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Solved functions lab #437

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280 changes: 279 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 +43,284 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 156,
"id": "09b021ef-204c-4b65-9b5f-663addd99563",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']"
]
},
"execution_count": 156,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"products"
]
},
{
"cell_type": "code",
"execution_count": 157,
"id": "9ea48860-ccc6-4e87-8e6a-3f13f7ba6b09",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Insert the quantity of product: \n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"t-shirt: 100\n",
"mug: 100\n",
"hat: 100\n",
"book: 100\n",
"keychain: 100\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 100, 'mug': 100, 'hat': 100, 'book': 100, 'keychain': 100}\n"
]
}
],
"source": [
"def inizialize_inventory(products):\n",
" inventory = {}\n",
" print(f\"Insert the quantity of product: \")\n",
" for product in products:\n",
" quantity = int(input(f\"{product}: \"))\n",
" inventory[product] = quantity \n",
" return inventory\n",
"\n",
"inventory = inizialize_inventory(products)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "b7e3db56-f8a0-4aad-97d2-5e22a5d0c899",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Insert the name of the product to order: \n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Product: mug\n",
"Quantity of mug: 10\n",
"Do you want to add a new product? Yes/No : Yes\n",
"Product: hat\n",
"Quantity of hat: 10\n",
"Do you want to add a new product? Yes/No : NO\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"You have finished your order\n"
]
}
],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
" print(\"Insert the name of the product to order: \")\n",
" while True:\n",
" order = input(f\"Product: \")\n",
" \n",
" if order in products:\n",
" quantity_order = int(input(f\"Quantity of {order}: \"))\n",
" customer_orders.add((order,quantity_order))\n",
" \n",
" yes_no = input(\"Do you want to add a new product? Yes/No : \")\n",
" if yes_no != \"Yes\":\n",
" print(\"You have finished your order\")\n",
" break \n",
" else:\n",
" print(\"Invalid product.\") \n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 158,
"id": "74815837-d669-47ab-b59f-cda0899c47f1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{('hat', 10), ('mug', 10)}"
]
},
"execution_count": 158,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 271,
"id": "bd94b0fd-c95b-4549-97c7-fbc4c459f065",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products):\n",
" sum_order_prod = sum(qty for _, qty in customer_orders)\n",
" sum_invent_prod = sum(inventory.values())\n",
" print(f\"Total of products ordered: {sum_order_prod}\")\n",
" percentage = (sum_order_prod / sum_invent_prod) * 100\n",
" print(f\"Percentage of products ordered: {percentage:.2f}%\")\n",
" return (sum_order_prod, percentage)"
]
},
{
"cell_type": "code",
"execution_count": 276,
"id": "cd029576-1b06-44b4-9158-806bb8ee08d7",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named print_order_statistics that takes order_statistics as a parameter. Inside the function, implement the code for printing the order statistics.\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" sum_order_prod, percentage = order_statistics\n",
" print({sum_order_prod} , {percentage})"
]
},
{
"cell_type": "code",
"execution_count": 277,
"id": "2e2ae312-e184-41a1-935f-77ef404a2fbf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{20} {4.0}\n"
]
}
],
"source": [
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 225,
"id": "7323aef3-95bc-4b6c-ac61-2db908855d74",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 100, 'mug': 30, 'hat': 30, 'book': 100, 'keychain': 100}\n"
]
}
],
"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, quantity_order in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= quantity_order\n",
" if inventory[product] < 0:\n",
" inventory[product] = 0\n",
"\n",
" return inventory\n",
"\n",
"inventory = update_inventory(customer_orders, inventory)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 226,
"id": "7af207ba-df96-4314-aa12-ef86f2d78bc7",
"metadata": {},
"outputs": [],
"source": [
"#Define a function named print_updated_inventory that takes inventory as a parameter. Inside the function, implement the code for printing the updated inventory.\n",
"\n",
"def print_updated_inventory(inventory):\n",
" print(\"Update_inventory: \")\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity} \")\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 229,
"id": "1f0478c1-0cfa-4407-8dca-54472c0f1113",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Update_inventory: \n",
"t-shirt: 100 \n",
"mug: 30 \n",
"hat: 30 \n",
"book: 100 \n",
"keychain: 100 \n"
]
}
],
"source": [
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc366a61-91c8-4723-9b00-cb541c17c986",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "30b94608-0db2-444e-8448-2c0f85a26771",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +339,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down