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233 changes: 233 additions & 0 deletions Lab_functions.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "770f1bcf-c1cb-4aa5-9d05-f0c99b63afdc",
"metadata": {},
"source": [
"### Creating functions "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "977a6139-e896-4f60-b1ce-c14e354e85b4",
"metadata": {},
"outputs": [],
"source": [
"# Step 1: Initialize inventory\n",
"def initialize_inventory(products):\n",
" \"\"\"\n",
" Initialize inventory dictionary with product names and stock quantities.\n",
" Args:\n",
" products (list): List of product names\n",
" Returns:\n",
" dict: Inventory with product as key and quantity as value\n",
" \"\"\"\n",
" inventory = {}\n",
" for product in products:\n",
" qty = int(input(f\"Enter stock quantity for {product}: \"))\n",
" inventory[product] = qty\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "7d1d4970-0e90-40af-8143-c5ea05f846c7",
"metadata": {},
"outputs": [],
"source": [
"# Step 2: Get customer orders\n",
"def get_customer_orders():\n",
" \"\"\"\n",
" Ask the customer to enter products they want to order.\n",
" Returns:\n",
" set: Unique customer orders\n",
" \"\"\"\n",
" customer_orders = set()\n",
" while True:\n",
" order = input(\"Enter a product name (or 'done' to finish): \").strip().lower()\n",
" if order == \"done\":\n",
" break\n",
" customer_orders.add(order)\n",
" return customer_orders\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7fb9ef5e-fdcb-4579-a073-4bd016d41e04",
"metadata": {},
"outputs": [],
"source": [
"# Step 3: Update inventory\n",
"def update_inventory(customer_orders, inventory):\n",
" \"\"\"\n",
" Decrease inventory stock for each ordered product.\n",
" Args:\n",
" customer_orders (set)\n",
" inventory (dict)\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\" {product} is not available or out of stock!\")\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a43725f5-7241-46fe-8b40-6eab3edae036",
"metadata": {},
"outputs": [],
"source": [
"# Step 4: Calculate order statistics\n",
"def calculate_order_statistics(customer_orders, products):\n",
" \"\"\"\n",
" Calculate total ordered items and percentage of unique products ordered.\n",
" Args:\n",
" customer_orders (set)\n",
" products (list)\n",
" Returns:\n",
" tuple: (total_orders, percentage_unique)\n",
" \"\"\"\n",
" total_orders = len(customer_orders)\n",
" percentage_unique = (total_orders / len(products)) * 100\n",
" return total_orders, percentage_unique"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "64a57760-3769-4394-b5f2-f08b6a2ff730",
"metadata": {},
"outputs": [],
"source": [
"# Step 5: Print order statistics\n",
"def print_order_statistics(order_statistics):\n",
" \"\"\"\n",
" Print total orders and percentage of unique products ordered.\n",
" \"\"\"\n",
" total_orders, percentage_unique = order_statistics\n",
" print(f\"Total unique products ordered: {total_orders}\")\n",
" print(f\"Percentage of catalog ordered: {percentage_unique:.2f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "4a0d5118-016e-4de5-81ca-f96426c2e782",
"metadata": {},
"outputs": [],
"source": [
"# Step 6: Print updated inventory\n",
"def print_updated_inventory(inventory):\n",
" \"\"\"\n",
" Print remaining stock in inventory.\n",
" \"\"\"\n",
" print(\"\\nUpdated Inventory:\")\n",
" for product, qty in inventory.items():\n",
" print(f\"{product}: {qty}\")\n"
]
},
{
"cell_type": "markdown",
"id": "bb094ed2-3292-41bc-b093-01e6c9e24fce",
"metadata": {},
"source": [
"### Main program excution "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "0ed84443-0fdf-4a9c-be65-bb299609766e",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter stock quantity for apple: 3\n",
"Enter stock quantity for banana: 3\n",
"Enter stock quantity for orange: 4\n",
"Enter stock quantity for mango: 5\n",
"Enter a product name (or 'done' to finish): 3\n",
"Enter a product name (or 'done' to finish): done\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 3 is not available or out of stock!\n",
"Total unique products ordered: 1\n",
"Percentage of catalog ordered: 25.00%\n",
"\n",
"Updated Inventory:\n",
"apple: 3\n",
"banana: 3\n",
"orange: 4\n",
"mango: 5\n"
]
}
],
"source": [
"# Main program execution\n",
"# -------------------------------\n",
"if __name__ == \"__main__\":\n",
" # Product catalog\n",
" products = [\"apple\", \"banana\", \"orange\", \"mango\"]\n",
"\n",
" # Initialize inventory\n",
" inventory = initialize_inventory(products)\n",
"\n",
" # Get customer orders\n",
" customer_orders = get_customer_orders()\n",
"\n",
" # Update inventory\n",
" inventory = update_inventory(customer_orders, inventory)\n",
"\n",
" # Calculate statistics\n",
" order_stats = calculate_order_statistics(customer_orders, products)\n",
"\n",
" # Print results\n",
" print_order_statistics(order_stats)\n",
" print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "50a48791-fc50-4681-a791-11dcbd39cf90",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}