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Solved lab #477

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156 changes: 154 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 +43,163 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "aa74bd95",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 1, 'mug': 2, 'hat': 3, 'book': 4, 'keychain': 5}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"\n",
"def initialize_inventory(products):\n",
" for product in products:\n",
" \"\"\" Prompt the user to enter the inventory count for each product and store it in the inventory dictionary.\"\"\"\n",
" inventory[product] = int(input(f\"Enter the inventory count for {product}: \"))\n",
" return inventory\n",
"\n",
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "449e23b5",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set() #to set up an empty set, could also be {}, but it gave me an error\n",
"\n",
" while input(\"Do you want to place an order? (yes/no): \").lower() == \"yes\":\n",
" customer_orders.add(input(\"Enter one order (from `t-shirt`, `mug`, `hat`, `book`, `keychain`): \"))\n",
"\n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "621b5828",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1, 'mug': 0, 'hat': 1, 'book': 4, 'keychain': 5}\n"
]
}
],
"source": [
"def update_inventory(inventory, customer_orders):\n",
" for product in customer_orders:\n",
" if product in inventory and inventory[product] > 0:\n",
" inventory[product] -= 1\n",
" return inventory\n",
"\n",
"update_inventory(inventory, customer_orders)\n",
"#print (inventory)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "e478ce61",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" total_in_house = sum(inventory.values())\n",
" percentage_ordered = (total_products_ordered / total_in_house) * 100\n",
" order_status = (total_products_ordered, percentage_ordered)\n",
" return total_products_ordered, total_in_house, percentage_ordered, order_status\n",
"\n",
"total_products_ordered, total_in_house, percentage_ordered, order_statistics = calculate_order_statistics(customer_orders, products)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "6a2e7a02",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" Order Statistics:\n",
" Total Products Ordered: 2\n",
" Percentage of Products Ordered: 18.181818181818183% \n",
" \n"
]
}
],
"source": [
"def print_order_statistics(order_statistics):\n",
" print(f\"\"\"\n",
" Order Statistics:\n",
" Total Products Ordered: {total_products_ordered}\n",
" Percentage of Products Ordered: {percentage_ordered}% \n",
" \"\"\")\n",
" \n",
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "04b355db",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
" t-shirt: 1\n",
" mug: 0\n",
" hat: 1\n",
" book: 4\n",
" keychain: 5\n",
" \n"
]
}
],
"source": [
"def print_updated_inventory(inventory):\n",
" print(f\"\"\"Updated Inventory:\n",
" t-shirt: {inventory['t-shirt']}\n",
" mug: {inventory['mug']}\n",
" hat: {inventory['hat']}\n",
" book: {inventory['book']}\n",
" keychain: {inventory['keychain']}\n",
" \"\"\")\n",
" \n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +213,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down