Solved lab

lab-python-functions.ipynb

@@ -43,11 +43,186 @@
     "\n",
     "\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3ca8b829",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 1. Initialize the inventory\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"How many {product}s are available? \"))\n",
+    "        inventory[product] = quantity\n",
+    "\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "eb99f071",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2. Collect customer orders\n",
+    "def get_customer_orders():\n",
+    "    customer_orders = set()\n",
+    "\n",
+    "    while True:\n",
+    "        product = input(\n",
+    "            \"Enter a product to order \"\n",
+    "            \"(t-shirt, mug, hat, book, keychain): \"\n",
+    "        ).lower()\n",
+    "\n",
+    "        if product in products:\n",
+    "            customer_orders.add(product)\n",
+    "            print(f\"{product} added to the order.\")\n",
+    "        else:\n",
+    "            print(\"This product is not available.\")\n",
+    "\n",
+    "        another_product = input(\n",
+    "            \"Do you want to add another product? (yes/no): \"\n",
+    "        ).lower()\n",
+    "\n",
+    "        if another_product == \"no\":\n",
+    "            break\n",
+    "\n",
+    "    return customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "733b0f38",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3. Update the inventory\n",
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product in customer_orders:\n",
+    "        inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "cfb7356b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4. Calculate order statistics\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = len(customer_orders)\n",
+    "\n",
+    "    percentage_ordered = (\n",
+    "        total_products_ordered / len(products)\n",
+    "    ) * 100\n",
+    "\n",
+    "    return total_products_ordered, percentage_ordered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8a4f124c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 5. Print order statistics\n",
+    "def print_order_statistics(order_statistics):\n",
+    "    total_products_ordered, percentage_ordered = order_statistics\n",
+    "\n",
+    "    print(\"\\nOrder Statistics:\")\n",
+    "    print(f\"Total Products Ordered: {total_products_ordered}\")\n",
+    "    print(f\"Percentage of Products Ordered: {percentage_ordered}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "a7520432",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 6. Print updated inventory\n",
+    "def print_updated_inventory(inventory):\n",
+    "    print(\"\\nUpdated Inventory:\")\n",
+    "\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "2f34bde9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "mug added to the order.\n",
+      "hat added to the order.\n",
+      "book added to the order.\n",
+      "keychain added to the order.\n",
+      "\n",
+      "Products in customer order:\n",
+      "{'book', 'keychain', 'mug', 'hat'}\n",
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 4\n",
+      "Percentage of Products Ordered: 80.0%\n",
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt: 20\n",
+      "mug: 9\n",
+      "hat: 9\n",
+      "book: 49\n",
+      "keychain: 99\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 7. Main program\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory = initialize_inventory(products)\n",
+    "\n",
+    "customer_orders = get_customer_orders()\n",
+    "\n",
+    "print(\"\\nProducts in customer order:\")\n",
+    "print(customer_orders)\n",
+    "\n",
+    "order_statistics = calculate_order_statistics(\n",
+    "    customer_orders,\n",
+    "    products\n",
+    ")\n",
+    "\n",
+    "print_order_statistics(order_statistics)\n",
+    "\n",
+    "update_inventory(customer_orders, inventory)\n",
+    "\n",
+    "print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13e92be9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +236,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,