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Week1Lab3 done #686

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150 changes: 148 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 +43,157 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ea69cf8c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"--- Initialize Inventory ---\n",
"\n",
"--- Get Customer Orders ---\n",
"Enter product names to order. Type 'done' when finished.\n",
"-> Added 'Cap' to your order list.\n",
"-> Added 'Hoodie' to your order list.\n",
"-> Added 'Hat' to your order list.\n",
"-> Added 'T-Shirt' to your order list.\n",
"Warning: 'Hat' does not exist in inventory!\n",
"\n",
"--- Order Statistics ---\n",
"Total products ordered: 4\n",
"Percentage of unique products ordered: 75.00%\n",
"\n",
"--- Updated Inventory ---\n",
"T-Shirt: 99\n",
"Hoodie: 199\n",
"Cap: 299\n",
"Socks: 400\n"
]
}
],
"source": [
"from functools import reduce\n",
"\n",
"def initialize_inventory(products):\n",
" \"\"\"1. Initializes the inventory dictionary using a loop and user input.\"\"\"\n",
" inventory = {}\n",
" print(\"\\n--- Initialize Inventory ---\")\n",
" for product in products:\n",
" while True:\n",
" try:\n",
" quantity = int(input(f\"Enter the stock quantity for '{product}': \"))\n",
" if quantity >= 0:\n",
" inventory[product] = quantity\n",
" break\n",
" print(\"Quantity cannot be negative.\")\n",
" except ValueError:\n",
" print(\"Please enter a valid whole number.\")\n",
" return inventory\n",
"\n",
"\n",
"def get_customer_orders():\n",
" \"\"\"2. Prompts the user to enter product names and returns a unique set.\"\"\"\n",
" customer_orders = set()\n",
" print(\"\\n--- Get Customer Orders ---\")\n",
" print(\"Enter product names to order. Type 'done' when finished.\")\n",
" \n",
" while True:\n",
" order = input(\"Enter product name: \").strip()\n",
" if order.lower() == 'done':\n",
" break\n",
" if order:\n",
" customer_orders.add(order)\n",
" print(f\"-> Added '{order}' to your order list.\")\n",
" \n",
" return customer_orders\n",
"\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" \"\"\"3. Updates the inventory dictionary based on customer orders (case-insensitive).\"\"\"\n",
" inventory_lowercase = {product.lower(): product for product in inventory}\n",
"\n",
" for order in customer_orders:\n",
" order_lower = order.lower()\n",
" \n",
" if order_lower in inventory_lowercase:\n",
" original_name = inventory_lowercase[order_lower]\n",
" if inventory[original_name] > 0:\n",
" inventory[original_name] -= 1\n",
" else:\n",
" print(f\"Warning: '{original_name}' is out of stock!\")\n",
" else:\n",
" print(f\"Warning: '{order}' does not exist in inventory!\")\n",
"\n",
"\n",
"def calculate_order_statistics(customer_orders, products):\n",
" \"\"\"4. Calculates total products ordered and percentage using lambda and filter().\"\"\"\n",
" total_products_ordered = len(customer_orders)\n",
" \n",
" # Lowercase product list for exact matching\n",
" products_lower = [p.lower() for p in products]\n",
" \n",
" # Use lambda and filter() to keep only the orders that exist in our product catalog\n",
" valid_orders_iterator = filter(lambda order: order.lower() in products_lower, customer_orders)\n",
" \n",
" # Count how many elements passed the filter criteria\n",
" valid_orders_count = len(list(valid_orders_iterator))\n",
" \n",
" if len(products) > 0:\n",
" percentage_ordered = (valid_orders_count / len(products)) * 100\n",
" else:\n",
" percentage_ordered = 0.0\n",
" \n",
" return total_products_ordered, percentage_ordered\n",
"\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" \"\"\"5. Prints the calculated order statistics.\"\"\"\n",
" total, percentage = order_statistics\n",
" print(\"\\n--- Order Statistics ---\")\n",
" print(f\"Total products ordered: {total}\")\n",
" print(f\"Percentage of unique products ordered: {percentage:.2f}%\")\n",
"\n",
"\n",
"def print_updated_inventory(inventory):\n",
" \"\"\"6. Prints the final updated inventory.\"\"\"\n",
" print(\"\\n--- Updated Inventory ---\")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")\n",
"\n",
"\n",
"# 7. Call the functions in the appropriate sequence to execute the program\n",
"if __name__ == \"__main__\":\n",
" products = [\"T-Shirt\", \"Hoodie\", \"Cap\", \"Socks\"]\n",
" \n",
" inventory = initialize_inventory(products)\n",
" customer_orders = get_customer_orders()\n",
" update_inventory(customer_orders, inventory)\n",
" \n",
" # This step now executes your new lambda-filter pipeline internally\n",
" order_statistics = calculate_order_statistics(customer_orders, products)\n",
" \n",
" print_order_statistics(order_statistics)\n",
" print_updated_inventory(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "00aecdcd",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -61,7 +207,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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