break_symmetries):\n",
+ "def steel_mill_slab(problem_id: int, break_symmetries: bool) -> None:\n",
" \"\"\"Solves the Steel Mill Slab Problem.\"\"\"\n",
" ### Load problem.\n",
- " (num_slabs, capacities, num_colors, orders) = build_problem(problem)\n",
+ " num_slabs, capacities, num_colors, orders = build_problem(problem_id)\n",
"\n",
" num_orders = len(orders)\n",
" num_capacities = len(capacities)\n",
@@ -236,8 +235,8 @@
" all_colors = range(num_colors)\n",
" all_orders = range(len(orders))\n",
" print(\n",
- " \"Solving steel mill with %i orders, %i slabs, and %i capacities\"\n",
- " % (num_orders, num_slabs, num_capacities - 1)\n",
+ " f\"Solving steel mill with {num_orders} orders, {num_slabs} slabs, and\"\n",
+ " f\" {num_capacities - 1} capacities\"\n",
" )\n",
"\n",
" # Compute auxiliary data.\n",
@@ -260,14 +259,12 @@
" # Create the model and the decision variables.\n",
" model = cp_model.CpModel()\n",
" assign = [\n",
- " [model.new_bool_var(\"assign_%i_to_slab_%i\" % (o, s)) for s in all_slabs]\n",
+ " [model.new_bool_var(f\"assign_{o}_to_slab_{s}\") for s in all_slabs]\n",
" for o in all_orders\n",
" ]\n",
- " loads = [\n",
- " model.new_int_var(0, max_capacity, \"load_of_slab_%i\" % s) for s in all_slabs\n",
- " ]\n",
+ " loads = [model.new_int_var(0, max_capacity, f\"load_of_slab_{s}\") for s in all_slabs]\n",
" color_is_in_slab = [\n",
- " [model.new_bool_var(\"color_%i_in_slab_%i\" % (c + 1, s)) for c in all_colors]\n",
+ " [model.new_bool_var(f\"color_{c + 1}_in_slab_{s}\") for c in all_colors]\n",
" for s in all_slabs\n",
" ]\n",
"\n",
@@ -334,19 +331,19 @@
" # Create position variables if there are symmetries to be broken.\n",
" if break_symmetries and ordered_equivalent_orders:\n",
" print(\n",
- " \" - creating %i symmetry breaking constraints\"\n",
- " % len(ordered_equivalent_orders)\n",
+ " f\" - creating {len(ordered_equivalent_orders)} symmetry breaking\"\n",
+ " \" constraints\"\n",
" )\n",
" positions = {}\n",
" for p in ordered_equivalent_orders:\n",
" if p[0] not in positions:\n",
" positions[p[0]] = model.new_int_var(\n",
- " 0, num_slabs - 1, \"position_of_slab_%i\" % p[0]\n",
+ " 0, num_slabs - 1, f\"position_of_slab_{p[0]}\"\n",
" )\n",
" model.add_map_domain(positions[p[0]], assign[p[0]])\n",
" if p[1] not in positions:\n",
" positions[p[1]] = model.new_int_var(\n",
- " 0, num_slabs - 1, \"position_of_slab_%i\" % p[1]\n",
+ " 0, num_slabs - 1, f\"position_of_slab_{p[1]}\"\n",
" )\n",
" model.add_map_domain(positions[p[1]], assign[p[1]])\n",
" # Finally add the symmetry breaking constraint.\n",
@@ -354,7 +351,7 @@
"\n",
" # Objective.\n",
" obj = model.new_int_var(0, num_slabs * max_loss, \"obj\")\n",
- " losses = [model.new_int_var(0, max_loss, \"loss_%i\" % s) for s in all_slabs]\n",
+ " losses = [model.new_int_var(0, max_loss, f\"loss_{s}\") for s in all_slabs]\n",
" for s in all_slabs:\n",
" model.add_element(loads[s], loss_array, losses[s])\n",
" model.add(obj == sum(losses))\n",
@@ -370,14 +367,19 @@
" ### Output the solution.\n",
" if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" print(\n",
- " \"Loss = %i, time = %f s, %i conflicts\"\n",
- " % (solver.objective_value, solver.wall_time, solver.num_conflicts)\n",
+ " f\"Loss = {solver.objective_value}, time = {solver.wall_time} s,\"\n",
+ " f\" {solver.num_conflicts} conflicts\"\n",
" )\n",
" else:\n",
" print(\"No solution\")\n",
"\n",
"\n",
- "def collect_valid_slabs_dp(capacities, colors, widths, loss_array):\n",
+ "def collect_valid_slabs_dp(\n",
+ " capacities: list[int],\n",
+ " colors: list[int],\n",
+ " widths: list[int],\n",
+ " loss_array: list[int],\n",
+ ") -> list[list[int]]:\n",
" \"\"\"Collect valid columns (assign, loss) for one slab.\"\"\"\n",
" start_time = time.time()\n",
"\n",
@@ -406,8 +408,8 @@
" all_valid_assignments.extend(new_assignments)\n",
"\n",
" print(\n",
- " \"%i assignments created in %.2f s\"\n",
- " % (len(all_valid_assignments), time.time() - start_time)\n",
+ " f\"{len(all_valid_assignments)} assignments created in\"\n",
+ " f\" {time.time() - start_time:2f} s\"\n",
" )\n",
" tuples = []\n",
" for assignment in all_valid_assignments:\n",
@@ -421,10 +423,10 @@
" return tuples\n",
"\n",
"\n",
- "def steel_mill_slab_with_valid_slabs(problem, break_symmetries):\n",
+ "def steel_mill_slab_with_valid_slabs(problem_id: int, break_symmetries: bool) -> None:\n",
" \"\"\"Solves the Steel Mill Slab Problem.\"\"\"\n",
" ### Load problem.\n",
- " (num_slabs, capacities, num_colors, orders) = build_problem(problem)\n",
+ " (num_slabs, capacities, num_colors, orders) = build_problem(problem_id)\n",
"\n",
" num_orders = len(orders)\n",
" num_capacities = len(capacities)\n",
@@ -432,8 +434,8 @@
" all_colors = range(num_colors)\n",
" all_orders = range(len(orders))\n",
" print(\n",
- " \"Solving steel mill with %i orders, %i slabs, and %i capacities\"\n",
- " % (num_orders, num_slabs, num_capacities - 1)\n",
+ " f\"Solving steel mill with {num_orders} orders, {num_slabs} slabs, and\"\n",
+ " f\" {num_capacities - 1} capacities\"\n",
" )\n",
"\n",
" # Compute auxiliary data.\n",
@@ -450,11 +452,11 @@
" # Create the model and the decision variables.\n",
" model = cp_model.CpModel()\n",
" assign = [\n",
- " [model.new_bool_var(\"assign_%i_to_slab_%i\" % (o, s)) for s in all_slabs]\n",
+ " [model.new_bool_var(r\"assign_{o}_to_slab_{s}\") for s in all_slabs]\n",
" for o in all_orders\n",
" ]\n",
- " loads = [model.new_int_var(0, max_capacity, \"load_%i\" % s) for s in all_slabs]\n",
- " losses = [model.new_int_var(0, max_loss, \"loss_%i\" % s) for s in all_slabs]\n",
+ " loads = [model.new_int_var(0, max_capacity, f\"load_{s}\") for s in all_slabs]\n",
+ " losses = [model.new_int_var(0, max_loss, f\"loss_{s}\") for s in all_slabs]\n",
"\n",
" unsorted_valid_slabs = collect_valid_slabs_dp(\n",
" capacities, colors, widths, loss_array\n",
@@ -516,19 +518,19 @@
" # Create position variables if there are symmetries to be broken.\n",
" if ordered_equivalent_orders:\n",
" print(\n",
- " \" - creating %i symmetry breaking constraints\"\n",
- " % len(ordered_equivalent_orders)\n",
+ " f\" - creating {len(ordered_equivalent_orders)} symmetry breaking\"\n",
+ " \" constraints\"\n",
" )\n",
" positions = {}\n",
" for p in ordered_equivalent_orders:\n",
" if p[0] not in positions:\n",
" positions[p[0]] = model.new_int_var(\n",
- " 0, num_slabs - 1, \"position_of_slab_%i\" % p[0]\n",
+ " 0, num_slabs - 1, f\"position_of_slab_{p[0]}\"\n",
" )\n",
" model.add_map_domain(positions[p[0]], assign[p[0]])\n",
" if p[1] not in positions:\n",
" positions[p[1]] = model.new_int_var(\n",
- " 0, num_slabs - 1, \"position_of_slab_%i\" % p[1]\n",
+ " 0, num_slabs - 1, f\"position_of_slab_{p[1]}\"\n",
" )\n",
" model.add_map_domain(positions[p[1]], assign[p[1]])\n",
" # Finally add the symmetry breaking constraint.\n",
@@ -550,24 +552,24 @@
" ### Output the solution.\n",
" if status == cp_model.OPTIMAL:\n",
" print(\n",
- " \"Loss = %i, time = %.2f s, %i conflicts\"\n",
- " % (solver.objective_value, solver.wall_time, solver.num_conflicts)\n",
+ " f\"Loss = {solver.objective_value}, time = {solver.wall_time:2f} s,\"\n",
+ " f\" {solver.num_conflicts} conflicts\"\n",
" )\n",
" else:\n",
" print(\"No solution\")\n",
"\n",
"\n",
- "def steel_mill_slab_with_column_generation(problem):\n",
+ "def steel_mill_slab_with_column_generation(problem_id: int) -> None:\n",
" \"\"\"Solves the Steel Mill Slab Problem.\"\"\"\n",
" ### Load problem.\n",
- " (num_slabs, capacities, _, orders) = build_problem(problem)\n",
+ " (num_slabs, capacities, _, orders) = build_problem(problem_id)\n",
"\n",
" num_orders = len(orders)\n",
" num_capacities = len(capacities)\n",
" all_orders = range(len(orders))\n",
" print(\n",
- " \"Solving steel mill with %i orders, %i slabs, and %i capacities\"\n",
- " % (num_orders, num_slabs, num_capacities - 1)\n",
+ " f\"Solving steel mill with {num_orders} orders, {num_slabs} slabs, and\"\n",
+ " f\" {num_capacities - 1} capacities\"\n",
" )\n",
"\n",
" # Compute auxiliary data.\n",
@@ -591,7 +593,7 @@
"\n",
" # create model and decision variables.\n",
" model = cp_model.CpModel()\n",
- " selected = [model.new_bool_var(\"selected_%i\" % i) for i in all_valid_slabs]\n",
+ " selected = [model.new_bool_var(f\"selected_{i}\") for i in all_valid_slabs]\n",
"\n",
" for order_id in all_orders:\n",
" model.add(\n",
@@ -619,8 +621,8 @@
" ### Output the solution.\n",
" if status in (cp_model.OPTIMAL, cp_model.FEASIBLE):\n",
" print(\n",
- " \"Loss = %i, time = %.2f s, %i conflicts\"\n",
- " % (solver.objective_value, solver.wall_time, solver.num_conflicts)\n",
+ " f\"Loss = {solver.objective_value}, time = {solver.wall_time:2f} s,\"\n",
+ " f\" {solver.num_conflicts} conflicts\"\n",
" )\n",
" else:\n",
" print(\"No solution\")\n",
diff --git a/examples/notebook/examples/sudoku_sat.ipynb b/examples/notebook/examples/sudoku_sat.ipynb
index bf099994ae..85bf780cb1 100644
--- a/examples/notebook/examples/sudoku_sat.ipynb
+++ b/examples/notebook/examples/sudoku_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -86,7 +86,7 @@
"from ortools.sat.python import cp_model\n",
"\n",
"\n",
- "def solve_sudoku():\n",
+ "def solve_sudoku() -> None:\n",
" \"\"\"Solves the sudoku problem with the CP-SAT solver.\"\"\"\n",
" # Create the model.\n",
" model = cp_model.CpModel()\n",
diff --git a/examples/notebook/examples/task_allocation_sat.ipynb b/examples/notebook/examples/task_allocation_sat.ipynb
index 41e056b698..ab7e77752d 100644
--- a/examples/notebook/examples/task_allocation_sat.ipynb
+++ b/examples/notebook/examples/task_allocation_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -91,7 +91,7 @@
"from ortools.sat.python import cp_model\n",
"\n",
"\n",
- "def task_allocation_sat():\n",
+ "def task_allocation_sat() -> None:\n",
" \"\"\"Solves the task allocation problem.\"\"\"\n",
" # Availability matrix.\n",
" available = [\n",
@@ -314,9 +314,9 @@
" assign = {}\n",
" for task in all_tasks:\n",
" for slot in all_slots:\n",
- " assign[(task, slot)] = model.new_bool_var(\"x[%i][%i]\" % (task, slot))\n",
+ " assign[(task, slot)] = model.new_bool_var(f\"x[{task}][{slot}]\")\n",
" count = model.new_int_var(0, nslots, \"count\")\n",
- " slot_used = [model.new_bool_var(\"slot_used[%i]\" % s) for s in all_slots]\n",
+ " slot_used = [model.new_bool_var(f\"slot_used[{s}]\") for s in all_slots]\n",
"\n",
" for task in all_tasks:\n",
" model.add(\n",
@@ -353,12 +353,7 @@
" # Uses the portfolion of heuristics.\n",
" solver.parameters.log_search_progress = True\n",
" solver.parameters.num_search_workers = 16\n",
- " status = solver.solve(model)\n",
- "\n",
- " print(\"Statistics\")\n",
- " print(\" - status =\", solver.status_name(status))\n",
- " print(\" - optimal solution =\", solver.objective_value)\n",
- " print(\" - wall time : %f s\" % solver.wall_time)\n",
+ " solver.solve(model)\n",
"\n",
"\n",
"def main(argv: Sequence[str]) -> None:\n",
diff --git a/examples/notebook/examples/tasks_and_workers_assignment_sat.ipynb b/examples/notebook/examples/tasks_and_workers_assignment_sat.ipynb
index b436483c2e..2bfdd2250f 100644
--- a/examples/notebook/examples/tasks_and_workers_assignment_sat.ipynb
+++ b/examples/notebook/examples/tasks_and_workers_assignment_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -102,7 +102,7 @@
" self.__solution_count += 1\n",
"\n",
"\n",
- "def tasks_and_workers_assignment_sat():\n",
+ "def tasks_and_workers_assignment_sat() -> None:\n",
" \"\"\"solve the assignment problem.\"\"\"\n",
" model = cp_model.CpModel()\n",
"\n",
diff --git a/examples/notebook/examples/test_scheduling_sat.ipynb b/examples/notebook/examples/test_scheduling_sat.ipynb
new file mode 100644
index 0000000000..fd94dc99cd
--- /dev/null
+++ b/examples/notebook/examples/test_scheduling_sat.ipynb
@@ -0,0 +1,251 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "google",
+ "metadata": {},
+ "source": [
+ "##### Copyright 2024 Google LLC."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "apache",
+ "metadata": {},
+ "source": [
+ "Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ "you may not use this file except in compliance with the License.\n",
+ "You may obtain a copy of the License at\n",
+ "\n",
+ " http://www.apache.org/licenses/LICENSE-2.0\n",
+ "\n",
+ "Unless required by applicable law or agreed to in writing, software\n",
+ "distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ "See the License for the specific language governing permissions and\n",
+ "limitations under the License.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "basename",
+ "metadata": {},
+ "source": [
+ "# test_scheduling_sat"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "link",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "doc",
+ "metadata": {},
+ "source": [
+ "First, you must install [ortools](https://pypi.org/project/ortools/) package in this colab."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "install",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%pip install ortools"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "description",
+ "metadata": {},
+ "source": [
+ "\n",
+ "Solves a test scheduling problem.\n",
+ "\n",
+ "Tests must be run by an operator. Tests have a duration and a power consumption.\n",
+ "\n",
+ "Operators draw power from power supplies. The mapping between operators and\n",
+ "power supplies is given.\n",
+ "\n",
+ "Power supplies have a maximum power they can deliver.\n",
+ "\n",
+ "Can we schedule the tests so that the power consumption of each power supply is\n",
+ "always below its maximum power, and the total makespan is minimized?\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "code",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from collections.abc import Sequence\n",
+ "import io\n",
+ "from typing import Dict, Tuple\n",
+ "\n",
+ "from ortools.sat.colab import flags\n",
+ "import pandas as pd\n",
+ "\n",
+ "from google.protobuf import text_format\n",
+ "from ortools.sat.python import cp_model\n",
+ "\n",
+ "\n",
+ "_PARAMS = flags.define_string(\n",
+ " \"params\",\n",
+ " \"num_search_workers:16,log_search_progress:true,max_time_in_seconds:45\",\n",
+ " \"Sat solver parameters.\",\n",
+ ")\n",
+ "\n",
+ "\n",
+ "def build_data() -> tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:\n",
+ " \"\"\"Build the data frame.\"\"\"\n",
+ " tests_str = \"\"\"\n",
+ " Name Operator TestTime AveragePower\n",
+ " T1 O1 300 200\n",
+ " T2 O1 150 40\n",
+ " T3 O2 100 65\n",
+ " T4 O2 250 150\n",
+ " T5 O3 210 140\n",
+ " \"\"\"\n",
+ "\n",
+ " operators_str = \"\"\"\n",
+ " Operator Supply\n",
+ " O1 S1\n",
+ " O2 S2\n",
+ " O3 S2\n",
+ " \"\"\"\n",
+ "\n",
+ " supplies_str = \"\"\"\n",
+ " Supply MaxAllowedPower\n",
+ " S1 230\n",
+ " S2 210\n",
+ " \"\"\"\n",
+ "\n",
+ " tests_data = pd.read_table(io.StringIO(tests_str), sep=r\"\\s+\")\n",
+ " operators_data = pd.read_table(io.StringIO(operators_str), sep=r\"\\s+\")\n",
+ " supplies_data = pd.read_table(io.StringIO(supplies_str), sep=r\"\\s+\")\n",
+ "\n",
+ " return (tests_data, operators_data, supplies_data)\n",
+ "\n",
+ "\n",
+ "def solve(\n",
+ " tests_data: pd.DataFrame,\n",
+ " operator_data: pd.DataFrame,\n",
+ " supplies_data: pd.DataFrame,\n",
+ ") -> None:\n",
+ " \"\"\"Solve the scheduling of tests problem.\"\"\"\n",
+ "\n",
+ " # Parses data.\n",
+ " operator_to_supply: Dict[str, str] = {}\n",
+ " for _, row in operator_data.iterrows():\n",
+ " operator_to_supply[row[\"Operator\"]] = row[\"Supply\"]\n",
+ "\n",
+ " supply_to_max_power: Dict[str, int] = {}\n",
+ " for _, row in supplies_data.iterrows():\n",
+ " supply_to_max_power[row[\"Supply\"]] = row[\"MaxAllowedPower\"]\n",
+ "\n",
+ " horizon = tests_data[\"TestTime\"].sum()\n",
+ "\n",
+ " # OR-Tools model.\n",
+ " model = cp_model.CpModel()\n",
+ "\n",
+ " # Create containers.\n",
+ " tests_per_supply: Dict[str, Tuple[list[cp_model.IntervalVar], list[int]]] = {}\n",
+ " test_supply: Dict[str, str] = {}\n",
+ " test_starts: Dict[str, cp_model.IntVar] = {}\n",
+ " test_durations: Dict[str, int] = {}\n",
+ " test_powers: Dict[str, int] = {}\n",
+ " all_ends = []\n",
+ "\n",
+ " # Creates intervals.\n",
+ " for _, row in tests_data.iterrows():\n",
+ " name: str = row[\"Name\"]\n",
+ " operator: str = row[\"Operator\"]\n",
+ " test_time: int = row[\"TestTime\"]\n",
+ " average_power: int = row[\"AveragePower\"]\n",
+ " supply: str = operator_to_supply[operator]\n",
+ "\n",
+ " start = model.new_int_var(0, horizon - test_time, f\"start_{name}\")\n",
+ " interval = model.new_fixed_size_interval_var(\n",
+ " start, test_time, f\"interval_{name}\"\n",
+ " )\n",
+ "\n",
+ " # Bookkeeping.\n",
+ " test_starts[name] = start\n",
+ " test_durations[name] = test_time\n",
+ " test_powers[name] = average_power\n",
+ " test_supply[name] = supply\n",
+ " if supply not in tests_per_supply.keys():\n",
+ " tests_per_supply[supply] = ([], [])\n",
+ " tests_per_supply[supply][0].append(interval)\n",
+ " tests_per_supply[supply][1].append(average_power)\n",
+ " all_ends.append(start + test_time)\n",
+ "\n",
+ " # Create supply cumulative constraints.\n",
+ " for supply, (intervals, demands) in tests_per_supply.items():\n",
+ " model.add_cumulative(intervals, demands, supply_to_max_power[supply])\n",
+ "\n",
+ " # Objective.\n",
+ " makespan = model.new_int_var(0, horizon, \"makespan\")\n",
+ " for end in all_ends:\n",
+ " model.add(makespan >= end)\n",
+ " model.minimize(makespan)\n",
+ "\n",
+ " # Solve model.\n",
+ " solver = cp_model.CpSolver()\n",
+ " if _PARAMS.value:\n",
+ " text_format.Parse(_PARAMS.value, solver.parameters)\n",
+ " status = solver.solve(model)\n",
+ "\n",
+ " # Report solution.\n",
+ " if status == cp_model.OPTIMAL or status == cp_model.FEASIBLE:\n",
+ " print(f\"Makespan = {solver.value(makespan)}\")\n",
+ " for name, start in test_starts.items():\n",
+ " print(\n",
+ " f\"{name}: start:{solver.value(start)} duration:{test_durations[name]}\"\n",
+ " f\" power:{test_powers[name]} on supply {test_supply[name]}\"\n",
+ " )\n",
+ "\n",
+ "\n",
+ "def main(argv: Sequence[str]) -> None:\n",
+ " \"\"\"Builds the data and solve the scheduling problem.\"\"\"\n",
+ " if len(argv) > 1:\n",
+ " raise app.UsageError(\"Too many command-line arguments.\")\n",
+ "\n",
+ " tests_data, operators_data, supplies_data = build_data()\n",
+ " print(\"Tests data\")\n",
+ " print(tests_data)\n",
+ " print()\n",
+ " print(\"Operators data\")\n",
+ " print(operators_data)\n",
+ " print()\n",
+ " print(\"Supplies data\")\n",
+ " print(supplies_data)\n",
+ "\n",
+ " solve(tests_data, operators_data, supplies_data)\n",
+ "\n",
+ "\n",
+ "main()\n",
+ "\n"
+ ]
+ }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/notebook/examples/transit_time.ipynb b/examples/notebook/examples/transit_time.ipynb
index bcd5687089..073c4d9aa7 100644
--- a/examples/notebook/examples/transit_time.ipynb
+++ b/examples/notebook/examples/transit_time.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/tsp_sat.ipynb b/examples/notebook/examples/tsp_sat.ipynb
index 3917b3e864..8704e02160 100644
--- a/examples/notebook/examples/tsp_sat.ipynb
+++ b/examples/notebook/examples/tsp_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/examples/vendor_scheduling_sat.ipynb b/examples/notebook/examples/vendor_scheduling_sat.ipynb
index 8c71c011a3..f23d5dc94b 100644
--- a/examples/notebook/examples/vendor_scheduling_sat.ipynb
+++ b/examples/notebook/examples/vendor_scheduling_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -131,7 +131,7 @@
" return self.__solution_count\n",
"\n",
"\n",
- "def vendor_scheduling_sat():\n",
+ "def vendor_scheduling_sat() -> None:\n",
" \"\"\"Create the shift scheduling model and solve it.\"\"\"\n",
" # Create the model.\n",
" model = cp_model.CpModel()\n",
diff --git a/examples/notebook/examples/wedding_optimal_chart_sat.ipynb b/examples/notebook/examples/wedding_optimal_chart_sat.ipynb
index 06abd55693..c27f1c2c78 100644
--- a/examples/notebook/examples/wedding_optimal_chart_sat.ipynb
+++ b/examples/notebook/examples/wedding_optimal_chart_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -198,7 +198,7 @@
" return num_tables, table_capacity, min_known_neighbors, connections, names\n",
"\n",
"\n",
- "def solve_with_discrete_model():\n",
+ "def solve_with_discrete_model() -> None:\n",
" \"\"\"Discrete approach.\"\"\"\n",
" num_tables, table_capacity, min_known_neighbors, connections, names = build_data()\n",
"\n",
diff --git a/examples/notebook/examples/weighted_latency_problem_sat.ipynb b/examples/notebook/examples/weighted_latency_problem_sat.ipynb
index 270789e36e..5267fe8663 100644
--- a/examples/notebook/examples/weighted_latency_problem_sat.ipynb
+++ b/examples/notebook/examples/weighted_latency_problem_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
@@ -122,7 +122,7 @@
" return x, y, profits\n",
"\n",
"\n",
- "def solve_with_cp_sat(x, y, profits):\n",
+ "def solve_with_cp_sat(x, y, profits) -> None:\n",
" \"\"\"Solves the problem with the CP-SAT solver.\"\"\"\n",
" model = cp_model.CpModel()\n",
"\n",
diff --git a/examples/notebook/examples/zebra_sat.ipynb b/examples/notebook/examples/zebra_sat.ipynb
index acc02dcddc..3b78497478 100644
--- a/examples/notebook/examples/zebra_sat.ipynb
+++ b/examples/notebook/examples/zebra_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/graph/assignment_linear_sum_assignment.ipynb b/examples/notebook/graph/assignment_linear_sum_assignment.ipynb
index 4d9fcd7645..c0edfe8444 100644
--- a/examples/notebook/graph/assignment_linear_sum_assignment.ipynb
+++ b/examples/notebook/graph/assignment_linear_sum_assignment.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/graph/assignment_min_flow.ipynb b/examples/notebook/graph/assignment_min_flow.ipynb
index 65b5fe8066..e8a998a10d 100644
--- a/examples/notebook/graph/assignment_min_flow.ipynb
+++ b/examples/notebook/graph/assignment_min_flow.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/graph/balance_min_flow.ipynb b/examples/notebook/graph/balance_min_flow.ipynb
index 4f4610d7a1..b1c9d3fbd9 100644
--- a/examples/notebook/graph/balance_min_flow.ipynb
+++ b/examples/notebook/graph/balance_min_flow.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/graph/simple_max_flow_program.ipynb b/examples/notebook/graph/simple_max_flow_program.ipynb
index 7fd3732f68..565b87b392 100644
--- a/examples/notebook/graph/simple_max_flow_program.ipynb
+++ b/examples/notebook/graph/simple_max_flow_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/graph/simple_min_cost_flow_program.ipynb b/examples/notebook/graph/simple_min_cost_flow_program.ipynb
index ab10714e41..0f754965ee 100644
--- a/examples/notebook/graph/simple_min_cost_flow_program.ipynb
+++ b/examples/notebook/graph/simple_min_cost_flow_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/assignment_groups_mip.ipynb b/examples/notebook/linear_solver/assignment_groups_mip.ipynb
index cf4e28298f..e2c72d3bd5 100644
--- a/examples/notebook/linear_solver/assignment_groups_mip.ipynb
+++ b/examples/notebook/linear_solver/assignment_groups_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/assignment_mb.ipynb b/examples/notebook/linear_solver/assignment_mb.ipynb
index 34b7ac0a9d..a6808aeacd 100644
--- a/examples/notebook/linear_solver/assignment_mb.ipynb
+++ b/examples/notebook/linear_solver/assignment_mb.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/assignment_mip.ipynb b/examples/notebook/linear_solver/assignment_mip.ipynb
index 6540ed8f04..f814693fa9 100644
--- a/examples/notebook/linear_solver/assignment_mip.ipynb
+++ b/examples/notebook/linear_solver/assignment_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/assignment_task_sizes_mip.ipynb b/examples/notebook/linear_solver/assignment_task_sizes_mip.ipynb
index 2b1f0b69f0..3bfb3141f4 100644
--- a/examples/notebook/linear_solver/assignment_task_sizes_mip.ipynb
+++ b/examples/notebook/linear_solver/assignment_task_sizes_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/assignment_teams_mip.ipynb b/examples/notebook/linear_solver/assignment_teams_mip.ipynb
index 75911a8447..5726a5d5ef 100644
--- a/examples/notebook/linear_solver/assignment_teams_mip.ipynb
+++ b/examples/notebook/linear_solver/assignment_teams_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/basic_example.ipynb b/examples/notebook/linear_solver/basic_example.ipynb
index 5d9f00fd07..536f091e80 100644
--- a/examples/notebook/linear_solver/basic_example.ipynb
+++ b/examples/notebook/linear_solver/basic_example.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/bin_packing_mb.ipynb b/examples/notebook/linear_solver/bin_packing_mb.ipynb
index 1f28e0fa63..e848fa7fe9 100644
--- a/examples/notebook/linear_solver/bin_packing_mb.ipynb
+++ b/examples/notebook/linear_solver/bin_packing_mb.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/bin_packing_mip.ipynb b/examples/notebook/linear_solver/bin_packing_mip.ipynb
index 1b43da8711..58fc818c3d 100644
--- a/examples/notebook/linear_solver/bin_packing_mip.ipynb
+++ b/examples/notebook/linear_solver/bin_packing_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/clone_model_mb.ipynb b/examples/notebook/linear_solver/clone_model_mb.ipynb
index 17478cf4ab..350ecc4c4b 100644
--- a/examples/notebook/linear_solver/clone_model_mb.ipynb
+++ b/examples/notebook/linear_solver/clone_model_mb.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/integer_programming_example.ipynb b/examples/notebook/linear_solver/integer_programming_example.ipynb
index 8db2b7c336..7dd5b31fdb 100644
--- a/examples/notebook/linear_solver/integer_programming_example.ipynb
+++ b/examples/notebook/linear_solver/integer_programming_example.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/linear_programming_example.ipynb b/examples/notebook/linear_solver/linear_programming_example.ipynb
index 00cb97c3b8..7ee26107cd 100644
--- a/examples/notebook/linear_solver/linear_programming_example.ipynb
+++ b/examples/notebook/linear_solver/linear_programming_example.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/mip_var_array.ipynb b/examples/notebook/linear_solver/mip_var_array.ipynb
index 4f1d743c2d..f0f8664fdd 100644
--- a/examples/notebook/linear_solver/mip_var_array.ipynb
+++ b/examples/notebook/linear_solver/mip_var_array.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/multiple_knapsack_mip.ipynb b/examples/notebook/linear_solver/multiple_knapsack_mip.ipynb
index e5fc31b7d7..8e8125b9af 100644
--- a/examples/notebook/linear_solver/multiple_knapsack_mip.ipynb
+++ b/examples/notebook/linear_solver/multiple_knapsack_mip.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/simple_lp_program.ipynb b/examples/notebook/linear_solver/simple_lp_program.ipynb
index 3094e7382e..4775ecdfbd 100644
--- a/examples/notebook/linear_solver/simple_lp_program.ipynb
+++ b/examples/notebook/linear_solver/simple_lp_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/simple_lp_program_mb.ipynb b/examples/notebook/linear_solver/simple_lp_program_mb.ipynb
index 2d434121d8..bee79cf01f 100644
--- a/examples/notebook/linear_solver/simple_lp_program_mb.ipynb
+++ b/examples/notebook/linear_solver/simple_lp_program_mb.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/simple_mip_program.ipynb b/examples/notebook/linear_solver/simple_mip_program.ipynb
index f72fc00803..b3c6b8ad24 100644
--- a/examples/notebook/linear_solver/simple_mip_program.ipynb
+++ b/examples/notebook/linear_solver/simple_mip_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/simple_mip_program_mb.ipynb b/examples/notebook/linear_solver/simple_mip_program_mb.ipynb
index ef4151b636..9fb3f76d99 100644
--- a/examples/notebook/linear_solver/simple_mip_program_mb.ipynb
+++ b/examples/notebook/linear_solver/simple_mip_program_mb.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/linear_solver/stigler_diet.ipynb b/examples/notebook/linear_solver/stigler_diet.ipynb
index 7acaf3b707..d57c2dafa5 100644
--- a/examples/notebook/linear_solver/stigler_diet.ipynb
+++ b/examples/notebook/linear_solver/stigler_diet.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/pdlp/simple_pdlp_program.ipynb b/examples/notebook/pdlp/simple_pdlp_program.ipynb
index 7a0464fed0..4cb305fd49 100644
--- a/examples/notebook/pdlp/simple_pdlp_program.ipynb
+++ b/examples/notebook/pdlp/simple_pdlp_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/all_different_except_zero_sample_sat.ipynb b/examples/notebook/sat/all_different_except_zero_sample_sat.ipynb
index c4a826ec56..deb2a3f1bb 100644
--- a/examples/notebook/sat/all_different_except_zero_sample_sat.ipynb
+++ b/examples/notebook/sat/all_different_except_zero_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/assignment_groups_sat.ipynb b/examples/notebook/sat/assignment_groups_sat.ipynb
index 69798db58a..5bebc34dcf 100644
--- a/examples/notebook/sat/assignment_groups_sat.ipynb
+++ b/examples/notebook/sat/assignment_groups_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/assignment_sat.ipynb b/examples/notebook/sat/assignment_sat.ipynb
index 4bff58240b..012e9219af 100644
--- a/examples/notebook/sat/assignment_sat.ipynb
+++ b/examples/notebook/sat/assignment_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/assignment_task_sizes_sat.ipynb b/examples/notebook/sat/assignment_task_sizes_sat.ipynb
index e7a0ff6d7a..aa2c528af5 100644
--- a/examples/notebook/sat/assignment_task_sizes_sat.ipynb
+++ b/examples/notebook/sat/assignment_task_sizes_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/assignment_teams_sat.ipynb b/examples/notebook/sat/assignment_teams_sat.ipynb
index 63bf3749f1..5e50e35875 100644
--- a/examples/notebook/sat/assignment_teams_sat.ipynb
+++ b/examples/notebook/sat/assignment_teams_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/assumptions_sample_sat.ipynb b/examples/notebook/sat/assumptions_sample_sat.ipynb
index 218b9e1c6c..b76394e579 100644
--- a/examples/notebook/sat/assumptions_sample_sat.ipynb
+++ b/examples/notebook/sat/assumptions_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/bin_packing_sat.ipynb b/examples/notebook/sat/bin_packing_sat.ipynb
index 36edf83669..638ea767a9 100644
--- a/examples/notebook/sat/bin_packing_sat.ipynb
+++ b/examples/notebook/sat/bin_packing_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/binpacking_problem_sat.ipynb b/examples/notebook/sat/binpacking_problem_sat.ipynb
index 7bf8dd8ead..81a5b31467 100644
--- a/examples/notebook/sat/binpacking_problem_sat.ipynb
+++ b/examples/notebook/sat/binpacking_problem_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/bool_and_int_var_product_sample_sat.ipynb b/examples/notebook/sat/bool_and_int_var_product_sample_sat.ipynb
index 48490ea2ba..741e862cde 100644
--- a/examples/notebook/sat/bool_and_int_var_product_sample_sat.ipynb
+++ b/examples/notebook/sat/bool_and_int_var_product_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/bool_or_sample_sat.ipynb b/examples/notebook/sat/bool_or_sample_sat.ipynb
index 49091ac08b..004c570642 100644
--- a/examples/notebook/sat/bool_or_sample_sat.ipynb
+++ b/examples/notebook/sat/bool_or_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/boolean_product_sample_sat.ipynb b/examples/notebook/sat/boolean_product_sample_sat.ipynb
index ba6b49ef5a..206189e2dc 100644
--- a/examples/notebook/sat/boolean_product_sample_sat.ipynb
+++ b/examples/notebook/sat/boolean_product_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/channeling_sample_sat.ipynb b/examples/notebook/sat/channeling_sample_sat.ipynb
index ffc1bdafbd..87c91888ff 100644
--- a/examples/notebook/sat/channeling_sample_sat.ipynb
+++ b/examples/notebook/sat/channeling_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/clone_model_sample_sat.ipynb b/examples/notebook/sat/clone_model_sample_sat.ipynb
index 7eeb63ca17..0f07c81c5c 100644
--- a/examples/notebook/sat/clone_model_sample_sat.ipynb
+++ b/examples/notebook/sat/clone_model_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/cp_is_fun_sat.ipynb b/examples/notebook/sat/cp_is_fun_sat.ipynb
index 511f7678ee..d8c3facd9a 100644
--- a/examples/notebook/sat/cp_is_fun_sat.ipynb
+++ b/examples/notebook/sat/cp_is_fun_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/cp_sat_example.ipynb b/examples/notebook/sat/cp_sat_example.ipynb
index 5becf97322..130032976b 100644
--- a/examples/notebook/sat/cp_sat_example.ipynb
+++ b/examples/notebook/sat/cp_sat_example.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/cumulative_variable_profile_sample_sat.ipynb b/examples/notebook/sat/cumulative_variable_profile_sample_sat.ipynb
index c53482cf68..236fdd83b4 100644
--- a/examples/notebook/sat/cumulative_variable_profile_sample_sat.ipynb
+++ b/examples/notebook/sat/cumulative_variable_profile_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/earliness_tardiness_cost_sample_sat.ipynb b/examples/notebook/sat/earliness_tardiness_cost_sample_sat.ipynb
index 1310572d55..3f2d6595c2 100644
--- a/examples/notebook/sat/earliness_tardiness_cost_sample_sat.ipynb
+++ b/examples/notebook/sat/earliness_tardiness_cost_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/index_first_boolvar_true_sample_sat.ipynb b/examples/notebook/sat/index_first_boolvar_true_sample_sat.ipynb
index 39b1147d61..4c6e816d8c 100644
--- a/examples/notebook/sat/index_first_boolvar_true_sample_sat.ipynb
+++ b/examples/notebook/sat/index_first_boolvar_true_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/interval_relations_sample_sat.ipynb b/examples/notebook/sat/interval_relations_sample_sat.ipynb
index 876fce6f48..397249ba5e 100644
--- a/examples/notebook/sat/interval_relations_sample_sat.ipynb
+++ b/examples/notebook/sat/interval_relations_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/interval_sample_sat.ipynb b/examples/notebook/sat/interval_sample_sat.ipynb
index 3e44a96691..493c78ace5 100644
--- a/examples/notebook/sat/interval_sample_sat.ipynb
+++ b/examples/notebook/sat/interval_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/literal_sample_sat.ipynb b/examples/notebook/sat/literal_sample_sat.ipynb
index 0c91794ccb..be8ff9ab74 100644
--- a/examples/notebook/sat/literal_sample_sat.ipynb
+++ b/examples/notebook/sat/literal_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/minimal_jobshop_sat.ipynb b/examples/notebook/sat/minimal_jobshop_sat.ipynb
index dcf4f17a6c..1fc4886873 100644
--- a/examples/notebook/sat/minimal_jobshop_sat.ipynb
+++ b/examples/notebook/sat/minimal_jobshop_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/multiple_knapsack_sat.ipynb b/examples/notebook/sat/multiple_knapsack_sat.ipynb
index 91ed388c2e..95eec40688 100644
--- a/examples/notebook/sat/multiple_knapsack_sat.ipynb
+++ b/examples/notebook/sat/multiple_knapsack_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/no_overlap_sample_sat.ipynb b/examples/notebook/sat/no_overlap_sample_sat.ipynb
index f835517bab..2cdb3ec36c 100644
--- a/examples/notebook/sat/no_overlap_sample_sat.ipynb
+++ b/examples/notebook/sat/no_overlap_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/non_linear_sat.ipynb b/examples/notebook/sat/non_linear_sat.ipynb
index bcfb65d347..6a612e344b 100644
--- a/examples/notebook/sat/non_linear_sat.ipynb
+++ b/examples/notebook/sat/non_linear_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/nqueens_sat.ipynb b/examples/notebook/sat/nqueens_sat.ipynb
index 4b25066bc2..019fb94777 100644
--- a/examples/notebook/sat/nqueens_sat.ipynb
+++ b/examples/notebook/sat/nqueens_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/nurses_sat.ipynb b/examples/notebook/sat/nurses_sat.ipynb
index 705fa28cc6..02cf4d5aa2 100644
--- a/examples/notebook/sat/nurses_sat.ipynb
+++ b/examples/notebook/sat/nurses_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/optional_interval_sample_sat.ipynb b/examples/notebook/sat/optional_interval_sample_sat.ipynb
index 65d1e6a1d8..f356012ecf 100644
--- a/examples/notebook/sat/optional_interval_sample_sat.ipynb
+++ b/examples/notebook/sat/optional_interval_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/overlapping_intervals_sample_sat.ipynb b/examples/notebook/sat/overlapping_intervals_sample_sat.ipynb
index 4ce140f031..0eab065320 100644
--- a/examples/notebook/sat/overlapping_intervals_sample_sat.ipynb
+++ b/examples/notebook/sat/overlapping_intervals_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/rabbits_and_pheasants_sat.ipynb b/examples/notebook/sat/rabbits_and_pheasants_sat.ipynb
index 0270831e70..63dc2a60b8 100644
--- a/examples/notebook/sat/rabbits_and_pheasants_sat.ipynb
+++ b/examples/notebook/sat/rabbits_and_pheasants_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/ranking_circuit_sample_sat.ipynb b/examples/notebook/sat/ranking_circuit_sample_sat.ipynb
index 5aa71c8688..fb87e45064 100644
--- a/examples/notebook/sat/ranking_circuit_sample_sat.ipynb
+++ b/examples/notebook/sat/ranking_circuit_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/ranking_sample_sat.ipynb b/examples/notebook/sat/ranking_sample_sat.ipynb
index 0f3be41613..8dc5a41d81 100644
--- a/examples/notebook/sat/ranking_sample_sat.ipynb
+++ b/examples/notebook/sat/ranking_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/reified_sample_sat.ipynb b/examples/notebook/sat/reified_sample_sat.ipynb
index 99fa6e00e6..0ad5d78137 100644
--- a/examples/notebook/sat/reified_sample_sat.ipynb
+++ b/examples/notebook/sat/reified_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/schedule_requests_sat.ipynb b/examples/notebook/sat/schedule_requests_sat.ipynb
index b59b80f9ac..42333d160a 100644
--- a/examples/notebook/sat/schedule_requests_sat.ipynb
+++ b/examples/notebook/sat/schedule_requests_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/scheduling_with_calendar_sample_sat.ipynb b/examples/notebook/sat/scheduling_with_calendar_sample_sat.ipynb
index 9d8d97094c..0ddd27e1e6 100644
--- a/examples/notebook/sat/scheduling_with_calendar_sample_sat.ipynb
+++ b/examples/notebook/sat/scheduling_with_calendar_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/search_for_all_solutions_sample_sat.ipynb b/examples/notebook/sat/search_for_all_solutions_sample_sat.ipynb
index 4d176acba6..90bb0d27f6 100644
--- a/examples/notebook/sat/search_for_all_solutions_sample_sat.ipynb
+++ b/examples/notebook/sat/search_for_all_solutions_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/simple_sat_program.ipynb b/examples/notebook/sat/simple_sat_program.ipynb
index 5af365a37c..fcb5827ea9 100644
--- a/examples/notebook/sat/simple_sat_program.ipynb
+++ b/examples/notebook/sat/simple_sat_program.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/solution_hinting_sample_sat.ipynb b/examples/notebook/sat/solution_hinting_sample_sat.ipynb
index 543e327c8d..a3a5ff8b04 100644
--- a/examples/notebook/sat/solution_hinting_sample_sat.ipynb
+++ b/examples/notebook/sat/solution_hinting_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/solve_and_print_intermediate_solutions_sample_sat.ipynb b/examples/notebook/sat/solve_and_print_intermediate_solutions_sample_sat.ipynb
index 0723487a2b..f3b5e59e2e 100644
--- a/examples/notebook/sat/solve_and_print_intermediate_solutions_sample_sat.ipynb
+++ b/examples/notebook/sat/solve_and_print_intermediate_solutions_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/solve_with_time_limit_sample_sat.ipynb b/examples/notebook/sat/solve_with_time_limit_sample_sat.ipynb
index 2893bc443a..1bd9182de2 100644
--- a/examples/notebook/sat/solve_with_time_limit_sample_sat.ipynb
+++ b/examples/notebook/sat/solve_with_time_limit_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/step_function_sample_sat.ipynb b/examples/notebook/sat/step_function_sample_sat.ipynb
index 7dde80e322..d0acd538ee 100644
--- a/examples/notebook/sat/step_function_sample_sat.ipynb
+++ b/examples/notebook/sat/step_function_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/stop_after_n_solutions_sample_sat.ipynb b/examples/notebook/sat/stop_after_n_solutions_sample_sat.ipynb
index 0fd972bc50..091b49d23f 100644
--- a/examples/notebook/sat/stop_after_n_solutions_sample_sat.ipynb
+++ b/examples/notebook/sat/stop_after_n_solutions_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
diff --git a/examples/notebook/sat/transitions_in_no_overlap_sample_sat.ipynb b/examples/notebook/sat/transitions_in_no_overlap_sample_sat.ipynb
index 1b618f02fc..77b4f68c4c 100644
--- a/examples/notebook/sat/transitions_in_no_overlap_sample_sat.ipynb
+++ b/examples/notebook/sat/transitions_in_no_overlap_sample_sat.ipynb
@@ -5,7 +5,7 @@
"id": "google",
"metadata": {},
"source": [
- "##### Copyright 2023 Google LLC."
+ "##### Copyright 2024 Google LLC."
]
},
{
![](\"https://raw.githubusercontent.com/google/or-tools/main/tools/colab_32px.png\"/)
Run in Google Colab\n",
+ "![](\"https://raw.githubusercontent.com/google/or-tools/main/tools/github_32px.png\"/)
View source on GitHub\n",
+ "