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solved lab #614

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156 changes: 155 additions & 1 deletion lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,160 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "e8947610-da2c-447b-9a68-bd32b4d9bce7",
"metadata": {},
"outputs": [],
"source": [
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory={} \n",
"def initialize_inventory(products): #1\n",
" \n",
"\n",
" for x in products: \n",
" qnt =input (f\" Enter the inventory quantity of {x}: \")\n",
" inventory[x] = int(qnt)\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "3c8b1d6f-38e0-4dab-b2c5-d3d12adf8f29",
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()\n",
"def get_customer_orders(): #2\n",
" \n",
" answer=\"yes\"\n",
"\n",
" while answer == \"yes\" : \n",
" product = input(\"Enter a product (t-shirt, mug, hat, book, keychain): \") \n",
" customer_orders.add(product) \n",
" answer = input(\"Do you want to add another product? (yes/no): \") \n",
" return customer_orders\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "f016781a-56b1-436f-be04-92bacd2b4e13",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders,inventory): #3\n",
" for product in customer_orders: \n",
" inventory[product] -= 1\n"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "4a9bc856-f567-4798-ba68-3e204e44e543",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics (customer_orders,products): #4\n",
" \n",
" total_products_ordered = len(customer_orders) \n",
" percentage_products_ordered = (total_products_ordered / len(products)) * 100 \n",
" order_statistics = (total_products_ordered, percentage_products_ordered)\n",
" return order_statistics\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "c733cf1b-8ff8-41d1-93d3-5a3821b7e30e",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics): #5\n",
" total, percentage = order_statistics\n",
" print(\"Order Statistics:\") \n",
" print(f\"Total Products Ordered: {total}\")\n",
" print(f\"Percentage of Products Ordered: {percentage}%\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "5f9f6ca4-88b5-451f-b85d-5a54ed33dfc0",
"metadata": {},
"outputs": [],
"source": [
"def print_updated_inventory(inventory): #6\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "db8d6253-88ef-41b2-9609-6895f9b54224",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
" Enter the inventory quantity of t-shirt: 8\n",
" Enter the inventory quantity of mug: 9\n",
" Enter the inventory quantity of hat: 45\n",
" Enter the inventory quantity of book: 76\n",
" Enter the inventory quantity of keychain: 4\n",
"Enter a product (t-shirt, mug, hat, book, keychain): hat\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product (t-shirt, mug, hat, book, keychain): book\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product (t-shirt, mug, hat, book, keychain): mug\n",
"Do you want to add another product? (yes/no): np\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n"
]
},
{
"ename": "NameError",
"evalue": "name 'inventor' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[40], line 7\u001b[0m\n\u001b[1;32m 5\u001b[0m order_statistics \u001b[38;5;241m=\u001b[39m calculate_order_statistics (customer_orders,products)\n\u001b[1;32m 6\u001b[0m print_order_statistics(order_statistics)\n\u001b[0;32m----> 7\u001b[0m \u001b[43mprint_updated_inventory\u001b[49m\u001b[43m(\u001b[49m\u001b[43minventory\u001b[49m\u001b[43m)\u001b[49m\n",
"Cell \u001b[0;32mIn[38], line 2\u001b[0m, in \u001b[0;36mprint_updated_inventory\u001b[0;34m(inventory)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mprint_updated_inventory\u001b[39m(inventory): \u001b[38;5;66;03m#6\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minventor\u001b[49m\n",
"\u001b[0;31mNameError\u001b[0m: name 'inventor' is not defined"
]
}
],
"source": [
"initialize_inventory(products)\n",
"get_customer_orders()\n",
"update_inventory(customer_orders,inventory)\n",
"calculate_order_statistics (customer_orders,products)\n",
"order_statistics = calculate_order_statistics (customer_orders,products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2e5abf70-0746-42e7-b2cd-832f420b4a52",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +215,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.9.6"
}
},
"nbformat": 4,
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