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195 changes: 194 additions & 1 deletion lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,199 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6e13d0ab-f82f-4800-bec3-5e772e063818",
"metadata": {},
"outputs": [],
"source": [
"# 1.\n",
"def initialize_inventory(products:List[str]) -> dict:\n",
" inventory = {}\n",
"\n",
" for product in products:\n",
" inventory[product] = int(input(\"Enter quantity: \"))\n",
"\n",
" return inventory\n",
"\n",
"#products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"#inventory = initialize_inventory(products)\n",
"#inventory"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "f8992e7e-7cf8-4342-b921-b2ef1c20dd0c",
"metadata": {},
"outputs": [],
"source": [
"# 2.\n",
"def get_customer_orders() -> set:\n",
" customer_orders = set()\n",
" while True:\n",
" order = input(f\"Enter your order: \")\n",
" while order not in products:\n",
" print(\"Product not found. Try again.\")\n",
" order = input(f\"Enter your order: \")\n",
" customer_orders.add(order)\n",
" add_another = input(\"Do you want to add another product (yes/no)?\").lower()\n",
" if add_another == \"no\":\n",
" break\n",
" return customer_orders\n",
"\n",
"#customer_orders = get_customer_orders()\n",
"#customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "c58dabad-a3b9-4e1b-b296-325a3abcdcf6",
"metadata": {},
"outputs": [],
"source": [
"# 3.\n",
"def update_inventory(customer_orders: set, inventory: dict) -> dict:\n",
" for product in customer_orders:\n",
" inventory[product] -= 1\n",
" return inventory\n",
"\n",
"#inventory = update_inventory(customer_orders, inventory)\n",
"#inventory"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "f9850f47-e6f4-438c-8cfe-8002367cf94e",
"metadata": {},
"outputs": [],
"source": [
"# 4. \n",
"def calculate_order_statistics(customer_orders: set, products: list) -> tuple:\n",
" total_products_ordered = len(customer_orders)\n",
" percentage = (total_products_ordered / len(products)) * 100\n",
" order_statistics = (total_products_ordered, percentage) \n",
" return order_statistics\n",
"\n",
"#order_statistics = calculate_order_statistics(customer_orders, products)\n",
"#order_statistics"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "d4274a1d-c4b0-4c2d-bb02-49287b620017",
"metadata": {},
"outputs": [],
"source": [
"# 5.\n",
"def print_order_statistics(order_statistics: tuple):\n",
" print(\"Order Statistics:\")\n",
" print(f\"Total Products Ordered: \", order_statistics[0])\n",
" print(f\"Percentage of Products Ordered: {order_statistics[1]}%\") \n",
"\n",
"#print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "21a84c90-f606-41e2-8350-1f4896901a01",
"metadata": {},
"outputs": [],
"source": [
"# 6.\n",
"def print_updated_inventory(inventory: dict):\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")\n",
"\n",
"#print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "5635c9f6-d216-474a-a387-72e223165533",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity: 9\n",
"Enter quantity: 8\n",
"Enter quantity: 6\n",
"Enter quantity: 9\n",
"Enter quantity: 0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 9, 'mug': 8, 'hat': 6, 'book': 9, 'keychain': 0}\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter your order: book\n",
"Do you want to add another product (yes/no)? yes\n",
"Enter your order: mug\n",
"Do you want to add another product (yes/no)? yes\n",
"Enter your order: book\n",
"Do you want to add another product (yes/no)? no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'book', 'mug'}\n",
"{'t-shirt': 9, 'mug': 7, 'hat': 6, 'book': 8, 'keychain': 0}\n",
"(2, 40.0)\n",
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: 40.0%\n",
"t-shirt: 9\n",
"mug: 7\n",
"hat: 6\n",
"book: 8\n",
"keychain: 0\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"print(inventory)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"print(customer_orders)\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"print(inventory)\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"print(order_statistics)\n",
"\n",
"print_order_statistics(order_statistics)\n",
"\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "57087b54-db66-4015-9992-820bbd6164ff",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +254,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.0"
}
},
"nbformat": 4,
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