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Lab solved #675

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241 changes: 239 additions & 2 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,11 +43,248 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "a2157d27",
"metadata": {},
"outputs": [],
"source": [
"# 1\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" quantity = int(input(\"how many \" + product + \" are there?\"))\n",
" inventory[product] = quantity\n",
" return inventory\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "b93bc9bb",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ec624d05",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 6, 'mug': 5, 'hat': 7, 'book': 6, 'keychain': 4}"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#testing initialize_inventory \n",
"inventory = initialize_inventory(products)\n",
"inventory"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "2e26d15c",
"metadata": {},
"outputs": [],
"source": [
"#2\n",
"def get_customer_orders():\n",
" customer_order = set()\n",
" question = input(\"Would you like to purchase an item (Y/N)?\")\n",
" while question.upper() == 'Y':\n",
" item = input(\"Which item would you like to order? (t-shirt, mug, hat, book, keychain) \")\n",
" if item in inventory:\n",
" customer_order.add(item.lower())\n",
" question = input(\"Would you like to purchase another item? \")\n",
" return customer_order"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "6a3d8ae8",
"metadata": {},
"outputs": [],
"source": [
"#testing get_customer_orders and saving it\n",
"customer_order = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e73b0e09",
"metadata": {},
"outputs": [],
"source": [
"# 3\n",
"def update_inventory(customer_order_arg,inventory_arg): \n",
" for item in customer_order_arg:\n",
" inventory_arg[item] = inventory_arg[item] -1\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "07c2fbba",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 6, 'mug': 4, 'hat': 7, 'book': 5, 'keychain': 3}"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#testing update_inventory and updating inventory\n",
"inventory_updated = update_inventory(customer_order, inventory)\n",
"inventory_updated"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc85db6e",
"metadata": {},
"outputs": [],
"source": [
"#4\n",
"def calculate_order_statistics(customer_order_arg, products_arg):\n",
" num_products = len(products_arg)\n",
" num_products_ordered = len(customer_order_arg)\n",
" pct_ordered_products = num_products_ordered / num_products * 100\n",
" return num_products_ordered, pct_ordered_products\n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "2b3d2079",
"metadata": {},
"outputs": [],
"source": [
"order_statistics = calculate_order_statistics(customer_order, products)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca3ecbd8",
"metadata": {},
"outputs": [],
"source": [
"#5\n",
"def print_order_statistics(order_statistics):\n",
" num_products_ordered, pct_ordered_products = order_statistics\n",
" print(f\"The total ordered items are {num_products_ordered} and the percentage of them is {pct_ordered_products}%\")"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "c11c605b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The total ordered items are 3 and the percentage of them is 60.0%\n"
]
}
],
"source": [
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e13b76c5",
"metadata": {},
"outputs": [],
"source": [
"#6\n",
"def print_updated_inventory(updated_inventory):\n",
" print(updated_inventory)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "c185809b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 6, 'mug': 4, 'hat': 7, 'book': 5, 'keychain': 3}\n"
]
}
],
"source": [
"new_inventory = print_updated_inventory(inventory_updated)\n",
"new_inventory"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5a77fc2f",
"metadata": {},
"outputs": [],
"source": [
"#7\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = initialize_inventory(products)\n",
"customer_order = get_customer_orders()\n",
"inventory = update_inventory(inventory, customer_order)\n",
"order_statistics = calculate_order_statistics(customer_order, products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "99379a13",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "64660e8f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +298,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.7"
}
},
"nbformat": 4,
Expand Down