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300 changes: 290 additions & 10 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
@@ -1,13 +1,5 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "25d7736c-ba17-4aff-b6bb-66eba20fbf4e",
"metadata": {},
"source": [
"# Lab | Functions"
]
},
{
"cell_type": "markdown",
"id": "0c581062-8967-4d93-b06e-62833222f930",
Expand Down Expand Up @@ -43,11 +35,299 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c23485dc",
"metadata": {},
"outputs": [],
"source": [
"products =[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "8084bcc2",
"metadata": {},
"outputs": [],
"source": [
"# 1. Define a function named initialize_inventory\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" if quantity >= 0:\n",
" inventory[product] = quantity\n",
" break\n",
" else:\n",
" print(\"Please enter a non-negative integer.\")\n",
" except ValueError:\n",
" print(\"Please enter a valid integer.\")\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "1ee70a97",
"metadata": {},
"outputs": [],
"source": [
"# 2. Define a function named get_customer_orders\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" \n",
" while True:\n",
" product = input(\"Enter the name of a product that a customer wants to order: \").strip().lower()\n",
" customer_orders.add(product)\n",
" \n",
" while True:\n",
" another = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
" if another in ['yes', 'y']:\n",
" break\n",
" elif another in ['no', 'n']:\n",
" return customer_orders\n",
" else:\n",
" print(\"Please enter 'yes' or 'no'.\")\n",
" \n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "91d1226e",
"metadata": {},
"outputs": [],
"source": [
"# 3. Define a function named update_inventory\n",
"def update_inventory(customer_orders, inventory):\n",
" \"\"\"\n",
" Update inventory by decreasing quantities based on customer orders.\n",
" \n",
" Parameters:\n",
" customer_orders (set): Set of ordered product names\n",
" inventory (dict): Dictionary with products as keys and quantities as values\n",
" \"\"\"\n",
" for product in customer_orders:\n",
" if product in inventory and inventory[product] > 0:\n",
" inventory[product] -= 1\n",
" else:\n",
" print(f\"Warning: {product} is not available or out of stock.\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "19fabc9f",
"metadata": {},
"outputs": [],
"source": [
"# 4. Define a function named calculate_order_statistics\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" \n",
" return total_products_ordered, percentage_ordered"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "386a4279",
"metadata": {},
"outputs": [],
"source": [
"# 5. Define a function named print_order_statistics\n",
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_ordered = order_statistics\n",
" print(\"\\nOrder Statistics:\")\n",
" print(f\"Total Products Ordered: {total_products_ordered}\")\n",
" print(f\"Percentage of Unique Products Ordered: {percentage_ordered:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "f92c622c",
"metadata": {},
"outputs": [],
"source": [
"# 6. Define a function named print_updated_inventory\n",
"def print_updated_inventory(inventory):\n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "aba969a5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Welcome to the Customer Order Management System!\n",
"Available products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
"\n",
"--- Initializing Inventory ---\n",
"\n",
"--- Getting Customer Orders ---\n",
"\n",
"--- Getting Customer Orders ---\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 1\n",
"Percentage of Unique Products Ordered: 20.00%\n",
"\n",
"--- Updating Inventory ---\n",
"\n",
"Updated Inventory:\n",
"t-shirt: 2\n",
"mug: 1\n",
"hat: 2\n",
"book: 2\n",
"keychain: 2\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 1\n",
"Percentage of Unique Products Ordered: 20.00%\n",
"\n",
"--- Updating Inventory ---\n",
"\n",
"Updated Inventory:\n",
"t-shirt: 2\n",
"mug: 1\n",
"hat: 2\n",
"book: 2\n",
"keychain: 2\n"
]
}
],
"source": [
"# 7. Main execution - Call the functions in the appropriate sequence\n",
"def main():\n",
" # Define the list of products\n",
" products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
" \n",
" print(\"Welcome to the Customer Order Management System!\")\n",
" print(f\"Available products: {products}\")\n",
" \n",
" # Step 1: Initialize inventory\n",
" print(\"\\n--- Initializing Inventory ---\")\n",
" inventory = initialize_inventory(products)\n",
" \n",
" # Step 2: Get customer orders\n",
" print(\"\\n--- Getting Customer Orders ---\")\n",
" customer_orders = get_customer_orders()\n",
" \n",
" # Step 3: Calculate order statistics (before updating inventory)\n",
" order_statistics = calculate_order_statistics(customer_orders, products)\n",
" \n",
" # Step 4: Print order statistics\n",
" print_order_statistics(order_statistics)\n",
" \n",
" # Step 5: Update inventory\n",
" print(\"\\n--- Updating Inventory ---\")\n",
" update_inventory(customer_orders, inventory)\n",
" \n",
" # Step 6: Print updated inventory\n",
" print_updated_inventory(inventory)\n",
"\n",
"# Run the main function\n",
"if __name__ == \"__main__\":\n",
" main()"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e62beeef",
"metadata": {},
"outputs": [],
"source": [
"# Optional: Test individual functions\n",
"def test_functions():\n",
" \"\"\"\n",
" Test individual functions with sample data to ensure they work correctly.\n",
" \"\"\"\n",
" print(\"=== Testing Individual Functions ===\")\n",
" \n",
" # Test data\n",
" test_products = [\"t-shirt\", \"mug\", \"hat\"]\n",
" test_inventory = {\"t-shirt\": 5, \"mug\": 3, \"hat\": 2}\n",
" test_orders = {\"t-shirt\", \"mug\"} # Set of ordered products\n",
" \n",
" print(f\"Test products: {test_products}\")\n",
" print(f\"Test inventory: {test_inventory}\")\n",
" print(f\"Test orders: {test_orders}\")\n",
" \n",
" # Test calculate_order_statistics\n",
" stats = calculate_order_statistics(test_orders, test_products)\n",
" print(f\"\\nOrder statistics: {stats}\")\n",
" \n",
" # Test print_order_statistics\n",
" print_order_statistics(stats)\n",
" \n",
" # Test update_inventory\n",
" print(f\"\\nInventory before update: {test_inventory}\")\n",
" update_inventory(test_orders, test_inventory)\n",
" print(f\"Inventory after update: {test_inventory}\")\n",
" \n",
" # Test print_updated_inventory\n",
" print_updated_inventory(test_inventory)\n",
"\n",
"# Uncomment the line below to run tests\n",
"# test_functions()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "fa294113",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=== Testing Individual Functions ===\n",
"Test products: ['t-shirt', 'mug', 'hat']\n",
"Test inventory: {'t-shirt': 5, 'mug': 3, 'hat': 2}\n",
"Test orders: {'mug', 't-shirt'}\n",
"\n",
"Order statistics: (2, 66.66666666666666)\n",
"\n",
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Unique Products Ordered: 66.67%\n",
"\n",
"Inventory before update: {'t-shirt': 5, 'mug': 3, 'hat': 2}\n",
"Inventory after update: {'t-shirt': 4, 'mug': 2, 'hat': 2}\n",
"\n",
"Updated Inventory:\n",
"t-shirt: 4\n",
"mug: 2\n",
"hat: 2\n"
]
}
],
"source": [
"# Run the test function to verify all functions work correctly\n",
"test_functions()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +341,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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