Skip to content

solved lab function #450

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
232 changes: 229 additions & 3 deletions lab-python-functions.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,239 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "092c0bd8-edce-4f02-a205-23595f0e7559",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named initialize_inventory that takes products as a parameter. \n",
"#Inside the function, implement the code for initializing the inventory dictionary using a loop and user input.\n",
"\n",
"\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter quantity for {product}: \"))\n",
" if quantity < 0:\n",
" print(\"Quantity cannot be negative. Please try again.\")\n",
" continue\n",
" inventory[product] = quantity\n",
" break\n",
" except ValueError:\n",
" print(\"Invalid input. Please enter a number.\")\n",
" return inventory\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f1916f75-6c78-404d-9156-77ce8a445582",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named get_customer_orders that takes no parameters. Inside the function, \n",
"#implement the code for prompting the user to enter the product names using a loop. \n",
"#The function should return the customer_orders set.\n",
"\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" print(\"Enter the product names one by one. Type 'done' to finish.\")\n",
" \n",
" while True:\n",
" product = input(\"Enter product name: \").strip()\n",
" if product.lower() == 'done':\n",
" break\n",
" if product: # Only add non-empty strings\n",
" customer_orders.add(product)\n",
" else:\n",
" print(\"Product name cannot be empty.\")\n",
" \n",
" return customer_orders\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "a3c7661e-dbf7-427f-8c46-5d7acfce49bc",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named update_inventory that takes customer_orders and inventory as parameters. \n",
"#Inside the function, implement the code for updating the inventory dictionary based on the customer orders.\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" if product in inventory:\n",
" if inventory[product] > 0:\n",
" inventory[product] -= 1\n",
" print(f\"{product} ordered. Remaining stock: {inventory[product]}\")\n",
" else:\n",
" print(f\"{product} is out of stock.\")\n",
" else:\n",
" print(f\"{product} is not found in the inventory.\")\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4b68f068-21d6-4f4a-aebd-7d6f7bea60cc",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named calculate_order_statistics that takes customer_orders and products as parameters. \n",
"#Inside the function, implement the code for calculating the order statistics \n",
"#(total products ordered, and percentage of unique products ordered). The function should return these values.\n",
"\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_ordered = len(customer_orders) # Total unique products ordered\n",
" unique_products = len(customer_orders) # Unique products in the order\n",
" total_products = len(products) # Total available products in the catalog\n",
" \n",
" # Calculate the percentage of unique products ordered\n",
" percentage_unique = (unique_products / total_products) * 100 if total_products > 0 else 0\n",
" \n",
" return total_ordered, percentage_unique\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "48ae953f-982e-4e4e-918b-7859c1be340e",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named print_order_statistics that takes order_statistics as a parameter. \n",
"#Inside the function, implement the code for printing the order statistics.\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" total_ordered, percentage_unique = order_statistics\n",
" print(f\"Total products ordered: {total_ordered}\")\n",
" print(f\"Percentage of unique products ordered: {percentage_unique:.2f}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "1301a78d-182b-4c1a-9bcb-1ea22987f06b",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named print_updated_inventory that takes inventory as a parameter. \n",
"#Inside the function, implement the code for printing the updated inventory.\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"Updated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "116bb077-4807-4ea5-a14e-af77ff82156c",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity for Apples: 4\n",
"Enter quantity for Bananas: 4\n",
"Enter quantity for Oranges: 4\n",
"Enter quantity for Grapes: 4\n",
"Enter quantity for Peaches: 4\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter the product names one by one. Type 'done' to finish.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter product name: 4\n",
"Enter product name: apple\n",
"Enter product name: banana\n",
"Enter product name: done\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"apple is not found in the inventory.\n",
"4 is not found in the inventory.\n",
"banana is not found in the inventory.\n",
"Total products ordered: 3\n",
"Percentage of unique products ordered: 60.00%\n",
"Updated Inventory:\n",
"Apples: 4\n",
"Bananas: 4\n",
"Oranges: 4\n",
"Grapes: 4\n",
"Peaches: 4\n"
]
}
],
"source": [
"#Call the functions in the appropriate sequence to execute the program and manage customer orders.\n",
"\n",
"\n",
"# Main program execution\n",
"def main():\n",
" # Example products available in the store\n",
" products = ['Apples', 'Bananas', 'Oranges', 'Grapes', 'Peaches']\n",
" \n",
" # Step 1: Initialize the inventory\n",
" inventory = initialize_inventory(products)\n",
" \n",
" # Step 2: Get customer orders\n",
" customer_orders = get_customer_orders()\n",
" \n",
" # Step 3: Update the inventory based on customer orders\n",
" update_inventory(customer_orders, inventory)\n",
" \n",
" # Step 4: Calculate order statistics\n",
" order_statistics = calculate_order_statistics(customer_orders, products)\n",
" \n",
" # Step 5: Print order statistics\n",
" print_order_statistics(order_statistics)\n",
" \n",
" # Step 6: Print updated inventory\n",
" print_updated_inventory(inventory)\n",
"\n",
"# Execute the main program\n",
"if __name__ == \"__main__\":\n",
" main()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9aeacc37-f0fb-46c7-88f7-b9f97ccee651",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -61,7 +287,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.2"
}
},
"nbformat": 4,
Expand Down