examples: regenerate notebook

Author: Mizux

examples/notebook/algorithms/knapsack.ipynb

@@ -86,6 +86,7 @@
     "from ortools.algorithms.python import knapsack_solver\n",
     "\n",
     "\n",
+    "\n",
     "def main():\n",
     "    # Create the solver.\n",
     "    solver = knapsack_solver.KnapsackSolver(\n",

examples/notebook/algorithms/simple_knapsack_program.ipynb

@@ -86,6 +86,7 @@
     "from ortools.algorithms.python import knapsack_solver\n",
     "\n",
     "\n",
+    "\n",
     "def main():\n",
     "    # Create the solver.\n",
     "    solver = knapsack_solver.KnapsackSolver(\n",

examples/notebook/contrib/permutation_flow_shop.ipynb

@@ -95,7 +95,6 @@
     "import numpy as np\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",
@@ -217,7 +216,7 @@
     "\n",
     "    solver = cp_model.CpSolver()\n",
     "    if params:\n",
-    "        text_format.Parse(params, solver.parameters)\n",
+    "        solver.parameters.parse_text_format(params)\n",
     "    solver.parameters.log_search_progress = log\n",
     "    solver.parameters.max_time_in_seconds = time_limit\n",
     "\n",

examples/notebook/contrib/scheduling_with_transitions_sat.ipynb

@@ -90,7 +90,6 @@
     "import collections\n",
     "\n",
     "from ortools.sat.python import cp_model\n",
-    "from google.protobuf import text_format\n",
     "\n",
     "#----------------------------------------------------------------------------\n",
     "# Command line arguments.\n",
@@ -376,7 +375,7 @@
     "  solver = cp_model.CpSolver()\n",
     "  solver.parameters.max_time_in_seconds = 60 * 60 * 2\n",
     "  if parameters:\n",
-    "    text_format.Merge(parameters, solver.parameters)\n",
+    "    solver.parameters.merge_text_format(parameters)\n",
     "  solution_printer = SolutionPrinter(makespan)\n",
     "  status = solver.Solve(model, solution_printer)\n",
     "\n",

examples/notebook/examples/appointments.ipynb

@@ -244,7 +244,7 @@
     "\n",
     "\n",
     "def get_optimal_schedule(\n",
-    "    demand: list[tuple[float, str, int]]\n",
+    "    demand: list[tuple[float, str, int]],\n",
     ") -> list[tuple[int, list[tuple[int, str]]]]:\n",
     "    \"\"\"Computes the optimal schedule for the installation input.\n",
     "\n",

examples/notebook/examples/arc_flow_cutting_stock_sat.ipynb

@@ -89,7 +89,6 @@
     "from ortools.sat.colab import flags\n",
     "import numpy as np\n",
     "\n",
-    "from google.protobuf import text_format\n",
     "from ortools.linear_solver.python import model_builder as mb\n",
     "from ortools.sat.python import cp_model\n",
     "\n",
@@ -387,7 +386,7 @@
     "    # Solve model.\n",
     "    solver = cp_model.CpSolver()\n",
     "    if params:\n",
-    "        text_format.Parse(params, solver.parameters)\n",
+    "        solver.parameters.parse_text_format(params)\n",
     "    solver.parameters.log_search_progress = True\n",
     "    solver.Solve(model)\n",
     "\n",

examples/notebook/examples/balance_group_sat.ipynb

@@ -78,7 +78,8 @@
     "Each item has a color and a value. We want the sum of values of each group to\n",
     "be as close to the average as possible.\n",
     "Furthermore, if one color is an a group, at least k items with this color must\n",
-    "be in that group.\n"
+    "be in that group.\n",
+    "\n"
    ]
   },
   {

examples/notebook/examples/bus_driver_scheduling_sat.ipynb

@@ -97,7 +97,6 @@
     "import math\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",
     "_OUTPUT_PROTO = flags.define_string(\n",
@@ -149,7 +148,7 @@
     "    [25, \"15:40\", \"15:56\", 940, 956, 16],\n",
     "    [26, \"15:58\", \"16:45\", 958, 1005, 47],\n",
     "    [27, \"16:04\", \"17:30\", 964, 1050, 86],\n",
-    "]  # yapf:disable\n",
+    "]\n",
     "\n",
     "SAMPLE_SHIFTS_SMALL = [\n",
     "    #\n",
@@ -211,7 +210,7 @@
     "    [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",
     "\n",
     "SAMPLE_SHIFTS_MEDIUM = [\n",
     "    [0, \"04:30\", \"04:53\", 270, 293, 23],\n",
@@ -414,7 +413,7 @@
     "    [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",
     "\n",
     "SAMPLE_SHIFTS_LARGE = [\n",
     "    [0, \"04:18\", \"05:00\", 258, 300, 42],\n",
@@ -1773,7 +1772,7 @@
     "    [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",
     "\n",
     "def bus_driver_scheduling(minimize_drivers: bool, max_num_drivers: int) -> int:\n",
@@ -2049,7 +2048,7 @@
     "    # Solve model.\n",
     "    solver = cp_model.CpSolver()\n",
     "    if _PARAMS.value:\n",
-    "        text_format.Parse(_PARAMS.value, solver.parameters)\n",
+    "        solver.parameters.parse_text_format(_PARAMS.value)\n",
     "\n",
     "    status = solver.solve(model)\n",
     "\n",