Update notebooks

examples/notebook/algorithms/knapsack.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -82,7 +82,6 @@
     "\"\"\"A simple knapsack problem.\"\"\"\n",
     "# [START program]\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.algorithms import pywrapknapsack_solver\n",
     "# [END import]\n",
     "\n",

examples/notebook/algorithms/simple_knapsack_program.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -82,7 +82,6 @@
     "# [START program]\n",
     "\"\"\"A simple knapsack problem.\"\"\"\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.algorithms import pywrapknapsack_solver\n",
     "# [END import]\n",
     "\n",

examples/notebook/constraint_solver/cvrp.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -92,10 +92,8 @@
     "   Distances are in meters.\n",
     "\"\"\"\n",
     "\n",
-    "from __future__ import print_function\n",
     "\n",
     "from functools import partial\n",
-    "from six.moves import xrange\n",
     "\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
@@ -153,9 +151,9 @@
     "    \"\"\"Creates callback to return distance between points.\"\"\"\n",
     "    _distances = {}\n",
     "    # precompute distance between location to have distance callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _distances[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _distances[from_node][to_node] = 0\n",
     "            else:\n",
@@ -201,7 +199,7 @@
     "    total_distance = 0\n",
     "    total_load = 0\n",
     "    capacity_dimension = routing.GetDimensionOrDie('Capacity')\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        plan_output = 'Route for vehicle {}:\\n'.format(vehicle_id)\n",
     "        distance = 0\n",

examples/notebook/constraint_solver/cvrp_reload.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -92,10 +92,8 @@
     "   Distances are in meters.\n",
     "\"\"\"\n",
     "\n",
-    "from __future__ import print_function\n",
     "\n",
     "from functools import partial\n",
-    "from six.moves import xrange\n",
     "\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
@@ -191,9 +189,9 @@
     "    \"\"\"Creates callback to return distance between points.\"\"\"\n",
     "    _distances = {}\n",
     "    # precompute distance between location to have distance callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _distances[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _distances[from_node][to_node] = 0\n",
     "            else:\n",
@@ -273,9 +271,9 @@
     "\n",
     "    _total_time = {}\n",
     "    # precompute total time to have time callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _total_time[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _total_time[from_node][to_node] = 0\n",
     "            else:\n",
@@ -312,7 +310,7 @@
     "        routing.AddToAssignment(time_dimension.SlackVar(index))\n",
     "    # Add time window constraints for each vehicle start node\n",
     "    # and 'copy' the slack var in the solution object (aka Assignment) to print it\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        time_dimension.CumulVar(index).SetRange(data['time_windows'][0][0],\n",
     "                                                data['time_windows'][0][1])\n",
@@ -333,13 +331,13 @@
     "    capacity_dimension = routing.GetDimensionOrDie('Capacity')\n",
     "    time_dimension = routing.GetDimensionOrDie('Time')\n",
     "    dropped = []\n",
-    "    for order in xrange(0, routing.nodes()):\n",
+    "    for order in range(0, routing.nodes()):\n",
     "        index = manager.NodeToIndex(order)\n",
     "        if assignment.Value(routing.NextVar(index)) == index:\n",
     "            dropped.append(order)\n",
     "    print('dropped orders: {}'.format(dropped))\n",
     "\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        plan_output = 'Route for vehicle {}:\\n'.format(vehicle_id)\n",
     "        distance = 0\n",

examples/notebook/constraint_solver/cvrptw.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -92,10 +92,8 @@
     "   Distances are in meters and time in minutes.\n",
     "\"\"\"\n",
     "\n",
-    "from __future__ import print_function\n",
     "\n",
     "from functools import partial\n",
-    "from six.moves import xrange\n",
     "\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
@@ -165,9 +163,9 @@
     "    \"\"\"Creates callback to return distance between points.\"\"\"\n",
     "    _distances = {}\n",
     "    # precompute distance between location to have distance callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _distances[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _distances[from_node][to_node] = 0\n",
     "            else:\n",
@@ -222,9 +220,9 @@
     "\n",
     "    _total_time = {}\n",
     "    # precompute total time to have time callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _total_time[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _total_time[from_node][to_node] = 0\n",
     "            else:\n",
@@ -261,7 +259,7 @@
     "        routing.AddToAssignment(time_dimension.SlackVar(index))\n",
     "    # Add time window constraints for each vehicle start node\n",
     "    # and 'copy' the slack var in the solution object (aka Assignment) to print it\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        time_dimension.CumulVar(index).SetRange(data['time_windows'][0][0],\n",
     "                                                data['time_windows'][0][1])\n",
@@ -281,7 +279,7 @@
     "    total_time = 0\n",
     "    capacity_dimension = routing.GetDimensionOrDie('Capacity')\n",
     "    time_dimension = routing.GetDimensionOrDie('Time')\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        plan_output = 'Route for vehicle {}:\\n'.format(vehicle_id)\n",
     "        distance = 0\n",

examples/notebook/constraint_solver/cvrptw_break.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -92,10 +92,8 @@
     "   Distances are in meters and time in minutes.\n",
     "\"\"\"\n",
     "\n",
-    "from __future__ import print_function\n",
     "\n",
     "from functools import partial\n",
-    "from six.moves import xrange\n",
     "\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
@@ -166,9 +164,9 @@
     "    \"\"\"Creates callback to return distance between points.\"\"\"\n",
     "    _distances = {}\n",
     "    # precompute distance between location to have distance callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _distances[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _distances[from_node][to_node] = 0\n",
     "            else:\n",
@@ -223,9 +221,9 @@
     "\n",
     "    _total_time = {}\n",
     "    # precompute total time to have time callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _total_time[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _total_time[from_node][to_node] = 0\n",
     "            else:\n",
@@ -262,7 +260,7 @@
     "        routing.AddToAssignment(time_dimension.SlackVar(index))\n",
     "    # Add time window constraints for each vehicle start node\n",
     "    # and 'copy' the slack var in the solution object (aka Assignment) to print it\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        time_dimension.CumulVar(index).SetRange(data['time_windows'][0][0],\n",
     "                                                data['time_windows'][0][1])\n",
@@ -280,7 +278,7 @@
     "\n",
     "    print('Breaks:')\n",
     "    intervals = assignment.IntervalVarContainer()\n",
-    "    for i in xrange(intervals.Size()):\n",
+    "    for i in range(intervals.Size()):\n",
     "        brk = intervals.Element(i)\n",
     "        if brk.PerformedValue() == 1:\n",
     "            print('{}: Start({}) Duration({})'.format(\n",
@@ -295,7 +293,7 @@
     "    total_time = 0\n",
     "    capacity_dimension = routing.GetDimensionOrDie('Capacity')\n",
     "    time_dimension = routing.GetDimensionOrDie('Time')\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        plan_output = 'Route for vehicle {}:\\n'.format(vehicle_id)\n",
     "        distance = 0\n",
@@ -366,7 +364,7 @@
     "# Add breaks\n",
     "time_dimension = routing.GetDimensionOrDie(\"Time\")\n",
     "node_visit_transit = {}\n",
-    "for n in xrange(routing.Size()):\n",
+    "for n in range(routing.Size()):\n",
     "    if n >= data['num_locations']:\n",
     "        node_visit_transit[n] = 0\n",
     "    else:\n",
@@ -374,7 +372,7 @@
     "            data['demands'][n] * data['time_per_demand_unit'])\n",
     "\n",
     "break_intervals = {}\n",
-    "#for v in xrange(data['num_vehicles']):\n",
+    "#for v in range(data['num_vehicles']):\n",
     "for v in [0]:\n",
     "    vehicle_break = data['breaks'][v]\n",
     "    break_intervals[v] = [\n",

examples/notebook/constraint_solver/simple_cp_program.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Constraint optimization example.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",
     "\n",

examples/notebook/constraint_solver/simple_routing_program.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicle Routing example.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/tsp.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -87,7 +87,6 @@
     "\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/tsp_circuit_board.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple travelling salesman problem on a circuit board.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "import math\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",

examples/notebook/constraint_solver/tsp_cities.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple travelling salesman problem between cities.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "\n",

examples/notebook/constraint_solver/tsp_distance_matrix.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Travelling Salesman Problem.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Vehicles Routing Problem.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_capacity.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Capacited Vehicles Routing Problem (CVRP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_drop_nodes.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Capacited Vehicles Routing Problem (CVRP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_global_span.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicles Routing Problem (VRP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_initial_routes.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicles Routing Problem (VRP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_pickup_delivery.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Pickup Delivery Problem (PDP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_pickup_delivery_fifo.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Pickup Delivery Problem (PDP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_pickup_delivery_lifo.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Pickup Delivery Problem (PDP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_resources.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicles Routing Problem (VRP) with Resource Constraints.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_starts_ends.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Simple Vehicles Routing Problem.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_time_windows.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicles Routing Problem (VRP) with Time Windows.\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrp_with_time_limit.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -83,7 +83,6 @@
     "\"\"\"Vehicles Routing Problem (VRP).\"\"\"\n",
     "\n",
     "# [START import]\n",
-    "from __future__ import print_function\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "# [END import]\n",

examples/notebook/constraint_solver/vrpgs.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {
@@ -92,10 +92,8 @@
     "   Distances are in meters.\n",
     "\"\"\"\n",
     "\n",
-    "from __future__ import print_function\n",
     "\n",
     "from functools import partial\n",
-    "from six.moves import xrange\n",
     "\n",
     "from ortools.constraint_solver import pywrapcp\n",
     "from ortools.constraint_solver import routing_enums_pb2\n",
@@ -142,9 +140,9 @@
     "    \"\"\"Creates callback to return distance between points.\"\"\"\n",
     "    _distances = {}\n",
     "    # precompute distance between location to have distance callback in O(1)\n",
-    "    for from_node in xrange(data['num_locations']):\n",
+    "    for from_node in range(data['num_locations']):\n",
     "        _distances[from_node] = {}\n",
-    "        for to_node in xrange(data['num_locations']):\n",
+    "        for to_node in range(data['num_locations']):\n",
     "            if from_node == to_node:\n",
     "                _distances[from_node][to_node] = 0\n",
     "            else:\n",
@@ -181,7 +179,7 @@
     "    \"\"\"Prints assignment on console\"\"\"\n",
     "    print('Objective: {}'.format(assignment.ObjectiveValue()))\n",
     "    total_distance = 0\n",
-    "    for vehicle_id in xrange(data['num_vehicles']):\n",
+    "    for vehicle_id in range(data['num_vehicles']):\n",
     "        index = routing.Start(vehicle_id)\n",
     "        plan_output = 'Route for vehicle {}:\\n'.format(vehicle_id)\n",
     "        distance = 0\n",

examples/notebook/contrib/3_jugs_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/3_jugs_regular.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/a_round_of_golf.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/all_interval.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/alldifferent_except_0.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/alphametic.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/assignment.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/assignment6_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/bacp.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/blending.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/broken_weights.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/bus_schedule.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/car.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/check_dependencies.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/circuit.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/coins3.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/coins_grid.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/coins_grid_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/coloring_ip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/combinatorial_auction2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/contiguity_regular.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/costas_array.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/covering_opl.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/crew.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/crossword2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/crypta.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/crypto.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/curious_set_of_integers.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/debruijn_binary.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/diet1.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/diet1_b.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/diet1_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/discrete_tomography.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/divisible_by_9_through_1.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/dudeney.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/einav_puzzle.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/einav_puzzle2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/eq10.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/eq20.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/fill_a_pix.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/furniture_moving.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/futoshiki.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/game_theory_taha.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/grocery.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/hidato.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/just_forgotten.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/kakuro.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/kenken2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/killer_sudoku.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/knapsack_cp.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/knapsack_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/labeled_dice.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/langford.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/least_diff.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/least_square.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/lectures.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/magic_sequence_sat.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/magic_square.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/magic_square_and_cards.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/magic_square_mip.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/map.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/marathon2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/max_flow_taha.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/max_flow_winston1.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/minesweeper.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/mr_smith.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nonogram_default_search.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nonogram_regular.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nonogram_table.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nonogram_table2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nontransitive_dice.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nqueens.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nqueens2.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nqueens3.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {

examples/notebook/contrib/nurse_rostering.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "##### Copyright 2020 The OR-Tools Authors."
+    "##### Copyright 2020 Google LLC."
    ]
   },
   {